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False Estradiol Results From Interaction With Fulvestrant
Estradiol testing may guide treatment for patients with estrogen receptor-positive breast cancer, but researchers from Rush University Medical Center in Chicago, Illinois, have a cautionary report about relying on that when fulvestrant, an estrogen receptor antagonist, is used with standard steroid immunoassays. They report on a patient who had a falsely elevated estradiol reading that led to unnecessary procedures.
Related: Delayed Adjuvant Chemotherapy Significantly Affects Breast Cancer Recovery
Their patient underwent a bilateral oophorectomy and was then started on anti-estrogen therapy with letrozole and fulvestrant, as well as zoledronic acid. At the patient’s request, her primary oncologist obtained a serum estradiol level, which was “unexpectedly” high. The finding was puzzling, the authors say, because she had reported menopausal symptoms, such as hot flashes, which were not consistent with the estradiol level obtained. She also had a complete clinical response to treatment, according to symptoms, radiologic findings, and decreasing levels of carcinoma antigen 125.
A pelvic ultrasound revealed a possible small soft tissue density in the left adnexal region—a “concerning” finding suggesting ovarian remnant syndrome, a rare condition in which ovarian tissue remains after oophorectomy.
Related: Extending Therapy for Breast Cancer
After additional imaging and laparoscopy, pathology revealed fibrovascular and adipose tissue, but no ovarian tissue, ruling out ovarian remnant syndrome as the cause of the elevated estradiol.
Endocrinologists suspected that fulvestrant, which has a molecular structure similar to that of estradiol, was reacting with the standard estradiol immunoassay. That theory was confirmed by testing the serum estradiol levels with the more sensitive, specific liquid chromatography-tandem mass spectrometry, which showed that the levels were actually undetectable.
Related: USPSTF Supports Mammography Starting at Age 50
Fulvestrant has no known agonist effects; it has not previously been reported to elevate estradiol levels or cross-react with estradiol immunoassays, the authors say. Neither the package insert for fulvestrant nor the product insert for the immunoassay warn about the interaction. The authors, therefore, advise clinicians to be aware of the “high likelihood” of this potential drug-assay interaction.
Source:
Berger D, Waheed S, Fattout Y, Kazlauskaite LU. Clin Breast Cancer. 2016;16(1)e11-e16.
doi: 10.1016/j.clbc.2015.07.004.
Estradiol testing may guide treatment for patients with estrogen receptor-positive breast cancer, but researchers from Rush University Medical Center in Chicago, Illinois, have a cautionary report about relying on that when fulvestrant, an estrogen receptor antagonist, is used with standard steroid immunoassays. They report on a patient who had a falsely elevated estradiol reading that led to unnecessary procedures.
Related: Delayed Adjuvant Chemotherapy Significantly Affects Breast Cancer Recovery
Their patient underwent a bilateral oophorectomy and was then started on anti-estrogen therapy with letrozole and fulvestrant, as well as zoledronic acid. At the patient’s request, her primary oncologist obtained a serum estradiol level, which was “unexpectedly” high. The finding was puzzling, the authors say, because she had reported menopausal symptoms, such as hot flashes, which were not consistent with the estradiol level obtained. She also had a complete clinical response to treatment, according to symptoms, radiologic findings, and decreasing levels of carcinoma antigen 125.
A pelvic ultrasound revealed a possible small soft tissue density in the left adnexal region—a “concerning” finding suggesting ovarian remnant syndrome, a rare condition in which ovarian tissue remains after oophorectomy.
Related: Extending Therapy for Breast Cancer
After additional imaging and laparoscopy, pathology revealed fibrovascular and adipose tissue, but no ovarian tissue, ruling out ovarian remnant syndrome as the cause of the elevated estradiol.
Endocrinologists suspected that fulvestrant, which has a molecular structure similar to that of estradiol, was reacting with the standard estradiol immunoassay. That theory was confirmed by testing the serum estradiol levels with the more sensitive, specific liquid chromatography-tandem mass spectrometry, which showed that the levels were actually undetectable.
Related: USPSTF Supports Mammography Starting at Age 50
Fulvestrant has no known agonist effects; it has not previously been reported to elevate estradiol levels or cross-react with estradiol immunoassays, the authors say. Neither the package insert for fulvestrant nor the product insert for the immunoassay warn about the interaction. The authors, therefore, advise clinicians to be aware of the “high likelihood” of this potential drug-assay interaction.
Source:
Berger D, Waheed S, Fattout Y, Kazlauskaite LU. Clin Breast Cancer. 2016;16(1)e11-e16.
doi: 10.1016/j.clbc.2015.07.004.
Estradiol testing may guide treatment for patients with estrogen receptor-positive breast cancer, but researchers from Rush University Medical Center in Chicago, Illinois, have a cautionary report about relying on that when fulvestrant, an estrogen receptor antagonist, is used with standard steroid immunoassays. They report on a patient who had a falsely elevated estradiol reading that led to unnecessary procedures.
Related: Delayed Adjuvant Chemotherapy Significantly Affects Breast Cancer Recovery
Their patient underwent a bilateral oophorectomy and was then started on anti-estrogen therapy with letrozole and fulvestrant, as well as zoledronic acid. At the patient’s request, her primary oncologist obtained a serum estradiol level, which was “unexpectedly” high. The finding was puzzling, the authors say, because she had reported menopausal symptoms, such as hot flashes, which were not consistent with the estradiol level obtained. She also had a complete clinical response to treatment, according to symptoms, radiologic findings, and decreasing levels of carcinoma antigen 125.
A pelvic ultrasound revealed a possible small soft tissue density in the left adnexal region—a “concerning” finding suggesting ovarian remnant syndrome, a rare condition in which ovarian tissue remains after oophorectomy.
Related: Extending Therapy for Breast Cancer
After additional imaging and laparoscopy, pathology revealed fibrovascular and adipose tissue, but no ovarian tissue, ruling out ovarian remnant syndrome as the cause of the elevated estradiol.
Endocrinologists suspected that fulvestrant, which has a molecular structure similar to that of estradiol, was reacting with the standard estradiol immunoassay. That theory was confirmed by testing the serum estradiol levels with the more sensitive, specific liquid chromatography-tandem mass spectrometry, which showed that the levels were actually undetectable.
Related: USPSTF Supports Mammography Starting at Age 50
Fulvestrant has no known agonist effects; it has not previously been reported to elevate estradiol levels or cross-react with estradiol immunoassays, the authors say. Neither the package insert for fulvestrant nor the product insert for the immunoassay warn about the interaction. The authors, therefore, advise clinicians to be aware of the “high likelihood” of this potential drug-assay interaction.
Source:
Berger D, Waheed S, Fattout Y, Kazlauskaite LU. Clin Breast Cancer. 2016;16(1)e11-e16.
doi: 10.1016/j.clbc.2015.07.004.
Investigating Isotretinoin Inconsistencies
In a JAMA Dermatology article published online on December 2, Lee et al challenged the commonly held belief that laboratory studies should be monitored frequently for patients on isotretinoin. In this systematic review and meta-analysis, abnormalities in liver function tests (LFTs), complete blood cell count (CBC), and lipid panel were compared in a set of 22 randomized clinical trials and 4 retrospective studies (1574 patients). Results revealed changes in the mean laboratory values from baseline (99% CI) of the following: aspartate aminotransferase, 22.67 U/L (19.94–25.41 U/L); alanine aminotransferase, 21.77 U/L (18.96–24.59 U/L); alkaline phosphatase, 88.35 U/L (58.94–117.76 U/L); white blood cell count portion of CBC, 6890/µL (5700–8030/µL); lipid panel (triglycerides, 119.98 mg/dL [98.58–141.39 mg/dL]; total cholesterol, 184.74 mg/dL [178.17–191.31 mg/dL]; low-density lipoprotein cholesterol, 109.23 mg/dL [103.68–114.79 mg/dL]; high-density lipoprotein cholesterol, 42.80 mg/dL [39.84–45.76 mg/dL]).
Although these laboratory values were altered as noted above, only 0.5% of patients exhibited test results statistically above or below the mean laboratory values. Additionally, of these laboratory abnormalities, mean changes were not considered to be high risk based on National Institutes of Health clinical center reference ranges.
What’s the issue?
Last year the residents in-training in our department noted variations in what each faculty member was recommending for isotretinoin laboratory monitoring. Practices ranged from initial then monthly full CBC, LFTs, and lipid panel, to those who only checked these laboratory results initially and at 1 month, to those who only performed review of systems-germane parameters. After reviewing the literature, individual preferences, and cost comparisons, a consensus was reached: tests for aspartate aminotransferase, alanine aminotransferase (in lieu of LFT panel), total cholesterol, triglycerides (in lieu of lipid panel), and relevant pregnancy screens would be performed initially, at month 1, and at month 2.
Lee et al also determined that monthly laboratory testing may not be necessary, especially for this low-risk category of patients, but further study is required to determine if there is a standardized way to approach laboratory testing from a safety and economic standpoint, as each dermatologist who prescribes isotretinoin can identify individual cases in which laboratory monitoring was helpful or uncovered individual comorbidities or toxicities in addition to instances where blood work was prohibitively redundant and expensive.
What is your approach to blood work in isotretinoin patients, and can you identify individual patient populations that require more or less stringent laboratory monitoring?
In a JAMA Dermatology article published online on December 2, Lee et al challenged the commonly held belief that laboratory studies should be monitored frequently for patients on isotretinoin. In this systematic review and meta-analysis, abnormalities in liver function tests (LFTs), complete blood cell count (CBC), and lipid panel were compared in a set of 22 randomized clinical trials and 4 retrospective studies (1574 patients). Results revealed changes in the mean laboratory values from baseline (99% CI) of the following: aspartate aminotransferase, 22.67 U/L (19.94–25.41 U/L); alanine aminotransferase, 21.77 U/L (18.96–24.59 U/L); alkaline phosphatase, 88.35 U/L (58.94–117.76 U/L); white blood cell count portion of CBC, 6890/µL (5700–8030/µL); lipid panel (triglycerides, 119.98 mg/dL [98.58–141.39 mg/dL]; total cholesterol, 184.74 mg/dL [178.17–191.31 mg/dL]; low-density lipoprotein cholesterol, 109.23 mg/dL [103.68–114.79 mg/dL]; high-density lipoprotein cholesterol, 42.80 mg/dL [39.84–45.76 mg/dL]).
Although these laboratory values were altered as noted above, only 0.5% of patients exhibited test results statistically above or below the mean laboratory values. Additionally, of these laboratory abnormalities, mean changes were not considered to be high risk based on National Institutes of Health clinical center reference ranges.
What’s the issue?
Last year the residents in-training in our department noted variations in what each faculty member was recommending for isotretinoin laboratory monitoring. Practices ranged from initial then monthly full CBC, LFTs, and lipid panel, to those who only checked these laboratory results initially and at 1 month, to those who only performed review of systems-germane parameters. After reviewing the literature, individual preferences, and cost comparisons, a consensus was reached: tests for aspartate aminotransferase, alanine aminotransferase (in lieu of LFT panel), total cholesterol, triglycerides (in lieu of lipid panel), and relevant pregnancy screens would be performed initially, at month 1, and at month 2.
Lee et al also determined that monthly laboratory testing may not be necessary, especially for this low-risk category of patients, but further study is required to determine if there is a standardized way to approach laboratory testing from a safety and economic standpoint, as each dermatologist who prescribes isotretinoin can identify individual cases in which laboratory monitoring was helpful or uncovered individual comorbidities or toxicities in addition to instances where blood work was prohibitively redundant and expensive.
What is your approach to blood work in isotretinoin patients, and can you identify individual patient populations that require more or less stringent laboratory monitoring?
In a JAMA Dermatology article published online on December 2, Lee et al challenged the commonly held belief that laboratory studies should be monitored frequently for patients on isotretinoin. In this systematic review and meta-analysis, abnormalities in liver function tests (LFTs), complete blood cell count (CBC), and lipid panel were compared in a set of 22 randomized clinical trials and 4 retrospective studies (1574 patients). Results revealed changes in the mean laboratory values from baseline (99% CI) of the following: aspartate aminotransferase, 22.67 U/L (19.94–25.41 U/L); alanine aminotransferase, 21.77 U/L (18.96–24.59 U/L); alkaline phosphatase, 88.35 U/L (58.94–117.76 U/L); white blood cell count portion of CBC, 6890/µL (5700–8030/µL); lipid panel (triglycerides, 119.98 mg/dL [98.58–141.39 mg/dL]; total cholesterol, 184.74 mg/dL [178.17–191.31 mg/dL]; low-density lipoprotein cholesterol, 109.23 mg/dL [103.68–114.79 mg/dL]; high-density lipoprotein cholesterol, 42.80 mg/dL [39.84–45.76 mg/dL]).
Although these laboratory values were altered as noted above, only 0.5% of patients exhibited test results statistically above or below the mean laboratory values. Additionally, of these laboratory abnormalities, mean changes were not considered to be high risk based on National Institutes of Health clinical center reference ranges.
What’s the issue?
Last year the residents in-training in our department noted variations in what each faculty member was recommending for isotretinoin laboratory monitoring. Practices ranged from initial then monthly full CBC, LFTs, and lipid panel, to those who only checked these laboratory results initially and at 1 month, to those who only performed review of systems-germane parameters. After reviewing the literature, individual preferences, and cost comparisons, a consensus was reached: tests for aspartate aminotransferase, alanine aminotransferase (in lieu of LFT panel), total cholesterol, triglycerides (in lieu of lipid panel), and relevant pregnancy screens would be performed initially, at month 1, and at month 2.
Lee et al also determined that monthly laboratory testing may not be necessary, especially for this low-risk category of patients, but further study is required to determine if there is a standardized way to approach laboratory testing from a safety and economic standpoint, as each dermatologist who prescribes isotretinoin can identify individual cases in which laboratory monitoring was helpful or uncovered individual comorbidities or toxicities in addition to instances where blood work was prohibitively redundant and expensive.
What is your approach to blood work in isotretinoin patients, and can you identify individual patient populations that require more or less stringent laboratory monitoring?
Fertility preservation in early cervical cancer
Historically, the standard of care for women diagnosed with early cervical cancer has been radical hysterectomy. Thus, young women are not only being confronted with a cancer diagnosis, but may also be forced to cope with the loss of their fertility.
As many young women with cervical cancer were not accepting of this treatment, Dr. Daniel Dargent pioneered the vaginal radical trachelectomy as a fertility-preserving treatment option for early cervical cancer in 1994. There have now been more than 900 vaginal radical trachelectomies performed and they have been shown to have oncologic outcomes similar to those of traditional radical hysterectomy, while sparing a woman’s fertility (Int J Gynecol Cancer. 2013 Jul;23[6]:982-9).
Obstetric outcomes following vaginal radical trachelectomy are acceptable with 17% miscarriage rate in the first trimester (compared to 10%-20% in the general population) and 8% in the second trimester (compared to 1%-5% in the general population) (Am Fam Physician. 2007 Nov 1;76[9]:1341-6). Following vaginal radical trachelectomy, 64% of pregnancies deliver at term.
The usual criteria required to undergo radical trachelectomy include:
1) Reproductive age with desire for fertility.
2) Stage IA1 with LVSI (lymphovascular space invasion), IA2, or IB1 with tumor less than 2 cm.
3) Limited endocervical involvement via preoperative MRI.
4) Negative pelvic lymph nodes.
Preoperative PET scan can be used to evaluate nodal status, but suspicious lymph nodes should be evaluated on frozen section at the time of surgery. The presence of LVSI alone is not a contraindication to trachelectomy.
A key limitation of vaginal radical trachelectomy is the specialized training required to perform this technically challenging procedure. Few surgeons in the United States are trained to perform vaginal radical trachelectomy. In response to this limitation, surgeons began to attempt radical trachelectomy via laparotomy (Gynecol Oncol. 2006 Dec;103[3]:807-13). Oncologic outcomes following fertility-sparing abdominal radical trachelectomy have been reported to be equivalent to radical hysterectomy. Concerns regarding the abdominal approach to radical trachelectomy include higher rates of second trimester loss (19%) when compared to the vaginal approach (8%), higher rate of loss of fertility (30%), and risk of postoperative adhesions.
The advent of minimally invasive surgery, particularly robotic surgery, now offers surgeons the ability to perform a procedure technically similar to radical hysterectomy using a minimally invasive approach. Given the similarity of procedural steps of radical trachelectomy to radical hysterectomy using the robotic platform, this procedure is gaining acceptance in the United States with an associated improved surgeon learning curve (Gynecol Oncol. 2008 Nov;111[2]:255-60). In addition, the use of minimally invasive surgery should result in less adhesion formation facilitating natural fertility options postoperatively.
Obstetric and fertility outcomes are limited following minimally invasive radical trachelectomy via laparoscopy or robotic surgery given the novelty of this procedure. Emerging obstetric outcomes appear reassuring, but further data are needed to fully understand the effects of this procedure on pregnancy outcomes and the need for assisted reproductive techniques to achieve pregnancy.
The management of pregnancies following radical trachelectomy is also an area with limited data, which presents a clinical challenge to obstetricians. Many gynecologic oncologists perform a permanent cerclage at the time of trachelectomy and recommend delivery via scheduled cesarean at term for all subsequent pregnancies prior to labor (usually 37-38 weeks).
At our institution, we recommend the use of progesterone from 16 to 36 weeks despite no clear evidence on the role of progesterone in this setting. Maternal-fetal medicine consultation should be considered to either follow these patients during their pregnancies or to perform a single consultative visit to guide antepartum care.
Some have advocated for less radical surgery, such as simple trachelectomy or large cold knife conization, as the risk of parametrial extension in these patients is low (Gynecol Oncol. 2011 Dec;123[3]:557-60). More data are needed to determine if this is a safe approach. Further, the use of neoadjuvant chemotherapy followed by cold knife conization for fertility preservation in women with larger tumors has been proposed. This may be a feasible option in women with chemo-sensitive tumors, but progression on chemotherapy and increased recurrences have been reported with this approach (Gynecol Oncol. 2008 Dec;111[3]:438-43).
Women of reproductive age diagnosed with early cervical cancer now have multiple options for fertility preservation. Ongoing research regarding obstetric and fertility outcomes is needed; however, oncologic outcomes appear to be equivalent.
Dr. Clark is a fellow in the division of gynecologic oncology, department of obstetrics and gynecology, at the University of North Carolina, Chapel Hill. Dr. Boggess is an expert in robotic surgery in gynecologic oncology and is a professor in the division of gynecologic oncology at UNC–Chapel Hill. They reported having no financial disclosures relevant to this column. Email them at [email protected].
Historically, the standard of care for women diagnosed with early cervical cancer has been radical hysterectomy. Thus, young women are not only being confronted with a cancer diagnosis, but may also be forced to cope with the loss of their fertility.
As many young women with cervical cancer were not accepting of this treatment, Dr. Daniel Dargent pioneered the vaginal radical trachelectomy as a fertility-preserving treatment option for early cervical cancer in 1994. There have now been more than 900 vaginal radical trachelectomies performed and they have been shown to have oncologic outcomes similar to those of traditional radical hysterectomy, while sparing a woman’s fertility (Int J Gynecol Cancer. 2013 Jul;23[6]:982-9).
Obstetric outcomes following vaginal radical trachelectomy are acceptable with 17% miscarriage rate in the first trimester (compared to 10%-20% in the general population) and 8% in the second trimester (compared to 1%-5% in the general population) (Am Fam Physician. 2007 Nov 1;76[9]:1341-6). Following vaginal radical trachelectomy, 64% of pregnancies deliver at term.
The usual criteria required to undergo radical trachelectomy include:
1) Reproductive age with desire for fertility.
2) Stage IA1 with LVSI (lymphovascular space invasion), IA2, or IB1 with tumor less than 2 cm.
3) Limited endocervical involvement via preoperative MRI.
4) Negative pelvic lymph nodes.
Preoperative PET scan can be used to evaluate nodal status, but suspicious lymph nodes should be evaluated on frozen section at the time of surgery. The presence of LVSI alone is not a contraindication to trachelectomy.
A key limitation of vaginal radical trachelectomy is the specialized training required to perform this technically challenging procedure. Few surgeons in the United States are trained to perform vaginal radical trachelectomy. In response to this limitation, surgeons began to attempt radical trachelectomy via laparotomy (Gynecol Oncol. 2006 Dec;103[3]:807-13). Oncologic outcomes following fertility-sparing abdominal radical trachelectomy have been reported to be equivalent to radical hysterectomy. Concerns regarding the abdominal approach to radical trachelectomy include higher rates of second trimester loss (19%) when compared to the vaginal approach (8%), higher rate of loss of fertility (30%), and risk of postoperative adhesions.
The advent of minimally invasive surgery, particularly robotic surgery, now offers surgeons the ability to perform a procedure technically similar to radical hysterectomy using a minimally invasive approach. Given the similarity of procedural steps of radical trachelectomy to radical hysterectomy using the robotic platform, this procedure is gaining acceptance in the United States with an associated improved surgeon learning curve (Gynecol Oncol. 2008 Nov;111[2]:255-60). In addition, the use of minimally invasive surgery should result in less adhesion formation facilitating natural fertility options postoperatively.
Obstetric and fertility outcomes are limited following minimally invasive radical trachelectomy via laparoscopy or robotic surgery given the novelty of this procedure. Emerging obstetric outcomes appear reassuring, but further data are needed to fully understand the effects of this procedure on pregnancy outcomes and the need for assisted reproductive techniques to achieve pregnancy.
The management of pregnancies following radical trachelectomy is also an area with limited data, which presents a clinical challenge to obstetricians. Many gynecologic oncologists perform a permanent cerclage at the time of trachelectomy and recommend delivery via scheduled cesarean at term for all subsequent pregnancies prior to labor (usually 37-38 weeks).
At our institution, we recommend the use of progesterone from 16 to 36 weeks despite no clear evidence on the role of progesterone in this setting. Maternal-fetal medicine consultation should be considered to either follow these patients during their pregnancies or to perform a single consultative visit to guide antepartum care.
Some have advocated for less radical surgery, such as simple trachelectomy or large cold knife conization, as the risk of parametrial extension in these patients is low (Gynecol Oncol. 2011 Dec;123[3]:557-60). More data are needed to determine if this is a safe approach. Further, the use of neoadjuvant chemotherapy followed by cold knife conization for fertility preservation in women with larger tumors has been proposed. This may be a feasible option in women with chemo-sensitive tumors, but progression on chemotherapy and increased recurrences have been reported with this approach (Gynecol Oncol. 2008 Dec;111[3]:438-43).
Women of reproductive age diagnosed with early cervical cancer now have multiple options for fertility preservation. Ongoing research regarding obstetric and fertility outcomes is needed; however, oncologic outcomes appear to be equivalent.
Dr. Clark is a fellow in the division of gynecologic oncology, department of obstetrics and gynecology, at the University of North Carolina, Chapel Hill. Dr. Boggess is an expert in robotic surgery in gynecologic oncology and is a professor in the division of gynecologic oncology at UNC–Chapel Hill. They reported having no financial disclosures relevant to this column. Email them at [email protected].
Historically, the standard of care for women diagnosed with early cervical cancer has been radical hysterectomy. Thus, young women are not only being confronted with a cancer diagnosis, but may also be forced to cope with the loss of their fertility.
As many young women with cervical cancer were not accepting of this treatment, Dr. Daniel Dargent pioneered the vaginal radical trachelectomy as a fertility-preserving treatment option for early cervical cancer in 1994. There have now been more than 900 vaginal radical trachelectomies performed and they have been shown to have oncologic outcomes similar to those of traditional radical hysterectomy, while sparing a woman’s fertility (Int J Gynecol Cancer. 2013 Jul;23[6]:982-9).
Obstetric outcomes following vaginal radical trachelectomy are acceptable with 17% miscarriage rate in the first trimester (compared to 10%-20% in the general population) and 8% in the second trimester (compared to 1%-5% in the general population) (Am Fam Physician. 2007 Nov 1;76[9]:1341-6). Following vaginal radical trachelectomy, 64% of pregnancies deliver at term.
The usual criteria required to undergo radical trachelectomy include:
1) Reproductive age with desire for fertility.
2) Stage IA1 with LVSI (lymphovascular space invasion), IA2, or IB1 with tumor less than 2 cm.
3) Limited endocervical involvement via preoperative MRI.
4) Negative pelvic lymph nodes.
Preoperative PET scan can be used to evaluate nodal status, but suspicious lymph nodes should be evaluated on frozen section at the time of surgery. The presence of LVSI alone is not a contraindication to trachelectomy.
A key limitation of vaginal radical trachelectomy is the specialized training required to perform this technically challenging procedure. Few surgeons in the United States are trained to perform vaginal radical trachelectomy. In response to this limitation, surgeons began to attempt radical trachelectomy via laparotomy (Gynecol Oncol. 2006 Dec;103[3]:807-13). Oncologic outcomes following fertility-sparing abdominal radical trachelectomy have been reported to be equivalent to radical hysterectomy. Concerns regarding the abdominal approach to radical trachelectomy include higher rates of second trimester loss (19%) when compared to the vaginal approach (8%), higher rate of loss of fertility (30%), and risk of postoperative adhesions.
The advent of minimally invasive surgery, particularly robotic surgery, now offers surgeons the ability to perform a procedure technically similar to radical hysterectomy using a minimally invasive approach. Given the similarity of procedural steps of radical trachelectomy to radical hysterectomy using the robotic platform, this procedure is gaining acceptance in the United States with an associated improved surgeon learning curve (Gynecol Oncol. 2008 Nov;111[2]:255-60). In addition, the use of minimally invasive surgery should result in less adhesion formation facilitating natural fertility options postoperatively.
Obstetric and fertility outcomes are limited following minimally invasive radical trachelectomy via laparoscopy or robotic surgery given the novelty of this procedure. Emerging obstetric outcomes appear reassuring, but further data are needed to fully understand the effects of this procedure on pregnancy outcomes and the need for assisted reproductive techniques to achieve pregnancy.
The management of pregnancies following radical trachelectomy is also an area with limited data, which presents a clinical challenge to obstetricians. Many gynecologic oncologists perform a permanent cerclage at the time of trachelectomy and recommend delivery via scheduled cesarean at term for all subsequent pregnancies prior to labor (usually 37-38 weeks).
At our institution, we recommend the use of progesterone from 16 to 36 weeks despite no clear evidence on the role of progesterone in this setting. Maternal-fetal medicine consultation should be considered to either follow these patients during their pregnancies or to perform a single consultative visit to guide antepartum care.
Some have advocated for less radical surgery, such as simple trachelectomy or large cold knife conization, as the risk of parametrial extension in these patients is low (Gynecol Oncol. 2011 Dec;123[3]:557-60). More data are needed to determine if this is a safe approach. Further, the use of neoadjuvant chemotherapy followed by cold knife conization for fertility preservation in women with larger tumors has been proposed. This may be a feasible option in women with chemo-sensitive tumors, but progression on chemotherapy and increased recurrences have been reported with this approach (Gynecol Oncol. 2008 Dec;111[3]:438-43).
Women of reproductive age diagnosed with early cervical cancer now have multiple options for fertility preservation. Ongoing research regarding obstetric and fertility outcomes is needed; however, oncologic outcomes appear to be equivalent.
Dr. Clark is a fellow in the division of gynecologic oncology, department of obstetrics and gynecology, at the University of North Carolina, Chapel Hill. Dr. Boggess is an expert in robotic surgery in gynecologic oncology and is a professor in the division of gynecologic oncology at UNC–Chapel Hill. They reported having no financial disclosures relevant to this column. Email them at [email protected].
Families Perceive Few Benefits From Aggressive End-of-Life Care
Bereaved families were substantially more satisfied with end-of-life cancer care when patients did not die in hospital, received more than 3 days of hospice care, and did not enter the ICU within 30 days of dying, according to a multicenter, prospective study published online Jan. 19 in JAMA.
The analysis is one of the first of its type to assess these end-of-life care indicators, said Dr. Alexi Wright of Harvard Medical School, Boston, and her associates. The findings could affect health policy as electronic health records expand under the Health Information Technology for Economic and Clinical Health Act, they said.
End-of-life cancer care has become increasingly aggressive, belying evidence that this approach does not improve patient outcomes, quality of life, or caregiver bereavement. To explore alternatives, the researchers analyzed 1,146 interviews of family members of Medicare patients who died of lung or colorectal cancer by 2011. Their data source was the multiregional, prospective, observational Cancer Care Outcomes Research and Surveillance (CanCORS) study (JAMA 2016;315:284-92).
Family members described end-of-life care as “excellent” 59% of the time when hospice care lasted more 3 days, but 43% of the time otherwise (95% confidence interval for adjusted difference, 11% to 22%). Notably, 73% of patients who received more than 3 days of hospice care died in their preferred location, compared with 40% of patients who received less or no hospice care. Care was rated as excellent 52% of the time when ICU admission was avoided within 30 days of death, and 57% of the time when patients died outside the hospital, compared with 45% and 42% of the time otherwise.
The results support “advance care planning consistent with the preferences of patients,” said the investigators. They recommended more extensive counseling of cancer patients and families, earlier palliative care referrals, and an audit and feedback system to monitor the use of aggressive end-of-life care.
The National Cancer Institute and the Cancer Care Outcomes Research and Surveillance Consortium funded the study. One coinvestigator reported financial relationships with the American Academy of Hospice and Palliative Medicine, National Institute of Nursing Research, National Institute on Aging, Retirement Research Retirement Foundation, California Healthcare Foundation, Commonwealth Fund, West Health Institute, University of Wisconsin, and UpToDate.com. Senior author Dr. Mary Landrum, also of Harvard Medical School, reported grant funding from Pfizer and personal fees from McKinsey and Company and Greylock McKinnon Associates. The other authors had no disclosures.
Bereaved families were substantially more satisfied with end-of-life cancer care when patients did not die in hospital, received more than 3 days of hospice care, and did not enter the ICU within 30 days of dying, according to a multicenter, prospective study published online Jan. 19 in JAMA.
The analysis is one of the first of its type to assess these end-of-life care indicators, said Dr. Alexi Wright of Harvard Medical School, Boston, and her associates. The findings could affect health policy as electronic health records expand under the Health Information Technology for Economic and Clinical Health Act, they said.
End-of-life cancer care has become increasingly aggressive, belying evidence that this approach does not improve patient outcomes, quality of life, or caregiver bereavement. To explore alternatives, the researchers analyzed 1,146 interviews of family members of Medicare patients who died of lung or colorectal cancer by 2011. Their data source was the multiregional, prospective, observational Cancer Care Outcomes Research and Surveillance (CanCORS) study (JAMA 2016;315:284-92).
Family members described end-of-life care as “excellent” 59% of the time when hospice care lasted more 3 days, but 43% of the time otherwise (95% confidence interval for adjusted difference, 11% to 22%). Notably, 73% of patients who received more than 3 days of hospice care died in their preferred location, compared with 40% of patients who received less or no hospice care. Care was rated as excellent 52% of the time when ICU admission was avoided within 30 days of death, and 57% of the time when patients died outside the hospital, compared with 45% and 42% of the time otherwise.
The results support “advance care planning consistent with the preferences of patients,” said the investigators. They recommended more extensive counseling of cancer patients and families, earlier palliative care referrals, and an audit and feedback system to monitor the use of aggressive end-of-life care.
The National Cancer Institute and the Cancer Care Outcomes Research and Surveillance Consortium funded the study. One coinvestigator reported financial relationships with the American Academy of Hospice and Palliative Medicine, National Institute of Nursing Research, National Institute on Aging, Retirement Research Retirement Foundation, California Healthcare Foundation, Commonwealth Fund, West Health Institute, University of Wisconsin, and UpToDate.com. Senior author Dr. Mary Landrum, also of Harvard Medical School, reported grant funding from Pfizer and personal fees from McKinsey and Company and Greylock McKinnon Associates. The other authors had no disclosures.
Bereaved families were substantially more satisfied with end-of-life cancer care when patients did not die in hospital, received more than 3 days of hospice care, and did not enter the ICU within 30 days of dying, according to a multicenter, prospective study published online Jan. 19 in JAMA.
The analysis is one of the first of its type to assess these end-of-life care indicators, said Dr. Alexi Wright of Harvard Medical School, Boston, and her associates. The findings could affect health policy as electronic health records expand under the Health Information Technology for Economic and Clinical Health Act, they said.
End-of-life cancer care has become increasingly aggressive, belying evidence that this approach does not improve patient outcomes, quality of life, or caregiver bereavement. To explore alternatives, the researchers analyzed 1,146 interviews of family members of Medicare patients who died of lung or colorectal cancer by 2011. Their data source was the multiregional, prospective, observational Cancer Care Outcomes Research and Surveillance (CanCORS) study (JAMA 2016;315:284-92).
Family members described end-of-life care as “excellent” 59% of the time when hospice care lasted more 3 days, but 43% of the time otherwise (95% confidence interval for adjusted difference, 11% to 22%). Notably, 73% of patients who received more than 3 days of hospice care died in their preferred location, compared with 40% of patients who received less or no hospice care. Care was rated as excellent 52% of the time when ICU admission was avoided within 30 days of death, and 57% of the time when patients died outside the hospital, compared with 45% and 42% of the time otherwise.
The results support “advance care planning consistent with the preferences of patients,” said the investigators. They recommended more extensive counseling of cancer patients and families, earlier palliative care referrals, and an audit and feedback system to monitor the use of aggressive end-of-life care.
The National Cancer Institute and the Cancer Care Outcomes Research and Surveillance Consortium funded the study. One coinvestigator reported financial relationships with the American Academy of Hospice and Palliative Medicine, National Institute of Nursing Research, National Institute on Aging, Retirement Research Retirement Foundation, California Healthcare Foundation, Commonwealth Fund, West Health Institute, University of Wisconsin, and UpToDate.com. Senior author Dr. Mary Landrum, also of Harvard Medical School, reported grant funding from Pfizer and personal fees from McKinsey and Company and Greylock McKinnon Associates. The other authors had no disclosures.
FROM JAMA
HM Groups Invited to Participate in 2016 State of Hospital Medicine Survey
Every other year, SHM’s practice analysis subcommittee invites all U.S. hospital medicine groups to participate in the State of Hospital Medicine (SOHM) survey. Your responses generate the authoritative report on how today’s hospital medicine groups are organized, scheduled, funded, compensated, staffed, and much more. After months of refining and updating, the survey opened on Jan. 11. The time has arrived for you to respond to this critical survey!
Empower Your Hospitalist Program
Hospital medicine has seen the most dramatic growth and evolution of any specialty in the last two decades. Although all practices innovate in response to shifting demands, leaders and hospitalists alike need to understand how the frontrunners in this dynamic field have adapted. The SoHM report summarizes thousands of data points about the latest trends in hospital medicine practice design and productivity.
Hospitalist group leaders depend on this information to draw comparisons against national benchmarks, both for improvement and as a frame of reference for demonstrating the value your group provides to your hospital. However, the report is only as good as the number and quality of the responses to the survey.
How To Get Engaged
Responding to the survey is straightforward through the web-based questionnaire, and only one response is needed from each group. The survey does require some modest preparation to look up such practice characteristics as CPT code distribution, total RVU generation, and average number of shifts per FTE. For many groups, a hospitalist and a practice manager can collaborate to answer all of the questions accurately. If you haven’t already, take some basic steps to prepare:
- Discuss the survey at your next group meeting and advocate for responding.
- Determine who will complete the survey on behalf of your group.
- Visit www.hospitalmedicine.org/survey and download the survey instrument and instructions, share them with the lead respondent for your group.
- Submit your responses by March 11.
Of note, you’ll also want to participate in the Medical Group Management Association (MGMA) survey, as well. SHM licenses key portions of the SoHM report from MGMA, such as provider compensation, so the complete report depends on having great responses to both instruments.
Why Participate?
First, hospitalist groups that respond to the Survey will get a FREE copy of the report. Have you wondered things like:
- “How many groups are using a scheduling model other than 7-on, 7-off?”
- “What percentage of groups staff an observation unit?”
- “Are hospitalists groups taking on new roles in Accountable Care Organizations (ACOs)?”
- “How does compensation differ for providers who see children or are in academics?”
If so, you’ll have those answers at your fingertips and a whole lot more.
Second, you’ll have the satisfaction of knowing that you helped to make the SoHM report the indispensable tool upon which group leaders everywhere depend. The survey is anonymous, but respondents will know that the report presents data on the most relevant HM group of all—your own! Don’t wait.
Participate today at www.hospitalmedicine.org/survey. TH
Dr. White is assistant professor of medicine at the University of Washington and group director at the University of Washington Medical Center in Seattle, Wash.
Every other year, SHM’s practice analysis subcommittee invites all U.S. hospital medicine groups to participate in the State of Hospital Medicine (SOHM) survey. Your responses generate the authoritative report on how today’s hospital medicine groups are organized, scheduled, funded, compensated, staffed, and much more. After months of refining and updating, the survey opened on Jan. 11. The time has arrived for you to respond to this critical survey!
Empower Your Hospitalist Program
Hospital medicine has seen the most dramatic growth and evolution of any specialty in the last two decades. Although all practices innovate in response to shifting demands, leaders and hospitalists alike need to understand how the frontrunners in this dynamic field have adapted. The SoHM report summarizes thousands of data points about the latest trends in hospital medicine practice design and productivity.
Hospitalist group leaders depend on this information to draw comparisons against national benchmarks, both for improvement and as a frame of reference for demonstrating the value your group provides to your hospital. However, the report is only as good as the number and quality of the responses to the survey.
How To Get Engaged
Responding to the survey is straightforward through the web-based questionnaire, and only one response is needed from each group. The survey does require some modest preparation to look up such practice characteristics as CPT code distribution, total RVU generation, and average number of shifts per FTE. For many groups, a hospitalist and a practice manager can collaborate to answer all of the questions accurately. If you haven’t already, take some basic steps to prepare:
- Discuss the survey at your next group meeting and advocate for responding.
- Determine who will complete the survey on behalf of your group.
- Visit www.hospitalmedicine.org/survey and download the survey instrument and instructions, share them with the lead respondent for your group.
- Submit your responses by March 11.
Of note, you’ll also want to participate in the Medical Group Management Association (MGMA) survey, as well. SHM licenses key portions of the SoHM report from MGMA, such as provider compensation, so the complete report depends on having great responses to both instruments.
Why Participate?
First, hospitalist groups that respond to the Survey will get a FREE copy of the report. Have you wondered things like:
- “How many groups are using a scheduling model other than 7-on, 7-off?”
- “What percentage of groups staff an observation unit?”
- “Are hospitalists groups taking on new roles in Accountable Care Organizations (ACOs)?”
- “How does compensation differ for providers who see children or are in academics?”
If so, you’ll have those answers at your fingertips and a whole lot more.
Second, you’ll have the satisfaction of knowing that you helped to make the SoHM report the indispensable tool upon which group leaders everywhere depend. The survey is anonymous, but respondents will know that the report presents data on the most relevant HM group of all—your own! Don’t wait.
Participate today at www.hospitalmedicine.org/survey. TH
Dr. White is assistant professor of medicine at the University of Washington and group director at the University of Washington Medical Center in Seattle, Wash.
Every other year, SHM’s practice analysis subcommittee invites all U.S. hospital medicine groups to participate in the State of Hospital Medicine (SOHM) survey. Your responses generate the authoritative report on how today’s hospital medicine groups are organized, scheduled, funded, compensated, staffed, and much more. After months of refining and updating, the survey opened on Jan. 11. The time has arrived for you to respond to this critical survey!
Empower Your Hospitalist Program
Hospital medicine has seen the most dramatic growth and evolution of any specialty in the last two decades. Although all practices innovate in response to shifting demands, leaders and hospitalists alike need to understand how the frontrunners in this dynamic field have adapted. The SoHM report summarizes thousands of data points about the latest trends in hospital medicine practice design and productivity.
Hospitalist group leaders depend on this information to draw comparisons against national benchmarks, both for improvement and as a frame of reference for demonstrating the value your group provides to your hospital. However, the report is only as good as the number and quality of the responses to the survey.
How To Get Engaged
Responding to the survey is straightforward through the web-based questionnaire, and only one response is needed from each group. The survey does require some modest preparation to look up such practice characteristics as CPT code distribution, total RVU generation, and average number of shifts per FTE. For many groups, a hospitalist and a practice manager can collaborate to answer all of the questions accurately. If you haven’t already, take some basic steps to prepare:
- Discuss the survey at your next group meeting and advocate for responding.
- Determine who will complete the survey on behalf of your group.
- Visit www.hospitalmedicine.org/survey and download the survey instrument and instructions, share them with the lead respondent for your group.
- Submit your responses by March 11.
Of note, you’ll also want to participate in the Medical Group Management Association (MGMA) survey, as well. SHM licenses key portions of the SoHM report from MGMA, such as provider compensation, so the complete report depends on having great responses to both instruments.
Why Participate?
First, hospitalist groups that respond to the Survey will get a FREE copy of the report. Have you wondered things like:
- “How many groups are using a scheduling model other than 7-on, 7-off?”
- “What percentage of groups staff an observation unit?”
- “Are hospitalists groups taking on new roles in Accountable Care Organizations (ACOs)?”
- “How does compensation differ for providers who see children or are in academics?”
If so, you’ll have those answers at your fingertips and a whole lot more.
Second, you’ll have the satisfaction of knowing that you helped to make the SoHM report the indispensable tool upon which group leaders everywhere depend. The survey is anonymous, but respondents will know that the report presents data on the most relevant HM group of all—your own! Don’t wait.
Participate today at www.hospitalmedicine.org/survey. TH
Dr. White is assistant professor of medicine at the University of Washington and group director at the University of Washington Medical Center in Seattle, Wash.
End-of-life cancer care by country
in the intensive care unit
A study of end-of-life cancer care practices in 7 countries suggests the US has the lowest proportion of deaths in the hospital and the lowest number of days in the hospital for patients in their last 6 months of life.
However, the US performed poorly in other aspects of care, particularly intensive care unit admissions and hospital expenditures.
The other countries included in the study were Belgium, Canada, England, Germany, the Netherlands, and Norway.
The research was published in JAMA.
Ezekiel J. Emanuel, MD, PhD, of the University of Pennsylvania in Philadelphia, and his colleagues examined patterns of care, healthcare utilization, and expenditures for dying cancer patients in the 7 aforementioned countries.
The researchers first analyzed data from 2010 that included subjects older than 65 years of age who died with cancer.
The proportion of patients who died in the hospital was 22.2% in the US, 29.4% in the Netherlands, 38.3% in Germany, 41.7% in England, 44.7% in Norway, 51.2% in Belgium, and 52.1% in Canada.
In the last 180 days of life, the mean number of days in the hospital per capita was 27.7 in Belgium, 24.8 in Norway, 21.7 in Germany, 19 in Canada, 18.3 in England, 17.8 in the Netherlands, and 10.7 in the US.
The proportion of patients admitted to the intensive care unit in their last 180 days of life was 40.3% in the US, 18.5% in Belgium, 15.2% in Canada, 10.2% in the Netherlands, and 8.2% in Germany. Data were not available for England and Norway.
In the last 180 days of life, average per capita hospital expenditures (in USD) were higher in Canada ($21,840), Norway ($19,783), and the US ($18,500), intermediate in Germany ($16,221) and Belgium ($15,699), and lowest in the Netherlands ($10,936) and England ($9342).
Analyses that included decedents of any age, decedents older than 65 years of age with lung cancer, and decedents older than 65 years in the US and Germany from 2012 showed similar results.
The researchers said this suggests the differences observed were driven more by end-of-life care practices and organization rather than differences in cohort identification.
in the intensive care unit
A study of end-of-life cancer care practices in 7 countries suggests the US has the lowest proportion of deaths in the hospital and the lowest number of days in the hospital for patients in their last 6 months of life.
However, the US performed poorly in other aspects of care, particularly intensive care unit admissions and hospital expenditures.
The other countries included in the study were Belgium, Canada, England, Germany, the Netherlands, and Norway.
The research was published in JAMA.
Ezekiel J. Emanuel, MD, PhD, of the University of Pennsylvania in Philadelphia, and his colleagues examined patterns of care, healthcare utilization, and expenditures for dying cancer patients in the 7 aforementioned countries.
The researchers first analyzed data from 2010 that included subjects older than 65 years of age who died with cancer.
The proportion of patients who died in the hospital was 22.2% in the US, 29.4% in the Netherlands, 38.3% in Germany, 41.7% in England, 44.7% in Norway, 51.2% in Belgium, and 52.1% in Canada.
In the last 180 days of life, the mean number of days in the hospital per capita was 27.7 in Belgium, 24.8 in Norway, 21.7 in Germany, 19 in Canada, 18.3 in England, 17.8 in the Netherlands, and 10.7 in the US.
The proportion of patients admitted to the intensive care unit in their last 180 days of life was 40.3% in the US, 18.5% in Belgium, 15.2% in Canada, 10.2% in the Netherlands, and 8.2% in Germany. Data were not available for England and Norway.
In the last 180 days of life, average per capita hospital expenditures (in USD) were higher in Canada ($21,840), Norway ($19,783), and the US ($18,500), intermediate in Germany ($16,221) and Belgium ($15,699), and lowest in the Netherlands ($10,936) and England ($9342).
Analyses that included decedents of any age, decedents older than 65 years of age with lung cancer, and decedents older than 65 years in the US and Germany from 2012 showed similar results.
The researchers said this suggests the differences observed were driven more by end-of-life care practices and organization rather than differences in cohort identification.
in the intensive care unit
A study of end-of-life cancer care practices in 7 countries suggests the US has the lowest proportion of deaths in the hospital and the lowest number of days in the hospital for patients in their last 6 months of life.
However, the US performed poorly in other aspects of care, particularly intensive care unit admissions and hospital expenditures.
The other countries included in the study were Belgium, Canada, England, Germany, the Netherlands, and Norway.
The research was published in JAMA.
Ezekiel J. Emanuel, MD, PhD, of the University of Pennsylvania in Philadelphia, and his colleagues examined patterns of care, healthcare utilization, and expenditures for dying cancer patients in the 7 aforementioned countries.
The researchers first analyzed data from 2010 that included subjects older than 65 years of age who died with cancer.
The proportion of patients who died in the hospital was 22.2% in the US, 29.4% in the Netherlands, 38.3% in Germany, 41.7% in England, 44.7% in Norway, 51.2% in Belgium, and 52.1% in Canada.
In the last 180 days of life, the mean number of days in the hospital per capita was 27.7 in Belgium, 24.8 in Norway, 21.7 in Germany, 19 in Canada, 18.3 in England, 17.8 in the Netherlands, and 10.7 in the US.
The proportion of patients admitted to the intensive care unit in their last 180 days of life was 40.3% in the US, 18.5% in Belgium, 15.2% in Canada, 10.2% in the Netherlands, and 8.2% in Germany. Data were not available for England and Norway.
In the last 180 days of life, average per capita hospital expenditures (in USD) were higher in Canada ($21,840), Norway ($19,783), and the US ($18,500), intermediate in Germany ($16,221) and Belgium ($15,699), and lowest in the Netherlands ($10,936) and England ($9342).
Analyses that included decedents of any age, decedents older than 65 years of age with lung cancer, and decedents older than 65 years in the US and Germany from 2012 showed similar results.
The researchers said this suggests the differences observed were driven more by end-of-life care practices and organization rather than differences in cohort identification.
Drug granted another breakthrough designation for CLL
The US Food and Drug Administration (FDA) has granted breakthrough therapy designation to the BCL-2 inhibitor venetoclax when given with rituximab to treat patients with relapsed or refractory chronic lymphocytic leukemia (CLL).
Venetoclax already had breakthrough designation from the FDA as single-agent treatment for patients with relapsed or refractory CLL and 17p deletion.
The drug was granted priority review for this indication as well.
Breakthrough therapy designation is designed to accelerate the development and review of medicines that demonstrate early clinical evidence of a substantial improvement over current treatment options for serious diseases.
The latest breakthrough designation for venetoclax is supported by a phase 2 study of the drug in combination with rituximab in patients with relapsed/refractory CLL. Results from this trial were presented at the 2015 ASH Annual Meeting (abstract 325).
Another phase 2 trial presented at that meeting (abstract LBA-6) showed that single-agent venetoclax is effective against CLL as well.
The drug has also proven active against other hematologic malignancies, including acute myeloid lekemia and multiple myeloma.
However, venetoclax has been shown to pose a risk of tumor lysis syndrome (TLS). In fact, TLS-related deaths temporarily halted enrollment in trials of venetoclax. But researchers discovered ways to reduce the risk of TLS, and the trials continued.
Venetoclax is being developed by AbbVie in partnership with Genentech and Roche.
The US Food and Drug Administration (FDA) has granted breakthrough therapy designation to the BCL-2 inhibitor venetoclax when given with rituximab to treat patients with relapsed or refractory chronic lymphocytic leukemia (CLL).
Venetoclax already had breakthrough designation from the FDA as single-agent treatment for patients with relapsed or refractory CLL and 17p deletion.
The drug was granted priority review for this indication as well.
Breakthrough therapy designation is designed to accelerate the development and review of medicines that demonstrate early clinical evidence of a substantial improvement over current treatment options for serious diseases.
The latest breakthrough designation for venetoclax is supported by a phase 2 study of the drug in combination with rituximab in patients with relapsed/refractory CLL. Results from this trial were presented at the 2015 ASH Annual Meeting (abstract 325).
Another phase 2 trial presented at that meeting (abstract LBA-6) showed that single-agent venetoclax is effective against CLL as well.
The drug has also proven active against other hematologic malignancies, including acute myeloid lekemia and multiple myeloma.
However, venetoclax has been shown to pose a risk of tumor lysis syndrome (TLS). In fact, TLS-related deaths temporarily halted enrollment in trials of venetoclax. But researchers discovered ways to reduce the risk of TLS, and the trials continued.
Venetoclax is being developed by AbbVie in partnership with Genentech and Roche.
The US Food and Drug Administration (FDA) has granted breakthrough therapy designation to the BCL-2 inhibitor venetoclax when given with rituximab to treat patients with relapsed or refractory chronic lymphocytic leukemia (CLL).
Venetoclax already had breakthrough designation from the FDA as single-agent treatment for patients with relapsed or refractory CLL and 17p deletion.
The drug was granted priority review for this indication as well.
Breakthrough therapy designation is designed to accelerate the development and review of medicines that demonstrate early clinical evidence of a substantial improvement over current treatment options for serious diseases.
The latest breakthrough designation for venetoclax is supported by a phase 2 study of the drug in combination with rituximab in patients with relapsed/refractory CLL. Results from this trial were presented at the 2015 ASH Annual Meeting (abstract 325).
Another phase 2 trial presented at that meeting (abstract LBA-6) showed that single-agent venetoclax is effective against CLL as well.
The drug has also proven active against other hematologic malignancies, including acute myeloid lekemia and multiple myeloma.
However, venetoclax has been shown to pose a risk of tumor lysis syndrome (TLS). In fact, TLS-related deaths temporarily halted enrollment in trials of venetoclax. But researchers discovered ways to reduce the risk of TLS, and the trials continued.
Venetoclax is being developed by AbbVie in partnership with Genentech and Roche.
Obesity linked to VTE in kids
Photo by Matthew Lester
A single-center, retrospective study has revealed an association between obesity and venous thromboembolism (VTE) in children and adolescents.
While obesity is a well-established risk factor for VTE in adults, previous studies in pediatric populations have yielded mixed results.
The new study, however, showed that obesity, as determined by body mass index (BMI), was a statistically significant predictor of VTE in juveniles.
The research was published in Hospital Pediatrics.
“This is important because the incidence of pediatric VTE has increased dramatically over the last 20 years, and childhood obesity remains highly prevalent in the United States,” said study author Elizabeth Halvorson, MD, of Wake Forest Baptist Medical Center in Winston-Salem, North Carolina.
For this study, she and her colleagues conducted a retrospective chart review of inpatients at Wake Forest Baptist’s Brenner Children’s Hospital between January 2000 and September 2012.
The researchers identified 88 patients, ages 2 to 18, who had confirmed cases of VTE. The team compared these patients to control subjects (2 controls per case) matched by age, gender, and the presence of a central venous catheter.
Of the 88 patients with VTE, 33 (37.5%) were obese, although most of them had known risk factors for VTE in addition to obesity.
In univariate analysis, the researchers found a statistically significant association between VTE and obesity, or increased BMI z score (P=0.002).
In a multivariate analysis, obesity remained a significant predictor of VTE. The odds ratio (OR) was 3.1 (P=0.007).
Other factors were significant predictors of VTE as well, including bacteremia (OR: 4.9; P=0.02), a stay in the intensive care unit (OR: 2.5; P=0.02), and the use of oral contraceptives (OR: 17.4; P<0.001).
“Our study presents data from a single institution with a relatively small sample size,” Dr Halvorson noted. “But it does demonstrate an association between obesity and VTE in children, which should be explored further in larger future studies.”
Photo by Matthew Lester
A single-center, retrospective study has revealed an association between obesity and venous thromboembolism (VTE) in children and adolescents.
While obesity is a well-established risk factor for VTE in adults, previous studies in pediatric populations have yielded mixed results.
The new study, however, showed that obesity, as determined by body mass index (BMI), was a statistically significant predictor of VTE in juveniles.
The research was published in Hospital Pediatrics.
“This is important because the incidence of pediatric VTE has increased dramatically over the last 20 years, and childhood obesity remains highly prevalent in the United States,” said study author Elizabeth Halvorson, MD, of Wake Forest Baptist Medical Center in Winston-Salem, North Carolina.
For this study, she and her colleagues conducted a retrospective chart review of inpatients at Wake Forest Baptist’s Brenner Children’s Hospital between January 2000 and September 2012.
The researchers identified 88 patients, ages 2 to 18, who had confirmed cases of VTE. The team compared these patients to control subjects (2 controls per case) matched by age, gender, and the presence of a central venous catheter.
Of the 88 patients with VTE, 33 (37.5%) were obese, although most of them had known risk factors for VTE in addition to obesity.
In univariate analysis, the researchers found a statistically significant association between VTE and obesity, or increased BMI z score (P=0.002).
In a multivariate analysis, obesity remained a significant predictor of VTE. The odds ratio (OR) was 3.1 (P=0.007).
Other factors were significant predictors of VTE as well, including bacteremia (OR: 4.9; P=0.02), a stay in the intensive care unit (OR: 2.5; P=0.02), and the use of oral contraceptives (OR: 17.4; P<0.001).
“Our study presents data from a single institution with a relatively small sample size,” Dr Halvorson noted. “But it does demonstrate an association between obesity and VTE in children, which should be explored further in larger future studies.”
Photo by Matthew Lester
A single-center, retrospective study has revealed an association between obesity and venous thromboembolism (VTE) in children and adolescents.
While obesity is a well-established risk factor for VTE in adults, previous studies in pediatric populations have yielded mixed results.
The new study, however, showed that obesity, as determined by body mass index (BMI), was a statistically significant predictor of VTE in juveniles.
The research was published in Hospital Pediatrics.
“This is important because the incidence of pediatric VTE has increased dramatically over the last 20 years, and childhood obesity remains highly prevalent in the United States,” said study author Elizabeth Halvorson, MD, of Wake Forest Baptist Medical Center in Winston-Salem, North Carolina.
For this study, she and her colleagues conducted a retrospective chart review of inpatients at Wake Forest Baptist’s Brenner Children’s Hospital between January 2000 and September 2012.
The researchers identified 88 patients, ages 2 to 18, who had confirmed cases of VTE. The team compared these patients to control subjects (2 controls per case) matched by age, gender, and the presence of a central venous catheter.
Of the 88 patients with VTE, 33 (37.5%) were obese, although most of them had known risk factors for VTE in addition to obesity.
In univariate analysis, the researchers found a statistically significant association between VTE and obesity, or increased BMI z score (P=0.002).
In a multivariate analysis, obesity remained a significant predictor of VTE. The odds ratio (OR) was 3.1 (P=0.007).
Other factors were significant predictors of VTE as well, including bacteremia (OR: 4.9; P=0.02), a stay in the intensive care unit (OR: 2.5; P=0.02), and the use of oral contraceptives (OR: 17.4; P<0.001).
“Our study presents data from a single institution with a relatively small sample size,” Dr Halvorson noted. “But it does demonstrate an association between obesity and VTE in children, which should be explored further in larger future studies.”
Protein may be therapeutic target for AML
and Matt McCormack, PhD
Photo courtesy of the
Walter and Eliza Hall
Institute of Medical Research
Preclinical research suggests the Hhex protein could be a cancer-specific therapeutic target for acute myeloid leukemia (AML).
Investigators discovered that loss of the Hhex protein halted leukemia cell growth and division in vitro and in vivo, but normal cells were unaffected by the loss of Hhex.
Matt McCormack, PhD, of the Walter and Eliza Hall Institute of Medical Research in Parkville, Victoria, Australia, and his colleagues relayed these findings in Genes and Development.
“There is an urgent need for new therapies to treat AML,” Dr McCormack said. “We showed blocking the Hhex protein could put the brakes on leukemia growth and completely eliminate AML in preclinical models. This could be targeted by new drugs to treat AML in humans.”
Specifically, the investigators found that Hhex was overexpressed in human AML, and the protein was essential for the maintenance of AML driven by the oncogenic fusion protein MLL-ENL and its downstream effectors, HoxA9 and Meis1.
However, Hhex was not required for normal myelopoiesis.
“Hhex is only essential for the leukemic cells, meaning we could target and treat leukemia without toxic effects on normal cells, avoiding many of the serious side effects that come with standard cancer treatments,” Dr McCormack said.
“We also know that most people with AML have increased levels of Hhex, often associated with adverse outcomes, further indicating it is an important target for new AML drugs.”
Dr McCormack and his colleagues also attempted to determine the mechanism by which Hhex promotes AML.
They found the protein represses the tumor suppressors p16INK4a and p19ARF in leukemic stem cells by regulating the Polycomb-repressive complex 2 (PRC2). They said that Hhex binds to the Cdkn2a locus and directly interacts with PRC2 to enable H3K27me3-mediated epigenetic repression.
“Hhex works by recruiting epigenetic factors to growth-control genes, effectively silencing them,” said author Ben Shields, PhD, also of the Walter and Eliza Hall Institute.
“This allows the leukemia cells to reproduce and accumulate more damage, contributing to the speed of AML progression.”
Dr McCormack said that although drugs inhibiting epigenetic modification have been tested against AML in the past, they have caused significant toxicity because their targets are also required for normal blood cell function.
“Unlike the epigenetic factors targeted previously, Hhex only regulates a small number of genes and is dispensable for normal blood cells,” Dr McCormack reiterated.
“This gives us a rare opportunity to kill AML cells without causing many side effects. We now hope to identify the critical regions of the Hhex protein that enable it to function, which will allow us to design much-needed new drugs to treat AML.”
and Matt McCormack, PhD
Photo courtesy of the
Walter and Eliza Hall
Institute of Medical Research
Preclinical research suggests the Hhex protein could be a cancer-specific therapeutic target for acute myeloid leukemia (AML).
Investigators discovered that loss of the Hhex protein halted leukemia cell growth and division in vitro and in vivo, but normal cells were unaffected by the loss of Hhex.
Matt McCormack, PhD, of the Walter and Eliza Hall Institute of Medical Research in Parkville, Victoria, Australia, and his colleagues relayed these findings in Genes and Development.
“There is an urgent need for new therapies to treat AML,” Dr McCormack said. “We showed blocking the Hhex protein could put the brakes on leukemia growth and completely eliminate AML in preclinical models. This could be targeted by new drugs to treat AML in humans.”
Specifically, the investigators found that Hhex was overexpressed in human AML, and the protein was essential for the maintenance of AML driven by the oncogenic fusion protein MLL-ENL and its downstream effectors, HoxA9 and Meis1.
However, Hhex was not required for normal myelopoiesis.
“Hhex is only essential for the leukemic cells, meaning we could target and treat leukemia without toxic effects on normal cells, avoiding many of the serious side effects that come with standard cancer treatments,” Dr McCormack said.
“We also know that most people with AML have increased levels of Hhex, often associated with adverse outcomes, further indicating it is an important target for new AML drugs.”
Dr McCormack and his colleagues also attempted to determine the mechanism by which Hhex promotes AML.
They found the protein represses the tumor suppressors p16INK4a and p19ARF in leukemic stem cells by regulating the Polycomb-repressive complex 2 (PRC2). They said that Hhex binds to the Cdkn2a locus and directly interacts with PRC2 to enable H3K27me3-mediated epigenetic repression.
“Hhex works by recruiting epigenetic factors to growth-control genes, effectively silencing them,” said author Ben Shields, PhD, also of the Walter and Eliza Hall Institute.
“This allows the leukemia cells to reproduce and accumulate more damage, contributing to the speed of AML progression.”
Dr McCormack said that although drugs inhibiting epigenetic modification have been tested against AML in the past, they have caused significant toxicity because their targets are also required for normal blood cell function.
“Unlike the epigenetic factors targeted previously, Hhex only regulates a small number of genes and is dispensable for normal blood cells,” Dr McCormack reiterated.
“This gives us a rare opportunity to kill AML cells without causing many side effects. We now hope to identify the critical regions of the Hhex protein that enable it to function, which will allow us to design much-needed new drugs to treat AML.”
and Matt McCormack, PhD
Photo courtesy of the
Walter and Eliza Hall
Institute of Medical Research
Preclinical research suggests the Hhex protein could be a cancer-specific therapeutic target for acute myeloid leukemia (AML).
Investigators discovered that loss of the Hhex protein halted leukemia cell growth and division in vitro and in vivo, but normal cells were unaffected by the loss of Hhex.
Matt McCormack, PhD, of the Walter and Eliza Hall Institute of Medical Research in Parkville, Victoria, Australia, and his colleagues relayed these findings in Genes and Development.
“There is an urgent need for new therapies to treat AML,” Dr McCormack said. “We showed blocking the Hhex protein could put the brakes on leukemia growth and completely eliminate AML in preclinical models. This could be targeted by new drugs to treat AML in humans.”
Specifically, the investigators found that Hhex was overexpressed in human AML, and the protein was essential for the maintenance of AML driven by the oncogenic fusion protein MLL-ENL and its downstream effectors, HoxA9 and Meis1.
However, Hhex was not required for normal myelopoiesis.
“Hhex is only essential for the leukemic cells, meaning we could target and treat leukemia without toxic effects on normal cells, avoiding many of the serious side effects that come with standard cancer treatments,” Dr McCormack said.
“We also know that most people with AML have increased levels of Hhex, often associated with adverse outcomes, further indicating it is an important target for new AML drugs.”
Dr McCormack and his colleagues also attempted to determine the mechanism by which Hhex promotes AML.
They found the protein represses the tumor suppressors p16INK4a and p19ARF in leukemic stem cells by regulating the Polycomb-repressive complex 2 (PRC2). They said that Hhex binds to the Cdkn2a locus and directly interacts with PRC2 to enable H3K27me3-mediated epigenetic repression.
“Hhex works by recruiting epigenetic factors to growth-control genes, effectively silencing them,” said author Ben Shields, PhD, also of the Walter and Eliza Hall Institute.
“This allows the leukemia cells to reproduce and accumulate more damage, contributing to the speed of AML progression.”
Dr McCormack said that although drugs inhibiting epigenetic modification have been tested against AML in the past, they have caused significant toxicity because their targets are also required for normal blood cell function.
“Unlike the epigenetic factors targeted previously, Hhex only regulates a small number of genes and is dispensable for normal blood cells,” Dr McCormack reiterated.
“This gives us a rare opportunity to kill AML cells without causing many side effects. We now hope to identify the critical regions of the Hhex protein that enable it to function, which will allow us to design much-needed new drugs to treat AML.”
Poor Hospital Mobility
Low mobility is common in hospitalized older patients, and an independent predictor of poor functional outcomes.[1, 2, 3, 4] Few studies have included younger patients, but care models that support early mobility may reduce functional decline, enhance recovery, and reduce length of stay in older and mixed‐age populations.[5, 6] Barriers to mobility are complex and include patient symptoms and tethers, health provider behavior, team communication, and leadership, device availability, and environmental factors.[7, 8, 9, 10, 11] These contextual factors may differ even within a hospital between patient groups and ward settings. Simple measures to quantify mobility patterns would help address these barriers by providing opportunities for audit and feedback. Although accelerometry is the gold standard method for research, it requires equipment, analysis skills, and patient consent, which limits application in clinical practice. Behavioral mapping is a systematic method of observation developed in stroke patients, which is simple, objective, and requires no direct patient or staff participation,[12] and physical activity levels estimated from behavioral mapping are similar to those identified by accelerometry.[3, 13, 14] In the context of a phased quality‐improvement project aiming to reduce functional decline,[15] we undertook a cross‐sectional audit of mobility on 3 different wards using behavioral mapping, and examined differences among wards and between older (aged 65 years or more) and younger patients.
METHODS
This prospective observational study used cross‐sectional sampling from a 26‐bed general medical ward, a 30‐bed oncology ward, and a 24‐bed vascular surgical ward in a 900‐bed tertiary teaching hospital in Brisbane, Australia. Sampling was undertaken during 4 observation periods (2 mornings [10001400] and 2 afternoons [1400‐1800]) within 10 days in May 2013. All patients on each ward for each period were observed unless they were receiving end‐of‐life care. Structured observations were undertaken using behavioral mapping protocols similar to those previously described in stroke and general medical patients,[12, 13] with each patient room visited in the same sequence. Participants in each room were observed for a 2‐minute period (up to 4 participants could be observed concurrently in shared rooms) before moving to the next room, and the sequence was repeated in the same order for the whole 4‐hour period, with a single 15‐minute break. Depending on ward size and layout, this provided 12 to 17 observations per participant for each 4‐hour period (each individual observed every 1218 minutes). Observations were undertaken by 4 trained physiotherapy student observers using a predetermined set of mutually exclusive levels (lying in bed, sitting in or on the bed, sitting on a chair, standing, actively wheeling, or walking). The study was approved by the Royal Brisbane and Women's Hospital Human Research Ethics Committee as part of a quality‐improvement activity, and individual consent was not required. No clinical data except age and gender were collected for participants. The nurse unit manager for each ward was introduced to the observers and aware that observations were being conducted.
Patients who were observed for less than one‐half of an observation period were excluded so that all participants contributed at least 2 hours of observational data, up to a maximum of 16 hours. The number of valid observations for each participant (excluding time off ward or behind curtains if the level was not apparent) was calculated and used to derive the proportion of valid observations spent at each level for each participant. The proportion of observations at each level was summarized across all participants using frequency distributions and summary statistics. For ease of presentation, mean percentage of observed time in each activity was presented. However, as data were not normally distributed, statistical comparisons were undertaken using the Kruskal‐Wallis test, comparing the distribution of time spent upright (standing, walking, or actively wheeling) between groups (age group and ward). Interaction between age and ward effects was sought using generalized linear modeling.
RESULTS
Valid observations (at least 2 hours in 1 or more observation period) were available for 132 patients (48 medical, 50 oncology, and 34 surgery). Of these, 67 (51 %) were aged 65 years (54% medical, 44% oncology, 56% surgery) and 62 (47%) were male. There were a total of 3891 observations of location (median, 30 per patient; range, 965). Participants were observed in the bedded area 85.1% of observations, with 3.1% in the bathroom, 3.2% in the hallway or patient lounge, and 8.6% off ward. Allowing for time off ward and behind curtains, when observers could not be sure of their activity level, 3272 valid observations were available for physical activity.
More than half of the observed time (mean 57.4%) was spent lying in bed, 33.6% sitting on the bed or chair, and 9.0% standing, walking, or wheeling. Across all observation periods, 39/132 (29.5%) participants were never observed to be standing, walking or wheeling, and 7.6% were in bed at all observations. Comparing older and younger patients (Table 1), there was no difference in the time spent in active upright postures (median, 6.1% in older vs 7.4% in younger; P = 0.30). Table 2 summarizes descriptive data for the different wards. In the medical and surgical wards, 84% of the time was spend in or on the bed, and only 16% of the time was spent sitting in a chair or in active upright postures. Surgical patients, in particular, spent two‐thirds of observation time lying flat in bed, whereas medical patients spent more time sitting up on the bed. On statistical testing, time spent standing/walking/wheeling was significantly lower on the surgical ward (median, 4%; interquartile range [IQR], 010 for surgery; median, 7%; IQR, 013 for medical; and median, 10%; IQR 317 for oncology; P = 0.015). This was also reflected in a higher proportion of surgical patients never seen in an active upright position (44.1% compared to 27.1% medical and 22.0% oncology). Multivariate modeling showed no significant interaction between age and ward.
All Ages, n = 132, Median Observations 29.5, Range 665* | Aged <65 Years, n = 61, Median Observations 30, Range 665 | Aged 65 Years, n = 67, Median Observations 27, Range 665 | |
---|---|---|---|
| |||
Location | |||
Bedroom | 85.1 (13.3) | 84.6 (13.4) | 85.5 (12.9) |
Bathroom | 3.0 (4.0) | 2.6 (3.9) | 3.4 (4.1) |
Hall | 2.9 (4.6) | 3.4 (5.4) | 2.7 (4.0) |
Lounge | 0.3 (1.9) | 0 | 0.6 (2.7) |
Off ward/other | 8.6 (11.6) | 9.3 (11.4) | 7.8 (11.1) |
Physical activity | |||
Lie in bed | 57.4 (30.0) | 59.4 (29.4) | 55.5 (31.6) |
Sit on bed | 21.0 (23.2) | 16.9 (19.9) | 24.7 (25.7) |
Sit on chair | 12.6 (22.9) | 14.0 (25.6) | 11.9 (20.9) |
Stand/walk/wheel | 9.0 (9.3) | 9.6 (9.6) | 8.0 (8.5) |
Medical, n = 48, Median Observations 30, Range 759 | Oncology, n = 50, Median Observations 25, Range 652 | Surgical, n = 34, Median Observations 31, Range 1765 | |
---|---|---|---|
Location | |||
Bedroom | 89.1 (11.4) | 81.3 (13.6) | 85.3 (14.1) |
Bathroom | 2.8 (4.1) | 3.1 (3.8) | 3.1 (4.2) |
Hall | 1.5 (2.5) | 5.3 (6.1) | 1.5 (2.7) |
Lounge | 0.5 (2.0) | 0.4 (2.5) | 0 |
Off ward/other | 6.2 (10.2) | 10.0 (11.9) | 10.1 (12.6) |
Physical activity | |||
Lie in bed | 53.3 (31.4) | 56.1 (30.2) | 65.1 (27.0) |
Sit on bed | 30.3 (29.5) | 13.4 (16.1) | 19.0 (17.0) |
Sit on chair | 8.2 (14.7) | 19.1 (29.1) | 9.3 (20.4) |
Stand/walk/wheel | 8.2 (8.4) | 11.4 (9.7) | 6.5 (9.4) |
DISCUSSION
This observational cross‐sectional study extends previous observations of hospital inpatients to include a wider variety of patient types and ages. Observing 132 patients on medical, surgical, and oncology wards for up to 16 hours of weekday time, we found that patients spent only 9% in active upright postures, with significantly lower mobility on the surgical ward but no significant differences between older and younger patients.
Previous studies in older general medical patients using behavioral mapping[13] or accelerometers[2, 3] have shown 71% to 83% of time spent in bed, and 4% spent standing or walking, similar to our findings, although methodological differences between studies (eg, patient selection and time windows) caution against direct comparison. We identified different levels of physical activity on the surgical, medical, and oncology wards. This may reflect differences in patient case‐mix, ward environment, and/or ward culture. The medical and oncology wards each have a patient lounge, providing a potential walking destination, although only a small amount of patients' time was observed in these areas, suggesting that they may not fulfil their purpose. The oncology ward has a well developed wellness focus. The oncology and medical wards were actively involved in a quality‐improvement intervention to improve early patient mobility at the time of the audit,[15] whereas the surgical ward was at the precommencement (information gathering) stage. The data collected within this audit have formed part of the feedback cycle for staff involved in the improvement intervention. Repeat measurement will be undertaken on the surgical ward to help evaluate the impact of the intervention, and serial measurement will be undertaken in future participating wards to investigate the responsiveness of this measurement method.
Although the literature has focused on poor mobility in hospitalized elders, we did not find any better mobility in younger patients, suggesting that barriers to mobility are not confined to the elderly. Whereas individualized mobility assessment and support may be more important in the elderly,[16] addressing cultural and environmental issues such as promoting accountability for early ambulation, providing patients and families with permission and encouragement to ambulate, and ensuring accessible walking destinations may benefit patients of all ages.
Behavioral mapping has strengths and weaknesses compared to other methods such as accelerometry or patient/nurse report. Observations are conducted by an independent observer not involved in care and include all ward inpatients, providing a generalizable sample, as the observation protocol does not pose a participation burden for patient or ward staff. However, the cross‐sectional nature may oversample longer‐stay patients, the intermittent observation protocol tends to overestimate time spent upright,[14] the labor‐intensive nature of observations means choosing a limited time window (in our case 10001800), and the minimum time and observation frequency to generate reliable data remain uncertain. Further studies examining reliability, validity, and responsiveness would support the utility of this method for quality improvement.
In summary, this study shows that mobility is limited in older and younger adult inpatients across a range of inpatient wards, and that physical activity practices vary among wards. Interventions to enhance hospital mobility should include patients of all ages, and need to be tailored to local mobility practices, barriers, and enablers.
Acknowledgements
The authors thank the staff of wards 6AS, 9BN, and 7BW for participating in this project.
Disclosure: Nothing to report.
- Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):1263–1270. , , .
- The underrecognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57:1660–1665. , , , .
- Twenty‐four‐hour mobility during acute hospitalization in older medical patients. J Gerontol A Biol Sci Med Sci. 2013;68(3):331–337. , , , et al.
- Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266–273. , , , , , .
- Exercising body and mind: an integrated approach to functional independence. J Am Geriatr Soc. 2008;56:630–635. , , .
- Early mobilization of patients hospitalized with community‐acquired pneumonia. Chest. 2003;124(124):883–889. , , , , .
- Nursing staff perceptions of physical function in hospitalized older adults. App Nurs Res. 2011;24:215–222. , , .
- Barriers to mobility during hospitalization from the perspectives of older patients and their nurses and physicians. J Hosp Med. 2007;2:305–313. , , , , .
- How nurses decide to ambulate hospitalized older adults: development of a conceptual model. Gerontologist. 2011;51(6):786–797. , .
- Barriers to early mobility of hospitalized general medicine patients. Survey development and validation. Am J Phys Med Rehabil. 2015;94:304–312. , , , .
- Attitudes and expectations regarding exercise in the hospital of hospitalized older adults: a qualitative study. J Am Geriatr Soc. 2012;60:713–718. , .
- Inactive and alone. Physical activity within the first 14 days of acute stroke unit care. Stroke. 2004;35:1005–1009. , , , .
- Activity level of hospital medical inpatients: an observational study. Arch Gerontol Geriatr. 2012;55:417–421. , , .
- Measuring activity levels at an acute stroke ward: comparing observations to a device. Biomed Res Int. 2013;2013:460482. , , , .
- Eat walk engage: an interdisciplinary collaborative model to improve care of hospitalized elders. Am J Med Qual. 2015;30(1):5–13. , , .
- Hospitalization‐associated disability. “She was probably able to ambulate, but I'm not sure”. JAMA. 2011;306(16):1782–1793. , , .
Low mobility is common in hospitalized older patients, and an independent predictor of poor functional outcomes.[1, 2, 3, 4] Few studies have included younger patients, but care models that support early mobility may reduce functional decline, enhance recovery, and reduce length of stay in older and mixed‐age populations.[5, 6] Barriers to mobility are complex and include patient symptoms and tethers, health provider behavior, team communication, and leadership, device availability, and environmental factors.[7, 8, 9, 10, 11] These contextual factors may differ even within a hospital between patient groups and ward settings. Simple measures to quantify mobility patterns would help address these barriers by providing opportunities for audit and feedback. Although accelerometry is the gold standard method for research, it requires equipment, analysis skills, and patient consent, which limits application in clinical practice. Behavioral mapping is a systematic method of observation developed in stroke patients, which is simple, objective, and requires no direct patient or staff participation,[12] and physical activity levels estimated from behavioral mapping are similar to those identified by accelerometry.[3, 13, 14] In the context of a phased quality‐improvement project aiming to reduce functional decline,[15] we undertook a cross‐sectional audit of mobility on 3 different wards using behavioral mapping, and examined differences among wards and between older (aged 65 years or more) and younger patients.
METHODS
This prospective observational study used cross‐sectional sampling from a 26‐bed general medical ward, a 30‐bed oncology ward, and a 24‐bed vascular surgical ward in a 900‐bed tertiary teaching hospital in Brisbane, Australia. Sampling was undertaken during 4 observation periods (2 mornings [10001400] and 2 afternoons [1400‐1800]) within 10 days in May 2013. All patients on each ward for each period were observed unless they were receiving end‐of‐life care. Structured observations were undertaken using behavioral mapping protocols similar to those previously described in stroke and general medical patients,[12, 13] with each patient room visited in the same sequence. Participants in each room were observed for a 2‐minute period (up to 4 participants could be observed concurrently in shared rooms) before moving to the next room, and the sequence was repeated in the same order for the whole 4‐hour period, with a single 15‐minute break. Depending on ward size and layout, this provided 12 to 17 observations per participant for each 4‐hour period (each individual observed every 1218 minutes). Observations were undertaken by 4 trained physiotherapy student observers using a predetermined set of mutually exclusive levels (lying in bed, sitting in or on the bed, sitting on a chair, standing, actively wheeling, or walking). The study was approved by the Royal Brisbane and Women's Hospital Human Research Ethics Committee as part of a quality‐improvement activity, and individual consent was not required. No clinical data except age and gender were collected for participants. The nurse unit manager for each ward was introduced to the observers and aware that observations were being conducted.
Patients who were observed for less than one‐half of an observation period were excluded so that all participants contributed at least 2 hours of observational data, up to a maximum of 16 hours. The number of valid observations for each participant (excluding time off ward or behind curtains if the level was not apparent) was calculated and used to derive the proportion of valid observations spent at each level for each participant. The proportion of observations at each level was summarized across all participants using frequency distributions and summary statistics. For ease of presentation, mean percentage of observed time in each activity was presented. However, as data were not normally distributed, statistical comparisons were undertaken using the Kruskal‐Wallis test, comparing the distribution of time spent upright (standing, walking, or actively wheeling) between groups (age group and ward). Interaction between age and ward effects was sought using generalized linear modeling.
RESULTS
Valid observations (at least 2 hours in 1 or more observation period) were available for 132 patients (48 medical, 50 oncology, and 34 surgery). Of these, 67 (51 %) were aged 65 years (54% medical, 44% oncology, 56% surgery) and 62 (47%) were male. There were a total of 3891 observations of location (median, 30 per patient; range, 965). Participants were observed in the bedded area 85.1% of observations, with 3.1% in the bathroom, 3.2% in the hallway or patient lounge, and 8.6% off ward. Allowing for time off ward and behind curtains, when observers could not be sure of their activity level, 3272 valid observations were available for physical activity.
More than half of the observed time (mean 57.4%) was spent lying in bed, 33.6% sitting on the bed or chair, and 9.0% standing, walking, or wheeling. Across all observation periods, 39/132 (29.5%) participants were never observed to be standing, walking or wheeling, and 7.6% were in bed at all observations. Comparing older and younger patients (Table 1), there was no difference in the time spent in active upright postures (median, 6.1% in older vs 7.4% in younger; P = 0.30). Table 2 summarizes descriptive data for the different wards. In the medical and surgical wards, 84% of the time was spend in or on the bed, and only 16% of the time was spent sitting in a chair or in active upright postures. Surgical patients, in particular, spent two‐thirds of observation time lying flat in bed, whereas medical patients spent more time sitting up on the bed. On statistical testing, time spent standing/walking/wheeling was significantly lower on the surgical ward (median, 4%; interquartile range [IQR], 010 for surgery; median, 7%; IQR, 013 for medical; and median, 10%; IQR 317 for oncology; P = 0.015). This was also reflected in a higher proportion of surgical patients never seen in an active upright position (44.1% compared to 27.1% medical and 22.0% oncology). Multivariate modeling showed no significant interaction between age and ward.
All Ages, n = 132, Median Observations 29.5, Range 665* | Aged <65 Years, n = 61, Median Observations 30, Range 665 | Aged 65 Years, n = 67, Median Observations 27, Range 665 | |
---|---|---|---|
| |||
Location | |||
Bedroom | 85.1 (13.3) | 84.6 (13.4) | 85.5 (12.9) |
Bathroom | 3.0 (4.0) | 2.6 (3.9) | 3.4 (4.1) |
Hall | 2.9 (4.6) | 3.4 (5.4) | 2.7 (4.0) |
Lounge | 0.3 (1.9) | 0 | 0.6 (2.7) |
Off ward/other | 8.6 (11.6) | 9.3 (11.4) | 7.8 (11.1) |
Physical activity | |||
Lie in bed | 57.4 (30.0) | 59.4 (29.4) | 55.5 (31.6) |
Sit on bed | 21.0 (23.2) | 16.9 (19.9) | 24.7 (25.7) |
Sit on chair | 12.6 (22.9) | 14.0 (25.6) | 11.9 (20.9) |
Stand/walk/wheel | 9.0 (9.3) | 9.6 (9.6) | 8.0 (8.5) |
Medical, n = 48, Median Observations 30, Range 759 | Oncology, n = 50, Median Observations 25, Range 652 | Surgical, n = 34, Median Observations 31, Range 1765 | |
---|---|---|---|
Location | |||
Bedroom | 89.1 (11.4) | 81.3 (13.6) | 85.3 (14.1) |
Bathroom | 2.8 (4.1) | 3.1 (3.8) | 3.1 (4.2) |
Hall | 1.5 (2.5) | 5.3 (6.1) | 1.5 (2.7) |
Lounge | 0.5 (2.0) | 0.4 (2.5) | 0 |
Off ward/other | 6.2 (10.2) | 10.0 (11.9) | 10.1 (12.6) |
Physical activity | |||
Lie in bed | 53.3 (31.4) | 56.1 (30.2) | 65.1 (27.0) |
Sit on bed | 30.3 (29.5) | 13.4 (16.1) | 19.0 (17.0) |
Sit on chair | 8.2 (14.7) | 19.1 (29.1) | 9.3 (20.4) |
Stand/walk/wheel | 8.2 (8.4) | 11.4 (9.7) | 6.5 (9.4) |
DISCUSSION
This observational cross‐sectional study extends previous observations of hospital inpatients to include a wider variety of patient types and ages. Observing 132 patients on medical, surgical, and oncology wards for up to 16 hours of weekday time, we found that patients spent only 9% in active upright postures, with significantly lower mobility on the surgical ward but no significant differences between older and younger patients.
Previous studies in older general medical patients using behavioral mapping[13] or accelerometers[2, 3] have shown 71% to 83% of time spent in bed, and 4% spent standing or walking, similar to our findings, although methodological differences between studies (eg, patient selection and time windows) caution against direct comparison. We identified different levels of physical activity on the surgical, medical, and oncology wards. This may reflect differences in patient case‐mix, ward environment, and/or ward culture. The medical and oncology wards each have a patient lounge, providing a potential walking destination, although only a small amount of patients' time was observed in these areas, suggesting that they may not fulfil their purpose. The oncology ward has a well developed wellness focus. The oncology and medical wards were actively involved in a quality‐improvement intervention to improve early patient mobility at the time of the audit,[15] whereas the surgical ward was at the precommencement (information gathering) stage. The data collected within this audit have formed part of the feedback cycle for staff involved in the improvement intervention. Repeat measurement will be undertaken on the surgical ward to help evaluate the impact of the intervention, and serial measurement will be undertaken in future participating wards to investigate the responsiveness of this measurement method.
Although the literature has focused on poor mobility in hospitalized elders, we did not find any better mobility in younger patients, suggesting that barriers to mobility are not confined to the elderly. Whereas individualized mobility assessment and support may be more important in the elderly,[16] addressing cultural and environmental issues such as promoting accountability for early ambulation, providing patients and families with permission and encouragement to ambulate, and ensuring accessible walking destinations may benefit patients of all ages.
Behavioral mapping has strengths and weaknesses compared to other methods such as accelerometry or patient/nurse report. Observations are conducted by an independent observer not involved in care and include all ward inpatients, providing a generalizable sample, as the observation protocol does not pose a participation burden for patient or ward staff. However, the cross‐sectional nature may oversample longer‐stay patients, the intermittent observation protocol tends to overestimate time spent upright,[14] the labor‐intensive nature of observations means choosing a limited time window (in our case 10001800), and the minimum time and observation frequency to generate reliable data remain uncertain. Further studies examining reliability, validity, and responsiveness would support the utility of this method for quality improvement.
In summary, this study shows that mobility is limited in older and younger adult inpatients across a range of inpatient wards, and that physical activity practices vary among wards. Interventions to enhance hospital mobility should include patients of all ages, and need to be tailored to local mobility practices, barriers, and enablers.
Acknowledgements
The authors thank the staff of wards 6AS, 9BN, and 7BW for participating in this project.
Disclosure: Nothing to report.
Low mobility is common in hospitalized older patients, and an independent predictor of poor functional outcomes.[1, 2, 3, 4] Few studies have included younger patients, but care models that support early mobility may reduce functional decline, enhance recovery, and reduce length of stay in older and mixed‐age populations.[5, 6] Barriers to mobility are complex and include patient symptoms and tethers, health provider behavior, team communication, and leadership, device availability, and environmental factors.[7, 8, 9, 10, 11] These contextual factors may differ even within a hospital between patient groups and ward settings. Simple measures to quantify mobility patterns would help address these barriers by providing opportunities for audit and feedback. Although accelerometry is the gold standard method for research, it requires equipment, analysis skills, and patient consent, which limits application in clinical practice. Behavioral mapping is a systematic method of observation developed in stroke patients, which is simple, objective, and requires no direct patient or staff participation,[12] and physical activity levels estimated from behavioral mapping are similar to those identified by accelerometry.[3, 13, 14] In the context of a phased quality‐improvement project aiming to reduce functional decline,[15] we undertook a cross‐sectional audit of mobility on 3 different wards using behavioral mapping, and examined differences among wards and between older (aged 65 years or more) and younger patients.
METHODS
This prospective observational study used cross‐sectional sampling from a 26‐bed general medical ward, a 30‐bed oncology ward, and a 24‐bed vascular surgical ward in a 900‐bed tertiary teaching hospital in Brisbane, Australia. Sampling was undertaken during 4 observation periods (2 mornings [10001400] and 2 afternoons [1400‐1800]) within 10 days in May 2013. All patients on each ward for each period were observed unless they were receiving end‐of‐life care. Structured observations were undertaken using behavioral mapping protocols similar to those previously described in stroke and general medical patients,[12, 13] with each patient room visited in the same sequence. Participants in each room were observed for a 2‐minute period (up to 4 participants could be observed concurrently in shared rooms) before moving to the next room, and the sequence was repeated in the same order for the whole 4‐hour period, with a single 15‐minute break. Depending on ward size and layout, this provided 12 to 17 observations per participant for each 4‐hour period (each individual observed every 1218 minutes). Observations were undertaken by 4 trained physiotherapy student observers using a predetermined set of mutually exclusive levels (lying in bed, sitting in or on the bed, sitting on a chair, standing, actively wheeling, or walking). The study was approved by the Royal Brisbane and Women's Hospital Human Research Ethics Committee as part of a quality‐improvement activity, and individual consent was not required. No clinical data except age and gender were collected for participants. The nurse unit manager for each ward was introduced to the observers and aware that observations were being conducted.
Patients who were observed for less than one‐half of an observation period were excluded so that all participants contributed at least 2 hours of observational data, up to a maximum of 16 hours. The number of valid observations for each participant (excluding time off ward or behind curtains if the level was not apparent) was calculated and used to derive the proportion of valid observations spent at each level for each participant. The proportion of observations at each level was summarized across all participants using frequency distributions and summary statistics. For ease of presentation, mean percentage of observed time in each activity was presented. However, as data were not normally distributed, statistical comparisons were undertaken using the Kruskal‐Wallis test, comparing the distribution of time spent upright (standing, walking, or actively wheeling) between groups (age group and ward). Interaction between age and ward effects was sought using generalized linear modeling.
RESULTS
Valid observations (at least 2 hours in 1 or more observation period) were available for 132 patients (48 medical, 50 oncology, and 34 surgery). Of these, 67 (51 %) were aged 65 years (54% medical, 44% oncology, 56% surgery) and 62 (47%) were male. There were a total of 3891 observations of location (median, 30 per patient; range, 965). Participants were observed in the bedded area 85.1% of observations, with 3.1% in the bathroom, 3.2% in the hallway or patient lounge, and 8.6% off ward. Allowing for time off ward and behind curtains, when observers could not be sure of their activity level, 3272 valid observations were available for physical activity.
More than half of the observed time (mean 57.4%) was spent lying in bed, 33.6% sitting on the bed or chair, and 9.0% standing, walking, or wheeling. Across all observation periods, 39/132 (29.5%) participants were never observed to be standing, walking or wheeling, and 7.6% were in bed at all observations. Comparing older and younger patients (Table 1), there was no difference in the time spent in active upright postures (median, 6.1% in older vs 7.4% in younger; P = 0.30). Table 2 summarizes descriptive data for the different wards. In the medical and surgical wards, 84% of the time was spend in or on the bed, and only 16% of the time was spent sitting in a chair or in active upright postures. Surgical patients, in particular, spent two‐thirds of observation time lying flat in bed, whereas medical patients spent more time sitting up on the bed. On statistical testing, time spent standing/walking/wheeling was significantly lower on the surgical ward (median, 4%; interquartile range [IQR], 010 for surgery; median, 7%; IQR, 013 for medical; and median, 10%; IQR 317 for oncology; P = 0.015). This was also reflected in a higher proportion of surgical patients never seen in an active upright position (44.1% compared to 27.1% medical and 22.0% oncology). Multivariate modeling showed no significant interaction between age and ward.
All Ages, n = 132, Median Observations 29.5, Range 665* | Aged <65 Years, n = 61, Median Observations 30, Range 665 | Aged 65 Years, n = 67, Median Observations 27, Range 665 | |
---|---|---|---|
| |||
Location | |||
Bedroom | 85.1 (13.3) | 84.6 (13.4) | 85.5 (12.9) |
Bathroom | 3.0 (4.0) | 2.6 (3.9) | 3.4 (4.1) |
Hall | 2.9 (4.6) | 3.4 (5.4) | 2.7 (4.0) |
Lounge | 0.3 (1.9) | 0 | 0.6 (2.7) |
Off ward/other | 8.6 (11.6) | 9.3 (11.4) | 7.8 (11.1) |
Physical activity | |||
Lie in bed | 57.4 (30.0) | 59.4 (29.4) | 55.5 (31.6) |
Sit on bed | 21.0 (23.2) | 16.9 (19.9) | 24.7 (25.7) |
Sit on chair | 12.6 (22.9) | 14.0 (25.6) | 11.9 (20.9) |
Stand/walk/wheel | 9.0 (9.3) | 9.6 (9.6) | 8.0 (8.5) |
Medical, n = 48, Median Observations 30, Range 759 | Oncology, n = 50, Median Observations 25, Range 652 | Surgical, n = 34, Median Observations 31, Range 1765 | |
---|---|---|---|
Location | |||
Bedroom | 89.1 (11.4) | 81.3 (13.6) | 85.3 (14.1) |
Bathroom | 2.8 (4.1) | 3.1 (3.8) | 3.1 (4.2) |
Hall | 1.5 (2.5) | 5.3 (6.1) | 1.5 (2.7) |
Lounge | 0.5 (2.0) | 0.4 (2.5) | 0 |
Off ward/other | 6.2 (10.2) | 10.0 (11.9) | 10.1 (12.6) |
Physical activity | |||
Lie in bed | 53.3 (31.4) | 56.1 (30.2) | 65.1 (27.0) |
Sit on bed | 30.3 (29.5) | 13.4 (16.1) | 19.0 (17.0) |
Sit on chair | 8.2 (14.7) | 19.1 (29.1) | 9.3 (20.4) |
Stand/walk/wheel | 8.2 (8.4) | 11.4 (9.7) | 6.5 (9.4) |
DISCUSSION
This observational cross‐sectional study extends previous observations of hospital inpatients to include a wider variety of patient types and ages. Observing 132 patients on medical, surgical, and oncology wards for up to 16 hours of weekday time, we found that patients spent only 9% in active upright postures, with significantly lower mobility on the surgical ward but no significant differences between older and younger patients.
Previous studies in older general medical patients using behavioral mapping[13] or accelerometers[2, 3] have shown 71% to 83% of time spent in bed, and 4% spent standing or walking, similar to our findings, although methodological differences between studies (eg, patient selection and time windows) caution against direct comparison. We identified different levels of physical activity on the surgical, medical, and oncology wards. This may reflect differences in patient case‐mix, ward environment, and/or ward culture. The medical and oncology wards each have a patient lounge, providing a potential walking destination, although only a small amount of patients' time was observed in these areas, suggesting that they may not fulfil their purpose. The oncology ward has a well developed wellness focus. The oncology and medical wards were actively involved in a quality‐improvement intervention to improve early patient mobility at the time of the audit,[15] whereas the surgical ward was at the precommencement (information gathering) stage. The data collected within this audit have formed part of the feedback cycle for staff involved in the improvement intervention. Repeat measurement will be undertaken on the surgical ward to help evaluate the impact of the intervention, and serial measurement will be undertaken in future participating wards to investigate the responsiveness of this measurement method.
Although the literature has focused on poor mobility in hospitalized elders, we did not find any better mobility in younger patients, suggesting that barriers to mobility are not confined to the elderly. Whereas individualized mobility assessment and support may be more important in the elderly,[16] addressing cultural and environmental issues such as promoting accountability for early ambulation, providing patients and families with permission and encouragement to ambulate, and ensuring accessible walking destinations may benefit patients of all ages.
Behavioral mapping has strengths and weaknesses compared to other methods such as accelerometry or patient/nurse report. Observations are conducted by an independent observer not involved in care and include all ward inpatients, providing a generalizable sample, as the observation protocol does not pose a participation burden for patient or ward staff. However, the cross‐sectional nature may oversample longer‐stay patients, the intermittent observation protocol tends to overestimate time spent upright,[14] the labor‐intensive nature of observations means choosing a limited time window (in our case 10001800), and the minimum time and observation frequency to generate reliable data remain uncertain. Further studies examining reliability, validity, and responsiveness would support the utility of this method for quality improvement.
In summary, this study shows that mobility is limited in older and younger adult inpatients across a range of inpatient wards, and that physical activity practices vary among wards. Interventions to enhance hospital mobility should include patients of all ages, and need to be tailored to local mobility practices, barriers, and enablers.
Acknowledgements
The authors thank the staff of wards 6AS, 9BN, and 7BW for participating in this project.
Disclosure: Nothing to report.
- Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):1263–1270. , , .
- The underrecognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57:1660–1665. , , , .
- Twenty‐four‐hour mobility during acute hospitalization in older medical patients. J Gerontol A Biol Sci Med Sci. 2013;68(3):331–337. , , , et al.
- Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266–273. , , , , , .
- Exercising body and mind: an integrated approach to functional independence. J Am Geriatr Soc. 2008;56:630–635. , , .
- Early mobilization of patients hospitalized with community‐acquired pneumonia. Chest. 2003;124(124):883–889. , , , , .
- Nursing staff perceptions of physical function in hospitalized older adults. App Nurs Res. 2011;24:215–222. , , .
- Barriers to mobility during hospitalization from the perspectives of older patients and their nurses and physicians. J Hosp Med. 2007;2:305–313. , , , , .
- How nurses decide to ambulate hospitalized older adults: development of a conceptual model. Gerontologist. 2011;51(6):786–797. , .
- Barriers to early mobility of hospitalized general medicine patients. Survey development and validation. Am J Phys Med Rehabil. 2015;94:304–312. , , , .
- Attitudes and expectations regarding exercise in the hospital of hospitalized older adults: a qualitative study. J Am Geriatr Soc. 2012;60:713–718. , .
- Inactive and alone. Physical activity within the first 14 days of acute stroke unit care. Stroke. 2004;35:1005–1009. , , , .
- Activity level of hospital medical inpatients: an observational study. Arch Gerontol Geriatr. 2012;55:417–421. , , .
- Measuring activity levels at an acute stroke ward: comparing observations to a device. Biomed Res Int. 2013;2013:460482. , , , .
- Eat walk engage: an interdisciplinary collaborative model to improve care of hospitalized elders. Am J Med Qual. 2015;30(1):5–13. , , .
- Hospitalization‐associated disability. “She was probably able to ambulate, but I'm not sure”. JAMA. 2011;306(16):1782–1793. , , .
- Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):1263–1270. , , .
- The underrecognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57:1660–1665. , , , .
- Twenty‐four‐hour mobility during acute hospitalization in older medical patients. J Gerontol A Biol Sci Med Sci. 2013;68(3):331–337. , , , et al.
- Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266–273. , , , , , .
- Exercising body and mind: an integrated approach to functional independence. J Am Geriatr Soc. 2008;56:630–635. , , .
- Early mobilization of patients hospitalized with community‐acquired pneumonia. Chest. 2003;124(124):883–889. , , , , .
- Nursing staff perceptions of physical function in hospitalized older adults. App Nurs Res. 2011;24:215–222. , , .
- Barriers to mobility during hospitalization from the perspectives of older patients and their nurses and physicians. J Hosp Med. 2007;2:305–313. , , , , .
- How nurses decide to ambulate hospitalized older adults: development of a conceptual model. Gerontologist. 2011;51(6):786–797. , .
- Barriers to early mobility of hospitalized general medicine patients. Survey development and validation. Am J Phys Med Rehabil. 2015;94:304–312. , , , .
- Attitudes and expectations regarding exercise in the hospital of hospitalized older adults: a qualitative study. J Am Geriatr Soc. 2012;60:713–718. , .
- Inactive and alone. Physical activity within the first 14 days of acute stroke unit care. Stroke. 2004;35:1005–1009. , , , .
- Activity level of hospital medical inpatients: an observational study. Arch Gerontol Geriatr. 2012;55:417–421. , , .
- Measuring activity levels at an acute stroke ward: comparing observations to a device. Biomed Res Int. 2013;2013:460482. , , , .
- Eat walk engage: an interdisciplinary collaborative model to improve care of hospitalized elders. Am J Med Qual. 2015;30(1):5–13. , , .
- Hospitalization‐associated disability. “She was probably able to ambulate, but I'm not sure”. JAMA. 2011;306(16):1782–1793. , , .