Frailty, Hospitalization, and Mortality in Residential Aged Care

Multifaceted Interventions Inclusive of Medication Optimization for Frailty in Aged Care: A Systematic Review

OBJECTIVES

Implementation of best practice frailty guidelines in residential aged care is currently unclear, and there is a particular scarcity of evidence regarding multifaceted frailty treatments inclusive of medication optimization in these settings, despite the bidirectional relationship between polypharmacy and frailty. This review aimed to retrieve all relevant literature and evaluate the effect of medication optimization delivered in conjunction with exercise and/or nutritional interventions in the best-practice management of frailty in residential aged care.

DESIGN

Systematic review with a qualitative synthesis.

SETTINGS AND PARTICIPANTS

Older adults residing within residential aged care (otherwise referred to as nursing homes or long-term care).

METHODS

The protocol was prospectively registered on PROSPERO (Reg. No.: CRD42022372036) using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Five electronic databases were searched from inception to November 23, 2023, with alerts monitored until March 28, 2024. Quality of studies was assessed using the ROB 2 and ROBIN-1 tools.

RESULTS

A total of 10,955 articles were retrieved; 62 full articles were reviewed, with 3 studies included (2 randomized controlled trials and 1 nonrandomized controlled trial) involving 1030 participants. Included studies did not use specific frailty scores but reported individual components of frailty such as weight loss or number of medications prescribed. No trial combining medication review, exercise, and nutrition was identified. Medication review reduced the number of medications prescribed, whereas the use of nutritional support reduced gastrointestinal medication and maintained weight.

CONCLUSION AND IMPLICATIONS

There is no published research investigating best-practice guidelines for medication optimization used in combination with both exercise and nutrition in aged care to address frailty. This review confirms the need for studies implementing Consensus Guidelines for frailty treatment in this vulnerable cohort.

Associations between healthy lifestyle and mortality across different social environments: a study among adults with frailty from the UK Biobank

BACKGROUND

Among people living with frailty, adherence to a healthy lifestyle may be a low-cost and effective strategy to decrease frailty-induced health risks across different social environments.

METHODS

We included 15 594 frail participants at baseline from the UK Biobank study. We used four lifestyle factors to create a composite healthy lifestyle score and 17 social factors to construct a polysocial score. We classified the lifestyle score into two levels (unhealthy and healthy) and the polysocial score into three levels (low, intermediate and high). We used Cox regression to determine the association of each lifestyle factor and lifestyle score with all-cause mortality, respectively. We also examined the associations across polysocial score categories. We evaluated the joint association of the lifestyle score and the categorical polysocial score with all-cause mortality.

RESULTS

During up to 14.41 follow-up years, we documented 3098 all-cause deaths. After multivariable adjustment, we found a significant association between not smoking and adequate physical activity with all-cause mortality across polysocial score categories, respectively. We also found a significant association between a healthy diet and all-cause mortality among frail participants living in an intermediate social environment. A healthy lifestyle was associated with a lower all-cause mortality risk across polysocial score categories, especially among those with a low polysocial score.

CONCLUSIONS

Adherence to a healthy lifestyle, particularly not smoking, adequate physical activity and a healthy diet, may provide a feasible solution to decreasing mortality risk among frail adults across different social environments, especially for those in the socially disadvantaged group.

The lived experience of frailty: beyond classification and towards a holistic understanding of health

PURPOSE

Frailty is characterised by decreased physiological reserves and vulnerability to stressors. Although scales, such as the Fried's Frailty Phenotype (FP), Frailty Index (FI), and Clinical Frailty Scale (CFS), are used to identify frailty, the lived experience of frailty remains understudied.

METHODS

This cross-sectional observational research involved participants aged 65 years and older from Wave 1 of The Irish Longitudinal Study on Ageing (TILDA). Participants were categorised into four independent groups: three frail groups based on the aforementioned scales and a non-frail group. Quantitative variables, including self-rated health, CASP-19 quality-of-life score, and frequency of social activities, were analysed and described.

RESULTS

The study encompassed 1999 participants with an average age of 72 years, of whom 51% were women. FP exclusively identified 1.6% as frail (n = 32), FI 11.7% (n = 233), and CFS 6.8% (n = 135). More than 60% of all those classified as frail reported their health as good, very good, or excellent, with the lowest proportion (64%) being among frail by FI participants. Frail by FI participants exhibited the lowest mean average CASP-19 score, yet it remained relatively high at 39 out of 57 points. Over 77% of all frail individuals engaged in active leisure activities at least once a month.

CONCLUSION

This study underscores the need to comprehend frailty holistically beyond its mere identification. It challenges the prevailing belief that frailty inevitably leads to impaired quality of life and limited social engagement. The findings advocate for a reassessment of how both the general public and healthcare professionals perceive frailty.

The Association of Frailty and Neighborhood Disadvantage with Emergency Department Visits and Hospitalizations in Older Adults

BACKGROUND

Risk stratification and population management strategies are critical for providing effective and equitable care for the growing population of older adults in the USA. Both frailty and neighborhood disadvantage are constructs that independently identify populations with higher healthcare utilization and risk of adverse outcomes.

OBJECTIVE

To examine the joint association of these factors on acute healthcare utilization using two pragmatic measures based on structured data available in the electronic health record (EHR).

DESIGN

In this retrospective observational study, we used EHR data to identify patients aged ≥ 65 years at Atrium Health Wake Forest Baptist on January 1, 2019, who were attributed to affiliated Accountable Care Organizations. Frailty was categorized through an EHR-derived electronic Frailty Index (eFI), while neighborhood disadvantage was quantified through linkage to the area deprivation index (ADI). We used a recurrent time-to-event model within a Cox proportional hazards framework to examine the joint association of eFI and ADI categories with healthcare utilization comprising emergency visits, observation stays, and inpatient hospitalizations over one year of follow-up.

KEY RESULTS

We identified a cohort of 47,566 older adults (median age = 73, 60% female, 12% Black). There was an interaction between frailty and area disadvantage (P = 0.023). Each factor was associated with utilization across categories of the other. The magnitude of frailty's association was larger than living in a disadvantaged area. The highest-risk group comprised frail adults living in areas of high disadvantage (HR 3.23, 95% CI 2.99-3.49; P < 0.001). We observed additive effects between frailty and living in areas of mid- (RERI 0.29; 95% CI 0.13-0.45; P < 0.001) and high (RERI 0.62, 95% CI 0.41-0.83; P < 0.001) neighborhood disadvantage.

CONCLUSIONS

Considering both frailty and neighborhood disadvantage may assist healthcare organizations in effectively risk-stratifying vulnerable older adults and informing population management strategies. These constructs can be readily assessed at-scale using routinely collected structured EHR data.

Frailty is associated with worse executive function and higher cerebral blood velocity in cognitively healthy older adults: a cross-sectional study

Frailty is characterized by an increased vulnerability to adverse health events. Executive function impairment is an early sign of progression towards cognitive impairments. Whether frailty is associated with executive function and the associated mechanisms are unclear. We test the hypothesis that higher frailty is associated with worse executive function (Trail Making Test) and if aerobic fitness, prefrontal cortex oxygenation (ΔO2Hb), or middle-cerebral artery velocity (MCAv) impact this association. Forty-one (38 females) cognitively health older adults (70.1 ± 6.3 years) completed a Trail task and 6-min walk test. Prefrontal cortex oxygenation was measured during the Trail task (via functional near-infrared spectroscopy) and MCAv in a sub-sample (n=26, via transcranial Doppler). A 35-item frailty index was used. Frailty was independently, non-linearly related to trail B performance (Frailty2: β=1927 [95% CI: 321-3533], p = 0.02), with the model explaining 22% of the variance of trail B time (p = 0.02). Aerobic fitness was an independent predictor of trail B (β=-0.05 [95% CI: -0.10-0.004], p = 0.04), but age and ΔO2Hb were not (both, p > 0.78). Frailty was positively associated with the difference between trails B and A (β=105 [95% CI: 24-186], p = 0.01). Frailty was also associated with a higher peak MCAv (ρ = 0.40, p = 0.04), but lower ΔO2Hb-peakMCAv ratio (ρ = -0.44, p = 0.02). Higher frailty levels are associated to worse Trail times after controlling for age, aerobic fitness, and prefrontal oxygenation. High frailty level may disproportionately predispose older adults to challenges performing executive function tasks that may manifest early as a compensatory higher MCAv despite worse executive function, and indicate a greater risk of progressing to cognitive impairment.

Understanding the role of frailty in local and systemic complications and healthcare resource utilization in acute pancreatitis: Findings from a national cohort

BACKGROUND

Acute pancreatitis (AP) is a significant gastrointestinal cause of hospitalization with increasing incidence. Risk stratification is crucial for determining AP outcomes, but the association between frailty and AP outcomes is poorly understood. Moreover, age disparities in severity indices for AP complicate risk assessment. This study investigates frailty's impact on local and systemic complications in AP, readmission rates, and healthcare resource utilization.

METHODS

Using the National Readmission Database from 2016 to 2019, we identified adult AP patients and assessed frailty using the Frailty Risk Score. Our analysis included local and systemic complications, resource utilization, readmission rates, procedures performed, and hospitalization outcomes. Multivariate regression was employed, and statistical significance was set at P < 0.05 using Stata version 14.2.

RESULTS

Among 1,134,738 AP patients, 6.94 % (78,750) were classified as frail, with a mean age of 63.42 years and 49.71 % being female. Frail patients experienced higher rates of local complications (e.g., pseudocyst, acute pancreatic necrosis, walled-off necrosis) and systemic complications (e.g., pleural effusion, acute respiratory distress syndrome, sepsis, abdominal compartment syndrome) compared to non-frail patients. Frailty was associated with increased readmission rates and served as an independent predictor of readmission. Frail patients had higher inpatient mortality (7.11 % vs. 1.60 %), longer hospital stays, and greater hospitalization costs.

CONCLUSION

Frailty in AP patients is linked to elevated rates of local and systemic complications, increased mortality, and higher healthcare costs. Assessing frailty is crucial in AP management as it provides a valuable tool for risk stratification and identifying high-risk patients, thereby improving overall outcomes.

Factors associated with avoidable hospital transfers among residents in Swiss nursing homes

Unplanned hospitalizations from nursing homes (NHs) may be considered potentially avoidable and can result in adverse resident outcomes. There is little information about the relationship between a clinical assessment conducted by a physician or geriatric nurse expert before hospitalization and an ensuing rating of avoidability. This study aimed to describe characteristics of unplanned hospitalizations (admitted residents with at least one night stay, emergency department visits were excluded) and to examine this relationship. We conducted a cohort study in 11 Swiss NHs and retrospectively evaluated data from the root cause analysis of 230 unplanned hospitalizations. A telephone assessment by a physician (p=.043) and the need for further medical clarification and treatment (p=<0.001) were the principal factors related to ratings of avoidability. Geriatric nurse experts can support NH teams in acute situations and assess residents while adjudicating unplanned hospitalizations. Constant support for nurses expanding their clinical role is still warranted.

Development and validation of an individual-based state-transition model for the prediction of frailty and frailty-related events

Frailty is a biological syndrome that is associated with increased risks of morbidity and mortality. To assess the value of interventions to prevent or manage frailty, all important impacts on costs and outcomes should be estimated. The aim of this study is to describe the development and validation of an individual-based state transition model that predicts the incidence and progression of frailty and frailty-related events over the remaining lifetime of older Australians. An individual-based state transition simulation model comprising integrated sub models that represent the occurrence of seven events (mortality, hip fracture, falls, admission to hospital, delirium, physical disability, and transitioning to residential care) was developed. The initial parameterisation used data from the Survey of Health, Ageing, and Retirement in Europe (SHARE). The model was then calibrated for an Australian population using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The simulation model established internal validity with respect to predicting outcomes at 24 months for the SHARE population. Calibration was required to predict longer terms outcomes at 48 months in the SHARE and HILDA data. Using probabilistic calibration methods, over 1,000 sampled sets of input parameter met the convergence criteria across six external calibration targets. The developed model provides a tool for predicting frailty and frailty-related events in a representative community dwelling Australian population aged over 65 years and provides the basis for economic evaluation of frailty-focussed interventions. Calibration to outcomes observed over an extended time horizon would improve model validity.

Impact of age and sex on the relationship between carotid intima-media thickness and frailty level in the Canadian Longitudinal Study of Aging

BACKGROUND

Carotid intima-media thickness (cIMT) provides an index of arterial injury. Frailty is an indicator of vulnerability to adverse health outcomes. It is unclear whether cIMT is associated with the multi-dimensional frailty index and/or if this relationship is age- or sex-specific. The aim was to determine the impact of age and sex on the relationship between cIMT and frailty level in middle-aged and older adults.

METHODS

Frailty and cIMT data were extracted from the Canadian Longitudinal Study of Aging baseline comprehensive cohort of middle-aged (45-64 years) and older adults (>65 years) (n = 10,209). cIMT was assessed via high-resolution ultrasound. Frailty was determined using a 52-item index. Covariate-adjusted ordinary least squares regressions were conducted separately for middle-aged males (n = 3178), middle-aged females (n = 3125), older males (n = 2031), and older females (n = 1875).

RESULTS

Average cIMTs were larger in older versus middle-aged adults and in males versus females (all, p < 0.001). Average cIMT was positively associated with frailty level in adjusted linear regression models in middle-aged males [adj. R2 = 0.09; β = 0.015 (95 % CI: 0.005-0.026), p = 0.004], middle-aged females [adj. R2 = 0.11; β = 0.040 (95 % CI: 0.025-0.054), p < 0.001], older males [adj. R2 = 0.12; β = 0.019 (95 % CI: 0.004-0.034), p = 0.01], and older females [adj. R2 = 0.11; β = 0.020 (95 % CI: 0.002-0.039), p = 0.03].

CONCLUSION

cIMT was an independent contributor to frailty level regardless of age group (middle-aged/older adults) or sex, with the strongest effect observed in middle-aged females. Our cross-sectional study documents the independent relationship between a marker of cardiovascular function and an increased vulnerability to adverse health outcomes in middle-aged and older males and females.

COVID-19 in Elderly Patients Receiving Haemodialysis: A Current Review

There is an increased incidence of elderly adults diagnosed with kidney failure as our global aging population continues to expand. Hence, the number of elderly adults indicated for kidney replacement therapy is also increasing simultaneously. Haemodialysis initiation is more commonly observed in comparison to kidney transplantation and peritoneal dialysis for the elderly. The onset of the coronavirus 2019 (COVID-19) pandemic brought new paradigms and insights for the care of this patient population. Elderly patients receiving haemodialysis have been identified as high-risk groups for poor COVID-19 outcomes. Age, immunosenescence, impaired response to COVID-19 vaccination, increased exposure to sources of COVID-19 infection and thrombotic risks during dialysis are key factors which demonstrated significant associations with COVID-19 incidence, severity and mortality for this patient group. Recent findings suggest that preventative measures such as regular screening and, if needed, isolation in COVID-19-positive cases, alongside the fulfillment of COVID-19 vaccination programs is an integral strategy to reduce the number of COVID-19 cases and consequential complications from COVID-19, particularly for high-risk groups such as elderly haemodialysis patients. The COVID-19 pandemic brought about the rapid development and repurposing of a number of medications to treat patients in the viral and inflammatory stages of their disease. However, elderly haemodialysis patients were grossly unrepresented in many of these trials. We review the evidence for contemporary treatments for COVID-19 in this population to provide clinicians with an up-to-date guide. We hope our article increases awareness on the associations and impact of COVID-19 for the elderly haemodialysis population, and encourage research efforts to address knowledge gaps in this topical area.

A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong

BACKGROUND

Accurately estimating elderly patients' rehospitalisation risk benefits clinical decisions and service planning. However, research in rehospitalisation and repeated hospitalisation yielded only models with modest performance, and the model performance deteriorates rapidly as the prediction timeframe expands beyond 28 days and for older participants.

METHODS

A temporal zero-inflated Poisson (tZIP) regression model was developed and validated retrospectively and prospectively. The data of the electronic health records (EHRs) contain cohorts (aged 60+) in a major public hospital in Hong Kong. Two temporal offset functions accounted for the associations between exposure time and parameters corresponding to the zero-inflated logistic component and the Poisson distribution's expected count. tZIP was externally validated with a retrospective cohort's rehospitalisation events up to 12 months after the discharge date. Subsequently, tZIP was validated prospectively after piloting its implementation at the study hospital. Patients discharged within the pilot period were tagged, and the proposed model's prediction of their rehospitalisation was verified monthly. Using a hybrid machine learning (ML) approach, the tZIP-based risk estimator's marginal effect on 28-day rehospitalisation was further validated, competing with other factors representing different post-acute and clinical statuses.

RESULTS

The tZIP prediction of rehospitalisation from 28 days to 365 days was achieved at above 80% discrimination accuracy retrospectively and prospectively in two out-of-sample cohorts. With a large margin, it outperformed the Cox proportional and linear models built with the same predictors. The hybrid ML revealed that the risk estimator's contribution to 28-day rehospitalisation outweighed other features relevant to service utilisation and clinical status.

CONCLUSIONS

A novel rehospitalisation risk model was introduced, and its risk estimators, whose importance outweighed all other factors of diverse post-acute care and clinical conditions, were derived. The proposed approach relies on four easily accessible variables easily extracted from EHR. Thus, clinicians could visualise patients' rehospitalisation risk from 28 days to 365 days after discharge and screen high-risk older patients for follow-up care at the proper time.

Prediction of Nursing Home Admission Using the FRAIL-NH Scale Among Older Adults in Post-Acute Care Settings

OBJECTIVES

The FRAIL-NH scale was developed to identify frailty status in nursing home residents. The purpose of this study was to examine the utility of the FRAIL-NH scale for predicting nursing home admission among patients in post-acute care settings. Design/ Setting/ Participants: This single-center, prospective, observational cohort study included participants aged 65 years or older who were admitted to a community-based integrated care ward (CICW) between July 2015 and November 2020.

MEASUREMENTS

Using the CICW database, we retrospectively classified participants as robust, prefrail, or frail based on the FRAIL-NH scale the score by identifying variables from our database that were most representative of each component. The following data were collected: examination findings, CICW admission and discharge information, length of CICW stay, and nursing home admission. The participants were divided into two groups based on whether or not they were admitted to a nursing home after CICW discharge. The hazard ratios (HRs) and 95% confidence intervals (CIs) for nursing home admission were calculated according to the FRAIL-NH categories using the Cox proportional hazards models with reference to the robust group. In the multivariate adjusted model, we adjusted for age, sex, nutritional status, cognitive function, living status, and economic status.

RESULTS

Data of 550 older adults were analyzed, of which 118 were admitted and 432 were not admitted to a nursing home. The frail group had a higher risk of nursing home admission (HR, 2.22; 95% CI 1.32-3.76) than the robust group.

CONCLUSIONS

This study showed that the FRAIL-NH scale was beneficial for predicting nursing home admission among older adults in the post-acute care setting. Thus, assessment using the FRAIL-NH scale may help to consider preparation and support for life after discharge.

The Parallel Mediation Effects of Depression, Well-Being, and Social Activity on Physical Performance and Frailty in Community-Dwelling Middle-Aged and Older People

Background

Frailty refers to a decline in an elderly person's physical, psychological, and social functioning, making them sensitive to stressors. Because frailty is caused by a variety of factors, including certain demographic characteristics, understanding the mediating factors that affect frailty in the elderly is critical.

Purpose

To provide evidence about the relationship between depression, well-being, social activity, physical performance, and frailty among older adults.

Materials and Methods

The study used secondary data from Taiwan's Long-term Study of Aging (n = 7,622), excluding people with severe dementia. The chi-square test and Spearmen's coefficient correlation were used to assess the relationship between the demographic variables and frailty. Nonparametric bootstrapping analysis was used to test whether depression, well-being, and social activity are parallel mediators of the relationship between physical performance and frailty. This study was approved by Fu Jen Catholic University (FJU-IRB No. C110040).

Results

The overall frailty prevalence was 13.9%. We calculated a mean score and standard deviation for each measurement in this study. The correlation found low-to-moderate positive and negative statistically significant correlations between the variables. A significant, moderately negative relationship was found between physical performance and frailty that correlated with three potential mediating factors. The path indicated that lower physical performance scores and higher depression scores are more likely to be associated with frailty.

Conclusion

Older adults who are depressed are more likely to become frail. Adults who are more socially active and report greater well-being are less likely to become frail. Therefore, further research should design and test a comprehensive intervention for older adults in community settings that addresses all three factors, aimed at increasing well-being and social activity while also treating depression.

Development and validation of retrospective electronic frailty index using operational data of aged care homes

Background

Although elderly population is generally frail, it is important to closely monitor their health deterioration to improve the care and support in residential aged care homes (RACs). Currently, the best identification approach is through time-consuming regular geriatric assessments. This study aimed to develop and validate a retrospective electronic frailty index (reFI) to track the health status of people staying at RACs using the daily routine operational data records.

Methods

We have access to patient records from the Royal Freemasons Benevolent Institution RACs (Australia) over the age of 65, spanning 2010 to 2021. The reFI was developed using the cumulative deficit frailty model whose value was calculated as the ratio of number of present frailty deficits to the total possible frailty indicators (32). Frailty categories were defined using population quartiles. 1, 3 and 5-year mortality were used for validation. Survival analysis was performed using Kaplan-Meier estimate. Hazard ratios (HRs) were estimated using Cox regression analyses and the association was assessed using receiver operating characteristic (ROC) curves.

Results

Two thousand five hundred eighty-eight residents were assessed, with an average length of stay of 1.2 ± 2.2 years. The RAC cohort was generally frail with an average reFI of 0.21 ± 0.11. According to the Kaplan-Meier estimate, survival varied significantly across different frailty categories (p < 0.01). The estimated hazard ratios (HRs) were 1.12 (95% CI 1.09–1.15), 1.11 (95% CI 1.07–1.14), and 1.1 (95% CI 1.04–1.17) at 1, 3 and 5 years. The ROC analysis of the reFI for mortality outcome showed an area under the curve (AUC) of ≥0.60 for 1, 3 and 5-year mortality.

Conclusion

A novel reFI was developed using the routine data recorded at RACs. reFI can identify changes in the frailty index over time for elderly people, that could potentially help in creating personalised care plans for addressing their health deterioration.

Interprofessional Interventions Involving Pharmacists and Targeting the Medicines Management Process Provided to Older People Residing in Nursing Homes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials

BACKGROUND

Nursing home residents are often prescribed multiple medications, which increases their susceptibility to drug-related problems. The medicines management process involves multiple stages, for example, assessing, prescribing, dispensing, delivering and storing, administering, reviewing and monitoring. The medicine management process aims to optimise medicine use and associated patient outcomes. Interprofessional interventions of healthcare professionals from different disciplines in many clinical settings, including the nursing home setting, have shown success in improving patients' clinical outcomes. However, reporting of the pharmacist's role and the impact of these interventions has been unclear.

OBJECTIVES

We aimed to systematically identify and describe interprofessional interventions involving pharmacists that target the medicine management process in nursing homes by (a) describing interprofessional interventions and the role of pharmacists within, (b) describing the impact of these interventions, (c) exploring which of the medicine management process stages were targeted and (d) identifying any reported theoretical underpinning.

METHODS

EMBASE, MEDLINE, CINAHL, SCOPUS, PsycInfo, Cochrane library, Web of Science and clinical trial registers were searched from the inception date until August 2021. Randomised controlled trials reporting interprofessional interventions involving pharmacists, targeting at least one stage of the medicine management process and provided to nursing home residents with a mean age ≥ 65 years, were included. The search had no restriction on outcomes measured. Included randomised controlled trials were assessed for quality and risk of bias using the Jadad scale and Cochrane Collaboration tool, respectively. The overall certainty of outcomes was assessed using GRADEpro. If present, details about theoretical underpinning were extracted using the theory coding scheme. Fixed and random-effects models were used to calculate the pooled effect estimates to compare outcomes between intervention and control groups, where feasible, or a narrative description was reported.

RESULTS

Eighteen manuscripts describing interprofessional interventions involving pharmacists were identified: medication review (n = 14), education (n = 3) and medication simplification (n = 1) based interventions. The pharmacists' most frequent role was the provision of medicine-related recommendations, and they worked mostly with general practitioners and nurses. Residents/family members contributed in 44% of included interventions. A meta-analysis identified that interventions were significantly associated with significant improvements in prescribing appropriateness (standard mean difference - 0.20; 95% confidence interval - 0.33 to - 0.77; I² = 27%) but not with hospitalisation and mortality. None of the included studies reported a theoretical underpinning to intervention development.

CONCLUSIONS

This systematic review provides a detailed description of the impact of interprofessional practice, involving pharmacists, which targets at least one stage of the medicine management process in the nursing home setting. The findings suggest that future research should prioritise improving prescribing inappropriateness rather than the number of long-term medications prescribed. It remains unknown if interventions are designed using theory and, therefore, it is not clear whether theory-derived interventions are more effective than those without a theoretical element.

CLINICAL TRIAL REGISTRATION

The protocol was published in the International Prospective Register of Systematic Reviews (PROSPERO) [Ref: CRD42020181744].

The association between cognitive impairment and 30-day mortality among older Chinese inpatients

Purpose

Although the association between cognitive impairment and mortality has been widely described among community-dwelling older adults, this association in hospitalized patients was limited.

Objectives

This study's purpose was to explore the association between cognitive impairment and 30-day mortality after adjustment of factors among Chinese in-patients.

Methods

This was a large-scale prospective study based on a cohort of patients aged 65 years and older, whose cognitive function was assessed using the Mini-Cog instrument, followed up at 30-days for mortality. Multivariate logistic regression models were used to assess the association between cognitive impairment and 30-day mortality.

Results

There were 9,194 inpatients in our study, with an average age of 72.41 ± 5.72. The prevalence of cognitive impairment using the Mini-Cog instrument was 20.5%. Multivariable analyses showed that patients with cognitive impairment have an increased risk of 30-day mortality, compared to those with normal cognitive function (OR = 2.83,95%CI:1.89–4.24) in an unadjusted model. In the fully adjusted model, Patients with cognitive impairment had an increased risk of 30-day mortality compared to those with normal cognitive function in the completely adjusted model (OR = 1.76,95% CI: 1.14–2.73). Additionally, this association still existed and was robust after performing a stratified analysis of age, gender, frailty and depression, with no significant interaction (P > 0.05).

Conclusions

Our study found that older Chinese in-patients with cognitive impairment have a 1.76-fold risk of 30-day mortality compared to patients with normal cognitive function, suggesting that clinicians and nurses need to early implement cognitive function screening and corresponding interventions to improve clinical outcomes for older in-patients.

Frailty, depression risk and 10-year hospitalization in older adults. The FRADEA study

OBJECTIVES

To determine whether the interaction between frailty status and depression risk is associated with hospitalization density in older adults.

METHODS

Ongoing cohort study in 794 subjects aged over 70 years from Albacete (Spain). Data were collected on depression risk, frailty, hospitalizations, and covariates. Participants were categorized into six groups.

RESULTS

Adjusted hospitalization risk was higher for groups of prefrail/-non depression risk (HR 1.48; 95% confidence interval (CI) 1.16-1.89), prefrail/depression risk (HR 1.73; 95% CI 1.29-2.30), frail/non depression risk (HR 1.79; 95% CI 1.22-2.62), and frail/depression risk (HR 2.12; 95% CI 1.49-3.02), compared with robust/non depression risk group (p<0.01). Frail and prefrail groups presented increased hospitalization density in the first four follow-up years.

CONCLUSIONS

Depression risk changes the yearly probabilities of hospitalization in prefrail and frail groups, increasing them in the first years. Depression risk should be monitored in prefrail and frail older adults as an independent risk factor for hospitalization.

Trajectories of physical frailty and cognitive impairment in older adults in United States nursing homes

Background

U.S. nursing homes provide long-term care to over 1.2 million older adults, 60% of whom were physically frail and 68% had moderate or severe cognitive impairment. Limited research has examined the longitudinal experience of these two conditions in older nursing home residents.

Methods

This national longitudinal study included newly-admitted non-skilled nursing care older residents who had Minimum Data Set (MDS) 3.0 (2014–16) assessments at admission, 3 months, and 6 months (n = 266,001). Physical frailty was measured by FRAIL-NH and cognitive impairment by the Brief Interview for Mental Status. Separate sets of group-based trajectory models were fitted to identify the trajectories of physical frailty and trajectories of cognitive impairment, and to estimate the association between older residents’ characteristics at admission with each set of trajectories. A dual trajectory model was used to quantify the association between the physical frailty trajectories and cognitive impairment trajectories.

Results

Over the course of the first six months post-admission, five physical frailty trajectories [“Consistently Frail” (prevalence: 53.0%), “Consistently Pre-frail” (29.0%), “Worsening Frailty” (7.6%), “Improving Frailty” (5.5%), and “Consistently Robust” (4.8%)] and three cognitive impairment trajectories [“Consistently Severe Cognitive Impairment” (35.5%), “Consistently Moderate Cognitive Impairment” (31.8%), “Consistently Intact/Mild Cognitive Impairment” (32.7%)] were identified. One in five older residents simultaneously followed the trajectories of “Consistently Frail” and “Consistently Severe Cognitive Impairment”. Characteristics associated with higher odds of the “Improving Frailty”, “Worsening Frailty”, “Consistently Pre-frail” and “Consistently Frail” trajectories included greater at-admission cognitive impairment, age ≥ 85 years, admitted from acute hospitals, cardiovascular/metabolic diagnoses, neurological diagnoses, hip or other fractures, and presence of pain. Characteristics associated with higher odds of the “Consistently Moderate Cognitive Impairment” and “Consistently Severe Cognitive Impairment” included worse at-admission physical frailty, neurological diagnoses, hip fracture, and receipt of antipsychotics.

Conclusions

Findings provided information regarding the trajectories of physical frailty, the trajectories of cognitive impairment, the association between the two sets of trajectories, and their association with residents’ characteristics in older adults’ first six months post-admission to U.S. nursing homes. Understanding the trajectory that the residents would most likely follow may provide information to develop a comprehensive care approach tailored to their specific healthcare goals.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03012-8.

How frail is frail? A systematic scoping review and synthesis of high impact studies

AIMS

While the frailty index (FI) is a continuous variable, an FI score of 0.25 has construct and predictive validity to categorise community-dwelling older adults as frail or non-frail. Our study aimed to explore which FI categories (FI scores and labels) were being used in high impact studies of adults across different care settings and why these categories were being chosen by study authors.

METHODS

For this systematic scoping review, Medline, Cochrane and EMBASE databases were searched for studies that measured and categorised an FI. Of 1314 articles screened, 303 met the eligibility criteria (community: N = 205; residential aged care: N = 24; acute care: N = 74). For each setting, the 10 studies with the highest field-weighted citation impact (FWCI) were identified and data, including FI scores and labels and justification provided, were extracted and analysed.

RESULTS

FI scores used to distinguish frail and non-frail participants varied from 0.12 to 0.45 with 0.21 and 0.25 used most frequently. Additional categories such as mildly, moderately and severely frail were defined inconsistently. The rationale for selecting particular FI scores and labels were reported in most studies, but were not always relevant.

CONCLUSIONS

High impact studies vary in the way they categorise the FI and while there is some evidence in the community-dweller literature, FI categories have not been well validated in acute and residential aged care. For the time being, in those settings, the FI should be reported as a continuous variable wherever possible. It is important to continue working towards defining frailty categories as variability in FI categorisation impacts the ability to synthesise results and to translate findings into clinical practice.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis

BACKGROUND

Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents.

METHODS

Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs).

RESULTS

In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)].

CONCLUSIONS

Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Unplanned hospital transfers from nursing homes: who is involved in the transfer decision? Results from the HOMERN study

Background

Emergency department visits and hospital admissions are common among nursing home residents (NHRs) and seem to be higher in Germany than in other countries. Yet, research on characteristics of transfers and involved persons in the transfer decision is scarce.

Aims

The aim of this study was to analyze the characteristics of hospital transfers from nursing homes (NHs) focused on contacts to physicians, family members and legal guardians prior to a transfer.

Methods

We conducted a multi-center study in 14 NHs in the regions Bremen and Lower Saxony (Northwestern Germany) between March 2018 and July 2019. Hospital transfers were documented for 12 months by nursing staff using a standardized questionnaire. Data were derived from care records and perspectives of nursing staff and were analyzed descriptively.

Results

Among 802 included NHRs, n = 535 unplanned hospital transfers occurred of which 63.1% resulted in an admission. Main reasons were deterioration of health status (e.g. fever, infections, dyspnea and exsiccosis) (35.1%) and falls/accidents/injuries (33.5%). Within 48 h prior to transfer, contact to at least one general practitioner (GP)/specialist/out-of-hour-care physician was 46.2% and varied between the NHs (range: 32.3–83.3%). GPs were involved in only 34.8% of transfer decisions. Relatives and legal guardians were more often informed about transfer (62.3% and 66.8%) than involved in the decision (21.8% and 15.1%).

Discussion

Contacts to physicians and involvement of the GP were low prior to unplanned transfers. The ranges between the NHs may be explained by organizational differences.

Conclusion

Improvements in communication between nursing staff, physicians and others are required to reduce potentially avoidable transfers.

Electronic supplementary material

The online version of this article (10.1007/s40520-020-01751-5) contains supplementary material, which is available to authorized users.

Tropical Australian Health-Data Linkage Shows Excess Mortality Following Severe Infectious Disease Is Present in the Short-Term and Long-Term after Hospital Discharge

BACKGROUND

In this study, we aimed to assess the risk factors associated with mortality due to an infectious disease over the short-, medium-, and long-term based on a data-linkage study for patients discharged from an infectious disease unit in North Queensland, Australia, between 2006 and 2011.

METHODS

Age-sex standardised mortality rates (SMR) for different subgroups were estimated, and the Kaplan-Meier method was used to estimate and compare the survival experience among different groups.

RESULTS

Overall, the mortality rate in the hospital cohort was higher than expected in comparison with the Queensland population (SMR: 15.3, 95%CI: 14.9-15.6). The long-term mortality risks were significantly higher for severe infectious diseases than non-infectious diseases for male sex, Indigenous, residential aged care and elderly individuals.

CONCLUSION

In general, male sex, Indigenous status, age and comorbidity were associated with an increased hazard for all-cause deaths.

Medication-related hospital admissions in aged care residents

OBJECTIVE

To determine the prevalence of medication-related hospitalisations preceded by potentially suboptimal processes of care in aged care residents.

METHOD

We conducted a retrospective analysis of administrative claims data from the Australian Government Department of Veterans' Affairs (DVA). We identified all hospital admissions for aged care residents between 1 July 2014 and 30 June 2019. The proportion of hospital admissions preceded by potentially suboptimal medication-related processes of care was determined.

RESULTS

A total of 18 874 hospitalisations were included, and 46% were preceded by potentially suboptimal medication-related care. One-quarter of fracture admissions occurred in residents at risk of fracture who were not using a medicine to prevent fracture, and 87% occurred in residents using falls-risk medicines. Thirty per cent of heart failure admissions occurred in patients who were not using an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker.

CONCLUSION

Nearly half of hospital admissions were preceded by potentially suboptimal medication-related processes of care. Interventions to improve use of medicines for aged care residents in these areas are warranted.

Health status and healthcare trends of individuals accessing Australian aged care programmes over a decade: the Registry of Senior Australians historical cohort

Background

Understanding the health profile, service and medicine use of Australians in the aged care sector will help inform appropriate service provision for our ageing population.

Aims

To examine the 2006–2015 trends in (i) comorbidities and frailty of individuals accessing aged care, and (ii) health services, medicine use and mortality after entry into long‐term care.

Methods

Cross‐sectional and population‐based trend analyses were conducted using the Registry of Senior Australians.

Results

From 2006 to 2015, 509 944 individuals accessed permanent residential care, 206 394 home care, 283 014 respite and 124 943 transition care. Over this time, the proportion of individuals accessing permanent residential care with high frailty scores (≥0.3) increased (19.7–49.7%), as did the proportion with 5–9 comorbidities (46.4–54.5%), with similar trends observed for those accessing other services. The median number of medicines dispensed in the year after entering permanent residential care increased from 9 (interquartile range (IQR) 6–12) to 10 (IQR 7–14), while remaining stable in home care (2006: 9, IQR 5–12, 2015: 9, IQR 6–13). Short‐term (within 100 days) mortality in those accessing permanent care was higher in 2006 (15.6%, 95% CI 15.2–16.0) than 2015 (14.6%, 95% CI 14.3–14.9). Longer term (101–1095 days, 2006: 44.3%, 95% CI 43.7–45.0, 2015: 46.4%, 95% CI 45.8–46.9) mortality was higher in 2015 compared to 2006. Mortality in individuals accessing home care did not change.

Conclusion

The health of older Australians accessing aged care programmes has declined while frailty increased, with an increasing use of medicine and worse long‐term mortality in some. Funding and care models need to adapt to this changing profile.

Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes

INTRODUCTION

In older US nursing home (NH) residents, there is limited research on the prevalence of physical frailty, its potential dynamic changes, and its association with cognitive impairment in older adults' first 6 months of NH stay.

METHODS

Minimum Data Set (MDS) 3.0 is the national database on residents in US Medicare-/Medicaid-certified NHs. MDS 3.0 was used to identify older adults aged ≥65 years, newly admitted to NHs during January 1, 2014, and June 30, 2016, with life expectancy ≥6 months at admission and NH length of stay ≥6 months (N = 571,139). MDS 3.0 assessments at admission, 3 months, and 6 months were used. In each assessment, physical frailty was measured by FRAIL-NH (robust, prefrail, and frail) and cognitive impairment by Brief Interview for Mental Status and Cognitive Performance Scale (none/mild, moderate, and severe). Demographic characteristics and diagnosed conditions were measured at admission, while presence of pain and receipt of psychotropic medications were at each assessment. Distribution of physical frailty and its change over time by cognitive impairment were described. A nonproportional odds model was fitted with a generalized estimation equation to longitudinally examine the association between physical frailty and cognitive impairment, adjusting for demographic and clinical characteristics.

RESULTS

Around 60% of older residents were physically frail in the first 6 months. Improvement and worsening across physical frailty levels were observed. Particularly, in those who were prefrail at admission, 23% improved to robust by 3 months. At admission, 3 months, and 6 months, over 37% of older residents had severe cognitive impairment and about 70% of those with cognitive impairment were physically frail. At admission, older residents with moderate cognitive impairment were 35% more likely (adjusted odds ratio [aOR]: 1.35, 95% confidence interval [CI]: 1.33-1.37) and those with severe impairment were 74% more likely (aOR: 1.74, 95% CI: 1.72-1.77) to be frail than prefrail/robust, compared to those with none/mild impairment. The association between the 2 conditions remained positive and consistently increased over time.

DISCUSSION/CONCLUSION

Physical frailty was prevalent in NHs with potential to improve and was strongly associated with cognitive impairment. Physical frailty could be a modifiable target, and interventions may include efforts to address cognitive impairment.

Development and Validation of a Clinical Frailty Index for the World Trade Center General Responder Cohort

Objectives: To develop and validate a clinical frailty index to characterize aging among responders to the 9/11 World Trade Center (WTC) attacks. Methods: This study was conducted on health monitoring data on a sample of 6197 responders. A clinical frailty index, WTC FI-Clinical, was developed according to the cumulative deficit model of frailty. The validity of the resulting index was assessed using all-cause mortality as an endpoint. Its association with various cohort characteristics was evaluated. Results: The sample's median age was 51 years. Thirty items were selected for inclusion in the index. It showed a strong correlation with age, as well as significant adjusted associations with mortality, 9/11 exposure severity, sex, race, pre-9/11 occupation, education, and smoking status. Discussion: The WTC FI-Clinical highlights effects of certain risk factors on aging within the 9/11 responder cohort. It will serve as a useful instrument for monitoring and tracking frailty within this cohort.

Increase in Frailty in Nursing Home Survivors of Coronavirus Disease 2019: Comparison With Noninfected Residents

Objectives

Institutionalized older adults have a high prevalence of frailty and disability, which may make them more vulnerable to the negative consequences of coronavirus disease 2019 (COVID-19). We investigated the impact of COVID-19 on the level of frailty, physical, and cognitive performance in nursing home residents.

Design

Nested case-control study.

Setting and Participants

The study included nursing home residents who were infected with COVID-19 (case group, n = 76), matched by age to a control group (n = 76).

Methods

Participants’ sociodemographic and medical data were collected, and they were also assessed for physical function (handgrip and walking speed), cognitive performance (Mini-Mental State Examination) and frailty (Frail-NH scale) before the first wave of the COVID-19 pandemic (October to December 2019, pre-COVID-19) and after (June to July 2020, post-COVID-19). COVID-19 symptoms and clinical course were recorded for the cases.

Results

Between the pre- and post-COVID-19 assessments, we found a 19% greater deterioration in handgrip, a 22% greater decrease in walking speed, and a 21% greater increase in Frail-NH scores in cases compared with controls. In both cases and controls, on the other hand, there was a significant 10% decrease in Mini-Mental State Examination scores over the study period. Multivariable logistic regression showed that COVID-19 survivors had a 4-fold increased chance of developing frailty compared with controls (odds ratio 4.95, 95% confidence interval 1.13–21.6, P = .03), but not cognitive decline.

Conclusions and Implications

COVID-19 can accelerate the aging process of institutionalized older adults in terms of physical performance and frailty by around 20%. However, we found similar levels of decline in cognitive performance in both cases and controls, likely because of the burden of social isolation and containment measures on neuropsychological health.

Implementing Precision Medicine in Human Frailty through Epigenetic Biomarkers

The main epigenetic features in aging are: reduced bulk levels of core histones, altered pattern of histone post-translational modifications, changes in the pattern of DNA methylation, replacement of canonical histones with histone variants, and altered expression of non-coding RNA. The identification of epigenetic mechanisms may contribute to the early detection of age-associated subclinical changes or deficits at the molecular and/or cellular level, to predict the development of frailty, or even more interestingly, to improve health trajectories in older adults. Frailty reflects a state of increased vulnerability to stressors as a result of decreased physiologic reserves, and even dysregulation of multiple physiologic systems leading to adverse health outcomes for individuals of the same chronological age. A key approach to overcome the challenges of frailty is the development of biomarkers to improve early diagnostic accuracy and to predict trajectories in older individuals. The identification of epigenetic biomarkers of frailty could provide important support for the clinical diagnosis of frailty, or more specifically, to the evaluation of its associated risks. Interventional studies aimed at delaying the onset of frailty and the functional alterations associated with it, would also undoubtedly benefit from the identification of frailty biomarkers. Specific to the article yet reasonably common within the subject discipline.

The Frailty In Residential Sector over Time (FIRST) study: methods and baseline cohort description

BACKGROUND

The Frailty In Residential Sector over Time (FIRST) Study is a 3-year prospective cohort study investigating the health of residents living in residential aged care services (RACS) in South Australia. The study aims to examine the change in frailty status and associated health outcomes.

METHODS

This interim report presents data from March 2019-October 2020. The study setting is 12 RACS from one organisation across metropolitan and rural South Australia involving 1243 residents. All permanent (i.e. respite or transition care program excluded) residents living in the RACS for at least 8 weeks were invited to participate. Residents who were deemed to be medically unstable (e.g. experiencing delirium), have less than 3 months to live, or not fluent in English were excluded. Data collected included frailty status, medical diagnoses, medicines, pain, nutrition, sarcopenia, falls, dementia, anxiety and depression, sleep quality, quality of life, satisfaction with care, activities of daily living, and life space use at baseline and 12-months. Data Linkage will occur over the 3 years from baseline.

RESULTS

A total of 561 permanent residents (mean age 87.69 ± 7.25) were included. The majority of residents were female (n = 411, 73.3%) with 95.3% (n = 527) being classified as either frail (n = 377, 68.2%) or most-frail (n = 150, 27.1%) according to the Frailty Index (FI). Most residents were severely impaired in their basic activities of daily living (n = 554, 98.8%), and were at-risk of malnutrition (n = 305, 55.0%) and at-risk of sarcopenia (n = 492, 89.5%). Most residents did not experience pain (n = 475, 85.4%), had normal daytime sleepiness (n = 385, 69.7%), and low anxiety and depression scores (n = 327, 58.9%).

CONCLUSION

This study provides valuable information on the health and frailty levels of residents living in RACS in South Australia. The results will assist in developing interventions that can help to improve the health and wellbeing of residents in aged care services.

TRIAL REGISTRATION

Prospectively registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12619000500156 ).

Impacts of frailty on health care costs among community-dwelling older adults: A meta-analysis of cohort studies

BACKGROUND

The demands for health care services from the frail elderly individuals in the community continue to increase, which will exert a tremendous burden on health care costs. However, little is known regarding the magnitude of these impacts. In this study, we performed a systematic review and meta-analysis of the evidence to explore the impact of frailty on health care costs among community-dwelling older adults.

MATERIALS AND METHODS

Relevant published articles were searched from PubMed, Embase, Web of Science, the Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Journal Full-text Database (VIP), Wanfang Database, Chinese Biomedical Literature Database (CBM), and the reference lists of articles. Published cohort or cross-sectional studies assessing the impacts of frailty on health care costs among community-dwelling older adults were identified (to June 2020). The outcomes on health care costs before and after baseline were stratified by frailty status.

RESULTS

A total of 7 cohort studies comprised of a total of 3,750,611 participants were included in our study. Our analyses showed that: (1) compared with the robust group, health care costs increased by $79-13,423.83 (standardized mean difference, SMD = 0.22, 95% Confidence interval, 95% CI, 0.22-0.22; P < 0.00001) in the pre-frail elderly and by $616-32,549.96 (SMD = 0.55, 95% CI, 0.44-0.67; P < 0.00001) in the frail elderly in the community. A significantly higher in the increase of health care costs was observed in the frail group compared with the pre-frail group(SMD = 0.35, 95% CI, 0.19-0.51; P < 0.0001); (2) the frailty phenotype components increased the health care costs of the elderly in community (weight loss: $1,630-6,209, SMD = 0.43, 95% CI, 0.17-0.69; P = 0.001; weakness: $275-7,586, SMD = 0.24, 95% CI, 0.08-0.40; P = 0.001; exhaustion: $1,545-10,559, SMD = 0.31, 95% CI, 0.13-0.49; P = 0.0006; slowness: $352-1,1891, SMD = 0.40, 95% CI = 0.14-0.65; P = 0.003; low physical activity: $512-3,459, SMD = 0.26, 95% CI, 0.16-0.36; P < 0.00001); (3) the increase in the frailty index was parallel with the increase in health care costs by $12,363-21,066 (SMD = 0.41, 95% CI, 0.29-0.53; P < 0.00001).

CONCLUSIONS AND IMPLICATIONS

This study revealed the adverse economic impacts of frailty status, frailty phenotype components, and frailty index on health care costs in community-dwelling older adults. Future research is warranted to investigate costs incurred by interventions to improve frailty, which will provide further insights into additional health care costs due to frailty.

Frailty and mortality in long-term care facilities for older people in Brazil: a survival analysis

OBJECTIVES: To investigate the effect of frailty on 1-year mortality in long term-care facility (LTCF) residents. METHODS: This was a prospective cohort study with survival analysis of 209 participants living in 15 Brazilian LTCFs. Data on chronic diseases, age, sex, medication use, dependence in activities of daily living (ADLs; Katz index), and frailty (FRAIL scale) were collected at baseline, and death after 1 year was the outcome measure. Kaplan-Meier estimate and log-rank test were used to analyze the survival of residents. RESULTS: In the initial assessment, 65.07 of the residents were women, and the median age was 82 (interquartile range, 71–88) years, with 55% being over 80 years old. Overall, 88% had 2 or more diseases, 59.81% were using 5 or more medications, 42.11% were considered frail, 34.92% pre-frail, and 22.97% robust, and 69.94% were dependent in 3 or more ADLs. During the 12-month follow-up, 19.61% of the residents (n=41) died. In the survival analysis for death, there was a statistically significant association with frailty (p=0.03) and dependence in ADLs (p=0.04). CONCLUSIONS: In this population of LTCF residents, frailty and functional dependence were associated with death.

The FRAIL-NH Scale: Systematic Review of the Use, Validity and Adaptations for Frailty Screening in Nursing Homes

OBJECTIVES

To investigate frailty prevalence, cross-sectional associations, predictive validity, concurrent validity, and cross-cultural adaptations of the FRAIL-NH scale.

DESIGN

Systematic review.

SETTING AND PARTICIPANTS

Frail residents living in nursing homes.

METHODS

MEDLINE, EMBASE, CINAHL, and Cochrane Library were searched from January 2015 to June 2021 for primary studies that used the FRAIL-NH scale, irrespective of study designs and publication language.

RESULTS

Overall, 40 studies conducted across 20 countries utilized the FRAIL-NH scale; majority in Australia (n=14), followed by China (n=6), United States (n=3), and Spain (n=3). The scale has been translated and back-translated into Brazilian Portuguese, Chinese, and Japanese. Various cut-offs have been used, with ≥2 and ≥6 being the most common cut-offs for frail and most frail, respectively. When defined using these cut-offs, frailty prevalence varied from 15.1-79.5% (frail) to 28.5-75.0% (most frail). FRAIL-NH predicted falls (n=2), hospitalization or length of stay (n=4), functional or cognitive decline (n=4), and mortality (n=9) over a median follow-up of 12 months. FRAIL-NH has been compared to 16 other scales, and was correlated with Fried's phenotype (FP), Frailty Index (FI), and FI-Lab. Four studies reported fair-to-moderate agreements between FRAIL-NH and FI, FP, and the Comprehensive Geriatric Assessment. Ten studies assessed the sensitivity and specificity of different FRAIL-NH cut-offs, with ≥8 having the highest sensitivity (94.1%) and specificity (82.8%) for classifying residents as frail based on FI, while two studies reported an optimal cut-off of ≥2 based on FI and FP, respectively.

CONCLUSION

In seven years, the FRAIL-NH scale has been applied in 20 countries and adapted into three languages. Despite being applied with a range of cut-offs, FRAIL-NH was associated with higher care needs and demonstrated good agreement with other well-established but more complex scales. FRAIL-NH was predictive of adverse outcomes across different settings, highlighting its value in guiding care for frail residents in nursing homes.

Frailty Index, Hospital Admission and Number of Days Spent in Hospital in Nursing Home Residents: Results from the Incur Study

OBJECTIVES

To investigate the predictive capacity of an age-related deficit accumulation index (the so-called Frailty Index [FI] proposed by Rockwood) for hospital admission (HA) and number of days spent in hospital (DSH) among nursing home residents.

DESIGN, SETTING AND PARTICIPANTS

Data are from a longitudinal cohort study, the Incidence of pNeumonia and related ConseqUences in nursing home Residents (INCUR), of 768 elder people (75.4% women) living in 13 nursing homes in France.

MEASUREMENTS

The FI was computed taking into account 30 possible deficits at the baseline visit. Hospital admissions were defined as all urgent and involuntary admissions including unplanned readmissions. The length of stay was the total number of days spent by the resident in the hospital. Cox proportional hazard models in the presence of competing risks (death) were performed to study the relationship between the FI and HA over a 12-month follow-up. A Zero-inflated negative binomial regression was performed to study the association between the FI and DSH.

RESULTS

Mean age of participants was 86.7 (standard deviation [SD] 6.9) years, with a mean FI of 0.37 (SD 0.11). At the end of the follow-up, 238 (30.9%) HA events were recorded. Positive associations of the FI with DSH and HA were reported (per 0.01 FI increment: age- and gender-adjusted hazard ratio 1.15, 95% confidence interval 1.020-1.297, p=0.02 and OR 1.209 (1.075 - 1.359, p<0.001, respectively).

CONCLUSIONS AND IMPLICATIONS

The FI is a strong predictor of negative health-related outcomes as HA and DSH events, even with very old and complex nursing home residents.

Nutritional domains in frailty tools: Working towards an operational definition of nutritional frailty

Different methods have been proposed for the assessment of the nutritional status in frailty phenotypes. In the present narrative review article, we have summarized the number and specifications of nutritional items in existing frailty tools, in order to develop a possible means of assessment and operational definition of the nutritional frailty phenotype. In six different databases until December 2019, we searched for original articles regarding frailty tools (i.e., scales, indexes, scores, questionnaires, instruments, evaluations, screening, indicators), analyzing each tool regarding nutritional items. We identified 160 articles describing 71 frailty tools. Among the selected frailty tools, 54 were community-based (70 %), 17 hospital-based (22 %), 4 validated in long-term care institutions for older adults (LTCIOA) (5.1 %) and 2 validated in both community- and hospital-based settings, including LTCIOA (2.5 %). Fifty-two of these tools (73 %) included at least one nutritional item. Twenty-two (42 %) reported two or more nutritional items. The items were grouped in the following categories: A) anthropometric measurements, B) laboratory measurements, and C) other nutritional-related measurements. Anthropometric measurements stood out compared to all other items. Nutritional items are included in the majority of frailty tools, strengthening the concept that they may have a direct implication on an increased risk of adverse health-related outcomes in frail subjects. This supports the development of the concept of nutritional frailty as an independent frailty phenotype. Subsequent steps will be to assess the contribution of each nutritional item to a possible operational definition of nutritional frailty and define the items that may best identify this new frailty phenotype.

Root cause analysis of fall-related hospitalisations among residents of aged care services

BACKGROUND

Fall-related hospitalisations from residential aged care services (RACS) are distressing for residents and costly to the healthcare system. Strategies to limit hospitalisations include preventing injurious falls and avoiding hospital transfers when falls occur.

AIMS

To undertake a root cause analysis (RCA) of fall-related hospitalisations from RACS and identify opportunities for fall prevention and hospital avoidance.

METHODS

An aggregated RCA of 47 consecutive fall-related hospitalisations for 40 residents over a 12-month period at six South Australian RACS was undertaken. Comprehensive data were extracted from RACS records including nursing progress notes, medical records, medication charts, hospital summaries and incident reports by a nurse clinical auditor and clinical pharmacist. Root cause identification was performed by the research team. A multidisciplinary expert panel recommended strategies for falls prevention and hospital avoidance.

RESULTS

Overall, 55.3% of fall-related hospitalisations were among residents with a history of falls. Among all fall-related hospitalisations, at least one high falls risk medication was administered regularly prior to hospitalisation. Potential root causes of falling included medication initiations and dose changes. Root causes for hospital transfers included need for timely access to subsidised medical services or radiology. Strategies identified for avoiding hospitalisations included pharmacy-generated alerts when medications associated with an increased risk of falls are initiated or changed, multidisciplinary audit and feedback of falls risk medication use and access to subsidised mobile imaging services.

CONCLUSIONS

This aggregate RCA identified a range of strategies to address resident and system-level factors to minimise fall-related hospitalisations.

Association between frailty and risk of fall among diabetic patients

BACKGROUND

Several epidemiological studies have demonstrated the risk factors for fall, while few studies investigated the association between frailty and risk of fall in diabetic patients aged ≥45 years.

METHODS

In this multicity observational study, participants with type 2 diabetes aged ≥45 years were enrolled. Frailty status was measured by a frailty index (FI) of deficit accumulation. We used multivariable regression models to examine the relationship between frailty and fall in diabetic patients, and further investigated the associations between frailty and fall in varied subgroups.

RESULTS

A total of 2049 participants with type 2 diabetes were identified in our study. Our results showed a per-s.d. and a per-0.01 increment of FI were associated with an increased risk of fall, with a fully adjusted OR of 1.89 (95% CI: 1.50, 2.38), 1.06 (95% CI: 1.04, 1.09), respectively. The effects were magnified when frailty was considered as dichotomous, with an OR of 3.08 (95% CI: 2.18, 4.34). In further subgroup analyses, we found that the females, the older, rural residents, individuals with no sitting toilet, people with poor balance performance and those in poor health status were susceptible to fall. Especially, for the risk of fall in the older, a per-s.d. increase of FI corresponded to an OR of 2.46 (95% CI: 1.68, 3.62). When frailty was regarded as a binary variable, the effect increased to 4.62 (95% CI: 2.54, 8.38) in the older subgroup.

CONCLUSION

Frailty was associated with a higher risk of fall in people with type 2 diabetes, and the effects were higher in vulnerable groups. This evidence suggested that more attention should be paid to vulnerable groups for fall prevention.

Frailty and risk of re-hospitalisation and mortality for aged care residents following a fall injury hospitalisation

OBJECTIVES

To examine the role of frailty in risk of re-hospitalisation and mortality for aged care residents following a fall injury hospitalisation.

METHODS

Retrospective analysis of linked hospitalisation and aged care data of adults aged ≥65 years residing in aged care. A semi-competing risk analysis examined risk of hospital readmission.

RESULTS

Residents who had intermediate or high frailty, who were aged 70-79 or 80-89 years, who had 1-2 or ≥3 comorbidities, sustained a hip fracture, and who had either low, moderate or high complex health-care requirements had a higher risk of being readmitted to hospital. Frailty was not associated with mortality for those with no hospital readmission or mortality after readmission.

CONCLUSION

Frailty is an important prognostic factor associated with readmission for residents of aged care hospitalised for a fall injury. Frailty screening could assist to identify people at a high risk of re-hospitalisation following a fall injury.

Reducing medicine-induced deterioration and adverse reactions (ReMInDAR) trial: study protocol for a randomised controlled trial in residential aged-care facilities assessing frailty as the primary outcome

INTRODUCTION

Many medicines have adverse effects which are difficult to detect and frequently go unrecognised. Pharmacist monitoring of changes in signs and symptoms of these adverse effects, which we describe as medicine-induced deterioration, may reduce the risk of developing frailty. The aim of this trial is to determine the effectiveness of a 12-month pharmacist service compared with usual care in reducing medicine-induced deterioration, frailty and adverse reactions in older people living in aged-care facilities in Australia.

METHODS AND ANALYSIS

The reducing medicine-induced deterioration and adverse reactions trial is a multicentre, open-label randomised controlled trial. Participants will be recruited from 39 facilities in South Australia and Tasmania. Residents will be included if they are using four or more medicines at the time of recruitment, or taking more than one medicine with anticholinergic or sedative properties. The intervention group will receive a pharmacist assessment which occurs every 8 weeks. The pharmacists will liaise with the participants' general practitioners when medicine-induced deterioration is evident or adverse events are considered serious. The primary outcome is a reduction in medicine-induced deterioration from baseline to 6 and 12 months, as measured by change in frailty index. The secondary outcomes are changes in cognition scores, 24-hour movement behaviour, grip strength, weight, percentage robust, pre-frail and frail classification, rate of adverse medicine events, health-related quality of life and health resource use. The statistical analysis will use mixed-models adjusted for baseline to account for repeated outcome measures. A health economic evaluation will be conducted following trial completion using data collected during the trial.

ETHICS AND DISSEMINATION

Ethics approvals have been obtained from the Human Research Ethics Committee of University of South Australia (ID:0000036440) and University of Tasmania (ID:H0017022). A copy of the final report will be provided to the Australian Government Department of Health.

TRIAL REGISTRATION NUMBER

Australian and New Zealand Trials Registry ACTRN12618000766213.

Prediction of Frailty and Dementia Using Oral Health Impact Profile from a Population-Based Survey

Oral health and dentition have been associated with cognitive ability and frailty, but an applicable screening tool has not yet been developed. This study aimed to establish risk prediction models for dementia and frailty. A sample of 2905 community-dwelling older adults aged ≥58 years using the Taiwan Longitudinal Study on Aging (TLSA) survey was adapted and analyzed for this study. Risk scores were estimated by stepwise logistic regression. In models adjusted for covariates, increased age, female sex, no dental prosthesis (adjusted Odds ratio [adjOR], 1.61; 95% confidence interval [CI], 1.11–2.35), diabetes mellitus, chronic kidney disease, and an increased Oral Health Impact Profile (OHIP)-7T Q3 score (adjOR, 1.33; 95% CI, 1.19–1.49) were all significantly associated with frailty. In addition to these factors, an inability to self-report height or weight (adjOR, 4.52; 95% CI, 3.52–5.81) and an increased OHIP-7T Q7 score (adjOR, 1.21; 95% CI, 1.06–1.37) were significantly associated with dementia. The cut-off points of the risk scores for frailty and dementia were 80 (sensitivity, 80.0%; specificity, 81.2%) and 77 (sensitivity, 83.4%; specificity, 71.5%), respectively. The findings highlighted a number of composite risk factors of frailty and dementia. Importantly, the developed prediction models were easily applicable to screen for frailty and dementia in communities or dental clinics.

Reducing the Burden of Complex Medication Regimens: SImplification of Medications Prescribed to Long-tErm care Residents (SIMPLER) Cluster Randomized Controlled Trial

OBJECTIVE

To assess the application of a structured process to consolidate the number of medication administration times for residents of aged care facilities.

DESIGN

A nonblinded, matched-pair, cluster randomized controlled trial.

SETTING AND PARTICIPANTS

Permanent residents who were English-speaking and taking at least 1 regular medication, recruited from 8 South Australian residential aged care facilities (RACFs).

METHODS

The intervention involved a clinical pharmacist applying a validated 5-step tool to identify opportunities to reduce medication complexity (eg, by administering medications at the same time or through use of longer-acting or combination formulations). Residents in the comparison group received routine care. The primary outcome at 4-month follow-up was the number of administration times per day for medications charted regularly. Resident satisfaction and quality of life were secondary outcomes. Harms included falls, medication incidents, hospitalizations, and mortality. The association between the intervention and primary outcome was estimated using linear mixed models.

RESULTS

Overall, 99 residents participated in the intervention arm and 143 in the comparison arm. At baseline, the mean resident age was 86 years, 74% were female, and medications were taken an average of 4 times daily. Medication simplification was possible for 62 (65%) residents in the intervention arm, with 57 (62%) of 92 simplification recommendations implemented at follow-up. The mean number of administration times at follow-up was reduced in the intervention arm in comparison to usual care (-0.36, 95% confidence interval -0.63 to -0.09, P = .01). No significant changes in secondary outcomes or harms were observed.

CONCLUSIONS AND IMPLICATIONS

One-off application of a structured tool to reduce regimen complexity is a low-risk intervention to reduce the burden of medication administration in RACFs and may enable staff to shift time to other resident care activities.

Association of Hospital Readmissions and Survivability With Frailty and Palliative Performance Scores Among Long-Term Care Residents

BACKGROUND

Frailty and palliative performance scores are 2 markers used in the measurement of functional decline in oncology and hospice care.

OBJECTIVE

To evaluate the frailty and palliative performance scores of a long-term care resident community and determine whether frailty and palliative performance scores can predict hospital readmissions (HR) and survivability of the long-term care resident.

METHODS

One hundred seventy-one long-term care residents from 2 urban facilities were evaluated for functional decline using the Clinical Frailty Scale (CFS) and Palliative Performance Scale (PPS). Sociodemographic, HR, and survival data for 1 year from study initiation were recorded.

RESULTS

The 171 long-term care residents, of lower socioeconomic status, primarily Medicare/Medicaid or dual-eligible, evaluated for functional decline using the CFS and PPS, had mean age of 73.1 years, 52.6% female, 94.7% African American, with 18.1% having HR and 87.1% surviving more than a year. There was a negative association between age and HR (P = .384). Among functional evaluation scales, CFS was positively associated with age (P = .013) but not PPS (P = .673). The residents scored 6.0 ± 1.2 on CFS and 52.8 ± 13.2 on PPS (%) with those residents readmitted to hospital having poorer outcomes. Readmission to hospital and survivability of the long-term care resident were both strongly associated with CFS (P = .001) and PPS (P = .001).

CONCLUSION

There is a strong association between the 2 markers used in the measurement of functional decline-Frailty measured by CFS and Palliative Performance Score measured by PPS. Frailty and palliative performance scores can strongly predict HR and survivability of the long-term care resident.

Prediction of Death with the FRAIL-NH in Institutionalized Older Adults: A Longitudinal Study from a Middle-Income Country

BACKGROUND/OBJECTIVES

Frailty is common in nursing homes. However, few studies reported longitudinal validation for death prediction or cut-off scores with the FRAIL-NH, which is designed to be used in nursing homes. Moreover, no studies came from Latin America, where frailty is highly prevalent. Our objectives were to evaluate (1) the prevalence of frailty according to the FRAIL-NH scale, and (2) its association to and the best cut-off score for predicting death after 12 months.

DESIGN

longitudinal study with 12-month follow-up.

SETTING

6 nursing homes in southwest of Brazil.

PARTICIPANTS

293 residents with 60 years old or more.

METHODS

Frailty was evaluated through the FRAIL-NH scale. Logistic regression was used to estimate the associated between frailty and mortality adjusted for age and sex. ROC curve was used to evaluate the accuracy of the scale for mortality prediction.

RESULTS

Frailty was prevalent (47.4%) and was associated with death (odds ratio=1.31, 95% confidence interval [CI]=1.18-1.48, p<0.001). The area under the curve was 0.741 (95%CI=0.68-0.79). The sensitivity and specificity of the FRAIL-NH scale according to the best value of the Youden Index was 72.9% and 66.5%, respectively, for a cut-off > 8 points.

CONCLUSIONS

Frailty is prevalent in nursing homes according to the FRAIL-NH and it was associated with one-year prediction of death for a cut-off > 8 points.

The Incremental Health Care Costs of Frailty Among Home Care Recipients With and Without Dementia in Ontario, Canada: A Cohort Study

OBJECTIVE

In this study, we investigated the incremental 1-year direct costs of health care associated with frailty among home care recipients in Ontario with and without dementia.

METHODS

We conducted a cohort study of 159,570 home care clients aged 50 years and older in Ontario, Canada in 2014/2015. At index home care assessment, we ascertained dementia status using a validated algorithm and frailty level (robust, prefrail, frail) based on the proportion of accumulated to potential health deficits. Clients were followed for 1-year during which we obtained direct overall and sector-specific publicly-funded health care costs (in 2015 Canadian dollars). We estimated the incremental effect of frailty level on costs using a 3-part survival- and covariate-adjusted estimator. All analyses were stratified by dementia status.

RESULTS

Among those with dementia (n=42,828), frailty prevalence was 32.1% and the average 1-year cost was $30,472. The incremental cost of frailty (vs. robust) was $10,845 [95% confidence interval (CI): $10,112-$11,698]. Among those without dementia (n=116,742), frailty prevalence was 25.6% and the average 1-year cost was $28,969. Here, the incremental cost of frailty (vs. robust) was $12,360 (95% CI: $11,849-$12,981). Large differences in survival between frailty levels reduced incremental cost estimates, particularly for the dementia group (survival effect: -$2742; 95% CI: -$2914 to -$2554).

CONCLUSIONS

Frailty was associated with greater 1-year health care costs for persons with and without dementia. This difference was driven by a greater intensity of health care utilization among frail clients. Mortality differences across the frailty levels mitigated the association especially among those with dementia.

Trajectories of Long-Term Residential Care Needs Among Older Australian Women: A Cohort Study Using Linked Data

OBJECTIVE

Older women are more likely than men to enter residential aged care (RAC) and generally stay longer. We aimed to identify and examine their trajectories of care needs over time in RAC across 3 fundamental care needs domains, including activities of daily living (ADL), behavior, and complex health care.

DESIGN

Population-based longitudinal cohort study.

SETTING

RAC facilities in Australia.

PARTICIPANTS

A total of 3519 participants from the 1921-1926 birth cohort of the Australian Longitudinal Study on Women's Health (ALSWH), who used permanent RAC between 2008 and 2014.

METHODS

We used data from the Aged Care Funding Instrument, National Death Index, and linked ALSWH survey. Participants' care needs in the 3 domains were followed every 6 months up to 60 months from the date of admission to RAC. Trajectories of care needs over time were identified using group-based multitrajectory modeling.

RESULTS

Five distinct trajectory groups were identified, with large variation in the combinations of levels of care needs over time. Approximately 28% of residents belonged to the "high dependent-behavioral and complex need" group, which had high care needs in all 3 domains over time, whereas around one-third of residents (31%) were included in 2 trajectory groups ("less dependent-low need" and "less dependent-increasing need"), which had low or low to medium care needs over time. More than two-fifths of residents (41%) comprised 2 trajectory groups ("high dependent-complex need" and "high dependent-behavioral need"), which had medium to high care needs in 2 domains. Higher age at admission to RAC and multiple morbidities were associated with increased odds of being a member of the high dependent-complex need group than the less dependent-increasing need group.

CONCLUSIONS AND IMPLICATIONS

Identification of the differential trajectories of care needs among older women in RAC will help to better understand the circumstances of their changing care needs over time. This will facilitate appropriate care planning and service delivery for RAC residents, who are mostly older women.

Medication Regimen Complexity In 8 Australian Residential Aged Care Facilities: Impact Of Age, Length Of Stay, Comorbidity, Frailty, And Dependence In Activities Of Daily Living

Objective

To explore variation in medication regimen complexity in residential aged care facilities (RACFs) according to resident age, length of stay, comorbidity, dementia severity, frailty, and dependence in activities of daily living (ADLs), and compare number of daily administration times and Medication Regimen Complexity Index (MRCI) as measures of regimen complexity.

Methods

This study was a cross-sectional analysis of baseline data from the SImplification of Medications Prescribed to Long-tErm care Residents (SIMPLER) cluster-randomized controlled trial. The SIMPLER study recruited 242 residents with at least one medication charted for regular administration from 8 RACFs in South Australia. Comorbidity was assessed using the Charlson Comorbidity Index (CCI). Dementia severity was assessed using the Dementia Severity Rating Scale. Frailty was assessed using the FRAIL-NH scale. Dependence in ADLs was assessed using the Katz ADL scale.

Results

The median age of participants was 87 years (interquartile range 81–92). Over one-third of participants (n=86, 36%) had 5 or more daily medication administration times. The number of daily administration times and MRCI scores were positively correlated with resident length of stay (r_s=0.19; 0.27), FRAIL-NH score (r_s=0.23; 0.34) and dependence in ADLs (r_s=−0.21; −0.33) (all p<0.01). MRCI was weakly negatively correlated with CCI score (r_s=−0.16; p=0.013). Neither number of daily administration times nor MRCI score were correlated with age or dementia severity. In multivariate analysis, frailty was associated with number of daily administration times (OR: 1.13, 95% CI: 1.03–1.24) and MRCI score (OR: 1.26, 95% CI: 1.13–1.41). Dementia severity was inversely associated with both multiple medication administration times (OR: 0.97, 95% CI: 0.94–0.99) and high MRCI score (OR: 0.95, 95% CI: 0.92–0.98).

Conclusion

Residents with longer lengths of stay, more dependent in ADLs and most frail had the most complex medication regimens and, therefore, may benefit from targeted strategies to reduce medication regimen complexity.

Atrial Fibrillation in Older People: Concepts and Controversies

Atrial fibrillation (AF) is the commonest cardiac rhythm abnormality and has a significant disease burden. Amongst its devastating complications is stroke, the risk of which increases with age. The stroke risk in an older person with AF is therefore tremendous, and oral-anticoagulation (OAC) therapy is central to minimizing this risk. The presence of age-associated factors such as frailty and multi-morbidities add complexity to OAC prescription decisions in older patients and often, OAC is needlessly withheld from them despite a lack of evidence to support this practice. Generally, this is driven by an over-estimation of the bleeding risk. This review article provides an overview of the concepts and controversies in managing AF in older people, with respect to the existing evidence and current practice. A literature search was conducted on Pubmed and Cochrane using keywords, and relevant articles published by the 1st of May 2019 were included. The article will shed light on common misconceptions that appear to serve as rationale for precluding OAC and focus on clinical considerations that may aid OAC prescription decisions where appropriate, to optimize AF management using an integrated, multi-disciplinary care approach. This is crucial for all patients, particularly older individuals who are most vulnerable to the deleterious consequences of this condition.

Prediction of chemotherapy adverse reactions and mortality in older patients with primary lung cancer through frailty index based on routine laboratory data

Objectives

To assess the role of a pre-chemotherapy frailty index based on routine laboratory data in predicting mortality and chemotherapy adverse reactions among older patients with primary lung cancer.

Design

Retrospective cohort study.

Setting

West China Hospital, Chengdu, China.

Participants

We included patients aged ≥60 years with primary lung cancer receiving the first course of chemotherapy.

Measurements

Data were collected from medical records, local government death databases or telephone interviews. Outcomes included chemotherapy adverse reactions and all-cause mortality. We constructed a frailty index based on 44 laboratory variables (FI-LAB) before chemotherapy, and chose the following cutoff points: robust (0.0-0.2), pre-frail (0.2-0.35) and frail (≥0.35).

Results

We included 1,020 patients (71.4% male; median age: 65 years old). Both pre-frailty and frailty was associated with any chemotherapy adverse reactions and infections during chemotherapy (OR=3.48, 95%CI: 1.77-6.87; OR=3.58, 95%CI: 1.55-8.26, respectively). Frail patients had a shorter median overall survival rate compared to robust patients (18.05 months vs 38.89 months, log-rank p<0.001). After adjusting for some potential confounding variables, the risk of all-cause mortality was dramatically increased in frail patients (HR:2.13, 95% CI:1.51-3.00) with an average follow-up of 3.9 years. Each 0.01 or per standard deviation (SD) increase in the FI-LAB value significantly increased the HR of death by 2.0% (HR:1.02, 95% CI: 1.01-1.03) and 23.0% (HR: 1.23, 95% CI: 1.13-1.34), respectively.

Conclusions

Frailty assessed by routine laboratory data indicates increased risks of chemotherapy adverse reactions and death in older patients with primary lung cancer receiving the first course of chemotherapy.

How do potentially inappropriate medications and polypharmacy affect mortality in frail and non-frail cognitively impaired older adults? A cohort study

OBJECTIVES

To test whether the use of potentially inappropriate central nervous system acting medications, proton pump inhibitors (PPIs) or polypharmacy are associated with mortality in cognitively impaired older adults and whether frailer people are at greater risk of harm.

SETTING

A cohort study nested within the Cognitive Function and Ageing Study II, a population representative cohort study of the older population in Cambridgeshire, Nottingham and Newcastle, UK.

PARTICIPANTS

A total of 1154 cognitively impaired participants, aged 65 years or older.

EXPOSURES

Any use of antipsychotics, antidepressants, other anticholinergic medication, benzodiazepines or PPIs, polypharmacy (5-9) and hyperpolypharmacy (≥10 reported medications) were ascertained at baseline. Frailty was assessed using the Fried criteria.

PRIMARY OUTCOME

Mortality up to 8 years follow-up. HRs associated with potentially inappropriate medication (PIM), frailty and their interaction were estimated adjusting for covariates.

RESULTS

Within the sample, 44% were taking one or more PIM. Apart from antipsychotics (adjusted HR=3.24, 95% CI 1.83 to 5.73), use of specific PIM was not associated with greater subsequent mortality. Polypharmacy (HR=1.17, 95% CI 0.95 to 1.45) and hyperpolypharmacy were associated with mortality (HR=1.60, 95% CI 1.16 to 2.22). Being frail (HR=1.90, 95% CI 1.32 to 2.72) or prefrail (HR=1.56, 95% CI 1.10 to 2.20) was associated with increased mortality. There was some evidence that the HR for polypharmacy on mortality was lower among frailer individuals, but the overall polypharmacy by frailty interaction was not statistically significant (p=0.102).

CONCLUSIONS

For those with cognitive impairment, greater concern should be afforded to the number of medications than the prescription of specific classes. Frailer individuals may have a lower relative risk of mortality associated with polypharmacy than less frail individuals.