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Plane Crash Highlights Hospitalists' Role in MCIs
Mass casualty incidents (MCIs), such as the landing of a US Airways jetliner in New York City's frigid Hudson River, showcase the role hospitalists can play in an ED scrambling to handle a triage scenario.
When the Airbus A320 and its 155 passengers crashed Jan. 15, New York and New Jersey hospitals braced for incoming patients. However, reports showed only a few dozen passengers were treated—the most serious for a fractured leg. Still, at Jersey City (N.J.) Medical Center (JCMC), eight victims brought to the ED meant half a dozen patients had to be discharged to make room.
"The hospitalists were involved only on the periphery this time, as we initially needed their approval to move patients out in anticipation of mass casualties," Douglas Ratner, MD, chairman and program director of JCMC's Department of Medicine, wrote in an e-mail. "They will be integral in future endeavors like this."
To that end, some hospitalists used the "Miracle on the Hudson" as a rallying cry for more training.
"How many of us have gone through rigorous teamwork training to learn to better communicate with our 'cabinmates' during times of stress? Remarkably few," Robert Wachter, MD, a hospitalist as well as a professor and associate chairman of the University of California at San Francisco’s department of medicine, wrote on his blog (the-hospitalist.org/blogs). "How often do we need to demonstrate our continued competency in our specialty? For most board-certified physicians, about every 10 years (up from 'never' 20 years ago). And how well do we learn from our errors? Well, never mind."
Mass casualty incidents (MCIs), such as the landing of a US Airways jetliner in New York City's frigid Hudson River, showcase the role hospitalists can play in an ED scrambling to handle a triage scenario.
When the Airbus A320 and its 155 passengers crashed Jan. 15, New York and New Jersey hospitals braced for incoming patients. However, reports showed only a few dozen passengers were treated—the most serious for a fractured leg. Still, at Jersey City (N.J.) Medical Center (JCMC), eight victims brought to the ED meant half a dozen patients had to be discharged to make room.
"The hospitalists were involved only on the periphery this time, as we initially needed their approval to move patients out in anticipation of mass casualties," Douglas Ratner, MD, chairman and program director of JCMC's Department of Medicine, wrote in an e-mail. "They will be integral in future endeavors like this."
To that end, some hospitalists used the "Miracle on the Hudson" as a rallying cry for more training.
"How many of us have gone through rigorous teamwork training to learn to better communicate with our 'cabinmates' during times of stress? Remarkably few," Robert Wachter, MD, a hospitalist as well as a professor and associate chairman of the University of California at San Francisco’s department of medicine, wrote on his blog (the-hospitalist.org/blogs). "How often do we need to demonstrate our continued competency in our specialty? For most board-certified physicians, about every 10 years (up from 'never' 20 years ago). And how well do we learn from our errors? Well, never mind."
Mass casualty incidents (MCIs), such as the landing of a US Airways jetliner in New York City's frigid Hudson River, showcase the role hospitalists can play in an ED scrambling to handle a triage scenario.
When the Airbus A320 and its 155 passengers crashed Jan. 15, New York and New Jersey hospitals braced for incoming patients. However, reports showed only a few dozen passengers were treated—the most serious for a fractured leg. Still, at Jersey City (N.J.) Medical Center (JCMC), eight victims brought to the ED meant half a dozen patients had to be discharged to make room.
"The hospitalists were involved only on the periphery this time, as we initially needed their approval to move patients out in anticipation of mass casualties," Douglas Ratner, MD, chairman and program director of JCMC's Department of Medicine, wrote in an e-mail. "They will be integral in future endeavors like this."
To that end, some hospitalists used the "Miracle on the Hudson" as a rallying cry for more training.
"How many of us have gone through rigorous teamwork training to learn to better communicate with our 'cabinmates' during times of stress? Remarkably few," Robert Wachter, MD, a hospitalist as well as a professor and associate chairman of the University of California at San Francisco’s department of medicine, wrote on his blog (the-hospitalist.org/blogs). "How often do we need to demonstrate our continued competency in our specialty? For most board-certified physicians, about every 10 years (up from 'never' 20 years ago). And how well do we learn from our errors? Well, never mind."
The Blog Rounds
Too busy rounding on patients to keep up with the blogosphere? We're doing the surfing for you in this first monthly roundup of what your colleagues are buzzing about in cyberspace.
First up: The Happy Hospitalist, who was not happy about Medco CEO Dave Snow's support of treatment protocols, had the following to say last week: "This guy doesn't get it. Cookbook medicine is but a tiny fraction of care. Perhaps 5% or less. I can admit a hemorrhagic stroke, follow standardized protocols, and the next 10 patients will have 10 different permutations of care. I can follow the guidelines to a T and every single patient's comorbid conditions will add layers upon layers of complication to the management."
On SHM's Hospitalist Leader blog, former SHM CEO Rusty Holman touched upon another frustration in the workplace: New hires who complain that "this isn't what I signed up for." Dr. Holman’s advice? When hiring explain that "the job you take today is likely— no, is certain— to be different a year from now." Dr. Holman assures practice managers that "as a leader, you will never be faulted for telling the truth."
Speaking of leaders, Health Beat's Maggie Mahar offered her thoughts on President Obama's inauguration speech: "When President Obama said, 'The time has come to put away childish things,' I couldn't help but recall healthcare reformer Don Berwick, sounding discouraged last winter, as he said, 'Maybe this country just isn't mature enough for healthcare reform.' Berwick, who is the president of the Institute for Healthcare Improvement, was referring to the fact that at times, it seems that everyone wants healthcare for all— but no one wants to pay for it."
Too busy rounding on patients to keep up with the blogosphere? We're doing the surfing for you in this first monthly roundup of what your colleagues are buzzing about in cyberspace.
First up: The Happy Hospitalist, who was not happy about Medco CEO Dave Snow's support of treatment protocols, had the following to say last week: "This guy doesn't get it. Cookbook medicine is but a tiny fraction of care. Perhaps 5% or less. I can admit a hemorrhagic stroke, follow standardized protocols, and the next 10 patients will have 10 different permutations of care. I can follow the guidelines to a T and every single patient's comorbid conditions will add layers upon layers of complication to the management."
On SHM's Hospitalist Leader blog, former SHM CEO Rusty Holman touched upon another frustration in the workplace: New hires who complain that "this isn't what I signed up for." Dr. Holman’s advice? When hiring explain that "the job you take today is likely— no, is certain— to be different a year from now." Dr. Holman assures practice managers that "as a leader, you will never be faulted for telling the truth."
Speaking of leaders, Health Beat's Maggie Mahar offered her thoughts on President Obama's inauguration speech: "When President Obama said, 'The time has come to put away childish things,' I couldn't help but recall healthcare reformer Don Berwick, sounding discouraged last winter, as he said, 'Maybe this country just isn't mature enough for healthcare reform.' Berwick, who is the president of the Institute for Healthcare Improvement, was referring to the fact that at times, it seems that everyone wants healthcare for all— but no one wants to pay for it."
Too busy rounding on patients to keep up with the blogosphere? We're doing the surfing for you in this first monthly roundup of what your colleagues are buzzing about in cyberspace.
First up: The Happy Hospitalist, who was not happy about Medco CEO Dave Snow's support of treatment protocols, had the following to say last week: "This guy doesn't get it. Cookbook medicine is but a tiny fraction of care. Perhaps 5% or less. I can admit a hemorrhagic stroke, follow standardized protocols, and the next 10 patients will have 10 different permutations of care. I can follow the guidelines to a T and every single patient's comorbid conditions will add layers upon layers of complication to the management."
On SHM's Hospitalist Leader blog, former SHM CEO Rusty Holman touched upon another frustration in the workplace: New hires who complain that "this isn't what I signed up for." Dr. Holman’s advice? When hiring explain that "the job you take today is likely— no, is certain— to be different a year from now." Dr. Holman assures practice managers that "as a leader, you will never be faulted for telling the truth."
Speaking of leaders, Health Beat's Maggie Mahar offered her thoughts on President Obama's inauguration speech: "When President Obama said, 'The time has come to put away childish things,' I couldn't help but recall healthcare reformer Don Berwick, sounding discouraged last winter, as he said, 'Maybe this country just isn't mature enough for healthcare reform.' Berwick, who is the president of the Institute for Healthcare Improvement, was referring to the fact that at times, it seems that everyone wants healthcare for all— but no one wants to pay for it."
Onward and Upward
New data from the American Hospital Association (AHA) showing hospitalists number 23,000 and now practice in 4 out of 5 large hospitals drew the same response from doctors and administrators alike: We know.
"I don’t think a hospitalist program is optional," says Mark Larey, MD, vice president of medical affairs at St. Joseph's Mercy Health Center in Hot Springs, Ark. "In today’s environment, due to the regulatory issues, trying to improve patient satisfaction, trying to manage the increased unassigned population, it would be increasingly difficult to keep everything balanced … without a hospitalist service."
Dr. Larey's 309-bed hospital has a team of five internists and one nurse practitioner, and is adding a sixth full-time position this fall to absorb increased stress on the emergency department. The situation is typical of the exponential growth of the industry since it started in 1996 with as few as 500 hospitalists, says Larry Wellikson, MD, CEO of SHM.
In many hospitals, hospital medicine has become a quality-care necessity—one that increases satisfaction scores, trims length of stay, and increases emergency-room throughputs, Dr. Wellikson says. AHA figures culled from the 2007 survey of nearly 5,000 community hospitals show that at hospitals with 200 or more beds, 83% have hospital medicine programs. SHM estimates the current hospitalist workforce at 29,000.
"It took emergency medicine 25, 30 years to get to the point hospital medicine got to in 10 years," Dr. Wellikson says. "It’s the growth of a specialty on steroids."
For more information, visit http://www.aha.org/aha/research-and-trends/health-and-hospital-trends/2008.html.
New data from the American Hospital Association (AHA) showing hospitalists number 23,000 and now practice in 4 out of 5 large hospitals drew the same response from doctors and administrators alike: We know.
"I don’t think a hospitalist program is optional," says Mark Larey, MD, vice president of medical affairs at St. Joseph's Mercy Health Center in Hot Springs, Ark. "In today’s environment, due to the regulatory issues, trying to improve patient satisfaction, trying to manage the increased unassigned population, it would be increasingly difficult to keep everything balanced … without a hospitalist service."
Dr. Larey's 309-bed hospital has a team of five internists and one nurse practitioner, and is adding a sixth full-time position this fall to absorb increased stress on the emergency department. The situation is typical of the exponential growth of the industry since it started in 1996 with as few as 500 hospitalists, says Larry Wellikson, MD, CEO of SHM.
In many hospitals, hospital medicine has become a quality-care necessity—one that increases satisfaction scores, trims length of stay, and increases emergency-room throughputs, Dr. Wellikson says. AHA figures culled from the 2007 survey of nearly 5,000 community hospitals show that at hospitals with 200 or more beds, 83% have hospital medicine programs. SHM estimates the current hospitalist workforce at 29,000.
"It took emergency medicine 25, 30 years to get to the point hospital medicine got to in 10 years," Dr. Wellikson says. "It’s the growth of a specialty on steroids."
For more information, visit http://www.aha.org/aha/research-and-trends/health-and-hospital-trends/2008.html.
New data from the American Hospital Association (AHA) showing hospitalists number 23,000 and now practice in 4 out of 5 large hospitals drew the same response from doctors and administrators alike: We know.
"I don’t think a hospitalist program is optional," says Mark Larey, MD, vice president of medical affairs at St. Joseph's Mercy Health Center in Hot Springs, Ark. "In today’s environment, due to the regulatory issues, trying to improve patient satisfaction, trying to manage the increased unassigned population, it would be increasingly difficult to keep everything balanced … without a hospitalist service."
Dr. Larey's 309-bed hospital has a team of five internists and one nurse practitioner, and is adding a sixth full-time position this fall to absorb increased stress on the emergency department. The situation is typical of the exponential growth of the industry since it started in 1996 with as few as 500 hospitalists, says Larry Wellikson, MD, CEO of SHM.
In many hospitals, hospital medicine has become a quality-care necessity—one that increases satisfaction scores, trims length of stay, and increases emergency-room throughputs, Dr. Wellikson says. AHA figures culled from the 2007 survey of nearly 5,000 community hospitals show that at hospitals with 200 or more beds, 83% have hospital medicine programs. SHM estimates the current hospitalist workforce at 29,000.
"It took emergency medicine 25, 30 years to get to the point hospital medicine got to in 10 years," Dr. Wellikson says. "It’s the growth of a specialty on steroids."
For more information, visit http://www.aha.org/aha/research-and-trends/health-and-hospital-trends/2008.html.
Research Roundup
Question: Can a D-dimer level assess the risk of recurrent venous thromboembolism (VTE) after a course of anticoagulation therapy has been completed?
Background: The duration of anticoagulation therapy for first unprovoked VTE is uncertain. Identifying risk of recurrent VTE will help clinicians make decisions on optimal duration of anticoagulation.
Study design: Systematic review and meta-analysis.
Setting: Patients who have completed therapy for an episode of VTE without known risks.
Synopsis: Seven high-quality studies totaling 1,888 patients with first unprovoked VTE were analyzed. All patients received standardized therapy for at least three months with warfarin (Coumadin). A D-dimer had been checked in all patients between three and six weeks after stopping anticoagulation. The annual rate of VTE recurrence among patients with a positive D-dimer result was 8.9% (confidence interval (CI), 5.8% to 11.9%) compared with 3.5% (CI, 2.7 to 4.3%) for those with a negative result.
False-positive or false-negative D-dimer results could have occurred due to the heterogeneity in duration of anticoagulation and timing of D-dimer testing among the various studies. Since none of the studies were blinded to a history of VTE, there is potential for outcome ascertainment bias due to studying a sample deemed susceptible to disease recurrence.
Bottom line: D-dimer testing holds promise in identifying risk of VTE recurrence and could aid therapeutic decision-making regarding duration of anticoagulation.
Citation: Ann Intern Med. 2008;149:481-490
–Reviewed for the eWire by Rebecca Allyn, MD, Smitha Chadaga, MD, Mary Dedecker, MD, Vignesh Narayanan, MD, Eugene S. Chu, MD, Division of Hospital Medicine, Denver Health and Hospital Authority
Question: Can a D-dimer level assess the risk of recurrent venous thromboembolism (VTE) after a course of anticoagulation therapy has been completed?
Background: The duration of anticoagulation therapy for first unprovoked VTE is uncertain. Identifying risk of recurrent VTE will help clinicians make decisions on optimal duration of anticoagulation.
Study design: Systematic review and meta-analysis.
Setting: Patients who have completed therapy for an episode of VTE without known risks.
Synopsis: Seven high-quality studies totaling 1,888 patients with first unprovoked VTE were analyzed. All patients received standardized therapy for at least three months with warfarin (Coumadin). A D-dimer had been checked in all patients between three and six weeks after stopping anticoagulation. The annual rate of VTE recurrence among patients with a positive D-dimer result was 8.9% (confidence interval (CI), 5.8% to 11.9%) compared with 3.5% (CI, 2.7 to 4.3%) for those with a negative result.
False-positive or false-negative D-dimer results could have occurred due to the heterogeneity in duration of anticoagulation and timing of D-dimer testing among the various studies. Since none of the studies were blinded to a history of VTE, there is potential for outcome ascertainment bias due to studying a sample deemed susceptible to disease recurrence.
Bottom line: D-dimer testing holds promise in identifying risk of VTE recurrence and could aid therapeutic decision-making regarding duration of anticoagulation.
Citation: Ann Intern Med. 2008;149:481-490
–Reviewed for the eWire by Rebecca Allyn, MD, Smitha Chadaga, MD, Mary Dedecker, MD, Vignesh Narayanan, MD, Eugene S. Chu, MD, Division of Hospital Medicine, Denver Health and Hospital Authority
Question: Can a D-dimer level assess the risk of recurrent venous thromboembolism (VTE) after a course of anticoagulation therapy has been completed?
Background: The duration of anticoagulation therapy for first unprovoked VTE is uncertain. Identifying risk of recurrent VTE will help clinicians make decisions on optimal duration of anticoagulation.
Study design: Systematic review and meta-analysis.
Setting: Patients who have completed therapy for an episode of VTE without known risks.
Synopsis: Seven high-quality studies totaling 1,888 patients with first unprovoked VTE were analyzed. All patients received standardized therapy for at least three months with warfarin (Coumadin). A D-dimer had been checked in all patients between three and six weeks after stopping anticoagulation. The annual rate of VTE recurrence among patients with a positive D-dimer result was 8.9% (confidence interval (CI), 5.8% to 11.9%) compared with 3.5% (CI, 2.7 to 4.3%) for those with a negative result.
False-positive or false-negative D-dimer results could have occurred due to the heterogeneity in duration of anticoagulation and timing of D-dimer testing among the various studies. Since none of the studies were blinded to a history of VTE, there is potential for outcome ascertainment bias due to studying a sample deemed susceptible to disease recurrence.
Bottom line: D-dimer testing holds promise in identifying risk of VTE recurrence and could aid therapeutic decision-making regarding duration of anticoagulation.
Citation: Ann Intern Med. 2008;149:481-490
–Reviewed for the eWire by Rebecca Allyn, MD, Smitha Chadaga, MD, Mary Dedecker, MD, Vignesh Narayanan, MD, Eugene S. Chu, MD, Division of Hospital Medicine, Denver Health and Hospital Authority
CPR for EHRs
The truth about EHR systems is that their implementation is never easy. It's a lot of work. It takes time and money, and despite the best laid plans there will be trauma and frustration. So expecting problems to arise is key to keeping perspective.
When our office implemented an electronic health records system in 2000, our system crashed 25–75 times a day for 5 months, and we lost patient data each time. I repeat: We lost patient data each time. Extensive troubleshooting ensued. Ceiling tiles were ripped out to see if the fluorescent lights were interfering with the network cables, a consultant was brought in, and our server and network were reinstalled. Finally, the cause of the crashes was determined to be a bug in our Microsoft program. As nightmarish as this situation was, I would say that such technology challenges were nothing compared to challenges in managing processes and people.
From a process perspective, a common mistake involves attempting to make the EHR system conform to what is done with paper. The whole point is to imagine a process that can help your office save time and money instead of mirroring what you did for years with a paper-based system.
Staff challenges are by far the toughest ones to manage because they require changing the minds and habits of individuals who don't feel comfortable giving up paper-based processes. Persistent naysayers can sabotage EHR implementation by convincing others that the changes cannot be made. Over the years, four of five staff members have left. When new staff members were hired, we emphasized the fact that our office was computerized and those individuals have successfully adapted to a paperless system. Among the lessons we've learned over the years are these:
▸ Don't skimp on training. When you're spending thousands of dollars on an EHR system it's tempting to shave costs and training may appear to be part of the discretionary spending budget. But giving training short shrift can cost you a lot more than you saved in the long run.
Even if you're the most technologically savvy physician, avoid the “I can do it all” mentality. Your time is best spent seeing patients and making money. Make sure that others are well trained so you feel comfortable delegating EHR responsibilities.
▸ Train the Luddites last. Once you've worked out all the kinks in the training process with those who are most comfortable using computers, it'll go a lot more smoothly for those who are less tech-savvy. Don't let anyone opt out of training. That can cost tens of thousands of dollars in the long run.
▸ Include everyone in brainstorming sessions. While no one likes meetings, get everyone involved in implementation meetings, not just the doctors and the office manager, because you will get good ideas from everyone. In addition, if they are involved in the brainstorming sessions, they are far more likely to adopt new behaviors.
▸ It doesn't have to be perfect. During the transition phase to an EHR system, there's a temptation to try to make everything perfect. Soon after we went live with our system, I spent a lot of time checking electronic charts to make sure the staff had included consultation notes. It was really a wasted step, because 99% of the time they had done it. In the rare event that the notes don't get into the chart, it doesn't affect patient care. The key is knowing when to accept a process as good enough and move on.
▸ Get a leader. You need a leader with a vision to organize the troubleshooting, both to build support and to keep everyone on track. The most common cause of EHR failure is lack of a leader.
The truth about EHR systems is that their implementation is never easy. It's a lot of work. It takes time and money, and despite the best laid plans there will be trauma and frustration. So expecting problems to arise is key to keeping perspective.
When our office implemented an electronic health records system in 2000, our system crashed 25–75 times a day for 5 months, and we lost patient data each time. I repeat: We lost patient data each time. Extensive troubleshooting ensued. Ceiling tiles were ripped out to see if the fluorescent lights were interfering with the network cables, a consultant was brought in, and our server and network were reinstalled. Finally, the cause of the crashes was determined to be a bug in our Microsoft program. As nightmarish as this situation was, I would say that such technology challenges were nothing compared to challenges in managing processes and people.
From a process perspective, a common mistake involves attempting to make the EHR system conform to what is done with paper. The whole point is to imagine a process that can help your office save time and money instead of mirroring what you did for years with a paper-based system.
Staff challenges are by far the toughest ones to manage because they require changing the minds and habits of individuals who don't feel comfortable giving up paper-based processes. Persistent naysayers can sabotage EHR implementation by convincing others that the changes cannot be made. Over the years, four of five staff members have left. When new staff members were hired, we emphasized the fact that our office was computerized and those individuals have successfully adapted to a paperless system. Among the lessons we've learned over the years are these:
▸ Don't skimp on training. When you're spending thousands of dollars on an EHR system it's tempting to shave costs and training may appear to be part of the discretionary spending budget. But giving training short shrift can cost you a lot more than you saved in the long run.
Even if you're the most technologically savvy physician, avoid the “I can do it all” mentality. Your time is best spent seeing patients and making money. Make sure that others are well trained so you feel comfortable delegating EHR responsibilities.
▸ Train the Luddites last. Once you've worked out all the kinks in the training process with those who are most comfortable using computers, it'll go a lot more smoothly for those who are less tech-savvy. Don't let anyone opt out of training. That can cost tens of thousands of dollars in the long run.
▸ Include everyone in brainstorming sessions. While no one likes meetings, get everyone involved in implementation meetings, not just the doctors and the office manager, because you will get good ideas from everyone. In addition, if they are involved in the brainstorming sessions, they are far more likely to adopt new behaviors.
▸ It doesn't have to be perfect. During the transition phase to an EHR system, there's a temptation to try to make everything perfect. Soon after we went live with our system, I spent a lot of time checking electronic charts to make sure the staff had included consultation notes. It was really a wasted step, because 99% of the time they had done it. In the rare event that the notes don't get into the chart, it doesn't affect patient care. The key is knowing when to accept a process as good enough and move on.
▸ Get a leader. You need a leader with a vision to organize the troubleshooting, both to build support and to keep everyone on track. The most common cause of EHR failure is lack of a leader.
The truth about EHR systems is that their implementation is never easy. It's a lot of work. It takes time and money, and despite the best laid plans there will be trauma and frustration. So expecting problems to arise is key to keeping perspective.
When our office implemented an electronic health records system in 2000, our system crashed 25–75 times a day for 5 months, and we lost patient data each time. I repeat: We lost patient data each time. Extensive troubleshooting ensued. Ceiling tiles were ripped out to see if the fluorescent lights were interfering with the network cables, a consultant was brought in, and our server and network were reinstalled. Finally, the cause of the crashes was determined to be a bug in our Microsoft program. As nightmarish as this situation was, I would say that such technology challenges were nothing compared to challenges in managing processes and people.
From a process perspective, a common mistake involves attempting to make the EHR system conform to what is done with paper. The whole point is to imagine a process that can help your office save time and money instead of mirroring what you did for years with a paper-based system.
Staff challenges are by far the toughest ones to manage because they require changing the minds and habits of individuals who don't feel comfortable giving up paper-based processes. Persistent naysayers can sabotage EHR implementation by convincing others that the changes cannot be made. Over the years, four of five staff members have left. When new staff members were hired, we emphasized the fact that our office was computerized and those individuals have successfully adapted to a paperless system. Among the lessons we've learned over the years are these:
▸ Don't skimp on training. When you're spending thousands of dollars on an EHR system it's tempting to shave costs and training may appear to be part of the discretionary spending budget. But giving training short shrift can cost you a lot more than you saved in the long run.
Even if you're the most technologically savvy physician, avoid the “I can do it all” mentality. Your time is best spent seeing patients and making money. Make sure that others are well trained so you feel comfortable delegating EHR responsibilities.
▸ Train the Luddites last. Once you've worked out all the kinks in the training process with those who are most comfortable using computers, it'll go a lot more smoothly for those who are less tech-savvy. Don't let anyone opt out of training. That can cost tens of thousands of dollars in the long run.
▸ Include everyone in brainstorming sessions. While no one likes meetings, get everyone involved in implementation meetings, not just the doctors and the office manager, because you will get good ideas from everyone. In addition, if they are involved in the brainstorming sessions, they are far more likely to adopt new behaviors.
▸ It doesn't have to be perfect. During the transition phase to an EHR system, there's a temptation to try to make everything perfect. Soon after we went live with our system, I spent a lot of time checking electronic charts to make sure the staff had included consultation notes. It was really a wasted step, because 99% of the time they had done it. In the rare event that the notes don't get into the chart, it doesn't affect patient care. The key is knowing when to accept a process as good enough and move on.
▸ Get a leader. You need a leader with a vision to organize the troubleshooting, both to build support and to keep everyone on track. The most common cause of EHR failure is lack of a leader.
A New Revenue Source?
A recently expanded palliative care program at University Hospital in Salt Lake City is the latest window into ancillary revenue streams hospitalists can tap during the continuing economic crisis.
Stephen Bekanich, MD, a hospitalist and medical director of the Utah center's palliative-care team, says his program saves money for the hospital and increases the value of its hospitalists. In October, Dr. Bekanich's team expanded into outpatient clinic treatment one half-day a week. While he plans to study the revenue generated through that month before expanding further, Dr. Bekanich thinks palliative-care teams are a strong revenue source for hospitalists.
"It’s a natural tie-in," he says. "The people that probably win the most with having palliative care established within the hospital is the hospital itself. We see that in our patient satisfaction."
Palliative care can lower hospital expenditures by cutting down on costly procedures that may not improve a patient's quality of life, as well as by trimming lengths of stay, Dr. Bekanich says. In the first half of 2008, Dr. Bekanich's team saved University Hospital about $600,000. The team’s 2008 budget was roughly $330,000 for about 500 encounters.
There are obstacles, though. Because palliative care is a recognized specialty, starting a program requires a hospitalist who is willing—and able—to become certified and hospital administration willing to front expenditures.
"The idea of starting this from scratch is going to become more difficult," Dr. Bekanich says, "but it’s worthwhile."
A recently expanded palliative care program at University Hospital in Salt Lake City is the latest window into ancillary revenue streams hospitalists can tap during the continuing economic crisis.
Stephen Bekanich, MD, a hospitalist and medical director of the Utah center's palliative-care team, says his program saves money for the hospital and increases the value of its hospitalists. In October, Dr. Bekanich's team expanded into outpatient clinic treatment one half-day a week. While he plans to study the revenue generated through that month before expanding further, Dr. Bekanich thinks palliative-care teams are a strong revenue source for hospitalists.
"It’s a natural tie-in," he says. "The people that probably win the most with having palliative care established within the hospital is the hospital itself. We see that in our patient satisfaction."
Palliative care can lower hospital expenditures by cutting down on costly procedures that may not improve a patient's quality of life, as well as by trimming lengths of stay, Dr. Bekanich says. In the first half of 2008, Dr. Bekanich's team saved University Hospital about $600,000. The team’s 2008 budget was roughly $330,000 for about 500 encounters.
There are obstacles, though. Because palliative care is a recognized specialty, starting a program requires a hospitalist who is willing—and able—to become certified and hospital administration willing to front expenditures.
"The idea of starting this from scratch is going to become more difficult," Dr. Bekanich says, "but it’s worthwhile."
A recently expanded palliative care program at University Hospital in Salt Lake City is the latest window into ancillary revenue streams hospitalists can tap during the continuing economic crisis.
Stephen Bekanich, MD, a hospitalist and medical director of the Utah center's palliative-care team, says his program saves money for the hospital and increases the value of its hospitalists. In October, Dr. Bekanich's team expanded into outpatient clinic treatment one half-day a week. While he plans to study the revenue generated through that month before expanding further, Dr. Bekanich thinks palliative-care teams are a strong revenue source for hospitalists.
"It’s a natural tie-in," he says. "The people that probably win the most with having palliative care established within the hospital is the hospital itself. We see that in our patient satisfaction."
Palliative care can lower hospital expenditures by cutting down on costly procedures that may not improve a patient's quality of life, as well as by trimming lengths of stay, Dr. Bekanich says. In the first half of 2008, Dr. Bekanich's team saved University Hospital about $600,000. The team’s 2008 budget was roughly $330,000 for about 500 encounters.
There are obstacles, though. Because palliative care is a recognized specialty, starting a program requires a hospitalist who is willing—and able—to become certified and hospital administration willing to front expenditures.
"The idea of starting this from scratch is going to become more difficult," Dr. Bekanich says, "but it’s worthwhile."
Ringing in the New Year
Garth King, MD, a hospitalist and medical director at Southwest General Medical Center in Lafayette, La., wasn’t surprised he was treating an inebriated 17-year-old who came to the hospital with his mother this past New Year's Eve. The intoxicated 14-year-old who came in shortly after, however, did throw him slightly off guard.
"We usually just send them to the emergency room, where they are monitored," Dr. King says. "It's a waste of resources to admit them."
Kenneth Patrick, MD, a hospitalist and ICU director at Chestnut Hill Hospital in Philadelphia, says alcohol-related conditions, including gastritis and pancreatitis, are the most common cases he sees on New Year's Eve and New Year's Day. The second-most common, he says, are fractures caused by slipping on ice or snow.
"New Year's Day is the busiest day of the year for inpatients," Dr. Patrick says.
National data on daily hospital visits don't exist, but Dr. King agrees with Dr. Patrick's assessment. He says the number of patients his group normally sees doubles between Christmas Eve and New Year’s Day. "In residency, I remember this would happen," he says. "It would seem like family members would bring in their family members, just because."
If you are one of the unfortunate members of your HM group scheduled to work next holiday season, Dr. Patrick offers a little advice: "Stay well-hydrated and get lots of rest, because you will be busy."
Garth King, MD, a hospitalist and medical director at Southwest General Medical Center in Lafayette, La., wasn’t surprised he was treating an inebriated 17-year-old who came to the hospital with his mother this past New Year's Eve. The intoxicated 14-year-old who came in shortly after, however, did throw him slightly off guard.
"We usually just send them to the emergency room, where they are monitored," Dr. King says. "It's a waste of resources to admit them."
Kenneth Patrick, MD, a hospitalist and ICU director at Chestnut Hill Hospital in Philadelphia, says alcohol-related conditions, including gastritis and pancreatitis, are the most common cases he sees on New Year's Eve and New Year's Day. The second-most common, he says, are fractures caused by slipping on ice or snow.
"New Year's Day is the busiest day of the year for inpatients," Dr. Patrick says.
National data on daily hospital visits don't exist, but Dr. King agrees with Dr. Patrick's assessment. He says the number of patients his group normally sees doubles between Christmas Eve and New Year’s Day. "In residency, I remember this would happen," he says. "It would seem like family members would bring in their family members, just because."
If you are one of the unfortunate members of your HM group scheduled to work next holiday season, Dr. Patrick offers a little advice: "Stay well-hydrated and get lots of rest, because you will be busy."
Garth King, MD, a hospitalist and medical director at Southwest General Medical Center in Lafayette, La., wasn’t surprised he was treating an inebriated 17-year-old who came to the hospital with his mother this past New Year's Eve. The intoxicated 14-year-old who came in shortly after, however, did throw him slightly off guard.
"We usually just send them to the emergency room, where they are monitored," Dr. King says. "It's a waste of resources to admit them."
Kenneth Patrick, MD, a hospitalist and ICU director at Chestnut Hill Hospital in Philadelphia, says alcohol-related conditions, including gastritis and pancreatitis, are the most common cases he sees on New Year's Eve and New Year's Day. The second-most common, he says, are fractures caused by slipping on ice or snow.
"New Year's Day is the busiest day of the year for inpatients," Dr. Patrick says.
National data on daily hospital visits don't exist, but Dr. King agrees with Dr. Patrick's assessment. He says the number of patients his group normally sees doubles between Christmas Eve and New Year’s Day. "In residency, I remember this would happen," he says. "It would seem like family members would bring in their family members, just because."
If you are one of the unfortunate members of your HM group scheduled to work next holiday season, Dr. Patrick offers a little advice: "Stay well-hydrated and get lots of rest, because you will be busy."
Methicillin‐resistant Staphylococcus aureus bacteremia due to prostatic abscess
Community‐associated methicillin‐resistant Staphylococcus aureus (MRSA) infection is an evolving disease that is changing medical practice. MRSA has become the most frequent cause of skin and soft‐tissue infections presenting to most emergency departments in the United States.1 In comparison with methicillin‐sensitive S. aureus, community‐associated MRSA is more likely to present as soft‐tissue abscesses or necrotizing pneumonia.2 In 2005 alone, 94,360 invasive MRSA infections were estimated to have occurred in the United States, most of which were associated with MRSA bacteremia.3 In the hospital, MRSA infections are associated with greater lengths of stay, higher mortality, and increased costs.3
We report a patient with persistent MRSA bacteremia due to a prostatic abscess. Prostatitis or prostatic abscess with MRSA has rarely been reported. Resolution of the bacteremia was achieved only after drainage of the abscess. This case highlights the importance of recognizing this clinical condition and draining any MRSA‐associated abscesses. In addition, the abscess‐forming characteristics of MRSA may suggest that the incidence of prostatic abscess due to this microbe is on the rise.
CASE REPORT
A 40‐year‐old human immunodeficiency viruspositive man presented with a 10‐day history of intermittent fever, urinary hesitancy, weak urinary stream, and intermittent abdominal pain relieved following urination. He denied dysuria, hematuria, chest pain, dyspnea, nausea, weight loss, diarrhea, or decreased functional status. His last CD4 count was 528/L on highly active antiretroviral therapy 1 year prior to presentation; however, he had run out of medications several months prior to presentation. His medical history was also significant for incision and drainage of skin abscesses with unknown microbiology several months prior to presentation. He currently used tobacco but denied illicit drug use. He was sexually abstinent for over a year prior to presentation but had a history of having unprotected sex with men.
On physical examination, his vital signs were as follows: temperature, 37.8C; blood pressure, 133/84 mm Hg; heart rate, 107 beats/minute; respiration rate, 16 breaths/minute; and oxygen saturation, 100% on room air. He was under no distress. His heart sound was tachycardic and regular with no murmur noted. Lung sounds were clear. Abdominal examination revealed no tenderness or organomegaly. His prostate was boggy, minimally tender, and slightly enlarged. The rest of his physical examination was normal. The white blood cell count was 7.5 109/L with 79% neutrophils. The serum chemistry was normal. The prostate‐specific antigen level was 2.9 ng/mL. A repeat CD4 count was 140/L. Urinalysis revealed large leukocyte esterase, no nitrites, and 60 white blood cells per high‐power field. He was diagnosed with prostatitis and discharged on levofloxacin.
The subsequent day, he returned to the emergency department with an inability to void. A Foley catheter was placed with resolution of his symptoms. Later that day, blood cultures from his initial admission grew MRSA in 2 out of 4 bottles, and he was admitted to the hospital. A review of the prior urine culture showed no growth. Computed tomography (CT) of the abdomen and pelvis showed an enlarged prostate with multiple noncommunicating peripherally enhancing hypodensities consistent with prostatic abscesses (arrows in Figure 1). These abscesses were associated with periprostatic fat stranding, edematous seminal vesicles, diffuse urinary bladder wall thickening, and mild inguinal adenopathy. Therapy with intravenous vancomycin was initiated.

Over the next 6 days, the patient continued to have intermittent fevers. Blood cultures continued to grow MRSA. Gentamicin was added for possible synergy on hospital day 3 without improvement. A transesophageal echocardiogram was normal. On hospital day 6, repeat CT showed no change in the size of the prostatic abscesses but an increased capsular bulge along the right mid gland. The urology service was consulted. They performed bedside transperineal drainage of the largest abscess with transrectal ultrasound guidance. No indwelling drain was placed. A culture of the purulent drainage grew MRSA. Three days after the surgical drainage, the patient was afebrile, urinary symptoms had resolved, and serial blood cultures remained negative. He was discharged on hospital day 13 to complete a 4‐week course of intravenous vancomycin. The patient missed an appointment for follow‐up imaging.
DISCUSSION
We report a case of community‐associated MRSA bacteremia secondary to a prostatic abscess, as confirmed by cultures from serum and of the abscess. S. aureus bacteremia often stems from infections of the respiratory tract, skin, and soft tissues, endocarditis, or infections of indwelling devices.4S. aureus can then create embolic foci, including in the prostate, which can serve as sources of persistent bacteremia. However, new evidence suggests community‐associated MRSA might be sexually transmitted among men who have sex with men.5 An MRSA prostatic abscess could then potentially be related to an ascending urinary tract infection or translocation from the gastrointestinal tract.
The vast majority of prostatitis cases prostatic abscesses are caused by Escherichia coli and other gram‐negative bacilli.6 Staphylococcus species are less common, and MRSA isolates have been described as a rare etiologic agent. Only four other case reports describing MRSA bacteremia associated with prostatitis or prostatic abscesses have been published.710 Both our patient and the three other case reports in the literature with prostatic abscesses and MRSA bacteremia required drainage of the abscess as well as antibiotics for resolution. The other reported cases involved drainage by transurethral resection of the prostate,79 whereas our case used transperineal drainage of the prostatic abscess via transrectal ultrasound guidance. In addition to intravenous antibiotics, drainage appears to be a key therapeutic measure for resolution of MRSA prostatic abscesses.
With the increasing incidence of community‐associated and healthcare‐associated MRSA infections, the incidence of prostatitis or prostatic abscesses secondary to MRSA may be increasing. MRSA seems to have a specific predilection for abscess formation in skin and soft‐tissue infections and pneumonia.2 Clinicians must be alert to a potentially higher frequency of MRSA as a cause of prostatic abscesses and prostatitis.
In the evaluation of a patient with persistent MRSA bacteremia, the potential for the prostate as a source of infection should be considered. Urinary symptoms may be subtle. Clinicians should have a low threshold for imaging studies such as CT to evaluate for a possible source of MRSA bacteremia. If a prostatic abscess is found, prompt surgical drainage or debridement is necessary for cure.
- Methicillin‐resistant S. aureus infections among patients in the emergency department.N Engl J Med.2006;355:666–674. , , , et al.
- Comparison of both clinical features and mortality risk associated with bacteremia due to community‐acquired methicillin‐resistant Staphylococcus aureus and methicillin‐susceptible S. aureus.Clin Infect Dis.2008;46:799–806. , , , et al.
- Invasive methicillin‐resistant Staphylococcus aureus infections in the United States.JAMA.2007;298:1763–1771. , , , et al.
- The current spectrum of Staphylococcus aureus infection in a tertiary care hospital.Medicine (Baltimore).1994;73:186–208. , , , , , .
- Emergence of multidrug‐resistant, community‐associated, methicillin‐resistant Staphylococcus aureus clone USA300 in men who have sex with men.Ann Intern Med.2008;148:249–257. , , , et al.
- Prostatic abscess in the antibiotic era.Rev Infect Dis.1988;10:239–249. , , , et al.
- Community‐acquired methicillin‐resistant Staphylococcus aureus prostatic abscess.Urology.2004;64:808–810. , , .
- Persistent methicillin‐resistant Staphylococcus aureus bacteremia due to a prostatic abscess.Scand J Infect Dis.2003;35:273–274. , , .
- Dual perinephric and prostatic abscesses from methicillin resistant Staphylococcus aureus.South Med J.2007;100:515–516. , .
- Methicillin‐resistant Staphylococcus aureus prostatitis.Urology.2007;69:779.e1–779.e3. , .
Community‐associated methicillin‐resistant Staphylococcus aureus (MRSA) infection is an evolving disease that is changing medical practice. MRSA has become the most frequent cause of skin and soft‐tissue infections presenting to most emergency departments in the United States.1 In comparison with methicillin‐sensitive S. aureus, community‐associated MRSA is more likely to present as soft‐tissue abscesses or necrotizing pneumonia.2 In 2005 alone, 94,360 invasive MRSA infections were estimated to have occurred in the United States, most of which were associated with MRSA bacteremia.3 In the hospital, MRSA infections are associated with greater lengths of stay, higher mortality, and increased costs.3
We report a patient with persistent MRSA bacteremia due to a prostatic abscess. Prostatitis or prostatic abscess with MRSA has rarely been reported. Resolution of the bacteremia was achieved only after drainage of the abscess. This case highlights the importance of recognizing this clinical condition and draining any MRSA‐associated abscesses. In addition, the abscess‐forming characteristics of MRSA may suggest that the incidence of prostatic abscess due to this microbe is on the rise.
CASE REPORT
A 40‐year‐old human immunodeficiency viruspositive man presented with a 10‐day history of intermittent fever, urinary hesitancy, weak urinary stream, and intermittent abdominal pain relieved following urination. He denied dysuria, hematuria, chest pain, dyspnea, nausea, weight loss, diarrhea, or decreased functional status. His last CD4 count was 528/L on highly active antiretroviral therapy 1 year prior to presentation; however, he had run out of medications several months prior to presentation. His medical history was also significant for incision and drainage of skin abscesses with unknown microbiology several months prior to presentation. He currently used tobacco but denied illicit drug use. He was sexually abstinent for over a year prior to presentation but had a history of having unprotected sex with men.
On physical examination, his vital signs were as follows: temperature, 37.8C; blood pressure, 133/84 mm Hg; heart rate, 107 beats/minute; respiration rate, 16 breaths/minute; and oxygen saturation, 100% on room air. He was under no distress. His heart sound was tachycardic and regular with no murmur noted. Lung sounds were clear. Abdominal examination revealed no tenderness or organomegaly. His prostate was boggy, minimally tender, and slightly enlarged. The rest of his physical examination was normal. The white blood cell count was 7.5 109/L with 79% neutrophils. The serum chemistry was normal. The prostate‐specific antigen level was 2.9 ng/mL. A repeat CD4 count was 140/L. Urinalysis revealed large leukocyte esterase, no nitrites, and 60 white blood cells per high‐power field. He was diagnosed with prostatitis and discharged on levofloxacin.
The subsequent day, he returned to the emergency department with an inability to void. A Foley catheter was placed with resolution of his symptoms. Later that day, blood cultures from his initial admission grew MRSA in 2 out of 4 bottles, and he was admitted to the hospital. A review of the prior urine culture showed no growth. Computed tomography (CT) of the abdomen and pelvis showed an enlarged prostate with multiple noncommunicating peripherally enhancing hypodensities consistent with prostatic abscesses (arrows in Figure 1). These abscesses were associated with periprostatic fat stranding, edematous seminal vesicles, diffuse urinary bladder wall thickening, and mild inguinal adenopathy. Therapy with intravenous vancomycin was initiated.

Over the next 6 days, the patient continued to have intermittent fevers. Blood cultures continued to grow MRSA. Gentamicin was added for possible synergy on hospital day 3 without improvement. A transesophageal echocardiogram was normal. On hospital day 6, repeat CT showed no change in the size of the prostatic abscesses but an increased capsular bulge along the right mid gland. The urology service was consulted. They performed bedside transperineal drainage of the largest abscess with transrectal ultrasound guidance. No indwelling drain was placed. A culture of the purulent drainage grew MRSA. Three days after the surgical drainage, the patient was afebrile, urinary symptoms had resolved, and serial blood cultures remained negative. He was discharged on hospital day 13 to complete a 4‐week course of intravenous vancomycin. The patient missed an appointment for follow‐up imaging.
DISCUSSION
We report a case of community‐associated MRSA bacteremia secondary to a prostatic abscess, as confirmed by cultures from serum and of the abscess. S. aureus bacteremia often stems from infections of the respiratory tract, skin, and soft tissues, endocarditis, or infections of indwelling devices.4S. aureus can then create embolic foci, including in the prostate, which can serve as sources of persistent bacteremia. However, new evidence suggests community‐associated MRSA might be sexually transmitted among men who have sex with men.5 An MRSA prostatic abscess could then potentially be related to an ascending urinary tract infection or translocation from the gastrointestinal tract.
The vast majority of prostatitis cases prostatic abscesses are caused by Escherichia coli and other gram‐negative bacilli.6 Staphylococcus species are less common, and MRSA isolates have been described as a rare etiologic agent. Only four other case reports describing MRSA bacteremia associated with prostatitis or prostatic abscesses have been published.710 Both our patient and the three other case reports in the literature with prostatic abscesses and MRSA bacteremia required drainage of the abscess as well as antibiotics for resolution. The other reported cases involved drainage by transurethral resection of the prostate,79 whereas our case used transperineal drainage of the prostatic abscess via transrectal ultrasound guidance. In addition to intravenous antibiotics, drainage appears to be a key therapeutic measure for resolution of MRSA prostatic abscesses.
With the increasing incidence of community‐associated and healthcare‐associated MRSA infections, the incidence of prostatitis or prostatic abscesses secondary to MRSA may be increasing. MRSA seems to have a specific predilection for abscess formation in skin and soft‐tissue infections and pneumonia.2 Clinicians must be alert to a potentially higher frequency of MRSA as a cause of prostatic abscesses and prostatitis.
In the evaluation of a patient with persistent MRSA bacteremia, the potential for the prostate as a source of infection should be considered. Urinary symptoms may be subtle. Clinicians should have a low threshold for imaging studies such as CT to evaluate for a possible source of MRSA bacteremia. If a prostatic abscess is found, prompt surgical drainage or debridement is necessary for cure.
Community‐associated methicillin‐resistant Staphylococcus aureus (MRSA) infection is an evolving disease that is changing medical practice. MRSA has become the most frequent cause of skin and soft‐tissue infections presenting to most emergency departments in the United States.1 In comparison with methicillin‐sensitive S. aureus, community‐associated MRSA is more likely to present as soft‐tissue abscesses or necrotizing pneumonia.2 In 2005 alone, 94,360 invasive MRSA infections were estimated to have occurred in the United States, most of which were associated with MRSA bacteremia.3 In the hospital, MRSA infections are associated with greater lengths of stay, higher mortality, and increased costs.3
We report a patient with persistent MRSA bacteremia due to a prostatic abscess. Prostatitis or prostatic abscess with MRSA has rarely been reported. Resolution of the bacteremia was achieved only after drainage of the abscess. This case highlights the importance of recognizing this clinical condition and draining any MRSA‐associated abscesses. In addition, the abscess‐forming characteristics of MRSA may suggest that the incidence of prostatic abscess due to this microbe is on the rise.
CASE REPORT
A 40‐year‐old human immunodeficiency viruspositive man presented with a 10‐day history of intermittent fever, urinary hesitancy, weak urinary stream, and intermittent abdominal pain relieved following urination. He denied dysuria, hematuria, chest pain, dyspnea, nausea, weight loss, diarrhea, or decreased functional status. His last CD4 count was 528/L on highly active antiretroviral therapy 1 year prior to presentation; however, he had run out of medications several months prior to presentation. His medical history was also significant for incision and drainage of skin abscesses with unknown microbiology several months prior to presentation. He currently used tobacco but denied illicit drug use. He was sexually abstinent for over a year prior to presentation but had a history of having unprotected sex with men.
On physical examination, his vital signs were as follows: temperature, 37.8C; blood pressure, 133/84 mm Hg; heart rate, 107 beats/minute; respiration rate, 16 breaths/minute; and oxygen saturation, 100% on room air. He was under no distress. His heart sound was tachycardic and regular with no murmur noted. Lung sounds were clear. Abdominal examination revealed no tenderness or organomegaly. His prostate was boggy, minimally tender, and slightly enlarged. The rest of his physical examination was normal. The white blood cell count was 7.5 109/L with 79% neutrophils. The serum chemistry was normal. The prostate‐specific antigen level was 2.9 ng/mL. A repeat CD4 count was 140/L. Urinalysis revealed large leukocyte esterase, no nitrites, and 60 white blood cells per high‐power field. He was diagnosed with prostatitis and discharged on levofloxacin.
The subsequent day, he returned to the emergency department with an inability to void. A Foley catheter was placed with resolution of his symptoms. Later that day, blood cultures from his initial admission grew MRSA in 2 out of 4 bottles, and he was admitted to the hospital. A review of the prior urine culture showed no growth. Computed tomography (CT) of the abdomen and pelvis showed an enlarged prostate with multiple noncommunicating peripherally enhancing hypodensities consistent with prostatic abscesses (arrows in Figure 1). These abscesses were associated with periprostatic fat stranding, edematous seminal vesicles, diffuse urinary bladder wall thickening, and mild inguinal adenopathy. Therapy with intravenous vancomycin was initiated.

Over the next 6 days, the patient continued to have intermittent fevers. Blood cultures continued to grow MRSA. Gentamicin was added for possible synergy on hospital day 3 without improvement. A transesophageal echocardiogram was normal. On hospital day 6, repeat CT showed no change in the size of the prostatic abscesses but an increased capsular bulge along the right mid gland. The urology service was consulted. They performed bedside transperineal drainage of the largest abscess with transrectal ultrasound guidance. No indwelling drain was placed. A culture of the purulent drainage grew MRSA. Three days after the surgical drainage, the patient was afebrile, urinary symptoms had resolved, and serial blood cultures remained negative. He was discharged on hospital day 13 to complete a 4‐week course of intravenous vancomycin. The patient missed an appointment for follow‐up imaging.
DISCUSSION
We report a case of community‐associated MRSA bacteremia secondary to a prostatic abscess, as confirmed by cultures from serum and of the abscess. S. aureus bacteremia often stems from infections of the respiratory tract, skin, and soft tissues, endocarditis, or infections of indwelling devices.4S. aureus can then create embolic foci, including in the prostate, which can serve as sources of persistent bacteremia. However, new evidence suggests community‐associated MRSA might be sexually transmitted among men who have sex with men.5 An MRSA prostatic abscess could then potentially be related to an ascending urinary tract infection or translocation from the gastrointestinal tract.
The vast majority of prostatitis cases prostatic abscesses are caused by Escherichia coli and other gram‐negative bacilli.6 Staphylococcus species are less common, and MRSA isolates have been described as a rare etiologic agent. Only four other case reports describing MRSA bacteremia associated with prostatitis or prostatic abscesses have been published.710 Both our patient and the three other case reports in the literature with prostatic abscesses and MRSA bacteremia required drainage of the abscess as well as antibiotics for resolution. The other reported cases involved drainage by transurethral resection of the prostate,79 whereas our case used transperineal drainage of the prostatic abscess via transrectal ultrasound guidance. In addition to intravenous antibiotics, drainage appears to be a key therapeutic measure for resolution of MRSA prostatic abscesses.
With the increasing incidence of community‐associated and healthcare‐associated MRSA infections, the incidence of prostatitis or prostatic abscesses secondary to MRSA may be increasing. MRSA seems to have a specific predilection for abscess formation in skin and soft‐tissue infections and pneumonia.2 Clinicians must be alert to a potentially higher frequency of MRSA as a cause of prostatic abscesses and prostatitis.
In the evaluation of a patient with persistent MRSA bacteremia, the potential for the prostate as a source of infection should be considered. Urinary symptoms may be subtle. Clinicians should have a low threshold for imaging studies such as CT to evaluate for a possible source of MRSA bacteremia. If a prostatic abscess is found, prompt surgical drainage or debridement is necessary for cure.
- Methicillin‐resistant S. aureus infections among patients in the emergency department.N Engl J Med.2006;355:666–674. , , , et al.
- Comparison of both clinical features and mortality risk associated with bacteremia due to community‐acquired methicillin‐resistant Staphylococcus aureus and methicillin‐susceptible S. aureus.Clin Infect Dis.2008;46:799–806. , , , et al.
- Invasive methicillin‐resistant Staphylococcus aureus infections in the United States.JAMA.2007;298:1763–1771. , , , et al.
- The current spectrum of Staphylococcus aureus infection in a tertiary care hospital.Medicine (Baltimore).1994;73:186–208. , , , , , .
- Emergence of multidrug‐resistant, community‐associated, methicillin‐resistant Staphylococcus aureus clone USA300 in men who have sex with men.Ann Intern Med.2008;148:249–257. , , , et al.
- Prostatic abscess in the antibiotic era.Rev Infect Dis.1988;10:239–249. , , , et al.
- Community‐acquired methicillin‐resistant Staphylococcus aureus prostatic abscess.Urology.2004;64:808–810. , , .
- Persistent methicillin‐resistant Staphylococcus aureus bacteremia due to a prostatic abscess.Scand J Infect Dis.2003;35:273–274. , , .
- Dual perinephric and prostatic abscesses from methicillin resistant Staphylococcus aureus.South Med J.2007;100:515–516. , .
- Methicillin‐resistant Staphylococcus aureus prostatitis.Urology.2007;69:779.e1–779.e3. , .
- Methicillin‐resistant S. aureus infections among patients in the emergency department.N Engl J Med.2006;355:666–674. , , , et al.
- Comparison of both clinical features and mortality risk associated with bacteremia due to community‐acquired methicillin‐resistant Staphylococcus aureus and methicillin‐susceptible S. aureus.Clin Infect Dis.2008;46:799–806. , , , et al.
- Invasive methicillin‐resistant Staphylococcus aureus infections in the United States.JAMA.2007;298:1763–1771. , , , et al.
- The current spectrum of Staphylococcus aureus infection in a tertiary care hospital.Medicine (Baltimore).1994;73:186–208. , , , , , .
- Emergence of multidrug‐resistant, community‐associated, methicillin‐resistant Staphylococcus aureus clone USA300 in men who have sex with men.Ann Intern Med.2008;148:249–257. , , , et al.
- Prostatic abscess in the antibiotic era.Rev Infect Dis.1988;10:239–249. , , , et al.
- Community‐acquired methicillin‐resistant Staphylococcus aureus prostatic abscess.Urology.2004;64:808–810. , , .
- Persistent methicillin‐resistant Staphylococcus aureus bacteremia due to a prostatic abscess.Scand J Infect Dis.2003;35:273–274. , , .
- Dual perinephric and prostatic abscesses from methicillin resistant Staphylococcus aureus.South Med J.2007;100:515–516. , .
- Methicillin‐resistant Staphylococcus aureus prostatitis.Urology.2007;69:779.e1–779.e3. , .
Calcinosis universalis
A 38‐year‐old woman with juvenile dermatomyositis (JDM) and calcinosis universalis presented with 3 days of drainage from a lesion on her right elbow. An examination of the elbow revealed diffuse and firm subcutaneous nodules with overlying erythema. X‐rays illustrated soft‐tissue calcifications in the forearm and elbow without evidence of osteomyelitis (Figure 1). Wound cultures grew Staphylococcus aureus, and the patient was started on intravenous antibiotics for abscess treatment.

Calcinosis universalis is soft‐tissue calcification presenting as a complication of JDM. It is often detected in childhood in 30% to 70% of patients. It is hypothesized that calcinosis is due to chronic tissue inflammation, as seen in JDM, leading to muscle damage, releasing calcium, and inducing mineralization. Calcinosis universalis often presents as calcified nodules and plaques in areas of repeated trauma, such as joints, extremities, and buttocks (Figures 13). Calcification is localized in subcutaneous tissue, fascial planes, tendons, or intramuscular areas. It can cause debilitating secondary complications such as skin ulcerations expressing calcified material, superimposed infections of skin lesions, joint contractures with severe arthralgias, and muscle atrophy. Calcinosis has been correlated with severity of JDM with presence of cardiac involvement and use of more than one immunosuppression medication.1 It has also been associated with the degree of vasculopathy and delay in initiation of therapy for controlling inflammation in JDM.2
Soft‐tissue calcification can be classified into 5 categories:
-
Dystrophic calcification occurs in injured tissues with normal calcium, phosphorus, and parathyroid hormone levels, as seen in this patient. Calcified nodules or plaques occur in the extremities and buttocks. This is most often seen in JDM, scleroderma, and systemic lupus erythematosus.
-
Metastatic calcification affects normal tissues with abnormal levels of calcium and phosphorus. It is seen in large joints as well as arteries and visceral organs. It is associated with hyperparathyroidism, hypervitaminosis D, and malignancies.
-
Calciphylaxis with abnormal calcium and phosphorus metabolism causes small‐vessel calcification in patients with chronic renal failure.
-
Tumoral calcification is a familial condition with normal calcium levels but elevated phosphorus levels. Large subcutaneous calcifications are seen near high‐pressure areas and joints.
-
Idiopathic calcification is seen in healthy children and young adults with normal calcium metabolism and appears as multiple subcutaneous calcifications.2


Although multiple therapeutic options have been tried for the management or prevention of calcinosis, there is currently no accepted standard of treatment. In patients with calcinosis, warfarin, probenecid, colchicine, bisphosphonates, minocycline, diltiazem, aluminum hydroxide, corticosteroids, and salicylate have been attempted with variable results. Other therapeutic options include carbon dioxide laser treatments and surgical excision of large plaques. Decreasing muscle inflammation with aggressive treatment of JDM may improve outcomes and decrease the incidence of calcification.3 Unfortunately, once calcinosis has occurred, it is highly refractory to medical therapy.
Calcinosis universalis can lead to severe functional impairment. It can be distinguished from other types of calcinosis by diffuse involvement of muscle and fascia in connective tissue disease with normal calcium and phosphorus levels. New management modalities such as cyclosporine, intravenous immunoglobulin, and tumor necrosis factor alpha inhibitors are currently being evaluated.
- Risk factors associated with calcinosis of juvenile dermatomyositis.JPediatr (Rio J).2008;84(1):68–74. , , , et al.
- Calcinosis in rheumatic diseases.Semin Arthritis Rheum.2005;34(6):805–812. , , , .
- Aggressive management of juvenile dermatomyositis results in improved outcome and decreased incidence of calcinosis.J Am Acad Dermatol.2002;47(4):505–511. , , , et al.
A 38‐year‐old woman with juvenile dermatomyositis (JDM) and calcinosis universalis presented with 3 days of drainage from a lesion on her right elbow. An examination of the elbow revealed diffuse and firm subcutaneous nodules with overlying erythema. X‐rays illustrated soft‐tissue calcifications in the forearm and elbow without evidence of osteomyelitis (Figure 1). Wound cultures grew Staphylococcus aureus, and the patient was started on intravenous antibiotics for abscess treatment.

Calcinosis universalis is soft‐tissue calcification presenting as a complication of JDM. It is often detected in childhood in 30% to 70% of patients. It is hypothesized that calcinosis is due to chronic tissue inflammation, as seen in JDM, leading to muscle damage, releasing calcium, and inducing mineralization. Calcinosis universalis often presents as calcified nodules and plaques in areas of repeated trauma, such as joints, extremities, and buttocks (Figures 13). Calcification is localized in subcutaneous tissue, fascial planes, tendons, or intramuscular areas. It can cause debilitating secondary complications such as skin ulcerations expressing calcified material, superimposed infections of skin lesions, joint contractures with severe arthralgias, and muscle atrophy. Calcinosis has been correlated with severity of JDM with presence of cardiac involvement and use of more than one immunosuppression medication.1 It has also been associated with the degree of vasculopathy and delay in initiation of therapy for controlling inflammation in JDM.2
Soft‐tissue calcification can be classified into 5 categories:
-
Dystrophic calcification occurs in injured tissues with normal calcium, phosphorus, and parathyroid hormone levels, as seen in this patient. Calcified nodules or plaques occur in the extremities and buttocks. This is most often seen in JDM, scleroderma, and systemic lupus erythematosus.
-
Metastatic calcification affects normal tissues with abnormal levels of calcium and phosphorus. It is seen in large joints as well as arteries and visceral organs. It is associated with hyperparathyroidism, hypervitaminosis D, and malignancies.
-
Calciphylaxis with abnormal calcium and phosphorus metabolism causes small‐vessel calcification in patients with chronic renal failure.
-
Tumoral calcification is a familial condition with normal calcium levels but elevated phosphorus levels. Large subcutaneous calcifications are seen near high‐pressure areas and joints.
-
Idiopathic calcification is seen in healthy children and young adults with normal calcium metabolism and appears as multiple subcutaneous calcifications.2


Although multiple therapeutic options have been tried for the management or prevention of calcinosis, there is currently no accepted standard of treatment. In patients with calcinosis, warfarin, probenecid, colchicine, bisphosphonates, minocycline, diltiazem, aluminum hydroxide, corticosteroids, and salicylate have been attempted with variable results. Other therapeutic options include carbon dioxide laser treatments and surgical excision of large plaques. Decreasing muscle inflammation with aggressive treatment of JDM may improve outcomes and decrease the incidence of calcification.3 Unfortunately, once calcinosis has occurred, it is highly refractory to medical therapy.
Calcinosis universalis can lead to severe functional impairment. It can be distinguished from other types of calcinosis by diffuse involvement of muscle and fascia in connective tissue disease with normal calcium and phosphorus levels. New management modalities such as cyclosporine, intravenous immunoglobulin, and tumor necrosis factor alpha inhibitors are currently being evaluated.
A 38‐year‐old woman with juvenile dermatomyositis (JDM) and calcinosis universalis presented with 3 days of drainage from a lesion on her right elbow. An examination of the elbow revealed diffuse and firm subcutaneous nodules with overlying erythema. X‐rays illustrated soft‐tissue calcifications in the forearm and elbow without evidence of osteomyelitis (Figure 1). Wound cultures grew Staphylococcus aureus, and the patient was started on intravenous antibiotics for abscess treatment.

Calcinosis universalis is soft‐tissue calcification presenting as a complication of JDM. It is often detected in childhood in 30% to 70% of patients. It is hypothesized that calcinosis is due to chronic tissue inflammation, as seen in JDM, leading to muscle damage, releasing calcium, and inducing mineralization. Calcinosis universalis often presents as calcified nodules and plaques in areas of repeated trauma, such as joints, extremities, and buttocks (Figures 13). Calcification is localized in subcutaneous tissue, fascial planes, tendons, or intramuscular areas. It can cause debilitating secondary complications such as skin ulcerations expressing calcified material, superimposed infections of skin lesions, joint contractures with severe arthralgias, and muscle atrophy. Calcinosis has been correlated with severity of JDM with presence of cardiac involvement and use of more than one immunosuppression medication.1 It has also been associated with the degree of vasculopathy and delay in initiation of therapy for controlling inflammation in JDM.2
Soft‐tissue calcification can be classified into 5 categories:
-
Dystrophic calcification occurs in injured tissues with normal calcium, phosphorus, and parathyroid hormone levels, as seen in this patient. Calcified nodules or plaques occur in the extremities and buttocks. This is most often seen in JDM, scleroderma, and systemic lupus erythematosus.
-
Metastatic calcification affects normal tissues with abnormal levels of calcium and phosphorus. It is seen in large joints as well as arteries and visceral organs. It is associated with hyperparathyroidism, hypervitaminosis D, and malignancies.
-
Calciphylaxis with abnormal calcium and phosphorus metabolism causes small‐vessel calcification in patients with chronic renal failure.
-
Tumoral calcification is a familial condition with normal calcium levels but elevated phosphorus levels. Large subcutaneous calcifications are seen near high‐pressure areas and joints.
-
Idiopathic calcification is seen in healthy children and young adults with normal calcium metabolism and appears as multiple subcutaneous calcifications.2


Although multiple therapeutic options have been tried for the management or prevention of calcinosis, there is currently no accepted standard of treatment. In patients with calcinosis, warfarin, probenecid, colchicine, bisphosphonates, minocycline, diltiazem, aluminum hydroxide, corticosteroids, and salicylate have been attempted with variable results. Other therapeutic options include carbon dioxide laser treatments and surgical excision of large plaques. Decreasing muscle inflammation with aggressive treatment of JDM may improve outcomes and decrease the incidence of calcification.3 Unfortunately, once calcinosis has occurred, it is highly refractory to medical therapy.
Calcinosis universalis can lead to severe functional impairment. It can be distinguished from other types of calcinosis by diffuse involvement of muscle and fascia in connective tissue disease with normal calcium and phosphorus levels. New management modalities such as cyclosporine, intravenous immunoglobulin, and tumor necrosis factor alpha inhibitors are currently being evaluated.
- Risk factors associated with calcinosis of juvenile dermatomyositis.JPediatr (Rio J).2008;84(1):68–74. , , , et al.
- Calcinosis in rheumatic diseases.Semin Arthritis Rheum.2005;34(6):805–812. , , , .
- Aggressive management of juvenile dermatomyositis results in improved outcome and decreased incidence of calcinosis.J Am Acad Dermatol.2002;47(4):505–511. , , , et al.
- Risk factors associated with calcinosis of juvenile dermatomyositis.JPediatr (Rio J).2008;84(1):68–74. , , , et al.
- Calcinosis in rheumatic diseases.Semin Arthritis Rheum.2005;34(6):805–812. , , , .
- Aggressive management of juvenile dermatomyositis results in improved outcome and decreased incidence of calcinosis.J Am Acad Dermatol.2002;47(4):505–511. , , , et al.
Evaluation of glycemic control following discontinuation of an intensive insulin protocol
Hyperglycemia and insulin resistance are common occurrences in critically ill patients, even those without a past medical history of diabetes.1, 2 This hyperglycemic state is associated with adverse outcomes, including severe infections, polyneuropathy, multiple‐organ failure, and death.3 Several studies have shown benefit in keeping patients' blood glucose (BG) tightly controlled.37 In a randomized controlled study, strict BG control (80‐110 mg/dL) with an insulin drip significantly reduced morbidity and mortality in critically ill patients.3 A recent meta‐analysis concluded that avoiding BG levels >150 mg/dL appeared to be crucial to reducing mortality in a mixed medical and surgical intensive care unit (ICU) population.7
The Diabetes Mellitus Insulin‐Glucose Infusion in Acute Myocardial Infarction study addressed the issue of tight glycemic control both acutely and chronically in 620 diabetic patients postmyocardial infarction. Patients were randomized to tight glycemic control (126‐180 mg/dL) followed by a transition to maintenance insulin or to standard care. This intervention demonstrated a sustained mortality reduction of 7.5% at 1 year.8 In contrast, the CREATE‐ECLA study showed a neutral mortality benefit of a short‐term (24‐hour) insulin infusion in postmyocardial infarction patients.9 These data demonstrate the need for clinicians to consider insulin requirements throughout the hospital stay and after discharge. To date, there are no published studies evaluating glycemic control following discontinuation of an intensive insulin protocol (IIP). Therefore, the current study was conducted to compare BG control during the use of an IIP and for the 5 days following intensive insulin therapy.
METHODS
Patient Population
This retrospective chart review was conducted at Methodist University Hospital (MUH), Memphis, TN. MUH is a 500‐bed, university‐affiliated tertiary referral hospital. The study was approved by the hospital institutional review board. From January 2006 to January 2007, a computer‐generated pharmacy report was used to identify all patients receiving the hospital‐approved IIP. Patients were included if they were 18 years old and received the IIP for 24 hours. Patients were excluded from the study if they met any of the following criteria: (1) complete BG measurements were not retrievable while the patient received the IIP or for the 5 days following discontinuation of the IIP, (2) the patient died while receiving the IIP, and (3) an endocrinologist was involved in the care of the patient.
IIP
The hospital‐approved IIP is a paper‐based, physician‐initiated, nurse‐managed protocol. Criteria required before initiating the IIP include (1) ICU admission, (2) 2 BG measurements >150 mg/dL, (3) administration of continuous exogenous glucose, and (4) absence of diabetic ketoacidosis. The goal range of the IIP is 80 to 150 mg/dL. Hourly BG measurements are initially required, but as control is achieved, measurements may be extended to every 2 hours and then every 4 hours. In general, the criteria used for transitioning off the IIP include stability during the last 12 hours. Patients were considered to be stable on the IIP if they had >70% of their glucose measurements within the goal range during the last 12 hours.
Data Collection
When inclusion criteria were met, patients' medical records were reviewed. Data collection included basic demographic information, concurrent medications, duration of IIP, amount of insulin administered during the last 12 hours of the IIP, insulin regimen post‐IIP, and BG measurements during the last 12 hours on the IIP and for a total of 5 days after the IIP was stopped (follow‐up period). For this study, hyperglycemia was defined as a BG value >150 mg/dL, significant hyperglycemia was defined as >200 mg/dL, and severe hyperglycemia was defined as >300 mg/dL. Hypoglycemia was defined as a BG value <60 mg/dL. The values of <60 mg/dL, >150 mg/dL, and >200 mg/dL were chosen on the basis of the criteria used in the MUH IIP and standard sliding‐scale protocols. A value of >300 mg/dL was used to better describe patients with hyperglycemia. Poor glycemic control following the IIP was defined as a >30% change in mean BG during the last 12 hours on the drip and on the first day after discontinuation of the drip.
Statistical Analysis
The primary objective of this study was to compare BG control during the last 12 hours of an IIP and for the 5 days following its discontinuation. Secondary objectives were to evaluate the incidence of hyperglycemia and hypoglycemia during the transition period and to identify patients at risk of poor glycemic control following discontinuation of the IIP. Continuous data are appropriately reported as the mean standard deviation or median (interquartile range), depending on the distribution. Continuous variables were compared with the Student t test or Wilcoxon rank sum test. Discrete variables were compared with chi‐square analysis and Bonferroni Correction where appropriate. For comparisons of BG during the IIP and on days 1 to 5 of the follow‐up period, repeated‐measures analysis of variance on ranks was conducted because of the distribution. These statistical analyses were performed with SigmaStat version 2.03 (Systat Software, Inc., Richmond, VA). A P value of less than 0.05 was considered significant. However, when the Bonferroni correction was used, a value of less than 0.01 was considered significant. Multivariable logistic regression was used to determine independent predictors of a greater than 30% change in the mean BG value between the last 12 hours of the IIP and the first day off the insulin drip. Potential independent variables included in the analysis were stability on protocol, requiring less than 20 units of insulin in the last 12 hours on the IIP, use of antibiotics, use of steroids, history of diabetes, and type of insulin to which the patient was transitioned (none, sliding scale, and scheduled and sliding scale). The model was built in a backwards, stepwise fashion with SAS version 9.1 (SAS Institute, Cary, NC).
RESULTS
A total of 171 patients received the IIP during the study period. Ninety‐seven patients did not meet inclusion criteria because they received the IIP for less than 24 hours. Of the 74 patients meeting inclusion criteria, 9 were excluded (5 had insufficient glucose data, 3 were cared for by an endocrinologist, and 1 died while receiving the IIP). Thus, 65 patients were included in the study.
Table 1 lists the baseline demographics for all patients and those with and without a history of diabetes mellitus (DM). The majority of the patients (n = 49) underwent a surgical procedure, with the most common procedure being coronary artery bypass graft (n = 38). Patients undergoing coronary artery bypass graft had the IIP included in their standard postoperative order set. The majority of patients were considered stable during the 12 hours prior to discontinuation of the IIP, including 23 patients with a history of DM. Of the 65 patients who were included in the study, 25 (38.5%) received a scheduled insulin order following discontinuation of the IIP, whereas 38 (58.5%) received some form of sliding‐scale insulin (SSI). Additionally, 2 (3%) patients did not receive any form of insulin order after stopping the IIP. Of those receiving scheduled insulin, 15 (60%) received neutral protamine Hagedorn, 5 (20%) received glargine, 5 (20%) received 70/30, and 1 (4%) received regular insulin. Of those receiving SSI only, the prescribed frequency was as follows: every 4 hours for 17 (45%), before meals and at bedtime for 15 (39%), every 6 hours for 5 (13%), and every 2 hours for 1 (3%).
All Patients (n = 65) | PMH of DM (n = 36) | No PMH of DM (n = 29) | |
---|---|---|---|
| |||
Age, mean years SD | 62 11 | 61 10 | 64 12 |
Male gender, n (%) | 38 (58) | 22 (61) | 16 (55.2) |
BMI SD | 30 7.2 | 31 7 | 30 6.5 |
Surgery, n (%) | 49 (74.2) | 27 (75) | 21 (72.4) |
CABG, n | 38 | 22 | 16 |
Liver transplant, n | 6 | 1 | 4 |
Other, n | 5 | 4 | 1 |
Last 24 hours on IIP, n (%) | |||
Ventilator | 37 (56.9) | 22 (61.1) | 15 (51.7) |
Antibiotics | 37 (56.9) | 20 (55.6) | 17 (58.6) |
Vasopressors | 11 (16.9) | 5 (13.9) | 6 (20.7) |
Hemodialysis | 8 (12.3) | 5 (13.9) | 3 (10.3) |
Steroids | 16 (24.6) | 9 (25) | 7 (24.1) |
Duration of IIP, mean hours SD | 72 65 | 80 78 | 62 45 |
Insulin during last 12 hours of IIP, mean units SD | 47 37 | 51 30 | 46 45 |
Type of insulin received following IIP, n (%) | |||
Scheduled + sliding scale | 25 (38.5) | 19 (52.8) | 6 (20.7) |
Sliding scale only | 38 (58.5) | 16 (44.4) | 22 (75.9) |
None | 2 (3) | 1 (2.8) | 1 (3.4) |
Total daily insulin following IIP, mean units SD | 28 41 | 38 49 | 17 24 |
Patients stable on IIP | 44 (67.7) | 23 (64.8) | 21 (72.4) |
Hospital LOS, mean days SD | 24 18 | 24 17 | 23 19 |
Mortality, n (%) | 15 (23.1) | 5 (13.8) | 10 (34.5) |
A total of 562 glucose measurements were collected during the last 12 hours on the IIP, whereas 201 were collected during the first 12 hours immediately following the IIP. Patients demonstrated a significant increase in BG (mean standard deviation) during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP (168 50 mg/dL versus 123 26 mg/dL, P < 0.001). This corresponded to a significant decrease in the median (interquartile range) insulin administered during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP [8 (0‐18) units versus 40 (22‐65) units, P < 0.001; Figure 1]. A total of 1914 BG measurements were collected during the follow‐up period. Figure 2 shows mean BG values for all patients on the IIP compared to mean BG values for each day of the follow‐up period. There was a significant increase in mean BG measurements when the IIP was compared to each day of the follow‐up period, but there was no difference between days of the follow‐up period. Table 2 shows the proportion of patients experiencing at least 1 episode of hyperglycemia (BG > 150 mg/dL), significant hyperglycemia (BG > 200 mg/dL), severe hyperglycemia (BG > 300 mg/dL), or hypoglycemia (BG < 60 mg/dL) while receiving the IIP and during the follow‐up period. When comparing the IIP to the follow‐up period, we found a significant increase in the proportion of patients with at least 1 BG > 150 mg/dL. This was also true for patients with a BG of > 200 mg/dL.


IIP (n = 65) | Day 1 (n = 65) | Day 2 (n = 65) | Day 3 (n = 64) | Day 4 (n = 62) | Day 5 (n = 59) | |
---|---|---|---|---|---|---|
| ||||||
Patients with >150 mg/dL, n (%) | 33 (51) | 54 (83)* | 54 (83)* | 52 (81)* | 51 (82)* | 48 (81)* |
Patients with >200 mg/dL, n (%) | 11 (17) | 37 (57)* | 31 (48)* | 26 (41)* | 33 (53)* | 34 (58)* |
Patients with >300 mg/dL, n (%) | 2 (3) | 11 (17) | 7 (11) | 8 (12) | 5 (8) | 10 (17) |
Patients with <60 mg/dL, n (%) | 6 (9) | 5 (8) | 2 (3) | 2 (3) | 2 (3) | 0 (0) |
The only independent predictor of a greater than 30% change in mean BG was the requirement for more than 20 units of insulin (>1.7 units/hour) during the last 12 hours on the IIP. The odds of a greater than 30% change was 4.62 times higher (95% confidence interval: 1.1718.17) in patients requiring more than 20 units during the last 12 hours on IIP after adjustments for stability on the protocol and past medical history of diabetes. Stability on the protocol was not identified as an independent predictor, with an adjusted odds ratio of 2.40 (95% confidence interval: 0.797.32).
DISCUSSION
This is the first study to describe glycemic control following the transition from an IIP to subcutaneous insulin. We observed that during the 5 days following discontinuation of an IIP, patients had significantly elevated mean BG values. These data are highlighted by the fact that patients received significantly less insulin during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP. Additionally, a larger than expected proportion of patients exhibited at least 1 episode of hyperglycemia during the follow‐up period. We also found that an increased insulin requirement of >1.7 units/hour during the last 12 hours of the IIP was an independent risk factor for a greater than 30% increase in mean BG on day 1 of the follow‐up period.
Increasing evidence demonstrates that the development of hyperglycemia in the hospital setting is a marker of poor clinical outcome and mortality. In fact, hyperglycemia has been associated with prolonged hospital stay, infection, disability after discharge, and death in patients on general surgical and medical wards.1012 This makes the increase in mean BG found in our study following discontinuation of the IIP a concern.
SSI with subcutaneous short‐acting insulin has been used for inpatients as the standard of care for many years. However, evidence supporting the effectiveness of SSI alone is lacking, and it is not recommended by the American Diabetes Association.13 Queale et al.14 showed that SSI regimens when used alone were associated with suboptimal glycemic control and a 3‐fold higher risk of hyperglycemic episodes.1 Two retrospective studies have also demonstrated that SSI is less effective and widely variable in comparison with proactive preventative therapy.15, 16 In the current study, 58.5% of patients received SSI alone during the follow‐up period. As indicated in Figure 1, there was a significant increase in mean BG during this time interval. The choice of an inappropriate insulin regimen might be a contributing factor to poor glycemic control.
Because only 38.5% of patients were transitioned to scheduled insulin in our study, one possible strategy to help improve glycemic control would be to transition patients to a scheduled insulin regimen. Umpierrez et al.12 conducted a prospective, multicenter randomized trial to compare the efficacy and safety of a basal‐bolus insulin regimen with that of SSI in hospitalized type 2 diabetics. These authors found that patients treated with insulin glargine and glulisine had greater improvement in glycemic control than those treated with SSI (P < 0.01).12 Interestingly, the basal‐bolus method provides a maintenance insulin regimen that is aggressively titrated upward as well as an adjustable SSI based on insulin sensitivity. Patients in the current study may have benefited from a similar approach as many did not have their scheduled insulin adjusted despite persistent hyperglycemia.
With the increasing evidence for tight glycemic control in the ICU, a standardized transition from an intensive insulin infusion to a subcutaneous basal‐bolus regimen or other scheduled regimen is needed. To date, the current study is the first to describe this transition. Based on these data, recommendations for transitioning patients off an IIP provided by Furnary and Braithwaite17 should be considered by clinicians. In fact, one of their proposed predictors for unsuccessful transition was an insulin requirement of 2 units/hour. Indeed, the only independent risk factor for poor glycemic control identified in the current study was a requirement of >20 units (>1.7 units/hour) during the last 12 hours of the IIP. Further research is required to verify the other predictors suggested by Furnary and Braithwaite. They recommended using a standardized conversion protocol to transition patients off an IIP.
More recently, Kitabchi et al.18 recommended that a BG target of less than 180 mg/dL be maintained for the hospitalized patient.18 Although our study showed a mean BG less than 180 mg/dL during the follow‐up period, the variability in these values raises concerns for individual patients.
The current study is limited by its size and retrospective nature. As with all retrospective studies, the inability to control the implementation and discontinuation of the IIP may confound the results. However, this study demonstrates a real world experience with an IIP and illustrates the difficulties with transitioning patients to a subcutaneous regimen. BG values and administered insulin were collected only for the last 12 hours on the IIP. This duration is considered appropriate as this time period is used clinically at MUH, and previous recommendations for transitioning patients suggest using a time period of 6 to 8 hours to guide the transition insulin regimen.17 In addition, data regarding the severity of illness and new onset of infections were not collected for patients in the study. Both could affect glucose control. All patients had to be in an ICU to receive the IIP, but their location during the follow‐up period varied. Although these data were not available, control of BG is a problem that should be addressed whether the patient is in the ICU or not. Another possible limitation of the study was the identification of patients with or without a past medical history of DM. The inability to identify new‐onset or previously undiagnosed DM may have affected analyses based on this variable.
CONCLUSIONS
This study demonstrated a significant increase in mean BG following discontinuation of an IIP; this corresponded to a significant decrease in the amount of insulin administered. This increase was sustained for a period of at least 5 days. Additionally, an independent risk factor for poor glycemic control immediately following discontinuation of an IIP was an insulin requirement of >1.7 units/hour during the previous 12 hours. Further study into transitioning off an IIP is warranted.
- Stress‐induced hyperglycemia.Crit Care Clin.2001;17:107–124. , , .
- Alterations in carbohydrate metabolism during stress: a review of the literature.Am J Med.1995;98:75–84. .
- Intensive insulin therapy in critically ill patients.N Engl J Med.2001;345:1359–1367. , , , et al.
- Effect of an intensive glucose management protocol on the mortality of critically ill adult patients.Mayo Clin Proc.2004;79(8):992–1000. .
- Intensive insulin therapy in the medical ICU.N Engl J Med.2006;354:449–461. , , , et al.
- Intense metabolic control by means of insulin in patients with diabetes mellitus and acute myocardial infarction (DIGAMI 2) effects on mortality and morbidity.Eur Heart J.2005;26:651–661. , , , et al.
- Intensive insulin therapy in mixed medical/surgical intensive care units.Diabetes.2006;55:3151–3159. , , , et al.
- Randomized trial of insulin‐glucose infusion followed by subcutaneous insulin treatment in diabetic patients with acute myocardial infarction (DIGAMI study): effects on mortality at 1 year.J Am Coll Cardiol.1995;26:56–65. , , , et al.
- Effect of glucose‐insulin‐potassium infusion on mortality in patients with acute ST‐segment elevation myocardial infarction: the CREATE‐ECLA randomized controlled trial.JAMA.2005;293(4):437–446. , , , et al.
- Hyperglycemia: an independent marker of in‐hospital mortality in patients with undiagnosed diabetes.J Clin Endocrinol Metab.2002;87:978–982. , , , , , .
- Management of diabetes and hyperglycemia in hospitals.Diabetes Care.2004;27:553–597. , , , et al.
- Randomized study of basal‐bolus insulin therapy in the inpatient management of patients with type 2 diabetes (RABBIT 2 trial).Diabetes Care.2007;30(9):2181–2186. , , , et al.
- for the American Diabetes Association Professional Practice Committee. Diagnosis and classification of diabetes mellitus.Diabetes Care.2006;29(suppl 1):43–48. , , , et al.,
- Glycemic control and sliding scale insulin use in medical inpatients with diabetes mellitus.Arch Intern Med.1997;157(5):545–552. , , .
- Management of diabetes mellitus in hospitalized patients: efficiency and effectiveness of sliding‐scale insulin therapy.Pharmacotherapy.2006;26(10):1421–1432. , , , , .
- Efficacy of sliding‐scale insulin therapy: a comparison with prospective regimens.Fam Pract Res J.1994;14(4):313–322. , , , , .
- Effects of outcome on in‐hospital transition from intravenous insulin infusion to subcutaneous therapy.Am J Cardiol.2006;98:557–564. , .
- Evidence for strict inpatient blood glucose control: time to revise glycemic goals in hospitalized patients.Metabolism.2008;57:116–120. , , .
Hyperglycemia and insulin resistance are common occurrences in critically ill patients, even those without a past medical history of diabetes.1, 2 This hyperglycemic state is associated with adverse outcomes, including severe infections, polyneuropathy, multiple‐organ failure, and death.3 Several studies have shown benefit in keeping patients' blood glucose (BG) tightly controlled.37 In a randomized controlled study, strict BG control (80‐110 mg/dL) with an insulin drip significantly reduced morbidity and mortality in critically ill patients.3 A recent meta‐analysis concluded that avoiding BG levels >150 mg/dL appeared to be crucial to reducing mortality in a mixed medical and surgical intensive care unit (ICU) population.7
The Diabetes Mellitus Insulin‐Glucose Infusion in Acute Myocardial Infarction study addressed the issue of tight glycemic control both acutely and chronically in 620 diabetic patients postmyocardial infarction. Patients were randomized to tight glycemic control (126‐180 mg/dL) followed by a transition to maintenance insulin or to standard care. This intervention demonstrated a sustained mortality reduction of 7.5% at 1 year.8 In contrast, the CREATE‐ECLA study showed a neutral mortality benefit of a short‐term (24‐hour) insulin infusion in postmyocardial infarction patients.9 These data demonstrate the need for clinicians to consider insulin requirements throughout the hospital stay and after discharge. To date, there are no published studies evaluating glycemic control following discontinuation of an intensive insulin protocol (IIP). Therefore, the current study was conducted to compare BG control during the use of an IIP and for the 5 days following intensive insulin therapy.
METHODS
Patient Population
This retrospective chart review was conducted at Methodist University Hospital (MUH), Memphis, TN. MUH is a 500‐bed, university‐affiliated tertiary referral hospital. The study was approved by the hospital institutional review board. From January 2006 to January 2007, a computer‐generated pharmacy report was used to identify all patients receiving the hospital‐approved IIP. Patients were included if they were 18 years old and received the IIP for 24 hours. Patients were excluded from the study if they met any of the following criteria: (1) complete BG measurements were not retrievable while the patient received the IIP or for the 5 days following discontinuation of the IIP, (2) the patient died while receiving the IIP, and (3) an endocrinologist was involved in the care of the patient.
IIP
The hospital‐approved IIP is a paper‐based, physician‐initiated, nurse‐managed protocol. Criteria required before initiating the IIP include (1) ICU admission, (2) 2 BG measurements >150 mg/dL, (3) administration of continuous exogenous glucose, and (4) absence of diabetic ketoacidosis. The goal range of the IIP is 80 to 150 mg/dL. Hourly BG measurements are initially required, but as control is achieved, measurements may be extended to every 2 hours and then every 4 hours. In general, the criteria used for transitioning off the IIP include stability during the last 12 hours. Patients were considered to be stable on the IIP if they had >70% of their glucose measurements within the goal range during the last 12 hours.
Data Collection
When inclusion criteria were met, patients' medical records were reviewed. Data collection included basic demographic information, concurrent medications, duration of IIP, amount of insulin administered during the last 12 hours of the IIP, insulin regimen post‐IIP, and BG measurements during the last 12 hours on the IIP and for a total of 5 days after the IIP was stopped (follow‐up period). For this study, hyperglycemia was defined as a BG value >150 mg/dL, significant hyperglycemia was defined as >200 mg/dL, and severe hyperglycemia was defined as >300 mg/dL. Hypoglycemia was defined as a BG value <60 mg/dL. The values of <60 mg/dL, >150 mg/dL, and >200 mg/dL were chosen on the basis of the criteria used in the MUH IIP and standard sliding‐scale protocols. A value of >300 mg/dL was used to better describe patients with hyperglycemia. Poor glycemic control following the IIP was defined as a >30% change in mean BG during the last 12 hours on the drip and on the first day after discontinuation of the drip.
Statistical Analysis
The primary objective of this study was to compare BG control during the last 12 hours of an IIP and for the 5 days following its discontinuation. Secondary objectives were to evaluate the incidence of hyperglycemia and hypoglycemia during the transition period and to identify patients at risk of poor glycemic control following discontinuation of the IIP. Continuous data are appropriately reported as the mean standard deviation or median (interquartile range), depending on the distribution. Continuous variables were compared with the Student t test or Wilcoxon rank sum test. Discrete variables were compared with chi‐square analysis and Bonferroni Correction where appropriate. For comparisons of BG during the IIP and on days 1 to 5 of the follow‐up period, repeated‐measures analysis of variance on ranks was conducted because of the distribution. These statistical analyses were performed with SigmaStat version 2.03 (Systat Software, Inc., Richmond, VA). A P value of less than 0.05 was considered significant. However, when the Bonferroni correction was used, a value of less than 0.01 was considered significant. Multivariable logistic regression was used to determine independent predictors of a greater than 30% change in the mean BG value between the last 12 hours of the IIP and the first day off the insulin drip. Potential independent variables included in the analysis were stability on protocol, requiring less than 20 units of insulin in the last 12 hours on the IIP, use of antibiotics, use of steroids, history of diabetes, and type of insulin to which the patient was transitioned (none, sliding scale, and scheduled and sliding scale). The model was built in a backwards, stepwise fashion with SAS version 9.1 (SAS Institute, Cary, NC).
RESULTS
A total of 171 patients received the IIP during the study period. Ninety‐seven patients did not meet inclusion criteria because they received the IIP for less than 24 hours. Of the 74 patients meeting inclusion criteria, 9 were excluded (5 had insufficient glucose data, 3 were cared for by an endocrinologist, and 1 died while receiving the IIP). Thus, 65 patients were included in the study.
Table 1 lists the baseline demographics for all patients and those with and without a history of diabetes mellitus (DM). The majority of the patients (n = 49) underwent a surgical procedure, with the most common procedure being coronary artery bypass graft (n = 38). Patients undergoing coronary artery bypass graft had the IIP included in their standard postoperative order set. The majority of patients were considered stable during the 12 hours prior to discontinuation of the IIP, including 23 patients with a history of DM. Of the 65 patients who were included in the study, 25 (38.5%) received a scheduled insulin order following discontinuation of the IIP, whereas 38 (58.5%) received some form of sliding‐scale insulin (SSI). Additionally, 2 (3%) patients did not receive any form of insulin order after stopping the IIP. Of those receiving scheduled insulin, 15 (60%) received neutral protamine Hagedorn, 5 (20%) received glargine, 5 (20%) received 70/30, and 1 (4%) received regular insulin. Of those receiving SSI only, the prescribed frequency was as follows: every 4 hours for 17 (45%), before meals and at bedtime for 15 (39%), every 6 hours for 5 (13%), and every 2 hours for 1 (3%).
All Patients (n = 65) | PMH of DM (n = 36) | No PMH of DM (n = 29) | |
---|---|---|---|
| |||
Age, mean years SD | 62 11 | 61 10 | 64 12 |
Male gender, n (%) | 38 (58) | 22 (61) | 16 (55.2) |
BMI SD | 30 7.2 | 31 7 | 30 6.5 |
Surgery, n (%) | 49 (74.2) | 27 (75) | 21 (72.4) |
CABG, n | 38 | 22 | 16 |
Liver transplant, n | 6 | 1 | 4 |
Other, n | 5 | 4 | 1 |
Last 24 hours on IIP, n (%) | |||
Ventilator | 37 (56.9) | 22 (61.1) | 15 (51.7) |
Antibiotics | 37 (56.9) | 20 (55.6) | 17 (58.6) |
Vasopressors | 11 (16.9) | 5 (13.9) | 6 (20.7) |
Hemodialysis | 8 (12.3) | 5 (13.9) | 3 (10.3) |
Steroids | 16 (24.6) | 9 (25) | 7 (24.1) |
Duration of IIP, mean hours SD | 72 65 | 80 78 | 62 45 |
Insulin during last 12 hours of IIP, mean units SD | 47 37 | 51 30 | 46 45 |
Type of insulin received following IIP, n (%) | |||
Scheduled + sliding scale | 25 (38.5) | 19 (52.8) | 6 (20.7) |
Sliding scale only | 38 (58.5) | 16 (44.4) | 22 (75.9) |
None | 2 (3) | 1 (2.8) | 1 (3.4) |
Total daily insulin following IIP, mean units SD | 28 41 | 38 49 | 17 24 |
Patients stable on IIP | 44 (67.7) | 23 (64.8) | 21 (72.4) |
Hospital LOS, mean days SD | 24 18 | 24 17 | 23 19 |
Mortality, n (%) | 15 (23.1) | 5 (13.8) | 10 (34.5) |
A total of 562 glucose measurements were collected during the last 12 hours on the IIP, whereas 201 were collected during the first 12 hours immediately following the IIP. Patients demonstrated a significant increase in BG (mean standard deviation) during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP (168 50 mg/dL versus 123 26 mg/dL, P < 0.001). This corresponded to a significant decrease in the median (interquartile range) insulin administered during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP [8 (0‐18) units versus 40 (22‐65) units, P < 0.001; Figure 1]. A total of 1914 BG measurements were collected during the follow‐up period. Figure 2 shows mean BG values for all patients on the IIP compared to mean BG values for each day of the follow‐up period. There was a significant increase in mean BG measurements when the IIP was compared to each day of the follow‐up period, but there was no difference between days of the follow‐up period. Table 2 shows the proportion of patients experiencing at least 1 episode of hyperglycemia (BG > 150 mg/dL), significant hyperglycemia (BG > 200 mg/dL), severe hyperglycemia (BG > 300 mg/dL), or hypoglycemia (BG < 60 mg/dL) while receiving the IIP and during the follow‐up period. When comparing the IIP to the follow‐up period, we found a significant increase in the proportion of patients with at least 1 BG > 150 mg/dL. This was also true for patients with a BG of > 200 mg/dL.


IIP (n = 65) | Day 1 (n = 65) | Day 2 (n = 65) | Day 3 (n = 64) | Day 4 (n = 62) | Day 5 (n = 59) | |
---|---|---|---|---|---|---|
| ||||||
Patients with >150 mg/dL, n (%) | 33 (51) | 54 (83)* | 54 (83)* | 52 (81)* | 51 (82)* | 48 (81)* |
Patients with >200 mg/dL, n (%) | 11 (17) | 37 (57)* | 31 (48)* | 26 (41)* | 33 (53)* | 34 (58)* |
Patients with >300 mg/dL, n (%) | 2 (3) | 11 (17) | 7 (11) | 8 (12) | 5 (8) | 10 (17) |
Patients with <60 mg/dL, n (%) | 6 (9) | 5 (8) | 2 (3) | 2 (3) | 2 (3) | 0 (0) |
The only independent predictor of a greater than 30% change in mean BG was the requirement for more than 20 units of insulin (>1.7 units/hour) during the last 12 hours on the IIP. The odds of a greater than 30% change was 4.62 times higher (95% confidence interval: 1.1718.17) in patients requiring more than 20 units during the last 12 hours on IIP after adjustments for stability on the protocol and past medical history of diabetes. Stability on the protocol was not identified as an independent predictor, with an adjusted odds ratio of 2.40 (95% confidence interval: 0.797.32).
DISCUSSION
This is the first study to describe glycemic control following the transition from an IIP to subcutaneous insulin. We observed that during the 5 days following discontinuation of an IIP, patients had significantly elevated mean BG values. These data are highlighted by the fact that patients received significantly less insulin during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP. Additionally, a larger than expected proportion of patients exhibited at least 1 episode of hyperglycemia during the follow‐up period. We also found that an increased insulin requirement of >1.7 units/hour during the last 12 hours of the IIP was an independent risk factor for a greater than 30% increase in mean BG on day 1 of the follow‐up period.
Increasing evidence demonstrates that the development of hyperglycemia in the hospital setting is a marker of poor clinical outcome and mortality. In fact, hyperglycemia has been associated with prolonged hospital stay, infection, disability after discharge, and death in patients on general surgical and medical wards.1012 This makes the increase in mean BG found in our study following discontinuation of the IIP a concern.
SSI with subcutaneous short‐acting insulin has been used for inpatients as the standard of care for many years. However, evidence supporting the effectiveness of SSI alone is lacking, and it is not recommended by the American Diabetes Association.13 Queale et al.14 showed that SSI regimens when used alone were associated with suboptimal glycemic control and a 3‐fold higher risk of hyperglycemic episodes.1 Two retrospective studies have also demonstrated that SSI is less effective and widely variable in comparison with proactive preventative therapy.15, 16 In the current study, 58.5% of patients received SSI alone during the follow‐up period. As indicated in Figure 1, there was a significant increase in mean BG during this time interval. The choice of an inappropriate insulin regimen might be a contributing factor to poor glycemic control.
Because only 38.5% of patients were transitioned to scheduled insulin in our study, one possible strategy to help improve glycemic control would be to transition patients to a scheduled insulin regimen. Umpierrez et al.12 conducted a prospective, multicenter randomized trial to compare the efficacy and safety of a basal‐bolus insulin regimen with that of SSI in hospitalized type 2 diabetics. These authors found that patients treated with insulin glargine and glulisine had greater improvement in glycemic control than those treated with SSI (P < 0.01).12 Interestingly, the basal‐bolus method provides a maintenance insulin regimen that is aggressively titrated upward as well as an adjustable SSI based on insulin sensitivity. Patients in the current study may have benefited from a similar approach as many did not have their scheduled insulin adjusted despite persistent hyperglycemia.
With the increasing evidence for tight glycemic control in the ICU, a standardized transition from an intensive insulin infusion to a subcutaneous basal‐bolus regimen or other scheduled regimen is needed. To date, the current study is the first to describe this transition. Based on these data, recommendations for transitioning patients off an IIP provided by Furnary and Braithwaite17 should be considered by clinicians. In fact, one of their proposed predictors for unsuccessful transition was an insulin requirement of 2 units/hour. Indeed, the only independent risk factor for poor glycemic control identified in the current study was a requirement of >20 units (>1.7 units/hour) during the last 12 hours of the IIP. Further research is required to verify the other predictors suggested by Furnary and Braithwaite. They recommended using a standardized conversion protocol to transition patients off an IIP.
More recently, Kitabchi et al.18 recommended that a BG target of less than 180 mg/dL be maintained for the hospitalized patient.18 Although our study showed a mean BG less than 180 mg/dL during the follow‐up period, the variability in these values raises concerns for individual patients.
The current study is limited by its size and retrospective nature. As with all retrospective studies, the inability to control the implementation and discontinuation of the IIP may confound the results. However, this study demonstrates a real world experience with an IIP and illustrates the difficulties with transitioning patients to a subcutaneous regimen. BG values and administered insulin were collected only for the last 12 hours on the IIP. This duration is considered appropriate as this time period is used clinically at MUH, and previous recommendations for transitioning patients suggest using a time period of 6 to 8 hours to guide the transition insulin regimen.17 In addition, data regarding the severity of illness and new onset of infections were not collected for patients in the study. Both could affect glucose control. All patients had to be in an ICU to receive the IIP, but their location during the follow‐up period varied. Although these data were not available, control of BG is a problem that should be addressed whether the patient is in the ICU or not. Another possible limitation of the study was the identification of patients with or without a past medical history of DM. The inability to identify new‐onset or previously undiagnosed DM may have affected analyses based on this variable.
CONCLUSIONS
This study demonstrated a significant increase in mean BG following discontinuation of an IIP; this corresponded to a significant decrease in the amount of insulin administered. This increase was sustained for a period of at least 5 days. Additionally, an independent risk factor for poor glycemic control immediately following discontinuation of an IIP was an insulin requirement of >1.7 units/hour during the previous 12 hours. Further study into transitioning off an IIP is warranted.
Hyperglycemia and insulin resistance are common occurrences in critically ill patients, even those without a past medical history of diabetes.1, 2 This hyperglycemic state is associated with adverse outcomes, including severe infections, polyneuropathy, multiple‐organ failure, and death.3 Several studies have shown benefit in keeping patients' blood glucose (BG) tightly controlled.37 In a randomized controlled study, strict BG control (80‐110 mg/dL) with an insulin drip significantly reduced morbidity and mortality in critically ill patients.3 A recent meta‐analysis concluded that avoiding BG levels >150 mg/dL appeared to be crucial to reducing mortality in a mixed medical and surgical intensive care unit (ICU) population.7
The Diabetes Mellitus Insulin‐Glucose Infusion in Acute Myocardial Infarction study addressed the issue of tight glycemic control both acutely and chronically in 620 diabetic patients postmyocardial infarction. Patients were randomized to tight glycemic control (126‐180 mg/dL) followed by a transition to maintenance insulin or to standard care. This intervention demonstrated a sustained mortality reduction of 7.5% at 1 year.8 In contrast, the CREATE‐ECLA study showed a neutral mortality benefit of a short‐term (24‐hour) insulin infusion in postmyocardial infarction patients.9 These data demonstrate the need for clinicians to consider insulin requirements throughout the hospital stay and after discharge. To date, there are no published studies evaluating glycemic control following discontinuation of an intensive insulin protocol (IIP). Therefore, the current study was conducted to compare BG control during the use of an IIP and for the 5 days following intensive insulin therapy.
METHODS
Patient Population
This retrospective chart review was conducted at Methodist University Hospital (MUH), Memphis, TN. MUH is a 500‐bed, university‐affiliated tertiary referral hospital. The study was approved by the hospital institutional review board. From January 2006 to January 2007, a computer‐generated pharmacy report was used to identify all patients receiving the hospital‐approved IIP. Patients were included if they were 18 years old and received the IIP for 24 hours. Patients were excluded from the study if they met any of the following criteria: (1) complete BG measurements were not retrievable while the patient received the IIP or for the 5 days following discontinuation of the IIP, (2) the patient died while receiving the IIP, and (3) an endocrinologist was involved in the care of the patient.
IIP
The hospital‐approved IIP is a paper‐based, physician‐initiated, nurse‐managed protocol. Criteria required before initiating the IIP include (1) ICU admission, (2) 2 BG measurements >150 mg/dL, (3) administration of continuous exogenous glucose, and (4) absence of diabetic ketoacidosis. The goal range of the IIP is 80 to 150 mg/dL. Hourly BG measurements are initially required, but as control is achieved, measurements may be extended to every 2 hours and then every 4 hours. In general, the criteria used for transitioning off the IIP include stability during the last 12 hours. Patients were considered to be stable on the IIP if they had >70% of their glucose measurements within the goal range during the last 12 hours.
Data Collection
When inclusion criteria were met, patients' medical records were reviewed. Data collection included basic demographic information, concurrent medications, duration of IIP, amount of insulin administered during the last 12 hours of the IIP, insulin regimen post‐IIP, and BG measurements during the last 12 hours on the IIP and for a total of 5 days after the IIP was stopped (follow‐up period). For this study, hyperglycemia was defined as a BG value >150 mg/dL, significant hyperglycemia was defined as >200 mg/dL, and severe hyperglycemia was defined as >300 mg/dL. Hypoglycemia was defined as a BG value <60 mg/dL. The values of <60 mg/dL, >150 mg/dL, and >200 mg/dL were chosen on the basis of the criteria used in the MUH IIP and standard sliding‐scale protocols. A value of >300 mg/dL was used to better describe patients with hyperglycemia. Poor glycemic control following the IIP was defined as a >30% change in mean BG during the last 12 hours on the drip and on the first day after discontinuation of the drip.
Statistical Analysis
The primary objective of this study was to compare BG control during the last 12 hours of an IIP and for the 5 days following its discontinuation. Secondary objectives were to evaluate the incidence of hyperglycemia and hypoglycemia during the transition period and to identify patients at risk of poor glycemic control following discontinuation of the IIP. Continuous data are appropriately reported as the mean standard deviation or median (interquartile range), depending on the distribution. Continuous variables were compared with the Student t test or Wilcoxon rank sum test. Discrete variables were compared with chi‐square analysis and Bonferroni Correction where appropriate. For comparisons of BG during the IIP and on days 1 to 5 of the follow‐up period, repeated‐measures analysis of variance on ranks was conducted because of the distribution. These statistical analyses were performed with SigmaStat version 2.03 (Systat Software, Inc., Richmond, VA). A P value of less than 0.05 was considered significant. However, when the Bonferroni correction was used, a value of less than 0.01 was considered significant. Multivariable logistic regression was used to determine independent predictors of a greater than 30% change in the mean BG value between the last 12 hours of the IIP and the first day off the insulin drip. Potential independent variables included in the analysis were stability on protocol, requiring less than 20 units of insulin in the last 12 hours on the IIP, use of antibiotics, use of steroids, history of diabetes, and type of insulin to which the patient was transitioned (none, sliding scale, and scheduled and sliding scale). The model was built in a backwards, stepwise fashion with SAS version 9.1 (SAS Institute, Cary, NC).
RESULTS
A total of 171 patients received the IIP during the study period. Ninety‐seven patients did not meet inclusion criteria because they received the IIP for less than 24 hours. Of the 74 patients meeting inclusion criteria, 9 were excluded (5 had insufficient glucose data, 3 were cared for by an endocrinologist, and 1 died while receiving the IIP). Thus, 65 patients were included in the study.
Table 1 lists the baseline demographics for all patients and those with and without a history of diabetes mellitus (DM). The majority of the patients (n = 49) underwent a surgical procedure, with the most common procedure being coronary artery bypass graft (n = 38). Patients undergoing coronary artery bypass graft had the IIP included in their standard postoperative order set. The majority of patients were considered stable during the 12 hours prior to discontinuation of the IIP, including 23 patients with a history of DM. Of the 65 patients who were included in the study, 25 (38.5%) received a scheduled insulin order following discontinuation of the IIP, whereas 38 (58.5%) received some form of sliding‐scale insulin (SSI). Additionally, 2 (3%) patients did not receive any form of insulin order after stopping the IIP. Of those receiving scheduled insulin, 15 (60%) received neutral protamine Hagedorn, 5 (20%) received glargine, 5 (20%) received 70/30, and 1 (4%) received regular insulin. Of those receiving SSI only, the prescribed frequency was as follows: every 4 hours for 17 (45%), before meals and at bedtime for 15 (39%), every 6 hours for 5 (13%), and every 2 hours for 1 (3%).
All Patients (n = 65) | PMH of DM (n = 36) | No PMH of DM (n = 29) | |
---|---|---|---|
| |||
Age, mean years SD | 62 11 | 61 10 | 64 12 |
Male gender, n (%) | 38 (58) | 22 (61) | 16 (55.2) |
BMI SD | 30 7.2 | 31 7 | 30 6.5 |
Surgery, n (%) | 49 (74.2) | 27 (75) | 21 (72.4) |
CABG, n | 38 | 22 | 16 |
Liver transplant, n | 6 | 1 | 4 |
Other, n | 5 | 4 | 1 |
Last 24 hours on IIP, n (%) | |||
Ventilator | 37 (56.9) | 22 (61.1) | 15 (51.7) |
Antibiotics | 37 (56.9) | 20 (55.6) | 17 (58.6) |
Vasopressors | 11 (16.9) | 5 (13.9) | 6 (20.7) |
Hemodialysis | 8 (12.3) | 5 (13.9) | 3 (10.3) |
Steroids | 16 (24.6) | 9 (25) | 7 (24.1) |
Duration of IIP, mean hours SD | 72 65 | 80 78 | 62 45 |
Insulin during last 12 hours of IIP, mean units SD | 47 37 | 51 30 | 46 45 |
Type of insulin received following IIP, n (%) | |||
Scheduled + sliding scale | 25 (38.5) | 19 (52.8) | 6 (20.7) |
Sliding scale only | 38 (58.5) | 16 (44.4) | 22 (75.9) |
None | 2 (3) | 1 (2.8) | 1 (3.4) |
Total daily insulin following IIP, mean units SD | 28 41 | 38 49 | 17 24 |
Patients stable on IIP | 44 (67.7) | 23 (64.8) | 21 (72.4) |
Hospital LOS, mean days SD | 24 18 | 24 17 | 23 19 |
Mortality, n (%) | 15 (23.1) | 5 (13.8) | 10 (34.5) |
A total of 562 glucose measurements were collected during the last 12 hours on the IIP, whereas 201 were collected during the first 12 hours immediately following the IIP. Patients demonstrated a significant increase in BG (mean standard deviation) during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP (168 50 mg/dL versus 123 26 mg/dL, P < 0.001). This corresponded to a significant decrease in the median (interquartile range) insulin administered during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP [8 (0‐18) units versus 40 (22‐65) units, P < 0.001; Figure 1]. A total of 1914 BG measurements were collected during the follow‐up period. Figure 2 shows mean BG values for all patients on the IIP compared to mean BG values for each day of the follow‐up period. There was a significant increase in mean BG measurements when the IIP was compared to each day of the follow‐up period, but there was no difference between days of the follow‐up period. Table 2 shows the proportion of patients experiencing at least 1 episode of hyperglycemia (BG > 150 mg/dL), significant hyperglycemia (BG > 200 mg/dL), severe hyperglycemia (BG > 300 mg/dL), or hypoglycemia (BG < 60 mg/dL) while receiving the IIP and during the follow‐up period. When comparing the IIP to the follow‐up period, we found a significant increase in the proportion of patients with at least 1 BG > 150 mg/dL. This was also true for patients with a BG of > 200 mg/dL.


IIP (n = 65) | Day 1 (n = 65) | Day 2 (n = 65) | Day 3 (n = 64) | Day 4 (n = 62) | Day 5 (n = 59) | |
---|---|---|---|---|---|---|
| ||||||
Patients with >150 mg/dL, n (%) | 33 (51) | 54 (83)* | 54 (83)* | 52 (81)* | 51 (82)* | 48 (81)* |
Patients with >200 mg/dL, n (%) | 11 (17) | 37 (57)* | 31 (48)* | 26 (41)* | 33 (53)* | 34 (58)* |
Patients with >300 mg/dL, n (%) | 2 (3) | 11 (17) | 7 (11) | 8 (12) | 5 (8) | 10 (17) |
Patients with <60 mg/dL, n (%) | 6 (9) | 5 (8) | 2 (3) | 2 (3) | 2 (3) | 0 (0) |
The only independent predictor of a greater than 30% change in mean BG was the requirement for more than 20 units of insulin (>1.7 units/hour) during the last 12 hours on the IIP. The odds of a greater than 30% change was 4.62 times higher (95% confidence interval: 1.1718.17) in patients requiring more than 20 units during the last 12 hours on IIP after adjustments for stability on the protocol and past medical history of diabetes. Stability on the protocol was not identified as an independent predictor, with an adjusted odds ratio of 2.40 (95% confidence interval: 0.797.32).
DISCUSSION
This is the first study to describe glycemic control following the transition from an IIP to subcutaneous insulin. We observed that during the 5 days following discontinuation of an IIP, patients had significantly elevated mean BG values. These data are highlighted by the fact that patients received significantly less insulin during the first 12 hours of the follow‐up period versus the last 12 hours of the IIP. Additionally, a larger than expected proportion of patients exhibited at least 1 episode of hyperglycemia during the follow‐up period. We also found that an increased insulin requirement of >1.7 units/hour during the last 12 hours of the IIP was an independent risk factor for a greater than 30% increase in mean BG on day 1 of the follow‐up period.
Increasing evidence demonstrates that the development of hyperglycemia in the hospital setting is a marker of poor clinical outcome and mortality. In fact, hyperglycemia has been associated with prolonged hospital stay, infection, disability after discharge, and death in patients on general surgical and medical wards.1012 This makes the increase in mean BG found in our study following discontinuation of the IIP a concern.
SSI with subcutaneous short‐acting insulin has been used for inpatients as the standard of care for many years. However, evidence supporting the effectiveness of SSI alone is lacking, and it is not recommended by the American Diabetes Association.13 Queale et al.14 showed that SSI regimens when used alone were associated with suboptimal glycemic control and a 3‐fold higher risk of hyperglycemic episodes.1 Two retrospective studies have also demonstrated that SSI is less effective and widely variable in comparison with proactive preventative therapy.15, 16 In the current study, 58.5% of patients received SSI alone during the follow‐up period. As indicated in Figure 1, there was a significant increase in mean BG during this time interval. The choice of an inappropriate insulin regimen might be a contributing factor to poor glycemic control.
Because only 38.5% of patients were transitioned to scheduled insulin in our study, one possible strategy to help improve glycemic control would be to transition patients to a scheduled insulin regimen. Umpierrez et al.12 conducted a prospective, multicenter randomized trial to compare the efficacy and safety of a basal‐bolus insulin regimen with that of SSI in hospitalized type 2 diabetics. These authors found that patients treated with insulin glargine and glulisine had greater improvement in glycemic control than those treated with SSI (P < 0.01).12 Interestingly, the basal‐bolus method provides a maintenance insulin regimen that is aggressively titrated upward as well as an adjustable SSI based on insulin sensitivity. Patients in the current study may have benefited from a similar approach as many did not have their scheduled insulin adjusted despite persistent hyperglycemia.
With the increasing evidence for tight glycemic control in the ICU, a standardized transition from an intensive insulin infusion to a subcutaneous basal‐bolus regimen or other scheduled regimen is needed. To date, the current study is the first to describe this transition. Based on these data, recommendations for transitioning patients off an IIP provided by Furnary and Braithwaite17 should be considered by clinicians. In fact, one of their proposed predictors for unsuccessful transition was an insulin requirement of 2 units/hour. Indeed, the only independent risk factor for poor glycemic control identified in the current study was a requirement of >20 units (>1.7 units/hour) during the last 12 hours of the IIP. Further research is required to verify the other predictors suggested by Furnary and Braithwaite. They recommended using a standardized conversion protocol to transition patients off an IIP.
More recently, Kitabchi et al.18 recommended that a BG target of less than 180 mg/dL be maintained for the hospitalized patient.18 Although our study showed a mean BG less than 180 mg/dL during the follow‐up period, the variability in these values raises concerns for individual patients.
The current study is limited by its size and retrospective nature. As with all retrospective studies, the inability to control the implementation and discontinuation of the IIP may confound the results. However, this study demonstrates a real world experience with an IIP and illustrates the difficulties with transitioning patients to a subcutaneous regimen. BG values and administered insulin were collected only for the last 12 hours on the IIP. This duration is considered appropriate as this time period is used clinically at MUH, and previous recommendations for transitioning patients suggest using a time period of 6 to 8 hours to guide the transition insulin regimen.17 In addition, data regarding the severity of illness and new onset of infections were not collected for patients in the study. Both could affect glucose control. All patients had to be in an ICU to receive the IIP, but their location during the follow‐up period varied. Although these data were not available, control of BG is a problem that should be addressed whether the patient is in the ICU or not. Another possible limitation of the study was the identification of patients with or without a past medical history of DM. The inability to identify new‐onset or previously undiagnosed DM may have affected analyses based on this variable.
CONCLUSIONS
This study demonstrated a significant increase in mean BG following discontinuation of an IIP; this corresponded to a significant decrease in the amount of insulin administered. This increase was sustained for a period of at least 5 days. Additionally, an independent risk factor for poor glycemic control immediately following discontinuation of an IIP was an insulin requirement of >1.7 units/hour during the previous 12 hours. Further study into transitioning off an IIP is warranted.
- Stress‐induced hyperglycemia.Crit Care Clin.2001;17:107–124. , , .
- Alterations in carbohydrate metabolism during stress: a review of the literature.Am J Med.1995;98:75–84. .
- Intensive insulin therapy in critically ill patients.N Engl J Med.2001;345:1359–1367. , , , et al.
- Effect of an intensive glucose management protocol on the mortality of critically ill adult patients.Mayo Clin Proc.2004;79(8):992–1000. .
- Intensive insulin therapy in the medical ICU.N Engl J Med.2006;354:449–461. , , , et al.
- Intense metabolic control by means of insulin in patients with diabetes mellitus and acute myocardial infarction (DIGAMI 2) effects on mortality and morbidity.Eur Heart J.2005;26:651–661. , , , et al.
- Intensive insulin therapy in mixed medical/surgical intensive care units.Diabetes.2006;55:3151–3159. , , , et al.
- Randomized trial of insulin‐glucose infusion followed by subcutaneous insulin treatment in diabetic patients with acute myocardial infarction (DIGAMI study): effects on mortality at 1 year.J Am Coll Cardiol.1995;26:56–65. , , , et al.
- Effect of glucose‐insulin‐potassium infusion on mortality in patients with acute ST‐segment elevation myocardial infarction: the CREATE‐ECLA randomized controlled trial.JAMA.2005;293(4):437–446. , , , et al.
- Hyperglycemia: an independent marker of in‐hospital mortality in patients with undiagnosed diabetes.J Clin Endocrinol Metab.2002;87:978–982. , , , , , .
- Management of diabetes and hyperglycemia in hospitals.Diabetes Care.2004;27:553–597. , , , et al.
- Randomized study of basal‐bolus insulin therapy in the inpatient management of patients with type 2 diabetes (RABBIT 2 trial).Diabetes Care.2007;30(9):2181–2186. , , , et al.
- for the American Diabetes Association Professional Practice Committee. Diagnosis and classification of diabetes mellitus.Diabetes Care.2006;29(suppl 1):43–48. , , , et al.,
- Glycemic control and sliding scale insulin use in medical inpatients with diabetes mellitus.Arch Intern Med.1997;157(5):545–552. , , .
- Management of diabetes mellitus in hospitalized patients: efficiency and effectiveness of sliding‐scale insulin therapy.Pharmacotherapy.2006;26(10):1421–1432. , , , , .
- Efficacy of sliding‐scale insulin therapy: a comparison with prospective regimens.Fam Pract Res J.1994;14(4):313–322. , , , , .
- Effects of outcome on in‐hospital transition from intravenous insulin infusion to subcutaneous therapy.Am J Cardiol.2006;98:557–564. , .
- Evidence for strict inpatient blood glucose control: time to revise glycemic goals in hospitalized patients.Metabolism.2008;57:116–120. , , .
- Stress‐induced hyperglycemia.Crit Care Clin.2001;17:107–124. , , .
- Alterations in carbohydrate metabolism during stress: a review of the literature.Am J Med.1995;98:75–84. .
- Intensive insulin therapy in critically ill patients.N Engl J Med.2001;345:1359–1367. , , , et al.
- Effect of an intensive glucose management protocol on the mortality of critically ill adult patients.Mayo Clin Proc.2004;79(8):992–1000. .
- Intensive insulin therapy in the medical ICU.N Engl J Med.2006;354:449–461. , , , et al.
- Intense metabolic control by means of insulin in patients with diabetes mellitus and acute myocardial infarction (DIGAMI 2) effects on mortality and morbidity.Eur Heart J.2005;26:651–661. , , , et al.
- Intensive insulin therapy in mixed medical/surgical intensive care units.Diabetes.2006;55:3151–3159. , , , et al.
- Randomized trial of insulin‐glucose infusion followed by subcutaneous insulin treatment in diabetic patients with acute myocardial infarction (DIGAMI study): effects on mortality at 1 year.J Am Coll Cardiol.1995;26:56–65. , , , et al.
- Effect of glucose‐insulin‐potassium infusion on mortality in patients with acute ST‐segment elevation myocardial infarction: the CREATE‐ECLA randomized controlled trial.JAMA.2005;293(4):437–446. , , , et al.
- Hyperglycemia: an independent marker of in‐hospital mortality in patients with undiagnosed diabetes.J Clin Endocrinol Metab.2002;87:978–982. , , , , , .
- Management of diabetes and hyperglycemia in hospitals.Diabetes Care.2004;27:553–597. , , , et al.
- Randomized study of basal‐bolus insulin therapy in the inpatient management of patients with type 2 diabetes (RABBIT 2 trial).Diabetes Care.2007;30(9):2181–2186. , , , et al.
- for the American Diabetes Association Professional Practice Committee. Diagnosis and classification of diabetes mellitus.Diabetes Care.2006;29(suppl 1):43–48. , , , et al.,
- Glycemic control and sliding scale insulin use in medical inpatients with diabetes mellitus.Arch Intern Med.1997;157(5):545–552. , , .
- Management of diabetes mellitus in hospitalized patients: efficiency and effectiveness of sliding‐scale insulin therapy.Pharmacotherapy.2006;26(10):1421–1432. , , , , .
- Efficacy of sliding‐scale insulin therapy: a comparison with prospective regimens.Fam Pract Res J.1994;14(4):313–322. , , , , .
- Effects of outcome on in‐hospital transition from intravenous insulin infusion to subcutaneous therapy.Am J Cardiol.2006;98:557–564. , .
- Evidence for strict inpatient blood glucose control: time to revise glycemic goals in hospitalized patients.Metabolism.2008;57:116–120. , , .
Copyright © 2009 Society of Hospital Medicine