Frailty and mortality: an 18-year follow-up study among Finnish community-dwelling older people

Psychometric Properties of the FRAIL Scale for Frailty Screening: A Scoping Review

OBJECTIVES

The aim of this study was to identify and map the available psychometric evidence of the FRAIL scale to screen frailty among older adults.

DESIGN

Scoping review of published articles on 9 databases (PubMed, Scopus, Web of Science, CINAHL, Cochrane, Embase, PsycINFO, VHL Regional Portal, and Epistemonikos) and 8 gray literature sources.

SETTING AND PARTICIPANTS

Studies in adults or older adults, in both inpatient and outpatient settings (without context restrictions).

METHODS

Cross-cultural adaptations, validity and reliability evidence studies, whose main objective was to develop and/or validate and/or culturally adapt the FRAIL Scale to assess frailty in adults or older adults, published since 2007 were included in this scoping review. The databases were searched between February and March 2023.The JBI methodology for scoping reviews was used to guide the process. The protocol of this study was registered on the Open Science Framework platform.

RESULTS

Of the 1031 records found during the search, 40 articles that met the established criteria for analysis were included. Nearly 1 in 10 countries worldwide (11.9%) have psychometric evidence regarding this scale. Ten studies were identified with the goal of cross-cultural adaptation and/or validation in a different cultural context for the first time. Twenty-one of 40 studies used Morley 2012 operationalization of FRAIL Scale criteria. Thirty-nine studies provided evidence of associations with other variables. The rest of the evidence for content, internal structure, response processes, and reliability was only evaluated in cross-cultural adaptation studies, with limitations.

CONCLUSIONS AND IMPLICATIONS

In conclusion, there is some evidence of validity for FRAIL Scale; nevertheless, studies are needed to adapt the scale to new cultures, using rigorous Cross-Cultural Adaptation processes, and to provide new evidence of validity and reliability, to strengthen and consolidate the body of knowledge for its application to various patient groups and context.

Diagnostic Accuracy of the FRAIL Scale, Groningen Frailty Indicator, Tilburg Frailty Indicator, and PRISMA-7 for Frailty Screening Among Older Adults in Community Settings: A Systematic Review and Network Meta-Analysis

BACKGROUND AND OBJECTIVES

This study aimed to investigate the diagnostic accuracy of four questionnaire-based tools (i.e., the FRAIL scale, Groningen Frailty Indicator [GFI], Tilburg Frailty Indicator [TFI], and PRISMA-7) for screening frailty in older adults.

RESEARCH DESIGN AND METHODS

The 4 databases comprising the Cumulative Index to Nursing and Allied Health Literature, Embase, PubMed, and ProQuest were searched from inception to June 20, 2023. Study quality comprising risks of bias and applicability was assessed via a QUADAS-2 questionnaire. A bivariate network meta-analysis model and Youden's index were performed to identify the optimal tool and cutoff points.

RESULTS

In total, 20 studies comprising 13 for FRAIL, 7 for GFI, 6 for TFI, and 5 for PRISMA-7 were included. Regarding study quality appraisal, all studies had high risks of bias for study quality assessment domains. Values of the pooled sensitivity of the FRAIL scale, GFI, TFI, and PRISMA-7 were 0.58, 0.74, 0.66, and 0.73, respectively. Values of the pooled specificity of the FRAIL scale, GFI, TFI, and PRISMA-7 were 0.92, 0.77, 0.84, and 0.86, respectively. The Youden's index was obtained for the FRAIL scale with a cutoff of 2 points (Youden's index = 0.65), indicating that the FRAIL scale with a cutoff of 2 points was the optimal tool for frailty screening in older adults.

DISCUSSION AND IMPLICATIONS

The FRAIL scale comprising 5 self-assessed items is a suitable tool for interview older adults for early frailty detection in community settings; it has the advantages of being short, simple, and easy to respond to.

Frailty, but not cognitive impairment, improves mortality risk prediction among those with chronic kidney disease-a nationally representative study

BACKGROUND

Though older adults with chronic kidney disease (CKD) have a greater mortality risk than those without CKD, traditional risk factors poorly predict mortality in this population. Therefore, we tested our hypothesis that two common geriatric risk factors, frailty and cognitive impairment, and their co-occurrence, might improve mortality risk prediction in CKD.

METHODS

Among participants aged ≥ 60 years from National Health and Nutrition Examination Survey (2011-2014), we quantified associations between frailty (physical frailty phenotype) and global/domain-specific cognitive function (immediate-recall [CERAD-WL], delayed-recall [CERAD-DL], verbal fluency [AF], executive function/processing speed [DSST], and global [standardized-average of 4 domain-specific tests]) using linear regression, and tested whether associations differed by CKD using a Wald test. We then tested whether frailty, global cognitive impairment (1.5SD below the mean), or their combination improved prediction of mortality (Cox models, c-statistics) compared to base models (likelihood-ratios) among those with and without CKD.

RESULTS

Among 3,211 participants, 1.4% were cognitively impaired, and 10.0% were frail; frailty and cognitive impairment co-occurrence was greater among those with CKD versus those without (1.2%vs.0.1%). Frailty was associated with worse global cognitive function (Cohen's d = -0.26SD,95%CI -0.36,-0.17), and worse cognitive function across all domains; these associations did not differ by CKD (pinteractions > 0.05). Mortality risk prediction improved only among those with CKD when accounting for frailty (p[likelihood ratio test] < 0.001) but not cognitive impairment.

CONCLUSIONS

Frailty is associated with worse cognitive function regardless of CKD status. While CKD and frailty improved mortality prediction, cognitive impairment did not. Risk prediction tools should incorporate frailty to improve mortality prediction among those with CKD.

Correlation Between Anesthesia Methods and Adverse Short-Term Postoperative Outcomes Depending on Frailty: A Prospective Cohort Study

Purpose

This study aims to investigate how the type of anesthesia used during major orthopedic surgery may impact adverse short-term postoperative outcomes depending on frailty.

Methods

To conduct this investigation, we recruited individuals aged 65 years and older who underwent major orthopedic surgery between March 2022 and April 2023 at a single institution. We utilized the FRAIL scale to evaluate frailty. The primary focus was on occurrences of death or the inability to walk 60 days after the surgery. Secondary measures included death within 60 days; inability to walk without human assistance at 60 days; death or the inability to walk without human assistance at 30 days after surgery, the first time out of bed after surgery, postoperative blood transfusion, length of hospital stay, hospital costs, and the occurrence of surgical complications such as dislocation, periprosthetic fracture, infection, reoperation, wound complications/hematoma.

Results

In a study of 387 old adult patients who had undergone major orthopedic surgery, 41.3% were found to be in a frail state. Among these patients, 262 had general anesthesia and 125 had neuraxial anesthesia. Multifactorial logistic regression analyses showed that anesthesia type was not linked to complications. Instead, frailty (OR 4.04, 95% CI 1.04 to 8.57, P< 0.001), age (OR 1.05, 95% CI 1.00-1.10, P= 0.017), and aCCI scores, age-adjusted Charlson Comorbidity Index, (OR 1.36, 95% CI 1.12 to 1.66, P= 0.002) were identified as independent risk factors for death or new walking disorders in these patients 60 days after surgery. After adjusting for frailty, anesthesia methods was not associated with the development of death or new walking disorders in these patients (P > 0.05).

Conclusion

In different frail populations, neuraxial anesthesia is likely to be comparable to general anesthesia in terms of the incidence of short-term postoperative adverse outcomes.

Comparing four frailty assessment tools against seven-year mortality in the Malaysian elders longitudinal research study

AIM

Several frailty assessment tools are currently used in clinics and research, however, there appears to be a lack of head-to-head comparisons between these tools among older adults in developing countries. This study compared the Cardiovascular Health Study, Study of Osteoporotic Fractures, the Tilburg Frailty Indicator and the Canadian Study of Health and Aging frailty assessment tools and evaluated performance of these individual frailty assessment tools with mortality.

METHODS

This prospective cohort study utilized stratified simple random sampling to recruit 1614 participants from the Malaysian Elders Longitudinal Research aged above 55 years within the Klang Valley region from 2013 to 2015. Individual items for the frailty tools, alongside baseline physical and cognitive measures were extracted from the initial survey. Mortality data up to 31 December 2020 were obtained through data linkage from the death registry data obtained from the Malaysian National Registration Department.

RESULTS

Data were available for over 1609 participants, age (68.92 ± 7.52) years and 57 % women, during recruitment. Mortality data revealed 13.4 % had died as of 31 December 2020. Five to 25 % of our study population fulfilled the criteria for frailty using all four frailty tools. This study found an increased risk of mortality with frailty following adjustments for potential factors of falls, total number of illnesses and cognitive impairment, alongside moderate to strong correlation and agreement between frailty tools.

CONCLUSION

Frailty was associated with increased mortality. All four frailty assessment tools can be used to assess frailty within the Malaysian older adult population. The four available tools, however, may not be interchangeable.

Frailty trajectories in ICU survivors: A comparison between the clinical frailty scale and the Tilburg frailty Indicator and association with 1 year mortality

PURPOSE

To test the agreement of the Clinical Frailty Scale (CFS) and the Tilburg Frailty Indicator (TFI), their association with 3, 6 months and 1-year mortality and the trajectory of frailty in a mixed population of ICU survivors.

MATERIAL AND METHODS

This is a prospective, multicenter, longitudinal study on ICU survivors ≥18 years old with an ICU stay >72 h. For each patient, sociodemographic and clinical data were collected. Frailty was assessed during ICU stay and at 3, 6, 12 months after ICU discharge, through both CFS and TFI.

RESULTS

124 patients with a mean age of 66 years old were enrolled. The baseline prevalence of frailty was 15.3% by CFS and 44.4% by TFI. Baseline CFS and TFI correlated but showed low agreement (Cohen's K = 0.23, p < 0.001). Baseline CFS score, but not TFI, was significantly associated to 1 year mortality. Moreover, CFS score during the follow-up was independently associated 1-year mortality (OR = 1.43; 95% CI: 1.18-1.73).

CONCLUSIONS

CFS and TFI identify different populations of frail ICU survivors. Frail patients before ICU according to CFS have a significantly higher mortality after ICU discharge. The CFS during follow-up is an independent negative prognostic factor of long-term mortality in the ICU population.

Multimorbidity Pattern and Risk for Mortality Among Patients With Dementia: A Nationwide Cohort Study Using Latent Class Analysis

OBJECTIVE

Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk.

METHODS

This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate.

RESULTS

With adjustment for age, a three-class model was identified, with 42.7% of participants classified as "low comorbidity class (cluster 1)", 44.2% as "cardiometabolic multimorbidity class (cluster 2)", and 13.1% as "FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract)." The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708-14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281-1.953; p<0.001) in cluster 3.

CONCLUSION

Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.

Prediction of adverse health outcomes using an electronic frailty index among nonfrail and prefrail community elders

BACKGROUND

Early recognition of older people at risk of undesirable clinical outcomes is vital in preventing future disabling conditions. Here, we report the prognostic performance of an electronic frailty index (eFI) in comparison with traditional tools among nonfrail and prefrail community-dwelling older adults. The study is to investigate the predictive utility of a deficit-accumulation eFI in community elders without overt frailty.

METHODS

Participants aged 65-80 years with a Clinical Frailty Scale of 1-3 points were recruited and followed for 2 years. The eFI score and Fried's frailty scale were determined by using a semiautomated platform of self-reported questionnaires and objective measurements which yielded cumulative deficits and physical phenotypes from 80 items of risk variables. Kaplan-Meier method and Cox proportional hazards regression were used to analyze the severity of frailty in relation to adverse outcomes of falls, emergency room (ER) visits and hospitalizations during 2 years' follow-up.

RESULTS

A total of 427 older adults were evaluated and dichotomized by the median FI score. Two hundred and sixty (60.9%) and 167 (39.1%) elders were stratified into the low- (eFI ≤ 0.075) and the high-risk (eFI > 0.075) groups, respectively. During the follow-up, 77 (47.0%) individuals developed adverse events in the high-risk group, compared with 79 (30.5%) in the low-risk group (x2, p = 0.0006). In multivariable models adjusted for age and sex, the increased risk of all three events combined in the high- vs. low-risk group remained significant (adjusted hazard ratio (aHR) = 3.08, 95% confidence interval (CI): 1.87-5.07). For individual adverse event, the aHRs were 2.20 (CI: 1.44-3.36) for falls; 1.67 (CI: 1.03-2.70) for ER visits; and 2.84 (CI: 1.73-4.67) for hospitalizations. Compared with the traditional tools, the eFI stratification (high- vs. low-risk) showed better predictive performance than either CFS rating (managing well vs. fit to very fit; not discriminative in hospitalizations) or Fried's scale (prefrail to frail vs. nonfrail; not discriminative in ER visits).

CONCLUSION

The eFI system is a useful frailty tool which effectively predicts the risk of adverse healthcare outcomes in nonfrail and/or prefrail older adults over a period of 2 years.

Bidirectional Association Between Frailty and Cardiac Structure and Function: The Atherosclerosis Risk in Communities Study

Background Frailty and heart failure frequently coexist in late life. Limited data exist regarding the longitudinal associations of frailty and subclinical cardiac dysfunction. We aim to quantify the association of frailty with longitudinal changes in cardiac function and of cardiac function with progression in frailty status in older adults. Methods and Results Participants in the Atherosclerosis Risk in Communities cohort underwent frailty assessments at Visit 5 (V5; 2011-2013), V6 (2016-2017), and V7 (2018-2019), and echocardiographic assessments at V5 and V7. We assessed the association between frailty status at V5 and changes in frailty status from V5 to V7 and changes in cardiac function over 6 years. We then evaluated the association of cardiac function measured at Visit 5 with progression in frailty status over 4 years. Multivariable regression models adjusted for demographics and comorbidities. Among 2574 participants free of heart failure at V5 and V7 (age 74±4 years at V5 and 81±4 years at V7), 3% (n=83) were frail. Frailty at V5 was associated with greater left atrial volume index and E/e' ratio at V5 and 7. Participants who transitioned from robust at V5 to frail at V7 demonstrated greater increases in left ventricular mass index, left atrial volume index, and E/e' over the same period. Among 1648 robust participants at Visit 5, greater left ventricular mass index and mean wall thickness, lower tissue Doppler imaging e', and higher E/e' ratio at Visit 5 were associated with progression in frailty status. Conclusions Among robust, older adults free of heart failure, progression in frailty and subclinical left ventricular remodeling and diastolic dysfunction are interrelated.

Re-examination of successful agers with lower biological than chronological age still after a 20-year follow-up period

BACKGROUND

Successful ageing is the term often used for depicting exceptional ageing but a uniform definition is lacking. The aim was to re-examine and describe the successful agers living at home at the age of 84 years or over after a 20-year follow-up. The purpose was also to identify possible factors leading to their successful ageing.

METHODS

Successful ageing was defined as the ability to live at home without daily care. Data on the participants' functional ability, objective health, self-rated health and satisfaction with life were gathered at baseline and after a 20-year follow-up period. A measurement of personal biological age (PBA) was established and the difference between the PBA and the chronological age (CA) was counted.

RESULTS

The participants' mean age was 87.6 years (Standard deviation 2.5, range 84-96). All analyzed variables depicted poorer physical ability and subjective health at re-examination than at baseline. Still, 99% of the participants were at least moderately satisfied with their lives. The PBA at baseline was 6.5 years younger than CA, and at re-examination, the difference was even more pronounced at 10.5 years.

DISCUSSION

Even though the participants were chronologically older, had poorer physical ability and subjective health, they were still satisfied with their lives indicating possible psychological resilience. The difference between the PBA and CA was greater at re-examination than at baseline indicating that they were also biologically successful agers.

CONCLUSIONS

Successful agers were satisfied with life despite hardships and had a lower biological than chronological age. Further research is needed to evaluate causality.

Senior Health Clinic for 75-year-old home-dwelling Finns - study design, clinic protocol and non-response analysis

BACKGROUND

In the Finnish policy on older people preventive activities, which maintain functional capacity and independent living, are emphasized. The Turku Senior Health Clinic, aimed at maintaining independent coping of all home-dwelling 75-year-old citizens in the city of Turku, was founded in the beginning of 2020. The aim of this paper is to describe design and protocol of the Turku Senior Health Clinic Study (TSHeC) and provide results of the non-response analysis.

METHODS

The non-response analysis used data from 1296 participants (71% of those eligible) and 164 non-participants of the study. Sociodemographic, health status, psychosocial and physical functional ability indicators were included in the analysis. Participants and non-participants were also compared in respect to their neighborhood socioeconomic disadvantage. Differences between participants and non-participants were tested using the Chi squared or Fisher´s exact test for categorical variables and t-test for continuous variable.

RESULTS

The proportions of women (43% vs. 61%) and of those with only satisfying, poor or very poor self-rated financial status (38% vs. 49%) were significantly lower in non-participants than in participants. Comparison of the non-participants and participants in respect to their neighborhood socioeconomic disadvantage showed no differences. The prevalence of hypertension (66% vs. 54%), chronic lung disease (20% vs. 11%), and kidney failure (6% vs. 3%) were higher among non-participants compared to participants. Feelings of loneliness were less frequent among non-participants (14%) compared to participants (32%). The proportions of those using assistive mobility devices (18% vs. 8%) as well as those having previous falls (12% vs. 5%) were higher in non-participants than in participants.

CONCLUSIONS

The participation rate of TSHeC was high. No neighborhood differences in participation were found. Health status and physical functioning of non-participants seemed to be slightly worse than those of the participants, and more women than men participated. These differences may weaken the generalizability of the findings of the study. The differences have to be taken into account when recommendation for the content and implementation of preventive nurse-managed health clinic in primary health care in Finland is going to be given.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05634239; registration date; 1st of December 2022. Retrospectively registered.

A novel easy-to-use index to predict institutionalization and death in older population - a 10-year population-based follow-up study

BACKGROUND

Various indexes have been developed to estimate the risk for mortality, institutionalization, and other adverse outcomes for older people. Most indexes are based on a large number of clinical or laboratory parameters. An index based on only a few parameters would be more practical to use in every-day clinical practice. Our aim was to create an index to predict the risk for mortality and institutionalization with as few parameters as possible without compromising their predictive ability.

METHODS

A prospective study with a 10-year follow-up period. Thirty-six clinical and fourteen laboratory parameters were combined to form an index. Cox regression model was used to analyze the association of the index with institutionalization and mortality. A backward statistical method was used to reduce the number of parameters to form an easy-to-use index for predicting institutionalization and mortality.

RESULTS

The mean age of the participants (n = 1172) was 73.1 (SD 6.6, range 64‒97) years. Altogether, 149 (14%) subjects were institutionalized, and 413 (35%) subjects deceased during the follow-up. Institutionalization and mortality rates increased as index scores increased both for the large 50-parameter combined index and for the reduced indexes. After a backward variable selection in the Cox regression model, three clinical parameters remained in the index to predict institutionalization and six clinical and three laboratory parameters in the index to predict mortality. The reduced indexes showed a slightly better predictive value for both institutionalization and mortality compared to the full index.

CONCLUSIONS

A large index with fifty parameters included many unimportant parameters that did not increase its predictive value, and therefore could be replaced with a reduced index with only a few carefully chosen parameters, that were individually associated with institutionalization or death.

Assessing Social Inequalities in Older Family Caregivers' Frailty Conditions, Comorbidity, and Cognitive Functioning: A Cross-sectional Study

We aimed to assess the social inequalities in older family caregivers' frailty conditions, comorbidity, and cognitive functioning. A cross-sectional study was conducted. Study participants were recruited in 2019 in Finland. First, cognitive functioning was assessed with a Mini-Mental State Examination, comorbidity with the modified Functional Comorbidity Index, and frailty conditions were evaluated using the abbreviated Comprehensive Geriatric Assessment. Study participants were also interviewed on socioeconomic factors. The social inequalities in these health outcomes were assessed using the Independent Samples t-test, Pearson Chi-square test, and Binary Logistic Regression Analysis. Family caregivers' (n = 125) mean age was 74, and 73% had frailty conditions. Family caregivers' social inequalities in frailty conditions were linked to their older age and the lowest caregiving cash benefit. Family caregivers' low educational attainment was also the main factor predicting their minor cognitive impairment. Family caregivers' social determinants of health should be fully assessed in their health assessment, policies, and programs to ensure healthy aging for both family caregivers and care recipients in the future.

Relationship of hearing impairment, social participation and depressive symptoms to the incidence of frailty in a community cohort

BACKGROUND

The mediating effect of social participation and depressive symptoms on the relationship between hearing impairment and frailty remains unclear.

METHODS

A total of 3981 participants from three waves of the China Health and Retirement Longitudinal Study (CHARLS) were included. The outcome was incidental frailty. Hearing impairment, social participation, and depressive symptoms were the main variables. Cox regression models and structural equation models were adopted to examine the relationship between hearing impairment, social participation, depressive symptoms, and the incidence of frailty, with adjustments for demographic characteristics and lifestyle variables at baseline.

RESULTS

Hearing impairment (hazard ratio [HR] 1.31, 95% confidence interval [CI] 1.12, 1.74), social participation (HR 0.72, 95% CI 0.55, 0.94), and depressive symptoms (HR 1.78, 95% CI 1.37, 2.30) were associated with the incidence of frailty. Hearing impairment was associated with frailty not only through social participation (β = 0.015, 95% CI 0.003, 0.037) and depressive symptoms (β = 0.070, 95% CI 0.037, 0.116) separately but also through social participation and depressive symptoms sequentially (β = 0.002, 95% CI 0.001, 0.004). Furthermore, the effect of social participation on frailty occurred in participants with hearing impairment, while the effect of depressive symptoms on frailty occurred in participants with normal hearing status.

CONCLUSIONS

Hearing impairment is associated with frailty, in which social participation and depressive symptoms partly mediate the association. The effect of social participation and depressive symptoms on frailty varies across hearing statuses. Integrated and comprehensive intervention measures, including hearing screenings, promoting social participation, and improving depressive symptoms, are suggested to prevent frailty.

Frailty and risks of all-cause and cause-specific death in community-dwelling adults: a systematic review and meta-analysis

Background

The associations of frailty with all-cause and cause-specific mortality remain unclear. Therefore, we performed this meta-analysis to fill this gap.

Methods

We searched the PubMed and Embase databases through June 2022. Prospective cohort studies or clinical trials examining frailty were evaluated, and the multiple adjusted risk estimates of all-cause and cause-specific mortality, such as death from cardiovascular disease (CVD), cancer, respiratory illness, dementia, infection, and coronavirus disease 2019 (COVID-19), were included. A random effects model was used to calculate the summary hazard ratio (HR).

Results

Fifty-eight studies were included for the qualitative systematic review, of which fifty-six studies were eligible for the quantitative meta-analysis, and the studies included a total of 1,852,951 individuals and more than 145,276 deaths. Compared with healthy adults, frail adults had a significantly higher risk of mortality from all causes (HR 2.40; 95% CI 2.17–2.65), CVD (HR 2.64; 95% CI 2.20–3.17), respiratory illness (HR 4.91; 95% CI 2.97–8.12), and cancer (HR 1.97; 95% CI 1.50–2.57). Similar results were found for the association between prefrail adults and mortality risk. In addition, based on the studies that have reported the HRs of the mortality risk per 0.1 and per 0.01 increase in the frailty index, we obtained consistent results.

Conclusions

The present study demonstrated that frailty was not only significantly related to an increased risk of all-cause mortality but was also a strong predictor of cause-specific mortality from CVD, cancer, and respiratory illness in community-dwelling adults. More studies are warranted to clarify the relationship between frailty and cause-specific mortality from dementia, infection, and COVID-19.

Trial registration

PROSPERO (CRD42021276021).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03404-w.

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.

Machine Learning Approaches for the Frailty Screening: A Narrative Review

Frailty characterizes a state of impairments that increases the risk of adverse health outcomes such as physical limitation, lower quality of life, and premature death. Frailty prevention, early screening, and management of potential existing conditions are essential and impact the elderly population positively and on society. Advanced machine learning (ML) processing methods are one of healthcare’s fastest developing scientific and technical areas. Although research studies are being conducted in a controlled environment, their translation into the real world (clinical setting, which is often dynamic) is challenging. This paper presents a narrative review of the procedures for the frailty screening applied to the innovative tools, focusing on indicators and ML approaches. It results in six selected studies. Support vector machine was the most often used ML method. These methods apparently can identify several risk factors to predict pre-frail or frailty. Even so, there are some limitations (e.g., quality data), but they have enormous potential to detect frailty early.

Associations of social isolation, social participation, and loneliness with frailty in older adults in Singapore: a panel data analysis

BACKGROUND

There is a shortage of research evidence about how social isolation, social participation, and loneliness were longitudinally associated with frailty. This study was to 1) examine the associations of social isolation, social participation, and loneliness with level of frailty among community-dwelling older adults using panel data, and 2) explore the moderating effect of gender on the association of social isolation, social participation and loneliness with frailty.

METHODS

The study included 606 participants aged 60 years and above from the longitudinal Population Health Index Survey conducted in Singapore. At each timepoint, level of frailty was determined using the Clinical Frailty Scale. Social isolation was assessed by the Lubben Social Network Scale-6, and loneliness was assessed using the three-item UCLA Loneliness Scale. Fixed-effects ordinal logistic regressions were conducted with level of frailty as the dependent variable and social isolation and loneliness as the independent variables, adjusting for time-varying socio-demographic, lifestyle, and health-related factors.

RESULTS

Increase in social participation was associated with lower level of frailty (odds ratio: 0.96, 95% confidence interval: 0.93-0.99) and feeling lonely was associated with higher level of frailty (odds ratio: 2.90, 95% confidence interval: 1.44-5.84). Social isolation was not associated with frailty. Gender did not have moderating effect on these associations.

CONCLUSIONS

This study observed that social isolation and loneliness had differential longitudinal association with level of frailty among community-dwelling older adults and suggested that loneliness and frailty should be measured and addressed concurrently among community-dwelling older adults.

Simple carbohydrate intake and higher risk for physical frailty over 15 years in community-dwelling older adults

Insulin resistance is a major mechanism involved in the onset of physical frailty (PF). Although rich carbohydrate diets may promote insulin resistance, few studies have examined their association with PF risk. This study aimed to investigate the spectrum of carbohydrate exposure, including carbohydrate intake (simple, complex, and total), glycemic load (measure of the diet-related insulin-demand), and adherence to a low-carbohydrate diet with the incident risk of PF in community-dwelling older adults. Baseline carbohydrate exposure was assessed in non-frail participants of the Three-City-Bordeaux cohort using a 24H dietary recall. Over 15 years of follow-up, participants were screened for PF, defined by the FRAIL scale (≥3 criteria out of Fatigue, Resistance, Ambulation, Illnesses, and weight Loss). Associations were estimated using mixed-effects logistic models adjusted for sex, age, education, smoking status, alcohol consumption, depressive symptomatology, global cognitive performances, and protein and energy intakes. The sample included 1,210 participants (62% females, mean age 76 years). Over the follow-up, 295 (24%) incident cases of PF were documented (28% in females, 18% in males). Higher intake of simple carbohydrates was significantly associated with greater odds of incident PF (per 1-SD increased: OR = 1.29; 95% CI = 1.02-1.62), specifically among males (OR = 1.52; 95% CI = 1.04-2.22). No association was observed with complex or total carbohydrate intake, glycemic load, or low-carbohydrate diet. Among the whole carbohydrate exposure, only higher consumption of simple carbohydrates in older age was associated with a higher risk of developing PF. Further studies are required to explore underlying mechanisms.

Subjective and objective health predicting mortality and institutionalization: an 18-year population-based follow-up study among community-dwelling Finnish older adults

BACKGROUND

Objective health measures, such as registered illnesses or frailty, predict mortality and institutionalization in older adults. Also, self-reported assessment of health by simple self-rated health (SRH) has been shown to predict mortality and institutionalization. The aim of this study was to assess the association of objective and subjective health with mortality and institutionalization in Finnish community-dwelling older adults.

METHODS

In this prospective study with 10- and 18-year follow-ups, objective health was measured by registered illnesses and subjective health was evaluated by simple SRH, self-reported walking ability (400 m) and self-reported satisfaction in life. The participants were categorized into four groups according to their objective and subjective health: 1. subjectively and objectively healthy, 2. subjectively healthy and objectively unhealthy, 3. subjectively unhealthy and objectively healthy and 4. subjectively and objectively unhealthy. Cox regression model was used in the analyses. Death was used as a competing factor in the institutionalization analyses.

RESULTS

The mean age of the participants (n = 1259) was 73.5 years (range 64.0-100.0). During the 10- and 18-year follow-ups, 466 (37%) and 877 (70%) died, respectively. In the institutionalization analyses (n = 1106), 162 (15%) and 328 (30%) participants were institutionalized during the 10- and 18-year follow-ups, respectively. In both follow-ups, being subjectively and objectively unhealthy, compared to being subjectively and objectively healthy, was significantly associated with a higher risk of institutionalization in unadjusted models and with death both in unadjusted and adjusted models.

CONCLUSIONS

The categorization of objective and subjective health into four health groups was good at predicting the risk of death during 10- and 18-year follow-ups, and seemed to also predict the risk of institutionalization in the unadjusted models during both follow-ups. Poor subjective health had an additive effect on poor objective health in predicting mortality and could therefore be used as part of an older individual's health evaluation when screening for future adverse outcomes.

Effect of longevity genetic variants on the molecular aging rate

We conducted a genome-wide association study of 1320 centenarians from the New England Centenarian Study (median age = 104 years) and 2899 unrelated controls using >9 M genetic variants imputed to the HRC panel of ~65,000 haplotypes. The genetic variants with the most significant associations were correlated to 4131 proteins that were profiled in the serum of a subset of 224 study participants using a SOMAscan array. The genetic associations were replicated in a genome-wide association study of 480 centenarians and ~800 controls of Ashkenazi Jewish descent. The proteomic associations were replicated in a proteomic scan of approximately 1000 Ashkenazi Jewish participants from a third cohort. The analysis replicated a protein signature associated with APOE genotypes and confirmed strong overexpression of BIRC2 (p < 5E-16) and under-expression of APOB in carriers of the APOE2 allele (p < 0.05). The analysis also discovered and replicated associations between longevity variants and slower changes of protein biomarkers of aging, including a novel protein signature of rs2184061 (CDKN2A/CDKN2B in chromosome 9) that suggests a genetic regulation of GDF15. The analyses showed that longevity variants correlate with proteome signatures that could be manipulated to discover healthy-aging targets.

Measuring frailty in younger populations: a rapid review of evidence

OBJECTIVES

Frailty is typically assessed in older populations. Identifying frailty in adults aged under 60 years may also have value, if it supports the delivery of timely care. We sought to identify how frailty is measured in younger populations, including evidence of the impact on patient outcomes and care.

DESIGN

A rapid review of primary studies was conducted.

DATA SOURCES

Four databases, three sources of grey literature and reference lists of systematic reviews were searched in March 2020.

ELIGIBILITY CRITERIA

Eligible studies measured frailty in populations aged under 60 years using experimental or observational designs, published after 2000 in English.

DATA EXTRACTION AND SYNTHESIS

Records were screened against review criteria. Study data were extracted with 20% of records checked for accuracy by a second researcher. Data were synthesised using a narrative approach.

RESULTS

We identified 268 studies that measured frailty in samples that included people aged under 60 years. Of these, 85 studies reported evidence about measure validity. No measures were identified that were designed and validated to identify frailty exclusively in younger groups. However, in populations that included people aged over and under 60 years, cumulative deficit frailty indices, phenotype measures, the FRAIL Scale, the Liver Frailty Index and the Short Physical Performance Battery all demonstrated predictive validity for mortality and/or hospital admission. Evidence of criterion validity was rare. The extent to which measures possess validity across the younger adult age (18-59 years) spectrum was unclear. There was no evidence about the impact of measuring frailty in younger populations on patient outcomes and care.

CONCLUSIONS

Limited evidence suggests that frailty measures have predictive validity in younger populations. Further research is needed to clarify the validity of measures across the adult age spectrum, and explore the utility of measuring frailty in younger groups.

Frailty, walking ability and self-rated health in predicting institutionalization: an 18-year follow-up study among Finnish community-dwelling older people

Background

In clinical practice, there is a need for an instrument to screen older people at risk of institutionalization.

Aims

To analyze the association of frailty, walking-ability and self-rated health (SRH) with institutionalization in Finnish community-dwelling older people.

Methods

In this prospective study with 10- and 18-year follow-ups, frailty was assessed using FRAIL Scale (FS) (n = 1087), Frailty Index (FI) (n = 1061) and PRISMA-7 (n = 1055). Walking ability was assessed as self-reported ability to walk 400 m (n = 1101). SRH was assessed by a question of general SRH (n = 1105). Cox regression model was used to analyze the association of the explanatory variables with institutionalization.

Results

The mean age of the participants was 73.0 (range 64.0‒97.0) years. Prevalence of institutionalization was 40.8%. In unadjusted models, frailty was associated with a higher risk of institutionalization by FS in 10-year follow-up, and FI in both follow-ups. Associations by FI persisted after age- and gender-adjustments in both follow-ups. By PRISMA-7, frailty predicted a higher risk of institutionalization in both follow-ups. In unadjusted models, inability to walk 400 m predicted a higher risk of institutionalization in both follow-ups and after adjustments in 10-year follow-up. Poor SRH predicted a higher risk of institutionalization in unadjusted models in both follow-ups and after adjustments in 10-year follow-up.

Discussion

Simple self-reported items of walking ability and SRH seemed to be comparable with frailty indexes in predicting institutionalization among community-dwelling older people in 10-year follow-up.

Conclusions

In clinical practice, self-reported walking ability and SRH could be used to screen those at risk.

Electronic supplementary material

The online version of this article (10.1007/s40520-020-01551-x) contains supplementary material, which is available to authorized users.

Frailty is an independent risk factor of one-year mortality after elective orthopedic surgery: a prospective cohort study

Frailty is associated with perioperative adverse outcomes, especially for the elderly. This study aimed to assess whether frailty was an independent risk factor of one-year mortality in frail patients after elective orthopedic surgery. In this prospective study, three hundred and thirteen patients aged ≥ 65 years, undergoing elective orthopedic surgery were finally included. Frailty assessed by the Clinical Frailty Score (CFS) before the surgery was present in 29.7% (93/313). Among them, 7.7% of patients (24/313) died at one year after surgery. In multivariate logistic analysis, higher CFS (OR = 2.271, 95% CI= 1.472–3.504) was found to be an independent risk factor of one-year mortality after surgery in elderly orthopedic patients. The area under the receiver operating characteristic curve of the model was 0.897 (95% CI 0.834–0.959). In addition, we found higher Charlson comorbidity index (OR= 1.498, 95% CI = 1.082–2.073) was also a significant risk factor. In conclusion, frailty is associated with increased one-year mortality in elderly patients after elective orthopedic surgery, which should be considered as a routine assessment tool in preoperative practice.

A practical laboratory index to predict institutionalization and mortality - an 18-year population-based follow-up study

Background

Previously, several indexes based on a large number of clinical and laboratory tests to predict mortality and frailty have been produced. However, there is still a need for an easily applicable screening tool for every-day clinical practice.

Methods

A prospective study with 10- and 18-year follow-ups. Fourteen common laboratory tests were combined to an index. Cox regression model was used to analyse the association of the laboratory index with institutionalization and mortality.

Results

The mean age of the participants (n = 1153) was 73.6 (SD 6.8, range 64.0–100.0) years. Altogether, 151 (14.8%) and 305 (29.9%) subjects were institutionalized and 422 (36.6%) and 806 (69.9%) subjects deceased during the 10- and 18-year follow-ups, respectively. Higher LI (laboratory index) scores predicted increased mortality. Mortality rates increased as LI scores increased both in unadjusted and in age- and gender-adjusted models during both follow-ups. The LI did not significantly predict institutionalization either during the 10- or 18-year follow-ups.

Conclusions

A practical index based on routine laboratory tests can be used to predict mortality among older people. An LI could be automatically counted from routine laboratory results and thus an easily applicable screening instrument in clinical settings.

Aging, Frailty, and the Microbiome-How Dysbiosis Influences Human Aging and Disease

The human gut microbiome is a collection of bacteria, protozoa, fungi, and viruses that coexist in our bodies and are essential in protective, metabolic, and physiologic functions of human health. Gut dysbiosis has traditionally been linked to increased risk of infection, but imbalances within the intestinal microbial community structure that correlate with untoward inflammatory responses are increasingly recognized as being involved in disease processes that affect many organ systems in the body. Furthermore, it is becoming more apparent that the connection between gut dysbiosis and age-related diseases may lie in how the gut microbiome communicates with both the intestinal mucosa and the systemic immune system, given that these networks have a common interconnection to frailty. We therefore discuss recent advances in our understanding of the important role the microbiome plays in aging and how this knowledge opens the door for potential novel therapeutics aimed at shaping a less dysbiotic microbiome to prevent or treat age-related diseases.

Predictive validity of PRISMA-7 as a screening instrument for frailty in a hospital setting

OBJECTIVES

Frailty is a major clinical geriatric syndrome associated with serious adverse events including functional disability, falls, hospitalisation, increased morbidity and mortality. The aim of this study was to study the associations between frailty defined as Program of Research to Integrate Services for the Maintenance of Autonomy (PRISMA-7) score ≥3 and use of healthcare resources in hospital and in the municipality as well as association between frailty and mortality.

DESIGN

Register-based retrospective study.

SETTING

The target population consists of patients aged 75 years or above who, during hospital stay, were assessed by a physiotherapist, and at discharge from hospital were prescribed further physical training in the community.

PARTICIPANTS

973 individuals aged 75+ years were included.

OUTCOME MEASURES

We examined associations between frailty and use of healthcare resources in hospital and in the municipality as well as the association between frailty and mortality.

RESULTS

973 individuals aged 75+ years were included. Of these, 63.9% had a PRISMA-7 score ≥3 and were thus defined as frail. Frail individuals were older compared with non-frail with mean ages of 84.6 and 80.4 years, respectively, p>0.001. Age and gender-adjusted mortality after 1 year was higher among the frail (OR 2.46, 95% CI 1.53 to 3.97). Use of healthcare services in the municipality as well as hospital admissions was significantly higher among frail individuals.

CONCLUSIONS

Based on these findings we consider PRISMA-7 to be useful in an in-hospital setting as a screening tool to identify frail elderly patients who may profit from further geriatric assessment during hospital stay.

TRIAL REGISTRATION NUMBER

ID REG-070-2017.