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Cumulative exposure to high-potency topical steroid doses drives osteoporosis fractures
In support of previously published case reports,
in a dose-response relationship.In a stepwise manner, the hazard ratios for major osteoporotic fracture (MOF) were found to start climbing incrementally for those with a cumulative topical steroid dose equivalent of more than 500 g of mometasone furoate when compared with exposure of 200-499 g, according to the team of investigators from the University of Copenhagen.
“Use of these drugs is very common, and we found an estimated population-attributable risk of as much as 4.3%,” the investigators reported in the study, published in JAMA Dermatology.
The retrospective cohort study drew data from the Danish National Patient Registry, which covers 99% of the country’s population. It was linked to the Danish National Prescription Registry, which captures data on pharmacy-dispensed medications. Data collected from the beginning of 2003 to the end of 2017 were evaluated.
Exposures to potent or very potent topical corticosteroids were converted into a single standard with potency equivalent to 1 mg/g of mometasone furoate. Four strata of exposure were compared to a reference exposure of 200-499 g. These were 500-999 g, 1,000-1,999 g, 2,000-9,999 g, and 10,000 g or greater.
For the first strata, the small increased risk for MOF did not reach significance (HR, 1.01; 95% confidence interval, 0.99-1.03), but each of the others did. These climbed from a 5% greater risk (HR 1.05 95% CI 1.02-1.08) for a cumulative exposure of 1,000 to 1,999 g, to a 10% greater risk (HR, 1.10; 95% CI, 1.07-1.13) for a cumulative exposure of 2,000-9,999 g, and finally to a 27% greater risk (HR, 1.27; 95% CI, 1.19-1.35) for a cumulative exposure of 10,000 g or higher.
The study included more than 700,000 individuals exposed to topical mometasone at a potency equivalent of 200 g or more over the study period. The reference group (200-499 g) was the largest (317,907 individuals). The first strata (500-999 g) included 186,359 patients; the second (1,000-1,999 g), 111,203 patients; the third (2,000-9,999 g), 94,334 patients; and the fifth (10,000 g or more), 13,448 patients.
“A 3% increase in the relative risk of osteoporosis and MOF was observed per doubling of the TCS dose,” according to the investigators.
Patients exposed to doses of high-potency topical steroids that put them at risk of MOF is limited but substantial, according to the senior author, Alexander Egeberg, MD, PhD, of the department of dermatology and allergy at Herlev and Gentofte Hospital, Copenhagen.
“It is true that the risk is modest for the average user of topical steroids,” Dr. Egeberg said in an interview. However, despite the fact that topical steroids are intended for short-term use, “2% of all our users had been exposed to the equivalent of 10,000 g of mometasone, which mean 100 tubes of 100 g.”
If the other two strata at significantly increased risk of MOF (greater than 1,000 g) are included, an additional 28% of all users are facing the potential for clinically significant osteoporosis, according to the Danish data.
The adverse effect of steroids on bone metabolism has been established previously, and several studies have linked systemic corticosteroid exposure, including inhaled corticosteroids, with increased risk of osteoporotic fracture. For example, one study showed that patients with chronic obstructive pulmonary disease on daily inhaled doses of the equivalent of fluticasone at or above 1,000 mcg for more than 4 years had about a 10% increased risk of MOF relative to those not exposed.
The data associate topical steroids with increased risk of osteoporotic fracture, but Dr. Egeberg said osteoporosis is not the only reason to use topical steroids prudently.
“It is important to keep in mind that osteoporosis and fractures are at the extreme end of the side-effect profile and that other side effects, such as striae formation, skin thinning, and dysregulated diabetes, can occur with much lower quantities of topical steroids,” Dr. Egeberg said
For avoiding this risk, “there are no specific cutoffs” recommended for topical steroids in current guidelines, but dermatologists should be aware that many of the indications for topical steroids, such as psoriasis and atopic dermatitis, involve skin with an impaired barrier function, exposing patients to an increased likelihood of absorption, according to Dr. Egeberg.
“A general rule of thumb that we use is that, if a patient with persistent disease activity requires a new prescription of the equivalent of 100 g mometasone every 1-2 months, it might be worth considering if there is a suitable alternative,” Dr. Egeberg said.
In an accompanying editorial, Rebecca D. Jackson, MD, of the division of endocrinology, diabetes, and metabolism in the department of internal medicine at Ohio State University, Columbus, agreed that no guidelines specific to avoiding the risks of topical corticosteroids are currently available, but she advised clinicians to be considering these risks nonetheless. In general, she suggested that topical steroids, like oral steroids, should be used at “the lowest dose for the shortest duration necessary to manage the underlying medical condition.”
The correlation between topical corticosteroids and increased risk of osteoporotic fracture, although not established previously in a large study, is not surprising, according to Victoria Werth, MD, chief of dermatology at the Philadelphia Veterans Affairs Hospital and professor of dermatology at the University of Pennsylvania, also in Philadelphia.
“Systemic absorption of potent topical steroids has previously been demonstrated with a rapid decrease in serum cortisol levels,” Dr. Werth said in an interview. She indicated that concern about the risk of osteoporosis imposed by use of potent steroids over large body surface areas is appropriate.
To minimize this risk, “it is reasonable to use the lowest dose of steroid possible and to try to substitute other medications when possible,” she said.
Dr. Egeberg reported financial relationships with Abbvie, Almirall, Bristol-Myers Squibb, Dermavant Sciences, Galderma, Janssen Pharmaceuticals, Eli Lilly, Novartis, Pfizer, Samsung, Bioepis, and UCB. Five authors had disclosures related to some of those pharmaceutical companies and/or others. Dr. Jackson had no disclosures.
In support of previously published case reports,
in a dose-response relationship.In a stepwise manner, the hazard ratios for major osteoporotic fracture (MOF) were found to start climbing incrementally for those with a cumulative topical steroid dose equivalent of more than 500 g of mometasone furoate when compared with exposure of 200-499 g, according to the team of investigators from the University of Copenhagen.
“Use of these drugs is very common, and we found an estimated population-attributable risk of as much as 4.3%,” the investigators reported in the study, published in JAMA Dermatology.
The retrospective cohort study drew data from the Danish National Patient Registry, which covers 99% of the country’s population. It was linked to the Danish National Prescription Registry, which captures data on pharmacy-dispensed medications. Data collected from the beginning of 2003 to the end of 2017 were evaluated.
Exposures to potent or very potent topical corticosteroids were converted into a single standard with potency equivalent to 1 mg/g of mometasone furoate. Four strata of exposure were compared to a reference exposure of 200-499 g. These were 500-999 g, 1,000-1,999 g, 2,000-9,999 g, and 10,000 g or greater.
For the first strata, the small increased risk for MOF did not reach significance (HR, 1.01; 95% confidence interval, 0.99-1.03), but each of the others did. These climbed from a 5% greater risk (HR 1.05 95% CI 1.02-1.08) for a cumulative exposure of 1,000 to 1,999 g, to a 10% greater risk (HR, 1.10; 95% CI, 1.07-1.13) for a cumulative exposure of 2,000-9,999 g, and finally to a 27% greater risk (HR, 1.27; 95% CI, 1.19-1.35) for a cumulative exposure of 10,000 g or higher.
The study included more than 700,000 individuals exposed to topical mometasone at a potency equivalent of 200 g or more over the study period. The reference group (200-499 g) was the largest (317,907 individuals). The first strata (500-999 g) included 186,359 patients; the second (1,000-1,999 g), 111,203 patients; the third (2,000-9,999 g), 94,334 patients; and the fifth (10,000 g or more), 13,448 patients.
“A 3% increase in the relative risk of osteoporosis and MOF was observed per doubling of the TCS dose,” according to the investigators.
Patients exposed to doses of high-potency topical steroids that put them at risk of MOF is limited but substantial, according to the senior author, Alexander Egeberg, MD, PhD, of the department of dermatology and allergy at Herlev and Gentofte Hospital, Copenhagen.
“It is true that the risk is modest for the average user of topical steroids,” Dr. Egeberg said in an interview. However, despite the fact that topical steroids are intended for short-term use, “2% of all our users had been exposed to the equivalent of 10,000 g of mometasone, which mean 100 tubes of 100 g.”
If the other two strata at significantly increased risk of MOF (greater than 1,000 g) are included, an additional 28% of all users are facing the potential for clinically significant osteoporosis, according to the Danish data.
The adverse effect of steroids on bone metabolism has been established previously, and several studies have linked systemic corticosteroid exposure, including inhaled corticosteroids, with increased risk of osteoporotic fracture. For example, one study showed that patients with chronic obstructive pulmonary disease on daily inhaled doses of the equivalent of fluticasone at or above 1,000 mcg for more than 4 years had about a 10% increased risk of MOF relative to those not exposed.
The data associate topical steroids with increased risk of osteoporotic fracture, but Dr. Egeberg said osteoporosis is not the only reason to use topical steroids prudently.
“It is important to keep in mind that osteoporosis and fractures are at the extreme end of the side-effect profile and that other side effects, such as striae formation, skin thinning, and dysregulated diabetes, can occur with much lower quantities of topical steroids,” Dr. Egeberg said
For avoiding this risk, “there are no specific cutoffs” recommended for topical steroids in current guidelines, but dermatologists should be aware that many of the indications for topical steroids, such as psoriasis and atopic dermatitis, involve skin with an impaired barrier function, exposing patients to an increased likelihood of absorption, according to Dr. Egeberg.
“A general rule of thumb that we use is that, if a patient with persistent disease activity requires a new prescription of the equivalent of 100 g mometasone every 1-2 months, it might be worth considering if there is a suitable alternative,” Dr. Egeberg said.
In an accompanying editorial, Rebecca D. Jackson, MD, of the division of endocrinology, diabetes, and metabolism in the department of internal medicine at Ohio State University, Columbus, agreed that no guidelines specific to avoiding the risks of topical corticosteroids are currently available, but she advised clinicians to be considering these risks nonetheless. In general, she suggested that topical steroids, like oral steroids, should be used at “the lowest dose for the shortest duration necessary to manage the underlying medical condition.”
The correlation between topical corticosteroids and increased risk of osteoporotic fracture, although not established previously in a large study, is not surprising, according to Victoria Werth, MD, chief of dermatology at the Philadelphia Veterans Affairs Hospital and professor of dermatology at the University of Pennsylvania, also in Philadelphia.
“Systemic absorption of potent topical steroids has previously been demonstrated with a rapid decrease in serum cortisol levels,” Dr. Werth said in an interview. She indicated that concern about the risk of osteoporosis imposed by use of potent steroids over large body surface areas is appropriate.
To minimize this risk, “it is reasonable to use the lowest dose of steroid possible and to try to substitute other medications when possible,” she said.
Dr. Egeberg reported financial relationships with Abbvie, Almirall, Bristol-Myers Squibb, Dermavant Sciences, Galderma, Janssen Pharmaceuticals, Eli Lilly, Novartis, Pfizer, Samsung, Bioepis, and UCB. Five authors had disclosures related to some of those pharmaceutical companies and/or others. Dr. Jackson had no disclosures.
In support of previously published case reports,
in a dose-response relationship.In a stepwise manner, the hazard ratios for major osteoporotic fracture (MOF) were found to start climbing incrementally for those with a cumulative topical steroid dose equivalent of more than 500 g of mometasone furoate when compared with exposure of 200-499 g, according to the team of investigators from the University of Copenhagen.
“Use of these drugs is very common, and we found an estimated population-attributable risk of as much as 4.3%,” the investigators reported in the study, published in JAMA Dermatology.
The retrospective cohort study drew data from the Danish National Patient Registry, which covers 99% of the country’s population. It was linked to the Danish National Prescription Registry, which captures data on pharmacy-dispensed medications. Data collected from the beginning of 2003 to the end of 2017 were evaluated.
Exposures to potent or very potent topical corticosteroids were converted into a single standard with potency equivalent to 1 mg/g of mometasone furoate. Four strata of exposure were compared to a reference exposure of 200-499 g. These were 500-999 g, 1,000-1,999 g, 2,000-9,999 g, and 10,000 g or greater.
For the first strata, the small increased risk for MOF did not reach significance (HR, 1.01; 95% confidence interval, 0.99-1.03), but each of the others did. These climbed from a 5% greater risk (HR 1.05 95% CI 1.02-1.08) for a cumulative exposure of 1,000 to 1,999 g, to a 10% greater risk (HR, 1.10; 95% CI, 1.07-1.13) for a cumulative exposure of 2,000-9,999 g, and finally to a 27% greater risk (HR, 1.27; 95% CI, 1.19-1.35) for a cumulative exposure of 10,000 g or higher.
The study included more than 700,000 individuals exposed to topical mometasone at a potency equivalent of 200 g or more over the study period. The reference group (200-499 g) was the largest (317,907 individuals). The first strata (500-999 g) included 186,359 patients; the second (1,000-1,999 g), 111,203 patients; the third (2,000-9,999 g), 94,334 patients; and the fifth (10,000 g or more), 13,448 patients.
“A 3% increase in the relative risk of osteoporosis and MOF was observed per doubling of the TCS dose,” according to the investigators.
Patients exposed to doses of high-potency topical steroids that put them at risk of MOF is limited but substantial, according to the senior author, Alexander Egeberg, MD, PhD, of the department of dermatology and allergy at Herlev and Gentofte Hospital, Copenhagen.
“It is true that the risk is modest for the average user of topical steroids,” Dr. Egeberg said in an interview. However, despite the fact that topical steroids are intended for short-term use, “2% of all our users had been exposed to the equivalent of 10,000 g of mometasone, which mean 100 tubes of 100 g.”
If the other two strata at significantly increased risk of MOF (greater than 1,000 g) are included, an additional 28% of all users are facing the potential for clinically significant osteoporosis, according to the Danish data.
The adverse effect of steroids on bone metabolism has been established previously, and several studies have linked systemic corticosteroid exposure, including inhaled corticosteroids, with increased risk of osteoporotic fracture. For example, one study showed that patients with chronic obstructive pulmonary disease on daily inhaled doses of the equivalent of fluticasone at or above 1,000 mcg for more than 4 years had about a 10% increased risk of MOF relative to those not exposed.
The data associate topical steroids with increased risk of osteoporotic fracture, but Dr. Egeberg said osteoporosis is not the only reason to use topical steroids prudently.
“It is important to keep in mind that osteoporosis and fractures are at the extreme end of the side-effect profile and that other side effects, such as striae formation, skin thinning, and dysregulated diabetes, can occur with much lower quantities of topical steroids,” Dr. Egeberg said
For avoiding this risk, “there are no specific cutoffs” recommended for topical steroids in current guidelines, but dermatologists should be aware that many of the indications for topical steroids, such as psoriasis and atopic dermatitis, involve skin with an impaired barrier function, exposing patients to an increased likelihood of absorption, according to Dr. Egeberg.
“A general rule of thumb that we use is that, if a patient with persistent disease activity requires a new prescription of the equivalent of 100 g mometasone every 1-2 months, it might be worth considering if there is a suitable alternative,” Dr. Egeberg said.
In an accompanying editorial, Rebecca D. Jackson, MD, of the division of endocrinology, diabetes, and metabolism in the department of internal medicine at Ohio State University, Columbus, agreed that no guidelines specific to avoiding the risks of topical corticosteroids are currently available, but she advised clinicians to be considering these risks nonetheless. In general, she suggested that topical steroids, like oral steroids, should be used at “the lowest dose for the shortest duration necessary to manage the underlying medical condition.”
The correlation between topical corticosteroids and increased risk of osteoporotic fracture, although not established previously in a large study, is not surprising, according to Victoria Werth, MD, chief of dermatology at the Philadelphia Veterans Affairs Hospital and professor of dermatology at the University of Pennsylvania, also in Philadelphia.
“Systemic absorption of potent topical steroids has previously been demonstrated with a rapid decrease in serum cortisol levels,” Dr. Werth said in an interview. She indicated that concern about the risk of osteoporosis imposed by use of potent steroids over large body surface areas is appropriate.
To minimize this risk, “it is reasonable to use the lowest dose of steroid possible and to try to substitute other medications when possible,” she said.
Dr. Egeberg reported financial relationships with Abbvie, Almirall, Bristol-Myers Squibb, Dermavant Sciences, Galderma, Janssen Pharmaceuticals, Eli Lilly, Novartis, Pfizer, Samsung, Bioepis, and UCB. Five authors had disclosures related to some of those pharmaceutical companies and/or others. Dr. Jackson had no disclosures.
FROM JAMA DERMATOLOGY
Afternoon napping associated with better cognition in elderly, study shows
according to a new study in General Psychiatry.
The findings add to those seen in other observational studies showing afternoon napping promotes cognitive function, said the authors of the paper, published in General Psychiatry.
“The prevalence of afternoon napping has been increasing in older adults much more than in younger individuals,” wrote Han Cai, MS, of the department of geriatrics at The Fourth People’s Hospital of Wuhu, Anhui, China, and coauthors. “The elderly individuals who took afternoon naps showed significantly higher cognitive performance compared with those who did not nap.”
The researchers enrolled 2,214 people in the study – all Han Chinese and aged 60 or older. Afternoon napping was considered any period of inactivity of at least 5 minutes but less than 2 hours after lunch and outside of the person’s main sleep schedule. Those who reported ever napping – 1,534 subjects – were included in the napping group, and the others – 680 – in the nonnapping group. Patients with major physical conditions were excluded.
The Montreal Cognitive Assessment (MoCA), the Mini-Mental State Examination (MMSE), and the Neuropsychological Test Battery (NTB) were used to measure cognitive function, and 739 patients agreed to blood tests for lipid values.
The average total MMSE score was higher for the napping group at 25.3 points out of 30, than for the nonnapping group, at 24.56 (P = .003). Those in the napping group also had significantly higher scores in the orientation portion of the MoCA test, at 5.55 out of 6 points, compared with 5.41 for the nonnapping group (P = .006).
Those in the napping group scored significantly higher on the digit span and language fluency parts of the Neuropsychological Test Battery (P = .009 and .020, respectively).
Dementia was assessed with face-to-face visits with clinicians, but diagnoses of dementia were not different between the groups.
Triglycerides were found to be higher – though still in the normal range – in the napping group compared with the nonnapping group, 1.80 mmol/L to 1.75 mmol/L, the researchers found (P = .001). No differences were seen for HDL or LDL cholesterol levels, or in hypertension or diabetes, the researchers reported.
The authors noted that inflammation is likely an important feature in the relationship between napping and cognitive function. Inflammatory cytokines have been found to play a role in sleep disorders, and strong inflammatory responses can lead to adverse events, including cognitive impairment.
“Sleep is known to be a regulator of the immune response that counters these inflammatory mediators, whereas napping, in particular, is thought to be an evolved response to inflammation,” they said.
The average age of patients in the napping group was 72.8 years, slightly older than those in the nonnapping group at 71.3 years, and this was a significant difference (P = .016).
The researchers acknowledged that the study “could not show direct causality of napping, whether beneficial or harmful,” and that “a lack of detailed information regarding napping duration ... also limited the description of napping status.”
Junxin Li, PhD, RN, assistant professor at Johns Hopkins School of Nursing, Baltimore, who has studied napping and cognition, said that previous research generally supports a U-shaped relationship between napping and mental acuity, with shorter or medium-length naps benefiting cognition and no naps or naps that are too long being detrimental.
“This study looked at no nap versus naps of less than 2 hours and may not be able to capture this potential U-shaped association,” she said.
For clinicians, the duration, timing, frequency, and purpose of naps are important factors in making recommendations to patients, she said.
“For example, timing – napping in the early evening close to older adult’s bedtime may delay their bedtime and interfere with their nighttime sleep quality. Taking naps after lunchtime is hypothesized to provide the most therapeutic values to the health and usually recommended,” she said. Regular napping is better than “randomly dozing off,” Dr. Li added.
There are also cultural considerations – in east Asia, napping tends to be considered part of a healthy lifestyle, while in western countries it is not – and this could impact napping behaviors and how these behaviors affect cognition, she said.
Phyllis C. Zee, MD, PhD, director of the Center for Circadian and Sleep Medicine at the Northwestern University, Chicago, said the results are consistent with early cross-sectional studies that showed that regular, scheduled naps in the afternoon were associated with positive cognitive performance and lower cardiometabolic disease risk.
Dr. Zee noted that it’s important to recognize that the positive data are associated with naps that are planned, while older adults napping because of excess sleepiness are at a higher risk for cognitive impairment and other health issues.
The study authors, Dr. Li, and Dr. Zee reported no relevant financial disclosures.
according to a new study in General Psychiatry.
The findings add to those seen in other observational studies showing afternoon napping promotes cognitive function, said the authors of the paper, published in General Psychiatry.
“The prevalence of afternoon napping has been increasing in older adults much more than in younger individuals,” wrote Han Cai, MS, of the department of geriatrics at The Fourth People’s Hospital of Wuhu, Anhui, China, and coauthors. “The elderly individuals who took afternoon naps showed significantly higher cognitive performance compared with those who did not nap.”
The researchers enrolled 2,214 people in the study – all Han Chinese and aged 60 or older. Afternoon napping was considered any period of inactivity of at least 5 minutes but less than 2 hours after lunch and outside of the person’s main sleep schedule. Those who reported ever napping – 1,534 subjects – were included in the napping group, and the others – 680 – in the nonnapping group. Patients with major physical conditions were excluded.
The Montreal Cognitive Assessment (MoCA), the Mini-Mental State Examination (MMSE), and the Neuropsychological Test Battery (NTB) were used to measure cognitive function, and 739 patients agreed to blood tests for lipid values.
The average total MMSE score was higher for the napping group at 25.3 points out of 30, than for the nonnapping group, at 24.56 (P = .003). Those in the napping group also had significantly higher scores in the orientation portion of the MoCA test, at 5.55 out of 6 points, compared with 5.41 for the nonnapping group (P = .006).
Those in the napping group scored significantly higher on the digit span and language fluency parts of the Neuropsychological Test Battery (P = .009 and .020, respectively).
Dementia was assessed with face-to-face visits with clinicians, but diagnoses of dementia were not different between the groups.
Triglycerides were found to be higher – though still in the normal range – in the napping group compared with the nonnapping group, 1.80 mmol/L to 1.75 mmol/L, the researchers found (P = .001). No differences were seen for HDL or LDL cholesterol levels, or in hypertension or diabetes, the researchers reported.
The authors noted that inflammation is likely an important feature in the relationship between napping and cognitive function. Inflammatory cytokines have been found to play a role in sleep disorders, and strong inflammatory responses can lead to adverse events, including cognitive impairment.
“Sleep is known to be a regulator of the immune response that counters these inflammatory mediators, whereas napping, in particular, is thought to be an evolved response to inflammation,” they said.
The average age of patients in the napping group was 72.8 years, slightly older than those in the nonnapping group at 71.3 years, and this was a significant difference (P = .016).
The researchers acknowledged that the study “could not show direct causality of napping, whether beneficial or harmful,” and that “a lack of detailed information regarding napping duration ... also limited the description of napping status.”
Junxin Li, PhD, RN, assistant professor at Johns Hopkins School of Nursing, Baltimore, who has studied napping and cognition, said that previous research generally supports a U-shaped relationship between napping and mental acuity, with shorter or medium-length naps benefiting cognition and no naps or naps that are too long being detrimental.
“This study looked at no nap versus naps of less than 2 hours and may not be able to capture this potential U-shaped association,” she said.
For clinicians, the duration, timing, frequency, and purpose of naps are important factors in making recommendations to patients, she said.
“For example, timing – napping in the early evening close to older adult’s bedtime may delay their bedtime and interfere with their nighttime sleep quality. Taking naps after lunchtime is hypothesized to provide the most therapeutic values to the health and usually recommended,” she said. Regular napping is better than “randomly dozing off,” Dr. Li added.
There are also cultural considerations – in east Asia, napping tends to be considered part of a healthy lifestyle, while in western countries it is not – and this could impact napping behaviors and how these behaviors affect cognition, she said.
Phyllis C. Zee, MD, PhD, director of the Center for Circadian and Sleep Medicine at the Northwestern University, Chicago, said the results are consistent with early cross-sectional studies that showed that regular, scheduled naps in the afternoon were associated with positive cognitive performance and lower cardiometabolic disease risk.
Dr. Zee noted that it’s important to recognize that the positive data are associated with naps that are planned, while older adults napping because of excess sleepiness are at a higher risk for cognitive impairment and other health issues.
The study authors, Dr. Li, and Dr. Zee reported no relevant financial disclosures.
according to a new study in General Psychiatry.
The findings add to those seen in other observational studies showing afternoon napping promotes cognitive function, said the authors of the paper, published in General Psychiatry.
“The prevalence of afternoon napping has been increasing in older adults much more than in younger individuals,” wrote Han Cai, MS, of the department of geriatrics at The Fourth People’s Hospital of Wuhu, Anhui, China, and coauthors. “The elderly individuals who took afternoon naps showed significantly higher cognitive performance compared with those who did not nap.”
The researchers enrolled 2,214 people in the study – all Han Chinese and aged 60 or older. Afternoon napping was considered any period of inactivity of at least 5 minutes but less than 2 hours after lunch and outside of the person’s main sleep schedule. Those who reported ever napping – 1,534 subjects – were included in the napping group, and the others – 680 – in the nonnapping group. Patients with major physical conditions were excluded.
The Montreal Cognitive Assessment (MoCA), the Mini-Mental State Examination (MMSE), and the Neuropsychological Test Battery (NTB) were used to measure cognitive function, and 739 patients agreed to blood tests for lipid values.
The average total MMSE score was higher for the napping group at 25.3 points out of 30, than for the nonnapping group, at 24.56 (P = .003). Those in the napping group also had significantly higher scores in the orientation portion of the MoCA test, at 5.55 out of 6 points, compared with 5.41 for the nonnapping group (P = .006).
Those in the napping group scored significantly higher on the digit span and language fluency parts of the Neuropsychological Test Battery (P = .009 and .020, respectively).
Dementia was assessed with face-to-face visits with clinicians, but diagnoses of dementia were not different between the groups.
Triglycerides were found to be higher – though still in the normal range – in the napping group compared with the nonnapping group, 1.80 mmol/L to 1.75 mmol/L, the researchers found (P = .001). No differences were seen for HDL or LDL cholesterol levels, or in hypertension or diabetes, the researchers reported.
The authors noted that inflammation is likely an important feature in the relationship between napping and cognitive function. Inflammatory cytokines have been found to play a role in sleep disorders, and strong inflammatory responses can lead to adverse events, including cognitive impairment.
“Sleep is known to be a regulator of the immune response that counters these inflammatory mediators, whereas napping, in particular, is thought to be an evolved response to inflammation,” they said.
The average age of patients in the napping group was 72.8 years, slightly older than those in the nonnapping group at 71.3 years, and this was a significant difference (P = .016).
The researchers acknowledged that the study “could not show direct causality of napping, whether beneficial or harmful,” and that “a lack of detailed information regarding napping duration ... also limited the description of napping status.”
Junxin Li, PhD, RN, assistant professor at Johns Hopkins School of Nursing, Baltimore, who has studied napping and cognition, said that previous research generally supports a U-shaped relationship between napping and mental acuity, with shorter or medium-length naps benefiting cognition and no naps or naps that are too long being detrimental.
“This study looked at no nap versus naps of less than 2 hours and may not be able to capture this potential U-shaped association,” she said.
For clinicians, the duration, timing, frequency, and purpose of naps are important factors in making recommendations to patients, she said.
“For example, timing – napping in the early evening close to older adult’s bedtime may delay their bedtime and interfere with their nighttime sleep quality. Taking naps after lunchtime is hypothesized to provide the most therapeutic values to the health and usually recommended,” she said. Regular napping is better than “randomly dozing off,” Dr. Li added.
There are also cultural considerations – in east Asia, napping tends to be considered part of a healthy lifestyle, while in western countries it is not – and this could impact napping behaviors and how these behaviors affect cognition, she said.
Phyllis C. Zee, MD, PhD, director of the Center for Circadian and Sleep Medicine at the Northwestern University, Chicago, said the results are consistent with early cross-sectional studies that showed that regular, scheduled naps in the afternoon were associated with positive cognitive performance and lower cardiometabolic disease risk.
Dr. Zee noted that it’s important to recognize that the positive data are associated with naps that are planned, while older adults napping because of excess sleepiness are at a higher risk for cognitive impairment and other health issues.
The study authors, Dr. Li, and Dr. Zee reported no relevant financial disclosures.
COVID-19 and the risk of homicide-suicide among older adults
On March 25, 2020, in Cambridge, United Kingdom, a 71-year-old man stabbed his 71-year-old wife before suffocating himself to death. The couple was reportedly anxious about the coronavirus disease 2019 (COVID-19) pandemic lockdown measures and were on the verge of running out of food and medicine.1
One week later, in Chicago, Illinois, a 54-year-old man shot and killed his female partner, age 54, before killing himself. The couple was tested for COVID-19 2 days earlier and the man believed they had contracted the virus; however, the test results for both of them had come back negative.2
Intimate partner homicide-suicide is the most dramatic domestic abuse outcome.3 Homicide-suicide is defined as “homicide committed by a person who subsequently commits suicide within one week of the homicide. In most cases the subsequent suicide occurs within a 24-hour period.”4 Approximately one-quarter of all homicide-suicides are committed by persons age ≥55 years.5,6 We believe that during the COVID-19 pandemic, the risk of homicide-suicide among older adults may be increased due to several factors, including:
- physical distancing and quarantine measures. Protocols established to slow the spread of the virus may be associated with increased rates of depression and anxiety7 and an increased risk of suicide among older adults8
- increased intimate partner violence9
- increased firearm ownership rates in the United States.10
In this article, we review studies that identified risk factors for homicide-suicide among older adults, discuss the impact the COVID-19 pandemic has had on these risks, and describe steps clinicians can take to intervene.
A review of the literature
To better characterize the perpetrators of older adult homicide-suicide, we conducted a literature search of relevant terms. We identified 9 original research publications that examined homicide-suicide in older adults.
Bourget et al11 (2010) reviewed coroners’ charts of individuals killed by an older (age ≥65) spouse or family member from 1992 through 2007 in Quebec, Canada. They identified 19 cases of homicide-suicide, 17 (90%) of which were perpetrated by men. Perpetrators and victims were married (63%), in common-law relationships (16%), or separated/divorced (16%). A history of domestic violence was documented in 4 (21%) cases. The authors found that 13 of 15 perpetrators (87%) had “major depression” and 2 perpetrators had a psychotic disorder. Substance use at the time of the event was confirmed in 6 (32%) cases. Firearms and strangulation were the top methods used to carry out the homicide-suicide.11
Cheung et al12 (2016) conducted a review of coroners’ records of homicide-suicide cases among individuals age ≥65 in New Zealand from 2007 through 2012. In all 4 cases, the perpetrators were men, and their victims were predominantly female, live-in family members. Two cases involved men with a history of domestic violence who were undergoing significant changes in their home and social lives. Both men had a history suggestive of depression and used a firearm to carry out the homicide-suicide.12
Continue to: Cohen et al
Cohen et al13 (1998) conducted a review of coroners’ records from 1988 through 1994 in 2 regions in Florida. They found 48 intimate partner homicide-suicide cases among “old couples” (age ≥55). All were perpetrated by men. The authors identified sociocultural differences in risk factors between the 2 regions. In west-central Florida, perpetrators and victims were predominantly white and in a spousal relationship. Domestic violence was documented in <4% of cases. Approximately 55% of the couples were reported to be ill, and a substantial proportion were documented to be declining in health. One-quarter of the perpetrators and one-third of the victims had “pain and suffering.” More than one-third of perpetrators were reported to have “depression,” 15% were reported to have talked about suicide, and 4% had a history of a suicide attempt. Only 11% of perpetrators were described as abusing substances.
The authors noted several differences in cases in southeastern Florida. Approximately two-thirds of the couples were Hispanic, and 14% had a history of domestic violence. A minority of the couples were in a live-in relationship. Less than 15% of the perpetrators and victims were described as having a decline in health. Additionally, only 19% of perpetrators were reported to have “depression,” and none of the perpetrators had a documented history of attempted suicide or substance abuse. No information was provided regarding the methods used to carry out the homicide-suicide in the southeastern region.13 Financial stress was not a factor in either region.
Malphurs et al14 (2001) used the same database described in the Cohen et al13 study to compare 27 perpetrators of homicide-suicide to 36 age-matched suicide decedents in west central Florida. They found that homicide-suicide perpetrators were significantly less likely to have health problems and were 3 times more likely to be caregivers to their spouses. Approximately 52% of perpetrators had at least 1 documented psychiatric symptom (“depression” and/or substance abuse or other), but only 5% were seeking mental health services at the time of death.14
De Koning and Piette15 (2014) conducted a retrospective medicolegal chart review from 1935 to 2010 to identify homicide-suicide cases in West and East Flanders, Belgium. They found 19 cases of intimate partner homicide-suicide committed by offenders age ≥55 years. Ninety-five percent of the perpetrators were men who killed their female partners. In one-quarter of the cases, either the perpetrator or the victim had a health issue; 21% of the perpetrators were documented as having depression and 27% had alcohol intoxication at the time of death. A motive was documented in 14 out of 19 cases; “mercy killing” was determined as the motive in 6 (43%) cases and “amorous jealousy” in 5 cases (36%).15 Starting in the 1970s, firearms were the most prevalent method used to kill a partner.
Logan et al16 (2019) used data from the National Violent Death Reporting System between 2003 and 2015 to identify characteristics that differentiated male suicide decedents from male perpetrators of intimate partner homicide-suicide. They found that men age 50 to 64 years were 3 times more likely than men age 18 to 34 years to commit intimate partner homicide-suicide, and that men age ≥65 years were approximately 5 times more likely than men age 18 to 34 years to commit intimate partner homicide-suicide. The authors found that approximately 22% of all perpetrators had a documented history of physical domestic violence, and close to 17% had a prior interaction with the criminal justice system. Furthermore, one-third of perpetrators had relationship difficulties and were in the process of a breakup. Health issues were prevalent in 34% of the victims and 26% of the perpetrators. Perpetrator-caregiver burden was reported as a contributing factor for homicide-suicide in 16% of cases. In 27% of cases, multiple health-related contributing factors were mentioned.16
Continue to: Malphurs and Cohen
Malphurs and Cohen5 (2002) reviewed American newspapers from 1997 through 1999 and identified 673 homicide-suicide events, of which 152 (27%) were committed by individuals age ≥55 years. The victims and perpetrators (95% of which were men) were intimate partners in three-quarters of cases. In nearly one-third of cases, caregiving was a contributing factor for the homicide-suicide. A history of or a pending divorce was reported in nearly 14% of cases. Substance use history was rarely recorded. Firearms were used in 88% of the homicide-suicide cases.5
Malphurs and Cohen17 (2005) reviewed coroner records between 1998 and 1999 in Florida and compared 20 cases of intimate partner homicide-suicide involving perpetrators age ≥55 years with matched suicide decedents. They found that 60% of homicide-suicide perpetrators had documented health issues. The authors reported that a “recent change in health status” was more prevalent among perpetrators compared with decedents. Perpetrators were also more likely to be caregivers to their spouses. The authors found that 65% of perpetrators were reported to have a “depressed mood” and 15% of perpetrators had reportedly threatened suicide prior to the incident. However, none of the perpetrators tested positive for antidepressants as documented on post-mortem toxicology reports. Firearms were used in 100% of homicide-suicide cases.17
Salari3 (2007) reviewed multiple American media sources and published police reports between 1999 and 2005 to retrieve data about intimate partner homicide-suicide events in the United States. There were 225 events identified where the perpetrator and/or the victim were age ≥60 years. Ninety-six percent of the perpetrators were men and most homicide-suicide events were committed at the home. A history of domestic violence was reported in 14% of homicide-suicide cases. Thirteen percent of couples were separated or divorced. The perpetrator and/or victim had health issues in 124 (55%) events. Dementia was reported in 7.5% of cases, but overwhelmingly among the victims. Substance abuse was rarely mentioned as a contributing factor. In three-quarters of cases where a motive was described, the perpetrator was “suicidal”; however, a “suicide pact” was mentioned in only 4% of cases. Firearms were used in 87% of cases.3
Focus on common risk factors
The scarcity and heterogeneity of research regarding older adult homicide-suicide were major limitations to our review. Because most of the studies we identified had a small sample size and limited information regarding the mental health of victims and perpetrators, it would be an overreach to claim to have identified a typical profile of an older perpetrator of homicide-suicide. However, the literature has repeatedly identified several common characteristics of such perpetrators. They are significantly more likely to be men who use firearms to murder their intimate partners and then die by suicide in their home (Table3,5,11-17). Health issues afflicting 1 or both individuals in the couple appear to be a contributing factor, particularly when the perpetrator is in a caregiving role. Relational discord, with or without a history of domestic violence, increases the risk of homicide-suicide. Finally, older perpetrators are highly likely to be depressed and have suicidal ideations.
How COVID-19 affects these risks
Although it is too early to determine if there is a causal relationship between the COVID-19 pandemic and an increase in homicide-suicide, the pandemic is likely to promote risk factors for these events, especially among older adults. Confinement measures put into place during the pandemic context have already been shown to increase rates of domestic violence18 and depression and anxiety among older individuals.7 Furthermore,
Continue to: Late-life psychiatric disorders
Late-life psychiatric disorders
Early recognition and effective treatment of late-life psychiatric disorders is crucial. Unfortunately, depression in geriatric patients is often underdiagnosed and undertreated.20 Older adults have more frequent contact with their primary care physicians, and rarely consult mental health professionals.21,22 Several models of integrated depression care within primary care settings have shown the positive impact of this collaborative approach in treating late-life depression and preventing suicide in older individuals.23 Additionally, because alcohol abuse is also a risk factor for domestic violence and breaking the law in this population,24,25 older adults should be screened for alcohol use disorders, and referred to treatment when necessary.
Take steps to keep patients safe
In the context of the COVID-19 pandemic, there are several steps clinicians need to keep in mind when interacting with older patients:
- Screen for depressive symptoms, suicidality, and alcohol and substance use disorders. Individuals who have tested positive for COVID-19 or who have been in contact with a carrier are a particularly vulnerable population.
- Screen for domestic violence and access to weapons at home.4 Any older adult who has a psychiatric disorder and/or suicide ideation should receive immediate intervention through a social worker that includes providing gun-risk education to other family members or contacting law-enforcement officials.26
- Refer patients with a suspected psychiatric disorder to specialized mental health clinicians. Telemental health services can provide rapid access to subspecialists, allowing patients to be treated from their homes.27 These services need to be promoted among older adults during this critical period and reimbursed by public and private insurance systems to ensure accessibility and affordability.28
- Create psychiatric inpatient units specifically designed for suicidal and/or homicidal patients with COVID-19.
Additionally, informing the public about these major health issues is crucial. The media can raise awareness about domestic violence and depression among older adults; however, this should be done responsibly and with accuracy to prevent the spread of misinformation, confusion, fear, and panic.29
Bottom Line
The mental health burden of the coronavirus disease 2019 pandemic has significantly impacted individuals who are older and most vulnerable. Reducing the incidence of homicide-suicide among older adults requires timely screening and interventions by primary care providers, mental health specialists, social workers, media, and governmental agencies.
Related Resources
- Saeed SA, Hebishi K. The psychiatric consequences of COVID-19: 8 studies. Current Psychiatry. 2020;19(11):22-24,28-30,32-35.
- Schwab-Reese LM, Murfree L, Coppola EC, et al. Homicidesuicide across the lifespan: a mixed methods examination of factors contributing to older adult perpetration. Aging Ment Health. 2020;20:1-9.
1. Christodoulou H. LOCKDOWN ‘MURDER-SUICIDE’ OAP, 71, ‘stabbed wife to death then killed himself as he worried about coping with coronavirus lockdown.’ The Sun. Updated April 4, 2020. Accessed December 22, 2020. https://www.thesun.co.uk/news/11327095/coronavirus-lockdown-murder-suicide-cambridge/
2. Farberov S. Illinois man, 54, shoots dead his wife then kills himself in murder-suicide because he feared they had coronavirus - but tests later show the couple were NOT ill. Updated April 6, 2020. Accessed December 22, 2020. https://www.dailymail.co.uk/news/article-8191933/Man-kills-wife-feared-coronavirus.html
3. Salari S. Patterns of intimate partner homicide suicide in later life: strategies for prevention. Clin Interv Aging. 2007;2(3):441-452.
4. Kotzé C, Roos JL. Homicide–suicide: practical implications for risk reduction and support services at primary care level. South African Family Practice. 2019;61(4):165-169.
5. Malphurs JE, Cohen D. A newspaper surveillance study of homicide-suicide in the United States. Am J Forensic Med Pathol. 2002;23(2):142-148.
6. Eliason S. Murder-suicide: a review of the recent literature. J Am Acad Psychiatry Law. 2009;37(3):371-376.
7. Armitage R, Nellums LB. COVID-19 and the consequences of isolating the elderly. Lancet Public Health. 2020;5(5):e256. doi: 10.1016/S2468-2667(20)30061-X
8. Gunnell D, Appleby L, Arensman E, et al. Suicide risk and prevention during the COVID-19 pandemic. Lancet Psychiatry 2020;7(6):468-471.
9. Gosangi B, Park H, Thomas R, et al. Exacerbation of physical intimate partner violence during COVID-19 pandemic. Radiology. 2021;298(1):E38-E45.
10. Mannix R, Lee LK, Fleegler EW. Coronavirus disease 2019 (COVID-19) and firearms in the United States: will an epidemic of suicide follow? Ann Intern Med. 2020;173(3):228-229.
11. Bourget D, Gagne P, Whitehurst L. Domestic homicide and homicide-suicide: the older offender. J Am Acad Psychiatry Law. 2010;38(3):305-311.
12. Cheung G, Hatters Friedman S, Sundram F. Late-life homicide-suicide: a national case series in New Zealand. Psychogeriatrics. 2016;16(1):76-81.
13. Cohen D, Llorente M, Eisdorfer C. Homicide-suicide in older persons. Am J Psychiatry. 1998;155(3):390-396.
14. Malphurs JE, Eisdorfer C, Cohen D. A comparison of antecedents of homicide-suicide and suicide in older married men. Am J Geriatr Psychiatry. 2001;9(1):49-57.
15. De Koning E, Piette MHA. A retrospective study of murder–suicide at the Forensic Institute of Ghent University, Belgium: 1935–2010. Med Sci Law. 2014;54(2):88-98.
16. Logan JE, Ertl A, Bossarte R. Correlates of intimate partner homicide among male suicide decedents with known intimate partner problems. Suicide Life Threat Behav. 2019;49(6):1693-1706.
17. Malphurs JE, Cohen D. A statewide case-control study of spousal homicide-suicide in older persons. Am J Geriatr Psychiatry. 2005;13(3):211-217.
18. Sanford A. ‘Horrifying surge in domestic violence’ against women amid coronavirus-lockdowns, UN chief warns. Euronews. Published June 4, 2020. Accessed December 22, 2020. https://www.euronews.com/2020/04/06/horrifying-surge-in-domestic-violence-against-women-amid-coronavirus-lockdowns-un-chief-w
19. Appel JM. Intimate partner homicide in elderly populations. In: Friedman SH, ed. Family murder: pathologies of love and hate. American Psychiatric Association Publishing; 2019:131-142.
20. Hall CA, Reynolds-III CF. Late-life depression in the primary care setting: challenges, collaborative care, and prevention. Maturitas. 2014;79(2):147-152.
21. Unützer J. Diagnosis and treatment of older adults with depression in primary care. Biological Psychiatry. 2002;52(3):285-292.
22. Byers AL, Arean PA, Yaffe K. Low use of mental health services among older Americans with mood and anxiety disorders. Psychiatr Serv. 2012;63(1):66-72.
23. Bruce ML, Sirey JA. Integrated care for depression in older primary care patients. Can J Psychiatry. 2018;63(7):439-446.
24. Rao R, Roche A. Substance misuse in older people. BMJ. 2017;358:j3885. doi: 10.1136/bmj.j3885
25. Ghossoub E, Khoury R. Prevalence and correlates of criminal behavior among the non-institutionalized elderly: results from the National Survey on Drug Use and Health. J Geriatr Psychiatry Neurol. 2018;31(4):211-222.
26. Slater MAG. Older adults at risk for suicide. In: Berkman B. Handbook of social work in health and aging. Oxford University Press; 2006:149-161.
27. Hollander JE, Carr BG. Virtually perfect? Telemedicine for Covid-19. N Engl J Med. 2020;382(18):1679-1681.
28. Centers for Medicare & Medicaid Services. President Trump expands telehealth benefits for Medicare beneficiaries during COVID-19 outbreak. Published March 17, 2020. Accessed December 23, 2020. https://www.cms.gov/newsroom/press-releases/president-trump-expands-telehealth-benefits-medicare-beneficiaries-during-covid-19-outbreak
29. Mian A, Khan S. Coronavirus: the spread of misinformation. BMC Med. 2020;18(1):89.
On March 25, 2020, in Cambridge, United Kingdom, a 71-year-old man stabbed his 71-year-old wife before suffocating himself to death. The couple was reportedly anxious about the coronavirus disease 2019 (COVID-19) pandemic lockdown measures and were on the verge of running out of food and medicine.1
One week later, in Chicago, Illinois, a 54-year-old man shot and killed his female partner, age 54, before killing himself. The couple was tested for COVID-19 2 days earlier and the man believed they had contracted the virus; however, the test results for both of them had come back negative.2
Intimate partner homicide-suicide is the most dramatic domestic abuse outcome.3 Homicide-suicide is defined as “homicide committed by a person who subsequently commits suicide within one week of the homicide. In most cases the subsequent suicide occurs within a 24-hour period.”4 Approximately one-quarter of all homicide-suicides are committed by persons age ≥55 years.5,6 We believe that during the COVID-19 pandemic, the risk of homicide-suicide among older adults may be increased due to several factors, including:
- physical distancing and quarantine measures. Protocols established to slow the spread of the virus may be associated with increased rates of depression and anxiety7 and an increased risk of suicide among older adults8
- increased intimate partner violence9
- increased firearm ownership rates in the United States.10
In this article, we review studies that identified risk factors for homicide-suicide among older adults, discuss the impact the COVID-19 pandemic has had on these risks, and describe steps clinicians can take to intervene.
A review of the literature
To better characterize the perpetrators of older adult homicide-suicide, we conducted a literature search of relevant terms. We identified 9 original research publications that examined homicide-suicide in older adults.
Bourget et al11 (2010) reviewed coroners’ charts of individuals killed by an older (age ≥65) spouse or family member from 1992 through 2007 in Quebec, Canada. They identified 19 cases of homicide-suicide, 17 (90%) of which were perpetrated by men. Perpetrators and victims were married (63%), in common-law relationships (16%), or separated/divorced (16%). A history of domestic violence was documented in 4 (21%) cases. The authors found that 13 of 15 perpetrators (87%) had “major depression” and 2 perpetrators had a psychotic disorder. Substance use at the time of the event was confirmed in 6 (32%) cases. Firearms and strangulation were the top methods used to carry out the homicide-suicide.11
Cheung et al12 (2016) conducted a review of coroners’ records of homicide-suicide cases among individuals age ≥65 in New Zealand from 2007 through 2012. In all 4 cases, the perpetrators were men, and their victims were predominantly female, live-in family members. Two cases involved men with a history of domestic violence who were undergoing significant changes in their home and social lives. Both men had a history suggestive of depression and used a firearm to carry out the homicide-suicide.12
Continue to: Cohen et al
Cohen et al13 (1998) conducted a review of coroners’ records from 1988 through 1994 in 2 regions in Florida. They found 48 intimate partner homicide-suicide cases among “old couples” (age ≥55). All were perpetrated by men. The authors identified sociocultural differences in risk factors between the 2 regions. In west-central Florida, perpetrators and victims were predominantly white and in a spousal relationship. Domestic violence was documented in <4% of cases. Approximately 55% of the couples were reported to be ill, and a substantial proportion were documented to be declining in health. One-quarter of the perpetrators and one-third of the victims had “pain and suffering.” More than one-third of perpetrators were reported to have “depression,” 15% were reported to have talked about suicide, and 4% had a history of a suicide attempt. Only 11% of perpetrators were described as abusing substances.
The authors noted several differences in cases in southeastern Florida. Approximately two-thirds of the couples were Hispanic, and 14% had a history of domestic violence. A minority of the couples were in a live-in relationship. Less than 15% of the perpetrators and victims were described as having a decline in health. Additionally, only 19% of perpetrators were reported to have “depression,” and none of the perpetrators had a documented history of attempted suicide or substance abuse. No information was provided regarding the methods used to carry out the homicide-suicide in the southeastern region.13 Financial stress was not a factor in either region.
Malphurs et al14 (2001) used the same database described in the Cohen et al13 study to compare 27 perpetrators of homicide-suicide to 36 age-matched suicide decedents in west central Florida. They found that homicide-suicide perpetrators were significantly less likely to have health problems and were 3 times more likely to be caregivers to their spouses. Approximately 52% of perpetrators had at least 1 documented psychiatric symptom (“depression” and/or substance abuse or other), but only 5% were seeking mental health services at the time of death.14
De Koning and Piette15 (2014) conducted a retrospective medicolegal chart review from 1935 to 2010 to identify homicide-suicide cases in West and East Flanders, Belgium. They found 19 cases of intimate partner homicide-suicide committed by offenders age ≥55 years. Ninety-five percent of the perpetrators were men who killed their female partners. In one-quarter of the cases, either the perpetrator or the victim had a health issue; 21% of the perpetrators were documented as having depression and 27% had alcohol intoxication at the time of death. A motive was documented in 14 out of 19 cases; “mercy killing” was determined as the motive in 6 (43%) cases and “amorous jealousy” in 5 cases (36%).15 Starting in the 1970s, firearms were the most prevalent method used to kill a partner.
Logan et al16 (2019) used data from the National Violent Death Reporting System between 2003 and 2015 to identify characteristics that differentiated male suicide decedents from male perpetrators of intimate partner homicide-suicide. They found that men age 50 to 64 years were 3 times more likely than men age 18 to 34 years to commit intimate partner homicide-suicide, and that men age ≥65 years were approximately 5 times more likely than men age 18 to 34 years to commit intimate partner homicide-suicide. The authors found that approximately 22% of all perpetrators had a documented history of physical domestic violence, and close to 17% had a prior interaction with the criminal justice system. Furthermore, one-third of perpetrators had relationship difficulties and were in the process of a breakup. Health issues were prevalent in 34% of the victims and 26% of the perpetrators. Perpetrator-caregiver burden was reported as a contributing factor for homicide-suicide in 16% of cases. In 27% of cases, multiple health-related contributing factors were mentioned.16
Continue to: Malphurs and Cohen
Malphurs and Cohen5 (2002) reviewed American newspapers from 1997 through 1999 and identified 673 homicide-suicide events, of which 152 (27%) were committed by individuals age ≥55 years. The victims and perpetrators (95% of which were men) were intimate partners in three-quarters of cases. In nearly one-third of cases, caregiving was a contributing factor for the homicide-suicide. A history of or a pending divorce was reported in nearly 14% of cases. Substance use history was rarely recorded. Firearms were used in 88% of the homicide-suicide cases.5
Malphurs and Cohen17 (2005) reviewed coroner records between 1998 and 1999 in Florida and compared 20 cases of intimate partner homicide-suicide involving perpetrators age ≥55 years with matched suicide decedents. They found that 60% of homicide-suicide perpetrators had documented health issues. The authors reported that a “recent change in health status” was more prevalent among perpetrators compared with decedents. Perpetrators were also more likely to be caregivers to their spouses. The authors found that 65% of perpetrators were reported to have a “depressed mood” and 15% of perpetrators had reportedly threatened suicide prior to the incident. However, none of the perpetrators tested positive for antidepressants as documented on post-mortem toxicology reports. Firearms were used in 100% of homicide-suicide cases.17
Salari3 (2007) reviewed multiple American media sources and published police reports between 1999 and 2005 to retrieve data about intimate partner homicide-suicide events in the United States. There were 225 events identified where the perpetrator and/or the victim were age ≥60 years. Ninety-six percent of the perpetrators were men and most homicide-suicide events were committed at the home. A history of domestic violence was reported in 14% of homicide-suicide cases. Thirteen percent of couples were separated or divorced. The perpetrator and/or victim had health issues in 124 (55%) events. Dementia was reported in 7.5% of cases, but overwhelmingly among the victims. Substance abuse was rarely mentioned as a contributing factor. In three-quarters of cases where a motive was described, the perpetrator was “suicidal”; however, a “suicide pact” was mentioned in only 4% of cases. Firearms were used in 87% of cases.3
Focus on common risk factors
The scarcity and heterogeneity of research regarding older adult homicide-suicide were major limitations to our review. Because most of the studies we identified had a small sample size and limited information regarding the mental health of victims and perpetrators, it would be an overreach to claim to have identified a typical profile of an older perpetrator of homicide-suicide. However, the literature has repeatedly identified several common characteristics of such perpetrators. They are significantly more likely to be men who use firearms to murder their intimate partners and then die by suicide in their home (Table3,5,11-17). Health issues afflicting 1 or both individuals in the couple appear to be a contributing factor, particularly when the perpetrator is in a caregiving role. Relational discord, with or without a history of domestic violence, increases the risk of homicide-suicide. Finally, older perpetrators are highly likely to be depressed and have suicidal ideations.
How COVID-19 affects these risks
Although it is too early to determine if there is a causal relationship between the COVID-19 pandemic and an increase in homicide-suicide, the pandemic is likely to promote risk factors for these events, especially among older adults. Confinement measures put into place during the pandemic context have already been shown to increase rates of domestic violence18 and depression and anxiety among older individuals.7 Furthermore,
Continue to: Late-life psychiatric disorders
Late-life psychiatric disorders
Early recognition and effective treatment of late-life psychiatric disorders is crucial. Unfortunately, depression in geriatric patients is often underdiagnosed and undertreated.20 Older adults have more frequent contact with their primary care physicians, and rarely consult mental health professionals.21,22 Several models of integrated depression care within primary care settings have shown the positive impact of this collaborative approach in treating late-life depression and preventing suicide in older individuals.23 Additionally, because alcohol abuse is also a risk factor for domestic violence and breaking the law in this population,24,25 older adults should be screened for alcohol use disorders, and referred to treatment when necessary.
Take steps to keep patients safe
In the context of the COVID-19 pandemic, there are several steps clinicians need to keep in mind when interacting with older patients:
- Screen for depressive symptoms, suicidality, and alcohol and substance use disorders. Individuals who have tested positive for COVID-19 or who have been in contact with a carrier are a particularly vulnerable population.
- Screen for domestic violence and access to weapons at home.4 Any older adult who has a psychiatric disorder and/or suicide ideation should receive immediate intervention through a social worker that includes providing gun-risk education to other family members or contacting law-enforcement officials.26
- Refer patients with a suspected psychiatric disorder to specialized mental health clinicians. Telemental health services can provide rapid access to subspecialists, allowing patients to be treated from their homes.27 These services need to be promoted among older adults during this critical period and reimbursed by public and private insurance systems to ensure accessibility and affordability.28
- Create psychiatric inpatient units specifically designed for suicidal and/or homicidal patients with COVID-19.
Additionally, informing the public about these major health issues is crucial. The media can raise awareness about domestic violence and depression among older adults; however, this should be done responsibly and with accuracy to prevent the spread of misinformation, confusion, fear, and panic.29
Bottom Line
The mental health burden of the coronavirus disease 2019 pandemic has significantly impacted individuals who are older and most vulnerable. Reducing the incidence of homicide-suicide among older adults requires timely screening and interventions by primary care providers, mental health specialists, social workers, media, and governmental agencies.
Related Resources
- Saeed SA, Hebishi K. The psychiatric consequences of COVID-19: 8 studies. Current Psychiatry. 2020;19(11):22-24,28-30,32-35.
- Schwab-Reese LM, Murfree L, Coppola EC, et al. Homicidesuicide across the lifespan: a mixed methods examination of factors contributing to older adult perpetration. Aging Ment Health. 2020;20:1-9.
On March 25, 2020, in Cambridge, United Kingdom, a 71-year-old man stabbed his 71-year-old wife before suffocating himself to death. The couple was reportedly anxious about the coronavirus disease 2019 (COVID-19) pandemic lockdown measures and were on the verge of running out of food and medicine.1
One week later, in Chicago, Illinois, a 54-year-old man shot and killed his female partner, age 54, before killing himself. The couple was tested for COVID-19 2 days earlier and the man believed they had contracted the virus; however, the test results for both of them had come back negative.2
Intimate partner homicide-suicide is the most dramatic domestic abuse outcome.3 Homicide-suicide is defined as “homicide committed by a person who subsequently commits suicide within one week of the homicide. In most cases the subsequent suicide occurs within a 24-hour period.”4 Approximately one-quarter of all homicide-suicides are committed by persons age ≥55 years.5,6 We believe that during the COVID-19 pandemic, the risk of homicide-suicide among older adults may be increased due to several factors, including:
- physical distancing and quarantine measures. Protocols established to slow the spread of the virus may be associated with increased rates of depression and anxiety7 and an increased risk of suicide among older adults8
- increased intimate partner violence9
- increased firearm ownership rates in the United States.10
In this article, we review studies that identified risk factors for homicide-suicide among older adults, discuss the impact the COVID-19 pandemic has had on these risks, and describe steps clinicians can take to intervene.
A review of the literature
To better characterize the perpetrators of older adult homicide-suicide, we conducted a literature search of relevant terms. We identified 9 original research publications that examined homicide-suicide in older adults.
Bourget et al11 (2010) reviewed coroners’ charts of individuals killed by an older (age ≥65) spouse or family member from 1992 through 2007 in Quebec, Canada. They identified 19 cases of homicide-suicide, 17 (90%) of which were perpetrated by men. Perpetrators and victims were married (63%), in common-law relationships (16%), or separated/divorced (16%). A history of domestic violence was documented in 4 (21%) cases. The authors found that 13 of 15 perpetrators (87%) had “major depression” and 2 perpetrators had a psychotic disorder. Substance use at the time of the event was confirmed in 6 (32%) cases. Firearms and strangulation were the top methods used to carry out the homicide-suicide.11
Cheung et al12 (2016) conducted a review of coroners’ records of homicide-suicide cases among individuals age ≥65 in New Zealand from 2007 through 2012. In all 4 cases, the perpetrators were men, and their victims were predominantly female, live-in family members. Two cases involved men with a history of domestic violence who were undergoing significant changes in their home and social lives. Both men had a history suggestive of depression and used a firearm to carry out the homicide-suicide.12
Continue to: Cohen et al
Cohen et al13 (1998) conducted a review of coroners’ records from 1988 through 1994 in 2 regions in Florida. They found 48 intimate partner homicide-suicide cases among “old couples” (age ≥55). All were perpetrated by men. The authors identified sociocultural differences in risk factors between the 2 regions. In west-central Florida, perpetrators and victims were predominantly white and in a spousal relationship. Domestic violence was documented in <4% of cases. Approximately 55% of the couples were reported to be ill, and a substantial proportion were documented to be declining in health. One-quarter of the perpetrators and one-third of the victims had “pain and suffering.” More than one-third of perpetrators were reported to have “depression,” 15% were reported to have talked about suicide, and 4% had a history of a suicide attempt. Only 11% of perpetrators were described as abusing substances.
The authors noted several differences in cases in southeastern Florida. Approximately two-thirds of the couples were Hispanic, and 14% had a history of domestic violence. A minority of the couples were in a live-in relationship. Less than 15% of the perpetrators and victims were described as having a decline in health. Additionally, only 19% of perpetrators were reported to have “depression,” and none of the perpetrators had a documented history of attempted suicide or substance abuse. No information was provided regarding the methods used to carry out the homicide-suicide in the southeastern region.13 Financial stress was not a factor in either region.
Malphurs et al14 (2001) used the same database described in the Cohen et al13 study to compare 27 perpetrators of homicide-suicide to 36 age-matched suicide decedents in west central Florida. They found that homicide-suicide perpetrators were significantly less likely to have health problems and were 3 times more likely to be caregivers to their spouses. Approximately 52% of perpetrators had at least 1 documented psychiatric symptom (“depression” and/or substance abuse or other), but only 5% were seeking mental health services at the time of death.14
De Koning and Piette15 (2014) conducted a retrospective medicolegal chart review from 1935 to 2010 to identify homicide-suicide cases in West and East Flanders, Belgium. They found 19 cases of intimate partner homicide-suicide committed by offenders age ≥55 years. Ninety-five percent of the perpetrators were men who killed their female partners. In one-quarter of the cases, either the perpetrator or the victim had a health issue; 21% of the perpetrators were documented as having depression and 27% had alcohol intoxication at the time of death. A motive was documented in 14 out of 19 cases; “mercy killing” was determined as the motive in 6 (43%) cases and “amorous jealousy” in 5 cases (36%).15 Starting in the 1970s, firearms were the most prevalent method used to kill a partner.
Logan et al16 (2019) used data from the National Violent Death Reporting System between 2003 and 2015 to identify characteristics that differentiated male suicide decedents from male perpetrators of intimate partner homicide-suicide. They found that men age 50 to 64 years were 3 times more likely than men age 18 to 34 years to commit intimate partner homicide-suicide, and that men age ≥65 years were approximately 5 times more likely than men age 18 to 34 years to commit intimate partner homicide-suicide. The authors found that approximately 22% of all perpetrators had a documented history of physical domestic violence, and close to 17% had a prior interaction with the criminal justice system. Furthermore, one-third of perpetrators had relationship difficulties and were in the process of a breakup. Health issues were prevalent in 34% of the victims and 26% of the perpetrators. Perpetrator-caregiver burden was reported as a contributing factor for homicide-suicide in 16% of cases. In 27% of cases, multiple health-related contributing factors were mentioned.16
Continue to: Malphurs and Cohen
Malphurs and Cohen5 (2002) reviewed American newspapers from 1997 through 1999 and identified 673 homicide-suicide events, of which 152 (27%) were committed by individuals age ≥55 years. The victims and perpetrators (95% of which were men) were intimate partners in three-quarters of cases. In nearly one-third of cases, caregiving was a contributing factor for the homicide-suicide. A history of or a pending divorce was reported in nearly 14% of cases. Substance use history was rarely recorded. Firearms were used in 88% of the homicide-suicide cases.5
Malphurs and Cohen17 (2005) reviewed coroner records between 1998 and 1999 in Florida and compared 20 cases of intimate partner homicide-suicide involving perpetrators age ≥55 years with matched suicide decedents. They found that 60% of homicide-suicide perpetrators had documented health issues. The authors reported that a “recent change in health status” was more prevalent among perpetrators compared with decedents. Perpetrators were also more likely to be caregivers to their spouses. The authors found that 65% of perpetrators were reported to have a “depressed mood” and 15% of perpetrators had reportedly threatened suicide prior to the incident. However, none of the perpetrators tested positive for antidepressants as documented on post-mortem toxicology reports. Firearms were used in 100% of homicide-suicide cases.17
Salari3 (2007) reviewed multiple American media sources and published police reports between 1999 and 2005 to retrieve data about intimate partner homicide-suicide events in the United States. There were 225 events identified where the perpetrator and/or the victim were age ≥60 years. Ninety-six percent of the perpetrators were men and most homicide-suicide events were committed at the home. A history of domestic violence was reported in 14% of homicide-suicide cases. Thirteen percent of couples were separated or divorced. The perpetrator and/or victim had health issues in 124 (55%) events. Dementia was reported in 7.5% of cases, but overwhelmingly among the victims. Substance abuse was rarely mentioned as a contributing factor. In three-quarters of cases where a motive was described, the perpetrator was “suicidal”; however, a “suicide pact” was mentioned in only 4% of cases. Firearms were used in 87% of cases.3
Focus on common risk factors
The scarcity and heterogeneity of research regarding older adult homicide-suicide were major limitations to our review. Because most of the studies we identified had a small sample size and limited information regarding the mental health of victims and perpetrators, it would be an overreach to claim to have identified a typical profile of an older perpetrator of homicide-suicide. However, the literature has repeatedly identified several common characteristics of such perpetrators. They are significantly more likely to be men who use firearms to murder their intimate partners and then die by suicide in their home (Table3,5,11-17). Health issues afflicting 1 or both individuals in the couple appear to be a contributing factor, particularly when the perpetrator is in a caregiving role. Relational discord, with or without a history of domestic violence, increases the risk of homicide-suicide. Finally, older perpetrators are highly likely to be depressed and have suicidal ideations.
How COVID-19 affects these risks
Although it is too early to determine if there is a causal relationship between the COVID-19 pandemic and an increase in homicide-suicide, the pandemic is likely to promote risk factors for these events, especially among older adults. Confinement measures put into place during the pandemic context have already been shown to increase rates of domestic violence18 and depression and anxiety among older individuals.7 Furthermore,
Continue to: Late-life psychiatric disorders
Late-life psychiatric disorders
Early recognition and effective treatment of late-life psychiatric disorders is crucial. Unfortunately, depression in geriatric patients is often underdiagnosed and undertreated.20 Older adults have more frequent contact with their primary care physicians, and rarely consult mental health professionals.21,22 Several models of integrated depression care within primary care settings have shown the positive impact of this collaborative approach in treating late-life depression and preventing suicide in older individuals.23 Additionally, because alcohol abuse is also a risk factor for domestic violence and breaking the law in this population,24,25 older adults should be screened for alcohol use disorders, and referred to treatment when necessary.
Take steps to keep patients safe
In the context of the COVID-19 pandemic, there are several steps clinicians need to keep in mind when interacting with older patients:
- Screen for depressive symptoms, suicidality, and alcohol and substance use disorders. Individuals who have tested positive for COVID-19 or who have been in contact with a carrier are a particularly vulnerable population.
- Screen for domestic violence and access to weapons at home.4 Any older adult who has a psychiatric disorder and/or suicide ideation should receive immediate intervention through a social worker that includes providing gun-risk education to other family members or contacting law-enforcement officials.26
- Refer patients with a suspected psychiatric disorder to specialized mental health clinicians. Telemental health services can provide rapid access to subspecialists, allowing patients to be treated from their homes.27 These services need to be promoted among older adults during this critical period and reimbursed by public and private insurance systems to ensure accessibility and affordability.28
- Create psychiatric inpatient units specifically designed for suicidal and/or homicidal patients with COVID-19.
Additionally, informing the public about these major health issues is crucial. The media can raise awareness about domestic violence and depression among older adults; however, this should be done responsibly and with accuracy to prevent the spread of misinformation, confusion, fear, and panic.29
Bottom Line
The mental health burden of the coronavirus disease 2019 pandemic has significantly impacted individuals who are older and most vulnerable. Reducing the incidence of homicide-suicide among older adults requires timely screening and interventions by primary care providers, mental health specialists, social workers, media, and governmental agencies.
Related Resources
- Saeed SA, Hebishi K. The psychiatric consequences of COVID-19: 8 studies. Current Psychiatry. 2020;19(11):22-24,28-30,32-35.
- Schwab-Reese LM, Murfree L, Coppola EC, et al. Homicidesuicide across the lifespan: a mixed methods examination of factors contributing to older adult perpetration. Aging Ment Health. 2020;20:1-9.
1. Christodoulou H. LOCKDOWN ‘MURDER-SUICIDE’ OAP, 71, ‘stabbed wife to death then killed himself as he worried about coping with coronavirus lockdown.’ The Sun. Updated April 4, 2020. Accessed December 22, 2020. https://www.thesun.co.uk/news/11327095/coronavirus-lockdown-murder-suicide-cambridge/
2. Farberov S. Illinois man, 54, shoots dead his wife then kills himself in murder-suicide because he feared they had coronavirus - but tests later show the couple were NOT ill. Updated April 6, 2020. Accessed December 22, 2020. https://www.dailymail.co.uk/news/article-8191933/Man-kills-wife-feared-coronavirus.html
3. Salari S. Patterns of intimate partner homicide suicide in later life: strategies for prevention. Clin Interv Aging. 2007;2(3):441-452.
4. Kotzé C, Roos JL. Homicide–suicide: practical implications for risk reduction and support services at primary care level. South African Family Practice. 2019;61(4):165-169.
5. Malphurs JE, Cohen D. A newspaper surveillance study of homicide-suicide in the United States. Am J Forensic Med Pathol. 2002;23(2):142-148.
6. Eliason S. Murder-suicide: a review of the recent literature. J Am Acad Psychiatry Law. 2009;37(3):371-376.
7. Armitage R, Nellums LB. COVID-19 and the consequences of isolating the elderly. Lancet Public Health. 2020;5(5):e256. doi: 10.1016/S2468-2667(20)30061-X
8. Gunnell D, Appleby L, Arensman E, et al. Suicide risk and prevention during the COVID-19 pandemic. Lancet Psychiatry 2020;7(6):468-471.
9. Gosangi B, Park H, Thomas R, et al. Exacerbation of physical intimate partner violence during COVID-19 pandemic. Radiology. 2021;298(1):E38-E45.
10. Mannix R, Lee LK, Fleegler EW. Coronavirus disease 2019 (COVID-19) and firearms in the United States: will an epidemic of suicide follow? Ann Intern Med. 2020;173(3):228-229.
11. Bourget D, Gagne P, Whitehurst L. Domestic homicide and homicide-suicide: the older offender. J Am Acad Psychiatry Law. 2010;38(3):305-311.
12. Cheung G, Hatters Friedman S, Sundram F. Late-life homicide-suicide: a national case series in New Zealand. Psychogeriatrics. 2016;16(1):76-81.
13. Cohen D, Llorente M, Eisdorfer C. Homicide-suicide in older persons. Am J Psychiatry. 1998;155(3):390-396.
14. Malphurs JE, Eisdorfer C, Cohen D. A comparison of antecedents of homicide-suicide and suicide in older married men. Am J Geriatr Psychiatry. 2001;9(1):49-57.
15. De Koning E, Piette MHA. A retrospective study of murder–suicide at the Forensic Institute of Ghent University, Belgium: 1935–2010. Med Sci Law. 2014;54(2):88-98.
16. Logan JE, Ertl A, Bossarte R. Correlates of intimate partner homicide among male suicide decedents with known intimate partner problems. Suicide Life Threat Behav. 2019;49(6):1693-1706.
17. Malphurs JE, Cohen D. A statewide case-control study of spousal homicide-suicide in older persons. Am J Geriatr Psychiatry. 2005;13(3):211-217.
18. Sanford A. ‘Horrifying surge in domestic violence’ against women amid coronavirus-lockdowns, UN chief warns. Euronews. Published June 4, 2020. Accessed December 22, 2020. https://www.euronews.com/2020/04/06/horrifying-surge-in-domestic-violence-against-women-amid-coronavirus-lockdowns-un-chief-w
19. Appel JM. Intimate partner homicide in elderly populations. In: Friedman SH, ed. Family murder: pathologies of love and hate. American Psychiatric Association Publishing; 2019:131-142.
20. Hall CA, Reynolds-III CF. Late-life depression in the primary care setting: challenges, collaborative care, and prevention. Maturitas. 2014;79(2):147-152.
21. Unützer J. Diagnosis and treatment of older adults with depression in primary care. Biological Psychiatry. 2002;52(3):285-292.
22. Byers AL, Arean PA, Yaffe K. Low use of mental health services among older Americans with mood and anxiety disorders. Psychiatr Serv. 2012;63(1):66-72.
23. Bruce ML, Sirey JA. Integrated care for depression in older primary care patients. Can J Psychiatry. 2018;63(7):439-446.
24. Rao R, Roche A. Substance misuse in older people. BMJ. 2017;358:j3885. doi: 10.1136/bmj.j3885
25. Ghossoub E, Khoury R. Prevalence and correlates of criminal behavior among the non-institutionalized elderly: results from the National Survey on Drug Use and Health. J Geriatr Psychiatry Neurol. 2018;31(4):211-222.
26. Slater MAG. Older adults at risk for suicide. In: Berkman B. Handbook of social work in health and aging. Oxford University Press; 2006:149-161.
27. Hollander JE, Carr BG. Virtually perfect? Telemedicine for Covid-19. N Engl J Med. 2020;382(18):1679-1681.
28. Centers for Medicare & Medicaid Services. President Trump expands telehealth benefits for Medicare beneficiaries during COVID-19 outbreak. Published March 17, 2020. Accessed December 23, 2020. https://www.cms.gov/newsroom/press-releases/president-trump-expands-telehealth-benefits-medicare-beneficiaries-during-covid-19-outbreak
29. Mian A, Khan S. Coronavirus: the spread of misinformation. BMC Med. 2020;18(1):89.
1. Christodoulou H. LOCKDOWN ‘MURDER-SUICIDE’ OAP, 71, ‘stabbed wife to death then killed himself as he worried about coping with coronavirus lockdown.’ The Sun. Updated April 4, 2020. Accessed December 22, 2020. https://www.thesun.co.uk/news/11327095/coronavirus-lockdown-murder-suicide-cambridge/
2. Farberov S. Illinois man, 54, shoots dead his wife then kills himself in murder-suicide because he feared they had coronavirus - but tests later show the couple were NOT ill. Updated April 6, 2020. Accessed December 22, 2020. https://www.dailymail.co.uk/news/article-8191933/Man-kills-wife-feared-coronavirus.html
3. Salari S. Patterns of intimate partner homicide suicide in later life: strategies for prevention. Clin Interv Aging. 2007;2(3):441-452.
4. Kotzé C, Roos JL. Homicide–suicide: practical implications for risk reduction and support services at primary care level. South African Family Practice. 2019;61(4):165-169.
5. Malphurs JE, Cohen D. A newspaper surveillance study of homicide-suicide in the United States. Am J Forensic Med Pathol. 2002;23(2):142-148.
6. Eliason S. Murder-suicide: a review of the recent literature. J Am Acad Psychiatry Law. 2009;37(3):371-376.
7. Armitage R, Nellums LB. COVID-19 and the consequences of isolating the elderly. Lancet Public Health. 2020;5(5):e256. doi: 10.1016/S2468-2667(20)30061-X
8. Gunnell D, Appleby L, Arensman E, et al. Suicide risk and prevention during the COVID-19 pandemic. Lancet Psychiatry 2020;7(6):468-471.
9. Gosangi B, Park H, Thomas R, et al. Exacerbation of physical intimate partner violence during COVID-19 pandemic. Radiology. 2021;298(1):E38-E45.
10. Mannix R, Lee LK, Fleegler EW. Coronavirus disease 2019 (COVID-19) and firearms in the United States: will an epidemic of suicide follow? Ann Intern Med. 2020;173(3):228-229.
11. Bourget D, Gagne P, Whitehurst L. Domestic homicide and homicide-suicide: the older offender. J Am Acad Psychiatry Law. 2010;38(3):305-311.
12. Cheung G, Hatters Friedman S, Sundram F. Late-life homicide-suicide: a national case series in New Zealand. Psychogeriatrics. 2016;16(1):76-81.
13. Cohen D, Llorente M, Eisdorfer C. Homicide-suicide in older persons. Am J Psychiatry. 1998;155(3):390-396.
14. Malphurs JE, Eisdorfer C, Cohen D. A comparison of antecedents of homicide-suicide and suicide in older married men. Am J Geriatr Psychiatry. 2001;9(1):49-57.
15. De Koning E, Piette MHA. A retrospective study of murder–suicide at the Forensic Institute of Ghent University, Belgium: 1935–2010. Med Sci Law. 2014;54(2):88-98.
16. Logan JE, Ertl A, Bossarte R. Correlates of intimate partner homicide among male suicide decedents with known intimate partner problems. Suicide Life Threat Behav. 2019;49(6):1693-1706.
17. Malphurs JE, Cohen D. A statewide case-control study of spousal homicide-suicide in older persons. Am J Geriatr Psychiatry. 2005;13(3):211-217.
18. Sanford A. ‘Horrifying surge in domestic violence’ against women amid coronavirus-lockdowns, UN chief warns. Euronews. Published June 4, 2020. Accessed December 22, 2020. https://www.euronews.com/2020/04/06/horrifying-surge-in-domestic-violence-against-women-amid-coronavirus-lockdowns-un-chief-w
19. Appel JM. Intimate partner homicide in elderly populations. In: Friedman SH, ed. Family murder: pathologies of love and hate. American Psychiatric Association Publishing; 2019:131-142.
20. Hall CA, Reynolds-III CF. Late-life depression in the primary care setting: challenges, collaborative care, and prevention. Maturitas. 2014;79(2):147-152.
21. Unützer J. Diagnosis and treatment of older adults with depression in primary care. Biological Psychiatry. 2002;52(3):285-292.
22. Byers AL, Arean PA, Yaffe K. Low use of mental health services among older Americans with mood and anxiety disorders. Psychiatr Serv. 2012;63(1):66-72.
23. Bruce ML, Sirey JA. Integrated care for depression in older primary care patients. Can J Psychiatry. 2018;63(7):439-446.
24. Rao R, Roche A. Substance misuse in older people. BMJ. 2017;358:j3885. doi: 10.1136/bmj.j3885
25. Ghossoub E, Khoury R. Prevalence and correlates of criminal behavior among the non-institutionalized elderly: results from the National Survey on Drug Use and Health. J Geriatr Psychiatry Neurol. 2018;31(4):211-222.
26. Slater MAG. Older adults at risk for suicide. In: Berkman B. Handbook of social work in health and aging. Oxford University Press; 2006:149-161.
27. Hollander JE, Carr BG. Virtually perfect? Telemedicine for Covid-19. N Engl J Med. 2020;382(18):1679-1681.
28. Centers for Medicare & Medicaid Services. President Trump expands telehealth benefits for Medicare beneficiaries during COVID-19 outbreak. Published March 17, 2020. Accessed December 23, 2020. https://www.cms.gov/newsroom/press-releases/president-trump-expands-telehealth-benefits-medicare-beneficiaries-during-covid-19-outbreak
29. Mian A, Khan S. Coronavirus: the spread of misinformation. BMC Med. 2020;18(1):89.
Suvorexant: An option for preventing delirium?
Delirium is characterized by a disturbance of consciousness or cognition that typically has a rapid onset and fluctuating course.1 Up to 42% of hospitalized geriatric patients experience delirium.1 Approximately 10% to 31% of these patients have the condition upon admission, and the remainder develop it during their hospitalization.1 Unfortunately, options for preventing or treating delirium are limited. Benzodiazepines and antipsychotic medications have been used to treat problematic behaviors associated with delirium, but they do not effectively reduce the occurrence, duration, or severity of this condition.2,3
Recent evidence suggests that suvorexant, which is FDA-approved for insomnia, may be useful for preventing delirium. Suvorexant—a dual orexin receptor (OX1R, OX2R) antagonist—promotes sleep onset and maintenance, and is associated with normal measures of sleep activity such as rapid eye movement (REM) sleep, non-REM sleep, and sleep stage–specific electroencephalographic profiles.4 Here we review 3 studies that evaluated suvorexant for preventing delirium.
Hatta et al.5 In this randomized, placebo-controlled, blinded, multicenter study, 72 patients (age 65 to 89) newly admitted to an ICU were randomized to suvorexant, 15 mg/d, (n = 36) or placebo (n = 36) for 3 days.5 None of the patients taking suvorexant developed delirium, whereas 17% (6 patients) in the placebo group did (P = .025).5
Azuma et al.6 In this 7-day, blinded, randomized study of 70 adult patients (age ≥20) admitted to an ICU, 34 participants received suvorexant (15 mg nightly for age <65, 20 mg nightly for age ≥65) and the rest received treatment as usual (TAU). Suvorexant was associated with a lower incidence of delirium symptoms (n = 6, 17.6%) compared with TAU (n = 17, 47.2%) (P = .011).6 The onset of delirium was earlier in the TAU group (P < .05).6
Hatta et al.7 In this large prospective, observational study of adults (age >65), 526 patients with significant risk factors for delirium were prescribed suvorexant and/or ramelteon. Approximately 16% of the patients who received either or both of these medications met DSM-5 criteria for delirium, compared with 24% who did not receive these medications (P = .005).7
Acknowledgment
The authors thank Jakob Evans, BS, for compiling much of the research for this article.
1. Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364.
2. Lonergan E, Luxenberg J, Areosa Sastre A. Benzodiazepines for delirium. Cochrane Database Syst Rev. 2009;2009(4):CD006379.
3. Burry L, Mehta S, Perreault MM, et al. Antipsychotics for treatment of delirium in hospitalised non-ICU patients. Cochrane Database Syst Rev. 2018;6(6):CD005594.
4. Coleman PJ, Gotter AL, Herring WJ, et al. The discovery of suvorexant, the first orexin receptor drug for insomnia. Annu Rev Pharmacol Toxicol. 2017;57:509-533.
5. Hatta K, Kishi Y, Wada K, et al. Preventive effects of suvorexant on delirium: a randomized placebo-controlled trial. J Clin Psychiatry. 2017;78(8):e970-e979.
6. Azuma K, Takaesu Y, Soeda H, et al. Ability of suvorexant to prevent delirium in patients in the intensive care unit: a randomized controlled trial. Acute Med Surg. 2018;5(4):362-368.
7. Hatta K, Kishi Y, Wada K, et al. Real-world effectiveness of ramelteon and suvorexant for delirium prevention in 948 patients with delirium risk factors. J Clin Psychiatry. 2019;81(1):19m12865. doi: 10.4088/JCP.19m12865
Delirium is characterized by a disturbance of consciousness or cognition that typically has a rapid onset and fluctuating course.1 Up to 42% of hospitalized geriatric patients experience delirium.1 Approximately 10% to 31% of these patients have the condition upon admission, and the remainder develop it during their hospitalization.1 Unfortunately, options for preventing or treating delirium are limited. Benzodiazepines and antipsychotic medications have been used to treat problematic behaviors associated with delirium, but they do not effectively reduce the occurrence, duration, or severity of this condition.2,3
Recent evidence suggests that suvorexant, which is FDA-approved for insomnia, may be useful for preventing delirium. Suvorexant—a dual orexin receptor (OX1R, OX2R) antagonist—promotes sleep onset and maintenance, and is associated with normal measures of sleep activity such as rapid eye movement (REM) sleep, non-REM sleep, and sleep stage–specific electroencephalographic profiles.4 Here we review 3 studies that evaluated suvorexant for preventing delirium.
Hatta et al.5 In this randomized, placebo-controlled, blinded, multicenter study, 72 patients (age 65 to 89) newly admitted to an ICU were randomized to suvorexant, 15 mg/d, (n = 36) or placebo (n = 36) for 3 days.5 None of the patients taking suvorexant developed delirium, whereas 17% (6 patients) in the placebo group did (P = .025).5
Azuma et al.6 In this 7-day, blinded, randomized study of 70 adult patients (age ≥20) admitted to an ICU, 34 participants received suvorexant (15 mg nightly for age <65, 20 mg nightly for age ≥65) and the rest received treatment as usual (TAU). Suvorexant was associated with a lower incidence of delirium symptoms (n = 6, 17.6%) compared with TAU (n = 17, 47.2%) (P = .011).6 The onset of delirium was earlier in the TAU group (P < .05).6
Hatta et al.7 In this large prospective, observational study of adults (age >65), 526 patients with significant risk factors for delirium were prescribed suvorexant and/or ramelteon. Approximately 16% of the patients who received either or both of these medications met DSM-5 criteria for delirium, compared with 24% who did not receive these medications (P = .005).7
Acknowledgment
The authors thank Jakob Evans, BS, for compiling much of the research for this article.
Delirium is characterized by a disturbance of consciousness or cognition that typically has a rapid onset and fluctuating course.1 Up to 42% of hospitalized geriatric patients experience delirium.1 Approximately 10% to 31% of these patients have the condition upon admission, and the remainder develop it during their hospitalization.1 Unfortunately, options for preventing or treating delirium are limited. Benzodiazepines and antipsychotic medications have been used to treat problematic behaviors associated with delirium, but they do not effectively reduce the occurrence, duration, or severity of this condition.2,3
Recent evidence suggests that suvorexant, which is FDA-approved for insomnia, may be useful for preventing delirium. Suvorexant—a dual orexin receptor (OX1R, OX2R) antagonist—promotes sleep onset and maintenance, and is associated with normal measures of sleep activity such as rapid eye movement (REM) sleep, non-REM sleep, and sleep stage–specific electroencephalographic profiles.4 Here we review 3 studies that evaluated suvorexant for preventing delirium.
Hatta et al.5 In this randomized, placebo-controlled, blinded, multicenter study, 72 patients (age 65 to 89) newly admitted to an ICU were randomized to suvorexant, 15 mg/d, (n = 36) or placebo (n = 36) for 3 days.5 None of the patients taking suvorexant developed delirium, whereas 17% (6 patients) in the placebo group did (P = .025).5
Azuma et al.6 In this 7-day, blinded, randomized study of 70 adult patients (age ≥20) admitted to an ICU, 34 participants received suvorexant (15 mg nightly for age <65, 20 mg nightly for age ≥65) and the rest received treatment as usual (TAU). Suvorexant was associated with a lower incidence of delirium symptoms (n = 6, 17.6%) compared with TAU (n = 17, 47.2%) (P = .011).6 The onset of delirium was earlier in the TAU group (P < .05).6
Hatta et al.7 In this large prospective, observational study of adults (age >65), 526 patients with significant risk factors for delirium were prescribed suvorexant and/or ramelteon. Approximately 16% of the patients who received either or both of these medications met DSM-5 criteria for delirium, compared with 24% who did not receive these medications (P = .005).7
Acknowledgment
The authors thank Jakob Evans, BS, for compiling much of the research for this article.
1. Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364.
2. Lonergan E, Luxenberg J, Areosa Sastre A. Benzodiazepines for delirium. Cochrane Database Syst Rev. 2009;2009(4):CD006379.
3. Burry L, Mehta S, Perreault MM, et al. Antipsychotics for treatment of delirium in hospitalised non-ICU patients. Cochrane Database Syst Rev. 2018;6(6):CD005594.
4. Coleman PJ, Gotter AL, Herring WJ, et al. The discovery of suvorexant, the first orexin receptor drug for insomnia. Annu Rev Pharmacol Toxicol. 2017;57:509-533.
5. Hatta K, Kishi Y, Wada K, et al. Preventive effects of suvorexant on delirium: a randomized placebo-controlled trial. J Clin Psychiatry. 2017;78(8):e970-e979.
6. Azuma K, Takaesu Y, Soeda H, et al. Ability of suvorexant to prevent delirium in patients in the intensive care unit: a randomized controlled trial. Acute Med Surg. 2018;5(4):362-368.
7. Hatta K, Kishi Y, Wada K, et al. Real-world effectiveness of ramelteon and suvorexant for delirium prevention in 948 patients with delirium risk factors. J Clin Psychiatry. 2019;81(1):19m12865. doi: 10.4088/JCP.19m12865
1. Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364.
2. Lonergan E, Luxenberg J, Areosa Sastre A. Benzodiazepines for delirium. Cochrane Database Syst Rev. 2009;2009(4):CD006379.
3. Burry L, Mehta S, Perreault MM, et al. Antipsychotics for treatment of delirium in hospitalised non-ICU patients. Cochrane Database Syst Rev. 2018;6(6):CD005594.
4. Coleman PJ, Gotter AL, Herring WJ, et al. The discovery of suvorexant, the first orexin receptor drug for insomnia. Annu Rev Pharmacol Toxicol. 2017;57:509-533.
5. Hatta K, Kishi Y, Wada K, et al. Preventive effects of suvorexant on delirium: a randomized placebo-controlled trial. J Clin Psychiatry. 2017;78(8):e970-e979.
6. Azuma K, Takaesu Y, Soeda H, et al. Ability of suvorexant to prevent delirium in patients in the intensive care unit: a randomized controlled trial. Acute Med Surg. 2018;5(4):362-368.
7. Hatta K, Kishi Y, Wada K, et al. Real-world effectiveness of ramelteon and suvorexant for delirium prevention in 948 patients with delirium risk factors. J Clin Psychiatry. 2019;81(1):19m12865. doi: 10.4088/JCP.19m12865
First mammography guidelines for older breast cancer survivors
For women who have a life expectancy of 5-10 years, the guidelines recommend that consideration be given to discontinuing mammography.
Overall, the guidelines encourage shared decision-making that is individualized for each woman after weighing the benefits and harms associated with surveillance mammography and patient preferences.
The panel also recommended that patients with clinical findings and symptoms receive ongoing clinical breast examinations and diagnostic mammography and that patients be reassured that these practices will continue.
Guidelines on breast cancer screening for healthy women already “acknowledge the limitations of mammograms and the need to consider one’s health status and preferences when making decisions on how and when to stop routine mammograms,” said the article’s first author, Rachel A. Freedman, MD, MPH, of the Dana-Farber Cancer Institute, Boston.
However, “we don’t have this kind of consensus for women with a history of breast cancer,” she continued. “Current follow-up care guidelines simply state that women with a history of breast cancer with intact breasts should have annual mammography without any guidance.
“In practice, the use of mammograms is highly variable, with less than 50% of breast cancer survivors who have limited life expectancy having annual mammograms, according to survey data we have from prior work,” Dr. Freedman said in an interview.
The guidelines were published online Jan. 28 in JAMA Oncology.
Clinicians discuss how to have these discussions
As part of the process of developing these expert consensus guidelines, the researchers held several clinical focus groups that involved primary care physicians from Brigham and Women’s Hospital and oncology clinicians (including breast surgeons and medical oncologists) from the Dana-Farber Cancer Institute.
All clinicians felt that having expert guidelines and talking points to guide discussions would be helpful, the researchers report.
“However, some oncology clinicians felt that 75 years is often ‘too young’ to stop surveillance mammography and that 80 years may be a more comfortable age to stop routine testing,” they write. “Most clinicians felt that estimations of life expectancy, more than age, should inform the timing of this discussion.”
In contrast to primary and geriatric care clinicians, oncology clinicians reported discomfort with such discussions. They appreciated having the information but “felt it was easier to communicate findings indirectly, without specifically revealing life expectancy to patients. One oncology clinician, however, felt it would be ‘sneaky’ to calculate life expectancy without communicating this to patients, supporting more open discussions,” the authors report.
“All clinicians acknowledged that framing the conversation around patients’ low risk for in-breast cancer events and how mammography will not benefit them was more appealing than discussing life expectancy,” the researchers continue. Their literature review found that the risk of these individuals developing second breast cancers was similar to that of a healthy woman developing a first breast cancer, leading one clinician to comment: “If their risk is really equivalent to the general population – that is very powerful.”
“Some clinicians reported that they ‘focus on the risks’ or frame such discussions by asking: ‘If you were to find something on [a] mammogram, would you do anything about it?’ If a patient answered no, clinicians felt this was a signal to stop mammography,” they noted.
Literature review finds very low risk
Dr. Freedman and colleagues conducted a literature review of the risk for ipsilateral and contralateral breast cancer events among survivors and of the harms and benefits associated with mammography. Following the literature review, a multidisciplinary expert panel, which included patients and patient advocates, was convened to develop consensus guidelines.
The literature review confirmed that there was a low risk for in-breast cancer events in this population and that the risk was particularly low among patients who undergo treatment with endocrine therapy. Among those who did not receive systemic therapy for ERBB2-positive or triple-negative cancers, the rates of ipsilateral recurrence were estimated to be higher.
On the basis of the literature review, the estimated 10-year risk for in-breast cancer events ranged from 1% to 15% for ipsilateral breast cancers and from 1% to 5% for contralateral cancers. Among women in the same age group who did not have a history of breast cancer, the 5-year risk of developing the disease (average risk) was 2.2%.
The authors note that these findings mirror their estimates for new breast cancers among survivors who had low-risk disease. The findings are also similar to those cited in a large-scale mammography study, in which breast cancer survivors aged 70-80 years had a 1.1% annual risk for in-breast cancers. The risk was 0.7%-0.9% for similarly aged patients who did not have a history of breast cancer.
The benefits associated with mammography for older women are not well defined, but the literature suggests that mammography offers little to modest clinical benefit for patients in this age group. The limited benefits are likely because of the more than 10-year time lag that is needed to detect the small improvements in breast cancer mortality; slow-growing tumors generally do not affect the life expectancy of older women, they point out.
“Through our expert consensus process and after iterative feedback from clinicians, we created guidelines to support patients and clinicians in making individualized decisions on how and when to stop mammography,” said Dr. Freedman. “These guidelines are based on the risk of a breast cancer returning in the breast, one’s underlying health, and one’s preferences.”
The guidelines are also intended to provide information to patients on the benefits and harms of mammography in this setting, in addition to “how much we anticipate a mammogram may or may not continue to help a woman over time,” she said.
A companion guide for patients on these guidelines will be published in the coming months.
Dr. Freedman has received institutional clinical trial funding from Eisai and Puma Biotechnology outside the submitted work.
A version of this article first appeared on Medscape.com.
For women who have a life expectancy of 5-10 years, the guidelines recommend that consideration be given to discontinuing mammography.
Overall, the guidelines encourage shared decision-making that is individualized for each woman after weighing the benefits and harms associated with surveillance mammography and patient preferences.
The panel also recommended that patients with clinical findings and symptoms receive ongoing clinical breast examinations and diagnostic mammography and that patients be reassured that these practices will continue.
Guidelines on breast cancer screening for healthy women already “acknowledge the limitations of mammograms and the need to consider one’s health status and preferences when making decisions on how and when to stop routine mammograms,” said the article’s first author, Rachel A. Freedman, MD, MPH, of the Dana-Farber Cancer Institute, Boston.
However, “we don’t have this kind of consensus for women with a history of breast cancer,” she continued. “Current follow-up care guidelines simply state that women with a history of breast cancer with intact breasts should have annual mammography without any guidance.
“In practice, the use of mammograms is highly variable, with less than 50% of breast cancer survivors who have limited life expectancy having annual mammograms, according to survey data we have from prior work,” Dr. Freedman said in an interview.
The guidelines were published online Jan. 28 in JAMA Oncology.
Clinicians discuss how to have these discussions
As part of the process of developing these expert consensus guidelines, the researchers held several clinical focus groups that involved primary care physicians from Brigham and Women’s Hospital and oncology clinicians (including breast surgeons and medical oncologists) from the Dana-Farber Cancer Institute.
All clinicians felt that having expert guidelines and talking points to guide discussions would be helpful, the researchers report.
“However, some oncology clinicians felt that 75 years is often ‘too young’ to stop surveillance mammography and that 80 years may be a more comfortable age to stop routine testing,” they write. “Most clinicians felt that estimations of life expectancy, more than age, should inform the timing of this discussion.”
In contrast to primary and geriatric care clinicians, oncology clinicians reported discomfort with such discussions. They appreciated having the information but “felt it was easier to communicate findings indirectly, without specifically revealing life expectancy to patients. One oncology clinician, however, felt it would be ‘sneaky’ to calculate life expectancy without communicating this to patients, supporting more open discussions,” the authors report.
“All clinicians acknowledged that framing the conversation around patients’ low risk for in-breast cancer events and how mammography will not benefit them was more appealing than discussing life expectancy,” the researchers continue. Their literature review found that the risk of these individuals developing second breast cancers was similar to that of a healthy woman developing a first breast cancer, leading one clinician to comment: “If their risk is really equivalent to the general population – that is very powerful.”
“Some clinicians reported that they ‘focus on the risks’ or frame such discussions by asking: ‘If you were to find something on [a] mammogram, would you do anything about it?’ If a patient answered no, clinicians felt this was a signal to stop mammography,” they noted.
Literature review finds very low risk
Dr. Freedman and colleagues conducted a literature review of the risk for ipsilateral and contralateral breast cancer events among survivors and of the harms and benefits associated with mammography. Following the literature review, a multidisciplinary expert panel, which included patients and patient advocates, was convened to develop consensus guidelines.
The literature review confirmed that there was a low risk for in-breast cancer events in this population and that the risk was particularly low among patients who undergo treatment with endocrine therapy. Among those who did not receive systemic therapy for ERBB2-positive or triple-negative cancers, the rates of ipsilateral recurrence were estimated to be higher.
On the basis of the literature review, the estimated 10-year risk for in-breast cancer events ranged from 1% to 15% for ipsilateral breast cancers and from 1% to 5% for contralateral cancers. Among women in the same age group who did not have a history of breast cancer, the 5-year risk of developing the disease (average risk) was 2.2%.
The authors note that these findings mirror their estimates for new breast cancers among survivors who had low-risk disease. The findings are also similar to those cited in a large-scale mammography study, in which breast cancer survivors aged 70-80 years had a 1.1% annual risk for in-breast cancers. The risk was 0.7%-0.9% for similarly aged patients who did not have a history of breast cancer.
The benefits associated with mammography for older women are not well defined, but the literature suggests that mammography offers little to modest clinical benefit for patients in this age group. The limited benefits are likely because of the more than 10-year time lag that is needed to detect the small improvements in breast cancer mortality; slow-growing tumors generally do not affect the life expectancy of older women, they point out.
“Through our expert consensus process and after iterative feedback from clinicians, we created guidelines to support patients and clinicians in making individualized decisions on how and when to stop mammography,” said Dr. Freedman. “These guidelines are based on the risk of a breast cancer returning in the breast, one’s underlying health, and one’s preferences.”
The guidelines are also intended to provide information to patients on the benefits and harms of mammography in this setting, in addition to “how much we anticipate a mammogram may or may not continue to help a woman over time,” she said.
A companion guide for patients on these guidelines will be published in the coming months.
Dr. Freedman has received institutional clinical trial funding from Eisai and Puma Biotechnology outside the submitted work.
A version of this article first appeared on Medscape.com.
For women who have a life expectancy of 5-10 years, the guidelines recommend that consideration be given to discontinuing mammography.
Overall, the guidelines encourage shared decision-making that is individualized for each woman after weighing the benefits and harms associated with surveillance mammography and patient preferences.
The panel also recommended that patients with clinical findings and symptoms receive ongoing clinical breast examinations and diagnostic mammography and that patients be reassured that these practices will continue.
Guidelines on breast cancer screening for healthy women already “acknowledge the limitations of mammograms and the need to consider one’s health status and preferences when making decisions on how and when to stop routine mammograms,” said the article’s first author, Rachel A. Freedman, MD, MPH, of the Dana-Farber Cancer Institute, Boston.
However, “we don’t have this kind of consensus for women with a history of breast cancer,” she continued. “Current follow-up care guidelines simply state that women with a history of breast cancer with intact breasts should have annual mammography without any guidance.
“In practice, the use of mammograms is highly variable, with less than 50% of breast cancer survivors who have limited life expectancy having annual mammograms, according to survey data we have from prior work,” Dr. Freedman said in an interview.
The guidelines were published online Jan. 28 in JAMA Oncology.
Clinicians discuss how to have these discussions
As part of the process of developing these expert consensus guidelines, the researchers held several clinical focus groups that involved primary care physicians from Brigham and Women’s Hospital and oncology clinicians (including breast surgeons and medical oncologists) from the Dana-Farber Cancer Institute.
All clinicians felt that having expert guidelines and talking points to guide discussions would be helpful, the researchers report.
“However, some oncology clinicians felt that 75 years is often ‘too young’ to stop surveillance mammography and that 80 years may be a more comfortable age to stop routine testing,” they write. “Most clinicians felt that estimations of life expectancy, more than age, should inform the timing of this discussion.”
In contrast to primary and geriatric care clinicians, oncology clinicians reported discomfort with such discussions. They appreciated having the information but “felt it was easier to communicate findings indirectly, without specifically revealing life expectancy to patients. One oncology clinician, however, felt it would be ‘sneaky’ to calculate life expectancy without communicating this to patients, supporting more open discussions,” the authors report.
“All clinicians acknowledged that framing the conversation around patients’ low risk for in-breast cancer events and how mammography will not benefit them was more appealing than discussing life expectancy,” the researchers continue. Their literature review found that the risk of these individuals developing second breast cancers was similar to that of a healthy woman developing a first breast cancer, leading one clinician to comment: “If their risk is really equivalent to the general population – that is very powerful.”
“Some clinicians reported that they ‘focus on the risks’ or frame such discussions by asking: ‘If you were to find something on [a] mammogram, would you do anything about it?’ If a patient answered no, clinicians felt this was a signal to stop mammography,” they noted.
Literature review finds very low risk
Dr. Freedman and colleagues conducted a literature review of the risk for ipsilateral and contralateral breast cancer events among survivors and of the harms and benefits associated with mammography. Following the literature review, a multidisciplinary expert panel, which included patients and patient advocates, was convened to develop consensus guidelines.
The literature review confirmed that there was a low risk for in-breast cancer events in this population and that the risk was particularly low among patients who undergo treatment with endocrine therapy. Among those who did not receive systemic therapy for ERBB2-positive or triple-negative cancers, the rates of ipsilateral recurrence were estimated to be higher.
On the basis of the literature review, the estimated 10-year risk for in-breast cancer events ranged from 1% to 15% for ipsilateral breast cancers and from 1% to 5% for contralateral cancers. Among women in the same age group who did not have a history of breast cancer, the 5-year risk of developing the disease (average risk) was 2.2%.
The authors note that these findings mirror their estimates for new breast cancers among survivors who had low-risk disease. The findings are also similar to those cited in a large-scale mammography study, in which breast cancer survivors aged 70-80 years had a 1.1% annual risk for in-breast cancers. The risk was 0.7%-0.9% for similarly aged patients who did not have a history of breast cancer.
The benefits associated with mammography for older women are not well defined, but the literature suggests that mammography offers little to modest clinical benefit for patients in this age group. The limited benefits are likely because of the more than 10-year time lag that is needed to detect the small improvements in breast cancer mortality; slow-growing tumors generally do not affect the life expectancy of older women, they point out.
“Through our expert consensus process and after iterative feedback from clinicians, we created guidelines to support patients and clinicians in making individualized decisions on how and when to stop mammography,” said Dr. Freedman. “These guidelines are based on the risk of a breast cancer returning in the breast, one’s underlying health, and one’s preferences.”
The guidelines are also intended to provide information to patients on the benefits and harms of mammography in this setting, in addition to “how much we anticipate a mammogram may or may not continue to help a woman over time,” she said.
A companion guide for patients on these guidelines will be published in the coming months.
Dr. Freedman has received institutional clinical trial funding from Eisai and Puma Biotechnology outside the submitted work.
A version of this article first appeared on Medscape.com.
Menopause, not aging, may influence brain volume
Postmenopausal women not only have larger brain volume than women who are premenopausal, but they also experience larger reductions in brain volume over time, reported Ananthan Ambikairajah of the Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, and associates. Their report was published in Menopause.
In this large population-based cohort of 5,072 women aged 37-73 years, the goal of the study was to look at links between brain volume and measures of menstruation history, such as menopausal status, age at menopause, age at menarche, and the duration of a woman’s reproductive stage, but to do so within the context of how it relates to dementia prevalence. Citing a study in The Lancet Neurology, the authors noted that the age-standardized prevalence for dementia is 17% higher in women than in men, and they speculated that it may be important to look beyond age for answers.
What about menstrual history and Alzheimer’s disease?
According to the Framingham Study in Neurology, the remaining lifetime risk of Alzheimer’s disease (AD) is nearly double for a 65-year-old woman (12%) compared with a 65-year-old man (6.3%), leading Mr. Ambikairajah and associates to conclude that “menstruation history may also be particularly relevant, given that it is unique to female aging.” They further speculated, citing several related studies, that because AD pathology is initiated decades prior to the onset of clinical signs, menstruation history and its effects on brain health may, in fact, be reflected in brain volume.
Postmenopausal women had 0.82% and 1.33% larger total brain and hippocampal volume, respectively, compared with premenopausal women. Postmenopausal women had a 23% greater decrease in total brain volume but not in hippocampal volume over time, compared with premenopausal women.
As Braak and Braak illustrated in Acta Neuropathologica, chronic inflammation has been linked to brain shrinkage “consistent with the pattern of results in the present study,” Mr. Ambikairajah and colleagues noted, adding that longitudinal neuroimaging/biomarker studies are needed to explore this further.
What made this study unique was its ability to match pre- and postmenopausal women for age, a critically important attribute “given that aging and menopause both progress concurrently, which can make it difficult to determine the individual contribution of each for measures of brain health,” the authors explained.
In an interview, Constance Bohon, MD, an ob.gyn. in private practice and assistant clinical professor, George Washington University, Washington, observed: “The conclusion [in this study] is that an early age of menarche, delayed age of menopause and increased duration of the reproductive stage is negatively associated with brain volume.”
What of the neuroprotective effects of endogenous estrogen?
“Their findings are not consistent with a neuroprotective effect of endogenous estrogen exposure on brain volume,” she noted, adding that the study “did not assess the effect of exogenous estrogen on brain volume. Neither was the effect of exogenous or endogenous estrogen on cerebral blood flow assessed. In a study published in Obstetrics & Gynecology, the conclusion was that oophorectomy before the age of natural menopause is associated with a decrease in cognitive impairment and dementia. There was no assessment of brain volume or cerebral blood flow. Likewise in a report published in Neurobiology of Aging, Maki P and Resnick S M. concluded that estrogen helps maintain hippocampal and prefrontal function as women age,” observed Dr. Bohon, noting that the study did not assess brain volume.
“It is unclear whether the most predictive assessment for worsening cognition and dementia is the finding of decreased total brain volume, decreased hippocampal volume, or decreased cerebral blood flow. The effect of both endogenous and exogenous estrogen on the risk for dementia needs further evaluation,” she cautioned.
Mr. Ambikairajah cited one financial disclosure; the remaining contributors had no relevant disclosures.
Postmenopausal women not only have larger brain volume than women who are premenopausal, but they also experience larger reductions in brain volume over time, reported Ananthan Ambikairajah of the Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, and associates. Their report was published in Menopause.
In this large population-based cohort of 5,072 women aged 37-73 years, the goal of the study was to look at links between brain volume and measures of menstruation history, such as menopausal status, age at menopause, age at menarche, and the duration of a woman’s reproductive stage, but to do so within the context of how it relates to dementia prevalence. Citing a study in The Lancet Neurology, the authors noted that the age-standardized prevalence for dementia is 17% higher in women than in men, and they speculated that it may be important to look beyond age for answers.
What about menstrual history and Alzheimer’s disease?
According to the Framingham Study in Neurology, the remaining lifetime risk of Alzheimer’s disease (AD) is nearly double for a 65-year-old woman (12%) compared with a 65-year-old man (6.3%), leading Mr. Ambikairajah and associates to conclude that “menstruation history may also be particularly relevant, given that it is unique to female aging.” They further speculated, citing several related studies, that because AD pathology is initiated decades prior to the onset of clinical signs, menstruation history and its effects on brain health may, in fact, be reflected in brain volume.
Postmenopausal women had 0.82% and 1.33% larger total brain and hippocampal volume, respectively, compared with premenopausal women. Postmenopausal women had a 23% greater decrease in total brain volume but not in hippocampal volume over time, compared with premenopausal women.
As Braak and Braak illustrated in Acta Neuropathologica, chronic inflammation has been linked to brain shrinkage “consistent with the pattern of results in the present study,” Mr. Ambikairajah and colleagues noted, adding that longitudinal neuroimaging/biomarker studies are needed to explore this further.
What made this study unique was its ability to match pre- and postmenopausal women for age, a critically important attribute “given that aging and menopause both progress concurrently, which can make it difficult to determine the individual contribution of each for measures of brain health,” the authors explained.
In an interview, Constance Bohon, MD, an ob.gyn. in private practice and assistant clinical professor, George Washington University, Washington, observed: “The conclusion [in this study] is that an early age of menarche, delayed age of menopause and increased duration of the reproductive stage is negatively associated with brain volume.”
What of the neuroprotective effects of endogenous estrogen?
“Their findings are not consistent with a neuroprotective effect of endogenous estrogen exposure on brain volume,” she noted, adding that the study “did not assess the effect of exogenous estrogen on brain volume. Neither was the effect of exogenous or endogenous estrogen on cerebral blood flow assessed. In a study published in Obstetrics & Gynecology, the conclusion was that oophorectomy before the age of natural menopause is associated with a decrease in cognitive impairment and dementia. There was no assessment of brain volume or cerebral blood flow. Likewise in a report published in Neurobiology of Aging, Maki P and Resnick S M. concluded that estrogen helps maintain hippocampal and prefrontal function as women age,” observed Dr. Bohon, noting that the study did not assess brain volume.
“It is unclear whether the most predictive assessment for worsening cognition and dementia is the finding of decreased total brain volume, decreased hippocampal volume, or decreased cerebral blood flow. The effect of both endogenous and exogenous estrogen on the risk for dementia needs further evaluation,” she cautioned.
Mr. Ambikairajah cited one financial disclosure; the remaining contributors had no relevant disclosures.
Postmenopausal women not only have larger brain volume than women who are premenopausal, but they also experience larger reductions in brain volume over time, reported Ananthan Ambikairajah of the Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, and associates. Their report was published in Menopause.
In this large population-based cohort of 5,072 women aged 37-73 years, the goal of the study was to look at links between brain volume and measures of menstruation history, such as menopausal status, age at menopause, age at menarche, and the duration of a woman’s reproductive stage, but to do so within the context of how it relates to dementia prevalence. Citing a study in The Lancet Neurology, the authors noted that the age-standardized prevalence for dementia is 17% higher in women than in men, and they speculated that it may be important to look beyond age for answers.
What about menstrual history and Alzheimer’s disease?
According to the Framingham Study in Neurology, the remaining lifetime risk of Alzheimer’s disease (AD) is nearly double for a 65-year-old woman (12%) compared with a 65-year-old man (6.3%), leading Mr. Ambikairajah and associates to conclude that “menstruation history may also be particularly relevant, given that it is unique to female aging.” They further speculated, citing several related studies, that because AD pathology is initiated decades prior to the onset of clinical signs, menstruation history and its effects on brain health may, in fact, be reflected in brain volume.
Postmenopausal women had 0.82% and 1.33% larger total brain and hippocampal volume, respectively, compared with premenopausal women. Postmenopausal women had a 23% greater decrease in total brain volume but not in hippocampal volume over time, compared with premenopausal women.
As Braak and Braak illustrated in Acta Neuropathologica, chronic inflammation has been linked to brain shrinkage “consistent with the pattern of results in the present study,” Mr. Ambikairajah and colleagues noted, adding that longitudinal neuroimaging/biomarker studies are needed to explore this further.
What made this study unique was its ability to match pre- and postmenopausal women for age, a critically important attribute “given that aging and menopause both progress concurrently, which can make it difficult to determine the individual contribution of each for measures of brain health,” the authors explained.
In an interview, Constance Bohon, MD, an ob.gyn. in private practice and assistant clinical professor, George Washington University, Washington, observed: “The conclusion [in this study] is that an early age of menarche, delayed age of menopause and increased duration of the reproductive stage is negatively associated with brain volume.”
What of the neuroprotective effects of endogenous estrogen?
“Their findings are not consistent with a neuroprotective effect of endogenous estrogen exposure on brain volume,” she noted, adding that the study “did not assess the effect of exogenous estrogen on brain volume. Neither was the effect of exogenous or endogenous estrogen on cerebral blood flow assessed. In a study published in Obstetrics & Gynecology, the conclusion was that oophorectomy before the age of natural menopause is associated with a decrease in cognitive impairment and dementia. There was no assessment of brain volume or cerebral blood flow. Likewise in a report published in Neurobiology of Aging, Maki P and Resnick S M. concluded that estrogen helps maintain hippocampal and prefrontal function as women age,” observed Dr. Bohon, noting that the study did not assess brain volume.
“It is unclear whether the most predictive assessment for worsening cognition and dementia is the finding of decreased total brain volume, decreased hippocampal volume, or decreased cerebral blood flow. The effect of both endogenous and exogenous estrogen on the risk for dementia needs further evaluation,” she cautioned.
Mr. Ambikairajah cited one financial disclosure; the remaining contributors had no relevant disclosures.
FROM MENOPAUSE
Lung disease raises mortality risk in older RA patients
Patients with rheumatoid arthritis–associated interstitial lung disease showed increases in overall mortality, respiratory mortality, and cancer mortality, compared with RA patients without interstitial lung disease, based on data from more than 500,000 patients in a nationwide cohort study.
RA-associated interstitial lung disease (RA-ILD) has been associated with worse survival rates as well as reduced quality of life, functional impairment, and increased health care use and costs, wrote Jeffrey A. Sparks, MD, of Brigham and Women’s Hospital, Boston, and colleagues. However, data on the incidence and prevalence of RA-ILD have been inconsistent and large studies are lacking.
In a study published online in Rheumatology, the researchers identified 509,787 RA patients aged 65 years and older from Medicare claims data. The average age of the patients was 72.6 years, and 76.2% were women.
At baseline, 10,306 (2%) of the study population had RA-ILD, and 13,372 (2.7%) developed RA-ILD over an average of 3.8 years’ follow-up per person (total of 1,873,127 person-years of follow-up). The overall incidence of RA-ILD was 7.14 per 1,000 person-years.
Overall mortality was significantly higher among RA-ILD patients than in those with RA alone in a multivariate analysis (38.7% vs. 20.7%; hazard ratio, 1.66).
In addition, RA-ILD was associated with an increased risk of respiratory mortality (HR, 4.39) and cancer mortality (HR, 1.56), compared with RA without ILD. For these hazard regression analyses, the researchers used Fine and Gray subdistribution HRs “to handle competing risks of alternative causes of mortality. For example, the risk of respiratory mortality for patients with RA-ILD, compared with RA without ILD also accounted for the competing risk of cardiovascular, cancer, infection and other types of mortality.”
In another multivariate analysis, male gender, smoking, asthma, chronic obstructive pulmonary disorder, and medication use (specifically biologic disease-modifying antirheumatic drugs, targeted synthetic DMARDs, and glucocorticoids) were independently associated with increased incident RA-ILD at baseline. However, “the associations of RA-related medications with incident RA-ILD risk should be interpreted with caution since they may be explained by unmeasured factors, including RA disease activity, severity, comorbidities, and prior or concomitant medication use,” the researchers noted.
The study findings were limited by several factors, including the lack of data on disease activity, disease duration, disease severity, and RA-related autoantibodies, the researchers noted. However, the results support data from previous studies and were strengthened by the large sample size and data on demographics and health care use.
“Ours is the first to study the epidemiology and mortality outcomes of RA-ILD using a validated claims algorithm to identify RA and RA-ILD,” and “to quantify the mortality burden of RA-ILD and to identify a potentially novel association of RA-ILD with cancer mortality,” they noted.
The study was supported by an investigator-initiated grant from Bristol-Myers Squibb. Lead author Dr. Sparks disclosed support from the National Institute of Arthritis and Musculoskeletal and Skin Diseases, the Rheumatology Research Foundation, the Brigham Research Institute, and the R. Bruce and Joan M. Mickey Research Scholar Fund. Dr. Sparks also disclosed serving as a consultant to Bristol-Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum, and Pfizer for work unrelated to the current study. Other authors reported research funding from Bristol-Myers Squibb, involvement in a clinical trial funded by Genentech and Bristol-Myers Squibb, and receiving research support to Brigham and Women’s Hospital for other studies from AbbVie, Bayer, Bristol-Myers Squibb, Novartis, Pfizer, Roche, and Vertex.
Patients with rheumatoid arthritis–associated interstitial lung disease showed increases in overall mortality, respiratory mortality, and cancer mortality, compared with RA patients without interstitial lung disease, based on data from more than 500,000 patients in a nationwide cohort study.
RA-associated interstitial lung disease (RA-ILD) has been associated with worse survival rates as well as reduced quality of life, functional impairment, and increased health care use and costs, wrote Jeffrey A. Sparks, MD, of Brigham and Women’s Hospital, Boston, and colleagues. However, data on the incidence and prevalence of RA-ILD have been inconsistent and large studies are lacking.
In a study published online in Rheumatology, the researchers identified 509,787 RA patients aged 65 years and older from Medicare claims data. The average age of the patients was 72.6 years, and 76.2% were women.
At baseline, 10,306 (2%) of the study population had RA-ILD, and 13,372 (2.7%) developed RA-ILD over an average of 3.8 years’ follow-up per person (total of 1,873,127 person-years of follow-up). The overall incidence of RA-ILD was 7.14 per 1,000 person-years.
Overall mortality was significantly higher among RA-ILD patients than in those with RA alone in a multivariate analysis (38.7% vs. 20.7%; hazard ratio, 1.66).
In addition, RA-ILD was associated with an increased risk of respiratory mortality (HR, 4.39) and cancer mortality (HR, 1.56), compared with RA without ILD. For these hazard regression analyses, the researchers used Fine and Gray subdistribution HRs “to handle competing risks of alternative causes of mortality. For example, the risk of respiratory mortality for patients with RA-ILD, compared with RA without ILD also accounted for the competing risk of cardiovascular, cancer, infection and other types of mortality.”
In another multivariate analysis, male gender, smoking, asthma, chronic obstructive pulmonary disorder, and medication use (specifically biologic disease-modifying antirheumatic drugs, targeted synthetic DMARDs, and glucocorticoids) were independently associated with increased incident RA-ILD at baseline. However, “the associations of RA-related medications with incident RA-ILD risk should be interpreted with caution since they may be explained by unmeasured factors, including RA disease activity, severity, comorbidities, and prior or concomitant medication use,” the researchers noted.
The study findings were limited by several factors, including the lack of data on disease activity, disease duration, disease severity, and RA-related autoantibodies, the researchers noted. However, the results support data from previous studies and were strengthened by the large sample size and data on demographics and health care use.
“Ours is the first to study the epidemiology and mortality outcomes of RA-ILD using a validated claims algorithm to identify RA and RA-ILD,” and “to quantify the mortality burden of RA-ILD and to identify a potentially novel association of RA-ILD with cancer mortality,” they noted.
The study was supported by an investigator-initiated grant from Bristol-Myers Squibb. Lead author Dr. Sparks disclosed support from the National Institute of Arthritis and Musculoskeletal and Skin Diseases, the Rheumatology Research Foundation, the Brigham Research Institute, and the R. Bruce and Joan M. Mickey Research Scholar Fund. Dr. Sparks also disclosed serving as a consultant to Bristol-Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum, and Pfizer for work unrelated to the current study. Other authors reported research funding from Bristol-Myers Squibb, involvement in a clinical trial funded by Genentech and Bristol-Myers Squibb, and receiving research support to Brigham and Women’s Hospital for other studies from AbbVie, Bayer, Bristol-Myers Squibb, Novartis, Pfizer, Roche, and Vertex.
Patients with rheumatoid arthritis–associated interstitial lung disease showed increases in overall mortality, respiratory mortality, and cancer mortality, compared with RA patients without interstitial lung disease, based on data from more than 500,000 patients in a nationwide cohort study.
RA-associated interstitial lung disease (RA-ILD) has been associated with worse survival rates as well as reduced quality of life, functional impairment, and increased health care use and costs, wrote Jeffrey A. Sparks, MD, of Brigham and Women’s Hospital, Boston, and colleagues. However, data on the incidence and prevalence of RA-ILD have been inconsistent and large studies are lacking.
In a study published online in Rheumatology, the researchers identified 509,787 RA patients aged 65 years and older from Medicare claims data. The average age of the patients was 72.6 years, and 76.2% were women.
At baseline, 10,306 (2%) of the study population had RA-ILD, and 13,372 (2.7%) developed RA-ILD over an average of 3.8 years’ follow-up per person (total of 1,873,127 person-years of follow-up). The overall incidence of RA-ILD was 7.14 per 1,000 person-years.
Overall mortality was significantly higher among RA-ILD patients than in those with RA alone in a multivariate analysis (38.7% vs. 20.7%; hazard ratio, 1.66).
In addition, RA-ILD was associated with an increased risk of respiratory mortality (HR, 4.39) and cancer mortality (HR, 1.56), compared with RA without ILD. For these hazard regression analyses, the researchers used Fine and Gray subdistribution HRs “to handle competing risks of alternative causes of mortality. For example, the risk of respiratory mortality for patients with RA-ILD, compared with RA without ILD also accounted for the competing risk of cardiovascular, cancer, infection and other types of mortality.”
In another multivariate analysis, male gender, smoking, asthma, chronic obstructive pulmonary disorder, and medication use (specifically biologic disease-modifying antirheumatic drugs, targeted synthetic DMARDs, and glucocorticoids) were independently associated with increased incident RA-ILD at baseline. However, “the associations of RA-related medications with incident RA-ILD risk should be interpreted with caution since they may be explained by unmeasured factors, including RA disease activity, severity, comorbidities, and prior or concomitant medication use,” the researchers noted.
The study findings were limited by several factors, including the lack of data on disease activity, disease duration, disease severity, and RA-related autoantibodies, the researchers noted. However, the results support data from previous studies and were strengthened by the large sample size and data on demographics and health care use.
“Ours is the first to study the epidemiology and mortality outcomes of RA-ILD using a validated claims algorithm to identify RA and RA-ILD,” and “to quantify the mortality burden of RA-ILD and to identify a potentially novel association of RA-ILD with cancer mortality,” they noted.
The study was supported by an investigator-initiated grant from Bristol-Myers Squibb. Lead author Dr. Sparks disclosed support from the National Institute of Arthritis and Musculoskeletal and Skin Diseases, the Rheumatology Research Foundation, the Brigham Research Institute, and the R. Bruce and Joan M. Mickey Research Scholar Fund. Dr. Sparks also disclosed serving as a consultant to Bristol-Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum, and Pfizer for work unrelated to the current study. Other authors reported research funding from Bristol-Myers Squibb, involvement in a clinical trial funded by Genentech and Bristol-Myers Squibb, and receiving research support to Brigham and Women’s Hospital for other studies from AbbVie, Bayer, Bristol-Myers Squibb, Novartis, Pfizer, Roche, and Vertex.
FROM RHEUMATOLOGY
A Preoperative Transthoracic Echocardiography Protocol to Reduce Time to Hip Fracture Surgery
From Dignity Health Methodist Hospital of Sacramento Family Medicine Residency Program, Sacramento, CA (Dr. Oldach); Nationwide Children’s Hospital, Columbus, OH (Dr. Irwin); OhioHealth Research Institute, Columbus, OH (Dr. Pershing); Department of Clinical Transformation, OhioHealth, Columbus, OH (Dr. Zigmont and Dr. Gascon); and Department of Geriatrics, OhioHealth, Columbus, OH (Dr. Skully).
Abstract
Objective: An interdisciplinary committee was formed to identify factors contributing to surgical delays in urgent hip fracture repair at an urban, level 1 trauma center, with the goal of reducing preoperative time to less than 24 hours. Surgical optimization was identified as a primary, modifiable factor, as surgeons were reluctant to clear patients for surgery without cardiac consultation. Preoperative transthoracic echocardiogram (TTE) was recommended as a safe alternative to cardiac consultation in most patients.
Methods: A retrospective review was conducted for patients who underwent urgent hip fracture repair between January 2010 and April 2014 (n = 316). Time to medical optimization, time to surgery, hospital length of stay, and anesthesia induction were compared for 3 patient groups of interest: those who received (1) neither TTE nor cardiology consultation (ie, direct to surgery); (2) a preoperative TTE; or (3) preoperative cardiac consultation.
Results: There were significant between-group differences in medical optimization time (P = 0.001) and mean time to surgery (P < 0.001) when comparing the 3 groups of interest. Patients in the preoperative cardiac consult group had the longest times, followed by the TTE and direct-to-surgery groups. There were no differences in the type of induction agent used across treatment groups when stratifying by ejection fraction.
Conclusion: Preoperative TTE allows for decreased preoperative time compared to a cardiology consultation. It provides an easily implemented inter-departmental, intra-institutional intervention to decrease preoperative time in patients presenting with hip fractures.
Keywords: surgical delay; preoperative risk stratification; process improvement.
Hip fractures are common, expensive, and associated with poor outcomes.1,2 Ample literature suggests that morbidity, mortality, and cost of care may be reduced by minimizing surgical delays.3-5 While individual reports indicate mixed evidence, in a 2010 meta-analysis, surgery within 72 hours was associated with significant reductions in pneumonia and pressure sores, as well as a 19% reduction in all-cause mortality through 1 year.6 Additional reviews suggest evidence of improved patient outcomes (pain, length of stay, non-union, and/or mortality) when surgery occurs early, within 12 to 72 hours after injury.4,6,7 Regardless of the definition of “early surgery” used, surgical delay remains a challenge, often due to organizational factors, including admission day of the week and hospital staffing, and patient characteristics, such as comorbidities, echocardiographic findings, age, and insurance status.7-9
Among factors that contribute to surgical delays, the need for preoperative cardiovascular risk stratification is significantly modifiable.10 The American College of Cardiology (ACC)/American Heart Association (AHA) Task Force risk stratification framework for preoperative cardiac testing assists clinicians in determining surgical urgency, active cardiac conditions, cardiovascular risk factors, and functional capacity of each patient, and is well established for low- or intermediate-risk patients.11 Specifically, metabolic equivalents (METs) measurements are used to identify medically stable patients with good or excellent functional capacity versus poor or unknown functional status. Patients with ≥ 4 METs may proceed to surgery without further testing; patients with < 4 METs may either proceed with planned surgery or undergo additional testing. Patients with a perceived increased risk profile who require urgent or semi-urgent hip fracture repair may be confounded by disagreement about required preoperative cardiac testing.
At OhioHealth Grant Medical Center (GMC), an urban, level 1 trauma center, the consideration of further preoperative noninvasive testing frequently contributed to surgical delays. In 2009, hip fracture patients arriving to the emergency department (ED) waited an average of 51 hours before being transferred to the operating room (OR) for surgery. Presuming prompt surgery is both desirable and feasible, the Grant Hip Fracture Management Committee (GHFMC) was developed in order to expedite surgeries in hip fracture patients. The GHFMC recommended a preoperative hip fracture protocol, and the outcomes from protocol implementation are described in this article.
Methods
This study was approved by the OhioHealth Institutional Review Board, with a waiver of the informed consent requirement. Medical records from patients treated at GMC during the time period between January 2010 and April 2014 (ie, following implementation of GHFMC recommendations) were retrospectively reviewed to identify the extent to which the use of preoperative transthoracic echocardiography (TTE) reduced average time to surgery and total length of stay, compared to cardiac consultation. This chart review included 316 participants and was used to identify primary induction agent utilized, time to medical optimization, time to surgery, and total length of hospital stay.
Intervention
The GHFMC conducted a 9-month quality improvement project to decrease ED-to-OR time to less than 24 hours for hip fracture patients. The multidisciplinary committee consisted of physicians from orthopedic surgery, anesthesia, hospital medicine, and geriatrics, along with key administrators and nurse outcomes managers. While there is lack of complete clarity surrounding optimal surgical timing, the committee decided that surgery within 24 hours would be beneficial for the majority of patients and therefore was considered a prudent goal.
Based on identified barriers that contributed to surgical delays, several process improvement strategies were implemented, including admitting patients to the hospitalist service, engaging the orthopedic trauma team, and implementing pre- and postoperative protocols and order sets (eg, ED and pain management order sets). Specific emphasis was placed on establishing guidelines for determining medical optimization. In the absence of established guidelines, medical optimization was determined at the discretion of the attending physician. The necessity of preoperative cardiac assessment was based, in part, on physician concerns about determining safe anesthesia protocols and hemodynamically managing patients who may have occult heart disease, specifically those patients with low functional capacity (< 4 METs) and/or inability to accurately communicate their medical history.
Many hip fractures result from a fall, and it may be unclear whether the fall causing a fracture was purely mechanical or indicative of a distinct acute or chronic illness. As a result, many patients received cardiac consultations, with or without pharmacologic stress testing, adding another 24 to 36 hours to preoperative time. As invasive preoperative cardiac procedures generally result in surgical delays without improving outcomes,11 the committee recommended that clinicians reserve preoperative cardiac consultation for patients with active cardiac conditions.
In lieu of cardiac consultation, the committee suggested preoperative TTE. While use of TTE has not been shown to improve preoperative risk stratification in routine noncardiac surgeries, it has been shown to provide clinically useful information in patients at high risk for cardiac complications.11 There was consensus for incorporating preoperative TTE for several reasons: (1) the patients with hip fractures were not “routine,” and often did not have a reliable medical history; (2) a large percentage of patients had cardiac risk factors; (3) patients with undiagnosed aortic stenosis, severe left ventricular dysfunction, or severe pulmonary hypertension would likely have altered intraoperative fluid management; and (4) in supplanting cardiac consultations, TTE would likely expedite patients’ ED-to-OR times. Therefore, the GHFMC created a recommendation of ordering urgent TTE for patients who were unable to exercise at ≥ 4 METs but needed urgent hip fracture surgery.
In order to evaluate the success of the new protocol, the ED-to-OR times were calculated for a cohort of patients who underwent surgery for hip fracture following algorithm implementation.
Participants
A chart review was conducted for patients admitted to GMC between January 2010 and April 2014 for operative treatment of a hip fracture. Exclusion criteria included lack of radiologist-diagnosed hip fracture, periprosthetic hip fracture, or multiple traumas. Electronic patient charts were reviewed by investigators (KI and BO) using a standardized, electronic abstraction form for 3 groups of patients who (1) proceeded directly to planned surgery without TTE or cardiac consultation (direct-to-surgery group); (2) received preoperative TTE but not a cardiac consultation (TTE-only group); or (3) received preoperative cardiac consultation (cardiac consult group).
Measures
Demographics, comorbid conditions, MET score, anesthesia protocol, and in-hospital morbidity and mortality were extracted from medical charts. Medical optimization time was determined by the latest time stamp of 1 of the following: time that the final consulting specialist stated that the patient was stable for surgery; time that the hospitalist described the patient as being ready for surgery; time that the TTE report was certified by the reading cardiologist; or time that the hospitalist described the outcome of completed preoperative risk stratification. Time elapsed prior to medical optimization, surgery, and discharge were calculated using differences between the patient’s arrival date and time at the ED, first recorded time of medical optimization, surgical start time (from the surgical report), and discharge time, respectively.
To assess whether the TTE protocol may have affected anesthesia selection, the induction agent (etomidate or propofol) was abstracted from anesthesia reports and stratified by the ejection fraction of each patient: very low (≤ 35%), low (36%–50%), or normal (> 50%). Patients without an echocardiogram report were assumed to have a normal ejection fraction for this analysis.
Analysis
Descriptive statistics were produced using mean and standard deviation (SD) for continuous variables and frequency and percentage for categorical variables. To determine whether statistically significant differences existed between the 3 groups, the Kruskal-Wallis test was used to compare skewed continuous variables, and Pearson’s chi-square test was used to compare categorical variables. Due to differences in baseline patient characteristics across the 3 treatment groups, inverse probability weights were used to adjust for group differences (using a multinomial logit treatment model) while comparing differences in outcome variables. This modeling strategy does not rely on any assumptions for the distribution of the outcome variable. Covariates were considered for inclusion in the treatment or outcome model if they were significantly associated (P < 0.05) with the group variable. Additionally, anesthetic agent (etomidate or propofol) was compared across the treatment groups after stratifying by ejection fraction to identify whether any differences existed in anesthesia regimen. Patients who were prescribed more than 1 anesthetic agent (n = 2) or an agent that was not of interest were removed from the analysis (n = 13). Stata (version 14) was used for analysis. All other missing data with respect to the tested variables were omitted in the analysis for that variable. Any disagreements about abstraction were resolved through consensus between the investigators.
Results
A total of 316 cases met inclusion criteria, including 108 direct-to-surgery patients, 143 preoperative TTE patients, and 65 cardiac consult patients. Patient demographics and preoperative characteristics are shown in Table 1. The average age for all patients was 76.5 years of age (SD, 12.89; IQR, 34-97); however, direct-to-surgery patients were significantly (P < 0.001) younger (71.2 years; SD, 14.2; interquartile range [IQR], 34-95 years) than TTE-only patients (79.0 years; SD, 11.5; IQR, 35-97 years) and cardiac consult patients (79.57 years; SD, 10.63; IQR, 49-97 years). The majority of patients were female (69.9%) and experienced a fall prior to admission (94%). Almost three-fourths of patients had 1 or more cardiac risk factors (73.7%), including history of congestive heart failure (CHF; 19%), coronary artery disease (CAD; 26.3%), chronic obstructive pulmonary disease (COPD; 19.3%), or aortic stenosis (AS; 3.5%). Due to between-group differences in these comorbid conditions, confounding factors were adjusted for in subsequent analyses.
As shown in Table 2, before adjustment for confounding factors, there were significant between-group differences in medical optimization time for patients in all 3 groups. After adjustment for treatment differences using age and number of comorbid diseases, and medical optimization time differences using age and COPD, fewer between-group differences were statistically significant. Patients who received a cardiac consult had an 18.44-hour longer medical optimization time compared to patients who went directly to surgery (29.136 vs 10.696 hours; P = 0.001). Optimization remained approximately 5 hours longer for the TTE-only group than for the direct-to-surgery group; however, this difference was not significant (P = 0.075).
When comparing differences in ED-to-OR time for the 3 groups after adjusting the probability of treatment for age and the number of comorbid conditions, and adjusting the probability of ED-to-OR time for age, COPD, and CHF, significant differences remained in ED-to-OR times across all groups. Specifically, patients in the direct-to-surgery group experienced the shortest time (mean, 20.64 hours), compared to patients in the TTE-only group (mean, 26.32; P = 0.04) or patients in the cardiac consult group (mean, 36.08; P < 0.001). TTE-only patients had a longer time of 5.68 hours, compared to the direct-to-surgery group, and patients in the preoperative cardiac consult group were on average 15.44 hours longer than the direct-to-surgery group.
When comparing differences in the length of stay for the 3 groups before statistical adjustments, differences were observed; however, after removing the confounding factors related to treatment (age and CAD) and the outcome (age and the number of comorbid conditions), there were no statistically significant differences in the length of stay for the 3 groups. Average length of stay was 131 hours for direct-to-surgery patients, 142 hours for TTE-only patients, and 141 hours for cardiac consult patients.
The use of different anesthetic agents was compared for patients in the 3 groups. The majority of patients in the study (87.7%) were given propofol, and there were no differences after stratifying by ejection fraction (Table 3).
Discussion
The GHFMC was created to reduce surgical delays for hip fracture. Medical optimization was considered a primary, modifiable factor given that surgeons were reluctant to proceed without a cardiac consult. To address this gap, the committee recommended a preoperative TTE for patients with low or unknown functional status. This threshold provides a quick and easy method for stratifying patients who previously required risk stratification by a cardiologist, which often resulted in surgery delays.
In their recommendations for implementation of hip fracture quality improvement projects, the Geriatric Fracture Center emphasizes the importance of multidisciplinary physician leadership along with standardization of approach across patients.12 This recommendation is supported by increasing evidence that orthogeriatric collaborations are associated with decreased mortality and length of stay.13 The GHFMC and subsequent interventions reflect this approach, allowing for collaboration to identify cross-disciplinary procedural barriers to care. In our institution, addressing identified procedural barriers to care was associated with a reduction in the average time to surgery from 51 hours to 25.3 hours.
Multiple approaches have been attempted to decrease presurgical time in hip fracture patients in various settings. Prehospital interventions, such as providing ambulances with checklists and ability to bypass the ED, have not been shown to decrease time to surgery for hip fracture patients, though similar strategies have been successful in other conditions, such as stroke.14,15 In-hospital procedures, such as implementation of a hip fracture protocol and reduction of preoperative interventions, have more consistently been found to decrease time to surgery and in-hospital mortality.16,17 However, reduced delays have not been found universally. Luttrell and Nana found that preoperative TTE resulted in approximately 30.8-hour delays from the ED to OR, compared to patients who did not receive a preoperative TTE.18 However, in that study hospitalists used TTE at their own discretion, and there may have been confounding factors contributing to delays. When used as part of a protocol targeting patients with poor or unknown functional capacity, we believe that preoperative TTE results in modest surgical delays yet provides clinically useful information about each patient.
ACC/AHA preoperative guidelines were updated after we implemented our intervention and now recommend that patients with poor or unknown functional capacity in whom stress testing will not influence care proceed to surgery “according to guideline-directed medical care.”11 While routine use of preoperative evaluation of left ventricular function is not recommended, assessing left ventricular function may be reasonable for patients with heart failure with a change in clinical status. Guidelines also recommend that patients with clinically suspected valvular stenosis undergo preoperative echocardiography.11
Limitations
This study has several limitations. First, due to resource limitations, a substantial period of time elapsed between implementation of the new protocol and the analysis of the data set. That is, the hip fracture protocol assessed in this paper occurred from January 2010 through April 2014, and final analysis of the data set occurred in April 2020. This limitation precludes our ability to formally assess any pre- or post-protocol changes in patient outcomes. Second, randomization was not used to create groups that were balanced in differing health characteristics (ie, patients with noncardiac-related surgeries, patients in different age groups); however, the use of inverse probability treatment regression analysis was a way to statistically address these between-group differences. Moreover, this study is limited by the factors that were measured; unmeasured factors cannot be accounted for. Third, health care providers working at the hospital during this time were aware of the goal to decrease presurgical time, possibly creating exaggerated effects compared to a blinded trial. Finally, although this intervention is likely translatable to other centers, these results represent the experiences of a single level 1 trauma center and may not be replicable elsewhere.
Conclusion
Preoperative TTE in lieu of cardiac consultation has several advantages. First, it requires interdepartmental collaboration for implementation, but can be implemented through a single hospital or hospital system. Unlike prehospital interventions, preoperative urgent TTE for patients with low functional capacity does not require the support of emergency medical technicians, ambulance services, or other hospitals in the region. Second, while costs are associated with TTE, they are offset by a reduction in expensive consultations with specialists, surgical delays, and longer lengths of stay. Third, despite likely increased ED-to-OR times compared to no intervention, urgent TTE decreases time to surgery compared with cardiology consultation. Prior to the GHFMC, the ED-to-OR time at our institution was 51 hours. In contrast, the mean time following the GHFMC-led protocol was less than half that, at 25.3 hours (SD, 19.1 hours). In fact, nearly two-thirds (65.2%) of the patients evaluated in this study underwent surgery within 24 hours of admission. This improvement in presurgical time was attributed, in part, to the implementation of preoperative TTE over cardiology consultations.
Acknowledgments: The authors thank Jenny Williams, RN, who was instrumental in obtaining the data set for analysis, and Shauna Ayres, MPH, from the OhioHealth Research Institute, who provided writing and technical assistance.
Corresponding author: Robert Skully, MD, OhioHealth Family Medicine Grant, 290 East Town St., Columbus, OH 43215; [email protected].
Funding: This work was supported by the OhioHealth Summer Research Externship Program.
Financial disclosures: None.
1. Brauer CA, Coca-Perraillon M, Cutler DM, Rosen AB. Incidence and mortality of hip fractures in the United States. JAMA. 2009;302:1573-1579.
2. Lewiecki EM, Wright NC, Curtis JR, et al. Hip fracture trends in the United States 2002 to 2015. Osteoporos Int. 2018;29:717-722.
3. Colais P, Di Martino M, Fusco D, et al. The effect of early surgery after hip fracture on 1-year mortality. BMC Geriatr. 2015;15:141.
4. Nyholm AM, Gromov K, Palm H, et al. Time to surgery is associated with thirty-day and ninety-day mortality after proximal femoral fracture: a retrospective observational study on prospectively collected data from the Danish Fracture Database Collaborators. J Bone Joint Surg Am. 2015;97:1333-1339.
5. Judd KT, Christianson E. Expedited operative care of hip fractures results in significantly lower cost of treatment. Iowa Orthop J. 2015;35:62-64.
6. Simunovic N, Devereaux PJ, Sprague S, et al. Effect of early surgery after hip fracture on mortality and complications: systematic review and meta-analysis. CMAJ. 2010;182:1609-1616.
7. Ryan DJ, Yoshihara H, Yoneoka D, et al. Delay in hip fracture surgery: an analysis of patient-specific and hospital-specific risk factors. J Orthop Trauma. 2015;29:343-348.
8. Ricci WM, Brandt A, McAndrew C, Gardner MJ. Factors affecting delay to surgery and length of stay for patients with hip fracture. J Orthop Trauma. 2015;29:e109-e114.
9. Hagino T, Ochiai S, Senga S, et al. Efficacy of early surgery and causes of surgical delay in patients with hip fracture. J Orthop. 2015;12:142-146.
10. Rafiq A, Sklyar E, Bella JN. Cardiac evaluation and monitoring of patients undergoing noncardiac surgery. Health Serv Insights. 2017;9:1178632916686074.
11. Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;64:e77-e137.
12. Basu N, Natour M, Mounasamy V, Kates SL. Geriatric hip fracture management: keys to providing a successful program. Eur J Trauma Emerg Surg. 2016;42:565-569.
13. Grigoryan KV, Javedan H, Rudolph JL. Orthogeriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis. J Orthop Trauma. 2014;28:e49-e55.
14. Tai YJ, Yan B. Minimising time to treatment: targeted strategies to minimise time to thrombolysis for acute ischaemic stroke. Intern Med J. 2013;43:1176-1182.
15. Larsson G, Stromberg RU, Rogmark C, Nilsdotter A. Prehospital fast track care for patients with hip fracture: Impact on time to surgery, hospital stay, post-operative complications and mortality a randomised, controlled trial. Injury. 2016;47:881-886.
16. Bohm E, Loucks L, Wittmeier K, et al. Reduced time to surgery improves mortality and length of stay following hip fracture: results from an intervention study in a Canadian health authority. Can J Surg. 2015;58:257-263.
17. Ventura C, Trombetti S, Pioli G, et al. Impact of multidisciplinary hip fracture program on timing of surgery in elderly patients. Osteoporos Int J. 2014;25:2591-2597.
18. Luttrell K, Nana A. Effect of preoperative transthoracic echocardiogram on mortality and surgical timing in elderly adults with hip fracture. J Am Geriatr Soc. 2015;63:2505-2509.
From Dignity Health Methodist Hospital of Sacramento Family Medicine Residency Program, Sacramento, CA (Dr. Oldach); Nationwide Children’s Hospital, Columbus, OH (Dr. Irwin); OhioHealth Research Institute, Columbus, OH (Dr. Pershing); Department of Clinical Transformation, OhioHealth, Columbus, OH (Dr. Zigmont and Dr. Gascon); and Department of Geriatrics, OhioHealth, Columbus, OH (Dr. Skully).
Abstract
Objective: An interdisciplinary committee was formed to identify factors contributing to surgical delays in urgent hip fracture repair at an urban, level 1 trauma center, with the goal of reducing preoperative time to less than 24 hours. Surgical optimization was identified as a primary, modifiable factor, as surgeons were reluctant to clear patients for surgery without cardiac consultation. Preoperative transthoracic echocardiogram (TTE) was recommended as a safe alternative to cardiac consultation in most patients.
Methods: A retrospective review was conducted for patients who underwent urgent hip fracture repair between January 2010 and April 2014 (n = 316). Time to medical optimization, time to surgery, hospital length of stay, and anesthesia induction were compared for 3 patient groups of interest: those who received (1) neither TTE nor cardiology consultation (ie, direct to surgery); (2) a preoperative TTE; or (3) preoperative cardiac consultation.
Results: There were significant between-group differences in medical optimization time (P = 0.001) and mean time to surgery (P < 0.001) when comparing the 3 groups of interest. Patients in the preoperative cardiac consult group had the longest times, followed by the TTE and direct-to-surgery groups. There were no differences in the type of induction agent used across treatment groups when stratifying by ejection fraction.
Conclusion: Preoperative TTE allows for decreased preoperative time compared to a cardiology consultation. It provides an easily implemented inter-departmental, intra-institutional intervention to decrease preoperative time in patients presenting with hip fractures.
Keywords: surgical delay; preoperative risk stratification; process improvement.
Hip fractures are common, expensive, and associated with poor outcomes.1,2 Ample literature suggests that morbidity, mortality, and cost of care may be reduced by minimizing surgical delays.3-5 While individual reports indicate mixed evidence, in a 2010 meta-analysis, surgery within 72 hours was associated with significant reductions in pneumonia and pressure sores, as well as a 19% reduction in all-cause mortality through 1 year.6 Additional reviews suggest evidence of improved patient outcomes (pain, length of stay, non-union, and/or mortality) when surgery occurs early, within 12 to 72 hours after injury.4,6,7 Regardless of the definition of “early surgery” used, surgical delay remains a challenge, often due to organizational factors, including admission day of the week and hospital staffing, and patient characteristics, such as comorbidities, echocardiographic findings, age, and insurance status.7-9
Among factors that contribute to surgical delays, the need for preoperative cardiovascular risk stratification is significantly modifiable.10 The American College of Cardiology (ACC)/American Heart Association (AHA) Task Force risk stratification framework for preoperative cardiac testing assists clinicians in determining surgical urgency, active cardiac conditions, cardiovascular risk factors, and functional capacity of each patient, and is well established for low- or intermediate-risk patients.11 Specifically, metabolic equivalents (METs) measurements are used to identify medically stable patients with good or excellent functional capacity versus poor or unknown functional status. Patients with ≥ 4 METs may proceed to surgery without further testing; patients with < 4 METs may either proceed with planned surgery or undergo additional testing. Patients with a perceived increased risk profile who require urgent or semi-urgent hip fracture repair may be confounded by disagreement about required preoperative cardiac testing.
At OhioHealth Grant Medical Center (GMC), an urban, level 1 trauma center, the consideration of further preoperative noninvasive testing frequently contributed to surgical delays. In 2009, hip fracture patients arriving to the emergency department (ED) waited an average of 51 hours before being transferred to the operating room (OR) for surgery. Presuming prompt surgery is both desirable and feasible, the Grant Hip Fracture Management Committee (GHFMC) was developed in order to expedite surgeries in hip fracture patients. The GHFMC recommended a preoperative hip fracture protocol, and the outcomes from protocol implementation are described in this article.
Methods
This study was approved by the OhioHealth Institutional Review Board, with a waiver of the informed consent requirement. Medical records from patients treated at GMC during the time period between January 2010 and April 2014 (ie, following implementation of GHFMC recommendations) were retrospectively reviewed to identify the extent to which the use of preoperative transthoracic echocardiography (TTE) reduced average time to surgery and total length of stay, compared to cardiac consultation. This chart review included 316 participants and was used to identify primary induction agent utilized, time to medical optimization, time to surgery, and total length of hospital stay.
Intervention
The GHFMC conducted a 9-month quality improvement project to decrease ED-to-OR time to less than 24 hours for hip fracture patients. The multidisciplinary committee consisted of physicians from orthopedic surgery, anesthesia, hospital medicine, and geriatrics, along with key administrators and nurse outcomes managers. While there is lack of complete clarity surrounding optimal surgical timing, the committee decided that surgery within 24 hours would be beneficial for the majority of patients and therefore was considered a prudent goal.
Based on identified barriers that contributed to surgical delays, several process improvement strategies were implemented, including admitting patients to the hospitalist service, engaging the orthopedic trauma team, and implementing pre- and postoperative protocols and order sets (eg, ED and pain management order sets). Specific emphasis was placed on establishing guidelines for determining medical optimization. In the absence of established guidelines, medical optimization was determined at the discretion of the attending physician. The necessity of preoperative cardiac assessment was based, in part, on physician concerns about determining safe anesthesia protocols and hemodynamically managing patients who may have occult heart disease, specifically those patients with low functional capacity (< 4 METs) and/or inability to accurately communicate their medical history.
Many hip fractures result from a fall, and it may be unclear whether the fall causing a fracture was purely mechanical or indicative of a distinct acute or chronic illness. As a result, many patients received cardiac consultations, with or without pharmacologic stress testing, adding another 24 to 36 hours to preoperative time. As invasive preoperative cardiac procedures generally result in surgical delays without improving outcomes,11 the committee recommended that clinicians reserve preoperative cardiac consultation for patients with active cardiac conditions.
In lieu of cardiac consultation, the committee suggested preoperative TTE. While use of TTE has not been shown to improve preoperative risk stratification in routine noncardiac surgeries, it has been shown to provide clinically useful information in patients at high risk for cardiac complications.11 There was consensus for incorporating preoperative TTE for several reasons: (1) the patients with hip fractures were not “routine,” and often did not have a reliable medical history; (2) a large percentage of patients had cardiac risk factors; (3) patients with undiagnosed aortic stenosis, severe left ventricular dysfunction, or severe pulmonary hypertension would likely have altered intraoperative fluid management; and (4) in supplanting cardiac consultations, TTE would likely expedite patients’ ED-to-OR times. Therefore, the GHFMC created a recommendation of ordering urgent TTE for patients who were unable to exercise at ≥ 4 METs but needed urgent hip fracture surgery.
In order to evaluate the success of the new protocol, the ED-to-OR times were calculated for a cohort of patients who underwent surgery for hip fracture following algorithm implementation.
Participants
A chart review was conducted for patients admitted to GMC between January 2010 and April 2014 for operative treatment of a hip fracture. Exclusion criteria included lack of radiologist-diagnosed hip fracture, periprosthetic hip fracture, or multiple traumas. Electronic patient charts were reviewed by investigators (KI and BO) using a standardized, electronic abstraction form for 3 groups of patients who (1) proceeded directly to planned surgery without TTE or cardiac consultation (direct-to-surgery group); (2) received preoperative TTE but not a cardiac consultation (TTE-only group); or (3) received preoperative cardiac consultation (cardiac consult group).
Measures
Demographics, comorbid conditions, MET score, anesthesia protocol, and in-hospital morbidity and mortality were extracted from medical charts. Medical optimization time was determined by the latest time stamp of 1 of the following: time that the final consulting specialist stated that the patient was stable for surgery; time that the hospitalist described the patient as being ready for surgery; time that the TTE report was certified by the reading cardiologist; or time that the hospitalist described the outcome of completed preoperative risk stratification. Time elapsed prior to medical optimization, surgery, and discharge were calculated using differences between the patient’s arrival date and time at the ED, first recorded time of medical optimization, surgical start time (from the surgical report), and discharge time, respectively.
To assess whether the TTE protocol may have affected anesthesia selection, the induction agent (etomidate or propofol) was abstracted from anesthesia reports and stratified by the ejection fraction of each patient: very low (≤ 35%), low (36%–50%), or normal (> 50%). Patients without an echocardiogram report were assumed to have a normal ejection fraction for this analysis.
Analysis
Descriptive statistics were produced using mean and standard deviation (SD) for continuous variables and frequency and percentage for categorical variables. To determine whether statistically significant differences existed between the 3 groups, the Kruskal-Wallis test was used to compare skewed continuous variables, and Pearson’s chi-square test was used to compare categorical variables. Due to differences in baseline patient characteristics across the 3 treatment groups, inverse probability weights were used to adjust for group differences (using a multinomial logit treatment model) while comparing differences in outcome variables. This modeling strategy does not rely on any assumptions for the distribution of the outcome variable. Covariates were considered for inclusion in the treatment or outcome model if they were significantly associated (P < 0.05) with the group variable. Additionally, anesthetic agent (etomidate or propofol) was compared across the treatment groups after stratifying by ejection fraction to identify whether any differences existed in anesthesia regimen. Patients who were prescribed more than 1 anesthetic agent (n = 2) or an agent that was not of interest were removed from the analysis (n = 13). Stata (version 14) was used for analysis. All other missing data with respect to the tested variables were omitted in the analysis for that variable. Any disagreements about abstraction were resolved through consensus between the investigators.
Results
A total of 316 cases met inclusion criteria, including 108 direct-to-surgery patients, 143 preoperative TTE patients, and 65 cardiac consult patients. Patient demographics and preoperative characteristics are shown in Table 1. The average age for all patients was 76.5 years of age (SD, 12.89; IQR, 34-97); however, direct-to-surgery patients were significantly (P < 0.001) younger (71.2 years; SD, 14.2; interquartile range [IQR], 34-95 years) than TTE-only patients (79.0 years; SD, 11.5; IQR, 35-97 years) and cardiac consult patients (79.57 years; SD, 10.63; IQR, 49-97 years). The majority of patients were female (69.9%) and experienced a fall prior to admission (94%). Almost three-fourths of patients had 1 or more cardiac risk factors (73.7%), including history of congestive heart failure (CHF; 19%), coronary artery disease (CAD; 26.3%), chronic obstructive pulmonary disease (COPD; 19.3%), or aortic stenosis (AS; 3.5%). Due to between-group differences in these comorbid conditions, confounding factors were adjusted for in subsequent analyses.
As shown in Table 2, before adjustment for confounding factors, there were significant between-group differences in medical optimization time for patients in all 3 groups. After adjustment for treatment differences using age and number of comorbid diseases, and medical optimization time differences using age and COPD, fewer between-group differences were statistically significant. Patients who received a cardiac consult had an 18.44-hour longer medical optimization time compared to patients who went directly to surgery (29.136 vs 10.696 hours; P = 0.001). Optimization remained approximately 5 hours longer for the TTE-only group than for the direct-to-surgery group; however, this difference was not significant (P = 0.075).
When comparing differences in ED-to-OR time for the 3 groups after adjusting the probability of treatment for age and the number of comorbid conditions, and adjusting the probability of ED-to-OR time for age, COPD, and CHF, significant differences remained in ED-to-OR times across all groups. Specifically, patients in the direct-to-surgery group experienced the shortest time (mean, 20.64 hours), compared to patients in the TTE-only group (mean, 26.32; P = 0.04) or patients in the cardiac consult group (mean, 36.08; P < 0.001). TTE-only patients had a longer time of 5.68 hours, compared to the direct-to-surgery group, and patients in the preoperative cardiac consult group were on average 15.44 hours longer than the direct-to-surgery group.
When comparing differences in the length of stay for the 3 groups before statistical adjustments, differences were observed; however, after removing the confounding factors related to treatment (age and CAD) and the outcome (age and the number of comorbid conditions), there were no statistically significant differences in the length of stay for the 3 groups. Average length of stay was 131 hours for direct-to-surgery patients, 142 hours for TTE-only patients, and 141 hours for cardiac consult patients.
The use of different anesthetic agents was compared for patients in the 3 groups. The majority of patients in the study (87.7%) were given propofol, and there were no differences after stratifying by ejection fraction (Table 3).
Discussion
The GHFMC was created to reduce surgical delays for hip fracture. Medical optimization was considered a primary, modifiable factor given that surgeons were reluctant to proceed without a cardiac consult. To address this gap, the committee recommended a preoperative TTE for patients with low or unknown functional status. This threshold provides a quick and easy method for stratifying patients who previously required risk stratification by a cardiologist, which often resulted in surgery delays.
In their recommendations for implementation of hip fracture quality improvement projects, the Geriatric Fracture Center emphasizes the importance of multidisciplinary physician leadership along with standardization of approach across patients.12 This recommendation is supported by increasing evidence that orthogeriatric collaborations are associated with decreased mortality and length of stay.13 The GHFMC and subsequent interventions reflect this approach, allowing for collaboration to identify cross-disciplinary procedural barriers to care. In our institution, addressing identified procedural barriers to care was associated with a reduction in the average time to surgery from 51 hours to 25.3 hours.
Multiple approaches have been attempted to decrease presurgical time in hip fracture patients in various settings. Prehospital interventions, such as providing ambulances with checklists and ability to bypass the ED, have not been shown to decrease time to surgery for hip fracture patients, though similar strategies have been successful in other conditions, such as stroke.14,15 In-hospital procedures, such as implementation of a hip fracture protocol and reduction of preoperative interventions, have more consistently been found to decrease time to surgery and in-hospital mortality.16,17 However, reduced delays have not been found universally. Luttrell and Nana found that preoperative TTE resulted in approximately 30.8-hour delays from the ED to OR, compared to patients who did not receive a preoperative TTE.18 However, in that study hospitalists used TTE at their own discretion, and there may have been confounding factors contributing to delays. When used as part of a protocol targeting patients with poor or unknown functional capacity, we believe that preoperative TTE results in modest surgical delays yet provides clinically useful information about each patient.
ACC/AHA preoperative guidelines were updated after we implemented our intervention and now recommend that patients with poor or unknown functional capacity in whom stress testing will not influence care proceed to surgery “according to guideline-directed medical care.”11 While routine use of preoperative evaluation of left ventricular function is not recommended, assessing left ventricular function may be reasonable for patients with heart failure with a change in clinical status. Guidelines also recommend that patients with clinically suspected valvular stenosis undergo preoperative echocardiography.11
Limitations
This study has several limitations. First, due to resource limitations, a substantial period of time elapsed between implementation of the new protocol and the analysis of the data set. That is, the hip fracture protocol assessed in this paper occurred from January 2010 through April 2014, and final analysis of the data set occurred in April 2020. This limitation precludes our ability to formally assess any pre- or post-protocol changes in patient outcomes. Second, randomization was not used to create groups that were balanced in differing health characteristics (ie, patients with noncardiac-related surgeries, patients in different age groups); however, the use of inverse probability treatment regression analysis was a way to statistically address these between-group differences. Moreover, this study is limited by the factors that were measured; unmeasured factors cannot be accounted for. Third, health care providers working at the hospital during this time were aware of the goal to decrease presurgical time, possibly creating exaggerated effects compared to a blinded trial. Finally, although this intervention is likely translatable to other centers, these results represent the experiences of a single level 1 trauma center and may not be replicable elsewhere.
Conclusion
Preoperative TTE in lieu of cardiac consultation has several advantages. First, it requires interdepartmental collaboration for implementation, but can be implemented through a single hospital or hospital system. Unlike prehospital interventions, preoperative urgent TTE for patients with low functional capacity does not require the support of emergency medical technicians, ambulance services, or other hospitals in the region. Second, while costs are associated with TTE, they are offset by a reduction in expensive consultations with specialists, surgical delays, and longer lengths of stay. Third, despite likely increased ED-to-OR times compared to no intervention, urgent TTE decreases time to surgery compared with cardiology consultation. Prior to the GHFMC, the ED-to-OR time at our institution was 51 hours. In contrast, the mean time following the GHFMC-led protocol was less than half that, at 25.3 hours (SD, 19.1 hours). In fact, nearly two-thirds (65.2%) of the patients evaluated in this study underwent surgery within 24 hours of admission. This improvement in presurgical time was attributed, in part, to the implementation of preoperative TTE over cardiology consultations.
Acknowledgments: The authors thank Jenny Williams, RN, who was instrumental in obtaining the data set for analysis, and Shauna Ayres, MPH, from the OhioHealth Research Institute, who provided writing and technical assistance.
Corresponding author: Robert Skully, MD, OhioHealth Family Medicine Grant, 290 East Town St., Columbus, OH 43215; [email protected].
Funding: This work was supported by the OhioHealth Summer Research Externship Program.
Financial disclosures: None.
From Dignity Health Methodist Hospital of Sacramento Family Medicine Residency Program, Sacramento, CA (Dr. Oldach); Nationwide Children’s Hospital, Columbus, OH (Dr. Irwin); OhioHealth Research Institute, Columbus, OH (Dr. Pershing); Department of Clinical Transformation, OhioHealth, Columbus, OH (Dr. Zigmont and Dr. Gascon); and Department of Geriatrics, OhioHealth, Columbus, OH (Dr. Skully).
Abstract
Objective: An interdisciplinary committee was formed to identify factors contributing to surgical delays in urgent hip fracture repair at an urban, level 1 trauma center, with the goal of reducing preoperative time to less than 24 hours. Surgical optimization was identified as a primary, modifiable factor, as surgeons were reluctant to clear patients for surgery without cardiac consultation. Preoperative transthoracic echocardiogram (TTE) was recommended as a safe alternative to cardiac consultation in most patients.
Methods: A retrospective review was conducted for patients who underwent urgent hip fracture repair between January 2010 and April 2014 (n = 316). Time to medical optimization, time to surgery, hospital length of stay, and anesthesia induction were compared for 3 patient groups of interest: those who received (1) neither TTE nor cardiology consultation (ie, direct to surgery); (2) a preoperative TTE; or (3) preoperative cardiac consultation.
Results: There were significant between-group differences in medical optimization time (P = 0.001) and mean time to surgery (P < 0.001) when comparing the 3 groups of interest. Patients in the preoperative cardiac consult group had the longest times, followed by the TTE and direct-to-surgery groups. There were no differences in the type of induction agent used across treatment groups when stratifying by ejection fraction.
Conclusion: Preoperative TTE allows for decreased preoperative time compared to a cardiology consultation. It provides an easily implemented inter-departmental, intra-institutional intervention to decrease preoperative time in patients presenting with hip fractures.
Keywords: surgical delay; preoperative risk stratification; process improvement.
Hip fractures are common, expensive, and associated with poor outcomes.1,2 Ample literature suggests that morbidity, mortality, and cost of care may be reduced by minimizing surgical delays.3-5 While individual reports indicate mixed evidence, in a 2010 meta-analysis, surgery within 72 hours was associated with significant reductions in pneumonia and pressure sores, as well as a 19% reduction in all-cause mortality through 1 year.6 Additional reviews suggest evidence of improved patient outcomes (pain, length of stay, non-union, and/or mortality) when surgery occurs early, within 12 to 72 hours after injury.4,6,7 Regardless of the definition of “early surgery” used, surgical delay remains a challenge, often due to organizational factors, including admission day of the week and hospital staffing, and patient characteristics, such as comorbidities, echocardiographic findings, age, and insurance status.7-9
Among factors that contribute to surgical delays, the need for preoperative cardiovascular risk stratification is significantly modifiable.10 The American College of Cardiology (ACC)/American Heart Association (AHA) Task Force risk stratification framework for preoperative cardiac testing assists clinicians in determining surgical urgency, active cardiac conditions, cardiovascular risk factors, and functional capacity of each patient, and is well established for low- or intermediate-risk patients.11 Specifically, metabolic equivalents (METs) measurements are used to identify medically stable patients with good or excellent functional capacity versus poor or unknown functional status. Patients with ≥ 4 METs may proceed to surgery without further testing; patients with < 4 METs may either proceed with planned surgery or undergo additional testing. Patients with a perceived increased risk profile who require urgent or semi-urgent hip fracture repair may be confounded by disagreement about required preoperative cardiac testing.
At OhioHealth Grant Medical Center (GMC), an urban, level 1 trauma center, the consideration of further preoperative noninvasive testing frequently contributed to surgical delays. In 2009, hip fracture patients arriving to the emergency department (ED) waited an average of 51 hours before being transferred to the operating room (OR) for surgery. Presuming prompt surgery is both desirable and feasible, the Grant Hip Fracture Management Committee (GHFMC) was developed in order to expedite surgeries in hip fracture patients. The GHFMC recommended a preoperative hip fracture protocol, and the outcomes from protocol implementation are described in this article.
Methods
This study was approved by the OhioHealth Institutional Review Board, with a waiver of the informed consent requirement. Medical records from patients treated at GMC during the time period between January 2010 and April 2014 (ie, following implementation of GHFMC recommendations) were retrospectively reviewed to identify the extent to which the use of preoperative transthoracic echocardiography (TTE) reduced average time to surgery and total length of stay, compared to cardiac consultation. This chart review included 316 participants and was used to identify primary induction agent utilized, time to medical optimization, time to surgery, and total length of hospital stay.
Intervention
The GHFMC conducted a 9-month quality improvement project to decrease ED-to-OR time to less than 24 hours for hip fracture patients. The multidisciplinary committee consisted of physicians from orthopedic surgery, anesthesia, hospital medicine, and geriatrics, along with key administrators and nurse outcomes managers. While there is lack of complete clarity surrounding optimal surgical timing, the committee decided that surgery within 24 hours would be beneficial for the majority of patients and therefore was considered a prudent goal.
Based on identified barriers that contributed to surgical delays, several process improvement strategies were implemented, including admitting patients to the hospitalist service, engaging the orthopedic trauma team, and implementing pre- and postoperative protocols and order sets (eg, ED and pain management order sets). Specific emphasis was placed on establishing guidelines for determining medical optimization. In the absence of established guidelines, medical optimization was determined at the discretion of the attending physician. The necessity of preoperative cardiac assessment was based, in part, on physician concerns about determining safe anesthesia protocols and hemodynamically managing patients who may have occult heart disease, specifically those patients with low functional capacity (< 4 METs) and/or inability to accurately communicate their medical history.
Many hip fractures result from a fall, and it may be unclear whether the fall causing a fracture was purely mechanical or indicative of a distinct acute or chronic illness. As a result, many patients received cardiac consultations, with or without pharmacologic stress testing, adding another 24 to 36 hours to preoperative time. As invasive preoperative cardiac procedures generally result in surgical delays without improving outcomes,11 the committee recommended that clinicians reserve preoperative cardiac consultation for patients with active cardiac conditions.
In lieu of cardiac consultation, the committee suggested preoperative TTE. While use of TTE has not been shown to improve preoperative risk stratification in routine noncardiac surgeries, it has been shown to provide clinically useful information in patients at high risk for cardiac complications.11 There was consensus for incorporating preoperative TTE for several reasons: (1) the patients with hip fractures were not “routine,” and often did not have a reliable medical history; (2) a large percentage of patients had cardiac risk factors; (3) patients with undiagnosed aortic stenosis, severe left ventricular dysfunction, or severe pulmonary hypertension would likely have altered intraoperative fluid management; and (4) in supplanting cardiac consultations, TTE would likely expedite patients’ ED-to-OR times. Therefore, the GHFMC created a recommendation of ordering urgent TTE for patients who were unable to exercise at ≥ 4 METs but needed urgent hip fracture surgery.
In order to evaluate the success of the new protocol, the ED-to-OR times were calculated for a cohort of patients who underwent surgery for hip fracture following algorithm implementation.
Participants
A chart review was conducted for patients admitted to GMC between January 2010 and April 2014 for operative treatment of a hip fracture. Exclusion criteria included lack of radiologist-diagnosed hip fracture, periprosthetic hip fracture, or multiple traumas. Electronic patient charts were reviewed by investigators (KI and BO) using a standardized, electronic abstraction form for 3 groups of patients who (1) proceeded directly to planned surgery without TTE or cardiac consultation (direct-to-surgery group); (2) received preoperative TTE but not a cardiac consultation (TTE-only group); or (3) received preoperative cardiac consultation (cardiac consult group).
Measures
Demographics, comorbid conditions, MET score, anesthesia protocol, and in-hospital morbidity and mortality were extracted from medical charts. Medical optimization time was determined by the latest time stamp of 1 of the following: time that the final consulting specialist stated that the patient was stable for surgery; time that the hospitalist described the patient as being ready for surgery; time that the TTE report was certified by the reading cardiologist; or time that the hospitalist described the outcome of completed preoperative risk stratification. Time elapsed prior to medical optimization, surgery, and discharge were calculated using differences between the patient’s arrival date and time at the ED, first recorded time of medical optimization, surgical start time (from the surgical report), and discharge time, respectively.
To assess whether the TTE protocol may have affected anesthesia selection, the induction agent (etomidate or propofol) was abstracted from anesthesia reports and stratified by the ejection fraction of each patient: very low (≤ 35%), low (36%–50%), or normal (> 50%). Patients without an echocardiogram report were assumed to have a normal ejection fraction for this analysis.
Analysis
Descriptive statistics were produced using mean and standard deviation (SD) for continuous variables and frequency and percentage for categorical variables. To determine whether statistically significant differences existed between the 3 groups, the Kruskal-Wallis test was used to compare skewed continuous variables, and Pearson’s chi-square test was used to compare categorical variables. Due to differences in baseline patient characteristics across the 3 treatment groups, inverse probability weights were used to adjust for group differences (using a multinomial logit treatment model) while comparing differences in outcome variables. This modeling strategy does not rely on any assumptions for the distribution of the outcome variable. Covariates were considered for inclusion in the treatment or outcome model if they were significantly associated (P < 0.05) with the group variable. Additionally, anesthetic agent (etomidate or propofol) was compared across the treatment groups after stratifying by ejection fraction to identify whether any differences existed in anesthesia regimen. Patients who were prescribed more than 1 anesthetic agent (n = 2) or an agent that was not of interest were removed from the analysis (n = 13). Stata (version 14) was used for analysis. All other missing data with respect to the tested variables were omitted in the analysis for that variable. Any disagreements about abstraction were resolved through consensus between the investigators.
Results
A total of 316 cases met inclusion criteria, including 108 direct-to-surgery patients, 143 preoperative TTE patients, and 65 cardiac consult patients. Patient demographics and preoperative characteristics are shown in Table 1. The average age for all patients was 76.5 years of age (SD, 12.89; IQR, 34-97); however, direct-to-surgery patients were significantly (P < 0.001) younger (71.2 years; SD, 14.2; interquartile range [IQR], 34-95 years) than TTE-only patients (79.0 years; SD, 11.5; IQR, 35-97 years) and cardiac consult patients (79.57 years; SD, 10.63; IQR, 49-97 years). The majority of patients were female (69.9%) and experienced a fall prior to admission (94%). Almost three-fourths of patients had 1 or more cardiac risk factors (73.7%), including history of congestive heart failure (CHF; 19%), coronary artery disease (CAD; 26.3%), chronic obstructive pulmonary disease (COPD; 19.3%), or aortic stenosis (AS; 3.5%). Due to between-group differences in these comorbid conditions, confounding factors were adjusted for in subsequent analyses.
As shown in Table 2, before adjustment for confounding factors, there were significant between-group differences in medical optimization time for patients in all 3 groups. After adjustment for treatment differences using age and number of comorbid diseases, and medical optimization time differences using age and COPD, fewer between-group differences were statistically significant. Patients who received a cardiac consult had an 18.44-hour longer medical optimization time compared to patients who went directly to surgery (29.136 vs 10.696 hours; P = 0.001). Optimization remained approximately 5 hours longer for the TTE-only group than for the direct-to-surgery group; however, this difference was not significant (P = 0.075).
When comparing differences in ED-to-OR time for the 3 groups after adjusting the probability of treatment for age and the number of comorbid conditions, and adjusting the probability of ED-to-OR time for age, COPD, and CHF, significant differences remained in ED-to-OR times across all groups. Specifically, patients in the direct-to-surgery group experienced the shortest time (mean, 20.64 hours), compared to patients in the TTE-only group (mean, 26.32; P = 0.04) or patients in the cardiac consult group (mean, 36.08; P < 0.001). TTE-only patients had a longer time of 5.68 hours, compared to the direct-to-surgery group, and patients in the preoperative cardiac consult group were on average 15.44 hours longer than the direct-to-surgery group.
When comparing differences in the length of stay for the 3 groups before statistical adjustments, differences were observed; however, after removing the confounding factors related to treatment (age and CAD) and the outcome (age and the number of comorbid conditions), there were no statistically significant differences in the length of stay for the 3 groups. Average length of stay was 131 hours for direct-to-surgery patients, 142 hours for TTE-only patients, and 141 hours for cardiac consult patients.
The use of different anesthetic agents was compared for patients in the 3 groups. The majority of patients in the study (87.7%) were given propofol, and there were no differences after stratifying by ejection fraction (Table 3).
Discussion
The GHFMC was created to reduce surgical delays for hip fracture. Medical optimization was considered a primary, modifiable factor given that surgeons were reluctant to proceed without a cardiac consult. To address this gap, the committee recommended a preoperative TTE for patients with low or unknown functional status. This threshold provides a quick and easy method for stratifying patients who previously required risk stratification by a cardiologist, which often resulted in surgery delays.
In their recommendations for implementation of hip fracture quality improvement projects, the Geriatric Fracture Center emphasizes the importance of multidisciplinary physician leadership along with standardization of approach across patients.12 This recommendation is supported by increasing evidence that orthogeriatric collaborations are associated with decreased mortality and length of stay.13 The GHFMC and subsequent interventions reflect this approach, allowing for collaboration to identify cross-disciplinary procedural barriers to care. In our institution, addressing identified procedural barriers to care was associated with a reduction in the average time to surgery from 51 hours to 25.3 hours.
Multiple approaches have been attempted to decrease presurgical time in hip fracture patients in various settings. Prehospital interventions, such as providing ambulances with checklists and ability to bypass the ED, have not been shown to decrease time to surgery for hip fracture patients, though similar strategies have been successful in other conditions, such as stroke.14,15 In-hospital procedures, such as implementation of a hip fracture protocol and reduction of preoperative interventions, have more consistently been found to decrease time to surgery and in-hospital mortality.16,17 However, reduced delays have not been found universally. Luttrell and Nana found that preoperative TTE resulted in approximately 30.8-hour delays from the ED to OR, compared to patients who did not receive a preoperative TTE.18 However, in that study hospitalists used TTE at their own discretion, and there may have been confounding factors contributing to delays. When used as part of a protocol targeting patients with poor or unknown functional capacity, we believe that preoperative TTE results in modest surgical delays yet provides clinically useful information about each patient.
ACC/AHA preoperative guidelines were updated after we implemented our intervention and now recommend that patients with poor or unknown functional capacity in whom stress testing will not influence care proceed to surgery “according to guideline-directed medical care.”11 While routine use of preoperative evaluation of left ventricular function is not recommended, assessing left ventricular function may be reasonable for patients with heart failure with a change in clinical status. Guidelines also recommend that patients with clinically suspected valvular stenosis undergo preoperative echocardiography.11
Limitations
This study has several limitations. First, due to resource limitations, a substantial period of time elapsed between implementation of the new protocol and the analysis of the data set. That is, the hip fracture protocol assessed in this paper occurred from January 2010 through April 2014, and final analysis of the data set occurred in April 2020. This limitation precludes our ability to formally assess any pre- or post-protocol changes in patient outcomes. Second, randomization was not used to create groups that were balanced in differing health characteristics (ie, patients with noncardiac-related surgeries, patients in different age groups); however, the use of inverse probability treatment regression analysis was a way to statistically address these between-group differences. Moreover, this study is limited by the factors that were measured; unmeasured factors cannot be accounted for. Third, health care providers working at the hospital during this time were aware of the goal to decrease presurgical time, possibly creating exaggerated effects compared to a blinded trial. Finally, although this intervention is likely translatable to other centers, these results represent the experiences of a single level 1 trauma center and may not be replicable elsewhere.
Conclusion
Preoperative TTE in lieu of cardiac consultation has several advantages. First, it requires interdepartmental collaboration for implementation, but can be implemented through a single hospital or hospital system. Unlike prehospital interventions, preoperative urgent TTE for patients with low functional capacity does not require the support of emergency medical technicians, ambulance services, or other hospitals in the region. Second, while costs are associated with TTE, they are offset by a reduction in expensive consultations with specialists, surgical delays, and longer lengths of stay. Third, despite likely increased ED-to-OR times compared to no intervention, urgent TTE decreases time to surgery compared with cardiology consultation. Prior to the GHFMC, the ED-to-OR time at our institution was 51 hours. In contrast, the mean time following the GHFMC-led protocol was less than half that, at 25.3 hours (SD, 19.1 hours). In fact, nearly two-thirds (65.2%) of the patients evaluated in this study underwent surgery within 24 hours of admission. This improvement in presurgical time was attributed, in part, to the implementation of preoperative TTE over cardiology consultations.
Acknowledgments: The authors thank Jenny Williams, RN, who was instrumental in obtaining the data set for analysis, and Shauna Ayres, MPH, from the OhioHealth Research Institute, who provided writing and technical assistance.
Corresponding author: Robert Skully, MD, OhioHealth Family Medicine Grant, 290 East Town St., Columbus, OH 43215; [email protected].
Funding: This work was supported by the OhioHealth Summer Research Externship Program.
Financial disclosures: None.
1. Brauer CA, Coca-Perraillon M, Cutler DM, Rosen AB. Incidence and mortality of hip fractures in the United States. JAMA. 2009;302:1573-1579.
2. Lewiecki EM, Wright NC, Curtis JR, et al. Hip fracture trends in the United States 2002 to 2015. Osteoporos Int. 2018;29:717-722.
3. Colais P, Di Martino M, Fusco D, et al. The effect of early surgery after hip fracture on 1-year mortality. BMC Geriatr. 2015;15:141.
4. Nyholm AM, Gromov K, Palm H, et al. Time to surgery is associated with thirty-day and ninety-day mortality after proximal femoral fracture: a retrospective observational study on prospectively collected data from the Danish Fracture Database Collaborators. J Bone Joint Surg Am. 2015;97:1333-1339.
5. Judd KT, Christianson E. Expedited operative care of hip fractures results in significantly lower cost of treatment. Iowa Orthop J. 2015;35:62-64.
6. Simunovic N, Devereaux PJ, Sprague S, et al. Effect of early surgery after hip fracture on mortality and complications: systematic review and meta-analysis. CMAJ. 2010;182:1609-1616.
7. Ryan DJ, Yoshihara H, Yoneoka D, et al. Delay in hip fracture surgery: an analysis of patient-specific and hospital-specific risk factors. J Orthop Trauma. 2015;29:343-348.
8. Ricci WM, Brandt A, McAndrew C, Gardner MJ. Factors affecting delay to surgery and length of stay for patients with hip fracture. J Orthop Trauma. 2015;29:e109-e114.
9. Hagino T, Ochiai S, Senga S, et al. Efficacy of early surgery and causes of surgical delay in patients with hip fracture. J Orthop. 2015;12:142-146.
10. Rafiq A, Sklyar E, Bella JN. Cardiac evaluation and monitoring of patients undergoing noncardiac surgery. Health Serv Insights. 2017;9:1178632916686074.
11. Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;64:e77-e137.
12. Basu N, Natour M, Mounasamy V, Kates SL. Geriatric hip fracture management: keys to providing a successful program. Eur J Trauma Emerg Surg. 2016;42:565-569.
13. Grigoryan KV, Javedan H, Rudolph JL. Orthogeriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis. J Orthop Trauma. 2014;28:e49-e55.
14. Tai YJ, Yan B. Minimising time to treatment: targeted strategies to minimise time to thrombolysis for acute ischaemic stroke. Intern Med J. 2013;43:1176-1182.
15. Larsson G, Stromberg RU, Rogmark C, Nilsdotter A. Prehospital fast track care for patients with hip fracture: Impact on time to surgery, hospital stay, post-operative complications and mortality a randomised, controlled trial. Injury. 2016;47:881-886.
16. Bohm E, Loucks L, Wittmeier K, et al. Reduced time to surgery improves mortality and length of stay following hip fracture: results from an intervention study in a Canadian health authority. Can J Surg. 2015;58:257-263.
17. Ventura C, Trombetti S, Pioli G, et al. Impact of multidisciplinary hip fracture program on timing of surgery in elderly patients. Osteoporos Int J. 2014;25:2591-2597.
18. Luttrell K, Nana A. Effect of preoperative transthoracic echocardiogram on mortality and surgical timing in elderly adults with hip fracture. J Am Geriatr Soc. 2015;63:2505-2509.
1. Brauer CA, Coca-Perraillon M, Cutler DM, Rosen AB. Incidence and mortality of hip fractures in the United States. JAMA. 2009;302:1573-1579.
2. Lewiecki EM, Wright NC, Curtis JR, et al. Hip fracture trends in the United States 2002 to 2015. Osteoporos Int. 2018;29:717-722.
3. Colais P, Di Martino M, Fusco D, et al. The effect of early surgery after hip fracture on 1-year mortality. BMC Geriatr. 2015;15:141.
4. Nyholm AM, Gromov K, Palm H, et al. Time to surgery is associated with thirty-day and ninety-day mortality after proximal femoral fracture: a retrospective observational study on prospectively collected data from the Danish Fracture Database Collaborators. J Bone Joint Surg Am. 2015;97:1333-1339.
5. Judd KT, Christianson E. Expedited operative care of hip fractures results in significantly lower cost of treatment. Iowa Orthop J. 2015;35:62-64.
6. Simunovic N, Devereaux PJ, Sprague S, et al. Effect of early surgery after hip fracture on mortality and complications: systematic review and meta-analysis. CMAJ. 2010;182:1609-1616.
7. Ryan DJ, Yoshihara H, Yoneoka D, et al. Delay in hip fracture surgery: an analysis of patient-specific and hospital-specific risk factors. J Orthop Trauma. 2015;29:343-348.
8. Ricci WM, Brandt A, McAndrew C, Gardner MJ. Factors affecting delay to surgery and length of stay for patients with hip fracture. J Orthop Trauma. 2015;29:e109-e114.
9. Hagino T, Ochiai S, Senga S, et al. Efficacy of early surgery and causes of surgical delay in patients with hip fracture. J Orthop. 2015;12:142-146.
10. Rafiq A, Sklyar E, Bella JN. Cardiac evaluation and monitoring of patients undergoing noncardiac surgery. Health Serv Insights. 2017;9:1178632916686074.
11. Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;64:e77-e137.
12. Basu N, Natour M, Mounasamy V, Kates SL. Geriatric hip fracture management: keys to providing a successful program. Eur J Trauma Emerg Surg. 2016;42:565-569.
13. Grigoryan KV, Javedan H, Rudolph JL. Orthogeriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis. J Orthop Trauma. 2014;28:e49-e55.
14. Tai YJ, Yan B. Minimising time to treatment: targeted strategies to minimise time to thrombolysis for acute ischaemic stroke. Intern Med J. 2013;43:1176-1182.
15. Larsson G, Stromberg RU, Rogmark C, Nilsdotter A. Prehospital fast track care for patients with hip fracture: Impact on time to surgery, hospital stay, post-operative complications and mortality a randomised, controlled trial. Injury. 2016;47:881-886.
16. Bohm E, Loucks L, Wittmeier K, et al. Reduced time to surgery improves mortality and length of stay following hip fracture: results from an intervention study in a Canadian health authority. Can J Surg. 2015;58:257-263.
17. Ventura C, Trombetti S, Pioli G, et al. Impact of multidisciplinary hip fracture program on timing of surgery in elderly patients. Osteoporos Int J. 2014;25:2591-2597.
18. Luttrell K, Nana A. Effect of preoperative transthoracic echocardiogram on mortality and surgical timing in elderly adults with hip fracture. J Am Geriatr Soc. 2015;63:2505-2509.
Noninvasive Ventilation Use Among Medicare Beneficiaries at the End of Life
Study Overview
Objective. To examine the trend of noninvasive and invasive mechanical ventilation at the end of life from 2000 to 2017.
Design. Observational population-based cohort study.
Setting and participants. The study was a population-based cohort study to examine the use of noninvasive and invasive mechanical ventilation among decedents. The study included a random 20% sample of Medicare beneficiaries older than 65 years who were hospitalized in the last 30 days of life and died between January 1, 2000, and December 31, 2017, except for the period October 1, 2015, to December 31, 2015, when the transition from International Classification of Diseases, Ninth Revision (ICD-9) to ICD-10 occurred. Beneficiaries with the primary admitting diagnosis of cardiac arrest or with preexisting tracheostomy were excluded because of expected requirements for ventilatory support. The sample included a total of 2,470,735 Medicare beneficiaries; mean age was 82.2 years, and 54.8% were female. Primary admitting diagnosis codes were used to identify 3 subcohorts: congestive heart failure, chronic obstructive pulmonary disease, and cancer; a fourth subcohort of dementia was identified using the primary admitting diagnosis code or the first 9 secondary diagnosis codes.
Main outcome measures. The study used procedure codes to identify the use of noninvasive ventilation, invasive mechanical ventilation, or none among decedents who were hospitalized in the last 30 days of life. Descriptive statistics to characterize variables by year of hospitalization and ventilatory support were calculated, and the rates of noninvasive and invasive mechanical ventilation use were tabulated. Other outcomes of interest include site of death (in-hospital death), hospice enrollment at death, and hospice enrollment in the last 3 days of life as measures of end-of- life care use. Multivariable logistic regressions were used to examine noninvasive and invasive mechanical ventilation use among decedents, and time trends were examined, with the pattern of use in year 2000 as reference. Subgroup analysis with the subcohort of patients with different diagnoses were conducted to examine trends.
Main results. From 2000 to 2017, 16.3% of decedents had invasive mechanical ventilation, 3.7% had noninvasive ventilation, and 1.0% had both noninvasive and invasive ventilation during their hospital stay. Compared to the reference year 2000, there was a 9-fold increase in noninvasive ventilation use, from 0.8% to 7.1% in 2017, and invasive mechanical ventilation use also increased slightly, from 15.0% to 18.5%. Compared to year 2000, decedents were 2.63 times and 1.04 times (adjusted odds ratio [OR]) more likely to receive noninvasive ventilation and invasive mechanical ventilation, respectively, in 2005, 7.87 times and 1.39 times more likely in 2011, and 11.84 times and 1.63 times more likely in 2017.
Subgroup analysis showed that for congestive heart failure and chronic obstructive pulmonary disease, the increase in noninvasive ventilation use mirrored the trend observed for the overall population, but the use of invasive mechanical ventilation did not increase from 2000 to 2017, with a rate of use of 11.1% versus 7.8% (adjusted OR, 1.07; 95% confidence interval [CI], 0.95-1.19) for congestive heart failure and 17.4% vs 13.2% (OR 1.03, 95% CI, 0.88-1.21) for chronic obstructive pulmonary disease. For the cancer and dementia subgroups, the increase in noninvasive ventilation use from 2000 to 2017 was accompanied by an increase in the use of invasive mechanical ventilation, with a rate of 6.2% versus 7.4% (OR, 1.40; 95% CI, 1.26-1.55) for decedents with cancer and a rate of 5.7% versus 6.2% (OR, 1.28; 95% CI, 1.17-1.41) for decedents with dementia. For other measures of end-of-life care, noninvasive ventilation use when compared to invasive mechanical ventilation use was associated with lower rates of in-hospital (acute care) deaths (50.3% vs 76.7%), hospice enrollment in the last 3 days of life (late hospice enrollment; 57.7% vs 63.0%), and higher rates of hospice enrollment at death (41.3% vs 20.0%).
Conclusion. There was an increase in the use of noninvasive ventilation from 2000 through 2017 among Medicare beneficiaries who died. The findings also suggest that the use of invasive mechanical ventilation did not increase among decedents with congestive heart failure and chronic obstructive pulmonary disease but increased among decedents with cancer and dementia.
Commentary
Noninvasive ventilation offers an alternative to invasive mechanical ventilation for providing ventilatory support for respiratory failure, and may offer benefits as it could avert adverse effects associated with invasive mechanical ventilation, particularly in the management of respiratory failure due to congestive heart failure and chronic obstructive pulmonary disease.1 There is evidence for potential benefits of use of noninvasive ventilation in other clinical scenarios, such as pneumonia in older adults with comorbidities, though its clinical utility is not as well established for other diseases.2
As noninvasive ventilation is introduced into clinical practice, it is not surprising that over the period of the study (2000 to 2017) that its use increased substantially. Advance directives that involve discussion of life-sustaining treatments, including in scenarios with respiratory failure, may also result in physician orders that specify whether an individual desires invasive mechanical ventilation versus other medical treatments, including noninvasive ventilation.3,4 By examining the temporal trends of use of noninvasive and invasive ventilation, this study reveals that invasive mechanical ventilation use among decedents with dementia and cancer has increased, despite increases in the use of noninvasive ventilation. It is important to understand further what would explain these temporal trends and whether the use of noninvasive and also invasive mechanical ventilation at the end of life represents appropriate care with clear goals or whether it may represent overuse. It is also less clear in the end-of-life care scenario what the goals of treatment with noninvasive ventilation would be, especially if it does not avert the use of invasive mechanical ventilation.
The study includes decedents only, thus limiting the ability to draw conclusions about clinically appropriate care.5 Further studies should examine a cohort of patients who have serious and life-threatening illness to examine the trends and potential effects of noninvasive ventilation on outcomes and utilization, as individuals who have improved and survived would not be included in this present decedent cohort.
Applications for Clinical Practice
This study highlights changes in the use of noninvasive and invasive ventilation over time and the different trends seen among subgroups with different diagnoses. For older adults with serious comorbid illness such as dementia, it is especially important to have discussions on advance directives so that care at the end of life is concordant with the patient’s wishes and that unnecessary, burdensome care can be averted. Further studies to understand and define the appropriate use of noninvasive and invasive mechanical ventilation for older adults with significant comorbidities who have serious, life-threatening illness are needed to ensure appropriate clinical treatment at the end of life.
–William W. Hung, MD, MPH
1. Lindenauer PK, Stefan MS, Shieh M et al. Outcomes associated with invasive and noninvasive ventilation a mong patients hospitalized with exacerbations of chronic obstructive pulmonary disease. JAMA Intern Med. 2014;174:1982-993.
2. Johnson CS, Frei CR, Metersky ML, et al. Non-invasive mechanical ventilation and mortality in elderly immunocompromised patients hospitalized with pneumonia: a retrospective cohort study. BMC Pulm Med. 2014;14:7. Published 2014 Jan 27. doi:10.1186/1471-2466-14-7
3. Lee R, Brumbeck L, Sathitratanacheewin S, et al. Association of physician orders for life-sustaining treatment with icu admission among patients hospitalized near the end of life. JAMA. 2020;323:950-60.
4. Bomba P, Kemp M, Black J. POLST: An improvement over traditional advance directives. Cleveland Clinic J Med. 2012;79:457-464.
5. Duncan I, Ahmed T, Dove H, Maxwell TL. Medicare cost at end of life. Am J Hosp Palliat Care. 2019;36:705-710.
Study Overview
Objective. To examine the trend of noninvasive and invasive mechanical ventilation at the end of life from 2000 to 2017.
Design. Observational population-based cohort study.
Setting and participants. The study was a population-based cohort study to examine the use of noninvasive and invasive mechanical ventilation among decedents. The study included a random 20% sample of Medicare beneficiaries older than 65 years who were hospitalized in the last 30 days of life and died between January 1, 2000, and December 31, 2017, except for the period October 1, 2015, to December 31, 2015, when the transition from International Classification of Diseases, Ninth Revision (ICD-9) to ICD-10 occurred. Beneficiaries with the primary admitting diagnosis of cardiac arrest or with preexisting tracheostomy were excluded because of expected requirements for ventilatory support. The sample included a total of 2,470,735 Medicare beneficiaries; mean age was 82.2 years, and 54.8% were female. Primary admitting diagnosis codes were used to identify 3 subcohorts: congestive heart failure, chronic obstructive pulmonary disease, and cancer; a fourth subcohort of dementia was identified using the primary admitting diagnosis code or the first 9 secondary diagnosis codes.
Main outcome measures. The study used procedure codes to identify the use of noninvasive ventilation, invasive mechanical ventilation, or none among decedents who were hospitalized in the last 30 days of life. Descriptive statistics to characterize variables by year of hospitalization and ventilatory support were calculated, and the rates of noninvasive and invasive mechanical ventilation use were tabulated. Other outcomes of interest include site of death (in-hospital death), hospice enrollment at death, and hospice enrollment in the last 3 days of life as measures of end-of- life care use. Multivariable logistic regressions were used to examine noninvasive and invasive mechanical ventilation use among decedents, and time trends were examined, with the pattern of use in year 2000 as reference. Subgroup analysis with the subcohort of patients with different diagnoses were conducted to examine trends.
Main results. From 2000 to 2017, 16.3% of decedents had invasive mechanical ventilation, 3.7% had noninvasive ventilation, and 1.0% had both noninvasive and invasive ventilation during their hospital stay. Compared to the reference year 2000, there was a 9-fold increase in noninvasive ventilation use, from 0.8% to 7.1% in 2017, and invasive mechanical ventilation use also increased slightly, from 15.0% to 18.5%. Compared to year 2000, decedents were 2.63 times and 1.04 times (adjusted odds ratio [OR]) more likely to receive noninvasive ventilation and invasive mechanical ventilation, respectively, in 2005, 7.87 times and 1.39 times more likely in 2011, and 11.84 times and 1.63 times more likely in 2017.
Subgroup analysis showed that for congestive heart failure and chronic obstructive pulmonary disease, the increase in noninvasive ventilation use mirrored the trend observed for the overall population, but the use of invasive mechanical ventilation did not increase from 2000 to 2017, with a rate of use of 11.1% versus 7.8% (adjusted OR, 1.07; 95% confidence interval [CI], 0.95-1.19) for congestive heart failure and 17.4% vs 13.2% (OR 1.03, 95% CI, 0.88-1.21) for chronic obstructive pulmonary disease. For the cancer and dementia subgroups, the increase in noninvasive ventilation use from 2000 to 2017 was accompanied by an increase in the use of invasive mechanical ventilation, with a rate of 6.2% versus 7.4% (OR, 1.40; 95% CI, 1.26-1.55) for decedents with cancer and a rate of 5.7% versus 6.2% (OR, 1.28; 95% CI, 1.17-1.41) for decedents with dementia. For other measures of end-of-life care, noninvasive ventilation use when compared to invasive mechanical ventilation use was associated with lower rates of in-hospital (acute care) deaths (50.3% vs 76.7%), hospice enrollment in the last 3 days of life (late hospice enrollment; 57.7% vs 63.0%), and higher rates of hospice enrollment at death (41.3% vs 20.0%).
Conclusion. There was an increase in the use of noninvasive ventilation from 2000 through 2017 among Medicare beneficiaries who died. The findings also suggest that the use of invasive mechanical ventilation did not increase among decedents with congestive heart failure and chronic obstructive pulmonary disease but increased among decedents with cancer and dementia.
Commentary
Noninvasive ventilation offers an alternative to invasive mechanical ventilation for providing ventilatory support for respiratory failure, and may offer benefits as it could avert adverse effects associated with invasive mechanical ventilation, particularly in the management of respiratory failure due to congestive heart failure and chronic obstructive pulmonary disease.1 There is evidence for potential benefits of use of noninvasive ventilation in other clinical scenarios, such as pneumonia in older adults with comorbidities, though its clinical utility is not as well established for other diseases.2
As noninvasive ventilation is introduced into clinical practice, it is not surprising that over the period of the study (2000 to 2017) that its use increased substantially. Advance directives that involve discussion of life-sustaining treatments, including in scenarios with respiratory failure, may also result in physician orders that specify whether an individual desires invasive mechanical ventilation versus other medical treatments, including noninvasive ventilation.3,4 By examining the temporal trends of use of noninvasive and invasive ventilation, this study reveals that invasive mechanical ventilation use among decedents with dementia and cancer has increased, despite increases in the use of noninvasive ventilation. It is important to understand further what would explain these temporal trends and whether the use of noninvasive and also invasive mechanical ventilation at the end of life represents appropriate care with clear goals or whether it may represent overuse. It is also less clear in the end-of-life care scenario what the goals of treatment with noninvasive ventilation would be, especially if it does not avert the use of invasive mechanical ventilation.
The study includes decedents only, thus limiting the ability to draw conclusions about clinically appropriate care.5 Further studies should examine a cohort of patients who have serious and life-threatening illness to examine the trends and potential effects of noninvasive ventilation on outcomes and utilization, as individuals who have improved and survived would not be included in this present decedent cohort.
Applications for Clinical Practice
This study highlights changes in the use of noninvasive and invasive ventilation over time and the different trends seen among subgroups with different diagnoses. For older adults with serious comorbid illness such as dementia, it is especially important to have discussions on advance directives so that care at the end of life is concordant with the patient’s wishes and that unnecessary, burdensome care can be averted. Further studies to understand and define the appropriate use of noninvasive and invasive mechanical ventilation for older adults with significant comorbidities who have serious, life-threatening illness are needed to ensure appropriate clinical treatment at the end of life.
–William W. Hung, MD, MPH
Study Overview
Objective. To examine the trend of noninvasive and invasive mechanical ventilation at the end of life from 2000 to 2017.
Design. Observational population-based cohort study.
Setting and participants. The study was a population-based cohort study to examine the use of noninvasive and invasive mechanical ventilation among decedents. The study included a random 20% sample of Medicare beneficiaries older than 65 years who were hospitalized in the last 30 days of life and died between January 1, 2000, and December 31, 2017, except for the period October 1, 2015, to December 31, 2015, when the transition from International Classification of Diseases, Ninth Revision (ICD-9) to ICD-10 occurred. Beneficiaries with the primary admitting diagnosis of cardiac arrest or with preexisting tracheostomy were excluded because of expected requirements for ventilatory support. The sample included a total of 2,470,735 Medicare beneficiaries; mean age was 82.2 years, and 54.8% were female. Primary admitting diagnosis codes were used to identify 3 subcohorts: congestive heart failure, chronic obstructive pulmonary disease, and cancer; a fourth subcohort of dementia was identified using the primary admitting diagnosis code or the first 9 secondary diagnosis codes.
Main outcome measures. The study used procedure codes to identify the use of noninvasive ventilation, invasive mechanical ventilation, or none among decedents who were hospitalized in the last 30 days of life. Descriptive statistics to characterize variables by year of hospitalization and ventilatory support were calculated, and the rates of noninvasive and invasive mechanical ventilation use were tabulated. Other outcomes of interest include site of death (in-hospital death), hospice enrollment at death, and hospice enrollment in the last 3 days of life as measures of end-of- life care use. Multivariable logistic regressions were used to examine noninvasive and invasive mechanical ventilation use among decedents, and time trends were examined, with the pattern of use in year 2000 as reference. Subgroup analysis with the subcohort of patients with different diagnoses were conducted to examine trends.
Main results. From 2000 to 2017, 16.3% of decedents had invasive mechanical ventilation, 3.7% had noninvasive ventilation, and 1.0% had both noninvasive and invasive ventilation during their hospital stay. Compared to the reference year 2000, there was a 9-fold increase in noninvasive ventilation use, from 0.8% to 7.1% in 2017, and invasive mechanical ventilation use also increased slightly, from 15.0% to 18.5%. Compared to year 2000, decedents were 2.63 times and 1.04 times (adjusted odds ratio [OR]) more likely to receive noninvasive ventilation and invasive mechanical ventilation, respectively, in 2005, 7.87 times and 1.39 times more likely in 2011, and 11.84 times and 1.63 times more likely in 2017.
Subgroup analysis showed that for congestive heart failure and chronic obstructive pulmonary disease, the increase in noninvasive ventilation use mirrored the trend observed for the overall population, but the use of invasive mechanical ventilation did not increase from 2000 to 2017, with a rate of use of 11.1% versus 7.8% (adjusted OR, 1.07; 95% confidence interval [CI], 0.95-1.19) for congestive heart failure and 17.4% vs 13.2% (OR 1.03, 95% CI, 0.88-1.21) for chronic obstructive pulmonary disease. For the cancer and dementia subgroups, the increase in noninvasive ventilation use from 2000 to 2017 was accompanied by an increase in the use of invasive mechanical ventilation, with a rate of 6.2% versus 7.4% (OR, 1.40; 95% CI, 1.26-1.55) for decedents with cancer and a rate of 5.7% versus 6.2% (OR, 1.28; 95% CI, 1.17-1.41) for decedents with dementia. For other measures of end-of-life care, noninvasive ventilation use when compared to invasive mechanical ventilation use was associated with lower rates of in-hospital (acute care) deaths (50.3% vs 76.7%), hospice enrollment in the last 3 days of life (late hospice enrollment; 57.7% vs 63.0%), and higher rates of hospice enrollment at death (41.3% vs 20.0%).
Conclusion. There was an increase in the use of noninvasive ventilation from 2000 through 2017 among Medicare beneficiaries who died. The findings also suggest that the use of invasive mechanical ventilation did not increase among decedents with congestive heart failure and chronic obstructive pulmonary disease but increased among decedents with cancer and dementia.
Commentary
Noninvasive ventilation offers an alternative to invasive mechanical ventilation for providing ventilatory support for respiratory failure, and may offer benefits as it could avert adverse effects associated with invasive mechanical ventilation, particularly in the management of respiratory failure due to congestive heart failure and chronic obstructive pulmonary disease.1 There is evidence for potential benefits of use of noninvasive ventilation in other clinical scenarios, such as pneumonia in older adults with comorbidities, though its clinical utility is not as well established for other diseases.2
As noninvasive ventilation is introduced into clinical practice, it is not surprising that over the period of the study (2000 to 2017) that its use increased substantially. Advance directives that involve discussion of life-sustaining treatments, including in scenarios with respiratory failure, may also result in physician orders that specify whether an individual desires invasive mechanical ventilation versus other medical treatments, including noninvasive ventilation.3,4 By examining the temporal trends of use of noninvasive and invasive ventilation, this study reveals that invasive mechanical ventilation use among decedents with dementia and cancer has increased, despite increases in the use of noninvasive ventilation. It is important to understand further what would explain these temporal trends and whether the use of noninvasive and also invasive mechanical ventilation at the end of life represents appropriate care with clear goals or whether it may represent overuse. It is also less clear in the end-of-life care scenario what the goals of treatment with noninvasive ventilation would be, especially if it does not avert the use of invasive mechanical ventilation.
The study includes decedents only, thus limiting the ability to draw conclusions about clinically appropriate care.5 Further studies should examine a cohort of patients who have serious and life-threatening illness to examine the trends and potential effects of noninvasive ventilation on outcomes and utilization, as individuals who have improved and survived would not be included in this present decedent cohort.
Applications for Clinical Practice
This study highlights changes in the use of noninvasive and invasive ventilation over time and the different trends seen among subgroups with different diagnoses. For older adults with serious comorbid illness such as dementia, it is especially important to have discussions on advance directives so that care at the end of life is concordant with the patient’s wishes and that unnecessary, burdensome care can be averted. Further studies to understand and define the appropriate use of noninvasive and invasive mechanical ventilation for older adults with significant comorbidities who have serious, life-threatening illness are needed to ensure appropriate clinical treatment at the end of life.
–William W. Hung, MD, MPH
1. Lindenauer PK, Stefan MS, Shieh M et al. Outcomes associated with invasive and noninvasive ventilation a mong patients hospitalized with exacerbations of chronic obstructive pulmonary disease. JAMA Intern Med. 2014;174:1982-993.
2. Johnson CS, Frei CR, Metersky ML, et al. Non-invasive mechanical ventilation and mortality in elderly immunocompromised patients hospitalized with pneumonia: a retrospective cohort study. BMC Pulm Med. 2014;14:7. Published 2014 Jan 27. doi:10.1186/1471-2466-14-7
3. Lee R, Brumbeck L, Sathitratanacheewin S, et al. Association of physician orders for life-sustaining treatment with icu admission among patients hospitalized near the end of life. JAMA. 2020;323:950-60.
4. Bomba P, Kemp M, Black J. POLST: An improvement over traditional advance directives. Cleveland Clinic J Med. 2012;79:457-464.
5. Duncan I, Ahmed T, Dove H, Maxwell TL. Medicare cost at end of life. Am J Hosp Palliat Care. 2019;36:705-710.
1. Lindenauer PK, Stefan MS, Shieh M et al. Outcomes associated with invasive and noninvasive ventilation a mong patients hospitalized with exacerbations of chronic obstructive pulmonary disease. JAMA Intern Med. 2014;174:1982-993.
2. Johnson CS, Frei CR, Metersky ML, et al. Non-invasive mechanical ventilation and mortality in elderly immunocompromised patients hospitalized with pneumonia: a retrospective cohort study. BMC Pulm Med. 2014;14:7. Published 2014 Jan 27. doi:10.1186/1471-2466-14-7
3. Lee R, Brumbeck L, Sathitratanacheewin S, et al. Association of physician orders for life-sustaining treatment with icu admission among patients hospitalized near the end of life. JAMA. 2020;323:950-60.
4. Bomba P, Kemp M, Black J. POLST: An improvement over traditional advance directives. Cleveland Clinic J Med. 2012;79:457-464.
5. Duncan I, Ahmed T, Dove H, Maxwell TL. Medicare cost at end of life. Am J Hosp Palliat Care. 2019;36:705-710.
PCPs play a small part in low-value care spending
published online Jan. 18 in Annals of Internal Medicine.
according to a brief reportHowever, one expert said there are better ways to curb low-value care than focusing on which specialties are guilty of the practice.
Analyzing a 20% random sample of Medicare Part B claims, Aaron Baum, PhD, with the Icahn School of Medicine at Mount Sinai, New York, and colleagues found that the services primary care physicians performed or ordered made up on average 8.3% of the low-value care their patients received (interquartile range, 3.9%-15.1%; 95th percentile, 35.6%) and their referrals made up 15.4% (IQR, 6.3%-26.4%; 95th percentile, 44.6%).
By specialty, cardiology had the worst record with 27% of all spending on low-value services ($1.8 billion) attributed to that specialty. Yet, of the 25 highest-spending specialties in the report, 12 of them were associated with 1% or less than 1% each of all low-value spending, indicating the waste was widely distributed.
Dr. Baum said in an interview that though there are some PCPs guilty of high spending on low-value services, overall, most primary care physicians’ low-value services add up to only 0.3% of Part B spending. He noted that Part B spending is about one-third of all Medicare spending.
Primary care is often thought to be at the core of care management and spending and PCPs are often seen as the gatekeepers, but this analysis suggests that efforts to make big differences in curtailing low-value spending might be more effective elsewhere.
“There’s only so much spending you can reduce by changing primary care physicians’ services that they directly perform,” Dr. Baum said.
Low-value care is costly, can be harmful
Mark Fendrick, MD, director of the University of Michigan’s Center for Value-Based Insurance Design in Ann Arbor, said in an interview that the report adds confirmation to previous research that has consistently shown low-value care is “extremely common, very costly, and provided by primary care providers and specialists alike.” He noted that it can also be harmful.
“The math is simple,” he said. “If we want to improve coverage and lower patient costs for essential services like visits, diagnostic tests, and drugs, we have to reduce spending on those services that do not make Americans any healthier.”
The study ranked 31 clinical services judged to be low value by physician societies, Medicare and clinical guidelines, and their use among beneficiaries enrolled between 2007 and 2014. Here’s how the top six low-value services compare.
Dr. Fendrick said a weakness of the paper is the years of the data (2007-2014). Some of the criteria around low-value care have changed since then. The age that a prostate-specific antigen test becomes low-value is now 70 years, for instance, instead of 75. He added that some of the figures attributed to non-PCP providers appear out of date.
Dr. Fendrick said, “I understand that there are Medicare patients who end up at a gastroenterologist or surgeon’s office to get colorectal cancer screening, but it would be very hard for me to believe that half of stress tests and over half of colon cancer screening over [age] 85 [years] and half of PSA for people over 75 did not have some type of referring clinicians involved. I certainly don’t think that would be the case in 2020-2021.”
Dr. Baum said those years were the latest years available for the data points needed for this analysis, but he and his colleagues were working to update the data for future publication.
Dr. Fendrick said not much has changed in recent years in terms of waste on low-value care, even with campaigns such as Choosing Wisely dedicated to identifying low-value services or procedures in each specialty.
“I believe there’s not a particular group of clinicians one way or the other who are actually doing any better now than they were 7 years ago,” he said. He would rather focus less on which specialties are associated with the most low-value care and more on the underlying policies that encourage low-value care.
“If you’re going to get paid for doing a stress test and get paid nothing or significantly less if you don’t, the incentives are in the wrong direction,” he said.
Dr. Fendrick said the pandemic era provides an opportunity to eliminate low-value care because use of those services has dropped drastically as resources have been diverted to COVID-19 patients and many services have been delayed or canceled.
He said he has been pushing an approach that providers should be paid more after the pandemic “to do the things we want them to do.”
As an example, he said, instead of paying $886 million on colonoscopies for people over the age of 85, “why don’t we put a policy in place that would make it better for patients by lowering cost sharing and better for providers by paying them more to do the service on the people who need it as opposed to the people who don’t?”
The research was funded by the American Board of Family Medicine Foundation. Dr. Baum and a coauthor reported receiving personal fees from American Board of Family Medicine Foundation during the conduct of the study. Another coauthor reported receiving personal fees from Collective Health, HealthRight 360, PLOS Medicine, and the New England Journal of Medicine, outside the submitted work. Dr. Fendrick disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
published online Jan. 18 in Annals of Internal Medicine.
according to a brief reportHowever, one expert said there are better ways to curb low-value care than focusing on which specialties are guilty of the practice.
Analyzing a 20% random sample of Medicare Part B claims, Aaron Baum, PhD, with the Icahn School of Medicine at Mount Sinai, New York, and colleagues found that the services primary care physicians performed or ordered made up on average 8.3% of the low-value care their patients received (interquartile range, 3.9%-15.1%; 95th percentile, 35.6%) and their referrals made up 15.4% (IQR, 6.3%-26.4%; 95th percentile, 44.6%).
By specialty, cardiology had the worst record with 27% of all spending on low-value services ($1.8 billion) attributed to that specialty. Yet, of the 25 highest-spending specialties in the report, 12 of them were associated with 1% or less than 1% each of all low-value spending, indicating the waste was widely distributed.
Dr. Baum said in an interview that though there are some PCPs guilty of high spending on low-value services, overall, most primary care physicians’ low-value services add up to only 0.3% of Part B spending. He noted that Part B spending is about one-third of all Medicare spending.
Primary care is often thought to be at the core of care management and spending and PCPs are often seen as the gatekeepers, but this analysis suggests that efforts to make big differences in curtailing low-value spending might be more effective elsewhere.
“There’s only so much spending you can reduce by changing primary care physicians’ services that they directly perform,” Dr. Baum said.
Low-value care is costly, can be harmful
Mark Fendrick, MD, director of the University of Michigan’s Center for Value-Based Insurance Design in Ann Arbor, said in an interview that the report adds confirmation to previous research that has consistently shown low-value care is “extremely common, very costly, and provided by primary care providers and specialists alike.” He noted that it can also be harmful.
“The math is simple,” he said. “If we want to improve coverage and lower patient costs for essential services like visits, diagnostic tests, and drugs, we have to reduce spending on those services that do not make Americans any healthier.”
The study ranked 31 clinical services judged to be low value by physician societies, Medicare and clinical guidelines, and their use among beneficiaries enrolled between 2007 and 2014. Here’s how the top six low-value services compare.
Dr. Fendrick said a weakness of the paper is the years of the data (2007-2014). Some of the criteria around low-value care have changed since then. The age that a prostate-specific antigen test becomes low-value is now 70 years, for instance, instead of 75. He added that some of the figures attributed to non-PCP providers appear out of date.
Dr. Fendrick said, “I understand that there are Medicare patients who end up at a gastroenterologist or surgeon’s office to get colorectal cancer screening, but it would be very hard for me to believe that half of stress tests and over half of colon cancer screening over [age] 85 [years] and half of PSA for people over 75 did not have some type of referring clinicians involved. I certainly don’t think that would be the case in 2020-2021.”
Dr. Baum said those years were the latest years available for the data points needed for this analysis, but he and his colleagues were working to update the data for future publication.
Dr. Fendrick said not much has changed in recent years in terms of waste on low-value care, even with campaigns such as Choosing Wisely dedicated to identifying low-value services or procedures in each specialty.
“I believe there’s not a particular group of clinicians one way or the other who are actually doing any better now than they were 7 years ago,” he said. He would rather focus less on which specialties are associated with the most low-value care and more on the underlying policies that encourage low-value care.
“If you’re going to get paid for doing a stress test and get paid nothing or significantly less if you don’t, the incentives are in the wrong direction,” he said.
Dr. Fendrick said the pandemic era provides an opportunity to eliminate low-value care because use of those services has dropped drastically as resources have been diverted to COVID-19 patients and many services have been delayed or canceled.
He said he has been pushing an approach that providers should be paid more after the pandemic “to do the things we want them to do.”
As an example, he said, instead of paying $886 million on colonoscopies for people over the age of 85, “why don’t we put a policy in place that would make it better for patients by lowering cost sharing and better for providers by paying them more to do the service on the people who need it as opposed to the people who don’t?”
The research was funded by the American Board of Family Medicine Foundation. Dr. Baum and a coauthor reported receiving personal fees from American Board of Family Medicine Foundation during the conduct of the study. Another coauthor reported receiving personal fees from Collective Health, HealthRight 360, PLOS Medicine, and the New England Journal of Medicine, outside the submitted work. Dr. Fendrick disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
published online Jan. 18 in Annals of Internal Medicine.
according to a brief reportHowever, one expert said there are better ways to curb low-value care than focusing on which specialties are guilty of the practice.
Analyzing a 20% random sample of Medicare Part B claims, Aaron Baum, PhD, with the Icahn School of Medicine at Mount Sinai, New York, and colleagues found that the services primary care physicians performed or ordered made up on average 8.3% of the low-value care their patients received (interquartile range, 3.9%-15.1%; 95th percentile, 35.6%) and their referrals made up 15.4% (IQR, 6.3%-26.4%; 95th percentile, 44.6%).
By specialty, cardiology had the worst record with 27% of all spending on low-value services ($1.8 billion) attributed to that specialty. Yet, of the 25 highest-spending specialties in the report, 12 of them were associated with 1% or less than 1% each of all low-value spending, indicating the waste was widely distributed.
Dr. Baum said in an interview that though there are some PCPs guilty of high spending on low-value services, overall, most primary care physicians’ low-value services add up to only 0.3% of Part B spending. He noted that Part B spending is about one-third of all Medicare spending.
Primary care is often thought to be at the core of care management and spending and PCPs are often seen as the gatekeepers, but this analysis suggests that efforts to make big differences in curtailing low-value spending might be more effective elsewhere.
“There’s only so much spending you can reduce by changing primary care physicians’ services that they directly perform,” Dr. Baum said.
Low-value care is costly, can be harmful
Mark Fendrick, MD, director of the University of Michigan’s Center for Value-Based Insurance Design in Ann Arbor, said in an interview that the report adds confirmation to previous research that has consistently shown low-value care is “extremely common, very costly, and provided by primary care providers and specialists alike.” He noted that it can also be harmful.
“The math is simple,” he said. “If we want to improve coverage and lower patient costs for essential services like visits, diagnostic tests, and drugs, we have to reduce spending on those services that do not make Americans any healthier.”
The study ranked 31 clinical services judged to be low value by physician societies, Medicare and clinical guidelines, and their use among beneficiaries enrolled between 2007 and 2014. Here’s how the top six low-value services compare.
Dr. Fendrick said a weakness of the paper is the years of the data (2007-2014). Some of the criteria around low-value care have changed since then. The age that a prostate-specific antigen test becomes low-value is now 70 years, for instance, instead of 75. He added that some of the figures attributed to non-PCP providers appear out of date.
Dr. Fendrick said, “I understand that there are Medicare patients who end up at a gastroenterologist or surgeon’s office to get colorectal cancer screening, but it would be very hard for me to believe that half of stress tests and over half of colon cancer screening over [age] 85 [years] and half of PSA for people over 75 did not have some type of referring clinicians involved. I certainly don’t think that would be the case in 2020-2021.”
Dr. Baum said those years were the latest years available for the data points needed for this analysis, but he and his colleagues were working to update the data for future publication.
Dr. Fendrick said not much has changed in recent years in terms of waste on low-value care, even with campaigns such as Choosing Wisely dedicated to identifying low-value services or procedures in each specialty.
“I believe there’s not a particular group of clinicians one way or the other who are actually doing any better now than they were 7 years ago,” he said. He would rather focus less on which specialties are associated with the most low-value care and more on the underlying policies that encourage low-value care.
“If you’re going to get paid for doing a stress test and get paid nothing or significantly less if you don’t, the incentives are in the wrong direction,” he said.
Dr. Fendrick said the pandemic era provides an opportunity to eliminate low-value care because use of those services has dropped drastically as resources have been diverted to COVID-19 patients and many services have been delayed or canceled.
He said he has been pushing an approach that providers should be paid more after the pandemic “to do the things we want them to do.”
As an example, he said, instead of paying $886 million on colonoscopies for people over the age of 85, “why don’t we put a policy in place that would make it better for patients by lowering cost sharing and better for providers by paying them more to do the service on the people who need it as opposed to the people who don’t?”
The research was funded by the American Board of Family Medicine Foundation. Dr. Baum and a coauthor reported receiving personal fees from American Board of Family Medicine Foundation during the conduct of the study. Another coauthor reported receiving personal fees from Collective Health, HealthRight 360, PLOS Medicine, and the New England Journal of Medicine, outside the submitted work. Dr. Fendrick disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.