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New Data Challenge 130 mm Hg As Systolic BP Target in Diabetes
Major Finding: Among diabetes patients at high cardiovascular risk, those treated to a mean systolic blood pressure of 119.3 mm Hg had a 1.87%/year rate of nonfatal MI, nonfatal stroke, or cardiovascular death over 4.7 years, compared with 2.09%/year in patients treated to a mean systolic blood pressure of 133.5 mm Hg. The difference was not statistically significant.
Data Source: ACCORD blood pressure trial, a randomized, controlled study of 4,733 patients with type 2 diabetes.
Disclosures: Dr. Cushman has received consultant fees and honoraria from Novartis, Sanofi-Aventis, Theravance, and Takeda, and served on data and safety monitoring boards of Novartis and Gilead. Dr. Bakris reported financial relationships with Abbott, GlaxoSmithKline, Novartis, Merck, Gilead, and other companies. Dr. Cooper-DeHoff and Dr. Simons-Morton had no disclosures.
ATLANTA — The official U.S. guideline that patients with diabetes should receive treatment to a blood pressure target of less than 130/80 mm Hg became suspect following reports from a pair of large studies showing no benefit in these patients beyond a goal systolic pressure of less than 140 mm Hg.
In a controlled trial with more than 4,700 U.S. patients with type 2 diabetes randomized to an intensive antihypertensive regimen with a goal systolic pressure of less than 120 mm Hg or to a standard-therapy arm aiming for less than 140 mm Hg, “the results provided no conclusive evidence that the intensive blood pressure control strategy reduces the rate of a composite of major cardiovascular disease events,” Dr. William C. Cushman said at the annual meeting of the American College of Cardiology.
“We were surprised by the findings” from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) blood pressure trial, said Dr. Cushman, chief of the preventive medicine section at the VA Medical Center in Memphis. “The evidence supports less than 140 mm Hg. There generally was thinking that if you're dealing with [high cardiovascular risk], such as patients with diabetes, it makes sense that their goal pressure should be more intense.” The results “clearly say that we can't think that way anymore” and should influence recommendations expected in about a year from the Eighth Report of the Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 8), he said in an interview.
The existing hypertension treatment guidelines of the National Heart, Blood, and Lung Institute, JNC 7, have a blood pressure treatment target of less than 130/80 mm Hg for patients with diabetes (JAMA 2003;289:2560-71). Dr. Cushman was a member of the JNC 7 panel, and is a member of the group now working on JNC 8.
The JNC 7 blood pressure target for patients with diabetes “was an extrapolation based on observational data. The guidelines were beyond evidence from randomized, controlled trials,” said Dr. Denise Simons-Morton, project director for ACCORD and director of the NHLBI division responsible for the JNC guidelines. The new ACCORD findings show that this extrapolation was a mistake, and that current evidence cannot support a goal systolic pressure that is more aggressive than the target of less than 140 mm Hg, she said in an interview.
Because of the way that JNC 8 is being prepared, the ACCORD results may be too late for inclusion in the new guidelines, said Dr. George Bakris, professor of medicine at the University of Chicago, who was a member of the JNC 7 writing committee but is not a member of the JNC 8 panel. But, he added in an interview, “all other guidelines” on treating hypertension in patients with diabetes, including those from the American Diabetes Association and various international societies, “will have to revise their blood pressure goals” based on the ACCORD results. In an editorial last year, Dr. Bakris and an associate called the goal of a systolic pressure below 130 mm Hg in patients with chronic kidney disease “questionable” (J. Clin. Hypertension 2009;11:345-7).
The 2,362 patients in the intensive-treatment arm of the ACCORD blood pressure trial reached a mean systolic pressure of 119.3 mm Hg after the first year while receiving an average of 3.4 antihypertensive drugs; those patients had a 1.87%/year rate of nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death during an average follow-up of 4.7 years. The 2,371 patients in the standard-therapy arm reached a mean systolic pressure of 133.5 mm Hg after the first year and received an average of 2.1 drugs; they had a 2.09%/year rate for the combined end point. The difference in rates between the two groups was not statistically significant. Concurrently with Dr. Cushman's report at the meeting, the results were posted online (N. Engl. J. Med. 2010 March 14 [doi:10.1056/NEJMoa1001286]).
“Less than 140 mm Hg is the message we need to put out, and less than 130 mm Hg is probably not necessary to achieve benefit and may be harmful in certain populations,” said Rhonda M. Cooper-DeHoff, Pharm.D., associate director of the cardiovascular clinical research program at the University of Florida, Gainesville.
Dr. DeHoff presented results from a second study that also called into question a systolic blood pressure goal of less than 130 mm Hg for patients with diabetes. Her study used long-term follow-up data from the 6,400 patients with diabetes who had participated in the International Verapamil SR-Trandolapril (INVEST) study, with an overall enrollment of more than 22,000 patients that compared two different antihypertensive regimens (JAMA 2003;290:2805-16).
Using data collected during the trial plus 5 years of follow-up, Dr. DeHoff and her associates showed that the 2,255 patients with diabetes maintained at a systolic blood pressure below 130 mm Hg had cardiovascular disease event rates similar to the 1,970 patients with diabetes maintained at a systolic blood pressure of 130-139 mm Hg; patients in both groups did significantly better than did a third group of 2,175 patients with diabetes whose systolic pressure consistently remained at 140 mm Hg or higher. Among the 5,077 U.S. patients with diabetes in INVEST, those kept at a systolic pressure of less than 130 mm Hg had a significant 15% increase in the rate of all-cause death, compared with the patients kept at a systolic pressure of 130-139 mm Hg.
“Based on the results from ACCORD and INVEST, is it time to rethink lower blood pressure goals in patients with diabetes and coronary artery disease?” Dr. DeHoff asked as she concluded her report at the meeting.
To apply the ACCORD results in practice, Dr. Cushman advises physicians to prescribe for patients with diabetes a “maximum” dosage of a renin-angiotensin-aldosterone system (RAAS) blocker drug, such as an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, plus a diuretic such as chlorthalidone. He also urges physicians to prescribe other drugs with antihypertensive effects, such as certain beta-blockers or calcium channel blockers, that patients with diabetes and a high risk for cardiovascular disease events might need for specific risk indications.
If a patient's systolic pressure remains above 140 mm Hg despite these treatments, then another agent should be added; if the indicated drugs bring the patient's systolic pressure below 140 mm Hg, then additional treatments should stop. However, if the indicated drugs bring the patient's pressure moderately below 130 mm Hg, “I wouldn't back off,” and withdraw drugs that the patient might otherwise need, he said.
In this way, practice should not fully mimic the ACCORD trial design. In that trial, patients in the standard-therapy arm came off one or more of their medications if their systolic pressure fell below 130 mm Hg, noted Dr. Cushman, who also is professor of medicine at the University of Tennessee in Memphis.
Intensive blood pressure control did not reduce the rate of major cardiovascular disease events in patients with diabetes, Dr. William C. Cushman reported.
Source Courtesy Memphis VAMC
If the indicated drugs bring a patient's pressure moderately below 130 mm Hg, 'I wouldn't back off.'
Source Dr. Cushman
This Month's Talk Back Question
How low do you try to get blood pressure in your patients with diabetes?
My Take
Study Findings Diverge From Observational Data
We would have predicted that the lower a patient's blood pressure the better the outcome, and we have therefore sought to get blood pressures lower.
Normal blood pressure is less than 120/80 mm Hg, but we had no data on treating patients to blood pressures that low. Nature says that high blood pressure is not good, and we try to simulate nature by using treatments that lower blood pressure by lifestyle and drugs. There is no question that lower blood pressure benefits patients, but where is the floor? Is a pressure of 140 mm Hg good enough?
For patients with diabetes, chronic kidney disease, or dyslipidemia the guidelines set a lower target pressure. But in this large trial we did not see a difference from bringing the pressure lower. We need to look at the results further to try to explain them.
ELIJAH SAUNDERS, M.D., is professor of medicine and head of the division of hypertension at the University of Maryland in Baltimore. He has been a consultant to, served on the speakers bureau for, and has received research support from Bristol-Myers Squibb, Forest, Novartis, Pfizer, and Sanofi-Aventis.
Major Finding: Among diabetes patients at high cardiovascular risk, those treated to a mean systolic blood pressure of 119.3 mm Hg had a 1.87%/year rate of nonfatal MI, nonfatal stroke, or cardiovascular death over 4.7 years, compared with 2.09%/year in patients treated to a mean systolic blood pressure of 133.5 mm Hg. The difference was not statistically significant.
Data Source: ACCORD blood pressure trial, a randomized, controlled study of 4,733 patients with type 2 diabetes.
Disclosures: Dr. Cushman has received consultant fees and honoraria from Novartis, Sanofi-Aventis, Theravance, and Takeda, and served on data and safety monitoring boards of Novartis and Gilead. Dr. Bakris reported financial relationships with Abbott, GlaxoSmithKline, Novartis, Merck, Gilead, and other companies. Dr. Cooper-DeHoff and Dr. Simons-Morton had no disclosures.
ATLANTA — The official U.S. guideline that patients with diabetes should receive treatment to a blood pressure target of less than 130/80 mm Hg became suspect following reports from a pair of large studies showing no benefit in these patients beyond a goal systolic pressure of less than 140 mm Hg.
In a controlled trial with more than 4,700 U.S. patients with type 2 diabetes randomized to an intensive antihypertensive regimen with a goal systolic pressure of less than 120 mm Hg or to a standard-therapy arm aiming for less than 140 mm Hg, “the results provided no conclusive evidence that the intensive blood pressure control strategy reduces the rate of a composite of major cardiovascular disease events,” Dr. William C. Cushman said at the annual meeting of the American College of Cardiology.
“We were surprised by the findings” from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) blood pressure trial, said Dr. Cushman, chief of the preventive medicine section at the VA Medical Center in Memphis. “The evidence supports less than 140 mm Hg. There generally was thinking that if you're dealing with [high cardiovascular risk], such as patients with diabetes, it makes sense that their goal pressure should be more intense.” The results “clearly say that we can't think that way anymore” and should influence recommendations expected in about a year from the Eighth Report of the Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 8), he said in an interview.
The existing hypertension treatment guidelines of the National Heart, Blood, and Lung Institute, JNC 7, have a blood pressure treatment target of less than 130/80 mm Hg for patients with diabetes (JAMA 2003;289:2560-71). Dr. Cushman was a member of the JNC 7 panel, and is a member of the group now working on JNC 8.
The JNC 7 blood pressure target for patients with diabetes “was an extrapolation based on observational data. The guidelines were beyond evidence from randomized, controlled trials,” said Dr. Denise Simons-Morton, project director for ACCORD and director of the NHLBI division responsible for the JNC guidelines. The new ACCORD findings show that this extrapolation was a mistake, and that current evidence cannot support a goal systolic pressure that is more aggressive than the target of less than 140 mm Hg, she said in an interview.
Because of the way that JNC 8 is being prepared, the ACCORD results may be too late for inclusion in the new guidelines, said Dr. George Bakris, professor of medicine at the University of Chicago, who was a member of the JNC 7 writing committee but is not a member of the JNC 8 panel. But, he added in an interview, “all other guidelines” on treating hypertension in patients with diabetes, including those from the American Diabetes Association and various international societies, “will have to revise their blood pressure goals” based on the ACCORD results. In an editorial last year, Dr. Bakris and an associate called the goal of a systolic pressure below 130 mm Hg in patients with chronic kidney disease “questionable” (J. Clin. Hypertension 2009;11:345-7).
The 2,362 patients in the intensive-treatment arm of the ACCORD blood pressure trial reached a mean systolic pressure of 119.3 mm Hg after the first year while receiving an average of 3.4 antihypertensive drugs; those patients had a 1.87%/year rate of nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death during an average follow-up of 4.7 years. The 2,371 patients in the standard-therapy arm reached a mean systolic pressure of 133.5 mm Hg after the first year and received an average of 2.1 drugs; they had a 2.09%/year rate for the combined end point. The difference in rates between the two groups was not statistically significant. Concurrently with Dr. Cushman's report at the meeting, the results were posted online (N. Engl. J. Med. 2010 March 14 [doi:10.1056/NEJMoa1001286]).
“Less than 140 mm Hg is the message we need to put out, and less than 130 mm Hg is probably not necessary to achieve benefit and may be harmful in certain populations,” said Rhonda M. Cooper-DeHoff, Pharm.D., associate director of the cardiovascular clinical research program at the University of Florida, Gainesville.
Dr. DeHoff presented results from a second study that also called into question a systolic blood pressure goal of less than 130 mm Hg for patients with diabetes. Her study used long-term follow-up data from the 6,400 patients with diabetes who had participated in the International Verapamil SR-Trandolapril (INVEST) study, with an overall enrollment of more than 22,000 patients that compared two different antihypertensive regimens (JAMA 2003;290:2805-16).
Using data collected during the trial plus 5 years of follow-up, Dr. DeHoff and her associates showed that the 2,255 patients with diabetes maintained at a systolic blood pressure below 130 mm Hg had cardiovascular disease event rates similar to the 1,970 patients with diabetes maintained at a systolic blood pressure of 130-139 mm Hg; patients in both groups did significantly better than did a third group of 2,175 patients with diabetes whose systolic pressure consistently remained at 140 mm Hg or higher. Among the 5,077 U.S. patients with diabetes in INVEST, those kept at a systolic pressure of less than 130 mm Hg had a significant 15% increase in the rate of all-cause death, compared with the patients kept at a systolic pressure of 130-139 mm Hg.
“Based on the results from ACCORD and INVEST, is it time to rethink lower blood pressure goals in patients with diabetes and coronary artery disease?” Dr. DeHoff asked as she concluded her report at the meeting.
To apply the ACCORD results in practice, Dr. Cushman advises physicians to prescribe for patients with diabetes a “maximum” dosage of a renin-angiotensin-aldosterone system (RAAS) blocker drug, such as an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, plus a diuretic such as chlorthalidone. He also urges physicians to prescribe other drugs with antihypertensive effects, such as certain beta-blockers or calcium channel blockers, that patients with diabetes and a high risk for cardiovascular disease events might need for specific risk indications.
If a patient's systolic pressure remains above 140 mm Hg despite these treatments, then another agent should be added; if the indicated drugs bring the patient's systolic pressure below 140 mm Hg, then additional treatments should stop. However, if the indicated drugs bring the patient's pressure moderately below 130 mm Hg, “I wouldn't back off,” and withdraw drugs that the patient might otherwise need, he said.
In this way, practice should not fully mimic the ACCORD trial design. In that trial, patients in the standard-therapy arm came off one or more of their medications if their systolic pressure fell below 130 mm Hg, noted Dr. Cushman, who also is professor of medicine at the University of Tennessee in Memphis.
Intensive blood pressure control did not reduce the rate of major cardiovascular disease events in patients with diabetes, Dr. William C. Cushman reported.
Source Courtesy Memphis VAMC
If the indicated drugs bring a patient's pressure moderately below 130 mm Hg, 'I wouldn't back off.'
Source Dr. Cushman
This Month's Talk Back Question
How low do you try to get blood pressure in your patients with diabetes?
My Take
Study Findings Diverge From Observational Data
We would have predicted that the lower a patient's blood pressure the better the outcome, and we have therefore sought to get blood pressures lower.
Normal blood pressure is less than 120/80 mm Hg, but we had no data on treating patients to blood pressures that low. Nature says that high blood pressure is not good, and we try to simulate nature by using treatments that lower blood pressure by lifestyle and drugs. There is no question that lower blood pressure benefits patients, but where is the floor? Is a pressure of 140 mm Hg good enough?
For patients with diabetes, chronic kidney disease, or dyslipidemia the guidelines set a lower target pressure. But in this large trial we did not see a difference from bringing the pressure lower. We need to look at the results further to try to explain them.
ELIJAH SAUNDERS, M.D., is professor of medicine and head of the division of hypertension at the University of Maryland in Baltimore. He has been a consultant to, served on the speakers bureau for, and has received research support from Bristol-Myers Squibb, Forest, Novartis, Pfizer, and Sanofi-Aventis.
Major Finding: Among diabetes patients at high cardiovascular risk, those treated to a mean systolic blood pressure of 119.3 mm Hg had a 1.87%/year rate of nonfatal MI, nonfatal stroke, or cardiovascular death over 4.7 years, compared with 2.09%/year in patients treated to a mean systolic blood pressure of 133.5 mm Hg. The difference was not statistically significant.
Data Source: ACCORD blood pressure trial, a randomized, controlled study of 4,733 patients with type 2 diabetes.
Disclosures: Dr. Cushman has received consultant fees and honoraria from Novartis, Sanofi-Aventis, Theravance, and Takeda, and served on data and safety monitoring boards of Novartis and Gilead. Dr. Bakris reported financial relationships with Abbott, GlaxoSmithKline, Novartis, Merck, Gilead, and other companies. Dr. Cooper-DeHoff and Dr. Simons-Morton had no disclosures.
ATLANTA — The official U.S. guideline that patients with diabetes should receive treatment to a blood pressure target of less than 130/80 mm Hg became suspect following reports from a pair of large studies showing no benefit in these patients beyond a goal systolic pressure of less than 140 mm Hg.
In a controlled trial with more than 4,700 U.S. patients with type 2 diabetes randomized to an intensive antihypertensive regimen with a goal systolic pressure of less than 120 mm Hg or to a standard-therapy arm aiming for less than 140 mm Hg, “the results provided no conclusive evidence that the intensive blood pressure control strategy reduces the rate of a composite of major cardiovascular disease events,” Dr. William C. Cushman said at the annual meeting of the American College of Cardiology.
“We were surprised by the findings” from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) blood pressure trial, said Dr. Cushman, chief of the preventive medicine section at the VA Medical Center in Memphis. “The evidence supports less than 140 mm Hg. There generally was thinking that if you're dealing with [high cardiovascular risk], such as patients with diabetes, it makes sense that their goal pressure should be more intense.” The results “clearly say that we can't think that way anymore” and should influence recommendations expected in about a year from the Eighth Report of the Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 8), he said in an interview.
The existing hypertension treatment guidelines of the National Heart, Blood, and Lung Institute, JNC 7, have a blood pressure treatment target of less than 130/80 mm Hg for patients with diabetes (JAMA 2003;289:2560-71). Dr. Cushman was a member of the JNC 7 panel, and is a member of the group now working on JNC 8.
The JNC 7 blood pressure target for patients with diabetes “was an extrapolation based on observational data. The guidelines were beyond evidence from randomized, controlled trials,” said Dr. Denise Simons-Morton, project director for ACCORD and director of the NHLBI division responsible for the JNC guidelines. The new ACCORD findings show that this extrapolation was a mistake, and that current evidence cannot support a goal systolic pressure that is more aggressive than the target of less than 140 mm Hg, she said in an interview.
Because of the way that JNC 8 is being prepared, the ACCORD results may be too late for inclusion in the new guidelines, said Dr. George Bakris, professor of medicine at the University of Chicago, who was a member of the JNC 7 writing committee but is not a member of the JNC 8 panel. But, he added in an interview, “all other guidelines” on treating hypertension in patients with diabetes, including those from the American Diabetes Association and various international societies, “will have to revise their blood pressure goals” based on the ACCORD results. In an editorial last year, Dr. Bakris and an associate called the goal of a systolic pressure below 130 mm Hg in patients with chronic kidney disease “questionable” (J. Clin. Hypertension 2009;11:345-7).
The 2,362 patients in the intensive-treatment arm of the ACCORD blood pressure trial reached a mean systolic pressure of 119.3 mm Hg after the first year while receiving an average of 3.4 antihypertensive drugs; those patients had a 1.87%/year rate of nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death during an average follow-up of 4.7 years. The 2,371 patients in the standard-therapy arm reached a mean systolic pressure of 133.5 mm Hg after the first year and received an average of 2.1 drugs; they had a 2.09%/year rate for the combined end point. The difference in rates between the two groups was not statistically significant. Concurrently with Dr. Cushman's report at the meeting, the results were posted online (N. Engl. J. Med. 2010 March 14 [doi:10.1056/NEJMoa1001286]).
“Less than 140 mm Hg is the message we need to put out, and less than 130 mm Hg is probably not necessary to achieve benefit and may be harmful in certain populations,” said Rhonda M. Cooper-DeHoff, Pharm.D., associate director of the cardiovascular clinical research program at the University of Florida, Gainesville.
Dr. DeHoff presented results from a second study that also called into question a systolic blood pressure goal of less than 130 mm Hg for patients with diabetes. Her study used long-term follow-up data from the 6,400 patients with diabetes who had participated in the International Verapamil SR-Trandolapril (INVEST) study, with an overall enrollment of more than 22,000 patients that compared two different antihypertensive regimens (JAMA 2003;290:2805-16).
Using data collected during the trial plus 5 years of follow-up, Dr. DeHoff and her associates showed that the 2,255 patients with diabetes maintained at a systolic blood pressure below 130 mm Hg had cardiovascular disease event rates similar to the 1,970 patients with diabetes maintained at a systolic blood pressure of 130-139 mm Hg; patients in both groups did significantly better than did a third group of 2,175 patients with diabetes whose systolic pressure consistently remained at 140 mm Hg or higher. Among the 5,077 U.S. patients with diabetes in INVEST, those kept at a systolic pressure of less than 130 mm Hg had a significant 15% increase in the rate of all-cause death, compared with the patients kept at a systolic pressure of 130-139 mm Hg.
“Based on the results from ACCORD and INVEST, is it time to rethink lower blood pressure goals in patients with diabetes and coronary artery disease?” Dr. DeHoff asked as she concluded her report at the meeting.
To apply the ACCORD results in practice, Dr. Cushman advises physicians to prescribe for patients with diabetes a “maximum” dosage of a renin-angiotensin-aldosterone system (RAAS) blocker drug, such as an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, plus a diuretic such as chlorthalidone. He also urges physicians to prescribe other drugs with antihypertensive effects, such as certain beta-blockers or calcium channel blockers, that patients with diabetes and a high risk for cardiovascular disease events might need for specific risk indications.
If a patient's systolic pressure remains above 140 mm Hg despite these treatments, then another agent should be added; if the indicated drugs bring the patient's systolic pressure below 140 mm Hg, then additional treatments should stop. However, if the indicated drugs bring the patient's pressure moderately below 130 mm Hg, “I wouldn't back off,” and withdraw drugs that the patient might otherwise need, he said.
In this way, practice should not fully mimic the ACCORD trial design. In that trial, patients in the standard-therapy arm came off one or more of their medications if their systolic pressure fell below 130 mm Hg, noted Dr. Cushman, who also is professor of medicine at the University of Tennessee in Memphis.
Intensive blood pressure control did not reduce the rate of major cardiovascular disease events in patients with diabetes, Dr. William C. Cushman reported.
Source Courtesy Memphis VAMC
If the indicated drugs bring a patient's pressure moderately below 130 mm Hg, 'I wouldn't back off.'
Source Dr. Cushman
This Month's Talk Back Question
How low do you try to get blood pressure in your patients with diabetes?
My Take
Study Findings Diverge From Observational Data
We would have predicted that the lower a patient's blood pressure the better the outcome, and we have therefore sought to get blood pressures lower.
Normal blood pressure is less than 120/80 mm Hg, but we had no data on treating patients to blood pressures that low. Nature says that high blood pressure is not good, and we try to simulate nature by using treatments that lower blood pressure by lifestyle and drugs. There is no question that lower blood pressure benefits patients, but where is the floor? Is a pressure of 140 mm Hg good enough?
For patients with diabetes, chronic kidney disease, or dyslipidemia the guidelines set a lower target pressure. But in this large trial we did not see a difference from bringing the pressure lower. We need to look at the results further to try to explain them.
ELIJAH SAUNDERS, M.D., is professor of medicine and head of the division of hypertension at the University of Maryland in Baltimore. He has been a consultant to, served on the speakers bureau for, and has received research support from Bristol-Myers Squibb, Forest, Novartis, Pfizer, and Sanofi-Aventis.
Battle Lines Drawn: Quality vs. Cost
The cost of healthcare varies widely from hospital to hospital and doesn't appear to be inherently linked to the quality of patient care, according to a study in the Archives of Internal Medicine.
"It's particularly perplexing because the differences in cost are quite substantial," says Mitchell Katz, MD, director of San Francisco's public-health program and the author of an accompanying editorial calling for more research.
The Feb. 22 report found wide disparities in the costs of care but no strong correlation in the context of patient care or the risk of death within 30 days. The nationwide study by researchers at the University of Michigan reviewed some 3,150 hospitals that discharged Medicare patients admitted for congestive heart failure or pneumonia in 2006. Data were studied in association with variables including readmission rates and quality scores.
Compared with hospitals in the lowest-cost quartile for congestive heart failure care, the researchers found that hospitals in the highest-cost quartile had higher quality-of-care scores (89.9% vs. 85.5%) and lower mortality for congestive heart failure (9.8% vs. 10.8%). For pneumonia, however, the converse was true. Compared with lower-cost hospitals, high-cost hospitals had lower quality-of-care scores (85.7% vs. 86.6%) and higher mortality (11.7% vs. 10.9%).
Dr. Katz is heartened that the study found longer length-of-stay (LOS) at high-cost hospitals, suggesting that decreased LOS—a staple of HM's value-added services—will slash hospital costs. But he says more randomized, comparative-effectiveness studies need to be published. Hospitalists are in a natural position to author those examinations, he says. "One of the roles of a hospitalist can be to be advocates of 'Yes, we think it can be done,' " Dr. Katz says. "Because there are a lot of doctors who want to say, ‘No, it can’t be done.' "
The cost of healthcare varies widely from hospital to hospital and doesn't appear to be inherently linked to the quality of patient care, according to a study in the Archives of Internal Medicine.
"It's particularly perplexing because the differences in cost are quite substantial," says Mitchell Katz, MD, director of San Francisco's public-health program and the author of an accompanying editorial calling for more research.
The Feb. 22 report found wide disparities in the costs of care but no strong correlation in the context of patient care or the risk of death within 30 days. The nationwide study by researchers at the University of Michigan reviewed some 3,150 hospitals that discharged Medicare patients admitted for congestive heart failure or pneumonia in 2006. Data were studied in association with variables including readmission rates and quality scores.
Compared with hospitals in the lowest-cost quartile for congestive heart failure care, the researchers found that hospitals in the highest-cost quartile had higher quality-of-care scores (89.9% vs. 85.5%) and lower mortality for congestive heart failure (9.8% vs. 10.8%). For pneumonia, however, the converse was true. Compared with lower-cost hospitals, high-cost hospitals had lower quality-of-care scores (85.7% vs. 86.6%) and higher mortality (11.7% vs. 10.9%).
Dr. Katz is heartened that the study found longer length-of-stay (LOS) at high-cost hospitals, suggesting that decreased LOS—a staple of HM's value-added services—will slash hospital costs. But he says more randomized, comparative-effectiveness studies need to be published. Hospitalists are in a natural position to author those examinations, he says. "One of the roles of a hospitalist can be to be advocates of 'Yes, we think it can be done,' " Dr. Katz says. "Because there are a lot of doctors who want to say, ‘No, it can’t be done.' "
The cost of healthcare varies widely from hospital to hospital and doesn't appear to be inherently linked to the quality of patient care, according to a study in the Archives of Internal Medicine.
"It's particularly perplexing because the differences in cost are quite substantial," says Mitchell Katz, MD, director of San Francisco's public-health program and the author of an accompanying editorial calling for more research.
The Feb. 22 report found wide disparities in the costs of care but no strong correlation in the context of patient care or the risk of death within 30 days. The nationwide study by researchers at the University of Michigan reviewed some 3,150 hospitals that discharged Medicare patients admitted for congestive heart failure or pneumonia in 2006. Data were studied in association with variables including readmission rates and quality scores.
Compared with hospitals in the lowest-cost quartile for congestive heart failure care, the researchers found that hospitals in the highest-cost quartile had higher quality-of-care scores (89.9% vs. 85.5%) and lower mortality for congestive heart failure (9.8% vs. 10.8%). For pneumonia, however, the converse was true. Compared with lower-cost hospitals, high-cost hospitals had lower quality-of-care scores (85.7% vs. 86.6%) and higher mortality (11.7% vs. 10.9%).
Dr. Katz is heartened that the study found longer length-of-stay (LOS) at high-cost hospitals, suggesting that decreased LOS—a staple of HM's value-added services—will slash hospital costs. But he says more randomized, comparative-effectiveness studies need to be published. Hospitalists are in a natural position to author those examinations, he says. "One of the roles of a hospitalist can be to be advocates of 'Yes, we think it can be done,' " Dr. Katz says. "Because there are a lot of doctors who want to say, ‘No, it can’t be done.' "
In the Literature: Research You Need to Know
Clinical question: Does the appropriateness of the initial empiric antimicrobial agents started at the onset of septic shock have an impact on outcomes in this clinical syndrome?
Background: Septic shock is a common cause of death among ICU patients. Prompt initiation of appropriate antimicrobial therapy is key to improving outcomes. This study evaluates the effects of initiating inappropriate empiric antimicrobial therapy.
Study design: Retrospective cohort study.
Setting: Twenty-two hospitals in the U.S., Canada, and Saudi Arabia.
Synopsis: Records of more than 5,700 patients with septic shock were reviewed. Appropriate antimicrobial therapy was defined as agents with in vitro activity for the isolated microorganism(s), or if the antimicrobial agents provided adequate empiric coverage for local community and nosocomial flora in culture-negative shock. The main outcome variable was survival to hospital discharge.
The overall survival-to-hospital discharge was 43.7%, and 80.1% of patients received appropriate empiric antimicrobial therapy. Of those who died, 4.8% did not receive appropriate therapy. Inappropriate antimicrobial regimens caused survival to fall to 10.3% from 52.0% (OR 9.45; 95% CI, 7.74 to 11.54; p<0.0001).
After adjusting for potential confounding variables, the inappropriateness of initial antimicrobial therapy remained strongly associated with risk of death (OR 8.99; 95% CI, 6.60 to 12.23; p<0.0001).
The primary weakness of the study is that it was observational.
Bottom line: The choice of an appropriate empiric antimicrobial agent is a critical determinant of survival in patients with septic shock.
Citation: Kumar A, Ellis P, Arabi Y, et al. Initiation of inappropriate antimicrobial therapy results in a fivefold reduction of survival in human septic shock. Chest. 2009;136(5):1237-1248.
Reviewed for TH eWire by Sameer Badlani, MD, Stacy S. Banerjee, MD, Alan J. Jung, MD, Elizabeth Marlow, MD, MPP, Valerie G. Press, MD, MPH, Milda R. Saunders, MD, MPH, Nilam J. Soni, MD, Srilaxmi Tumuluri, MD, Section of Hospital Medicine, University of Chicago
For more reviews of HM-related literature, visit our Web site.
Clinical question: Does the appropriateness of the initial empiric antimicrobial agents started at the onset of septic shock have an impact on outcomes in this clinical syndrome?
Background: Septic shock is a common cause of death among ICU patients. Prompt initiation of appropriate antimicrobial therapy is key to improving outcomes. This study evaluates the effects of initiating inappropriate empiric antimicrobial therapy.
Study design: Retrospective cohort study.
Setting: Twenty-two hospitals in the U.S., Canada, and Saudi Arabia.
Synopsis: Records of more than 5,700 patients with septic shock were reviewed. Appropriate antimicrobial therapy was defined as agents with in vitro activity for the isolated microorganism(s), or if the antimicrobial agents provided adequate empiric coverage for local community and nosocomial flora in culture-negative shock. The main outcome variable was survival to hospital discharge.
The overall survival-to-hospital discharge was 43.7%, and 80.1% of patients received appropriate empiric antimicrobial therapy. Of those who died, 4.8% did not receive appropriate therapy. Inappropriate antimicrobial regimens caused survival to fall to 10.3% from 52.0% (OR 9.45; 95% CI, 7.74 to 11.54; p<0.0001).
After adjusting for potential confounding variables, the inappropriateness of initial antimicrobial therapy remained strongly associated with risk of death (OR 8.99; 95% CI, 6.60 to 12.23; p<0.0001).
The primary weakness of the study is that it was observational.
Bottom line: The choice of an appropriate empiric antimicrobial agent is a critical determinant of survival in patients with septic shock.
Citation: Kumar A, Ellis P, Arabi Y, et al. Initiation of inappropriate antimicrobial therapy results in a fivefold reduction of survival in human septic shock. Chest. 2009;136(5):1237-1248.
Reviewed for TH eWire by Sameer Badlani, MD, Stacy S. Banerjee, MD, Alan J. Jung, MD, Elizabeth Marlow, MD, MPP, Valerie G. Press, MD, MPH, Milda R. Saunders, MD, MPH, Nilam J. Soni, MD, Srilaxmi Tumuluri, MD, Section of Hospital Medicine, University of Chicago
For more reviews of HM-related literature, visit our Web site.
Clinical question: Does the appropriateness of the initial empiric antimicrobial agents started at the onset of septic shock have an impact on outcomes in this clinical syndrome?
Background: Septic shock is a common cause of death among ICU patients. Prompt initiation of appropriate antimicrobial therapy is key to improving outcomes. This study evaluates the effects of initiating inappropriate empiric antimicrobial therapy.
Study design: Retrospective cohort study.
Setting: Twenty-two hospitals in the U.S., Canada, and Saudi Arabia.
Synopsis: Records of more than 5,700 patients with septic shock were reviewed. Appropriate antimicrobial therapy was defined as agents with in vitro activity for the isolated microorganism(s), or if the antimicrobial agents provided adequate empiric coverage for local community and nosocomial flora in culture-negative shock. The main outcome variable was survival to hospital discharge.
The overall survival-to-hospital discharge was 43.7%, and 80.1% of patients received appropriate empiric antimicrobial therapy. Of those who died, 4.8% did not receive appropriate therapy. Inappropriate antimicrobial regimens caused survival to fall to 10.3% from 52.0% (OR 9.45; 95% CI, 7.74 to 11.54; p<0.0001).
After adjusting for potential confounding variables, the inappropriateness of initial antimicrobial therapy remained strongly associated with risk of death (OR 8.99; 95% CI, 6.60 to 12.23; p<0.0001).
The primary weakness of the study is that it was observational.
Bottom line: The choice of an appropriate empiric antimicrobial agent is a critical determinant of survival in patients with septic shock.
Citation: Kumar A, Ellis P, Arabi Y, et al. Initiation of inappropriate antimicrobial therapy results in a fivefold reduction of survival in human septic shock. Chest. 2009;136(5):1237-1248.
Reviewed for TH eWire by Sameer Badlani, MD, Stacy S. Banerjee, MD, Alan J. Jung, MD, Elizabeth Marlow, MD, MPP, Valerie G. Press, MD, MPH, Milda R. Saunders, MD, MPH, Nilam J. Soni, MD, Srilaxmi Tumuluri, MD, Section of Hospital Medicine, University of Chicago
For more reviews of HM-related literature, visit our Web site.
Study: Hospitalists Associated with Higher Costs for UGIH Care
Upper gastrointestinal hemorrhage (UGIH) patients attended by academic hospitalists and nonhospitalists exhibited similar outcomes and length of stay (LOS), but those cared for by the hospitalists required higher costs for care, according to a study published in this month's Journal of Hospital Medicine.
The report,"Do Hospitalists Affect Clinical Outcomes and Efficiency for Patients with Acute Upper Gastrointestinal Hemorrhage (UGIH)?" (2010;5(3):132-138), says "median LOS was similar for hospitalists and non-hospitalists (4 days; P=0.69), but patients cared for by hospitalists had higher median costs ($7,359 vs. $6,181; P
"Our hypothesis going into it was that the presence of a hospitalist may impact the efficiency of the quality of care for this type of condition," says senior author Peter Kaboli, MD, MS, FHM, a hospitalist at the Center for Research in the Implementation of Innovative Strategies in Practice (CRIISP) at the VA Medical Center in Iowa City, Iowa. "But we weren't sure, because this condition is so dependent on subspecialty care that our thought was possibly the need for subspecialists would attenuate that potential hospitalist effect we see in many other studies."
Dr. Kaboli and colleagues could not draw a specific conclusion for why the disparity of costs existed. He suggests that the higher intensity of costs in HM models is one contributing factor, as is the co-management model that eliminates a hospitalist's ability to unilaterally—and more quickly—make decisions that affect care and costs.
Regardless, Dr. Kaboli is hopeful the study spurs more research into why the cost variation exists and encourages HM leaders to review their UGIH care standards.
"Look at lengths of stay. Look at time to endoscopy," Dr. Kaboli says. "Look to see what you can do to improve that efficiency and improve that coordination of care. And, frankly, because so much of what we do is on a DRG-based payment system, we all do better and patients do better if we have highly efficient care."
Upper gastrointestinal hemorrhage (UGIH) patients attended by academic hospitalists and nonhospitalists exhibited similar outcomes and length of stay (LOS), but those cared for by the hospitalists required higher costs for care, according to a study published in this month's Journal of Hospital Medicine.
The report,"Do Hospitalists Affect Clinical Outcomes and Efficiency for Patients with Acute Upper Gastrointestinal Hemorrhage (UGIH)?" (2010;5(3):132-138), says "median LOS was similar for hospitalists and non-hospitalists (4 days; P=0.69), but patients cared for by hospitalists had higher median costs ($7,359 vs. $6,181; P
"Our hypothesis going into it was that the presence of a hospitalist may impact the efficiency of the quality of care for this type of condition," says senior author Peter Kaboli, MD, MS, FHM, a hospitalist at the Center for Research in the Implementation of Innovative Strategies in Practice (CRIISP) at the VA Medical Center in Iowa City, Iowa. "But we weren't sure, because this condition is so dependent on subspecialty care that our thought was possibly the need for subspecialists would attenuate that potential hospitalist effect we see in many other studies."
Dr. Kaboli and colleagues could not draw a specific conclusion for why the disparity of costs existed. He suggests that the higher intensity of costs in HM models is one contributing factor, as is the co-management model that eliminates a hospitalist's ability to unilaterally—and more quickly—make decisions that affect care and costs.
Regardless, Dr. Kaboli is hopeful the study spurs more research into why the cost variation exists and encourages HM leaders to review their UGIH care standards.
"Look at lengths of stay. Look at time to endoscopy," Dr. Kaboli says. "Look to see what you can do to improve that efficiency and improve that coordination of care. And, frankly, because so much of what we do is on a DRG-based payment system, we all do better and patients do better if we have highly efficient care."
Upper gastrointestinal hemorrhage (UGIH) patients attended by academic hospitalists and nonhospitalists exhibited similar outcomes and length of stay (LOS), but those cared for by the hospitalists required higher costs for care, according to a study published in this month's Journal of Hospital Medicine.
The report,"Do Hospitalists Affect Clinical Outcomes and Efficiency for Patients with Acute Upper Gastrointestinal Hemorrhage (UGIH)?" (2010;5(3):132-138), says "median LOS was similar for hospitalists and non-hospitalists (4 days; P=0.69), but patients cared for by hospitalists had higher median costs ($7,359 vs. $6,181; P
"Our hypothesis going into it was that the presence of a hospitalist may impact the efficiency of the quality of care for this type of condition," says senior author Peter Kaboli, MD, MS, FHM, a hospitalist at the Center for Research in the Implementation of Innovative Strategies in Practice (CRIISP) at the VA Medical Center in Iowa City, Iowa. "But we weren't sure, because this condition is so dependent on subspecialty care that our thought was possibly the need for subspecialists would attenuate that potential hospitalist effect we see in many other studies."
Dr. Kaboli and colleagues could not draw a specific conclusion for why the disparity of costs existed. He suggests that the higher intensity of costs in HM models is one contributing factor, as is the co-management model that eliminates a hospitalist's ability to unilaterally—and more quickly—make decisions that affect care and costs.
Regardless, Dr. Kaboli is hopeful the study spurs more research into why the cost variation exists and encourages HM leaders to review their UGIH care standards.
"Look at lengths of stay. Look at time to endoscopy," Dr. Kaboli says. "Look to see what you can do to improve that efficiency and improve that coordination of care. And, frankly, because so much of what we do is on a DRG-based payment system, we all do better and patients do better if we have highly efficient care."
Conventional Wisdom: When New Isn’t Better
Ever wonder whether a new drug is as good as the one you’ve been prescribing for years? Alec B. O'Connor, MD, MPH, wonders all the time. In a commentary published in the March 1 issue of the Journal of the American Medical Association, Dr. O’Connor calls on the FDA to help physicians answer such questions.
Dr. O’Connor, associate medicine residency program director for inpatient services at the University of Rochester Medical Center in Rochester, N.Y., says that as part of the drug-approval process, the FDA should require pharmaceutical companies to submit data comparing the efficacy and safety of a new drug to an established first-line drug.
TH eWire recently asked Dr. O’Connor about his proposal.
Question: What propelled you to write this editorial?
Answer: I’ve observed that physician tendencies and patient tendencies are to try new drugs, regardless of what they were taking before the new drug came out. … When new drugs come to market, they are compared only against placebo and, in reality, that is not a comparison. What I need to see is how the new drug compares to what I’m already using to treat the patient for the same indication. … For all we know, if we stop using the old drug and prescribe the new drug, we may be harming the patient, in addition to increasing drug costs.
Q: Is it possible these requirements could increase drug development costs?
A: [The increase] will likely be quite small because there are so many drug development costs that happen before you get to the trial. I think the bigger risk would just be that they would get to the end of the drug development process and discover they have a drug that can’t be approved because it’s not as good as what we are currently using. … The flip side is that if that happens, then we prevent the drug from coming to market and replacing a current treatment with a drug that was shown to be inferior. I think companies would find that if they get to that point, they can find niches for the drug where it’s added to an existing treatment. They can also determine what patient population the drug makes the most sense for and do a trial that shows it does have a clinical effect that is just as good as what is already out there. So they’ll still have a drug they can sell.
Q: Will the policy incentivize pharmaceutical companies to develop orphan drugs or new classes of drugs?
A: It might. They would see it as a potentially less-risky development. Unfortunately, drug companies have to invest a lot of money in a potential new drug before they get to the Phase III trials where they are comparing them. It’s possible that drug companies might strategize about choosing more orphan indications, where all they would have to do is compare the drug to placebo, because there is no other treatment option.
Ever wonder whether a new drug is as good as the one you’ve been prescribing for years? Alec B. O'Connor, MD, MPH, wonders all the time. In a commentary published in the March 1 issue of the Journal of the American Medical Association, Dr. O’Connor calls on the FDA to help physicians answer such questions.
Dr. O’Connor, associate medicine residency program director for inpatient services at the University of Rochester Medical Center in Rochester, N.Y., says that as part of the drug-approval process, the FDA should require pharmaceutical companies to submit data comparing the efficacy and safety of a new drug to an established first-line drug.
TH eWire recently asked Dr. O’Connor about his proposal.
Question: What propelled you to write this editorial?
Answer: I’ve observed that physician tendencies and patient tendencies are to try new drugs, regardless of what they were taking before the new drug came out. … When new drugs come to market, they are compared only against placebo and, in reality, that is not a comparison. What I need to see is how the new drug compares to what I’m already using to treat the patient for the same indication. … For all we know, if we stop using the old drug and prescribe the new drug, we may be harming the patient, in addition to increasing drug costs.
Q: Is it possible these requirements could increase drug development costs?
A: [The increase] will likely be quite small because there are so many drug development costs that happen before you get to the trial. I think the bigger risk would just be that they would get to the end of the drug development process and discover they have a drug that can’t be approved because it’s not as good as what we are currently using. … The flip side is that if that happens, then we prevent the drug from coming to market and replacing a current treatment with a drug that was shown to be inferior. I think companies would find that if they get to that point, they can find niches for the drug where it’s added to an existing treatment. They can also determine what patient population the drug makes the most sense for and do a trial that shows it does have a clinical effect that is just as good as what is already out there. So they’ll still have a drug they can sell.
Q: Will the policy incentivize pharmaceutical companies to develop orphan drugs or new classes of drugs?
A: It might. They would see it as a potentially less-risky development. Unfortunately, drug companies have to invest a lot of money in a potential new drug before they get to the Phase III trials where they are comparing them. It’s possible that drug companies might strategize about choosing more orphan indications, where all they would have to do is compare the drug to placebo, because there is no other treatment option.
Ever wonder whether a new drug is as good as the one you’ve been prescribing for years? Alec B. O'Connor, MD, MPH, wonders all the time. In a commentary published in the March 1 issue of the Journal of the American Medical Association, Dr. O’Connor calls on the FDA to help physicians answer such questions.
Dr. O’Connor, associate medicine residency program director for inpatient services at the University of Rochester Medical Center in Rochester, N.Y., says that as part of the drug-approval process, the FDA should require pharmaceutical companies to submit data comparing the efficacy and safety of a new drug to an established first-line drug.
TH eWire recently asked Dr. O’Connor about his proposal.
Question: What propelled you to write this editorial?
Answer: I’ve observed that physician tendencies and patient tendencies are to try new drugs, regardless of what they were taking before the new drug came out. … When new drugs come to market, they are compared only against placebo and, in reality, that is not a comparison. What I need to see is how the new drug compares to what I’m already using to treat the patient for the same indication. … For all we know, if we stop using the old drug and prescribe the new drug, we may be harming the patient, in addition to increasing drug costs.
Q: Is it possible these requirements could increase drug development costs?
A: [The increase] will likely be quite small because there are so many drug development costs that happen before you get to the trial. I think the bigger risk would just be that they would get to the end of the drug development process and discover they have a drug that can’t be approved because it’s not as good as what we are currently using. … The flip side is that if that happens, then we prevent the drug from coming to market and replacing a current treatment with a drug that was shown to be inferior. I think companies would find that if they get to that point, they can find niches for the drug where it’s added to an existing treatment. They can also determine what patient population the drug makes the most sense for and do a trial that shows it does have a clinical effect that is just as good as what is already out there. So they’ll still have a drug they can sell.
Q: Will the policy incentivize pharmaceutical companies to develop orphan drugs or new classes of drugs?
A: It might. They would see it as a potentially less-risky development. Unfortunately, drug companies have to invest a lot of money in a potential new drug before they get to the Phase III trials where they are comparing them. It’s possible that drug companies might strategize about choosing more orphan indications, where all they would have to do is compare the drug to placebo, because there is no other treatment option.
ODAC votes against one leukemia, one NHL drug
The Oncologic Drugs Advisory Committee (ODAC) recommended yesterday against approval of pixantrone for the treatment of recurrent or refractory aggressive non-Hodgkin’s lymphoma (NHL).
ODAC voted unanimously against the approval of pixantrone, saying that the drug did not demonstrate a statistically significant improvement over the control arm. The complete response rate was 20.0% with pixantrone and 5.7% with the comparator therapies.
ODAC also expressed concern that the phase 3 trial was stopped early at 44% of planned enrollment due to poor accrual. And only 8 of the 70 patients enrolled were US patients, raising concern about whether the results held true for the US population.
Pixantrone dimaleate, an aza-anthracenedione, is developed by the Seattle-based Cell Therapeutics, Inc.
ODAC also considered the application of Australian drug maker ChemGenex Pharmaceuticals for omacetaxine mepesuccinate. In a 7-1 decision, ODAC recommended a single genetic test be developed and approved prior to consideration of omacetaxine for the treatment of adults with chronic myeloid leukemia with the Bcr-Abl T3151 mutation.
The drug maker used 2 different tests to identify patients with the mutation. In addition, 23 of 66 patients did not have central laboratory confirmation of the mutation. ODAC was concerned that the comparability of the tests was unknown.
The applicant had submitted data on efficacy and safety prior to completing the planned enrollment of 100 patients, which meant that data from approximately a third of the planned population were missing at the time of consideration.
The US Food and Drug Administration usually follows the recommendations of ODAC.
The Oncologic Drugs Advisory Committee (ODAC) recommended yesterday against approval of pixantrone for the treatment of recurrent or refractory aggressive non-Hodgkin’s lymphoma (NHL).
ODAC voted unanimously against the approval of pixantrone, saying that the drug did not demonstrate a statistically significant improvement over the control arm. The complete response rate was 20.0% with pixantrone and 5.7% with the comparator therapies.
ODAC also expressed concern that the phase 3 trial was stopped early at 44% of planned enrollment due to poor accrual. And only 8 of the 70 patients enrolled were US patients, raising concern about whether the results held true for the US population.
Pixantrone dimaleate, an aza-anthracenedione, is developed by the Seattle-based Cell Therapeutics, Inc.
ODAC also considered the application of Australian drug maker ChemGenex Pharmaceuticals for omacetaxine mepesuccinate. In a 7-1 decision, ODAC recommended a single genetic test be developed and approved prior to consideration of omacetaxine for the treatment of adults with chronic myeloid leukemia with the Bcr-Abl T3151 mutation.
The drug maker used 2 different tests to identify patients with the mutation. In addition, 23 of 66 patients did not have central laboratory confirmation of the mutation. ODAC was concerned that the comparability of the tests was unknown.
The applicant had submitted data on efficacy and safety prior to completing the planned enrollment of 100 patients, which meant that data from approximately a third of the planned population were missing at the time of consideration.
The US Food and Drug Administration usually follows the recommendations of ODAC.
The Oncologic Drugs Advisory Committee (ODAC) recommended yesterday against approval of pixantrone for the treatment of recurrent or refractory aggressive non-Hodgkin’s lymphoma (NHL).
ODAC voted unanimously against the approval of pixantrone, saying that the drug did not demonstrate a statistically significant improvement over the control arm. The complete response rate was 20.0% with pixantrone and 5.7% with the comparator therapies.
ODAC also expressed concern that the phase 3 trial was stopped early at 44% of planned enrollment due to poor accrual. And only 8 of the 70 patients enrolled were US patients, raising concern about whether the results held true for the US population.
Pixantrone dimaleate, an aza-anthracenedione, is developed by the Seattle-based Cell Therapeutics, Inc.
ODAC also considered the application of Australian drug maker ChemGenex Pharmaceuticals for omacetaxine mepesuccinate. In a 7-1 decision, ODAC recommended a single genetic test be developed and approved prior to consideration of omacetaxine for the treatment of adults with chronic myeloid leukemia with the Bcr-Abl T3151 mutation.
The drug maker used 2 different tests to identify patients with the mutation. In addition, 23 of 66 patients did not have central laboratory confirmation of the mutation. ODAC was concerned that the comparability of the tests was unknown.
The applicant had submitted data on efficacy and safety prior to completing the planned enrollment of 100 patients, which meant that data from approximately a third of the planned population were missing at the time of consideration.
The US Food and Drug Administration usually follows the recommendations of ODAC.
HM10 Will Focus on Healthcare's Future
A national summit on the future of healthcare will take center stage in Washington, D.C., next month—but Congress won't be involved in this discussion. SHM's 13th annual meeting is April 8-11 at the Gaylord National Harbor Resort & Convention Center in National Harbor, Md. The four-day event is expected to draw more than 2,300 hospitalists.
"It's pretty exciting that we're coming to Washington this year with all the activity in healthcare reform," says Larry Wellikson, MD, FHM, CEO of SHM.
SHM leaders say HM10 will offer new features, including:
- Induction of the first classes of Senior Fellows in Hospital Medicine (SFHM) and Master in Hospital Medicine (MHM);
- Two new pre-courses slated for April 8: "Essential Neurology for the Hospitalist" and "Early Career Hospitalist: Skills for Success";
- An expanded research and innovation platform that will include visiting professor Mark Zeidel, MD, chair of the Department of Medicine at Beth Israel Deaconess Medical Center in Boston;
- A limited-seating workshop track; and
- A keynote address from Paul Levy, president and CEO of Beth Israel in Boston and a respected commentator in the arena of healthcare QI and patient safety. The speech is titled "The Hospitalist's Role in the Hospital of the Future."
SHM leaders say that despite the economic downturn, attendance at this year's conference is expected to significantly exceed the record crowd that trekked to Chicago last spring. "Even though there are travel-budget cuts and education-budget cuts, the one meeting that hospitalists continue to go to is SHM's annual conference," says Geri Barnes, SHM senior director of education and meetings. “That’s where they get their education and are able to network at the largest gathering of hospitalists every year."
Visit www.the-hospitalist.org for extensive meeting coverage.
A national summit on the future of healthcare will take center stage in Washington, D.C., next month—but Congress won't be involved in this discussion. SHM's 13th annual meeting is April 8-11 at the Gaylord National Harbor Resort & Convention Center in National Harbor, Md. The four-day event is expected to draw more than 2,300 hospitalists.
"It's pretty exciting that we're coming to Washington this year with all the activity in healthcare reform," says Larry Wellikson, MD, FHM, CEO of SHM.
SHM leaders say HM10 will offer new features, including:
- Induction of the first classes of Senior Fellows in Hospital Medicine (SFHM) and Master in Hospital Medicine (MHM);
- Two new pre-courses slated for April 8: "Essential Neurology for the Hospitalist" and "Early Career Hospitalist: Skills for Success";
- An expanded research and innovation platform that will include visiting professor Mark Zeidel, MD, chair of the Department of Medicine at Beth Israel Deaconess Medical Center in Boston;
- A limited-seating workshop track; and
- A keynote address from Paul Levy, president and CEO of Beth Israel in Boston and a respected commentator in the arena of healthcare QI and patient safety. The speech is titled "The Hospitalist's Role in the Hospital of the Future."
SHM leaders say that despite the economic downturn, attendance at this year's conference is expected to significantly exceed the record crowd that trekked to Chicago last spring. "Even though there are travel-budget cuts and education-budget cuts, the one meeting that hospitalists continue to go to is SHM's annual conference," says Geri Barnes, SHM senior director of education and meetings. “That’s where they get their education and are able to network at the largest gathering of hospitalists every year."
Visit www.the-hospitalist.org for extensive meeting coverage.
A national summit on the future of healthcare will take center stage in Washington, D.C., next month—but Congress won't be involved in this discussion. SHM's 13th annual meeting is April 8-11 at the Gaylord National Harbor Resort & Convention Center in National Harbor, Md. The four-day event is expected to draw more than 2,300 hospitalists.
"It's pretty exciting that we're coming to Washington this year with all the activity in healthcare reform," says Larry Wellikson, MD, FHM, CEO of SHM.
SHM leaders say HM10 will offer new features, including:
- Induction of the first classes of Senior Fellows in Hospital Medicine (SFHM) and Master in Hospital Medicine (MHM);
- Two new pre-courses slated for April 8: "Essential Neurology for the Hospitalist" and "Early Career Hospitalist: Skills for Success";
- An expanded research and innovation platform that will include visiting professor Mark Zeidel, MD, chair of the Department of Medicine at Beth Israel Deaconess Medical Center in Boston;
- A limited-seating workshop track; and
- A keynote address from Paul Levy, president and CEO of Beth Israel in Boston and a respected commentator in the arena of healthcare QI and patient safety. The speech is titled "The Hospitalist's Role in the Hospital of the Future."
SHM leaders say that despite the economic downturn, attendance at this year's conference is expected to significantly exceed the record crowd that trekked to Chicago last spring. "Even though there are travel-budget cuts and education-budget cuts, the one meeting that hospitalists continue to go to is SHM's annual conference," says Geri Barnes, SHM senior director of education and meetings. “That’s where they get their education and are able to network at the largest gathering of hospitalists every year."
Visit www.the-hospitalist.org for extensive meeting coverage.
In the Literature: The Latest Research You Need to Know
Clinical question: Do certain patient characteristics predict increased risk for mechanical ventilation or death among patients with acute exacerbations of chronic obstructive pulmonary disease (COPD)?
Background: Hospitalizations for acute COPD exacerbations are costly and impair quality of life. A validated tool has not been developed to help physicians risk-stratify and predict outcomes for patients presenting with acute exacerbations of COPD.
Study design: Retrospective cohort.
Setting: 191 U.S. hospitals, of which 41% were academic hospitals and 76% were urban hospitals.
Synopsis: Researchers used the Cardinal Health Clinical Outcomes Research Database to analyze the hospital admissions of 88,074 patients aged 40 years and older with acute exacerbations of COPD. The research team identified risk factors that predicted in-hospital mortality (primary endpoint) and the need for mechanical ventilation (secondary endpoint).
The main risk factors were a BUN level higher than 25 mg/dL, altered mental status, and pulse >109/minute. Patients <65 were found to be at lowest risk. Patients age <65 without any of the three main risk factors had a mortality rate of 0.3%, while patients with all three main risk factors had a mortality rate of 13.8%.
Similarly, patients with two or three primary risk characteristics were more likely to undergo mechanical ventilation. Researchers proposed a risk score known as BAP-65 (BUN, altered mental status, pulse, and age), and patients were placed into risk classes 1 through 5 based on their risk factors.
Bottom line: The BAP-65 score might be useful to predict the risk of death or need for mechanical ventilation in COPD patients with acute exacerbation.
Citation: Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score. Arch Intern Med. 2009;169(17):1595-1602.
Reviewed for TH eWire by Anneliese M. Schleyer, MD, MHA, Mark C. Zaros, MD, Angelena Labella, MD, Heather L. Davidson, MD, Reena K. Julka, MD, Anna S. Loge, MD, and Paul R. Sutton, MD, PhD, University of Washington Medicine Hospital and Consultative Medicine Program, Seattle
For more HM-related literature reviews, visit our Web site.
Clinical question: Do certain patient characteristics predict increased risk for mechanical ventilation or death among patients with acute exacerbations of chronic obstructive pulmonary disease (COPD)?
Background: Hospitalizations for acute COPD exacerbations are costly and impair quality of life. A validated tool has not been developed to help physicians risk-stratify and predict outcomes for patients presenting with acute exacerbations of COPD.
Study design: Retrospective cohort.
Setting: 191 U.S. hospitals, of which 41% were academic hospitals and 76% were urban hospitals.
Synopsis: Researchers used the Cardinal Health Clinical Outcomes Research Database to analyze the hospital admissions of 88,074 patients aged 40 years and older with acute exacerbations of COPD. The research team identified risk factors that predicted in-hospital mortality (primary endpoint) and the need for mechanical ventilation (secondary endpoint).
The main risk factors were a BUN level higher than 25 mg/dL, altered mental status, and pulse >109/minute. Patients <65 were found to be at lowest risk. Patients age <65 without any of the three main risk factors had a mortality rate of 0.3%, while patients with all three main risk factors had a mortality rate of 13.8%.
Similarly, patients with two or three primary risk characteristics were more likely to undergo mechanical ventilation. Researchers proposed a risk score known as BAP-65 (BUN, altered mental status, pulse, and age), and patients were placed into risk classes 1 through 5 based on their risk factors.
Bottom line: The BAP-65 score might be useful to predict the risk of death or need for mechanical ventilation in COPD patients with acute exacerbation.
Citation: Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score. Arch Intern Med. 2009;169(17):1595-1602.
Reviewed for TH eWire by Anneliese M. Schleyer, MD, MHA, Mark C. Zaros, MD, Angelena Labella, MD, Heather L. Davidson, MD, Reena K. Julka, MD, Anna S. Loge, MD, and Paul R. Sutton, MD, PhD, University of Washington Medicine Hospital and Consultative Medicine Program, Seattle
For more HM-related literature reviews, visit our Web site.
Clinical question: Do certain patient characteristics predict increased risk for mechanical ventilation or death among patients with acute exacerbations of chronic obstructive pulmonary disease (COPD)?
Background: Hospitalizations for acute COPD exacerbations are costly and impair quality of life. A validated tool has not been developed to help physicians risk-stratify and predict outcomes for patients presenting with acute exacerbations of COPD.
Study design: Retrospective cohort.
Setting: 191 U.S. hospitals, of which 41% were academic hospitals and 76% were urban hospitals.
Synopsis: Researchers used the Cardinal Health Clinical Outcomes Research Database to analyze the hospital admissions of 88,074 patients aged 40 years and older with acute exacerbations of COPD. The research team identified risk factors that predicted in-hospital mortality (primary endpoint) and the need for mechanical ventilation (secondary endpoint).
The main risk factors were a BUN level higher than 25 mg/dL, altered mental status, and pulse >109/minute. Patients <65 were found to be at lowest risk. Patients age <65 without any of the three main risk factors had a mortality rate of 0.3%, while patients with all three main risk factors had a mortality rate of 13.8%.
Similarly, patients with two or three primary risk characteristics were more likely to undergo mechanical ventilation. Researchers proposed a risk score known as BAP-65 (BUN, altered mental status, pulse, and age), and patients were placed into risk classes 1 through 5 based on their risk factors.
Bottom line: The BAP-65 score might be useful to predict the risk of death or need for mechanical ventilation in COPD patients with acute exacerbation.
Citation: Tabak YP, Sun X, Johannes RS, Gupta V, Shorr AF. Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease: development and validation of a simple risk score. Arch Intern Med. 2009;169(17):1595-1602.
Reviewed for TH eWire by Anneliese M. Schleyer, MD, MHA, Mark C. Zaros, MD, Angelena Labella, MD, Heather L. Davidson, MD, Reena K. Julka, MD, Anna S. Loge, MD, and Paul R. Sutton, MD, PhD, University of Washington Medicine Hospital and Consultative Medicine Program, Seattle
For more HM-related literature reviews, visit our Web site.
BEST PRACTICES IN: Approaches to Pruritus
A supplement to Skin & Allergy News. This supplement was supported by Ferndale Laboratories Inc.
• Impact of Pruritus on Quality of Life
• Screening for Psychogenic Causes
• Palpation
• Medication History
• Xerosis (dry skin)
• Cutaneous Infestations
• Systemic Diseases
• Malignancy
• Neuropathic Pruritus
• Atypical Causes
• Diagnostic Workup
• Managing Pruritus
• Summary
Faculty/Faculty Disclosure
Joseph B. Bikowski, MD
Clinical Assistant Professor
Dermatology
Ohio State University
Columbus, OH
Director
Bikowski Skin Care Center
Sewickley, PA
Dr. Bikowski has received honoraria from Allergan, Inc., Coria Laboratories, Ltd., Galderma Laboratories, L.P., Intendis GmbH, Medicis Pharmaceutical Corporation, OrthoDermatologics, Quinnova Pharmaceuticals, Inc., Stiefel Laboratories, Inc., and Warner Chilcott; served on advisory boards for Coria, Galderma, Intendis, Ranbaxy Pharmaceuticals Inc., Stiefel, and Warner Chilcott; has been a speaker for Allergan, Coria, Galderma, Intendis, Promius Pharma, LLC, Ranbaxy, and Stiefel; has a consulting agreement with Allergan, Coria, Galderma, Intendis, Medicis, Promius, OrthoDermatologics, and Stiefel; and is a stockholder for Quinnova.
A supplement to Skin & Allergy News. This supplement was supported by Ferndale Laboratories Inc.
• Impact of Pruritus on Quality of Life
• Screening for Psychogenic Causes
• Palpation
• Medication History
• Xerosis (dry skin)
• Cutaneous Infestations
• Systemic Diseases
• Malignancy
• Neuropathic Pruritus
• Atypical Causes
• Diagnostic Workup
• Managing Pruritus
• Summary
Faculty/Faculty Disclosure
Joseph B. Bikowski, MD
Clinical Assistant Professor
Dermatology
Ohio State University
Columbus, OH
Director
Bikowski Skin Care Center
Sewickley, PA
Dr. Bikowski has received honoraria from Allergan, Inc., Coria Laboratories, Ltd., Galderma Laboratories, L.P., Intendis GmbH, Medicis Pharmaceutical Corporation, OrthoDermatologics, Quinnova Pharmaceuticals, Inc., Stiefel Laboratories, Inc., and Warner Chilcott; served on advisory boards for Coria, Galderma, Intendis, Ranbaxy Pharmaceuticals Inc., Stiefel, and Warner Chilcott; has been a speaker for Allergan, Coria, Galderma, Intendis, Promius Pharma, LLC, Ranbaxy, and Stiefel; has a consulting agreement with Allergan, Coria, Galderma, Intendis, Medicis, Promius, OrthoDermatologics, and Stiefel; and is a stockholder for Quinnova.
A supplement to Skin & Allergy News. This supplement was supported by Ferndale Laboratories Inc.
• Impact of Pruritus on Quality of Life
• Screening for Psychogenic Causes
• Palpation
• Medication History
• Xerosis (dry skin)
• Cutaneous Infestations
• Systemic Diseases
• Malignancy
• Neuropathic Pruritus
• Atypical Causes
• Diagnostic Workup
• Managing Pruritus
• Summary
Faculty/Faculty Disclosure
Joseph B. Bikowski, MD
Clinical Assistant Professor
Dermatology
Ohio State University
Columbus, OH
Director
Bikowski Skin Care Center
Sewickley, PA
Dr. Bikowski has received honoraria from Allergan, Inc., Coria Laboratories, Ltd., Galderma Laboratories, L.P., Intendis GmbH, Medicis Pharmaceutical Corporation, OrthoDermatologics, Quinnova Pharmaceuticals, Inc., Stiefel Laboratories, Inc., and Warner Chilcott; served on advisory boards for Coria, Galderma, Intendis, Ranbaxy Pharmaceuticals Inc., Stiefel, and Warner Chilcott; has been a speaker for Allergan, Coria, Galderma, Intendis, Promius Pharma, LLC, Ranbaxy, and Stiefel; has a consulting agreement with Allergan, Coria, Galderma, Intendis, Medicis, Promius, OrthoDermatologics, and Stiefel; and is a stockholder for Quinnova.
Congenital Anomalies in Infant HSV
Herpes simplex virus (HSV) is a significant cause of pediatric hospitalization, morbidity and mortality, particularly in infants under 60 days of age, where HSV can present as meningoencephalitis, skin disease, or sepsis.14 Most prior studies use data from registries taken from single centers or a restricted group of hospitals. Thus, there is a paucity of recent, nationally‐representative information about the outcome of infants infected with HSV, especially those treated at nonteaching hospitals or with rarer comorbid conditions. The goal of this project was to determine the patient and hospital characteristics associated with worse clinical outcomes in infants under the age of 60 days admitted with HSV disease. We hypothesized that younger infants, infants with a concurrent congenital anomaly, and infants treated at non‐children's hospitals would have worse clinical outcomes. To answer these questions, we used 2003 panel data from the Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID), a nationally representative sample of inpatient hospitalizations in the United States.
Methods
Study Population and Data Collection
We conducted a retrospective population cohort study of all infants admitted at 60 days of age who were discharged with a diagnosis of HSV disease between January 1, 2003 and December 31, 2003, using the 2003 KID. The KID is a collaborative project between the Agency for Healthcare Research and Quality AHRQ and 36 states, which includes approximately 2.9 million pediatric discharge records from 3438 hospitals.5 The KID is the only national, all‐payer database of pediatric hospitalizations in the United States.
Patient Eligibility
As in prior studies,611 children were eligible for this project if they were discharged with an International Classification of Disease, ninth edition, Clinical Modification (ICD‐9CM) discharge code of 054.xx (herpes simplex virus), where xx represented any combination of one or two‐digit codes, or 771.2 (neonatal viral infection including HSV). However, the 771.2 code may also contain other perinatal infections of relatively rare frequency, such as toxoplasmosis. Thus, we also performed the same set of analyses on the cohort of children who had an 054.xx code alone. No results presented in this study changed in statistical significance when this smaller cohort of infants was examined.
Data Variables and Outcomes
Outcome Variables
We examined 2 primary clinical outcomes in this study: in‐hospital death and the occurrence of a serious complication. Complications were identified using ICD‐9CM codes from both prior work12 and examination of all diagnosis and procedure codes for eligible infants by the 2 principal investigators (Appendix). These 2 reviewers had to independently agree on the inclusion of an ICD‐9CM code as a complication. In‐hospital deaths were captured through a disposition code of 20 in the KID dataset. Length of stay (LOS) and in‐hospital costs were examined as secondary outcome measures for specific risk factors of interest.
Demographic and Comorbidity Variables
Demographic and comorbidity variables were included in the analyses to control for the increased cost, LOS, or risk of a complication that result from these factors.1315 Demographic information available in the KID included gender, age at admission, race, low birth weight infants, and insurance status. Age at admission was grouped into 4 categories: 07 days, 814 days, 1528 days, and 2960 days. Infants were classified as low birth weight if they had an ICD‐9CM code for a birth weight <2000 g (ICD‐9CM codes 765.01‐07, 765.11‐17, or 765.21‐27). We used the ICD‐9CM codes shown in the Appendix to classify various comorbid conditions. Because of the young age of the cohort, all comorbid conditions consisted of congenital anomalies that were grouped according to the involved organ system. To help classify patients by their illness severity, we used the All‐Patient Refined Diagnosis‐Related Group (APR‐DRG) severity of illness classification for each hospital admission (3M Corporation, St. Paul, MN). The APR‐DRG classification system used discharge diagnoses, procedures, and demographic information to assign patients to 4 severity of illness categories.
Hospital Characteristics
We identified the following hospital characteristics from the KID: total bed size, divided as small, medium, and large; hospital status (children's hospital vs. non‐children's hospital, teaching hospital vs. nonteaching hospital); source of admission (emergency department, clinic, other hospitals); and location (rural vs. urban). Children's hospitals were identified by the AHRQ using information from the National Association of Children's Hospitals and Related Institutions, while teaching hospital status was determined by the presence of an approved residency program and a ratio of full‐time residents to beds of 0.25 or greater.5
Statistical Analysis
All analyses accounted for the complex sampling design with the survey commands included in STATA 9.2 (Statacorp, College Station, TX) and report national estimates from the data available in the 36 surveyed states. Because of the complex sampling design, the Wald test was used to determine significant differences for each outcome in univariable analysis. Variance estimates were reported as standard errors of the mean. We constructed multivariable logistic regression models to assess the adjusted impact of patient and hospital‐level characteristics on each primary outcome measure; ie, in‐hospital death and development of a serious complication. Negative binomial models were used for our secondary outcomes, LOS and costs, because of their rightward skew. Variance estimates for each model accounted for the clustering of data at the hospital level, and data were analyzed as per the latest AHRQ statistical update.16
Results
The 2003 KID identified 1587 hospitalizations for HSV in infants admitted at an age of 60 days or less in the entire United States. These infants had a total hospital cost of $27,147,000. Of the cohort, 10% had a concurrent congenital anomaly. Most infants (73.5%) were admitted within 14 days of birth, and 15.5% were transferred from another hospital. Based on APR‐DRG criteria, 33% of the infants were classified as having a moderate risk of death, 24% as major risk, and 12.2% as extreme risk. The majority of infants were treated at non‐children's hospitals (85.3%) in urban locations (91.5%). The average LOS was 12.0 0.6 days and the average total hospital cost was $17,382 1269. After admission, 267 of the infants, or 16.8%, had at least 1 serious complication. Fifty infants died during the hospitalization included in the KID.
Risk Factor Analysis
Serious Complications
Univariable (Table 1) analysis identified several factors associated with higher rates of serious complications. Younger age at admission was associated with a higher risk of serious complications. This trend was greatest for infants admitted under 14 days of age, of which 20.2% had a serious complication, compared with 10.2% of the infants admitted between 29 and 60 days of age. Infants with any identified congenital anomaly had significantly higher rates of serious complication (41.1% vs. 14.8% for infants without a congenital anomaly). Similar findings were seen with low birth weight infants. Infants who were transferred prior to the hospitalization captured in the KID had a higher complication rate (38.7%) than infants admitted as a routine admission (15.9%) or via the emergency room (8.8%). Among hospital‐level factors, infants admitted to children's or teaching hospitals had higher rates of serious complications, although only the difference between teaching and nonteaching hospitals reached statistical significance (Table 1).
| Patient‐Level Factors | % of Cohort | % with Serious Complication | % Death |
|---|---|---|---|
| |||
| Age at presentation | |||
| 7 days | 58.4 | 21.6* | 4.2* |
| 814 days | 15.1 | 15.8 | 3.6 |
| 1528 days | 16.4 | 9.7 | 2.1 |
| 2960 days | 10.1 | 10.2 | 0 |
| Low birth weight | |||
| Yes | 10.6 | 44.2* | 9.0* |
| No | 89.4 | 14.3 | 2.7 |
| Type of insurance | |||
| Private | 47.4 | 15.6 | 2.1* |
| Medicaid | 49.0 | 19.2 | 4.8 |
| Self pay | 3.6 | 17.0 | 0 |
| Race | |||
| White | 52.8 | 17.7 | 3.5 |
| Black | 18.9 | 17.6 | 4.2 |
| Other | 28.3 | 19.2 | 4.5 |
| Gender | |||
| Female | 45.4 | 15.7 | 2.2 |
| Male | 54.6 | 18.9 | 4.3 |
| Any congenital anomaly | |||
| Yes | 10.0 | 41.1* | 10.4* |
| No | 90.0 | 14.8 | 2.6 |
| Admission type | |||
| Routine | 62.3 | 15.9* | 2.8* |
| Emergency room | 22.2 | 8.8 | 1.1 |
| Transfer from another hospital | 15.5 | 38.7 | 9.6 |
| APR‐DRG risk | |||
| Mild | 3.0 | 0.3* | 0* |
| Moderate | 33.0 | 2.0 | 0.5 |
| Major | 24.0 | 24.7 | 2.3 |
| Extreme | 12.2 | 85.0 | 20.8 |
| Hospital‐level factors | |||
| Children's hospital | |||
| Yes | 14.7 | 27.0 | 6.4 |
| No | 85.3 | 16.3 | 3.1 |
| Teaching hospital | |||
| Yes | 68.4 | 21.3* | 4.3* |
| No | 31.7 | 8.5 | 1.5 |
| Location | |||
| Urban | 91.5 | 18.0* | 3.6 |
| Rural | 8.5 | 9.0 | 1.6 |
| Hospital size | |||
| Small | 14.1 | 19.3 | 4.2 |
| Medium | 25.9 | 14.3 | 3.2 |
| Large | 60.0 | 18.1 | 3.3 |
Many of these factors were independently associated with increased complication rates in multivariable analysis (Table 2). Infants under 7 days of age on admission (odds ratio [OR], 2.68; 95% confidence interval [CI], 1.112.47), low birth weight (OR, 5.17; 95% CI, 2.988.98), and the concurrent presence of a congenital anomaly (OR, 3.09; 95% CI, 1.805.33) were associated with higher odds of a serious complication. Site of care lost its statistical significance once our models adjusted for differences in illness severity. Insurance status, gender, and race were not associated with a change in complication rates for these infants.
| Risk Factor | Serious Complication | Mortality | ||
|---|---|---|---|---|
| Odds Ratio | 95% CI | Odds Ratio | 95% CI | |
| ||||
| Age at admission | ||||
| 7 days | 2.68 | 1.112.47 | 1.63 | 0.347.73 |
| 814 days | 1.22 | 0.403.73 | 2.15 | 0.3612.9 |
| 1428 days | 0.87 | 0.322.37 | Reference* | |
| 2960 days | Reference | |||
| Racial/ethnic status | ||||
| White | Reference | Reference | ||
| Black | 0.90 | 0.451.82 | 1.30 | 0.433.89 |
| Other | 0.99 | 0.571.70 | 1.19 | 0.482.99 |
| Treatment at children's hospital | 2.33 | 0.836.18 | 2.59 | 0.6510.2 |
| Treatment at teaching hospital | 1.71 | 0.943.12 | 1.86 | 0.566.25 |
| Female gender | 0.96 | 0.631.48 | 0.28 | 0.100.82 |
| Medicaid insurance | 1.51 | 0.912.50 | 1.69 | 0.634.53 |
| Transferred from another hospital | 3.76 | 2.036.98 | 3.47 | 1.428.46 |
| Transferred to another hospital | 1.35 | 0.672.73 | ||
| Presence of a congenital anomaly | 3.09 | 1.805.33 | 4.26 | 1.7610.3 |
| Low birth weight infant | 5.17 | 2.988.98 | 5.33 | 1.9015.0 |
Death
Risk factors for higher mortality rates followed similar trends as those for the risk of a serious complication. Younger age at admission, low birth weight status, the presence of a serious complication, admission from another hospital, and treatment at a children's hospital or teaching hospital were all associated with higher mortality rates. In multivariable analysis, the concurrent presence of a congenital anomaly was associated with higher odds of death (OR, 4.26; 95% CI, 1.7610.3). The cause of increased death in infants with congenital anomalies appeared to be a higher rate of serious complications, as including serious complications in the multivariable regression model resulted in the association between congenital anomalies and death losing statistical significance (OR in revised model 1.95; 95% CI, 0.636.05). Site of care again was not associated with differences in mortality after controlling for patient case‐mix.
Concurrent Congenital Anomalies
Based on the higher complication and mortality rates seen in infants with HSV who had a concurrent congenital anomaly, we then investigated how the presence of specific congenital anomalies influenced clinical outcomes, LOS, and total hospital costs with HSV disease. Using the congenital anomaly groups listed in the Appendix, we found that congenital heart disease, central nervous system anomalies, pulmonary anomalies, and gastrointestinal anomalies were each associated with either higher rates of serious complications, longer LOS, or higher total hospital costs compared to infants without congenital anomalies (Table 3). Serious complications occurred most commonly in patients with central nervous system anomalies (55.6%) and congenital heart disease (50.8%), while infants with pulmonary anomalies had the longest LOS (37.1 10.0 days) and highest total hospital costs of all anomaly categories. The types of complications differed by the anomaly group: infants with cardiac and pulmonary anomalies had the highest rates of respiratory complications (45% and 40%, respectively), whereas those with central nervous system anomalies had the highest rates of cardiac complications (51%). Each anomaly class had a similar rate of neurological complications, between 30% and 40%.
| Number* | % With Serious Complication | LOS (days) | Total Hospital Costs (2003 dollars) | |
|---|---|---|---|---|
| ||||
| No congenital anomaly | 1391 | 14.8 | 11.3 0.6 | 15,118 1158 |
| Type of congenital anomaly | ||||
| Congenital heart disease | 73 | 50.8 | 23.5 4.6 | 46,760 9340 |
| Central nervous system anomaly | 31 | 55.6 | 15.4 3.0 | 23,962 5037 |
| Head/neck anomaly | 13 | 40.6 | 11.1 4.6 | 14,132 7860 |
| Pulmonary anomaly | 13 | 34.1 | 37.1 10.0 | 67,234 21,002 |
| Gastrointestinal anomaly | 20 | 33.5 | 21.6 4.9 | 41,207 13,878 |
| Genitourinary anomaly | 19 | 24.1 | 11.0 2.5 | 10,906 1890 |
| Musculoskeletal anomaly | ||||
| Genetic anomaly | 18 | 10.2 | 12.2 2.4 | 15,990 3808 |
Site of Care
Finally, we examined the LOS and costs of receiving care at a children's hospital. The data shown in Tables 1 and 2 suggest that receiving treatment at a children's hospital does not result in improved clinical outcomes for infants admitted with HSV. One potential advantage, though, is improved efficiency of care, which would result in a shorter LOS or lower costs. Using negative binomial multivariable regression models to account for differences in patient characteristics, regional variation, and insurance status, treatment at a children's hospital was associated with an 18% shorter LOS (95% CI, 1%34%) compared to non‐children's hospitals after accounting for the generally sicker infants treated at children's hospitals. Children's hospitals, though, were more expensive than non‐children's hospitals (increase of $642 per day; 95% CI, $2321052). These results remained consistent when we omitted transferred patients from the model, instead of controlling for them in the analysis.
Conclusions
There has been little prior information to guide practitioners and parents about factors that potentially influence clinical outcome of infants hospitalized with HSV in non‐children's hospitals, although over 80% of infants are managed at non‐children's hospitals. These studies also did not have the power to characterize the risk of poor clinical outcome associated with rarer clinical factors.1, 2, 6 This study, using nationally representative data, found that these rarer clinical factors and site of care may influence the outcomes of infants hospitalized with HSV, albeit in different methods. Younger age at admission and a coexisting congenital anomaly remained statistically significant predictors of worse clinical outcomes after controlling for various patient and hospital factors. Not all congenital anomalies increased the risk of death or serious complications; rather, anomalies that affected either the cardiopulmonary system or the central nervous system appeared to result in the highest increases in risk. This study also found that treatment of infants with HSV at a children's hospital was associated with a 28% shorter LOS after accounting for the sicker patients cared for by children's hospitals. This finding is in contrast to prior studies of common pediatric conditions, where there were no differences in the LOS between children's and non‐children's hospitals,17, 18 and severe sepsis, where children's hospitals had longer LOSs.19 These results confirm the importance of specific risk factors in predicting the likelihood that an infant admitted with HSV may have a poor clinical outcome. Also, these results emphasize the differences in outcomes that may occur at different types of hospitals.
This study is the first to find that certain congenital anomalies or conditions may be associated with worse clinical outcomes from HSV. There is little information in the literature to explain these findings. Those anomalies that affect the cardiopulmonary or central nervous system may either worsen the symptoms of HSV or predispose infants to have a serious complication, such as shock or respiratory failure. This finding would be similar to the increased risk of serious complications seen in infants with congenital heart disease who contract respiratory syncytial virus20 or infants with genetic syndromes who undergo heart surgery.21 Alternatively, because we do not have information on do‐not‐resuscitate status, the presence of one of these congenital anomalies may result in more withdrawal of care when an infant is infected with HSV and has a serious complication; the LOS of these children may not reflect these decisions because the decision to withdrawal care may only occur after the child's condition worsens significantly, which may happen any time during the disease course. However, this theory is less likely because we failed to find similar results with other congenital anomalies such as genetic or chromosomal syndromes. Further examination of these infants and their overall response to insults such as HSV is needed to understand how these anomalies influence the outcomes of a serious, unrelated illness.
Age upon admission was another important predictor of poor outcomes when analyzed in univariable or multivariable analysis. This result is consistent with prior work,14 which suggests that younger children are more likely to be hospitalized with either congenitally acquired HSV or systemic disease. The information contained in the KID does not allow us to determine whether young age is a risk factor for poor outcome irrespective of the clinical presentation of HSV, or whether age serves as a proxy for the appearance of more severe clinical disease. This effect of age remained present even after controlling for the higher risk of a serious complication and death in low birth weight infants. There are limited data that suggest that premature birth is an independent risk factor for worse outcomes associated with perinatal or congenital infection; 1 previous case study of Enterobacter sakazakii infections found a higher fatality rate for premature infants compared to term infants.22 This study supports these findings.
This study found that treatment at a children's hospital resulted in a 28% shorter LOS without a statistically significant difference in clinical outcomes after controlling for case‐mix differences. This finding is in contrast to prior studies of common pediatric conditions17, 18 and severe sepsis.19 There are several potential explanations for the difference in findings. For common pediatric conditions, there may be fewer variations in treatment style and less need for new diagnostic modalities that are more available at academic centers. For HSV disease, though, children's hospitals may also be more likely than non‐children's hospitals to perform polymerase‐chain reaction (PCR) testing for the diagnosis of perinatally acquired HSV, correctly identify the disorder, or receive the test results in a timely fashion. Pediatric subspecialists, such as infectious disease physicians or neurologists, are also likely to be more available at children's hospitals than at other centers. While the role of subspecialty consultation in improving outcomes for neonates with HSV is not known, improved outcomes at children's hospitals has been described for other serious conditions such as splenic injuries.23 Children's hospitals had higher daily costs than non‐children's hospitals, as has been found in other work.17, 19 Children's hospitals may be treating sicker patients, for whom we are unable to adequately adjust for their illness severity with hospital administrative data.17, 19 Also, there may be a greater use of medical tests and treatments that increase the costs of care. These costs do not include indirect costs to the families such as loss of work and travel costs. In light of the shorter LOS in children's hospitals, policy makers will need to balance the potentially higher daily costs of care with more efficient management of the disease process.
Because this study used hospital administrative records, there are a few limitations. We used ICD‐9CM diagnosis codes to identify patients, congenital anomalies, and complications. The diagnosis of some infants with HSV or less significant congenital anomalies could have been missed because clinicians either overlooked the disease or did not make the diagnosis before discharge. This form of spectrum bias would likely miss the infants with the least severe disease and make it more difficult to find the results that we found in this study.24 Prior work successfully used and validated similar ICD‐9CM codes to identify HSV cases among the different types of hospitals included in the KID.611 Our study design estimated 1587 cases of neonatal HSV in 2003. A prospective study of maternal serologic and virologic status during pregnancy estimated 480 to 2160 new cases of neonatal HSV per year.25 Thus, while miscoding is a potential limitation to our study, the overall numbers of patients in this study were similar to past annual estimates. One potential area of miscounting, though, was the inability of the KID to link the records of 16% of the identified infants with HSV whose care was transferred between hospitals. These infants may result in misleading LOS or cost information: lower for the transferring hospital, because they only kept the child a short period of time, or lower for the accepting hospital, as some of the total hospital stay is not accounted for in the KID. We accounted for this issue in 2 ways. First, we included a variable for being transferred in the multivariable models, and found no difference in any results when we omitted these patients from the analysis. Second, we performed a univariable analysis stratified by transfer status, which did not differ substantially from our main model for most variables. Accurate linkage of all the hospital records for an infant's hospital course, likely only through a mandatory reporting system for infant HSV, would help confirm the associations we identified in this study.
In conclusion, infants with congenital anomalies should be closely monitored for the development of serious complications associated with HSV, particularly those infants with congenital heart disease, pulmonary anomalies, or central nervous system anomalies. Closer investigation of the care practices that children's hospitals use in the management of infants with HSV is needed to improve the efficiency of care delivered to these infants, as HSV disease remains a significant public health problem.
- ,,, et al.Natural history of neonatal herpes simplex virus infections in the acyclovir era.Pediatrics.2001;108:223–229.
- ,,.Herpes simplex viruses.Clin Infect Dis.1998;26:541–553.
- ,,.Herpes simplex virus infections. In: Remington JS, Wilson CB, Baker CJ, editors.Infectious Diseases of the Fetus and Newborn Infant.5th ed.Philadelphia, PA:W.B. Saunders;2001. p425–446.
- ,,, et al.Changing presentation of herpes simplex virus infection in neonates.J Infect Dis.1988;158:109–116.
- Design of the HCUP Kids' Inpatient Database (KID), 2003. Healthcare Cost and Utilization Project (HCUP).Rockville, MD:Agency for Healthcare Research and Quality;2003. Revised January 30, 2006. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf. Accessed October 2009.
- ,,.Incidence of neonatal herpes simplex virus infections in a managed‐care population.Sex Transm Dis.2007;34:704–708.
- ,,, et al.Targeted prenatal herpes simplex virus testing: can we identify women at risk of transmission to the neonate.Am J Obstet Gynecol.2006;194:408–414.
- ,,, et al.The estimated economic burden of genital herpes in the united states.BMC Infect Dis.2001;1:5.
- ,,, et al.Accuracy of obstetric diagnoses and procedures in hospital discharge data.Am J Obstet Gynecol.2006;194:992–1001.
- ,,, et al.The epidemiology of neonatal herpes simplex virus infections in California from 1985 to 1995.J Infect Dis.1999;180:199–202.
- ,,.Medical care expenditures for genital herpes in the United States.Sex Transm Dis.2000;27:32–38.
- ,,, et al.The epidemiology of sepsis in the United States from 1979 through 2000.N Engl J Med.2003;348:1546–1554.
- ,,, et al.The importance of comorbidities in explaining differences in patient costs.Med Care.1996;34:767–782.
- ,,, et al.Contribution of birth defects and genetic diseases to pediatric hospitalizations. A population‐based study.Arch Pediatr Adolesc Med.1997;151:1096–1103.
- ,,.The influence of chronic disease on resource utilization in common acute pediatric conditions. Financial concerns for children's hospitals.Arch Pediatr Adolesc Med.1999;153:169–179.
- Health Care Cost and Utility Project.Calculating Kids' Inpatient Database (KID) Variances. December 16, 2005. Methods Series Report # 2005‐5.Rockville, MD:Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf. Accessed October2009.
- ,,.Lengths of stay and costs associated with children's hospitals.Pediatrics.2005;115:839–844.
- ,.Length of stay for common pediatric conditions: teaching versus nonteaching hospitals.Pediatrics.2003;112:278–281.
- ,,.Patient and hospital correlates of clinical outcomes and resource utilization in severe pediatric sepsis.Pediatrics.2007;119:487–494.
- .Review of epidemiology and clinical risk factors for severe respiratory syncytial virus (RSV) infection.J Pediatr.2003;143:S112–S117.
- ,,, et al.Patient characteristics are important determinants of neurodevelopmental outcome at one year of age after neonatal and infant cardiac surgery.J Thorac Cardiovasc Surg.2007;133:1344–1353,1353,e1341–e1343.
- .Enterobacter sakazakii infections among neonates, infants, children, and adults. Case reports and a review of the literature.Medicine.2001;80:113–122.
- ,,, et al.Hospital characteristics associated with the management of pediatric splenic injuries.JAMA.2005;294:2611–2617.
- ,.Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation.Ann Intern Med.2002;137:598–602.
- ,,, et al.Effect of serologic status and cesarean delivery on transmission rates of herpes simplex virus from mother to infant.JAMA.2003;289:203–209.
Herpes simplex virus (HSV) is a significant cause of pediatric hospitalization, morbidity and mortality, particularly in infants under 60 days of age, where HSV can present as meningoencephalitis, skin disease, or sepsis.14 Most prior studies use data from registries taken from single centers or a restricted group of hospitals. Thus, there is a paucity of recent, nationally‐representative information about the outcome of infants infected with HSV, especially those treated at nonteaching hospitals or with rarer comorbid conditions. The goal of this project was to determine the patient and hospital characteristics associated with worse clinical outcomes in infants under the age of 60 days admitted with HSV disease. We hypothesized that younger infants, infants with a concurrent congenital anomaly, and infants treated at non‐children's hospitals would have worse clinical outcomes. To answer these questions, we used 2003 panel data from the Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID), a nationally representative sample of inpatient hospitalizations in the United States.
Methods
Study Population and Data Collection
We conducted a retrospective population cohort study of all infants admitted at 60 days of age who were discharged with a diagnosis of HSV disease between January 1, 2003 and December 31, 2003, using the 2003 KID. The KID is a collaborative project between the Agency for Healthcare Research and Quality AHRQ and 36 states, which includes approximately 2.9 million pediatric discharge records from 3438 hospitals.5 The KID is the only national, all‐payer database of pediatric hospitalizations in the United States.
Patient Eligibility
As in prior studies,611 children were eligible for this project if they were discharged with an International Classification of Disease, ninth edition, Clinical Modification (ICD‐9CM) discharge code of 054.xx (herpes simplex virus), where xx represented any combination of one or two‐digit codes, or 771.2 (neonatal viral infection including HSV). However, the 771.2 code may also contain other perinatal infections of relatively rare frequency, such as toxoplasmosis. Thus, we also performed the same set of analyses on the cohort of children who had an 054.xx code alone. No results presented in this study changed in statistical significance when this smaller cohort of infants was examined.
Data Variables and Outcomes
Outcome Variables
We examined 2 primary clinical outcomes in this study: in‐hospital death and the occurrence of a serious complication. Complications were identified using ICD‐9CM codes from both prior work12 and examination of all diagnosis and procedure codes for eligible infants by the 2 principal investigators (Appendix). These 2 reviewers had to independently agree on the inclusion of an ICD‐9CM code as a complication. In‐hospital deaths were captured through a disposition code of 20 in the KID dataset. Length of stay (LOS) and in‐hospital costs were examined as secondary outcome measures for specific risk factors of interest.
Demographic and Comorbidity Variables
Demographic and comorbidity variables were included in the analyses to control for the increased cost, LOS, or risk of a complication that result from these factors.1315 Demographic information available in the KID included gender, age at admission, race, low birth weight infants, and insurance status. Age at admission was grouped into 4 categories: 07 days, 814 days, 1528 days, and 2960 days. Infants were classified as low birth weight if they had an ICD‐9CM code for a birth weight <2000 g (ICD‐9CM codes 765.01‐07, 765.11‐17, or 765.21‐27). We used the ICD‐9CM codes shown in the Appendix to classify various comorbid conditions. Because of the young age of the cohort, all comorbid conditions consisted of congenital anomalies that were grouped according to the involved organ system. To help classify patients by their illness severity, we used the All‐Patient Refined Diagnosis‐Related Group (APR‐DRG) severity of illness classification for each hospital admission (3M Corporation, St. Paul, MN). The APR‐DRG classification system used discharge diagnoses, procedures, and demographic information to assign patients to 4 severity of illness categories.
Hospital Characteristics
We identified the following hospital characteristics from the KID: total bed size, divided as small, medium, and large; hospital status (children's hospital vs. non‐children's hospital, teaching hospital vs. nonteaching hospital); source of admission (emergency department, clinic, other hospitals); and location (rural vs. urban). Children's hospitals were identified by the AHRQ using information from the National Association of Children's Hospitals and Related Institutions, while teaching hospital status was determined by the presence of an approved residency program and a ratio of full‐time residents to beds of 0.25 or greater.5
Statistical Analysis
All analyses accounted for the complex sampling design with the survey commands included in STATA 9.2 (Statacorp, College Station, TX) and report national estimates from the data available in the 36 surveyed states. Because of the complex sampling design, the Wald test was used to determine significant differences for each outcome in univariable analysis. Variance estimates were reported as standard errors of the mean. We constructed multivariable logistic regression models to assess the adjusted impact of patient and hospital‐level characteristics on each primary outcome measure; ie, in‐hospital death and development of a serious complication. Negative binomial models were used for our secondary outcomes, LOS and costs, because of their rightward skew. Variance estimates for each model accounted for the clustering of data at the hospital level, and data were analyzed as per the latest AHRQ statistical update.16
Results
The 2003 KID identified 1587 hospitalizations for HSV in infants admitted at an age of 60 days or less in the entire United States. These infants had a total hospital cost of $27,147,000. Of the cohort, 10% had a concurrent congenital anomaly. Most infants (73.5%) were admitted within 14 days of birth, and 15.5% were transferred from another hospital. Based on APR‐DRG criteria, 33% of the infants were classified as having a moderate risk of death, 24% as major risk, and 12.2% as extreme risk. The majority of infants were treated at non‐children's hospitals (85.3%) in urban locations (91.5%). The average LOS was 12.0 0.6 days and the average total hospital cost was $17,382 1269. After admission, 267 of the infants, or 16.8%, had at least 1 serious complication. Fifty infants died during the hospitalization included in the KID.
Risk Factor Analysis
Serious Complications
Univariable (Table 1) analysis identified several factors associated with higher rates of serious complications. Younger age at admission was associated with a higher risk of serious complications. This trend was greatest for infants admitted under 14 days of age, of which 20.2% had a serious complication, compared with 10.2% of the infants admitted between 29 and 60 days of age. Infants with any identified congenital anomaly had significantly higher rates of serious complication (41.1% vs. 14.8% for infants without a congenital anomaly). Similar findings were seen with low birth weight infants. Infants who were transferred prior to the hospitalization captured in the KID had a higher complication rate (38.7%) than infants admitted as a routine admission (15.9%) or via the emergency room (8.8%). Among hospital‐level factors, infants admitted to children's or teaching hospitals had higher rates of serious complications, although only the difference between teaching and nonteaching hospitals reached statistical significance (Table 1).
| Patient‐Level Factors | % of Cohort | % with Serious Complication | % Death |
|---|---|---|---|
| |||
| Age at presentation | |||
| 7 days | 58.4 | 21.6* | 4.2* |
| 814 days | 15.1 | 15.8 | 3.6 |
| 1528 days | 16.4 | 9.7 | 2.1 |
| 2960 days | 10.1 | 10.2 | 0 |
| Low birth weight | |||
| Yes | 10.6 | 44.2* | 9.0* |
| No | 89.4 | 14.3 | 2.7 |
| Type of insurance | |||
| Private | 47.4 | 15.6 | 2.1* |
| Medicaid | 49.0 | 19.2 | 4.8 |
| Self pay | 3.6 | 17.0 | 0 |
| Race | |||
| White | 52.8 | 17.7 | 3.5 |
| Black | 18.9 | 17.6 | 4.2 |
| Other | 28.3 | 19.2 | 4.5 |
| Gender | |||
| Female | 45.4 | 15.7 | 2.2 |
| Male | 54.6 | 18.9 | 4.3 |
| Any congenital anomaly | |||
| Yes | 10.0 | 41.1* | 10.4* |
| No | 90.0 | 14.8 | 2.6 |
| Admission type | |||
| Routine | 62.3 | 15.9* | 2.8* |
| Emergency room | 22.2 | 8.8 | 1.1 |
| Transfer from another hospital | 15.5 | 38.7 | 9.6 |
| APR‐DRG risk | |||
| Mild | 3.0 | 0.3* | 0* |
| Moderate | 33.0 | 2.0 | 0.5 |
| Major | 24.0 | 24.7 | 2.3 |
| Extreme | 12.2 | 85.0 | 20.8 |
| Hospital‐level factors | |||
| Children's hospital | |||
| Yes | 14.7 | 27.0 | 6.4 |
| No | 85.3 | 16.3 | 3.1 |
| Teaching hospital | |||
| Yes | 68.4 | 21.3* | 4.3* |
| No | 31.7 | 8.5 | 1.5 |
| Location | |||
| Urban | 91.5 | 18.0* | 3.6 |
| Rural | 8.5 | 9.0 | 1.6 |
| Hospital size | |||
| Small | 14.1 | 19.3 | 4.2 |
| Medium | 25.9 | 14.3 | 3.2 |
| Large | 60.0 | 18.1 | 3.3 |
Many of these factors were independently associated with increased complication rates in multivariable analysis (Table 2). Infants under 7 days of age on admission (odds ratio [OR], 2.68; 95% confidence interval [CI], 1.112.47), low birth weight (OR, 5.17; 95% CI, 2.988.98), and the concurrent presence of a congenital anomaly (OR, 3.09; 95% CI, 1.805.33) were associated with higher odds of a serious complication. Site of care lost its statistical significance once our models adjusted for differences in illness severity. Insurance status, gender, and race were not associated with a change in complication rates for these infants.
| Risk Factor | Serious Complication | Mortality | ||
|---|---|---|---|---|
| Odds Ratio | 95% CI | Odds Ratio | 95% CI | |
| ||||
| Age at admission | ||||
| 7 days | 2.68 | 1.112.47 | 1.63 | 0.347.73 |
| 814 days | 1.22 | 0.403.73 | 2.15 | 0.3612.9 |
| 1428 days | 0.87 | 0.322.37 | Reference* | |
| 2960 days | Reference | |||
| Racial/ethnic status | ||||
| White | Reference | Reference | ||
| Black | 0.90 | 0.451.82 | 1.30 | 0.433.89 |
| Other | 0.99 | 0.571.70 | 1.19 | 0.482.99 |
| Treatment at children's hospital | 2.33 | 0.836.18 | 2.59 | 0.6510.2 |
| Treatment at teaching hospital | 1.71 | 0.943.12 | 1.86 | 0.566.25 |
| Female gender | 0.96 | 0.631.48 | 0.28 | 0.100.82 |
| Medicaid insurance | 1.51 | 0.912.50 | 1.69 | 0.634.53 |
| Transferred from another hospital | 3.76 | 2.036.98 | 3.47 | 1.428.46 |
| Transferred to another hospital | 1.35 | 0.672.73 | ||
| Presence of a congenital anomaly | 3.09 | 1.805.33 | 4.26 | 1.7610.3 |
| Low birth weight infant | 5.17 | 2.988.98 | 5.33 | 1.9015.0 |
Death
Risk factors for higher mortality rates followed similar trends as those for the risk of a serious complication. Younger age at admission, low birth weight status, the presence of a serious complication, admission from another hospital, and treatment at a children's hospital or teaching hospital were all associated with higher mortality rates. In multivariable analysis, the concurrent presence of a congenital anomaly was associated with higher odds of death (OR, 4.26; 95% CI, 1.7610.3). The cause of increased death in infants with congenital anomalies appeared to be a higher rate of serious complications, as including serious complications in the multivariable regression model resulted in the association between congenital anomalies and death losing statistical significance (OR in revised model 1.95; 95% CI, 0.636.05). Site of care again was not associated with differences in mortality after controlling for patient case‐mix.
Concurrent Congenital Anomalies
Based on the higher complication and mortality rates seen in infants with HSV who had a concurrent congenital anomaly, we then investigated how the presence of specific congenital anomalies influenced clinical outcomes, LOS, and total hospital costs with HSV disease. Using the congenital anomaly groups listed in the Appendix, we found that congenital heart disease, central nervous system anomalies, pulmonary anomalies, and gastrointestinal anomalies were each associated with either higher rates of serious complications, longer LOS, or higher total hospital costs compared to infants without congenital anomalies (Table 3). Serious complications occurred most commonly in patients with central nervous system anomalies (55.6%) and congenital heart disease (50.8%), while infants with pulmonary anomalies had the longest LOS (37.1 10.0 days) and highest total hospital costs of all anomaly categories. The types of complications differed by the anomaly group: infants with cardiac and pulmonary anomalies had the highest rates of respiratory complications (45% and 40%, respectively), whereas those with central nervous system anomalies had the highest rates of cardiac complications (51%). Each anomaly class had a similar rate of neurological complications, between 30% and 40%.
| Number* | % With Serious Complication | LOS (days) | Total Hospital Costs (2003 dollars) | |
|---|---|---|---|---|
| ||||
| No congenital anomaly | 1391 | 14.8 | 11.3 0.6 | 15,118 1158 |
| Type of congenital anomaly | ||||
| Congenital heart disease | 73 | 50.8 | 23.5 4.6 | 46,760 9340 |
| Central nervous system anomaly | 31 | 55.6 | 15.4 3.0 | 23,962 5037 |
| Head/neck anomaly | 13 | 40.6 | 11.1 4.6 | 14,132 7860 |
| Pulmonary anomaly | 13 | 34.1 | 37.1 10.0 | 67,234 21,002 |
| Gastrointestinal anomaly | 20 | 33.5 | 21.6 4.9 | 41,207 13,878 |
| Genitourinary anomaly | 19 | 24.1 | 11.0 2.5 | 10,906 1890 |
| Musculoskeletal anomaly | ||||
| Genetic anomaly | 18 | 10.2 | 12.2 2.4 | 15,990 3808 |
Site of Care
Finally, we examined the LOS and costs of receiving care at a children's hospital. The data shown in Tables 1 and 2 suggest that receiving treatment at a children's hospital does not result in improved clinical outcomes for infants admitted with HSV. One potential advantage, though, is improved efficiency of care, which would result in a shorter LOS or lower costs. Using negative binomial multivariable regression models to account for differences in patient characteristics, regional variation, and insurance status, treatment at a children's hospital was associated with an 18% shorter LOS (95% CI, 1%34%) compared to non‐children's hospitals after accounting for the generally sicker infants treated at children's hospitals. Children's hospitals, though, were more expensive than non‐children's hospitals (increase of $642 per day; 95% CI, $2321052). These results remained consistent when we omitted transferred patients from the model, instead of controlling for them in the analysis.
Conclusions
There has been little prior information to guide practitioners and parents about factors that potentially influence clinical outcome of infants hospitalized with HSV in non‐children's hospitals, although over 80% of infants are managed at non‐children's hospitals. These studies also did not have the power to characterize the risk of poor clinical outcome associated with rarer clinical factors.1, 2, 6 This study, using nationally representative data, found that these rarer clinical factors and site of care may influence the outcomes of infants hospitalized with HSV, albeit in different methods. Younger age at admission and a coexisting congenital anomaly remained statistically significant predictors of worse clinical outcomes after controlling for various patient and hospital factors. Not all congenital anomalies increased the risk of death or serious complications; rather, anomalies that affected either the cardiopulmonary system or the central nervous system appeared to result in the highest increases in risk. This study also found that treatment of infants with HSV at a children's hospital was associated with a 28% shorter LOS after accounting for the sicker patients cared for by children's hospitals. This finding is in contrast to prior studies of common pediatric conditions, where there were no differences in the LOS between children's and non‐children's hospitals,17, 18 and severe sepsis, where children's hospitals had longer LOSs.19 These results confirm the importance of specific risk factors in predicting the likelihood that an infant admitted with HSV may have a poor clinical outcome. Also, these results emphasize the differences in outcomes that may occur at different types of hospitals.
This study is the first to find that certain congenital anomalies or conditions may be associated with worse clinical outcomes from HSV. There is little information in the literature to explain these findings. Those anomalies that affect the cardiopulmonary or central nervous system may either worsen the symptoms of HSV or predispose infants to have a serious complication, such as shock or respiratory failure. This finding would be similar to the increased risk of serious complications seen in infants with congenital heart disease who contract respiratory syncytial virus20 or infants with genetic syndromes who undergo heart surgery.21 Alternatively, because we do not have information on do‐not‐resuscitate status, the presence of one of these congenital anomalies may result in more withdrawal of care when an infant is infected with HSV and has a serious complication; the LOS of these children may not reflect these decisions because the decision to withdrawal care may only occur after the child's condition worsens significantly, which may happen any time during the disease course. However, this theory is less likely because we failed to find similar results with other congenital anomalies such as genetic or chromosomal syndromes. Further examination of these infants and their overall response to insults such as HSV is needed to understand how these anomalies influence the outcomes of a serious, unrelated illness.
Age upon admission was another important predictor of poor outcomes when analyzed in univariable or multivariable analysis. This result is consistent with prior work,14 which suggests that younger children are more likely to be hospitalized with either congenitally acquired HSV or systemic disease. The information contained in the KID does not allow us to determine whether young age is a risk factor for poor outcome irrespective of the clinical presentation of HSV, or whether age serves as a proxy for the appearance of more severe clinical disease. This effect of age remained present even after controlling for the higher risk of a serious complication and death in low birth weight infants. There are limited data that suggest that premature birth is an independent risk factor for worse outcomes associated with perinatal or congenital infection; 1 previous case study of Enterobacter sakazakii infections found a higher fatality rate for premature infants compared to term infants.22 This study supports these findings.
This study found that treatment at a children's hospital resulted in a 28% shorter LOS without a statistically significant difference in clinical outcomes after controlling for case‐mix differences. This finding is in contrast to prior studies of common pediatric conditions17, 18 and severe sepsis.19 There are several potential explanations for the difference in findings. For common pediatric conditions, there may be fewer variations in treatment style and less need for new diagnostic modalities that are more available at academic centers. For HSV disease, though, children's hospitals may also be more likely than non‐children's hospitals to perform polymerase‐chain reaction (PCR) testing for the diagnosis of perinatally acquired HSV, correctly identify the disorder, or receive the test results in a timely fashion. Pediatric subspecialists, such as infectious disease physicians or neurologists, are also likely to be more available at children's hospitals than at other centers. While the role of subspecialty consultation in improving outcomes for neonates with HSV is not known, improved outcomes at children's hospitals has been described for other serious conditions such as splenic injuries.23 Children's hospitals had higher daily costs than non‐children's hospitals, as has been found in other work.17, 19 Children's hospitals may be treating sicker patients, for whom we are unable to adequately adjust for their illness severity with hospital administrative data.17, 19 Also, there may be a greater use of medical tests and treatments that increase the costs of care. These costs do not include indirect costs to the families such as loss of work and travel costs. In light of the shorter LOS in children's hospitals, policy makers will need to balance the potentially higher daily costs of care with more efficient management of the disease process.
Because this study used hospital administrative records, there are a few limitations. We used ICD‐9CM diagnosis codes to identify patients, congenital anomalies, and complications. The diagnosis of some infants with HSV or less significant congenital anomalies could have been missed because clinicians either overlooked the disease or did not make the diagnosis before discharge. This form of spectrum bias would likely miss the infants with the least severe disease and make it more difficult to find the results that we found in this study.24 Prior work successfully used and validated similar ICD‐9CM codes to identify HSV cases among the different types of hospitals included in the KID.611 Our study design estimated 1587 cases of neonatal HSV in 2003. A prospective study of maternal serologic and virologic status during pregnancy estimated 480 to 2160 new cases of neonatal HSV per year.25 Thus, while miscoding is a potential limitation to our study, the overall numbers of patients in this study were similar to past annual estimates. One potential area of miscounting, though, was the inability of the KID to link the records of 16% of the identified infants with HSV whose care was transferred between hospitals. These infants may result in misleading LOS or cost information: lower for the transferring hospital, because they only kept the child a short period of time, or lower for the accepting hospital, as some of the total hospital stay is not accounted for in the KID. We accounted for this issue in 2 ways. First, we included a variable for being transferred in the multivariable models, and found no difference in any results when we omitted these patients from the analysis. Second, we performed a univariable analysis stratified by transfer status, which did not differ substantially from our main model for most variables. Accurate linkage of all the hospital records for an infant's hospital course, likely only through a mandatory reporting system for infant HSV, would help confirm the associations we identified in this study.
In conclusion, infants with congenital anomalies should be closely monitored for the development of serious complications associated with HSV, particularly those infants with congenital heart disease, pulmonary anomalies, or central nervous system anomalies. Closer investigation of the care practices that children's hospitals use in the management of infants with HSV is needed to improve the efficiency of care delivered to these infants, as HSV disease remains a significant public health problem.
Herpes simplex virus (HSV) is a significant cause of pediatric hospitalization, morbidity and mortality, particularly in infants under 60 days of age, where HSV can present as meningoencephalitis, skin disease, or sepsis.14 Most prior studies use data from registries taken from single centers or a restricted group of hospitals. Thus, there is a paucity of recent, nationally‐representative information about the outcome of infants infected with HSV, especially those treated at nonteaching hospitals or with rarer comorbid conditions. The goal of this project was to determine the patient and hospital characteristics associated with worse clinical outcomes in infants under the age of 60 days admitted with HSV disease. We hypothesized that younger infants, infants with a concurrent congenital anomaly, and infants treated at non‐children's hospitals would have worse clinical outcomes. To answer these questions, we used 2003 panel data from the Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID), a nationally representative sample of inpatient hospitalizations in the United States.
Methods
Study Population and Data Collection
We conducted a retrospective population cohort study of all infants admitted at 60 days of age who were discharged with a diagnosis of HSV disease between January 1, 2003 and December 31, 2003, using the 2003 KID. The KID is a collaborative project between the Agency for Healthcare Research and Quality AHRQ and 36 states, which includes approximately 2.9 million pediatric discharge records from 3438 hospitals.5 The KID is the only national, all‐payer database of pediatric hospitalizations in the United States.
Patient Eligibility
As in prior studies,611 children were eligible for this project if they were discharged with an International Classification of Disease, ninth edition, Clinical Modification (ICD‐9CM) discharge code of 054.xx (herpes simplex virus), where xx represented any combination of one or two‐digit codes, or 771.2 (neonatal viral infection including HSV). However, the 771.2 code may also contain other perinatal infections of relatively rare frequency, such as toxoplasmosis. Thus, we also performed the same set of analyses on the cohort of children who had an 054.xx code alone. No results presented in this study changed in statistical significance when this smaller cohort of infants was examined.
Data Variables and Outcomes
Outcome Variables
We examined 2 primary clinical outcomes in this study: in‐hospital death and the occurrence of a serious complication. Complications were identified using ICD‐9CM codes from both prior work12 and examination of all diagnosis and procedure codes for eligible infants by the 2 principal investigators (Appendix). These 2 reviewers had to independently agree on the inclusion of an ICD‐9CM code as a complication. In‐hospital deaths were captured through a disposition code of 20 in the KID dataset. Length of stay (LOS) and in‐hospital costs were examined as secondary outcome measures for specific risk factors of interest.
Demographic and Comorbidity Variables
Demographic and comorbidity variables were included in the analyses to control for the increased cost, LOS, or risk of a complication that result from these factors.1315 Demographic information available in the KID included gender, age at admission, race, low birth weight infants, and insurance status. Age at admission was grouped into 4 categories: 07 days, 814 days, 1528 days, and 2960 days. Infants were classified as low birth weight if they had an ICD‐9CM code for a birth weight <2000 g (ICD‐9CM codes 765.01‐07, 765.11‐17, or 765.21‐27). We used the ICD‐9CM codes shown in the Appendix to classify various comorbid conditions. Because of the young age of the cohort, all comorbid conditions consisted of congenital anomalies that were grouped according to the involved organ system. To help classify patients by their illness severity, we used the All‐Patient Refined Diagnosis‐Related Group (APR‐DRG) severity of illness classification for each hospital admission (3M Corporation, St. Paul, MN). The APR‐DRG classification system used discharge diagnoses, procedures, and demographic information to assign patients to 4 severity of illness categories.
Hospital Characteristics
We identified the following hospital characteristics from the KID: total bed size, divided as small, medium, and large; hospital status (children's hospital vs. non‐children's hospital, teaching hospital vs. nonteaching hospital); source of admission (emergency department, clinic, other hospitals); and location (rural vs. urban). Children's hospitals were identified by the AHRQ using information from the National Association of Children's Hospitals and Related Institutions, while teaching hospital status was determined by the presence of an approved residency program and a ratio of full‐time residents to beds of 0.25 or greater.5
Statistical Analysis
All analyses accounted for the complex sampling design with the survey commands included in STATA 9.2 (Statacorp, College Station, TX) and report national estimates from the data available in the 36 surveyed states. Because of the complex sampling design, the Wald test was used to determine significant differences for each outcome in univariable analysis. Variance estimates were reported as standard errors of the mean. We constructed multivariable logistic regression models to assess the adjusted impact of patient and hospital‐level characteristics on each primary outcome measure; ie, in‐hospital death and development of a serious complication. Negative binomial models were used for our secondary outcomes, LOS and costs, because of their rightward skew. Variance estimates for each model accounted for the clustering of data at the hospital level, and data were analyzed as per the latest AHRQ statistical update.16
Results
The 2003 KID identified 1587 hospitalizations for HSV in infants admitted at an age of 60 days or less in the entire United States. These infants had a total hospital cost of $27,147,000. Of the cohort, 10% had a concurrent congenital anomaly. Most infants (73.5%) were admitted within 14 days of birth, and 15.5% were transferred from another hospital. Based on APR‐DRG criteria, 33% of the infants were classified as having a moderate risk of death, 24% as major risk, and 12.2% as extreme risk. The majority of infants were treated at non‐children's hospitals (85.3%) in urban locations (91.5%). The average LOS was 12.0 0.6 days and the average total hospital cost was $17,382 1269. After admission, 267 of the infants, or 16.8%, had at least 1 serious complication. Fifty infants died during the hospitalization included in the KID.
Risk Factor Analysis
Serious Complications
Univariable (Table 1) analysis identified several factors associated with higher rates of serious complications. Younger age at admission was associated with a higher risk of serious complications. This trend was greatest for infants admitted under 14 days of age, of which 20.2% had a serious complication, compared with 10.2% of the infants admitted between 29 and 60 days of age. Infants with any identified congenital anomaly had significantly higher rates of serious complication (41.1% vs. 14.8% for infants without a congenital anomaly). Similar findings were seen with low birth weight infants. Infants who were transferred prior to the hospitalization captured in the KID had a higher complication rate (38.7%) than infants admitted as a routine admission (15.9%) or via the emergency room (8.8%). Among hospital‐level factors, infants admitted to children's or teaching hospitals had higher rates of serious complications, although only the difference between teaching and nonteaching hospitals reached statistical significance (Table 1).
| Patient‐Level Factors | % of Cohort | % with Serious Complication | % Death |
|---|---|---|---|
| |||
| Age at presentation | |||
| 7 days | 58.4 | 21.6* | 4.2* |
| 814 days | 15.1 | 15.8 | 3.6 |
| 1528 days | 16.4 | 9.7 | 2.1 |
| 2960 days | 10.1 | 10.2 | 0 |
| Low birth weight | |||
| Yes | 10.6 | 44.2* | 9.0* |
| No | 89.4 | 14.3 | 2.7 |
| Type of insurance | |||
| Private | 47.4 | 15.6 | 2.1* |
| Medicaid | 49.0 | 19.2 | 4.8 |
| Self pay | 3.6 | 17.0 | 0 |
| Race | |||
| White | 52.8 | 17.7 | 3.5 |
| Black | 18.9 | 17.6 | 4.2 |
| Other | 28.3 | 19.2 | 4.5 |
| Gender | |||
| Female | 45.4 | 15.7 | 2.2 |
| Male | 54.6 | 18.9 | 4.3 |
| Any congenital anomaly | |||
| Yes | 10.0 | 41.1* | 10.4* |
| No | 90.0 | 14.8 | 2.6 |
| Admission type | |||
| Routine | 62.3 | 15.9* | 2.8* |
| Emergency room | 22.2 | 8.8 | 1.1 |
| Transfer from another hospital | 15.5 | 38.7 | 9.6 |
| APR‐DRG risk | |||
| Mild | 3.0 | 0.3* | 0* |
| Moderate | 33.0 | 2.0 | 0.5 |
| Major | 24.0 | 24.7 | 2.3 |
| Extreme | 12.2 | 85.0 | 20.8 |
| Hospital‐level factors | |||
| Children's hospital | |||
| Yes | 14.7 | 27.0 | 6.4 |
| No | 85.3 | 16.3 | 3.1 |
| Teaching hospital | |||
| Yes | 68.4 | 21.3* | 4.3* |
| No | 31.7 | 8.5 | 1.5 |
| Location | |||
| Urban | 91.5 | 18.0* | 3.6 |
| Rural | 8.5 | 9.0 | 1.6 |
| Hospital size | |||
| Small | 14.1 | 19.3 | 4.2 |
| Medium | 25.9 | 14.3 | 3.2 |
| Large | 60.0 | 18.1 | 3.3 |
Many of these factors were independently associated with increased complication rates in multivariable analysis (Table 2). Infants under 7 days of age on admission (odds ratio [OR], 2.68; 95% confidence interval [CI], 1.112.47), low birth weight (OR, 5.17; 95% CI, 2.988.98), and the concurrent presence of a congenital anomaly (OR, 3.09; 95% CI, 1.805.33) were associated with higher odds of a serious complication. Site of care lost its statistical significance once our models adjusted for differences in illness severity. Insurance status, gender, and race were not associated with a change in complication rates for these infants.
| Risk Factor | Serious Complication | Mortality | ||
|---|---|---|---|---|
| Odds Ratio | 95% CI | Odds Ratio | 95% CI | |
| ||||
| Age at admission | ||||
| 7 days | 2.68 | 1.112.47 | 1.63 | 0.347.73 |
| 814 days | 1.22 | 0.403.73 | 2.15 | 0.3612.9 |
| 1428 days | 0.87 | 0.322.37 | Reference* | |
| 2960 days | Reference | |||
| Racial/ethnic status | ||||
| White | Reference | Reference | ||
| Black | 0.90 | 0.451.82 | 1.30 | 0.433.89 |
| Other | 0.99 | 0.571.70 | 1.19 | 0.482.99 |
| Treatment at children's hospital | 2.33 | 0.836.18 | 2.59 | 0.6510.2 |
| Treatment at teaching hospital | 1.71 | 0.943.12 | 1.86 | 0.566.25 |
| Female gender | 0.96 | 0.631.48 | 0.28 | 0.100.82 |
| Medicaid insurance | 1.51 | 0.912.50 | 1.69 | 0.634.53 |
| Transferred from another hospital | 3.76 | 2.036.98 | 3.47 | 1.428.46 |
| Transferred to another hospital | 1.35 | 0.672.73 | ||
| Presence of a congenital anomaly | 3.09 | 1.805.33 | 4.26 | 1.7610.3 |
| Low birth weight infant | 5.17 | 2.988.98 | 5.33 | 1.9015.0 |
Death
Risk factors for higher mortality rates followed similar trends as those for the risk of a serious complication. Younger age at admission, low birth weight status, the presence of a serious complication, admission from another hospital, and treatment at a children's hospital or teaching hospital were all associated with higher mortality rates. In multivariable analysis, the concurrent presence of a congenital anomaly was associated with higher odds of death (OR, 4.26; 95% CI, 1.7610.3). The cause of increased death in infants with congenital anomalies appeared to be a higher rate of serious complications, as including serious complications in the multivariable regression model resulted in the association between congenital anomalies and death losing statistical significance (OR in revised model 1.95; 95% CI, 0.636.05). Site of care again was not associated with differences in mortality after controlling for patient case‐mix.
Concurrent Congenital Anomalies
Based on the higher complication and mortality rates seen in infants with HSV who had a concurrent congenital anomaly, we then investigated how the presence of specific congenital anomalies influenced clinical outcomes, LOS, and total hospital costs with HSV disease. Using the congenital anomaly groups listed in the Appendix, we found that congenital heart disease, central nervous system anomalies, pulmonary anomalies, and gastrointestinal anomalies were each associated with either higher rates of serious complications, longer LOS, or higher total hospital costs compared to infants without congenital anomalies (Table 3). Serious complications occurred most commonly in patients with central nervous system anomalies (55.6%) and congenital heart disease (50.8%), while infants with pulmonary anomalies had the longest LOS (37.1 10.0 days) and highest total hospital costs of all anomaly categories. The types of complications differed by the anomaly group: infants with cardiac and pulmonary anomalies had the highest rates of respiratory complications (45% and 40%, respectively), whereas those with central nervous system anomalies had the highest rates of cardiac complications (51%). Each anomaly class had a similar rate of neurological complications, between 30% and 40%.
| Number* | % With Serious Complication | LOS (days) | Total Hospital Costs (2003 dollars) | |
|---|---|---|---|---|
| ||||
| No congenital anomaly | 1391 | 14.8 | 11.3 0.6 | 15,118 1158 |
| Type of congenital anomaly | ||||
| Congenital heart disease | 73 | 50.8 | 23.5 4.6 | 46,760 9340 |
| Central nervous system anomaly | 31 | 55.6 | 15.4 3.0 | 23,962 5037 |
| Head/neck anomaly | 13 | 40.6 | 11.1 4.6 | 14,132 7860 |
| Pulmonary anomaly | 13 | 34.1 | 37.1 10.0 | 67,234 21,002 |
| Gastrointestinal anomaly | 20 | 33.5 | 21.6 4.9 | 41,207 13,878 |
| Genitourinary anomaly | 19 | 24.1 | 11.0 2.5 | 10,906 1890 |
| Musculoskeletal anomaly | ||||
| Genetic anomaly | 18 | 10.2 | 12.2 2.4 | 15,990 3808 |
Site of Care
Finally, we examined the LOS and costs of receiving care at a children's hospital. The data shown in Tables 1 and 2 suggest that receiving treatment at a children's hospital does not result in improved clinical outcomes for infants admitted with HSV. One potential advantage, though, is improved efficiency of care, which would result in a shorter LOS or lower costs. Using negative binomial multivariable regression models to account for differences in patient characteristics, regional variation, and insurance status, treatment at a children's hospital was associated with an 18% shorter LOS (95% CI, 1%34%) compared to non‐children's hospitals after accounting for the generally sicker infants treated at children's hospitals. Children's hospitals, though, were more expensive than non‐children's hospitals (increase of $642 per day; 95% CI, $2321052). These results remained consistent when we omitted transferred patients from the model, instead of controlling for them in the analysis.
Conclusions
There has been little prior information to guide practitioners and parents about factors that potentially influence clinical outcome of infants hospitalized with HSV in non‐children's hospitals, although over 80% of infants are managed at non‐children's hospitals. These studies also did not have the power to characterize the risk of poor clinical outcome associated with rarer clinical factors.1, 2, 6 This study, using nationally representative data, found that these rarer clinical factors and site of care may influence the outcomes of infants hospitalized with HSV, albeit in different methods. Younger age at admission and a coexisting congenital anomaly remained statistically significant predictors of worse clinical outcomes after controlling for various patient and hospital factors. Not all congenital anomalies increased the risk of death or serious complications; rather, anomalies that affected either the cardiopulmonary system or the central nervous system appeared to result in the highest increases in risk. This study also found that treatment of infants with HSV at a children's hospital was associated with a 28% shorter LOS after accounting for the sicker patients cared for by children's hospitals. This finding is in contrast to prior studies of common pediatric conditions, where there were no differences in the LOS between children's and non‐children's hospitals,17, 18 and severe sepsis, where children's hospitals had longer LOSs.19 These results confirm the importance of specific risk factors in predicting the likelihood that an infant admitted with HSV may have a poor clinical outcome. Also, these results emphasize the differences in outcomes that may occur at different types of hospitals.
This study is the first to find that certain congenital anomalies or conditions may be associated with worse clinical outcomes from HSV. There is little information in the literature to explain these findings. Those anomalies that affect the cardiopulmonary or central nervous system may either worsen the symptoms of HSV or predispose infants to have a serious complication, such as shock or respiratory failure. This finding would be similar to the increased risk of serious complications seen in infants with congenital heart disease who contract respiratory syncytial virus20 or infants with genetic syndromes who undergo heart surgery.21 Alternatively, because we do not have information on do‐not‐resuscitate status, the presence of one of these congenital anomalies may result in more withdrawal of care when an infant is infected with HSV and has a serious complication; the LOS of these children may not reflect these decisions because the decision to withdrawal care may only occur after the child's condition worsens significantly, which may happen any time during the disease course. However, this theory is less likely because we failed to find similar results with other congenital anomalies such as genetic or chromosomal syndromes. Further examination of these infants and their overall response to insults such as HSV is needed to understand how these anomalies influence the outcomes of a serious, unrelated illness.
Age upon admission was another important predictor of poor outcomes when analyzed in univariable or multivariable analysis. This result is consistent with prior work,14 which suggests that younger children are more likely to be hospitalized with either congenitally acquired HSV or systemic disease. The information contained in the KID does not allow us to determine whether young age is a risk factor for poor outcome irrespective of the clinical presentation of HSV, or whether age serves as a proxy for the appearance of more severe clinical disease. This effect of age remained present even after controlling for the higher risk of a serious complication and death in low birth weight infants. There are limited data that suggest that premature birth is an independent risk factor for worse outcomes associated with perinatal or congenital infection; 1 previous case study of Enterobacter sakazakii infections found a higher fatality rate for premature infants compared to term infants.22 This study supports these findings.
This study found that treatment at a children's hospital resulted in a 28% shorter LOS without a statistically significant difference in clinical outcomes after controlling for case‐mix differences. This finding is in contrast to prior studies of common pediatric conditions17, 18 and severe sepsis.19 There are several potential explanations for the difference in findings. For common pediatric conditions, there may be fewer variations in treatment style and less need for new diagnostic modalities that are more available at academic centers. For HSV disease, though, children's hospitals may also be more likely than non‐children's hospitals to perform polymerase‐chain reaction (PCR) testing for the diagnosis of perinatally acquired HSV, correctly identify the disorder, or receive the test results in a timely fashion. Pediatric subspecialists, such as infectious disease physicians or neurologists, are also likely to be more available at children's hospitals than at other centers. While the role of subspecialty consultation in improving outcomes for neonates with HSV is not known, improved outcomes at children's hospitals has been described for other serious conditions such as splenic injuries.23 Children's hospitals had higher daily costs than non‐children's hospitals, as has been found in other work.17, 19 Children's hospitals may be treating sicker patients, for whom we are unable to adequately adjust for their illness severity with hospital administrative data.17, 19 Also, there may be a greater use of medical tests and treatments that increase the costs of care. These costs do not include indirect costs to the families such as loss of work and travel costs. In light of the shorter LOS in children's hospitals, policy makers will need to balance the potentially higher daily costs of care with more efficient management of the disease process.
Because this study used hospital administrative records, there are a few limitations. We used ICD‐9CM diagnosis codes to identify patients, congenital anomalies, and complications. The diagnosis of some infants with HSV or less significant congenital anomalies could have been missed because clinicians either overlooked the disease or did not make the diagnosis before discharge. This form of spectrum bias would likely miss the infants with the least severe disease and make it more difficult to find the results that we found in this study.24 Prior work successfully used and validated similar ICD‐9CM codes to identify HSV cases among the different types of hospitals included in the KID.611 Our study design estimated 1587 cases of neonatal HSV in 2003. A prospective study of maternal serologic and virologic status during pregnancy estimated 480 to 2160 new cases of neonatal HSV per year.25 Thus, while miscoding is a potential limitation to our study, the overall numbers of patients in this study were similar to past annual estimates. One potential area of miscounting, though, was the inability of the KID to link the records of 16% of the identified infants with HSV whose care was transferred between hospitals. These infants may result in misleading LOS or cost information: lower for the transferring hospital, because they only kept the child a short period of time, or lower for the accepting hospital, as some of the total hospital stay is not accounted for in the KID. We accounted for this issue in 2 ways. First, we included a variable for being transferred in the multivariable models, and found no difference in any results when we omitted these patients from the analysis. Second, we performed a univariable analysis stratified by transfer status, which did not differ substantially from our main model for most variables. Accurate linkage of all the hospital records for an infant's hospital course, likely only through a mandatory reporting system for infant HSV, would help confirm the associations we identified in this study.
In conclusion, infants with congenital anomalies should be closely monitored for the development of serious complications associated with HSV, particularly those infants with congenital heart disease, pulmonary anomalies, or central nervous system anomalies. Closer investigation of the care practices that children's hospitals use in the management of infants with HSV is needed to improve the efficiency of care delivered to these infants, as HSV disease remains a significant public health problem.
- ,,, et al.Natural history of neonatal herpes simplex virus infections in the acyclovir era.Pediatrics.2001;108:223–229.
- ,,.Herpes simplex viruses.Clin Infect Dis.1998;26:541–553.
- ,,.Herpes simplex virus infections. In: Remington JS, Wilson CB, Baker CJ, editors.Infectious Diseases of the Fetus and Newborn Infant.5th ed.Philadelphia, PA:W.B. Saunders;2001. p425–446.
- ,,, et al.Changing presentation of herpes simplex virus infection in neonates.J Infect Dis.1988;158:109–116.
- Design of the HCUP Kids' Inpatient Database (KID), 2003. Healthcare Cost and Utilization Project (HCUP).Rockville, MD:Agency for Healthcare Research and Quality;2003. Revised January 30, 2006. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf. Accessed October 2009.
- ,,.Incidence of neonatal herpes simplex virus infections in a managed‐care population.Sex Transm Dis.2007;34:704–708.
- ,,, et al.Targeted prenatal herpes simplex virus testing: can we identify women at risk of transmission to the neonate.Am J Obstet Gynecol.2006;194:408–414.
- ,,, et al.The estimated economic burden of genital herpes in the united states.BMC Infect Dis.2001;1:5.
- ,,, et al.Accuracy of obstetric diagnoses and procedures in hospital discharge data.Am J Obstet Gynecol.2006;194:992–1001.
- ,,, et al.The epidemiology of neonatal herpes simplex virus infections in California from 1985 to 1995.J Infect Dis.1999;180:199–202.
- ,,.Medical care expenditures for genital herpes in the United States.Sex Transm Dis.2000;27:32–38.
- ,,, et al.The epidemiology of sepsis in the United States from 1979 through 2000.N Engl J Med.2003;348:1546–1554.
- ,,, et al.The importance of comorbidities in explaining differences in patient costs.Med Care.1996;34:767–782.
- ,,, et al.Contribution of birth defects and genetic diseases to pediatric hospitalizations. A population‐based study.Arch Pediatr Adolesc Med.1997;151:1096–1103.
- ,,.The influence of chronic disease on resource utilization in common acute pediatric conditions. Financial concerns for children's hospitals.Arch Pediatr Adolesc Med.1999;153:169–179.
- Health Care Cost and Utility Project.Calculating Kids' Inpatient Database (KID) Variances. December 16, 2005. Methods Series Report # 2005‐5.Rockville, MD:Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf. Accessed October2009.
- ,,.Lengths of stay and costs associated with children's hospitals.Pediatrics.2005;115:839–844.
- ,.Length of stay for common pediatric conditions: teaching versus nonteaching hospitals.Pediatrics.2003;112:278–281.
- ,,.Patient and hospital correlates of clinical outcomes and resource utilization in severe pediatric sepsis.Pediatrics.2007;119:487–494.
- .Review of epidemiology and clinical risk factors for severe respiratory syncytial virus (RSV) infection.J Pediatr.2003;143:S112–S117.
- ,,, et al.Patient characteristics are important determinants of neurodevelopmental outcome at one year of age after neonatal and infant cardiac surgery.J Thorac Cardiovasc Surg.2007;133:1344–1353,1353,e1341–e1343.
- .Enterobacter sakazakii infections among neonates, infants, children, and adults. Case reports and a review of the literature.Medicine.2001;80:113–122.
- ,,, et al.Hospital characteristics associated with the management of pediatric splenic injuries.JAMA.2005;294:2611–2617.
- ,.Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation.Ann Intern Med.2002;137:598–602.
- ,,, et al.Effect of serologic status and cesarean delivery on transmission rates of herpes simplex virus from mother to infant.JAMA.2003;289:203–209.
- ,,, et al.Natural history of neonatal herpes simplex virus infections in the acyclovir era.Pediatrics.2001;108:223–229.
- ,,.Herpes simplex viruses.Clin Infect Dis.1998;26:541–553.
- ,,.Herpes simplex virus infections. In: Remington JS, Wilson CB, Baker CJ, editors.Infectious Diseases of the Fetus and Newborn Infant.5th ed.Philadelphia, PA:W.B. Saunders;2001. p425–446.
- ,,, et al.Changing presentation of herpes simplex virus infection in neonates.J Infect Dis.1988;158:109–116.
- Design of the HCUP Kids' Inpatient Database (KID), 2003. Healthcare Cost and Utilization Project (HCUP).Rockville, MD:Agency for Healthcare Research and Quality;2003. Revised January 30, 2006. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf. Accessed October 2009.
- ,,.Incidence of neonatal herpes simplex virus infections in a managed‐care population.Sex Transm Dis.2007;34:704–708.
- ,,, et al.Targeted prenatal herpes simplex virus testing: can we identify women at risk of transmission to the neonate.Am J Obstet Gynecol.2006;194:408–414.
- ,,, et al.The estimated economic burden of genital herpes in the united states.BMC Infect Dis.2001;1:5.
- ,,, et al.Accuracy of obstetric diagnoses and procedures in hospital discharge data.Am J Obstet Gynecol.2006;194:992–1001.
- ,,, et al.The epidemiology of neonatal herpes simplex virus infections in California from 1985 to 1995.J Infect Dis.1999;180:199–202.
- ,,.Medical care expenditures for genital herpes in the United States.Sex Transm Dis.2000;27:32–38.
- ,,, et al.The epidemiology of sepsis in the United States from 1979 through 2000.N Engl J Med.2003;348:1546–1554.
- ,,, et al.The importance of comorbidities in explaining differences in patient costs.Med Care.1996;34:767–782.
- ,,, et al.Contribution of birth defects and genetic diseases to pediatric hospitalizations. A population‐based study.Arch Pediatr Adolesc Med.1997;151:1096–1103.
- ,,.The influence of chronic disease on resource utilization in common acute pediatric conditions. Financial concerns for children's hospitals.Arch Pediatr Adolesc Med.1999;153:169–179.
- Health Care Cost and Utility Project.Calculating Kids' Inpatient Database (KID) Variances. December 16, 2005. Methods Series Report # 2005‐5.Rockville, MD:Agency for Healthcare Research and Quality. Available at: http://www.hcup‐us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf. Accessed October2009.
- ,,.Lengths of stay and costs associated with children's hospitals.Pediatrics.2005;115:839–844.
- ,.Length of stay for common pediatric conditions: teaching versus nonteaching hospitals.Pediatrics.2003;112:278–281.
- ,,.Patient and hospital correlates of clinical outcomes and resource utilization in severe pediatric sepsis.Pediatrics.2007;119:487–494.
- .Review of epidemiology and clinical risk factors for severe respiratory syncytial virus (RSV) infection.J Pediatr.2003;143:S112–S117.
- ,,, et al.Patient characteristics are important determinants of neurodevelopmental outcome at one year of age after neonatal and infant cardiac surgery.J Thorac Cardiovasc Surg.2007;133:1344–1353,1353,e1341–e1343.
- .Enterobacter sakazakii infections among neonates, infants, children, and adults. Case reports and a review of the literature.Medicine.2001;80:113–122.
- ,,, et al.Hospital characteristics associated with the management of pediatric splenic injuries.JAMA.2005;294:2611–2617.
- ,.Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation.Ann Intern Med.2002;137:598–602.
- ,,, et al.Effect of serologic status and cesarean delivery on transmission rates of herpes simplex virus from mother to infant.JAMA.2003;289:203–209.
Copyright © 2010 Society of Hospital Medicine