Geriatrics

A substantial cumulative burden of treatment in the first year is borne by patients newly diagnosed with multiple myeloma (MM), according to a report published online in Clinical Lymphoma, Myeloma and Leukemia.

MM is a disease of aging, with a median age at diagnosis of 69 years, and the burden of treatment and not just possible outcomes should be considered in decision-making discussions with patients, according to researchers Hira S. Mian, MD, of McMaster University, Hamilton, Ont., and colleagues.

They performed a retrospective study of a Medicare-linked database of 3,065 adults newly diagnosed with multiple myeloma (MM) between 2007-2013. The treatment burden among the patients was assessed to determine those factors associated with high treatment burden.
 

Heavy burden

Treatment burden was defined as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year following diagnosis, according to the researchers.

The study found that there was a substantial burden of treatment, including a median of more than 2 months of cumulative interactions with health care, within the first year following diagnosis. This burden was highest during the first 3 months.

Those patients who had multiple comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end-organ damage, especially bone disease (aOR 2.28, P < .001), and those who received autologous stem cell transplant (aOR 2.41, P < .001) were more likely to have a higher treatment burden, they reported.

“Decision-making regarding treatment modalities should not just emphasize traditional parameters such as response rates and progression-free survival but should also include a discussion regarding the workload burden placed on the patient and the care partner, in order to ensure informed and patient-centered decision-making is prioritized. This may be particularly relevant among certain subgroups such as older patients with cancer who may prioritize quality of life over aggressive disease control and overall survival,” the researchers concluded.

The study was funded by the National Cancer Institute at the U.S. National Institutes of Health. The authors reported funding from a variety of pharmaceutical and biotechnology companies.

[email protected]

SOURCE: Mian HS et al. Clin Lymphoma Myeloma Leuk. 2020 Oct 1. doi: 10.1016/j.clml.2020.09.010.

A substantial cumulative burden of treatment in the first year is borne by patients newly diagnosed with multiple myeloma (MM), according to a report published online in Clinical Lymphoma, Myeloma and Leukemia.

MM is a disease of aging, with a median age at diagnosis of 69 years, and the burden of treatment and not just possible outcomes should be considered in decision-making discussions with patients, according to researchers Hira S. Mian, MD, of McMaster University, Hamilton, Ont., and colleagues.

They performed a retrospective study of a Medicare-linked database of 3,065 adults newly diagnosed with multiple myeloma (MM) between 2007-2013. The treatment burden among the patients was assessed to determine those factors associated with high treatment burden.
 

Heavy burden

Treatment burden was defined as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year following diagnosis, according to the researchers.

The study found that there was a substantial burden of treatment, including a median of more than 2 months of cumulative interactions with health care, within the first year following diagnosis. This burden was highest during the first 3 months.

Those patients who had multiple comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end-organ damage, especially bone disease (aOR 2.28, P < .001), and those who received autologous stem cell transplant (aOR 2.41, P < .001) were more likely to have a higher treatment burden, they reported.

“Decision-making regarding treatment modalities should not just emphasize traditional parameters such as response rates and progression-free survival but should also include a discussion regarding the workload burden placed on the patient and the care partner, in order to ensure informed and patient-centered decision-making is prioritized. This may be particularly relevant among certain subgroups such as older patients with cancer who may prioritize quality of life over aggressive disease control and overall survival,” the researchers concluded.

The study was funded by the National Cancer Institute at the U.S. National Institutes of Health. The authors reported funding from a variety of pharmaceutical and biotechnology companies.

[email protected]

SOURCE: Mian HS et al. Clin Lymphoma Myeloma Leuk. 2020 Oct 1. doi: 10.1016/j.clml.2020.09.010.

A substantial cumulative burden of treatment in the first year is borne by patients newly diagnosed with multiple myeloma (MM), according to a report published online in Clinical Lymphoma, Myeloma and Leukemia.

MM is a disease of aging, with a median age at diagnosis of 69 years, and the burden of treatment and not just possible outcomes should be considered in decision-making discussions with patients, according to researchers Hira S. Mian, MD, of McMaster University, Hamilton, Ont., and colleagues.

They performed a retrospective study of a Medicare-linked database of 3,065 adults newly diagnosed with multiple myeloma (MM) between 2007-2013. The treatment burden among the patients was assessed to determine those factors associated with high treatment burden.
 

Heavy burden

Treatment burden was defined as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year following diagnosis, according to the researchers.

The study found that there was a substantial burden of treatment, including a median of more than 2 months of cumulative interactions with health care, within the first year following diagnosis. This burden was highest during the first 3 months.

Those patients who had multiple comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end-organ damage, especially bone disease (aOR 2.28, P < .001), and those who received autologous stem cell transplant (aOR 2.41, P < .001) were more likely to have a higher treatment burden, they reported.

“Decision-making regarding treatment modalities should not just emphasize traditional parameters such as response rates and progression-free survival but should also include a discussion regarding the workload burden placed on the patient and the care partner, in order to ensure informed and patient-centered decision-making is prioritized. This may be particularly relevant among certain subgroups such as older patients with cancer who may prioritize quality of life over aggressive disease control and overall survival,” the researchers concluded.

The study was funded by the National Cancer Institute at the U.S. National Institutes of Health. The authors reported funding from a variety of pharmaceutical and biotechnology companies.

[email protected]

SOURCE: Mian HS et al. Clin Lymphoma Myeloma Leuk. 2020 Oct 1. doi: 10.1016/j.clml.2020.09.010.

I have been in practice for 31 years, so many of my patients are now in their 80s and 90s. Practices age with us, and I have been seeing many of these patients for 25-30 years. I have three rules I try to encourage my elderly patients follow, and I wanted to share them with you.

Absolutely, positively make sure you move!

Our older patients often have many reasons not to move, including pain from arthritis, deconditioning, muscle weakness, fatigue, and depression. “Keeping moving” is probably the most important thing a patient can do for their health.

Holme and Anderssen studied a large cohort of men for cardiovascular risk in 1972 and again in 2000. The surviving men were followed over an additional 12 years.¹ They found that 30 minutes of physical activity 6 days a week was associated with a 40% reduction in mortality. Sedentary men had a reduced life expectancy of about 5 years, compared with men who were moderately to vigorously physically active.

Stewart etal. studied the benefit of physical activity in people with stable coronary disease.² They concluded that, in patients with stable coronary heart disease, more physical activity was associated with lower mortality, and the largest benefit occurred in the sedentary patient groups and the highest cardiac risk groups.

Saint-Maurice et al. studied the effects of total daily step count and step intensity on mortality risk.³ They found that the risk of all-cause mortality decreases as the total number of daily steps increases, but that the speed of those steps did not make a difference. This is very encouraging data for our elderly patients. Moving is the secret, even if it may not be moving at a fast pace!
 

Never, ever get on a ladder!

This one should be part of every geriatric’s assessment and every Medicare wellness exam. I first experienced the horror of what can happen when elderly people climb when a 96-year-old healthy patient of mine fell off his roof and died. I never thought to tell him climbing on the roof was an awful idea.

Akland et al. looked at the epidemiology and outcomes of ladder-related falls that required ICU admission.⁴ Hospital mortality was 26%, and almost all of the mortalities occurred in older males in domestic falls, who died as a result of traumatic brain injury. Fewer than half of the survivors were living independently 1 year after the fall.

Valmuur et al. studied ladder related falls in Australia.⁵ They found that rates of ladder related falls requiring hospitalization rose from about 20/100,000 for men ages 15-29 years to 78/100,000 for men aged over 60 years. Of those who died from fall-related injury, 82% were over the age of 60, with more than 70% dying from head injuries.

Schaffarczyk et al. looked at the impact of nonoccupational falls from ladders in men aged over 50 years.⁶ The mean age of the patients in the study was 64 years (range, 50-85), with 27% suffering severe trauma. There was a striking impact on long-term function occurring in over half the study patients. The authors did interviews with patients in follow-up long after the falls and found that most never thought of themselves at risk for a fall, and after the experience of a bad fall, would never consider going on a ladder again. I think it is important for health care professionals to discuss the dangers of ladder use with our older patients, pointing out the higher risk of falling and the potential for the fall to be a life-changing or life-ending event.
 

Let them eat!

Many patients have a reduced appetite as they age. We work hard with our patients to choose a healthy diet throughout their lives, to help ward off obesity, treat hypertension, prevent or control diabetes, or provide heart health. Many patients just stop being interested in food, reduce intake, and may lose weight and muscle mass. When my patients pass the age of 85, I change my focus to encouraging them to eat for calories, socialization, and joy. I think the marginal benefits of more restrictive diets are small, compared with the benefits of helping your patients enjoy eating again. I ask patients what their very favorite foods are and encourage them to have them.

Pearl

Keep your patients eating and moving, except not onto a ladder!

Dr. Paauw is professor of medicine in the division of general internal medicine at the University of Washington, Seattle, and serves as third-year medical student clerkship director at the University of Washington. He is a member of the editorial advisory board of Internal Medicine News. Dr. Paauw has no conflicts to disclose. Contact him at [email protected].

References

1. Holme I, Anderssen SA. Increases in physical activity is as important as smoking cessation for reduction in total mortality in elderly men: 12 years of follow-up of the Oslo II study. Br J Sports Med. 2015; 49:743-8.

2. Stewart RAH et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017 Oct 3;70(14):1689-1700..

3. Saint-Maurice PF et al. Association of daily step count and step intensity with mortality among U.S. adults. JAMA 2020;323:1151-60.

4. Ackland HM et al. Danger at every rung: Epidemiology and outcomes of ICU-admitted ladder-related trauma. Injury. 2016;47:1109-117.

5. Vallmuur K et al. Falls from ladders in Australia: comparing occupational and nonoccupational injuries across age groups. Aust N Z J Public Health. 2016 Dec;40(6):559-63.

6. Schaffarczyk K et al. Nonoccupational falls from ladders in men 50 years and over: Contributing factors and impact. Injury. 2020 Aug;51(8):1798-1804.

I have been in practice for 31 years, so many of my patients are now in their 80s and 90s. Practices age with us, and I have been seeing many of these patients for 25-30 years. I have three rules I try to encourage my elderly patients follow, and I wanted to share them with you.

Absolutely, positively make sure you move!

Our older patients often have many reasons not to move, including pain from arthritis, deconditioning, muscle weakness, fatigue, and depression. “Keeping moving” is probably the most important thing a patient can do for their health.

Holme and Anderssen studied a large cohort of men for cardiovascular risk in 1972 and again in 2000. The surviving men were followed over an additional 12 years.¹ They found that 30 minutes of physical activity 6 days a week was associated with a 40% reduction in mortality. Sedentary men had a reduced life expectancy of about 5 years, compared with men who were moderately to vigorously physically active.

Stewart etal. studied the benefit of physical activity in people with stable coronary disease.² They concluded that, in patients with stable coronary heart disease, more physical activity was associated with lower mortality, and the largest benefit occurred in the sedentary patient groups and the highest cardiac risk groups.

Saint-Maurice et al. studied the effects of total daily step count and step intensity on mortality risk.³ They found that the risk of all-cause mortality decreases as the total number of daily steps increases, but that the speed of those steps did not make a difference. This is very encouraging data for our elderly patients. Moving is the secret, even if it may not be moving at a fast pace!
 

Never, ever get on a ladder!

This one should be part of every geriatric’s assessment and every Medicare wellness exam. I first experienced the horror of what can happen when elderly people climb when a 96-year-old healthy patient of mine fell off his roof and died. I never thought to tell him climbing on the roof was an awful idea.

Akland et al. looked at the epidemiology and outcomes of ladder-related falls that required ICU admission.⁴ Hospital mortality was 26%, and almost all of the mortalities occurred in older males in domestic falls, who died as a result of traumatic brain injury. Fewer than half of the survivors were living independently 1 year after the fall.

Valmuur et al. studied ladder related falls in Australia.⁵ They found that rates of ladder related falls requiring hospitalization rose from about 20/100,000 for men ages 15-29 years to 78/100,000 for men aged over 60 years. Of those who died from fall-related injury, 82% were over the age of 60, with more than 70% dying from head injuries.

Schaffarczyk et al. looked at the impact of nonoccupational falls from ladders in men aged over 50 years.⁶ The mean age of the patients in the study was 64 years (range, 50-85), with 27% suffering severe trauma. There was a striking impact on long-term function occurring in over half the study patients. The authors did interviews with patients in follow-up long after the falls and found that most never thought of themselves at risk for a fall, and after the experience of a bad fall, would never consider going on a ladder again. I think it is important for health care professionals to discuss the dangers of ladder use with our older patients, pointing out the higher risk of falling and the potential for the fall to be a life-changing or life-ending event.
 

Let them eat!

Many patients have a reduced appetite as they age. We work hard with our patients to choose a healthy diet throughout their lives, to help ward off obesity, treat hypertension, prevent or control diabetes, or provide heart health. Many patients just stop being interested in food, reduce intake, and may lose weight and muscle mass. When my patients pass the age of 85, I change my focus to encouraging them to eat for calories, socialization, and joy. I think the marginal benefits of more restrictive diets are small, compared with the benefits of helping your patients enjoy eating again. I ask patients what their very favorite foods are and encourage them to have them.

Pearl

Keep your patients eating and moving, except not onto a ladder!

Dr. Paauw is professor of medicine in the division of general internal medicine at the University of Washington, Seattle, and serves as third-year medical student clerkship director at the University of Washington. He is a member of the editorial advisory board of Internal Medicine News. Dr. Paauw has no conflicts to disclose. Contact him at [email protected].

References

1. Holme I, Anderssen SA. Increases in physical activity is as important as smoking cessation for reduction in total mortality in elderly men: 12 years of follow-up of the Oslo II study. Br J Sports Med. 2015; 49:743-8.

2. Stewart RAH et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017 Oct 3;70(14):1689-1700..

3. Saint-Maurice PF et al. Association of daily step count and step intensity with mortality among U.S. adults. JAMA 2020;323:1151-60.

4. Ackland HM et al. Danger at every rung: Epidemiology and outcomes of ICU-admitted ladder-related trauma. Injury. 2016;47:1109-117.

5. Vallmuur K et al. Falls from ladders in Australia: comparing occupational and nonoccupational injuries across age groups. Aust N Z J Public Health. 2016 Dec;40(6):559-63.

6. Schaffarczyk K et al. Nonoccupational falls from ladders in men 50 years and over: Contributing factors and impact. Injury. 2020 Aug;51(8):1798-1804.

I have been in practice for 31 years, so many of my patients are now in their 80s and 90s. Practices age with us, and I have been seeing many of these patients for 25-30 years. I have three rules I try to encourage my elderly patients follow, and I wanted to share them with you.

Absolutely, positively make sure you move!

Our older patients often have many reasons not to move, including pain from arthritis, deconditioning, muscle weakness, fatigue, and depression. “Keeping moving” is probably the most important thing a patient can do for their health.

Holme and Anderssen studied a large cohort of men for cardiovascular risk in 1972 and again in 2000. The surviving men were followed over an additional 12 years.¹ They found that 30 minutes of physical activity 6 days a week was associated with a 40% reduction in mortality. Sedentary men had a reduced life expectancy of about 5 years, compared with men who were moderately to vigorously physically active.

Stewart etal. studied the benefit of physical activity in people with stable coronary disease.² They concluded that, in patients with stable coronary heart disease, more physical activity was associated with lower mortality, and the largest benefit occurred in the sedentary patient groups and the highest cardiac risk groups.

Saint-Maurice et al. studied the effects of total daily step count and step intensity on mortality risk.³ They found that the risk of all-cause mortality decreases as the total number of daily steps increases, but that the speed of those steps did not make a difference. This is very encouraging data for our elderly patients. Moving is the secret, even if it may not be moving at a fast pace!
 

Never, ever get on a ladder!

This one should be part of every geriatric’s assessment and every Medicare wellness exam. I first experienced the horror of what can happen when elderly people climb when a 96-year-old healthy patient of mine fell off his roof and died. I never thought to tell him climbing on the roof was an awful idea.

Akland et al. looked at the epidemiology and outcomes of ladder-related falls that required ICU admission.⁴ Hospital mortality was 26%, and almost all of the mortalities occurred in older males in domestic falls, who died as a result of traumatic brain injury. Fewer than half of the survivors were living independently 1 year after the fall.

Valmuur et al. studied ladder related falls in Australia.⁵ They found that rates of ladder related falls requiring hospitalization rose from about 20/100,000 for men ages 15-29 years to 78/100,000 for men aged over 60 years. Of those who died from fall-related injury, 82% were over the age of 60, with more than 70% dying from head injuries.

Schaffarczyk et al. looked at the impact of nonoccupational falls from ladders in men aged over 50 years.⁶ The mean age of the patients in the study was 64 years (range, 50-85), with 27% suffering severe trauma. There was a striking impact on long-term function occurring in over half the study patients. The authors did interviews with patients in follow-up long after the falls and found that most never thought of themselves at risk for a fall, and after the experience of a bad fall, would never consider going on a ladder again. I think it is important for health care professionals to discuss the dangers of ladder use with our older patients, pointing out the higher risk of falling and the potential for the fall to be a life-changing or life-ending event.
 

Let them eat!

Many patients have a reduced appetite as they age. We work hard with our patients to choose a healthy diet throughout their lives, to help ward off obesity, treat hypertension, prevent or control diabetes, or provide heart health. Many patients just stop being interested in food, reduce intake, and may lose weight and muscle mass. When my patients pass the age of 85, I change my focus to encouraging them to eat for calories, socialization, and joy. I think the marginal benefits of more restrictive diets are small, compared with the benefits of helping your patients enjoy eating again. I ask patients what their very favorite foods are and encourage them to have them.

Pearl

Keep your patients eating and moving, except not onto a ladder!

Dr. Paauw is professor of medicine in the division of general internal medicine at the University of Washington, Seattle, and serves as third-year medical student clerkship director at the University of Washington. He is a member of the editorial advisory board of Internal Medicine News. Dr. Paauw has no conflicts to disclose. Contact him at [email protected].

References

1. Holme I, Anderssen SA. Increases in physical activity is as important as smoking cessation for reduction in total mortality in elderly men: 12 years of follow-up of the Oslo II study. Br J Sports Med. 2015; 49:743-8.

2. Stewart RAH et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017 Oct 3;70(14):1689-1700..

3. Saint-Maurice PF et al. Association of daily step count and step intensity with mortality among U.S. adults. JAMA 2020;323:1151-60.

4. Ackland HM et al. Danger at every rung: Epidemiology and outcomes of ICU-admitted ladder-related trauma. Injury. 2016;47:1109-117.

5. Vallmuur K et al. Falls from ladders in Australia: comparing occupational and nonoccupational injuries across age groups. Aust N Z J Public Health. 2016 Dec;40(6):559-63.

6. Schaffarczyk K et al. Nonoccupational falls from ladders in men 50 years and over: Contributing factors and impact. Injury. 2020 Aug;51(8):1798-1804.

Study Overview

Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.

Design. Nonrandomized, quasi-experimental pilot study.

Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.

At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.

Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.

Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).

The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.

Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).

Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.

Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.

Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.

Commentary

Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.^1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.^4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,^8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.

This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.

This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.

Applications for Clinical Practice

mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.

Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.

Design. Nonrandomized, quasi-experimental pilot study.

Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.

At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.

Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.

Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).

The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.

Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).

Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.

Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.

Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.

Commentary

Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.^1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.^4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,^8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.

This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.

This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.

Applications for Clinical Practice

mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.

Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.

Design. Nonrandomized, quasi-experimental pilot study.

Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.

At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.

Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.

Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).

The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.

Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).

Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.

Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.

Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.

Commentary

Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.^1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.^4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,^8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.

This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.

This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.

Applications for Clinical Practice

mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.

Katrina F. Mateo, PhD, MPH

Consuming more milk, cheese, or yogurt might be a simple, low-cost way to boost bone health and prevent some falls and fractures in older people living in long-term care facilities, according to a new randomized study from Australia.

“Supplementation using dairy foods is likely to be an effective, safe, widely available, and low cost means of curtailing the public health burden of fractures,” said Sandra Iuliano, PhD, from the University of Melbourne, who presented the findings during the virtual American Society of Bone and Mineral Research 2020 annual meeting.

The researchers randomized 60 old-age institutions to provide residents with their usual menus or a diet with more milk, cheese, or yogurt for 2 years.

The residents with the altered menus increased their dairy consumption from 2 servings/day to 3.5 servings/day, which was reflected in a greater intake of calcium and protein, along with fewer falls, total fractures, and hip fractures than in the control group.

“This is the first randomized trial to show a benefit of dairy food intake on risk of fractures,” Walter Willett, MD, DrPH, professor of nutrition and epidemiology at the Harvard School of Public Health, Boston, said in an interview.

The results are “not surprising” because supplements of calcium plus vitamin D have reduced the risk of fractures in a similar population of older residents living in special living facilities, said Dr. Willett, coauthor of a recent review article, “Milk and Health,” published in the New England Journal of Medicine.

“It is important for everyone to have adequate intake of calcium and vitamin D,” he said. However, “it isn’t clear whether it is better to ensure this clinically by supplements, overall healthy diet, or extra dairy intake,” he added, noting that consuming the amount of dairy given in this Australian study is not environmentally sustainable.

Clifford Rosen, MD, professor of medicine, Tufts University, Boston, said in an interview that the Australian researchers studied the impact of increased dietary calcium and protein, not the impact of vitamin D via supplements.

“This is progress toward getting interventions to our most needy residents to prevent fractures – probably the most compelling data that we have had in a number of years,” he noted.

The current study shows “it’s not [the] vitamin D,” because the residents had initial low calcium levels but normal vitamin D levels. “For too long we’ve been stuck on the idea that it is [increasing] vitamin D in the elderly that causes a reduction in fractures,” said Dr. Rosen. “The data are not very supportive of it, but people continue to think that’s the most important element.”

On the other hand, the current study raises certain questions. “What we don’t know is, is it the calcium, or is it the protein, or the combination, that had an impact?”

Would upping dairy decrease falls?

Older adults living in institutions have a high risk of falls and fractures, including hip fractures, and “malnutrition is common,” said Dr. Iuliano during her presentation.

Prior studies have reported that such residents have a daily dietary calcium intake of 635 mg (half the recommended 1,300 mg), a protein intake of 0.8 g/kg body weight (less than the recommended 1 g/kg body weight), and a dairy intake of 1.5 servings (about a third of the recommended amount), she said.

The group hypothesized that upping dairy intake of elderly residents living in long-term care institutions would reduce the risk of fractures. They performed a 2-year cluster-randomized trial in 60 facilities in Melbourne and surrounding areas.

Half gave their 3,301 residents menus with a higher dairy content, and the other half gave their 3,894 residents (controls) the usual menus.

The residents in both groups had similar characteristics: they were a mean age of 87 years and 68% were women. A subgroup had blood tests and bone morphology studies at baseline and 1 year.

Researchers verified nutrient intake by analyzing the menus and doing plate waste analysis for a subgroup, and they determined the number of falls and fractures from incident and hospital x-ray reports, respectively.
 

One-third fewer fractures in the higher-dairy group

At the study start, residents in both groups had similar vitamin D levels (72 nmol/L) and bone morphology. They were consuming two servings of dairy food and drink a day, where a serving was 250 mL of milk (including lactose-free milk) or 200 g of yogurt or 40 g of cheese.

Their initial daily calcium intake was 650 mg, which stayed the same in the control group, but increased to >1100 mg in the intervention group.

Their initial daily protein intake was around 59 g, which remained the same in the control group, but increased to about 72 grams (1.1 g/kg body weight) in the intervention group.

At 2 years, the 1.5 servings/day increase in dairy intake in the control versus intervention group was associated with an 11% reduction in falls (62% vs. 57%), a 33% reduction in fractures (5.2% vs. 3.7%), a 46% reduction in hip fractures (2.4% vs. 1.3%), and no difference in mortality (28% in both groups).

The intervention was also associated with a slowing in bone loss and an increase in insulinlike growth factor–1.
 

Four dairy servings a day “is high”

Dr. Willett said that “it is reasonable for seniors to take one or two servings of dairy per day, but four servings per day, as in this study, is probably not necessary.”

Moreover, “dairy production has a major impact on greenhouse gas emissions, and even two servings per day would not be environmentally sustainable if everyone were to consume this amount,” he observed.

“Because the world is facing an existential threat from climate change, general advice to consume high amounts of dairy products would be irresponsible as we can get all essential nutrients from other sources,” he added. “That said, modest amounts of dairy foods, such as one to two servings per day could be reasonable. There is some suggestive evidence that dairy in the form of yogurt may have particular benefits.”

The study was funded by Melbourne University and various dietary councils. Dr. Iuliano reported receiving lecture fees from Abbott. Dr. Rosen and Dr. Willett reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Consuming more milk, cheese, or yogurt might be a simple, low-cost way to boost bone health and prevent some falls and fractures in older people living in long-term care facilities, according to a new randomized study from Australia.

“Supplementation using dairy foods is likely to be an effective, safe, widely available, and low cost means of curtailing the public health burden of fractures,” said Sandra Iuliano, PhD, from the University of Melbourne, who presented the findings during the virtual American Society of Bone and Mineral Research 2020 annual meeting.

The researchers randomized 60 old-age institutions to provide residents with their usual menus or a diet with more milk, cheese, or yogurt for 2 years.

The residents with the altered menus increased their dairy consumption from 2 servings/day to 3.5 servings/day, which was reflected in a greater intake of calcium and protein, along with fewer falls, total fractures, and hip fractures than in the control group.

“This is the first randomized trial to show a benefit of dairy food intake on risk of fractures,” Walter Willett, MD, DrPH, professor of nutrition and epidemiology at the Harvard School of Public Health, Boston, said in an interview.

The results are “not surprising” because supplements of calcium plus vitamin D have reduced the risk of fractures in a similar population of older residents living in special living facilities, said Dr. Willett, coauthor of a recent review article, “Milk and Health,” published in the New England Journal of Medicine.

“It is important for everyone to have adequate intake of calcium and vitamin D,” he said. However, “it isn’t clear whether it is better to ensure this clinically by supplements, overall healthy diet, or extra dairy intake,” he added, noting that consuming the amount of dairy given in this Australian study is not environmentally sustainable.

Clifford Rosen, MD, professor of medicine, Tufts University, Boston, said in an interview that the Australian researchers studied the impact of increased dietary calcium and protein, not the impact of vitamin D via supplements.

“This is progress toward getting interventions to our most needy residents to prevent fractures – probably the most compelling data that we have had in a number of years,” he noted.

The current study shows “it’s not [the] vitamin D,” because the residents had initial low calcium levels but normal vitamin D levels. “For too long we’ve been stuck on the idea that it is [increasing] vitamin D in the elderly that causes a reduction in fractures,” said Dr. Rosen. “The data are not very supportive of it, but people continue to think that’s the most important element.”

On the other hand, the current study raises certain questions. “What we don’t know is, is it the calcium, or is it the protein, or the combination, that had an impact?”

Would upping dairy decrease falls?

Older adults living in institutions have a high risk of falls and fractures, including hip fractures, and “malnutrition is common,” said Dr. Iuliano during her presentation.

Prior studies have reported that such residents have a daily dietary calcium intake of 635 mg (half the recommended 1,300 mg), a protein intake of 0.8 g/kg body weight (less than the recommended 1 g/kg body weight), and a dairy intake of 1.5 servings (about a third of the recommended amount), she said.

The group hypothesized that upping dairy intake of elderly residents living in long-term care institutions would reduce the risk of fractures. They performed a 2-year cluster-randomized trial in 60 facilities in Melbourne and surrounding areas.

Half gave their 3,301 residents menus with a higher dairy content, and the other half gave their 3,894 residents (controls) the usual menus.

The residents in both groups had similar characteristics: they were a mean age of 87 years and 68% were women. A subgroup had blood tests and bone morphology studies at baseline and 1 year.

Researchers verified nutrient intake by analyzing the menus and doing plate waste analysis for a subgroup, and they determined the number of falls and fractures from incident and hospital x-ray reports, respectively.
 

One-third fewer fractures in the higher-dairy group

At the study start, residents in both groups had similar vitamin D levels (72 nmol/L) and bone morphology. They were consuming two servings of dairy food and drink a day, where a serving was 250 mL of milk (including lactose-free milk) or 200 g of yogurt or 40 g of cheese.

Their initial daily calcium intake was 650 mg, which stayed the same in the control group, but increased to >1100 mg in the intervention group.

Their initial daily protein intake was around 59 g, which remained the same in the control group, but increased to about 72 grams (1.1 g/kg body weight) in the intervention group.

At 2 years, the 1.5 servings/day increase in dairy intake in the control versus intervention group was associated with an 11% reduction in falls (62% vs. 57%), a 33% reduction in fractures (5.2% vs. 3.7%), a 46% reduction in hip fractures (2.4% vs. 1.3%), and no difference in mortality (28% in both groups).

The intervention was also associated with a slowing in bone loss and an increase in insulinlike growth factor–1.
 

Four dairy servings a day “is high”

Dr. Willett said that “it is reasonable for seniors to take one or two servings of dairy per day, but four servings per day, as in this study, is probably not necessary.”

Moreover, “dairy production has a major impact on greenhouse gas emissions, and even two servings per day would not be environmentally sustainable if everyone were to consume this amount,” he observed.

“Because the world is facing an existential threat from climate change, general advice to consume high amounts of dairy products would be irresponsible as we can get all essential nutrients from other sources,” he added. “That said, modest amounts of dairy foods, such as one to two servings per day could be reasonable. There is some suggestive evidence that dairy in the form of yogurt may have particular benefits.”

The study was funded by Melbourne University and various dietary councils. Dr. Iuliano reported receiving lecture fees from Abbott. Dr. Rosen and Dr. Willett reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Consuming more milk, cheese, or yogurt might be a simple, low-cost way to boost bone health and prevent some falls and fractures in older people living in long-term care facilities, according to a new randomized study from Australia.

“Supplementation using dairy foods is likely to be an effective, safe, widely available, and low cost means of curtailing the public health burden of fractures,” said Sandra Iuliano, PhD, from the University of Melbourne, who presented the findings during the virtual American Society of Bone and Mineral Research 2020 annual meeting.

The researchers randomized 60 old-age institutions to provide residents with their usual menus or a diet with more milk, cheese, or yogurt for 2 years.

The residents with the altered menus increased their dairy consumption from 2 servings/day to 3.5 servings/day, which was reflected in a greater intake of calcium and protein, along with fewer falls, total fractures, and hip fractures than in the control group.

“This is the first randomized trial to show a benefit of dairy food intake on risk of fractures,” Walter Willett, MD, DrPH, professor of nutrition and epidemiology at the Harvard School of Public Health, Boston, said in an interview.

The results are “not surprising” because supplements of calcium plus vitamin D have reduced the risk of fractures in a similar population of older residents living in special living facilities, said Dr. Willett, coauthor of a recent review article, “Milk and Health,” published in the New England Journal of Medicine.

“It is important for everyone to have adequate intake of calcium and vitamin D,” he said. However, “it isn’t clear whether it is better to ensure this clinically by supplements, overall healthy diet, or extra dairy intake,” he added, noting that consuming the amount of dairy given in this Australian study is not environmentally sustainable.

Clifford Rosen, MD, professor of medicine, Tufts University, Boston, said in an interview that the Australian researchers studied the impact of increased dietary calcium and protein, not the impact of vitamin D via supplements.

“This is progress toward getting interventions to our most needy residents to prevent fractures – probably the most compelling data that we have had in a number of years,” he noted.

The current study shows “it’s not [the] vitamin D,” because the residents had initial low calcium levels but normal vitamin D levels. “For too long we’ve been stuck on the idea that it is [increasing] vitamin D in the elderly that causes a reduction in fractures,” said Dr. Rosen. “The data are not very supportive of it, but people continue to think that’s the most important element.”

On the other hand, the current study raises certain questions. “What we don’t know is, is it the calcium, or is it the protein, or the combination, that had an impact?”

Would upping dairy decrease falls?

Older adults living in institutions have a high risk of falls and fractures, including hip fractures, and “malnutrition is common,” said Dr. Iuliano during her presentation.

Prior studies have reported that such residents have a daily dietary calcium intake of 635 mg (half the recommended 1,300 mg), a protein intake of 0.8 g/kg body weight (less than the recommended 1 g/kg body weight), and a dairy intake of 1.5 servings (about a third of the recommended amount), she said.

The group hypothesized that upping dairy intake of elderly residents living in long-term care institutions would reduce the risk of fractures. They performed a 2-year cluster-randomized trial in 60 facilities in Melbourne and surrounding areas.

Half gave their 3,301 residents menus with a higher dairy content, and the other half gave their 3,894 residents (controls) the usual menus.

The residents in both groups had similar characteristics: they were a mean age of 87 years and 68% were women. A subgroup had blood tests and bone morphology studies at baseline and 1 year.

Researchers verified nutrient intake by analyzing the menus and doing plate waste analysis for a subgroup, and they determined the number of falls and fractures from incident and hospital x-ray reports, respectively.
 

One-third fewer fractures in the higher-dairy group

At the study start, residents in both groups had similar vitamin D levels (72 nmol/L) and bone morphology. They were consuming two servings of dairy food and drink a day, where a serving was 250 mL of milk (including lactose-free milk) or 200 g of yogurt or 40 g of cheese.

Their initial daily calcium intake was 650 mg, which stayed the same in the control group, but increased to >1100 mg in the intervention group.

Their initial daily protein intake was around 59 g, which remained the same in the control group, but increased to about 72 grams (1.1 g/kg body weight) in the intervention group.

At 2 years, the 1.5 servings/day increase in dairy intake in the control versus intervention group was associated with an 11% reduction in falls (62% vs. 57%), a 33% reduction in fractures (5.2% vs. 3.7%), a 46% reduction in hip fractures (2.4% vs. 1.3%), and no difference in mortality (28% in both groups).

The intervention was also associated with a slowing in bone loss and an increase in insulinlike growth factor–1.
 

Four dairy servings a day “is high”

Dr. Willett said that “it is reasonable for seniors to take one or two servings of dairy per day, but four servings per day, as in this study, is probably not necessary.”

Moreover, “dairy production has a major impact on greenhouse gas emissions, and even two servings per day would not be environmentally sustainable if everyone were to consume this amount,” he observed.

“Because the world is facing an existential threat from climate change, general advice to consume high amounts of dairy products would be irresponsible as we can get all essential nutrients from other sources,” he added. “That said, modest amounts of dairy foods, such as one to two servings per day could be reasonable. There is some suggestive evidence that dairy in the form of yogurt may have particular benefits.”

The study was funded by Melbourne University and various dietary councils. Dr. Iuliano reported receiving lecture fees from Abbott. Dr. Rosen and Dr. Willett reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Technology is pervasive, and for many people, it is central to their daily activities. Younger people who have been exposed to technology for their entire lives take this for granted, but older individuals often have had much less experience with it. Many technological developments that are now a part of most people’s daily life, such as personal computers, cell phones, and automated teller machines (ATMs), have occurred in the past 4 decades, with the pace accelerating in the last 15 to 20 years.

Such changes have had a substantial impact on older adults who were never exposed to these technologies during their working life. For example, an 85-year-old person who retired at age 65 would probably have not been exposed to wireless internet prior to retirement. Therefore, all of the tasks that they are now required to complete online would have been performed in other ways. Banking, accessing instruction manuals for new devices, and even scheduling and confirming health care appointments and accessing medical records all now require individuals to have a level of technological skills that many older individuals find challenging. At times, this can limit their ability to complete routine daily activities, and also can have clinical implications (Table).

Fortunately, there are strategies clinicians can use to help their older patients face these challenges. In this article, we describe the cognitive domains associated with learning technological skills, how aging affects these domains, and what can be done to help older adults improve their technological skills.

Limited training on how to use new technology

Technological skills are similar to any other skills in one critical way: they need to be learned. At the same time, technological skills also differ from many other skills, such as playing a musical instrument, because of the constant updating of devices, programs, and applications. When smartphones or computers update their operating systems, the visual appearance of the screen and the way that tasks are performed also can change. Buttons can move and sequences of commands can be altered. Updates often happen with little or no notice, and users may need to navigate a completely different device landscape in order to perform tasks that they had previously mastered.

In addition, the creators/distributors of technology typically provide little training or documentation. Further, institutions such as banks or health care systems frequently do not provide any specific training for using their systems. For example, when patients are required to use technology to refill prescriptions, typically there is no training available on how the system operates.

Cognitive domains associated with technological skills

Because there are minimal opportunities to receive training in how to use most aspects of technology, users have to be able to learn by exposure and experience. This requires several different cognitive abilities to work together. In a recent review, Harvey¹ described cognition and cognitive assessment in the general population, with a focus on cognitive domains. Here we discuss several of these domains in terms of the relationship to real-world functional tasks and discuss their importance for mastering technology.

Reasoning and problem solving. Because most technological devices and applications are designed to be “intuitive,” the user needs to be able to adopt a sequential approach to learning the task. For example, using the internet to refill a prescription requires several steps:

• accessing the internet
• finding the pharmacy web site
• establishing a user ID and password
• navigating the web site to the prescriptions section
• identifying the correct prescription
• requesting the refill
• selecting the pickup date and time.

Continue to: After navigating these steps...

After navigating these steps, an individual still needs other cognitive abilities to refill other prescriptions later. However, executive functioning is also critical for maintaining organization across different technological demands. For example, web sites have different password rules and require frequent changes without re-using old passwords, so it becomes critical to maintain an organized list of web site addresses and their passwords.

Refilling a prescription with a telephone voice menu also requires a series of steps. Typically, this process is simpler than an internet refill, because no log-in information is necessary. However, it still requires a structured series of tasks.

Working memory refers to the ability to hold information in consciousness long enough to operate on it. At each step of the navigation process, the user needs to remember which steps he/she has already completed, because repeating steps can slow down the process or lead to error messages. Thus, remembering which steps have been completed is as critical for performing tasks as is correctly understanding the anticipated sequence of steps. Further, when a password is forgotten, the user needs to remember the newly provided password.

Working memory can be spatial as well. For example, most web sites do not display a password while it is being entered, which eliminates spatial working memory from the equation. Thus, the ability to remember which characters have been entered and which still need to be entered is necessary.

Episodic memory is the process of learning and retaining newly presented verbal or spatial information as well as recalling it later for adaptive use. After successfully using a new technology, it is critical to be able to remember what to do the next time it is used. This includes both recalling how to access the technology (including the web address, user ID, and password), recalling the steps needed to be performed and their sequence, and recognizing the buttons and instructions presented onscreen.

Continue to: Procedural memory

Procedural memory is memory for motor acts and sequences. For instance, remembering how to ride a bicycle is a procedural memory, as is the ability to perform motor acts in sequence, such as peeling, cutting, and cooking vegetables. Interestingly, procedural memory can be spared in individuals with major challenges in episodic memory, such as those with amnestic conditions or cortical dementia. Thus, it may be possible for people to continue to perform technology-based skills despite declines in episodic memory. Many current technological functional tasks have fixed sequences of events that, if remembered, can lead to increased efficiency and higher chances of success in performance of functional tasks.

Prospective memory is the ability to remember to perform tasks in the future. This can include event-related tasks (eg, enter your password before trying to make a hotel reservation on a web site) or time-related tasks (eg, refill your prescriptions next Friday). Technology can actually facilitate prospective memory by providing reminders to individuals, such as alarms for appointments. However, prospective memory is required to initially set up such alarms, and setting up confusing or incorrect alarms can impede task performance.

Processing speed is the ability to perform cognitively demanding tasks under time constraints. Traditional processing speed tasks include coding and sorting tasks, which require processing new information and effort for relatively short periods of time. In our research, we discovered that processing speed measured with traditional tests was strongly correlated with the time required to perform functional tasks such as an ATM banking task.^2,3 This correlation makes sense in terms of the fact that many real-world functional tasks with technology often have a series of sequential demands that must be accomplished before progression to the next task.

Manual dexterity is also important for using technology. Many electronic devices have small, touch screen-based keyboards. Being able to touch the correct key requires dexterity and can be made more difficult by age-related vision changes, a tremor, or reduced sensation in extremities.

Cognitive changes and aging

It is normal for certain cognitive abilities to change with aging. There are a set of cognitive skills that are generally stable from early adulthood until the early “senescent” period. Some of these skills decline normatively after age 60 to 65, or earlier in some individuals. These include processing new information, solving new problems, and learning and remembering information. Referred to as “fluid intelligence,” these abilities show age-related decline during healthy aging, and even greater decline in individuals with age-related cognitive conditions.

Continue to: On the other hand...

On the other hand, some cognitive abilities do not decline with aging. These include previously acquired knowledge, such as vocabulary and mathematics skills, as well as factual information, such as academic information and the faces of familiar people. These are referred to as “crystallized intelligence,” and there is limited evidence that they decline with age. In fact, these abilities do not decline until the moderately severe stage of cortical dementias, and are commonly used to index premorbid cognitive functioning and cognitive reserve.

Why is this distinction between fluid intelligence and crystallized intelligence important? As noted above, many older people do not have early-life experience with technology. Thus, their crystallized intelligence, which is not as vulnerable to decline with aging, does not include information about how to perform many technological tasks. In contrast to today’s adolescents and young adults, older adults’ academic history typically does not include using smartphones, doing homework via Google Docs, or having homework and classwork assigned via the internet.

Learning how to use new technology requires fluid intelligence, and these abilities are less efficient in older adults. So for many older people, technological tasks can be complex and unfamiliar, and the skills needed to learn how to perform them are also more limited, even in comparison to older adults’ own ability when younger. Because many technology-based activities require concurrent performance of multiple tasks, older adults are at a disadvantage.⁴ It is not surprising, therefore, that a subset of older adults rate their technology skills as weak, and technology-based tasks as challenging or anxiety-provoking.

However, studies show most older adults’ attitudes toward technology remain largely positive, and that they are capable of attaining the necessary skills to use information and communication technology.^4,5 An individual’s perception of his/her age, age-related beliefs, and self-efficacy are associated not only with attitudes toward technology, but possibly with cognition itself.⁶

Education level and socioeconomic factors also influence a person’s ability to become proficient in using technology.^7-9 In fact, socioeconomic factors are more strongly related to access to the internet than age. Many older adults have internet access, but this access does not always translate into full use of its services.

Continue to: The Box...

The Box^10-22 describes some of the effects of aging on the brain, and how these changes are reflected in cognitive abilities.

Box

The role of cognitive training

Existing interventions for helping older adults improve their technology proficiency generally focus on improving cognition, and not necessarily on addressing skills learning. Skills learning and cognition are related; however, the brain depends on neural plasticity for skills learning, whereas cognitive declines are a result of gradual and functional worsening of memory, processing speed, executive functioning, and attention.²³ Interventions such as cognitive strategy training are capable of altering brain neurocircuitry to improve attention and memory.^10,11 Other interventions known to improve cognition include exercise¹⁰ and processing speed training.²⁴ On the other hand, skills learning is more effectively targeted by interventions that focus on stimulating realistic environments to mimic activities of daily living that involve technology.

Studies have consistently demonstrated cognitive improvements associated with computerized cognitive training (CCT). The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study was designed to evaluate the efficacy of cognitive training in 2,832 healthy adults age >65 across 6 recruitment sites in the United States.²⁵ Participants were randomized to a control group (no treatment) or to 1 of 3 treatment groups:

• memory strategy training (instructor-led, not computerized)
• reasoning training (instructor-led, not computerized)
• speed training (no instructor, adaptive computerized training).

Each treatment group received 10 sessions of classroom-based training (1 hour each, twice per week for 5 weeks). Following the intervention, participants who had completed ≥8 sessions were randomized to receive 4 booster sessions at 11 and 35 months after the initial training, or no booster sessions.

Each cognitive training program significantly improved performance on within-domain cognitive tests relative to the control group. Effect sizes were large immediately following training; they declined over time, but were still significant at 10-year follow-up. As hypothesized, training effects did not generalize to neuropsychological tests in other training domains. The booster subgroup of speed training showed improved performance on a separate functional speed measure at 2-year²⁶ and 5-year follow-up.²⁷ Each condition showed slower decline in instrumental activities of daily living relative to the control group.

Continue to: The Figure...

The Figure shows the type of stimuli presented in the speed training, a procedure where individuals are taught high-speed multitasking by having to identify and locate visual information quickly in a divided-attention format. A stimulus appears in the center of the screen—either a car or a truck—and at the same time, a “Route 66” sign appears in the periphery. For every successful response, the next stimulus is presented at a shorter duration after every successful response, and more slowly after errors.

Secondary outcome analyses demonstrated that for older adults, speed training reduced rates of driving cessation,²⁷ improved driving habits, and lowered the incidence of at-fault crashes²⁸ (based on motor vehicle records). Speed training also resulted in improvements in health-related quality of life,^29,30 depression,³¹ locus of control,³² and medical expenditures.³³ An analysis of 10-year outcomes³⁴ found that speed training was associated with a 29% reduction in risk of developing of dementia, while the other 2 interventions were not. However, despite these multiple areas of benefit, there was no evidence that new functional skills were acquired as a result of the training.^26-34

Functional skills training

While there is a long history of using functional skills training to help patients with schizophrenia, for healthy older people, there are considerably more challenges. First, aging is not a disease. Consequently, functional skills training is typically not covered by health insurance. Second, functional skills training delivered by a human trainer can be expensive and is not readily available. Finally, there are no real curricula for training functional skills, particularly those that are device-based (phone, tablet, or computer).

Recently, researchers have developed a functional skills assessment and training program that was originally piloted as a fixed difficulty simulation as described in 2 studies by Czaja et al.^2,3 The original assessment was used to compare healthy control individuals with people with mild cognitive impairment (MCI) or schizophrenia. Most recently, training modules for 6 different technology-based functional tasks have been developed and piloted in samples of healthy controls and patients with MCI in a randomized trial.³⁵ Half of the participants in each of the 2 groups were randomized to receive speed training similar to the ACTIVE study, and the other half received skills training alone. All participants were trained for 24 sessions over 12 weeks or until they mastered all 6 simulations.

Both patients with MCI and healthy controls improved in all 6 simulations. Although patients with MCI were considerably less efficient at baseline, their training gains per session were equivalent to that of healthy controls. Finally, concurrent cognitive training increased the efficiency of skills training. At the end of the study, functional gains were the same for people in both groups randomized to either condition, even though individuals in the combined cognitive and skills training interventions received only half as much skills training time.

Continue to: What to tell patients

What to tell patients

Older patients might ask their clinicians what they can do to “exercise their brain.” Let them know that CCT has been shown to improve cognitive performance in healthy older people, and that there are several evidence-based, commercially available products for this purpose. Two such self-administrable systems with supportive data are BrainHQ (www.brainhq.com) and Happy Neuron (www.happy-neuron.com). Explain that it is likely that the best strategy is a combination of cognitive and functional skills training. One commercially available functional skills training program with supportive data is i-Function (www.i-Function.com). (Editor’s note: One of the authors, PDH, is an employee of i-Function, Inc.)

Bottom Line

Clinicians should ensure older patients that they have the cognitive capacity to learn new technology-related functional skills, and that such patients have the opportunity to learn these skills. Clinicians need to be able to identify people who are at high risk of not being able to adhere to instructions and suggestions that require interactions with technology. Treatment options include computerized cognitive training and functional skills training.

Related Resources

• Hill NT, Mowszowski L, Naismith SL, et al. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and metaanalysis. Am J Psychiatry. 2017;174(4):329-340.
• Harvey PD, McGurk SR, Mahncke H, et al. Controversies in computerized cognitive training. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(11):907-915.

Technology is pervasive, and for many people, it is central to their daily activities. Younger people who have been exposed to technology for their entire lives take this for granted, but older individuals often have had much less experience with it. Many technological developments that are now a part of most people’s daily life, such as personal computers, cell phones, and automated teller machines (ATMs), have occurred in the past 4 decades, with the pace accelerating in the last 15 to 20 years.

Such changes have had a substantial impact on older adults who were never exposed to these technologies during their working life. For example, an 85-year-old person who retired at age 65 would probably have not been exposed to wireless internet prior to retirement. Therefore, all of the tasks that they are now required to complete online would have been performed in other ways. Banking, accessing instruction manuals for new devices, and even scheduling and confirming health care appointments and accessing medical records all now require individuals to have a level of technological skills that many older individuals find challenging. At times, this can limit their ability to complete routine daily activities, and also can have clinical implications (Table).

Fortunately, there are strategies clinicians can use to help their older patients face these challenges. In this article, we describe the cognitive domains associated with learning technological skills, how aging affects these domains, and what can be done to help older adults improve their technological skills.

Limited training on how to use new technology

Technological skills are similar to any other skills in one critical way: they need to be learned. At the same time, technological skills also differ from many other skills, such as playing a musical instrument, because of the constant updating of devices, programs, and applications. When smartphones or computers update their operating systems, the visual appearance of the screen and the way that tasks are performed also can change. Buttons can move and sequences of commands can be altered. Updates often happen with little or no notice, and users may need to navigate a completely different device landscape in order to perform tasks that they had previously mastered.

In addition, the creators/distributors of technology typically provide little training or documentation. Further, institutions such as banks or health care systems frequently do not provide any specific training for using their systems. For example, when patients are required to use technology to refill prescriptions, typically there is no training available on how the system operates.

Cognitive domains associated with technological skills

Because there are minimal opportunities to receive training in how to use most aspects of technology, users have to be able to learn by exposure and experience. This requires several different cognitive abilities to work together. In a recent review, Harvey¹ described cognition and cognitive assessment in the general population, with a focus on cognitive domains. Here we discuss several of these domains in terms of the relationship to real-world functional tasks and discuss their importance for mastering technology.

Reasoning and problem solving. Because most technological devices and applications are designed to be “intuitive,” the user needs to be able to adopt a sequential approach to learning the task. For example, using the internet to refill a prescription requires several steps:

• accessing the internet
• finding the pharmacy web site
• establishing a user ID and password
• navigating the web site to the prescriptions section
• identifying the correct prescription
• requesting the refill
• selecting the pickup date and time.

Continue to: After navigating these steps...

After navigating these steps, an individual still needs other cognitive abilities to refill other prescriptions later. However, executive functioning is also critical for maintaining organization across different technological demands. For example, web sites have different password rules and require frequent changes without re-using old passwords, so it becomes critical to maintain an organized list of web site addresses and their passwords.

Refilling a prescription with a telephone voice menu also requires a series of steps. Typically, this process is simpler than an internet refill, because no log-in information is necessary. However, it still requires a structured series of tasks.

Working memory refers to the ability to hold information in consciousness long enough to operate on it. At each step of the navigation process, the user needs to remember which steps he/she has already completed, because repeating steps can slow down the process or lead to error messages. Thus, remembering which steps have been completed is as critical for performing tasks as is correctly understanding the anticipated sequence of steps. Further, when a password is forgotten, the user needs to remember the newly provided password.

Working memory can be spatial as well. For example, most web sites do not display a password while it is being entered, which eliminates spatial working memory from the equation. Thus, the ability to remember which characters have been entered and which still need to be entered is necessary.

Episodic memory is the process of learning and retaining newly presented verbal or spatial information as well as recalling it later for adaptive use. After successfully using a new technology, it is critical to be able to remember what to do the next time it is used. This includes both recalling how to access the technology (including the web address, user ID, and password), recalling the steps needed to be performed and their sequence, and recognizing the buttons and instructions presented onscreen.

Continue to: Procedural memory

Procedural memory is memory for motor acts and sequences. For instance, remembering how to ride a bicycle is a procedural memory, as is the ability to perform motor acts in sequence, such as peeling, cutting, and cooking vegetables. Interestingly, procedural memory can be spared in individuals with major challenges in episodic memory, such as those with amnestic conditions or cortical dementia. Thus, it may be possible for people to continue to perform technology-based skills despite declines in episodic memory. Many current technological functional tasks have fixed sequences of events that, if remembered, can lead to increased efficiency and higher chances of success in performance of functional tasks.

Prospective memory is the ability to remember to perform tasks in the future. This can include event-related tasks (eg, enter your password before trying to make a hotel reservation on a web site) or time-related tasks (eg, refill your prescriptions next Friday). Technology can actually facilitate prospective memory by providing reminders to individuals, such as alarms for appointments. However, prospective memory is required to initially set up such alarms, and setting up confusing or incorrect alarms can impede task performance.

Processing speed is the ability to perform cognitively demanding tasks under time constraints. Traditional processing speed tasks include coding and sorting tasks, which require processing new information and effort for relatively short periods of time. In our research, we discovered that processing speed measured with traditional tests was strongly correlated with the time required to perform functional tasks such as an ATM banking task.^2,3 This correlation makes sense in terms of the fact that many real-world functional tasks with technology often have a series of sequential demands that must be accomplished before progression to the next task.

Manual dexterity is also important for using technology. Many electronic devices have small, touch screen-based keyboards. Being able to touch the correct key requires dexterity and can be made more difficult by age-related vision changes, a tremor, or reduced sensation in extremities.

Cognitive changes and aging

It is normal for certain cognitive abilities to change with aging. There are a set of cognitive skills that are generally stable from early adulthood until the early “senescent” period. Some of these skills decline normatively after age 60 to 65, or earlier in some individuals. These include processing new information, solving new problems, and learning and remembering information. Referred to as “fluid intelligence,” these abilities show age-related decline during healthy aging, and even greater decline in individuals with age-related cognitive conditions.

Continue to: On the other hand...

On the other hand, some cognitive abilities do not decline with aging. These include previously acquired knowledge, such as vocabulary and mathematics skills, as well as factual information, such as academic information and the faces of familiar people. These are referred to as “crystallized intelligence,” and there is limited evidence that they decline with age. In fact, these abilities do not decline until the moderately severe stage of cortical dementias, and are commonly used to index premorbid cognitive functioning and cognitive reserve.

Why is this distinction between fluid intelligence and crystallized intelligence important? As noted above, many older people do not have early-life experience with technology. Thus, their crystallized intelligence, which is not as vulnerable to decline with aging, does not include information about how to perform many technological tasks. In contrast to today’s adolescents and young adults, older adults’ academic history typically does not include using smartphones, doing homework via Google Docs, or having homework and classwork assigned via the internet.

Learning how to use new technology requires fluid intelligence, and these abilities are less efficient in older adults. So for many older people, technological tasks can be complex and unfamiliar, and the skills needed to learn how to perform them are also more limited, even in comparison to older adults’ own ability when younger. Because many technology-based activities require concurrent performance of multiple tasks, older adults are at a disadvantage.⁴ It is not surprising, therefore, that a subset of older adults rate their technology skills as weak, and technology-based tasks as challenging or anxiety-provoking.

However, studies show most older adults’ attitudes toward technology remain largely positive, and that they are capable of attaining the necessary skills to use information and communication technology.^4,5 An individual’s perception of his/her age, age-related beliefs, and self-efficacy are associated not only with attitudes toward technology, but possibly with cognition itself.⁶

Education level and socioeconomic factors also influence a person’s ability to become proficient in using technology.^7-9 In fact, socioeconomic factors are more strongly related to access to the internet than age. Many older adults have internet access, but this access does not always translate into full use of its services.

Continue to: The Box...

The Box^10-22 describes some of the effects of aging on the brain, and how these changes are reflected in cognitive abilities.

Box

The role of cognitive training

Existing interventions for helping older adults improve their technology proficiency generally focus on improving cognition, and not necessarily on addressing skills learning. Skills learning and cognition are related; however, the brain depends on neural plasticity for skills learning, whereas cognitive declines are a result of gradual and functional worsening of memory, processing speed, executive functioning, and attention.²³ Interventions such as cognitive strategy training are capable of altering brain neurocircuitry to improve attention and memory.^10,11 Other interventions known to improve cognition include exercise¹⁰ and processing speed training.²⁴ On the other hand, skills learning is more effectively targeted by interventions that focus on stimulating realistic environments to mimic activities of daily living that involve technology.

Studies have consistently demonstrated cognitive improvements associated with computerized cognitive training (CCT). The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study was designed to evaluate the efficacy of cognitive training in 2,832 healthy adults age >65 across 6 recruitment sites in the United States.²⁵ Participants were randomized to a control group (no treatment) or to 1 of 3 treatment groups:

• memory strategy training (instructor-led, not computerized)
• reasoning training (instructor-led, not computerized)
• speed training (no instructor, adaptive computerized training).

Each treatment group received 10 sessions of classroom-based training (1 hour each, twice per week for 5 weeks). Following the intervention, participants who had completed ≥8 sessions were randomized to receive 4 booster sessions at 11 and 35 months after the initial training, or no booster sessions.

Each cognitive training program significantly improved performance on within-domain cognitive tests relative to the control group. Effect sizes were large immediately following training; they declined over time, but were still significant at 10-year follow-up. As hypothesized, training effects did not generalize to neuropsychological tests in other training domains. The booster subgroup of speed training showed improved performance on a separate functional speed measure at 2-year²⁶ and 5-year follow-up.²⁷ Each condition showed slower decline in instrumental activities of daily living relative to the control group.

Continue to: The Figure...

The Figure shows the type of stimuli presented in the speed training, a procedure where individuals are taught high-speed multitasking by having to identify and locate visual information quickly in a divided-attention format. A stimulus appears in the center of the screen—either a car or a truck—and at the same time, a “Route 66” sign appears in the periphery. For every successful response, the next stimulus is presented at a shorter duration after every successful response, and more slowly after errors.

Secondary outcome analyses demonstrated that for older adults, speed training reduced rates of driving cessation,²⁷ improved driving habits, and lowered the incidence of at-fault crashes²⁸ (based on motor vehicle records). Speed training also resulted in improvements in health-related quality of life,^29,30 depression,³¹ locus of control,³² and medical expenditures.³³ An analysis of 10-year outcomes³⁴ found that speed training was associated with a 29% reduction in risk of developing of dementia, while the other 2 interventions were not. However, despite these multiple areas of benefit, there was no evidence that new functional skills were acquired as a result of the training.^26-34

Functional skills training

While there is a long history of using functional skills training to help patients with schizophrenia, for healthy older people, there are considerably more challenges. First, aging is not a disease. Consequently, functional skills training is typically not covered by health insurance. Second, functional skills training delivered by a human trainer can be expensive and is not readily available. Finally, there are no real curricula for training functional skills, particularly those that are device-based (phone, tablet, or computer).

Recently, researchers have developed a functional skills assessment and training program that was originally piloted as a fixed difficulty simulation as described in 2 studies by Czaja et al.^2,3 The original assessment was used to compare healthy control individuals with people with mild cognitive impairment (MCI) or schizophrenia. Most recently, training modules for 6 different technology-based functional tasks have been developed and piloted in samples of healthy controls and patients with MCI in a randomized trial.³⁵ Half of the participants in each of the 2 groups were randomized to receive speed training similar to the ACTIVE study, and the other half received skills training alone. All participants were trained for 24 sessions over 12 weeks or until they mastered all 6 simulations.

Both patients with MCI and healthy controls improved in all 6 simulations. Although patients with MCI were considerably less efficient at baseline, their training gains per session were equivalent to that of healthy controls. Finally, concurrent cognitive training increased the efficiency of skills training. At the end of the study, functional gains were the same for people in both groups randomized to either condition, even though individuals in the combined cognitive and skills training interventions received only half as much skills training time.

Continue to: What to tell patients

What to tell patients

Older patients might ask their clinicians what they can do to “exercise their brain.” Let them know that CCT has been shown to improve cognitive performance in healthy older people, and that there are several evidence-based, commercially available products for this purpose. Two such self-administrable systems with supportive data are BrainHQ (www.brainhq.com) and Happy Neuron (www.happy-neuron.com). Explain that it is likely that the best strategy is a combination of cognitive and functional skills training. One commercially available functional skills training program with supportive data is i-Function (www.i-Function.com). (Editor’s note: One of the authors, PDH, is an employee of i-Function, Inc.)

Bottom Line

Clinicians should ensure older patients that they have the cognitive capacity to learn new technology-related functional skills, and that such patients have the opportunity to learn these skills. Clinicians need to be able to identify people who are at high risk of not being able to adhere to instructions and suggestions that require interactions with technology. Treatment options include computerized cognitive training and functional skills training.

Related Resources

• Hill NT, Mowszowski L, Naismith SL, et al. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and metaanalysis. Am J Psychiatry. 2017;174(4):329-340.
• Harvey PD, McGurk SR, Mahncke H, et al. Controversies in computerized cognitive training. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(11):907-915.

Technology is pervasive, and for many people, it is central to their daily activities. Younger people who have been exposed to technology for their entire lives take this for granted, but older individuals often have had much less experience with it. Many technological developments that are now a part of most people’s daily life, such as personal computers, cell phones, and automated teller machines (ATMs), have occurred in the past 4 decades, with the pace accelerating in the last 15 to 20 years.

Such changes have had a substantial impact on older adults who were never exposed to these technologies during their working life. For example, an 85-year-old person who retired at age 65 would probably have not been exposed to wireless internet prior to retirement. Therefore, all of the tasks that they are now required to complete online would have been performed in other ways. Banking, accessing instruction manuals for new devices, and even scheduling and confirming health care appointments and accessing medical records all now require individuals to have a level of technological skills that many older individuals find challenging. At times, this can limit their ability to complete routine daily activities, and also can have clinical implications (Table).

Fortunately, there are strategies clinicians can use to help their older patients face these challenges. In this article, we describe the cognitive domains associated with learning technological skills, how aging affects these domains, and what can be done to help older adults improve their technological skills.

Limited training on how to use new technology

Technological skills are similar to any other skills in one critical way: they need to be learned. At the same time, technological skills also differ from many other skills, such as playing a musical instrument, because of the constant updating of devices, programs, and applications. When smartphones or computers update their operating systems, the visual appearance of the screen and the way that tasks are performed also can change. Buttons can move and sequences of commands can be altered. Updates often happen with little or no notice, and users may need to navigate a completely different device landscape in order to perform tasks that they had previously mastered.

In addition, the creators/distributors of technology typically provide little training or documentation. Further, institutions such as banks or health care systems frequently do not provide any specific training for using their systems. For example, when patients are required to use technology to refill prescriptions, typically there is no training available on how the system operates.

Cognitive domains associated with technological skills

Because there are minimal opportunities to receive training in how to use most aspects of technology, users have to be able to learn by exposure and experience. This requires several different cognitive abilities to work together. In a recent review, Harvey¹ described cognition and cognitive assessment in the general population, with a focus on cognitive domains. Here we discuss several of these domains in terms of the relationship to real-world functional tasks and discuss their importance for mastering technology.

Reasoning and problem solving. Because most technological devices and applications are designed to be “intuitive,” the user needs to be able to adopt a sequential approach to learning the task. For example, using the internet to refill a prescription requires several steps:

• accessing the internet
• finding the pharmacy web site
• establishing a user ID and password
• navigating the web site to the prescriptions section
• identifying the correct prescription
• requesting the refill
• selecting the pickup date and time.

Continue to: After navigating these steps...

After navigating these steps, an individual still needs other cognitive abilities to refill other prescriptions later. However, executive functioning is also critical for maintaining organization across different technological demands. For example, web sites have different password rules and require frequent changes without re-using old passwords, so it becomes critical to maintain an organized list of web site addresses and their passwords.

Refilling a prescription with a telephone voice menu also requires a series of steps. Typically, this process is simpler than an internet refill, because no log-in information is necessary. However, it still requires a structured series of tasks.

Working memory refers to the ability to hold information in consciousness long enough to operate on it. At each step of the navigation process, the user needs to remember which steps he/she has already completed, because repeating steps can slow down the process or lead to error messages. Thus, remembering which steps have been completed is as critical for performing tasks as is correctly understanding the anticipated sequence of steps. Further, when a password is forgotten, the user needs to remember the newly provided password.

Working memory can be spatial as well. For example, most web sites do not display a password while it is being entered, which eliminates spatial working memory from the equation. Thus, the ability to remember which characters have been entered and which still need to be entered is necessary.

Episodic memory is the process of learning and retaining newly presented verbal or spatial information as well as recalling it later for adaptive use. After successfully using a new technology, it is critical to be able to remember what to do the next time it is used. This includes both recalling how to access the technology (including the web address, user ID, and password), recalling the steps needed to be performed and their sequence, and recognizing the buttons and instructions presented onscreen.

Continue to: Procedural memory

Procedural memory is memory for motor acts and sequences. For instance, remembering how to ride a bicycle is a procedural memory, as is the ability to perform motor acts in sequence, such as peeling, cutting, and cooking vegetables. Interestingly, procedural memory can be spared in individuals with major challenges in episodic memory, such as those with amnestic conditions or cortical dementia. Thus, it may be possible for people to continue to perform technology-based skills despite declines in episodic memory. Many current technological functional tasks have fixed sequences of events that, if remembered, can lead to increased efficiency and higher chances of success in performance of functional tasks.

Prospective memory is the ability to remember to perform tasks in the future. This can include event-related tasks (eg, enter your password before trying to make a hotel reservation on a web site) or time-related tasks (eg, refill your prescriptions next Friday). Technology can actually facilitate prospective memory by providing reminders to individuals, such as alarms for appointments. However, prospective memory is required to initially set up such alarms, and setting up confusing or incorrect alarms can impede task performance.

Processing speed is the ability to perform cognitively demanding tasks under time constraints. Traditional processing speed tasks include coding and sorting tasks, which require processing new information and effort for relatively short periods of time. In our research, we discovered that processing speed measured with traditional tests was strongly correlated with the time required to perform functional tasks such as an ATM banking task.^2,3 This correlation makes sense in terms of the fact that many real-world functional tasks with technology often have a series of sequential demands that must be accomplished before progression to the next task.

Manual dexterity is also important for using technology. Many electronic devices have small, touch screen-based keyboards. Being able to touch the correct key requires dexterity and can be made more difficult by age-related vision changes, a tremor, or reduced sensation in extremities.

Cognitive changes and aging

It is normal for certain cognitive abilities to change with aging. There are a set of cognitive skills that are generally stable from early adulthood until the early “senescent” period. Some of these skills decline normatively after age 60 to 65, or earlier in some individuals. These include processing new information, solving new problems, and learning and remembering information. Referred to as “fluid intelligence,” these abilities show age-related decline during healthy aging, and even greater decline in individuals with age-related cognitive conditions.

Continue to: On the other hand...

On the other hand, some cognitive abilities do not decline with aging. These include previously acquired knowledge, such as vocabulary and mathematics skills, as well as factual information, such as academic information and the faces of familiar people. These are referred to as “crystallized intelligence,” and there is limited evidence that they decline with age. In fact, these abilities do not decline until the moderately severe stage of cortical dementias, and are commonly used to index premorbid cognitive functioning and cognitive reserve.

Why is this distinction between fluid intelligence and crystallized intelligence important? As noted above, many older people do not have early-life experience with technology. Thus, their crystallized intelligence, which is not as vulnerable to decline with aging, does not include information about how to perform many technological tasks. In contrast to today’s adolescents and young adults, older adults’ academic history typically does not include using smartphones, doing homework via Google Docs, or having homework and classwork assigned via the internet.

Learning how to use new technology requires fluid intelligence, and these abilities are less efficient in older adults. So for many older people, technological tasks can be complex and unfamiliar, and the skills needed to learn how to perform them are also more limited, even in comparison to older adults’ own ability when younger. Because many technology-based activities require concurrent performance of multiple tasks, older adults are at a disadvantage.⁴ It is not surprising, therefore, that a subset of older adults rate their technology skills as weak, and technology-based tasks as challenging or anxiety-provoking.

However, studies show most older adults’ attitudes toward technology remain largely positive, and that they are capable of attaining the necessary skills to use information and communication technology.^4,5 An individual’s perception of his/her age, age-related beliefs, and self-efficacy are associated not only with attitudes toward technology, but possibly with cognition itself.⁶

Education level and socioeconomic factors also influence a person’s ability to become proficient in using technology.^7-9 In fact, socioeconomic factors are more strongly related to access to the internet than age. Many older adults have internet access, but this access does not always translate into full use of its services.

Continue to: The Box...

The Box^10-22 describes some of the effects of aging on the brain, and how these changes are reflected in cognitive abilities.

Box

The role of cognitive training

Existing interventions for helping older adults improve their technology proficiency generally focus on improving cognition, and not necessarily on addressing skills learning. Skills learning and cognition are related; however, the brain depends on neural plasticity for skills learning, whereas cognitive declines are a result of gradual and functional worsening of memory, processing speed, executive functioning, and attention.²³ Interventions such as cognitive strategy training are capable of altering brain neurocircuitry to improve attention and memory.^10,11 Other interventions known to improve cognition include exercise¹⁰ and processing speed training.²⁴ On the other hand, skills learning is more effectively targeted by interventions that focus on stimulating realistic environments to mimic activities of daily living that involve technology.

Studies have consistently demonstrated cognitive improvements associated with computerized cognitive training (CCT). The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study was designed to evaluate the efficacy of cognitive training in 2,832 healthy adults age >65 across 6 recruitment sites in the United States.²⁵ Participants were randomized to a control group (no treatment) or to 1 of 3 treatment groups:

• memory strategy training (instructor-led, not computerized)
• reasoning training (instructor-led, not computerized)
• speed training (no instructor, adaptive computerized training).

Each treatment group received 10 sessions of classroom-based training (1 hour each, twice per week for 5 weeks). Following the intervention, participants who had completed ≥8 sessions were randomized to receive 4 booster sessions at 11 and 35 months after the initial training, or no booster sessions.

Each cognitive training program significantly improved performance on within-domain cognitive tests relative to the control group. Effect sizes were large immediately following training; they declined over time, but were still significant at 10-year follow-up. As hypothesized, training effects did not generalize to neuropsychological tests in other training domains. The booster subgroup of speed training showed improved performance on a separate functional speed measure at 2-year²⁶ and 5-year follow-up.²⁷ Each condition showed slower decline in instrumental activities of daily living relative to the control group.

Continue to: The Figure...

The Figure shows the type of stimuli presented in the speed training, a procedure where individuals are taught high-speed multitasking by having to identify and locate visual information quickly in a divided-attention format. A stimulus appears in the center of the screen—either a car or a truck—and at the same time, a “Route 66” sign appears in the periphery. For every successful response, the next stimulus is presented at a shorter duration after every successful response, and more slowly after errors.

Secondary outcome analyses demonstrated that for older adults, speed training reduced rates of driving cessation,²⁷ improved driving habits, and lowered the incidence of at-fault crashes²⁸ (based on motor vehicle records). Speed training also resulted in improvements in health-related quality of life,^29,30 depression,³¹ locus of control,³² and medical expenditures.³³ An analysis of 10-year outcomes³⁴ found that speed training was associated with a 29% reduction in risk of developing of dementia, while the other 2 interventions were not. However, despite these multiple areas of benefit, there was no evidence that new functional skills were acquired as a result of the training.^26-34

Functional skills training

While there is a long history of using functional skills training to help patients with schizophrenia, for healthy older people, there are considerably more challenges. First, aging is not a disease. Consequently, functional skills training is typically not covered by health insurance. Second, functional skills training delivered by a human trainer can be expensive and is not readily available. Finally, there are no real curricula for training functional skills, particularly those that are device-based (phone, tablet, or computer).

Recently, researchers have developed a functional skills assessment and training program that was originally piloted as a fixed difficulty simulation as described in 2 studies by Czaja et al.^2,3 The original assessment was used to compare healthy control individuals with people with mild cognitive impairment (MCI) or schizophrenia. Most recently, training modules for 6 different technology-based functional tasks have been developed and piloted in samples of healthy controls and patients with MCI in a randomized trial.³⁵ Half of the participants in each of the 2 groups were randomized to receive speed training similar to the ACTIVE study, and the other half received skills training alone. All participants were trained for 24 sessions over 12 weeks or until they mastered all 6 simulations.

Both patients with MCI and healthy controls improved in all 6 simulations. Although patients with MCI were considerably less efficient at baseline, their training gains per session were equivalent to that of healthy controls. Finally, concurrent cognitive training increased the efficiency of skills training. At the end of the study, functional gains were the same for people in both groups randomized to either condition, even though individuals in the combined cognitive and skills training interventions received only half as much skills training time.

Continue to: What to tell patients

What to tell patients

Older patients might ask their clinicians what they can do to “exercise their brain.” Let them know that CCT has been shown to improve cognitive performance in healthy older people, and that there are several evidence-based, commercially available products for this purpose. Two such self-administrable systems with supportive data are BrainHQ (www.brainhq.com) and Happy Neuron (www.happy-neuron.com). Explain that it is likely that the best strategy is a combination of cognitive and functional skills training. One commercially available functional skills training program with supportive data is i-Function (www.i-Function.com). (Editor’s note: One of the authors, PDH, is an employee of i-Function, Inc.)

Bottom Line

Clinicians should ensure older patients that they have the cognitive capacity to learn new technology-related functional skills, and that such patients have the opportunity to learn these skills. Clinicians need to be able to identify people who are at high risk of not being able to adhere to instructions and suggestions that require interactions with technology. Treatment options include computerized cognitive training and functional skills training.

Related Resources

• Hill NT, Mowszowski L, Naismith SL, et al. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and metaanalysis. Am J Psychiatry. 2017;174(4):329-340.
• Harvey PD, McGurk SR, Mahncke H, et al. Controversies in computerized cognitive training. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(11):907-915.

The mortality burden associated with dementia may be 2.7 times greater than estimated, according to an analysis of a prospective cohort study. This burden may be greatest among non-Hispanic black older adults, compared with Hispanic and non-Hispanic whites. This burden also is significantly greater among people with less than a high school education, compared with those with a college education.

The study results underscore the importance of broadening access to population-based interventions that focus on dementia prevention and care, the investigators wrote. “Future research could examine the extent to which deaths attributable to dementia and underestimation of dementia as an underlying cause of death on death certificates might have changed over time,” wrote Andrew C. Stokes, PhD, assistant professor of global health at the Boston University School of Public Health, and colleagues.

The study was published online Aug. 24 in JAMA Neurology.

In 2019, approximately 5.6 million adults in the United States who were aged 65 years or older had Alzheimer’s disease, vascular dementia, or mixed-cause dementia. A further 18.8% of Americans in this age group had cognitive impairment without dementia (CIND). About one third of patients with CIND may develop Alzheimer’s disease or related dementias (ADRD) within 5 years.

Research suggests that medical examiners significantly underreport ADRD on death certificates. One community-based study, for example, found that only 25% of deaths in patients with dementia had Alzheimer’s disease listed on the death certificates. Other research found that deaths in patients with dementia were often coded using more proximate causes, such as cardiovascular disease, sepsis, and pneumonia.
 

Health and retirement study

Dr. Stokes and colleagues examined data from the Health and Retirement Study (HRS) to evaluate the association of dementia and CIND with all-cause mortality. The HRS is a longitudinal cohort study of adults older than 50 years who live in the community. Its sample is nationally representative. The HRS investigators also initiated the Aging, Demographics, and Memory study to develop a procedure for assessing cognitive status in the HRS sample.

In their study, Dr. Stokes and colleagues included adults who had been sampled in the 2000 wave of HRS. They focused on participants between ages 70 and 99 years at baseline, and their final sample included 7,342 older adults. To identify dementia status, the researchers used the Langa–Weir score cutoff, which is based on tests of immediate and delayed recall of 10 words, a serial 7-second task, and a backward counting task. They also classified dementia status using the Herzog–Wallace, Wu, Hurd, and modified Hurd algorithms.

At baseline, the researchers measured age, sex, race or ethnicity, educational attainment, smoking status, self-reported disease diagnoses, and U.S. Census division as covariates. The National Center for Health Statistics linked HRS data with National Death Index records. These linked records include underlying cause of death and any mention of a condition or cause of death on the death certificate. The researchers compared the percentage of deaths attributable to ADRD according to a population attributable fraction estimate with the proportion of dementia-related deaths according to underlying causes and with any mention of dementia on death certificates.

The sample of 7,342 older adults included 4,348 (60.3%) women. Data for 1,030 (13.4%) people were reported by proxy. At baseline, most participants (64.0%) were between ages 70 and 79 years, 31% were between ages 80 and 89, and 5% were between ages 90 and 99 years. The prevalence of dementia in the complete sample was 14.3%, and the prevalence of CIND was 24.7%. The prevalence of dementia (22.4%) and CIND (29.3%) was higher among decedents than among the full population.

The hazard ratio (HR) for mortality was 2.53 among participants with dementia and 1.53 among patients with CIND. Although 13.6% of deaths were attributable to dementia, the proportion of deaths assigned to dementia as an underlying cause on death certificates was 5.0%. This discrepancy suggests that dementia is underreported by more than a factor of 2.7.

The mortality burden of dementia was 24.7% in non-Hispanic black older adults, 20.7% in Hispanic white participants, and 12.2% in non-Hispanic white participants. In addition, the mortality burden of dementia was significantly greater among participants with less than a high school education (16.2%) than among participants with a college education (9.8%).

The degree to which the underlying cause of death underestimated the mortality burden of dementia varied by sociodemographic characteristics, health status, and geography. The burden was underestimated by a factor of 7.1 among non-Hispanic black participants, a factor of 4.1 among Hispanic participants, and a factor of 2.3 among non-Hispanic white participants. The burden was underestimated by a factor of 3.5 in men and a factor of 2.4 in women. In addition, the burden was underestimated by a factor of 3.0 among participants with less than a high school education, by a factor of 2.3 among participants with a high school education, by a factor of 1.9 in participants with some college, and by a factor of 2.5 among participants with a college or higher education.

One of the study’s strengths was its population attributable fraction analysis, which reduced the risk of overestimating the mortality burden of dementia, Dr. Stokes and colleagues wrote. Examining CIND is valuable because of its high prevalence and consequent influence on outcomes in the population, even though CIND is associated with a lower mortality risk, they added. Nevertheless, the investigators were unable to assess mortality for dementia subtypes, and the classifications of dementia status and CIND may be subject to measurement error.
 

Underestimation is systematic

“This study is eye-opening in that it highlights the systematic underestimation of deaths attributable to dementia,” said Costantino Iadecola, MD, Anne Parrish Titzell professor of neurology and director and chair of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. The study’s main strength is that it is nationally representative, but the data must be confirmed in a larger population, he added.

The results will clarify the effect of dementia on mortality for neurologists, and geriatricians should be made aware of them, said Dr. Iadecola. “These data should be valuable to rationalize public health efforts and related funding decisions concerning research and community support.”

Further research could determine the mortality of dementia subgroups, “especially dementias linked to vascular factors in which prevention may be effective,” said Dr. Iadecola. “In the older population, vascular factors may play a more preeminent role, and it may help focus preventive approaches.”

The study was supported by a grant from the National Institute on Aging. Dr. Stokes received grants from Ethicon that were unrelated to this study. Dr. Iadecola serves on the scientific advisory board of Broadview Venture.

[email protected]

SOURCE: Stokes AC et al. JAMA Neurol. 2020 Aug 24. doi: 10.1001/jamaneurol.2020.2831.

The mortality burden associated with dementia may be 2.7 times greater than estimated, according to an analysis of a prospective cohort study. This burden may be greatest among non-Hispanic black older adults, compared with Hispanic and non-Hispanic whites. This burden also is significantly greater among people with less than a high school education, compared with those with a college education.

The study results underscore the importance of broadening access to population-based interventions that focus on dementia prevention and care, the investigators wrote. “Future research could examine the extent to which deaths attributable to dementia and underestimation of dementia as an underlying cause of death on death certificates might have changed over time,” wrote Andrew C. Stokes, PhD, assistant professor of global health at the Boston University School of Public Health, and colleagues.

The study was published online Aug. 24 in JAMA Neurology.

In 2019, approximately 5.6 million adults in the United States who were aged 65 years or older had Alzheimer’s disease, vascular dementia, or mixed-cause dementia. A further 18.8% of Americans in this age group had cognitive impairment without dementia (CIND). About one third of patients with CIND may develop Alzheimer’s disease or related dementias (ADRD) within 5 years.

Research suggests that medical examiners significantly underreport ADRD on death certificates. One community-based study, for example, found that only 25% of deaths in patients with dementia had Alzheimer’s disease listed on the death certificates. Other research found that deaths in patients with dementia were often coded using more proximate causes, such as cardiovascular disease, sepsis, and pneumonia.
 

Health and retirement study

Dr. Stokes and colleagues examined data from the Health and Retirement Study (HRS) to evaluate the association of dementia and CIND with all-cause mortality. The HRS is a longitudinal cohort study of adults older than 50 years who live in the community. Its sample is nationally representative. The HRS investigators also initiated the Aging, Demographics, and Memory study to develop a procedure for assessing cognitive status in the HRS sample.

In their study, Dr. Stokes and colleagues included adults who had been sampled in the 2000 wave of HRS. They focused on participants between ages 70 and 99 years at baseline, and their final sample included 7,342 older adults. To identify dementia status, the researchers used the Langa–Weir score cutoff, which is based on tests of immediate and delayed recall of 10 words, a serial 7-second task, and a backward counting task. They also classified dementia status using the Herzog–Wallace, Wu, Hurd, and modified Hurd algorithms.

At baseline, the researchers measured age, sex, race or ethnicity, educational attainment, smoking status, self-reported disease diagnoses, and U.S. Census division as covariates. The National Center for Health Statistics linked HRS data with National Death Index records. These linked records include underlying cause of death and any mention of a condition or cause of death on the death certificate. The researchers compared the percentage of deaths attributable to ADRD according to a population attributable fraction estimate with the proportion of dementia-related deaths according to underlying causes and with any mention of dementia on death certificates.

The sample of 7,342 older adults included 4,348 (60.3%) women. Data for 1,030 (13.4%) people were reported by proxy. At baseline, most participants (64.0%) were between ages 70 and 79 years, 31% were between ages 80 and 89, and 5% were between ages 90 and 99 years. The prevalence of dementia in the complete sample was 14.3%, and the prevalence of CIND was 24.7%. The prevalence of dementia (22.4%) and CIND (29.3%) was higher among decedents than among the full population.

The hazard ratio (HR) for mortality was 2.53 among participants with dementia and 1.53 among patients with CIND. Although 13.6% of deaths were attributable to dementia, the proportion of deaths assigned to dementia as an underlying cause on death certificates was 5.0%. This discrepancy suggests that dementia is underreported by more than a factor of 2.7.

The mortality burden of dementia was 24.7% in non-Hispanic black older adults, 20.7% in Hispanic white participants, and 12.2% in non-Hispanic white participants. In addition, the mortality burden of dementia was significantly greater among participants with less than a high school education (16.2%) than among participants with a college education (9.8%).

The degree to which the underlying cause of death underestimated the mortality burden of dementia varied by sociodemographic characteristics, health status, and geography. The burden was underestimated by a factor of 7.1 among non-Hispanic black participants, a factor of 4.1 among Hispanic participants, and a factor of 2.3 among non-Hispanic white participants. The burden was underestimated by a factor of 3.5 in men and a factor of 2.4 in women. In addition, the burden was underestimated by a factor of 3.0 among participants with less than a high school education, by a factor of 2.3 among participants with a high school education, by a factor of 1.9 in participants with some college, and by a factor of 2.5 among participants with a college or higher education.

One of the study’s strengths was its population attributable fraction analysis, which reduced the risk of overestimating the mortality burden of dementia, Dr. Stokes and colleagues wrote. Examining CIND is valuable because of its high prevalence and consequent influence on outcomes in the population, even though CIND is associated with a lower mortality risk, they added. Nevertheless, the investigators were unable to assess mortality for dementia subtypes, and the classifications of dementia status and CIND may be subject to measurement error.
 

Underestimation is systematic

“This study is eye-opening in that it highlights the systematic underestimation of deaths attributable to dementia,” said Costantino Iadecola, MD, Anne Parrish Titzell professor of neurology and director and chair of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. The study’s main strength is that it is nationally representative, but the data must be confirmed in a larger population, he added.

The results will clarify the effect of dementia on mortality for neurologists, and geriatricians should be made aware of them, said Dr. Iadecola. “These data should be valuable to rationalize public health efforts and related funding decisions concerning research and community support.”

Further research could determine the mortality of dementia subgroups, “especially dementias linked to vascular factors in which prevention may be effective,” said Dr. Iadecola. “In the older population, vascular factors may play a more preeminent role, and it may help focus preventive approaches.”

The study was supported by a grant from the National Institute on Aging. Dr. Stokes received grants from Ethicon that were unrelated to this study. Dr. Iadecola serves on the scientific advisory board of Broadview Venture.

[email protected]

SOURCE: Stokes AC et al. JAMA Neurol. 2020 Aug 24. doi: 10.1001/jamaneurol.2020.2831.

The mortality burden associated with dementia may be 2.7 times greater than estimated, according to an analysis of a prospective cohort study. This burden may be greatest among non-Hispanic black older adults, compared with Hispanic and non-Hispanic whites. This burden also is significantly greater among people with less than a high school education, compared with those with a college education.

The study results underscore the importance of broadening access to population-based interventions that focus on dementia prevention and care, the investigators wrote. “Future research could examine the extent to which deaths attributable to dementia and underestimation of dementia as an underlying cause of death on death certificates might have changed over time,” wrote Andrew C. Stokes, PhD, assistant professor of global health at the Boston University School of Public Health, and colleagues.

The study was published online Aug. 24 in JAMA Neurology.

In 2019, approximately 5.6 million adults in the United States who were aged 65 years or older had Alzheimer’s disease, vascular dementia, or mixed-cause dementia. A further 18.8% of Americans in this age group had cognitive impairment without dementia (CIND). About one third of patients with CIND may develop Alzheimer’s disease or related dementias (ADRD) within 5 years.

Research suggests that medical examiners significantly underreport ADRD on death certificates. One community-based study, for example, found that only 25% of deaths in patients with dementia had Alzheimer’s disease listed on the death certificates. Other research found that deaths in patients with dementia were often coded using more proximate causes, such as cardiovascular disease, sepsis, and pneumonia.
 

Health and retirement study

Dr. Stokes and colleagues examined data from the Health and Retirement Study (HRS) to evaluate the association of dementia and CIND with all-cause mortality. The HRS is a longitudinal cohort study of adults older than 50 years who live in the community. Its sample is nationally representative. The HRS investigators also initiated the Aging, Demographics, and Memory study to develop a procedure for assessing cognitive status in the HRS sample.

In their study, Dr. Stokes and colleagues included adults who had been sampled in the 2000 wave of HRS. They focused on participants between ages 70 and 99 years at baseline, and their final sample included 7,342 older adults. To identify dementia status, the researchers used the Langa–Weir score cutoff, which is based on tests of immediate and delayed recall of 10 words, a serial 7-second task, and a backward counting task. They also classified dementia status using the Herzog–Wallace, Wu, Hurd, and modified Hurd algorithms.

At baseline, the researchers measured age, sex, race or ethnicity, educational attainment, smoking status, self-reported disease diagnoses, and U.S. Census division as covariates. The National Center for Health Statistics linked HRS data with National Death Index records. These linked records include underlying cause of death and any mention of a condition or cause of death on the death certificate. The researchers compared the percentage of deaths attributable to ADRD according to a population attributable fraction estimate with the proportion of dementia-related deaths according to underlying causes and with any mention of dementia on death certificates.

The sample of 7,342 older adults included 4,348 (60.3%) women. Data for 1,030 (13.4%) people were reported by proxy. At baseline, most participants (64.0%) were between ages 70 and 79 years, 31% were between ages 80 and 89, and 5% were between ages 90 and 99 years. The prevalence of dementia in the complete sample was 14.3%, and the prevalence of CIND was 24.7%. The prevalence of dementia (22.4%) and CIND (29.3%) was higher among decedents than among the full population.

The hazard ratio (HR) for mortality was 2.53 among participants with dementia and 1.53 among patients with CIND. Although 13.6% of deaths were attributable to dementia, the proportion of deaths assigned to dementia as an underlying cause on death certificates was 5.0%. This discrepancy suggests that dementia is underreported by more than a factor of 2.7.

The mortality burden of dementia was 24.7% in non-Hispanic black older adults, 20.7% in Hispanic white participants, and 12.2% in non-Hispanic white participants. In addition, the mortality burden of dementia was significantly greater among participants with less than a high school education (16.2%) than among participants with a college education (9.8%).

The degree to which the underlying cause of death underestimated the mortality burden of dementia varied by sociodemographic characteristics, health status, and geography. The burden was underestimated by a factor of 7.1 among non-Hispanic black participants, a factor of 4.1 among Hispanic participants, and a factor of 2.3 among non-Hispanic white participants. The burden was underestimated by a factor of 3.5 in men and a factor of 2.4 in women. In addition, the burden was underestimated by a factor of 3.0 among participants with less than a high school education, by a factor of 2.3 among participants with a high school education, by a factor of 1.9 in participants with some college, and by a factor of 2.5 among participants with a college or higher education.

One of the study’s strengths was its population attributable fraction analysis, which reduced the risk of overestimating the mortality burden of dementia, Dr. Stokes and colleagues wrote. Examining CIND is valuable because of its high prevalence and consequent influence on outcomes in the population, even though CIND is associated with a lower mortality risk, they added. Nevertheless, the investigators were unable to assess mortality for dementia subtypes, and the classifications of dementia status and CIND may be subject to measurement error.
 

Underestimation is systematic

“This study is eye-opening in that it highlights the systematic underestimation of deaths attributable to dementia,” said Costantino Iadecola, MD, Anne Parrish Titzell professor of neurology and director and chair of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. The study’s main strength is that it is nationally representative, but the data must be confirmed in a larger population, he added.

The results will clarify the effect of dementia on mortality for neurologists, and geriatricians should be made aware of them, said Dr. Iadecola. “These data should be valuable to rationalize public health efforts and related funding decisions concerning research and community support.”

Further research could determine the mortality of dementia subgroups, “especially dementias linked to vascular factors in which prevention may be effective,” said Dr. Iadecola. “In the older population, vascular factors may play a more preeminent role, and it may help focus preventive approaches.”

The study was supported by a grant from the National Institute on Aging. Dr. Stokes received grants from Ethicon that were unrelated to this study. Dr. Iadecola serves on the scientific advisory board of Broadview Venture.

[email protected]

SOURCE: Stokes AC et al. JAMA Neurol. 2020 Aug 24. doi: 10.1001/jamaneurol.2020.2831.

The latest findings regarding the risk for atypical femur fracture (AFF) with use of bisphosphonates for osteoporosis show a significant increase in risk when treatment extends beyond 5 years. The risk is notably higher risk among Asian women, compared with White women. However, the benefits in fracture reduction still appear to far outweigh the risk for AFF.

The research, published in the New England Journal of Medicine, importantly adds to findings from smaller studies by showing effects in a population of nearly 200,000 women in a diverse cohort, said Angela M. Cheung, MD, PhD.

“This study answers some important questions – Kaiser Permanente Southern California is a large health maintenance organization with a diverse racial population,” said Dr. Cheung, director of the Center of Excellence in Skeletal Health Assessment and osteoporosis program at the University of Toronto.

“This is the first study that included a diverse population to definitively show that Asians are at a much higher risk of atypical femur fractures than Caucasians,” she emphasized.

Although AFFs are rare, concerns about them remain pressing in the treatment of osteoporosis, Dr. Cheung noted. “This is a big concern for clinicians – they want to do no harm.”
 

Risk for AFF increases with longer duration of bisphosphonate use

For the study, Dennis M. Black, PhD, of the departments of epidemiology and biostatistics and orthopedic surgery at the University of California, San Francisco, and colleagues identified women aged 50 years or older enrolled in the Kaiser Permanente Southern California system who were treated with bisphosphonates and were followed from January 2007 to November 2017.

Among the 196,129 women identified in the study, 277 AFFs occurred.

After multivariate adjustment, compared with those treated for less than 3 months, for women who were treated for 3-5 years, the hazard ratio for experiencing an AFF was 8.86. For therapy of 5-8 years, the HR increased to 19.88, and for those treated with bisphosphonates for 8 years or longer, the HR was 43.51.

The risk for AFF declined quickly upon bisphosphonate discontinuation; compared with current users, the HR dropped to 0.52 within 3-15 months after the last bisphosphonate use. It declined to 0.26 at more than 4 years after discontinuation.

The risk for AFF with bisphosphonate use was higher for Asian women than for White women (HR, 4.84); this did not apply to any other ethnic groups (HR, 0.99).

Other risk factors for AFF included shorter height (HR, 1.28 per 5-cm decrement), greater weight (HR, 1.15 per 5-kg increment), and glucocorticoid use (HR, 2.28 for glucocorticoid use of 1 or more years).

Among White women, the number of fractures prevented with bisphosphonate use far outweighed the risk for bisphosphonate-associated AFFs.

For example, among White women, during a 3-year treatment period, there were two bisphosphonate-associated AFFs, whereas 149 hip fractures and 541 clinical fractures were prevented, the authors wrote.

After 5 years, there were eight AFFs, but 286 hip fractures and 859 clinical fractures were prevented.

Although the risk-benefit ratio among Asian women still favored prevention of fractures, the difference was less pronounced – eight bisphosphonate-associated AFFs had occurred at 3 years, whereas 91 hip fractures and 330 clinical fractures were prevented.

The authors noted that previous studies have also shown Asian women to be at a disproportionately higher risk for AFF.

An earlier Kaiser Permanente Southern California case series showed that 49% of 142 AFFs occurred in Asian patients, despite the fact that those patients made up only 10% of the study population.

Various factors could cause higher risk in Asian women

The reasons for the increased risk among Asian women are likely multifactorial and could include greater medication adherence among Asian women, genetic differences in drug metabolism and bone turnover, and, notably, increased lateral stress caused by bowed Asian femora, the authors speculated.

Further questions include whether the risk is limited to Asians living outside of Asia and whether cultural differences in diet or physical activity are risk factors, they added.

“At this early stage, further research into the cause of the increased risk among women of Asian ancestry is warranted,” they wrote.

Although the risk for AFF may be higher among Asian women, the incidence of hip and other osteoporotic fractures is lower among Asians as well as other non-White persons, compared with White persons, they added.

The findings have important implications in how clinicians should discuss treatment options with different patient groups, Dr. Cheung said.

“I think this is one of the key findings of the study,” she added. “In this day and age of personalized medicine, we need to keep the individual patient in mind, and that includes their racial/ethnic background, genetic characteristics, sex, medical conditions and medications, etc. So it is important for physicians to pay attention to this. The risk-benefit ratio of these drugs for Asians will be quite different, compared to Caucasians.”
 

No link between traditional fracture risk factors and AFF, study shows

Interestingly, although older age, previous fractures, and lower bone mineral density are key risk factors for hip and other osteoporotic fractures in the general population, they do not significantly increase the risk for AFF with bisphosphonate use, the study also showed.

“In fact, the oldest women in our cohort, who are at highest risk for hip and other fractures, were at lowest risk for AFF,” the authors wrote.

The collective findings “add to the risk-benefit balance of bisphosphonate treatment in these populations and could directly affect decisions regarding treatment initiation and duration.”

Notable limitations of the study include the fact that most women were treated with one particular bisphosphonate, alendronate, and that other bisphosphonates were underrepresented, Dr. Cheung said.

“This study examined bisphosphonate therapy, but the vast majority of the women were exposed to alendronate, so whether women on risedronate or other bisphosphonates have similar risks is unclear,” she observed.

“In addition, because they can only capture bisphosphonate use using their database, any bisphosphonate exposure prior to joining Kaiser Permanente will not be captured. So the study may underestimate the total cumulative duration of bisphosphonate use,” she added.

The study received support from Kaiser Permanente and discretionary funds from the University of California, San Francisco. The study began with a pilot grant from Merck Sharp & Dohme, which had no role in the conduct of the study. Dr. Cheung has served as a consultant for Amgen. She chaired and led the 2019 International Society for Clinical Densitometry Position Development Conference on Detection of Atypical Femur Fractures and currently is on the Osteoporosis Canada Guidelines Committee.

A version of this article originally appeared on Medscape.com.

The latest findings regarding the risk for atypical femur fracture (AFF) with use of bisphosphonates for osteoporosis show a significant increase in risk when treatment extends beyond 5 years. The risk is notably higher risk among Asian women, compared with White women. However, the benefits in fracture reduction still appear to far outweigh the risk for AFF.

The research, published in the New England Journal of Medicine, importantly adds to findings from smaller studies by showing effects in a population of nearly 200,000 women in a diverse cohort, said Angela M. Cheung, MD, PhD.

“This study answers some important questions – Kaiser Permanente Southern California is a large health maintenance organization with a diverse racial population,” said Dr. Cheung, director of the Center of Excellence in Skeletal Health Assessment and osteoporosis program at the University of Toronto.

“This is the first study that included a diverse population to definitively show that Asians are at a much higher risk of atypical femur fractures than Caucasians,” she emphasized.

Although AFFs are rare, concerns about them remain pressing in the treatment of osteoporosis, Dr. Cheung noted. “This is a big concern for clinicians – they want to do no harm.”
 

Risk for AFF increases with longer duration of bisphosphonate use

For the study, Dennis M. Black, PhD, of the departments of epidemiology and biostatistics and orthopedic surgery at the University of California, San Francisco, and colleagues identified women aged 50 years or older enrolled in the Kaiser Permanente Southern California system who were treated with bisphosphonates and were followed from January 2007 to November 2017.

Among the 196,129 women identified in the study, 277 AFFs occurred.

After multivariate adjustment, compared with those treated for less than 3 months, for women who were treated for 3-5 years, the hazard ratio for experiencing an AFF was 8.86. For therapy of 5-8 years, the HR increased to 19.88, and for those treated with bisphosphonates for 8 years or longer, the HR was 43.51.

The risk for AFF declined quickly upon bisphosphonate discontinuation; compared with current users, the HR dropped to 0.52 within 3-15 months after the last bisphosphonate use. It declined to 0.26 at more than 4 years after discontinuation.

The risk for AFF with bisphosphonate use was higher for Asian women than for White women (HR, 4.84); this did not apply to any other ethnic groups (HR, 0.99).

Other risk factors for AFF included shorter height (HR, 1.28 per 5-cm decrement), greater weight (HR, 1.15 per 5-kg increment), and glucocorticoid use (HR, 2.28 for glucocorticoid use of 1 or more years).

Among White women, the number of fractures prevented with bisphosphonate use far outweighed the risk for bisphosphonate-associated AFFs.

For example, among White women, during a 3-year treatment period, there were two bisphosphonate-associated AFFs, whereas 149 hip fractures and 541 clinical fractures were prevented, the authors wrote.

After 5 years, there were eight AFFs, but 286 hip fractures and 859 clinical fractures were prevented.

Although the risk-benefit ratio among Asian women still favored prevention of fractures, the difference was less pronounced – eight bisphosphonate-associated AFFs had occurred at 3 years, whereas 91 hip fractures and 330 clinical fractures were prevented.

The authors noted that previous studies have also shown Asian women to be at a disproportionately higher risk for AFF.

An earlier Kaiser Permanente Southern California case series showed that 49% of 142 AFFs occurred in Asian patients, despite the fact that those patients made up only 10% of the study population.

Various factors could cause higher risk in Asian women

The reasons for the increased risk among Asian women are likely multifactorial and could include greater medication adherence among Asian women, genetic differences in drug metabolism and bone turnover, and, notably, increased lateral stress caused by bowed Asian femora, the authors speculated.

Further questions include whether the risk is limited to Asians living outside of Asia and whether cultural differences in diet or physical activity are risk factors, they added.

“At this early stage, further research into the cause of the increased risk among women of Asian ancestry is warranted,” they wrote.

Although the risk for AFF may be higher among Asian women, the incidence of hip and other osteoporotic fractures is lower among Asians as well as other non-White persons, compared with White persons, they added.

The findings have important implications in how clinicians should discuss treatment options with different patient groups, Dr. Cheung said.

“I think this is one of the key findings of the study,” she added. “In this day and age of personalized medicine, we need to keep the individual patient in mind, and that includes their racial/ethnic background, genetic characteristics, sex, medical conditions and medications, etc. So it is important for physicians to pay attention to this. The risk-benefit ratio of these drugs for Asians will be quite different, compared to Caucasians.”
 

No link between traditional fracture risk factors and AFF, study shows

Interestingly, although older age, previous fractures, and lower bone mineral density are key risk factors for hip and other osteoporotic fractures in the general population, they do not significantly increase the risk for AFF with bisphosphonate use, the study also showed.

“In fact, the oldest women in our cohort, who are at highest risk for hip and other fractures, were at lowest risk for AFF,” the authors wrote.

The collective findings “add to the risk-benefit balance of bisphosphonate treatment in these populations and could directly affect decisions regarding treatment initiation and duration.”

Notable limitations of the study include the fact that most women were treated with one particular bisphosphonate, alendronate, and that other bisphosphonates were underrepresented, Dr. Cheung said.

“This study examined bisphosphonate therapy, but the vast majority of the women were exposed to alendronate, so whether women on risedronate or other bisphosphonates have similar risks is unclear,” she observed.

“In addition, because they can only capture bisphosphonate use using their database, any bisphosphonate exposure prior to joining Kaiser Permanente will not be captured. So the study may underestimate the total cumulative duration of bisphosphonate use,” she added.

The study received support from Kaiser Permanente and discretionary funds from the University of California, San Francisco. The study began with a pilot grant from Merck Sharp & Dohme, which had no role in the conduct of the study. Dr. Cheung has served as a consultant for Amgen. She chaired and led the 2019 International Society for Clinical Densitometry Position Development Conference on Detection of Atypical Femur Fractures and currently is on the Osteoporosis Canada Guidelines Committee.

A version of this article originally appeared on Medscape.com.

The latest findings regarding the risk for atypical femur fracture (AFF) with use of bisphosphonates for osteoporosis show a significant increase in risk when treatment extends beyond 5 years. The risk is notably higher risk among Asian women, compared with White women. However, the benefits in fracture reduction still appear to far outweigh the risk for AFF.

The research, published in the New England Journal of Medicine, importantly adds to findings from smaller studies by showing effects in a population of nearly 200,000 women in a diverse cohort, said Angela M. Cheung, MD, PhD.

“This study answers some important questions – Kaiser Permanente Southern California is a large health maintenance organization with a diverse racial population,” said Dr. Cheung, director of the Center of Excellence in Skeletal Health Assessment and osteoporosis program at the University of Toronto.

“This is the first study that included a diverse population to definitively show that Asians are at a much higher risk of atypical femur fractures than Caucasians,” she emphasized.

Although AFFs are rare, concerns about them remain pressing in the treatment of osteoporosis, Dr. Cheung noted. “This is a big concern for clinicians – they want to do no harm.”
 

Risk for AFF increases with longer duration of bisphosphonate use

For the study, Dennis M. Black, PhD, of the departments of epidemiology and biostatistics and orthopedic surgery at the University of California, San Francisco, and colleagues identified women aged 50 years or older enrolled in the Kaiser Permanente Southern California system who were treated with bisphosphonates and were followed from January 2007 to November 2017.

Among the 196,129 women identified in the study, 277 AFFs occurred.

After multivariate adjustment, compared with those treated for less than 3 months, for women who were treated for 3-5 years, the hazard ratio for experiencing an AFF was 8.86. For therapy of 5-8 years, the HR increased to 19.88, and for those treated with bisphosphonates for 8 years or longer, the HR was 43.51.

The risk for AFF declined quickly upon bisphosphonate discontinuation; compared with current users, the HR dropped to 0.52 within 3-15 months after the last bisphosphonate use. It declined to 0.26 at more than 4 years after discontinuation.

The risk for AFF with bisphosphonate use was higher for Asian women than for White women (HR, 4.84); this did not apply to any other ethnic groups (HR, 0.99).

Other risk factors for AFF included shorter height (HR, 1.28 per 5-cm decrement), greater weight (HR, 1.15 per 5-kg increment), and glucocorticoid use (HR, 2.28 for glucocorticoid use of 1 or more years).

Among White women, the number of fractures prevented with bisphosphonate use far outweighed the risk for bisphosphonate-associated AFFs.

For example, among White women, during a 3-year treatment period, there were two bisphosphonate-associated AFFs, whereas 149 hip fractures and 541 clinical fractures were prevented, the authors wrote.

After 5 years, there were eight AFFs, but 286 hip fractures and 859 clinical fractures were prevented.

Although the risk-benefit ratio among Asian women still favored prevention of fractures, the difference was less pronounced – eight bisphosphonate-associated AFFs had occurred at 3 years, whereas 91 hip fractures and 330 clinical fractures were prevented.

The authors noted that previous studies have also shown Asian women to be at a disproportionately higher risk for AFF.

An earlier Kaiser Permanente Southern California case series showed that 49% of 142 AFFs occurred in Asian patients, despite the fact that those patients made up only 10% of the study population.

Various factors could cause higher risk in Asian women

The reasons for the increased risk among Asian women are likely multifactorial and could include greater medication adherence among Asian women, genetic differences in drug metabolism and bone turnover, and, notably, increased lateral stress caused by bowed Asian femora, the authors speculated.

Further questions include whether the risk is limited to Asians living outside of Asia and whether cultural differences in diet or physical activity are risk factors, they added.

“At this early stage, further research into the cause of the increased risk among women of Asian ancestry is warranted,” they wrote.

Although the risk for AFF may be higher among Asian women, the incidence of hip and other osteoporotic fractures is lower among Asians as well as other non-White persons, compared with White persons, they added.

The findings have important implications in how clinicians should discuss treatment options with different patient groups, Dr. Cheung said.

“I think this is one of the key findings of the study,” she added. “In this day and age of personalized medicine, we need to keep the individual patient in mind, and that includes their racial/ethnic background, genetic characteristics, sex, medical conditions and medications, etc. So it is important for physicians to pay attention to this. The risk-benefit ratio of these drugs for Asians will be quite different, compared to Caucasians.”
 

No link between traditional fracture risk factors and AFF, study shows

Interestingly, although older age, previous fractures, and lower bone mineral density are key risk factors for hip and other osteoporotic fractures in the general population, they do not significantly increase the risk for AFF with bisphosphonate use, the study also showed.

“In fact, the oldest women in our cohort, who are at highest risk for hip and other fractures, were at lowest risk for AFF,” the authors wrote.

The collective findings “add to the risk-benefit balance of bisphosphonate treatment in these populations and could directly affect decisions regarding treatment initiation and duration.”

Notable limitations of the study include the fact that most women were treated with one particular bisphosphonate, alendronate, and that other bisphosphonates were underrepresented, Dr. Cheung said.

“This study examined bisphosphonate therapy, but the vast majority of the women were exposed to alendronate, so whether women on risedronate or other bisphosphonates have similar risks is unclear,” she observed.

“In addition, because they can only capture bisphosphonate use using their database, any bisphosphonate exposure prior to joining Kaiser Permanente will not be captured. So the study may underestimate the total cumulative duration of bisphosphonate use,” she added.

The study received support from Kaiser Permanente and discretionary funds from the University of California, San Francisco. The study began with a pilot grant from Merck Sharp & Dohme, which had no role in the conduct of the study. Dr. Cheung has served as a consultant for Amgen. She chaired and led the 2019 International Society for Clinical Densitometry Position Development Conference on Detection of Atypical Femur Fractures and currently is on the Osteoporosis Canada Guidelines Committee.

A version of this article originally appeared on Medscape.com.

During the pandemic, physicians have raced to set up or expand telemedicine, uncovering both advantages and shortcomings. Now experts have developed a checklist of more than a dozen ideas to facilitate effective virtual visits with older adults.

Although many of the suggestions, published online in Annals of Internal Medicine, are useful for all patients, Carrie Nieman, MD, MPH, and Esther S. Oh, MD, PhD, developed the list with older patients in mind.

“I have a number of patients into their 90s and with hearing loss, and we have had very successful video-based telemedicine visits,” Dr. Nieman, with the Cochlear Center for Hearing and Public Health at Johns Hopkins Bloomberg School of Public Health in Baltimore said in an interview. “Age should not be considered synonymous with inability or unwillingness to use technology.”

Their recommendations included the following:

• Assume some degree of hearing loss, which affects about two-thirds of adults aged 70 years and older.
• Ask patients to wear headphones or a headset or confirm that they are wearing their hearing aids and are in a quiet location.
• Use a headset.
• When possible, use video and have the camera focused on your face.
• Use captioning when available and provide a written summary of key points and instructions.
• Pay attention to cues, such as nodding along or looking to a loved one, that suggest a patient may not be following the conversation.

“If cognitive impairment is suspected, several screening tools can be used over the telephone to identify individuals who may need more comprehensive, in-person assessment,” wrote Dr. Nieman and Dr. Oh, who is with the division of geriatric medicine and gerontology at Johns Hopkins University School of Medicine. For example, data suggest that a modified version of the Mini–Mental State Examination and the Delirium Symptom Interview could be useful tools. “A formal diagnosis of dementia is not recommended solely based on a telephone-based cognitive screening,” however, Dr. Nieman and Dr. Oh said.

For patients with hearing loss, video visits avoid a current limitation of in-person visits: face masks that hinder patients’ ability to read lips and other visual cues. “For many of us, we rely on these types of cues more than we think,” Dr. Nieman said in an interview.

“When you have doubts about whether you and your patient are on the same page, check in with the patient,” Dr. Nieman said. “When appropriate, having a loved one or a care partner join an encounter, or at least a portion of the encounter, can be helpful to both the patient and the provider.”

Many older patients unprepared

Millions of older patients may not have been ready for the rapid shift to telemedicine brought on by COVID-19, a recent study in JAMA Internal Medicine suggests. Between 32% and 38% of older adults in the United States may not have been ready for video visits, largely because of inexperience with technology. Approximately 20% could have difficulty with telephone visits because of problems hearing or communicating or because of dementia.

Kenneth Lam, MD, of the division of geriatrics at the University of California, San Francisco (UCSF), and colleagues arrived at these estimates after analyzing data from more than 4,500 participants in the National Health and Aging Trends Study that was conducted in 2018. The study is nationally representative of Medicare beneficiaries 65 years or older.

The aim of the study “was to call attention to what clinicians were already experiencing on the front lines,” Dr. Lam said. In an interview, he imagined two scenarios based on his colleagues’ accounts of telemedicine visits.

In one case, a 72-year-old woman logs into Zoom Health on her iPad without any trouble. “She explains she just pushed on the URL and everything loaded up and you have a great visit,” Dr. Lam said. “This is likely to be the case for over 50% of the older people you see; I share this picture to combat ageism, which is, truthfully, just inaccurate stereotyping of older people and gets in the way of actionable, data-driven policies.

“However, for around one in three older adults (and closer to three out of every four of those over the age of 85), you will book an appointment and they will say they don’t have an email address or a computer or know how to go online,” Dr. Lam said. “Or suppose they decide to try it out. ... Come appointment time, you log on and they pick up, but now their sound doesn’t work. They keep saying they can see you but they can’t hear you. ... They accidentally hang up. You place another call, and they ask if you can switch to a phone conversation instead.”

By phone, the physician can address concerns about the patient’s blood pressure, which the patient has been measuring daily. “But when it comes to looking at the swelling in their legs, you’re out of luck, and you’ve been on this call for 45 minutes,” Dr. Lam said.

Have a backup plan

Making sure patients are prepared and having a backup plan can help, said Kaitlin Willham, MD, of UCSF and the San Francisco VA Medical Center.

She says older patients fall into a wide range of categories in terms of skills and access to equipment. Knowing which category a patient falls into and having relevant support available to troubleshoot are important.

During the pandemic, Dr. Willham has conducted many more telemedicine visits with patients who are at their place of residence, whether a private home or a residential care facility. “Even outside of the current crisis, there are benefits to home video visits,” Dr. Willham said. “A home video visit can provide a more holistic view of the patient than an office visit, allowing the clinician to see how the person lives, what they might be challenged by. It allows the clinician to identify areas of intervention and, if there is a care partner, involving that person in the plan. If the visit starts without major technical or communication barriers, they are generally very well received.”

For patients with problems hearing for whom headphones or amplification devices are not available, “using a landline for the audio portion of the visit can help, as can having someone with the patient reiterate what was said,” Dr. Willham suggested. “Many video platforms also enable the clinician to type messages or share a screen with a live document. These options can work well when there is very severe or complete lack of hearing.”

Sometimes an in-person visit is the right way to go, even when technical hurdles can be overcome.

“Although many older adults are willing and able to learn to use telemedicine, an equitable health system should recognize that for some, such as those with dementia and social isolation, in-person visits are already difficult and telemedicine may be impossible,” Dr. Lam and coauthors wrote. “For these patients, clinics and geriatric models of care such as home visits are essential.”

Dr. Nieman, Dr. Oh, and one of Dr. Lam’s coauthors have received funding from the National Institutes of Health. Dr. Oh also has received funding from the Roberts Family Fund. Dr. Nieman serves as a board member of the nonprofit organization Access HEARS and is on the board of trustees of the Hearing Loss Association of America.
 

A version of this article originally appeared on Medscape.com.

During the pandemic, physicians have raced to set up or expand telemedicine, uncovering both advantages and shortcomings. Now experts have developed a checklist of more than a dozen ideas to facilitate effective virtual visits with older adults.

Although many of the suggestions, published online in Annals of Internal Medicine, are useful for all patients, Carrie Nieman, MD, MPH, and Esther S. Oh, MD, PhD, developed the list with older patients in mind.

“I have a number of patients into their 90s and with hearing loss, and we have had very successful video-based telemedicine visits,” Dr. Nieman, with the Cochlear Center for Hearing and Public Health at Johns Hopkins Bloomberg School of Public Health in Baltimore said in an interview. “Age should not be considered synonymous with inability or unwillingness to use technology.”

Their recommendations included the following:

• Assume some degree of hearing loss, which affects about two-thirds of adults aged 70 years and older.
• Ask patients to wear headphones or a headset or confirm that they are wearing their hearing aids and are in a quiet location.
• Use a headset.
• When possible, use video and have the camera focused on your face.
• Use captioning when available and provide a written summary of key points and instructions.
• Pay attention to cues, such as nodding along or looking to a loved one, that suggest a patient may not be following the conversation.

“If cognitive impairment is suspected, several screening tools can be used over the telephone to identify individuals who may need more comprehensive, in-person assessment,” wrote Dr. Nieman and Dr. Oh, who is with the division of geriatric medicine and gerontology at Johns Hopkins University School of Medicine. For example, data suggest that a modified version of the Mini–Mental State Examination and the Delirium Symptom Interview could be useful tools. “A formal diagnosis of dementia is not recommended solely based on a telephone-based cognitive screening,” however, Dr. Nieman and Dr. Oh said.

For patients with hearing loss, video visits avoid a current limitation of in-person visits: face masks that hinder patients’ ability to read lips and other visual cues. “For many of us, we rely on these types of cues more than we think,” Dr. Nieman said in an interview.

“When you have doubts about whether you and your patient are on the same page, check in with the patient,” Dr. Nieman said. “When appropriate, having a loved one or a care partner join an encounter, or at least a portion of the encounter, can be helpful to both the patient and the provider.”

Many older patients unprepared

Millions of older patients may not have been ready for the rapid shift to telemedicine brought on by COVID-19, a recent study in JAMA Internal Medicine suggests. Between 32% and 38% of older adults in the United States may not have been ready for video visits, largely because of inexperience with technology. Approximately 20% could have difficulty with telephone visits because of problems hearing or communicating or because of dementia.

Kenneth Lam, MD, of the division of geriatrics at the University of California, San Francisco (UCSF), and colleagues arrived at these estimates after analyzing data from more than 4,500 participants in the National Health and Aging Trends Study that was conducted in 2018. The study is nationally representative of Medicare beneficiaries 65 years or older.

The aim of the study “was to call attention to what clinicians were already experiencing on the front lines,” Dr. Lam said. In an interview, he imagined two scenarios based on his colleagues’ accounts of telemedicine visits.

In one case, a 72-year-old woman logs into Zoom Health on her iPad without any trouble. “She explains she just pushed on the URL and everything loaded up and you have a great visit,” Dr. Lam said. “This is likely to be the case for over 50% of the older people you see; I share this picture to combat ageism, which is, truthfully, just inaccurate stereotyping of older people and gets in the way of actionable, data-driven policies.

“However, for around one in three older adults (and closer to three out of every four of those over the age of 85), you will book an appointment and they will say they don’t have an email address or a computer or know how to go online,” Dr. Lam said. “Or suppose they decide to try it out. ... Come appointment time, you log on and they pick up, but now their sound doesn’t work. They keep saying they can see you but they can’t hear you. ... They accidentally hang up. You place another call, and they ask if you can switch to a phone conversation instead.”

By phone, the physician can address concerns about the patient’s blood pressure, which the patient has been measuring daily. “But when it comes to looking at the swelling in their legs, you’re out of luck, and you’ve been on this call for 45 minutes,” Dr. Lam said.

Have a backup plan

Making sure patients are prepared and having a backup plan can help, said Kaitlin Willham, MD, of UCSF and the San Francisco VA Medical Center.

She says older patients fall into a wide range of categories in terms of skills and access to equipment. Knowing which category a patient falls into and having relevant support available to troubleshoot are important.

During the pandemic, Dr. Willham has conducted many more telemedicine visits with patients who are at their place of residence, whether a private home or a residential care facility. “Even outside of the current crisis, there are benefits to home video visits,” Dr. Willham said. “A home video visit can provide a more holistic view of the patient than an office visit, allowing the clinician to see how the person lives, what they might be challenged by. It allows the clinician to identify areas of intervention and, if there is a care partner, involving that person in the plan. If the visit starts without major technical or communication barriers, they are generally very well received.”

For patients with problems hearing for whom headphones or amplification devices are not available, “using a landline for the audio portion of the visit can help, as can having someone with the patient reiterate what was said,” Dr. Willham suggested. “Many video platforms also enable the clinician to type messages or share a screen with a live document. These options can work well when there is very severe or complete lack of hearing.”

Sometimes an in-person visit is the right way to go, even when technical hurdles can be overcome.

“Although many older adults are willing and able to learn to use telemedicine, an equitable health system should recognize that for some, such as those with dementia and social isolation, in-person visits are already difficult and telemedicine may be impossible,” Dr. Lam and coauthors wrote. “For these patients, clinics and geriatric models of care such as home visits are essential.”

Dr. Nieman, Dr. Oh, and one of Dr. Lam’s coauthors have received funding from the National Institutes of Health. Dr. Oh also has received funding from the Roberts Family Fund. Dr. Nieman serves as a board member of the nonprofit organization Access HEARS and is on the board of trustees of the Hearing Loss Association of America.
 

A version of this article originally appeared on Medscape.com.

During the pandemic, physicians have raced to set up or expand telemedicine, uncovering both advantages and shortcomings. Now experts have developed a checklist of more than a dozen ideas to facilitate effective virtual visits with older adults.

Although many of the suggestions, published online in Annals of Internal Medicine, are useful for all patients, Carrie Nieman, MD, MPH, and Esther S. Oh, MD, PhD, developed the list with older patients in mind.

“I have a number of patients into their 90s and with hearing loss, and we have had very successful video-based telemedicine visits,” Dr. Nieman, with the Cochlear Center for Hearing and Public Health at Johns Hopkins Bloomberg School of Public Health in Baltimore said in an interview. “Age should not be considered synonymous with inability or unwillingness to use technology.”

Their recommendations included the following:

• Assume some degree of hearing loss, which affects about two-thirds of adults aged 70 years and older.
• Ask patients to wear headphones or a headset or confirm that they are wearing their hearing aids and are in a quiet location.
• Use a headset.
• When possible, use video and have the camera focused on your face.
• Use captioning when available and provide a written summary of key points and instructions.
• Pay attention to cues, such as nodding along or looking to a loved one, that suggest a patient may not be following the conversation.

“If cognitive impairment is suspected, several screening tools can be used over the telephone to identify individuals who may need more comprehensive, in-person assessment,” wrote Dr. Nieman and Dr. Oh, who is with the division of geriatric medicine and gerontology at Johns Hopkins University School of Medicine. For example, data suggest that a modified version of the Mini–Mental State Examination and the Delirium Symptom Interview could be useful tools. “A formal diagnosis of dementia is not recommended solely based on a telephone-based cognitive screening,” however, Dr. Nieman and Dr. Oh said.

For patients with hearing loss, video visits avoid a current limitation of in-person visits: face masks that hinder patients’ ability to read lips and other visual cues. “For many of us, we rely on these types of cues more than we think,” Dr. Nieman said in an interview.

“When you have doubts about whether you and your patient are on the same page, check in with the patient,” Dr. Nieman said. “When appropriate, having a loved one or a care partner join an encounter, or at least a portion of the encounter, can be helpful to both the patient and the provider.”

Many older patients unprepared

Millions of older patients may not have been ready for the rapid shift to telemedicine brought on by COVID-19, a recent study in JAMA Internal Medicine suggests. Between 32% and 38% of older adults in the United States may not have been ready for video visits, largely because of inexperience with technology. Approximately 20% could have difficulty with telephone visits because of problems hearing or communicating or because of dementia.

Kenneth Lam, MD, of the division of geriatrics at the University of California, San Francisco (UCSF), and colleagues arrived at these estimates after analyzing data from more than 4,500 participants in the National Health and Aging Trends Study that was conducted in 2018. The study is nationally representative of Medicare beneficiaries 65 years or older.

The aim of the study “was to call attention to what clinicians were already experiencing on the front lines,” Dr. Lam said. In an interview, he imagined two scenarios based on his colleagues’ accounts of telemedicine visits.

In one case, a 72-year-old woman logs into Zoom Health on her iPad without any trouble. “She explains she just pushed on the URL and everything loaded up and you have a great visit,” Dr. Lam said. “This is likely to be the case for over 50% of the older people you see; I share this picture to combat ageism, which is, truthfully, just inaccurate stereotyping of older people and gets in the way of actionable, data-driven policies.

“However, for around one in three older adults (and closer to three out of every four of those over the age of 85), you will book an appointment and they will say they don’t have an email address or a computer or know how to go online,” Dr. Lam said. “Or suppose they decide to try it out. ... Come appointment time, you log on and they pick up, but now their sound doesn’t work. They keep saying they can see you but they can’t hear you. ... They accidentally hang up. You place another call, and they ask if you can switch to a phone conversation instead.”

By phone, the physician can address concerns about the patient’s blood pressure, which the patient has been measuring daily. “But when it comes to looking at the swelling in their legs, you’re out of luck, and you’ve been on this call for 45 minutes,” Dr. Lam said.

Have a backup plan

Making sure patients are prepared and having a backup plan can help, said Kaitlin Willham, MD, of UCSF and the San Francisco VA Medical Center.

She says older patients fall into a wide range of categories in terms of skills and access to equipment. Knowing which category a patient falls into and having relevant support available to troubleshoot are important.

During the pandemic, Dr. Willham has conducted many more telemedicine visits with patients who are at their place of residence, whether a private home or a residential care facility. “Even outside of the current crisis, there are benefits to home video visits,” Dr. Willham said. “A home video visit can provide a more holistic view of the patient than an office visit, allowing the clinician to see how the person lives, what they might be challenged by. It allows the clinician to identify areas of intervention and, if there is a care partner, involving that person in the plan. If the visit starts without major technical or communication barriers, they are generally very well received.”

For patients with problems hearing for whom headphones or amplification devices are not available, “using a landline for the audio portion of the visit can help, as can having someone with the patient reiterate what was said,” Dr. Willham suggested. “Many video platforms also enable the clinician to type messages or share a screen with a live document. These options can work well when there is very severe or complete lack of hearing.”

Sometimes an in-person visit is the right way to go, even when technical hurdles can be overcome.

“Although many older adults are willing and able to learn to use telemedicine, an equitable health system should recognize that for some, such as those with dementia and social isolation, in-person visits are already difficult and telemedicine may be impossible,” Dr. Lam and coauthors wrote. “For these patients, clinics and geriatric models of care such as home visits are essential.”

Dr. Nieman, Dr. Oh, and one of Dr. Lam’s coauthors have received funding from the National Institutes of Health. Dr. Oh also has received funding from the Roberts Family Fund. Dr. Nieman serves as a board member of the nonprofit organization Access HEARS and is on the board of trustees of the Hearing Loss Association of America.
 

A version of this article originally appeared on Medscape.com.

A poor combined score on tests of hearing, vision, smell, and touch is associated with a higher risk for dementia and cognitive decline among older adults, new research suggests. The study, which included almost 1,800 participants, adds to emerging evidence that even mild levels of multisensory impairment are associated with accelerated cognitive aging, the researchers noted.

Clinicians should be aware of this link between sensory impairment and dementia risk, said lead author Willa Brenowitz, PhD, assistant professor, department of psychiatry and behavioral sciences, University of California, San Francisco. “Many of these impairments are treatable, or at least physicians can monitor them; and this can improve quality of life, even if it doesn’t improve dementia risk.”

The findings were published online July 12 in Alzheimer’s and Dementia.
 

Additive effects

Previous research has focused on the link between dementia and individual senses, but this new work is unique in that it focuses on the additive effects of multiple impairments in sensory function, said Dr. Brenowitz. The study included 1,794 dementia-free participants in their 70s from the Health, Aging and Body Composition study, a prospective cohort study of healthy Black and White men and women.

Researchers tested participants’ hearing using a pure tone average without hearing aids and vision using contrast sensitivity with glasses permitted. They also measured vibrations in the big toe to assess touch and had participants identify distinctive odors such as paint thinner, roses, lemons, and onions to assess smell.

A score of 0-3 was assigned based on sample quartiles for each of the four sensory functions. Individuals with the best quartile were assigned a score of 0 and those with the worst were assigned a score of 3.

The investigators added scores across all senses to create a summary score of multisensory function (0-12) and classified the participants into tertiles of good, medium, and poor. Individuals with a score of 0 would have good function in all senses, whereas those with 12 would have poor function in all senses. Those with medium scores could have a mix of impairments.

Participants with good multisensory function were more likely to be healthier than those with poor function. They were also significantly more likely to have completed high school (85.0% vs. 72.1%), were significantly less likely to have diabetes (16.9% vs. 27.9%), and were marginally less likely to have cardiovascular disease, high blood pressure, and history of stroke.

Investigators measured cognition using the Modified Mini-Mental State (3MS) examination, a test of global cognitive function, and the Digit Symbol Substitution Test (DSST), a measure of cognitive processing speed. Cognitive testing was carried out at the beginning of the study and repeated every other year.

Dementia was defined as the use of dementia medication, being hospitalized with dementia as a primary or secondary diagnosis, or having a 3MS score 1.5 standard deviations lower than the race-stratified Health ABC study baseline mean.

Over an average follow-up of 6.3 years, 18% of participants developed dementia.
 

Dose-response increase

Results showed that, with worsening multisensory function score, the risk for dementia increased in a dose-response manner. In models adjusted for demographics and health conditions, participants with a poor multisensory function score were more than twice as likely to develop dementia than those with a good score (hazard ratio, 2.05; 95% confidence interval, 1.50-2.81; P < .001). Those with a middle multisensory function score were 1.45 times more likely to develop dementia (HR, 1.45; 95% CI, 1.09-1.91; P < .001).

Even a 1-point worse multisensory function score was associated with a 14% higher risk for dementia (95% CI, 8%-21%), while a 4-point worse score was associated with 71% higher risk for dementia (95% CI, 38%-211%).

Smell was the sensory function most strongly associated with dementia risk. Participants whose sense of smell declined by 10% had a 19% higher risk for dementia versus a 1%-3% higher risk for declines in vision, hearing, and touch.

It is not clear why smell was a stronger determinant of dementia risk. However, loss of this sense is often considered to be a marker for Alzheimer’s disease “because it is closely linked with brain regions that are affected” in that disease, said Dr. Brenowitz.

However, that does not necessarily mean smell is more important than vision or hearing, she added. “Even if hearing and vision have a smaller contribution to dementia, they have a stronger potential for intervention.” The findings suggest “some additive or cumulative” effects for loss of the different senses. “There’s an association above and beyond those which can be attributed to individual sensory domains,” she said.
 

Frailty link

After including mobility, which is a potential mediator, estimates for the multisensory function score were slightly lower. “Walking speed is pretty strongly associated with dementia risk,” Dr. Brenowitz noted. Physical frailty might help explain the link between sensory impairment and dementia risk. “It’s not clear if that’s because people with dementia are declining or because people with frailty are especially vulnerable to dementia,” she said.

The researchers also assessed the role of social support, another potential mechanism by which sensory decline, especially in hearing and vision, could influence dementia risk. Although the study did not find substantial differences in social support measures, the investigators noted that questions assessing social support were limited in scope.

Interactions between multisensory function score and race, APOE e4 allele status, and sex were not significant.

Worsening multisensory function was also linked to faster annual rates of cognitive decline as measured by both the 3MS and DSST. Each 1-point worse score was associated with faster decline (P < .05), even after adjustment for demographics and health conditions.
 

Possible mechanisms

A number of possible mechanisms may explain the link between poor sensory function and dementia. It could be that neurodegeneration underlying dementia affects the senses, or vision and/or hearing loss leads to social isolation and poor mental health, which in turn could affect dementia risk, the researchers wrote. It also is possible that cardiovascular disease or diabetes affect both dementia risk and sensory impairment.

Dr. Brenowitz noted that, because cognitive tests rely on a certain degree of vision and hearing, impairment of these senses may complicate such tests. Still to be determined is whether correcting sensory impairments, such as wearing corrective lenses or hearing aids, affects dementia risk.

Meanwhile, it might be a good idea to more regularly check sensory function, especially vision and hearing, the researchers suggested. These functions affect various aspects of health and can be assessed rather easily. However, because smell is so strongly associated with dementia risk, Dr. Brenowitz said she would like to see it also become “part of a screening tool.”

A possible study limitation cited was that the researchers checked sensory function only once. “Most likely, some of these would change over time, but at least it captured sensory function at one point,” Dr. Brenowitz said.
 

“Sheds further light”

Commenting on the study, Jo V. Rushworth, PhD, associate professor and national teaching fellow, De Montfort University Leicester (England), said it “sheds further light on the emerging links” between multisensory impairment and cognitive decline leading to dementia. “The authors show that people with even mild loss of function in various senses are more likely to develop cognitive impairment.”

Dr. Rushworth was not involved with the study but has done research in the area.

The current results suggest that measuring patients’ hearing, vision, sense of smell, and touch might “flag at-risk groups” who could be targeted for dementia prevention strategies, Dr. Rushworth noted. Such tests are noninvasive and potentially less distressing than other methods of diagnosing dementia. “Importantly, the relatively low cost and simplicity of sensory tests offer the potential for more frequent testing and the use of these methods in areas of the world where medical facilities and resources are limited.”

This new study raises the question of whether the observed sensory impairments are a cause or an effect of dementia, Dr. Rushworth noted. “As the authors suggest, decreased sensory function can lead to a decrease in social engagement, mobility, and other factors which would usually contribute to counteracting cognitive decline.”

The study raises other questions, too, said Dr. Rushworth. She noted that the participants who experienced more severe sensory impairments were, on average, 2 years older than those with the least impairments. “To what degree were the observed sensory deficits linked to normal aging rather than dementia?”

As well, Dr. Rushworth pointed out that the molecular mechanisms that “kick-start” dementia are believed to occur in midlife – so possibly at an age younger than the study participants. “Do younger people of a ‘predementia’ age range display multisensory impairments?”

Because study participants could wear glasses during vision tests but were not allowed to wear hearing aids for the hearing tests, further standardization of sensory impairment is required, Dr. Rushworth said.

“Future studies will be essential in determining the value of clinical measurement of multisensory impairment as a possible dementia indicator and prevention strategy,” she concluded.

The study was funded by the National Institute on Aging, the National Institute of Nursing Research, and the Alzheimer’s Association. Dr. Brenowitz and Dr. Rushworth have reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

A poor combined score on tests of hearing, vision, smell, and touch is associated with a higher risk for dementia and cognitive decline among older adults, new research suggests. The study, which included almost 1,800 participants, adds to emerging evidence that even mild levels of multisensory impairment are associated with accelerated cognitive aging, the researchers noted.

Clinicians should be aware of this link between sensory impairment and dementia risk, said lead author Willa Brenowitz, PhD, assistant professor, department of psychiatry and behavioral sciences, University of California, San Francisco. “Many of these impairments are treatable, or at least physicians can monitor them; and this can improve quality of life, even if it doesn’t improve dementia risk.”

The findings were published online July 12 in Alzheimer’s and Dementia.
 

Additive effects

Previous research has focused on the link between dementia and individual senses, but this new work is unique in that it focuses on the additive effects of multiple impairments in sensory function, said Dr. Brenowitz. The study included 1,794 dementia-free participants in their 70s from the Health, Aging and Body Composition study, a prospective cohort study of healthy Black and White men and women.

Researchers tested participants’ hearing using a pure tone average without hearing aids and vision using contrast sensitivity with glasses permitted. They also measured vibrations in the big toe to assess touch and had participants identify distinctive odors such as paint thinner, roses, lemons, and onions to assess smell.

A score of 0-3 was assigned based on sample quartiles for each of the four sensory functions. Individuals with the best quartile were assigned a score of 0 and those with the worst were assigned a score of 3.

The investigators added scores across all senses to create a summary score of multisensory function (0-12) and classified the participants into tertiles of good, medium, and poor. Individuals with a score of 0 would have good function in all senses, whereas those with 12 would have poor function in all senses. Those with medium scores could have a mix of impairments.

Participants with good multisensory function were more likely to be healthier than those with poor function. They were also significantly more likely to have completed high school (85.0% vs. 72.1%), were significantly less likely to have diabetes (16.9% vs. 27.9%), and were marginally less likely to have cardiovascular disease, high blood pressure, and history of stroke.

Investigators measured cognition using the Modified Mini-Mental State (3MS) examination, a test of global cognitive function, and the Digit Symbol Substitution Test (DSST), a measure of cognitive processing speed. Cognitive testing was carried out at the beginning of the study and repeated every other year.

Dementia was defined as the use of dementia medication, being hospitalized with dementia as a primary or secondary diagnosis, or having a 3MS score 1.5 standard deviations lower than the race-stratified Health ABC study baseline mean.

Over an average follow-up of 6.3 years, 18% of participants developed dementia.
 

Dose-response increase

Results showed that, with worsening multisensory function score, the risk for dementia increased in a dose-response manner. In models adjusted for demographics and health conditions, participants with a poor multisensory function score were more than twice as likely to develop dementia than those with a good score (hazard ratio, 2.05; 95% confidence interval, 1.50-2.81; P < .001). Those with a middle multisensory function score were 1.45 times more likely to develop dementia (HR, 1.45; 95% CI, 1.09-1.91; P < .001).

Even a 1-point worse multisensory function score was associated with a 14% higher risk for dementia (95% CI, 8%-21%), while a 4-point worse score was associated with 71% higher risk for dementia (95% CI, 38%-211%).

Smell was the sensory function most strongly associated with dementia risk. Participants whose sense of smell declined by 10% had a 19% higher risk for dementia versus a 1%-3% higher risk for declines in vision, hearing, and touch.

It is not clear why smell was a stronger determinant of dementia risk. However, loss of this sense is often considered to be a marker for Alzheimer’s disease “because it is closely linked with brain regions that are affected” in that disease, said Dr. Brenowitz.

However, that does not necessarily mean smell is more important than vision or hearing, she added. “Even if hearing and vision have a smaller contribution to dementia, they have a stronger potential for intervention.” The findings suggest “some additive or cumulative” effects for loss of the different senses. “There’s an association above and beyond those which can be attributed to individual sensory domains,” she said.
 

Frailty link

After including mobility, which is a potential mediator, estimates for the multisensory function score were slightly lower. “Walking speed is pretty strongly associated with dementia risk,” Dr. Brenowitz noted. Physical frailty might help explain the link between sensory impairment and dementia risk. “It’s not clear if that’s because people with dementia are declining or because people with frailty are especially vulnerable to dementia,” she said.

The researchers also assessed the role of social support, another potential mechanism by which sensory decline, especially in hearing and vision, could influence dementia risk. Although the study did not find substantial differences in social support measures, the investigators noted that questions assessing social support were limited in scope.

Interactions between multisensory function score and race, APOE e4 allele status, and sex were not significant.

Worsening multisensory function was also linked to faster annual rates of cognitive decline as measured by both the 3MS and DSST. Each 1-point worse score was associated with faster decline (P < .05), even after adjustment for demographics and health conditions.
 

Possible mechanisms

A number of possible mechanisms may explain the link between poor sensory function and dementia. It could be that neurodegeneration underlying dementia affects the senses, or vision and/or hearing loss leads to social isolation and poor mental health, which in turn could affect dementia risk, the researchers wrote. It also is possible that cardiovascular disease or diabetes affect both dementia risk and sensory impairment.

Dr. Brenowitz noted that, because cognitive tests rely on a certain degree of vision and hearing, impairment of these senses may complicate such tests. Still to be determined is whether correcting sensory impairments, such as wearing corrective lenses or hearing aids, affects dementia risk.

Meanwhile, it might be a good idea to more regularly check sensory function, especially vision and hearing, the researchers suggested. These functions affect various aspects of health and can be assessed rather easily. However, because smell is so strongly associated with dementia risk, Dr. Brenowitz said she would like to see it also become “part of a screening tool.”

A possible study limitation cited was that the researchers checked sensory function only once. “Most likely, some of these would change over time, but at least it captured sensory function at one point,” Dr. Brenowitz said.
 

“Sheds further light”

Commenting on the study, Jo V. Rushworth, PhD, associate professor and national teaching fellow, De Montfort University Leicester (England), said it “sheds further light on the emerging links” between multisensory impairment and cognitive decline leading to dementia. “The authors show that people with even mild loss of function in various senses are more likely to develop cognitive impairment.”

Dr. Rushworth was not involved with the study but has done research in the area.

The current results suggest that measuring patients’ hearing, vision, sense of smell, and touch might “flag at-risk groups” who could be targeted for dementia prevention strategies, Dr. Rushworth noted. Such tests are noninvasive and potentially less distressing than other methods of diagnosing dementia. “Importantly, the relatively low cost and simplicity of sensory tests offer the potential for more frequent testing and the use of these methods in areas of the world where medical facilities and resources are limited.”

This new study raises the question of whether the observed sensory impairments are a cause or an effect of dementia, Dr. Rushworth noted. “As the authors suggest, decreased sensory function can lead to a decrease in social engagement, mobility, and other factors which would usually contribute to counteracting cognitive decline.”

The study raises other questions, too, said Dr. Rushworth. She noted that the participants who experienced more severe sensory impairments were, on average, 2 years older than those with the least impairments. “To what degree were the observed sensory deficits linked to normal aging rather than dementia?”

As well, Dr. Rushworth pointed out that the molecular mechanisms that “kick-start” dementia are believed to occur in midlife – so possibly at an age younger than the study participants. “Do younger people of a ‘predementia’ age range display multisensory impairments?”

Because study participants could wear glasses during vision tests but were not allowed to wear hearing aids for the hearing tests, further standardization of sensory impairment is required, Dr. Rushworth said.

“Future studies will be essential in determining the value of clinical measurement of multisensory impairment as a possible dementia indicator and prevention strategy,” she concluded.

The study was funded by the National Institute on Aging, the National Institute of Nursing Research, and the Alzheimer’s Association. Dr. Brenowitz and Dr. Rushworth have reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

A poor combined score on tests of hearing, vision, smell, and touch is associated with a higher risk for dementia and cognitive decline among older adults, new research suggests. The study, which included almost 1,800 participants, adds to emerging evidence that even mild levels of multisensory impairment are associated with accelerated cognitive aging, the researchers noted.

Clinicians should be aware of this link between sensory impairment and dementia risk, said lead author Willa Brenowitz, PhD, assistant professor, department of psychiatry and behavioral sciences, University of California, San Francisco. “Many of these impairments are treatable, or at least physicians can monitor them; and this can improve quality of life, even if it doesn’t improve dementia risk.”

The findings were published online July 12 in Alzheimer’s and Dementia.
 

Additive effects

Previous research has focused on the link between dementia and individual senses, but this new work is unique in that it focuses on the additive effects of multiple impairments in sensory function, said Dr. Brenowitz. The study included 1,794 dementia-free participants in their 70s from the Health, Aging and Body Composition study, a prospective cohort study of healthy Black and White men and women.

Researchers tested participants’ hearing using a pure tone average without hearing aids and vision using contrast sensitivity with glasses permitted. They also measured vibrations in the big toe to assess touch and had participants identify distinctive odors such as paint thinner, roses, lemons, and onions to assess smell.

A score of 0-3 was assigned based on sample quartiles for each of the four sensory functions. Individuals with the best quartile were assigned a score of 0 and those with the worst were assigned a score of 3.

The investigators added scores across all senses to create a summary score of multisensory function (0-12) and classified the participants into tertiles of good, medium, and poor. Individuals with a score of 0 would have good function in all senses, whereas those with 12 would have poor function in all senses. Those with medium scores could have a mix of impairments.

Participants with good multisensory function were more likely to be healthier than those with poor function. They were also significantly more likely to have completed high school (85.0% vs. 72.1%), were significantly less likely to have diabetes (16.9% vs. 27.9%), and were marginally less likely to have cardiovascular disease, high blood pressure, and history of stroke.

Investigators measured cognition using the Modified Mini-Mental State (3MS) examination, a test of global cognitive function, and the Digit Symbol Substitution Test (DSST), a measure of cognitive processing speed. Cognitive testing was carried out at the beginning of the study and repeated every other year.

Dementia was defined as the use of dementia medication, being hospitalized with dementia as a primary or secondary diagnosis, or having a 3MS score 1.5 standard deviations lower than the race-stratified Health ABC study baseline mean.

Over an average follow-up of 6.3 years, 18% of participants developed dementia.
 

Dose-response increase

Results showed that, with worsening multisensory function score, the risk for dementia increased in a dose-response manner. In models adjusted for demographics and health conditions, participants with a poor multisensory function score were more than twice as likely to develop dementia than those with a good score (hazard ratio, 2.05; 95% confidence interval, 1.50-2.81; P < .001). Those with a middle multisensory function score were 1.45 times more likely to develop dementia (HR, 1.45; 95% CI, 1.09-1.91; P < .001).

Even a 1-point worse multisensory function score was associated with a 14% higher risk for dementia (95% CI, 8%-21%), while a 4-point worse score was associated with 71% higher risk for dementia (95% CI, 38%-211%).

Smell was the sensory function most strongly associated with dementia risk. Participants whose sense of smell declined by 10% had a 19% higher risk for dementia versus a 1%-3% higher risk for declines in vision, hearing, and touch.

It is not clear why smell was a stronger determinant of dementia risk. However, loss of this sense is often considered to be a marker for Alzheimer’s disease “because it is closely linked with brain regions that are affected” in that disease, said Dr. Brenowitz.

However, that does not necessarily mean smell is more important than vision or hearing, she added. “Even if hearing and vision have a smaller contribution to dementia, they have a stronger potential for intervention.” The findings suggest “some additive or cumulative” effects for loss of the different senses. “There’s an association above and beyond those which can be attributed to individual sensory domains,” she said.
 

Frailty link

After including mobility, which is a potential mediator, estimates for the multisensory function score were slightly lower. “Walking speed is pretty strongly associated with dementia risk,” Dr. Brenowitz noted. Physical frailty might help explain the link between sensory impairment and dementia risk. “It’s not clear if that’s because people with dementia are declining or because people with frailty are especially vulnerable to dementia,” she said.

The researchers also assessed the role of social support, another potential mechanism by which sensory decline, especially in hearing and vision, could influence dementia risk. Although the study did not find substantial differences in social support measures, the investigators noted that questions assessing social support were limited in scope.

Interactions between multisensory function score and race, APOE e4 allele status, and sex were not significant.

Worsening multisensory function was also linked to faster annual rates of cognitive decline as measured by both the 3MS and DSST. Each 1-point worse score was associated with faster decline (P < .05), even after adjustment for demographics and health conditions.
 

Possible mechanisms

A number of possible mechanisms may explain the link between poor sensory function and dementia. It could be that neurodegeneration underlying dementia affects the senses, or vision and/or hearing loss leads to social isolation and poor mental health, which in turn could affect dementia risk, the researchers wrote. It also is possible that cardiovascular disease or diabetes affect both dementia risk and sensory impairment.

Dr. Brenowitz noted that, because cognitive tests rely on a certain degree of vision and hearing, impairment of these senses may complicate such tests. Still to be determined is whether correcting sensory impairments, such as wearing corrective lenses or hearing aids, affects dementia risk.

Meanwhile, it might be a good idea to more regularly check sensory function, especially vision and hearing, the researchers suggested. These functions affect various aspects of health and can be assessed rather easily. However, because smell is so strongly associated with dementia risk, Dr. Brenowitz said she would like to see it also become “part of a screening tool.”

A possible study limitation cited was that the researchers checked sensory function only once. “Most likely, some of these would change over time, but at least it captured sensory function at one point,” Dr. Brenowitz said.
 

“Sheds further light”

Commenting on the study, Jo V. Rushworth, PhD, associate professor and national teaching fellow, De Montfort University Leicester (England), said it “sheds further light on the emerging links” between multisensory impairment and cognitive decline leading to dementia. “The authors show that people with even mild loss of function in various senses are more likely to develop cognitive impairment.”

Dr. Rushworth was not involved with the study but has done research in the area.

The current results suggest that measuring patients’ hearing, vision, sense of smell, and touch might “flag at-risk groups” who could be targeted for dementia prevention strategies, Dr. Rushworth noted. Such tests are noninvasive and potentially less distressing than other methods of diagnosing dementia. “Importantly, the relatively low cost and simplicity of sensory tests offer the potential for more frequent testing and the use of these methods in areas of the world where medical facilities and resources are limited.”

This new study raises the question of whether the observed sensory impairments are a cause or an effect of dementia, Dr. Rushworth noted. “As the authors suggest, decreased sensory function can lead to a decrease in social engagement, mobility, and other factors which would usually contribute to counteracting cognitive decline.”

The study raises other questions, too, said Dr. Rushworth. She noted that the participants who experienced more severe sensory impairments were, on average, 2 years older than those with the least impairments. “To what degree were the observed sensory deficits linked to normal aging rather than dementia?”

As well, Dr. Rushworth pointed out that the molecular mechanisms that “kick-start” dementia are believed to occur in midlife – so possibly at an age younger than the study participants. “Do younger people of a ‘predementia’ age range display multisensory impairments?”

Because study participants could wear glasses during vision tests but were not allowed to wear hearing aids for the hearing tests, further standardization of sensory impairment is required, Dr. Rushworth said.

“Future studies will be essential in determining the value of clinical measurement of multisensory impairment as a possible dementia indicator and prevention strategy,” she concluded.

The study was funded by the National Institute on Aging, the National Institute of Nursing Research, and the Alzheimer’s Association. Dr. Brenowitz and Dr. Rushworth have reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Frailty is a highly prevalent syndrome in nursing homes, occurring in at least 50% of patients.¹ The frailty phenotype has been described by Fried and colleagues as impairment in ≥ 3 of 5 domains: unintentional weight loss, self-reported exhaustion, muscle weakness, slow gait speed, and low physical activity. By this definition, frailty is highly associated with poor quality of life and mortality.^2,3

In recent years, there has been evolving evidence of a relationship between frailty and chronic systemic inflammation.^4-6 Some degree of chronic inflammation is likely inherent to the aging process and increases the risk of frailty (so-called inflammaging) but is seen to a greater degree in many pathologic conditions in nursing homes, including cancer, organ failure, and chronic infection.^4,6-8

Dysphagia also is highly prevalent in nursing homes, affecting up to 60% of patients and is a strong predictor of hospital utilization and of mortality.^9,10 Overt aspiration pneumonitis and pneumonia are perhaps the best studied sequelae, but chronic occult microaspiration also is prevalent in this population.¹¹ Just as normal systemic inflammatory changes in aging may increase vulnerability to frailty with additional illness burden, normal aging changes in swallowing function may increase vulnerability to dysphagia and to microaspiration with additional illness burden.^12,13 In older adults, important risk factors for microaspiration include not only overt dysphagia, dementia, and other neurologic illnesses, but also general debility, weakness, and immobility.¹⁴

Matsuse and colleagues have described diffuse aspiration bronchiolitis (DAB) in patients with chronic microaspiration.¹⁴ DAB often goes undiagnosed.^14-16 As in frailty, weight loss and chronic anemia may be seen, and many of these patients are bedridden.^14,17 Episodes of macroaspiration and overt lobar pneumonia also may occur.¹⁴ Lung biopsy or autopsy reveals chronic bronchiolar inflammation and sometimes pulmonary fibrosis, but to date there have been no reports suggesting chronic systemic inflammation or elevated proinflammatory cytokines.^14,15,17 We present 3 patients with progressive weight loss, functional decline, and frailty in whom chronic microaspiration likely played a significant role.

Case 1 Presentation

A 68-year-old man with a 6-year history of rapidly progressive Parkinson disease was admitted to the Haley’s Cove Community Living Center (CLC) on the James A. Haley Veterans’ Hospital campus in Tampa, Florida for long-term care. The patient’s medical history also was significant for bipolar illness and for small cell carcinoma of the lung in sustained remission.

Medications included levodopa/carbidopa 50 mg/200 mg 4 times daily, entacapone 200 mg 4 times daily, lithium carbonate 600 mg every night at bedtime, lamotrigine 150 mg daily, quetiapine 200 mg every night at bedtime, pravastatin 40 mg every night at bedtime, omeprazole 20 mg daily, tamsulosin 0.4 mg every night at bedtime, and aspirin 81 mg daily. He initially did well, but after 6 months the nursing staff began to notice the patient coughing during and after meals. Speech pathology evaluation revealed moderate oropharyngeal dysphagia, and his diet was downgraded to nectar-thickened liquids.

Over the subsequent 10 months, he became progressively weaker in physical therapy and more inactive, with about a 20-lb weight loss and mild hypoalbuminemia of 3.0 gm/dL. He had developed 3 episodes of aspiration pneumonia during this period; a repeat swallow evaluation after the last episode revealed worsened dysphagia, and his physician suggested nil per os (NPO) status and an alternative feeding route. His guardian declined placement of a percutaneous endoscopic gastrostomy (PEG) tube, he was transferred to the inpatient hospice unit, and died 2 weeks later. An autopsy was declined.

Case 2 Presentation

A 66-year-old man with a medical history of multiple traumatic brain injuries (TBIs) was admitted to the CLC for long-term care. Sequelae of the TBIs included moderate dementia, spastic paraparesis with multiple pressure injuries, a well-controlled seizure disorder, and severe oropharyngeal dysphagia with NPO status and a percutaneous endoscopic gastrostomy (PEG) tube. His medical history included TBIs and hepatitis C virus infection; medications included levetiracetam 1,000 mg twice daily, lamotrigine 25 mg twice daily, and cholecalciferol 2,000 U daily. He had multiple stage III pressure injuries and an ischial stage IV injury at the time of admission.

His 11-month stay in the CLC was characterized by progressively worsening weakness and inactivity, with a 25-lb weight loss in spite of adequate tube feeding. Serum albumin remained in the 2.0 to 2.5 gm/dL range, hemoglobin in the 7 to 9 gm/dL range without any obvious source of anemia. Most of the pressure injuries worsened during his stay in spite of aggressive wound care, and he developed a second stage IV sacral wound. A single C-reactive protein (CRP) level 2 months prior to his death was markedly elevated at 19.5 mg/dL. In spite of maintaining NPO status, he developed 3 episodes of aspiration pneumonia, all of which responded well to treatment. Ultimately, he was found pulseless and apneic and resuscitation was unsuccessful. An autopsy revealed purulent material in the small airways.

Case 3 Presentation

A 65-year-old man with a long history of paranoid schizophrenia and severe gastroesophageal reflux disease had resided in the CLC for about 10 years. Medications included risperidone microspheres 37.5 mg every 2 weeks, valproic acid 500 mg 3 times daily and 1,000 mg every night at bedtime, lansoprazole 30 mg twice daily, ranitidine 150 mg every night at bedtime, sucralfate 1,000 mg 3 times daily, simvastatin 20 mg every night at bedtime, and tamsulosin 0.4 mg every night at bedtime. He had done well for many years but developed some drooling and a modest resting tremor (but no other signs of pseudoparkinsonism) about 8 years after admission.

There had been no changes to his risperidone dosage. He also lost about 20 lb over a period of 1 year and became increasingly weak and dependent in gait, serum albumin dropped as low as 1.6 gm/dL, hemoglobin dropped to the 7 to 8 gm/dL range (without any other obvious source of anemia), and he developed a gradually worsening right-sided pleural effusion. CRP was chronically elevated at this point, in the 6 to 15 mg/dL range and as high as 17.2 mg/dL. Ultimately, he developed 3 episodes of aspiration pneumonia over a period of 2 months. Swallowing evaluation at that time revealed severe oropharyngeal dysphagia and a PEG tube was placed. Due to concerns for possible antipsychotic-induced dysphagia, risperidone was discontinued, and quetiapine 400 mg a day was substituted. He did well over the subsequent year with no further pneumonia and advancement back to a regular diet. He regained all of the lost weight and began independent ambulation. Albumin improved to the 3 gm/dL range, hemoglobin to the 12 to 13 gm/dL range, and CRP had decreased to 0.7 mg/dL. The pleural effusion (believed to have been a parapneumonic effusion) had resolved.

Discussion

All 3 patients met the Fried criteria for frailty, although there were several confounding issues.² All 3 patients lost between 20 and 25 lb; all had clearly become weaker according to nursing and rehabilitation staff (although none were formally assessed for grip strength); and all had clear declines in their activity level. Patient 3 had a clear decrement in gait speed, but patient 1 had severe gait impairment due to Parkinson disease (although his gait in therapy had clearly worsened). Patient 2 was paraparetic and unable to ambulate. There also was evidence of limited biomarkers of systemic inflammation; all 3 patients’ albumin had decreased, and patients 2 and 3 had significant decrease in hemoglobin; but these commonplace clinical biomarkers are obviously multifactorially determined. We have limited data on our patients’ CRP levels; serial levels would have been more specific for systemic inflammation but were infrequently performed on the patients.

Multimorbidity and medical complexity are more the rule than the exception in frail geriatric patients,and it is difficult to separate the role of microaspiration from other confounding conditions that might have contributed to these patients’ evolving systemic inflammation and frailty.¹⁸ It might be argued that the decline for patient 1 was related to the underlying Parkinson disease (a progressive neurologic illness in which systemic inflammation has been reported), or that the decline of patient 2 was related to the worsening pressure injuries rather than to covert microaspiration.¹⁹ However, the TBIs for patient 2 and the schizophrenia for patient 3 would not be expected to be associated with frailty or with systemic inflammation. Furthermore, the frailty symptoms of patient 3 and inflammatory biomarkers improved after the risperidone, which was likely responsible for his microaspiration, was discontinued. All 3 patients were at risk for oropharyngeal dysphagia (antipsychotic medication is clearly associated with dysphagia²⁰); patient 2 demonstrated pathologic evidence of DAB at autopsy.

There is evolving evidence that chronic systemic inflammation and immune activation are key mechanisms in the pathogenesis of frailty.^4-6 It is known that elevated serum levels of proinflammatory cytokines, including tumor necrosis factor-α, interleukin-6, and CRP are directly associated with frailty and are inversely associated with levels of albumin, hemoglobin, insulin-like growth factor-1, and several micronutrients in frail individuals.^4-7,21,22 Chronic inflammation contributes to the pathophysiology of frailty through detrimental effects on a broad range of systems, including the musculoskeletal, endocrine, and hematopoietic systems and through nutritional dysregulation.^2,4,23 These changes may lead to further deleterious effects, creating a downward spiral of worsening frailty. For example, it seems likely that our patients’ progressive weakness further compromised airway protection, creating a vicious cycle of worsening microaspiration and chronic inflammation.

Conclusions

To date, the role of chronic microaspiration and DAB in chronic systemic inflammation or in frailty has not been explored. Given the prevalence of microaspiration in nursing home residents and the devastating consequences of frailty, though, this seems to be a crucial area of investigation. It is equally crucial for long-term care staff, both providers and nursing staff, to have a heightened awareness of covert microaspiration and a low threshold for referral to speech pathology for further investigation. Staff also should be aware of the utility of the Fried criteria to improve identification of frailty in general. It is probable that covert microaspiration will prove to be an important part of the differential diagnosis of frailty.

Frailty is a highly prevalent syndrome in nursing homes, occurring in at least 50% of patients.¹ The frailty phenotype has been described by Fried and colleagues as impairment in ≥ 3 of 5 domains: unintentional weight loss, self-reported exhaustion, muscle weakness, slow gait speed, and low physical activity. By this definition, frailty is highly associated with poor quality of life and mortality.^2,3

In recent years, there has been evolving evidence of a relationship between frailty and chronic systemic inflammation.^4-6 Some degree of chronic inflammation is likely inherent to the aging process and increases the risk of frailty (so-called inflammaging) but is seen to a greater degree in many pathologic conditions in nursing homes, including cancer, organ failure, and chronic infection.^4,6-8

Dysphagia also is highly prevalent in nursing homes, affecting up to 60% of patients and is a strong predictor of hospital utilization and of mortality.^9,10 Overt aspiration pneumonitis and pneumonia are perhaps the best studied sequelae, but chronic occult microaspiration also is prevalent in this population.¹¹ Just as normal systemic inflammatory changes in aging may increase vulnerability to frailty with additional illness burden, normal aging changes in swallowing function may increase vulnerability to dysphagia and to microaspiration with additional illness burden.^12,13 In older adults, important risk factors for microaspiration include not only overt dysphagia, dementia, and other neurologic illnesses, but also general debility, weakness, and immobility.¹⁴

Matsuse and colleagues have described diffuse aspiration bronchiolitis (DAB) in patients with chronic microaspiration.¹⁴ DAB often goes undiagnosed.^14-16 As in frailty, weight loss and chronic anemia may be seen, and many of these patients are bedridden.^14,17 Episodes of macroaspiration and overt lobar pneumonia also may occur.¹⁴ Lung biopsy or autopsy reveals chronic bronchiolar inflammation and sometimes pulmonary fibrosis, but to date there have been no reports suggesting chronic systemic inflammation or elevated proinflammatory cytokines.^14,15,17 We present 3 patients with progressive weight loss, functional decline, and frailty in whom chronic microaspiration likely played a significant role.

Case 1 Presentation

A 68-year-old man with a 6-year history of rapidly progressive Parkinson disease was admitted to the Haley’s Cove Community Living Center (CLC) on the James A. Haley Veterans’ Hospital campus in Tampa, Florida for long-term care. The patient’s medical history also was significant for bipolar illness and for small cell carcinoma of the lung in sustained remission.

Medications included levodopa/carbidopa 50 mg/200 mg 4 times daily, entacapone 200 mg 4 times daily, lithium carbonate 600 mg every night at bedtime, lamotrigine 150 mg daily, quetiapine 200 mg every night at bedtime, pravastatin 40 mg every night at bedtime, omeprazole 20 mg daily, tamsulosin 0.4 mg every night at bedtime, and aspirin 81 mg daily. He initially did well, but after 6 months the nursing staff began to notice the patient coughing during and after meals. Speech pathology evaluation revealed moderate oropharyngeal dysphagia, and his diet was downgraded to nectar-thickened liquids.

Over the subsequent 10 months, he became progressively weaker in physical therapy and more inactive, with about a 20-lb weight loss and mild hypoalbuminemia of 3.0 gm/dL. He had developed 3 episodes of aspiration pneumonia during this period; a repeat swallow evaluation after the last episode revealed worsened dysphagia, and his physician suggested nil per os (NPO) status and an alternative feeding route. His guardian declined placement of a percutaneous endoscopic gastrostomy (PEG) tube, he was transferred to the inpatient hospice unit, and died 2 weeks later. An autopsy was declined.

Case 2 Presentation

A 66-year-old man with a medical history of multiple traumatic brain injuries (TBIs) was admitted to the CLC for long-term care. Sequelae of the TBIs included moderate dementia, spastic paraparesis with multiple pressure injuries, a well-controlled seizure disorder, and severe oropharyngeal dysphagia with NPO status and a percutaneous endoscopic gastrostomy (PEG) tube. His medical history included TBIs and hepatitis C virus infection; medications included levetiracetam 1,000 mg twice daily, lamotrigine 25 mg twice daily, and cholecalciferol 2,000 U daily. He had multiple stage III pressure injuries and an ischial stage IV injury at the time of admission.

His 11-month stay in the CLC was characterized by progressively worsening weakness and inactivity, with a 25-lb weight loss in spite of adequate tube feeding. Serum albumin remained in the 2.0 to 2.5 gm/dL range, hemoglobin in the 7 to 9 gm/dL range without any obvious source of anemia. Most of the pressure injuries worsened during his stay in spite of aggressive wound care, and he developed a second stage IV sacral wound. A single C-reactive protein (CRP) level 2 months prior to his death was markedly elevated at 19.5 mg/dL. In spite of maintaining NPO status, he developed 3 episodes of aspiration pneumonia, all of which responded well to treatment. Ultimately, he was found pulseless and apneic and resuscitation was unsuccessful. An autopsy revealed purulent material in the small airways.

Case 3 Presentation

A 65-year-old man with a long history of paranoid schizophrenia and severe gastroesophageal reflux disease had resided in the CLC for about 10 years. Medications included risperidone microspheres 37.5 mg every 2 weeks, valproic acid 500 mg 3 times daily and 1,000 mg every night at bedtime, lansoprazole 30 mg twice daily, ranitidine 150 mg every night at bedtime, sucralfate 1,000 mg 3 times daily, simvastatin 20 mg every night at bedtime, and tamsulosin 0.4 mg every night at bedtime. He had done well for many years but developed some drooling and a modest resting tremor (but no other signs of pseudoparkinsonism) about 8 years after admission.

There had been no changes to his risperidone dosage. He also lost about 20 lb over a period of 1 year and became increasingly weak and dependent in gait, serum albumin dropped as low as 1.6 gm/dL, hemoglobin dropped to the 7 to 8 gm/dL range (without any other obvious source of anemia), and he developed a gradually worsening right-sided pleural effusion. CRP was chronically elevated at this point, in the 6 to 15 mg/dL range and as high as 17.2 mg/dL. Ultimately, he developed 3 episodes of aspiration pneumonia over a period of 2 months. Swallowing evaluation at that time revealed severe oropharyngeal dysphagia and a PEG tube was placed. Due to concerns for possible antipsychotic-induced dysphagia, risperidone was discontinued, and quetiapine 400 mg a day was substituted. He did well over the subsequent year with no further pneumonia and advancement back to a regular diet. He regained all of the lost weight and began independent ambulation. Albumin improved to the 3 gm/dL range, hemoglobin to the 12 to 13 gm/dL range, and CRP had decreased to 0.7 mg/dL. The pleural effusion (believed to have been a parapneumonic effusion) had resolved.

Discussion

All 3 patients met the Fried criteria for frailty, although there were several confounding issues.² All 3 patients lost between 20 and 25 lb; all had clearly become weaker according to nursing and rehabilitation staff (although none were formally assessed for grip strength); and all had clear declines in their activity level. Patient 3 had a clear decrement in gait speed, but patient 1 had severe gait impairment due to Parkinson disease (although his gait in therapy had clearly worsened). Patient 2 was paraparetic and unable to ambulate. There also was evidence of limited biomarkers of systemic inflammation; all 3 patients’ albumin had decreased, and patients 2 and 3 had significant decrease in hemoglobin; but these commonplace clinical biomarkers are obviously multifactorially determined. We have limited data on our patients’ CRP levels; serial levels would have been more specific for systemic inflammation but were infrequently performed on the patients.

Multimorbidity and medical complexity are more the rule than the exception in frail geriatric patients,and it is difficult to separate the role of microaspiration from other confounding conditions that might have contributed to these patients’ evolving systemic inflammation and frailty.¹⁸ It might be argued that the decline for patient 1 was related to the underlying Parkinson disease (a progressive neurologic illness in which systemic inflammation has been reported), or that the decline of patient 2 was related to the worsening pressure injuries rather than to covert microaspiration.¹⁹ However, the TBIs for patient 2 and the schizophrenia for patient 3 would not be expected to be associated with frailty or with systemic inflammation. Furthermore, the frailty symptoms of patient 3 and inflammatory biomarkers improved after the risperidone, which was likely responsible for his microaspiration, was discontinued. All 3 patients were at risk for oropharyngeal dysphagia (antipsychotic medication is clearly associated with dysphagia²⁰); patient 2 demonstrated pathologic evidence of DAB at autopsy.

There is evolving evidence that chronic systemic inflammation and immune activation are key mechanisms in the pathogenesis of frailty.^4-6 It is known that elevated serum levels of proinflammatory cytokines, including tumor necrosis factor-α, interleukin-6, and CRP are directly associated with frailty and are inversely associated with levels of albumin, hemoglobin, insulin-like growth factor-1, and several micronutrients in frail individuals.^4-7,21,22 Chronic inflammation contributes to the pathophysiology of frailty through detrimental effects on a broad range of systems, including the musculoskeletal, endocrine, and hematopoietic systems and through nutritional dysregulation.^2,4,23 These changes may lead to further deleterious effects, creating a downward spiral of worsening frailty. For example, it seems likely that our patients’ progressive weakness further compromised airway protection, creating a vicious cycle of worsening microaspiration and chronic inflammation.

Conclusions

To date, the role of chronic microaspiration and DAB in chronic systemic inflammation or in frailty has not been explored. Given the prevalence of microaspiration in nursing home residents and the devastating consequences of frailty, though, this seems to be a crucial area of investigation. It is equally crucial for long-term care staff, both providers and nursing staff, to have a heightened awareness of covert microaspiration and a low threshold for referral to speech pathology for further investigation. Staff also should be aware of the utility of the Fried criteria to improve identification of frailty in general. It is probable that covert microaspiration will prove to be an important part of the differential diagnosis of frailty.

Frailty is a highly prevalent syndrome in nursing homes, occurring in at least 50% of patients.¹ The frailty phenotype has been described by Fried and colleagues as impairment in ≥ 3 of 5 domains: unintentional weight loss, self-reported exhaustion, muscle weakness, slow gait speed, and low physical activity. By this definition, frailty is highly associated with poor quality of life and mortality.^2,3

In recent years, there has been evolving evidence of a relationship between frailty and chronic systemic inflammation.^4-6 Some degree of chronic inflammation is likely inherent to the aging process and increases the risk of frailty (so-called inflammaging) but is seen to a greater degree in many pathologic conditions in nursing homes, including cancer, organ failure, and chronic infection.^4,6-8

Dysphagia also is highly prevalent in nursing homes, affecting up to 60% of patients and is a strong predictor of hospital utilization and of mortality.^9,10 Overt aspiration pneumonitis and pneumonia are perhaps the best studied sequelae, but chronic occult microaspiration also is prevalent in this population.¹¹ Just as normal systemic inflammatory changes in aging may increase vulnerability to frailty with additional illness burden, normal aging changes in swallowing function may increase vulnerability to dysphagia and to microaspiration with additional illness burden.^12,13 In older adults, important risk factors for microaspiration include not only overt dysphagia, dementia, and other neurologic illnesses, but also general debility, weakness, and immobility.¹⁴

Matsuse and colleagues have described diffuse aspiration bronchiolitis (DAB) in patients with chronic microaspiration.¹⁴ DAB often goes undiagnosed.^14-16 As in frailty, weight loss and chronic anemia may be seen, and many of these patients are bedridden.^14,17 Episodes of macroaspiration and overt lobar pneumonia also may occur.¹⁴ Lung biopsy or autopsy reveals chronic bronchiolar inflammation and sometimes pulmonary fibrosis, but to date there have been no reports suggesting chronic systemic inflammation or elevated proinflammatory cytokines.^14,15,17 We present 3 patients with progressive weight loss, functional decline, and frailty in whom chronic microaspiration likely played a significant role.

Case 1 Presentation

A 68-year-old man with a 6-year history of rapidly progressive Parkinson disease was admitted to the Haley’s Cove Community Living Center (CLC) on the James A. Haley Veterans’ Hospital campus in Tampa, Florida for long-term care. The patient’s medical history also was significant for bipolar illness and for small cell carcinoma of the lung in sustained remission.

Medications included levodopa/carbidopa 50 mg/200 mg 4 times daily, entacapone 200 mg 4 times daily, lithium carbonate 600 mg every night at bedtime, lamotrigine 150 mg daily, quetiapine 200 mg every night at bedtime, pravastatin 40 mg every night at bedtime, omeprazole 20 mg daily, tamsulosin 0.4 mg every night at bedtime, and aspirin 81 mg daily. He initially did well, but after 6 months the nursing staff began to notice the patient coughing during and after meals. Speech pathology evaluation revealed moderate oropharyngeal dysphagia, and his diet was downgraded to nectar-thickened liquids.

Over the subsequent 10 months, he became progressively weaker in physical therapy and more inactive, with about a 20-lb weight loss and mild hypoalbuminemia of 3.0 gm/dL. He had developed 3 episodes of aspiration pneumonia during this period; a repeat swallow evaluation after the last episode revealed worsened dysphagia, and his physician suggested nil per os (NPO) status and an alternative feeding route. His guardian declined placement of a percutaneous endoscopic gastrostomy (PEG) tube, he was transferred to the inpatient hospice unit, and died 2 weeks later. An autopsy was declined.

Case 2 Presentation

A 66-year-old man with a medical history of multiple traumatic brain injuries (TBIs) was admitted to the CLC for long-term care. Sequelae of the TBIs included moderate dementia, spastic paraparesis with multiple pressure injuries, a well-controlled seizure disorder, and severe oropharyngeal dysphagia with NPO status and a percutaneous endoscopic gastrostomy (PEG) tube. His medical history included TBIs and hepatitis C virus infection; medications included levetiracetam 1,000 mg twice daily, lamotrigine 25 mg twice daily, and cholecalciferol 2,000 U daily. He had multiple stage III pressure injuries and an ischial stage IV injury at the time of admission.

His 11-month stay in the CLC was characterized by progressively worsening weakness and inactivity, with a 25-lb weight loss in spite of adequate tube feeding. Serum albumin remained in the 2.0 to 2.5 gm/dL range, hemoglobin in the 7 to 9 gm/dL range without any obvious source of anemia. Most of the pressure injuries worsened during his stay in spite of aggressive wound care, and he developed a second stage IV sacral wound. A single C-reactive protein (CRP) level 2 months prior to his death was markedly elevated at 19.5 mg/dL. In spite of maintaining NPO status, he developed 3 episodes of aspiration pneumonia, all of which responded well to treatment. Ultimately, he was found pulseless and apneic and resuscitation was unsuccessful. An autopsy revealed purulent material in the small airways.

Case 3 Presentation

A 65-year-old man with a long history of paranoid schizophrenia and severe gastroesophageal reflux disease had resided in the CLC for about 10 years. Medications included risperidone microspheres 37.5 mg every 2 weeks, valproic acid 500 mg 3 times daily and 1,000 mg every night at bedtime, lansoprazole 30 mg twice daily, ranitidine 150 mg every night at bedtime, sucralfate 1,000 mg 3 times daily, simvastatin 20 mg every night at bedtime, and tamsulosin 0.4 mg every night at bedtime. He had done well for many years but developed some drooling and a modest resting tremor (but no other signs of pseudoparkinsonism) about 8 years after admission.

There had been no changes to his risperidone dosage. He also lost about 20 lb over a period of 1 year and became increasingly weak and dependent in gait, serum albumin dropped as low as 1.6 gm/dL, hemoglobin dropped to the 7 to 8 gm/dL range (without any other obvious source of anemia), and he developed a gradually worsening right-sided pleural effusion. CRP was chronically elevated at this point, in the 6 to 15 mg/dL range and as high as 17.2 mg/dL. Ultimately, he developed 3 episodes of aspiration pneumonia over a period of 2 months. Swallowing evaluation at that time revealed severe oropharyngeal dysphagia and a PEG tube was placed. Due to concerns for possible antipsychotic-induced dysphagia, risperidone was discontinued, and quetiapine 400 mg a day was substituted. He did well over the subsequent year with no further pneumonia and advancement back to a regular diet. He regained all of the lost weight and began independent ambulation. Albumin improved to the 3 gm/dL range, hemoglobin to the 12 to 13 gm/dL range, and CRP had decreased to 0.7 mg/dL. The pleural effusion (believed to have been a parapneumonic effusion) had resolved.

Discussion

All 3 patients met the Fried criteria for frailty, although there were several confounding issues.² All 3 patients lost between 20 and 25 lb; all had clearly become weaker according to nursing and rehabilitation staff (although none were formally assessed for grip strength); and all had clear declines in their activity level. Patient 3 had a clear decrement in gait speed, but patient 1 had severe gait impairment due to Parkinson disease (although his gait in therapy had clearly worsened). Patient 2 was paraparetic and unable to ambulate. There also was evidence of limited biomarkers of systemic inflammation; all 3 patients’ albumin had decreased, and patients 2 and 3 had significant decrease in hemoglobin; but these commonplace clinical biomarkers are obviously multifactorially determined. We have limited data on our patients’ CRP levels; serial levels would have been more specific for systemic inflammation but were infrequently performed on the patients.

Multimorbidity and medical complexity are more the rule than the exception in frail geriatric patients,and it is difficult to separate the role of microaspiration from other confounding conditions that might have contributed to these patients’ evolving systemic inflammation and frailty.¹⁸ It might be argued that the decline for patient 1 was related to the underlying Parkinson disease (a progressive neurologic illness in which systemic inflammation has been reported), or that the decline of patient 2 was related to the worsening pressure injuries rather than to covert microaspiration.¹⁹ However, the TBIs for patient 2 and the schizophrenia for patient 3 would not be expected to be associated with frailty or with systemic inflammation. Furthermore, the frailty symptoms of patient 3 and inflammatory biomarkers improved after the risperidone, which was likely responsible for his microaspiration, was discontinued. All 3 patients were at risk for oropharyngeal dysphagia (antipsychotic medication is clearly associated with dysphagia²⁰); patient 2 demonstrated pathologic evidence of DAB at autopsy.

There is evolving evidence that chronic systemic inflammation and immune activation are key mechanisms in the pathogenesis of frailty.^4-6 It is known that elevated serum levels of proinflammatory cytokines, including tumor necrosis factor-α, interleukin-6, and CRP are directly associated with frailty and are inversely associated with levels of albumin, hemoglobin, insulin-like growth factor-1, and several micronutrients in frail individuals.^4-7,21,22 Chronic inflammation contributes to the pathophysiology of frailty through detrimental effects on a broad range of systems, including the musculoskeletal, endocrine, and hematopoietic systems and through nutritional dysregulation.^2,4,23 These changes may lead to further deleterious effects, creating a downward spiral of worsening frailty. For example, it seems likely that our patients’ progressive weakness further compromised airway protection, creating a vicious cycle of worsening microaspiration and chronic inflammation.

Conclusions

To date, the role of chronic microaspiration and DAB in chronic systemic inflammation or in frailty has not been explored. Given the prevalence of microaspiration in nursing home residents and the devastating consequences of frailty, though, this seems to be a crucial area of investigation. It is equally crucial for long-term care staff, both providers and nursing staff, to have a heightened awareness of covert microaspiration and a low threshold for referral to speech pathology for further investigation. Staff also should be aware of the utility of the Fried criteria to improve identification of frailty in general. It is probable that covert microaspiration will prove to be an important part of the differential diagnosis of frailty.