Development and validation of a frailty index in the Longitudinal Aging Study Amsterdam

Older persons are frailer after an emergency care visit to the out-of-hours general practitioner cooperative in the Netherlands: a cross-sectional descriptive TOPICS-MDS study

Background

In the Netherlands, community-dwelling older people with primary care emergency problems contact the General Practitioner Cooperative (GPC) after hours. However, frailty remains an often unobserved hazard with adverse health outcomes. The aim of this study was to provide insight into differences between older persons with or without GPC emergency care visits (reference group) regarding frailty and healthcare use.

Methods

A cross-sectional descriptive study design was based on data from the public data repository of The Older Persons and Informal Caregivers Survey Minimum Dataset (TOPICS-MDS). Frailty in older persons (65+ years, n = 32,149) was measured by comorbidity, functional and psychosocial aspects, quality of life and a frailty index. Furthermore, home care use and hospital admissions of older persons were identified. We performed multilevel logistic and linear regression analyses. A random intercept model was utilised to test differences between groups, and adjustment factors (confounders) were used in the multilevel analysis.

Results

Compared to the reference group, older persons with GPC contact were frailer in the domain of comorbidity (mean difference 0.52; 95% CI 0.47–0.57, p < 0.0001) and functional limitations (mean difference 0.53; 95% CI 0.46–0.60, p < 0.0001), and they reported less emotional wellbeing (mean difference − 4.10; 95% CI -4.59- -3.60, p < 0.0001) and experienced a lower quality of life (mean difference − 0.057; 95% CI -0.064- -0.050, p < 0.0001). Moreover, older persons more often reported limited social functioning (OR = 1.50; 95% CI 1.39–1.62, p < 0.0001) and limited perceived health (OR = 1.50, 95% CI 1.39–1.62, p < 0.0001). Finally, older persons with GPC contact more often used home care (OR = 1.37; 95% CI 1.28–1.47, p < 0.0001) or were more often admitted to the hospital (OR = 2.88; 95% CI 2.71–3.06, p < 0.0001).

Conclusions

Older persons with out-of-hours GPC contact for an emergency care visit were significantly frailer in all domains and more likely to use home care or to be admitted to the hospital compared to the reference group. Potentially frail older persons seemed to require adequate identification of frailty and support (e.g., advanced care planning) both before and after a contact with the out-of-hours GPC.

Frailty and depression: Reciprocal influences or common causes?

BACKGROUND

Previous research demonstrated substantial associations between frailty and depression in late life, but it remains unclear whether this relationship is best explained by reciprocal influences of these variables or by common causes. This study investigated the interdependencies between frailty and depression across time by examining cross-lagged effects within individuals, while accounting for variability in baseline levels and long-term development between individuals.

METHODS

We modeled longitudinal data from six panel waves gathered in the Survey of Health, Ageing and Retirement in Europe, covering a time period of up to 14 years. The total sample size was N = 58,152 individuals aged 50 years or older. Frailty was based on a deficit accumulation frailty index and depressive symptoms were measured with the EURO-D scale. We used a latent curve model with structured residuals for statistical analysis.

RESULTS

The results did not demonstrate relevant cross-lagged effects of frailty and depression at the within-person level. However, within-person increases in frailty were accompanied by within-person increases in depression at the same point in time. At the between-person level, it showed that individuals with higher levels and steeper trajectories in frailty also tend to show higher levels and steeper trajectories in depression.

CONCLUSION

These findings question the notion that frailty and depression reciprocally influence each other over the course of time, but rather indicate that frailty and depression might be both affected by common causes, in both the short and the long term.

Frailty Combined with Loneliness or Social Isolation: An Elevated Risk for Mortality in Later Life

BACKGROUND/OBJECTIVES

Frailty, loneliness, and social isolation are all associated with adverse outcomes in older adults, but little is known about their combined impact on mortality.

DESIGN

Prospective cohort study.

SETTING

The Longitudinal Aging Study Amsterdam.

PARTICIPANTS

Community-dwelling older adults aged 65 and older (n = 1,427).

MEASUREMENTS

Frailty was measured with the frailty phenotype (Fried criteria). Loneliness was assessed with the De Jong Gierveld Loneliness Scale. Social isolation was operationalized using information on partner status, social support, and network size. Two categorical variables were created, for each possible combination regarding frailty and loneliness (FL) and frailty and social isolation (FS), respectively. Mortality was monitored over a period of 22 years (1995-2017). Survival curves and Cox proportional hazard models were used to study the effects of the FL and FS combinations on mortality. Analyses were adjusted for sociodemographic factors, depression, chronic diseases, and smoking.

RESULTS

Frailty prevalence was 13%, and 5.9% of the sample were frail and lonely, and 6.2% frail and socially isolated. In fully adjusted models, older adults who were only frail had a higher risk of mortality compared with people without any of the conditions (hazard ratio [HR] range = 1.40-1.48; P < .01). However, the highest risk of mortality was observed in people with a combined presence of frailty and loneliness or social isolation (HR_FL = 1.83; 95% confidence interval [CI] = 1.42-2.37; HR_FS = 1.77; 95% CI = 1.36-2.30). Sensitivity analyses using a frailty index based on the deficit accumulation approach instead of the frailty phenotype showed similar results, confirming the robustness of our findings.

CONCLUSION

Frail older adults are at increased risk of mortality, but this risk is even higher for those who are also lonely or socially isolated. To optimize well-being and health outcomes in physically frail older adults, targeted interventions focusing on both subjective and objective social vulnerability are needed.

High dephospho-uncarboxylated matrix Gla protein concentrations, a plasma biomarker of vitamin K, in relation to frailty: the Longitudinal Aging Study Amsterdam

PURPOSE

No previous study has evaluated the relationship between vitamin K and frailty. Thus, we assessed the relationship between vitamin K status and frailty over 13 years in the Longitudinal Aging Study Amsterdam (LASA).

METHODS

Prospective cohort study with 644 community-dwelling adults ≥ 55 years from the LASA cohort. In 2002-2003, plasma desphospho-uncarboxylated matrix Gla protein (dp-ucMGP) was measured as marker of vitamin K status through a sandwich ELISA. Frailty was measured at baseline and in four follow-up examinations with the LASA Frailty Index (LASA-FI), which was used as both a continuous and a dichotomous measure (FI ≥ 0.25), as indicator of the degree of frailty and frailty risk, respectively. Statistical analyses were performed with multivariable generalized estimating equations using the lowest dp-ucMGP tertile, reflecting a high vitamin K status, as reference.

RESULTS

The mean (SD) age was 59.9 (2.9) years, and 54% were female. Compared with the lowest tertile, the medium and highest dp-ucMGP tertile were associated with a higher degree of frailty [1.40, 95% confidence interval (0.01-2.81) and 1.62, (0.18-3.06), respectively. P trend: 0.03]. Additionally, the medium and highest dp-ucMGP tertile had a higher odds ratio of frailty [1.75 (1.11-2.77) and 1.63 (1.04-2.57), respectively]. The degree of frailty increased over time, but the differences by dp-ucMGP tertiles existed since baseline and remained stable during follow-up.

CONCLUSIONS

Baseline plasma low vitamin K status was associated with a greater degree of frailty and frailty risk in this cohort of older adults, which highlights the importance of ensuring an optimal nutritional status of this vitamin to prevent frailty in later life.

Diabetes Mellitus and Gender Have a Negative Impact on the Outcome of Hip Fracture Surgery-A Pilot Study

Diabetes mellitus (DM) is associated with an elevated risk of post-operative complications. The impact it has on patients living with DM following hip fracture surgery (HFS) is not completely understood and may represent a predictor of increased mortality. This study investigates the impact of DM, gender, American Society of Anaesthesiologists (ASA) grade, and fracture location, on the outcome of HFS in Ireland. The Hospital Inpatient Enquiry (HIPE) database records all fragility hip fractures within Galway University Hospital. Retrospective data collection was performed over a 3-year period. Data collected included patient age, gender, date of HFS, anatomical fracture location, type of operation, ASA grade, DM status, and mortality. A database of 650 individuals was created including 461 females and 189 males, with an average group age of 80.2 ± 9.3 years. Results showed a significantly higher incidence of hip fractures in males with DM (19.57%) than females with DM (12.36%) (χ² test, p = 0.020). Cox regression survival analysis indicated that DM status and ASA grade were the two main independent predictors of patient survival following HFS. Nevertheless, when examining the combined impact of gender and DM status on survival after HFS, results showed that survival post HFS differed significantly with gender and presence of DM (log-rank test, p < 0.001), with males with DM performing worse than females with DM (p = 0.021) or males without DM (p = 0.001). This gender and disease-associated outcome should prompt an early multi-disciplinary team approach to the management of hip fractures in patients with DM. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 38:834-842, 2020.

Operationalization of a frailty index among older adults in the InCHIANTI study: predictive ability for all-cause and cardiovascular disease mortality

Background

The frailty index (FI) is a sensitive instrument to measure the degree of frailty in older adults, and is increasingly used in cohort studies on aging.

Aims

To operationalize an FI among older adults in the “Invecchiare in Chianti” (InCHIANTI) study, and to validate its predictive capacity for mortality.

Methods

Longitudinal data were used from 1129 InCHIANTI participants aged ≥ 65 years. A 42-item FI was operationalized following a standard procedure using baseline data (1998/2000). Associations of the FI with 3- and 6-year all-cause and cardiovascular disease (CVD) mortality were studied using Cox regression. Predictive accuracy was estimated by the area under the ROC curve (AUC), for a continuous FI score and for different cut-points.

Results

The median FI was 0.13 (IQR 0.08–0.21). Scores were higher in women, and at advanced age. The FI was associated with 3- and 6-year all-cause and CVD mortality (HR range per 0.01 FI increase = 1.03–1.07, all p < 0.001). The continuous FI score predicted the mortality outcomes with moderate-to-good accuracy (AUC range 0.72–0.83). When applying FI cut-offs between 0.15 and 0.35, the accuracy of this FI for predicting mortality was moderate (AUC range 0.61–0.76). Overall, the predictive accuracy of the FI was higher in women than in men.

Conclusions

The FI operationalized in the InCHIANTI study is a good instrument to grade the risk of all-cause mortality and CVD mortality. More measurement properties, such as the responsiveness of this FI when used as outcome measure, should be investigated in future research.

Electronic supplementary material

The online version of this article (10.1007/s40520-020-01478-3) contains supplementary material, which is available to authorized users.

Predictive Accuracy of Frailty Tools for Adverse Outcomes in a Cohort of Adults 80 Years and Older: A Decision Curve Analysis

OBJECTIVES

To compare the predictive performance of 3 frailty identification tools for mortality, hospitalization, and functional decline in adults aged ≥80 years using risk reclassification statistics and decision curve analysis.

DESIGN

Population-based, prospective cohort.

SETTING

BELFRAIL study, Belgium.

PARTICIPANTS

560 community-dwelling adults aged ≥80 years.

MEASUREMENTS

Frailty by Cardiovascular Health Study (CHS) phenotype, Longitudinal Aging Study Amsterdam (LASA) markers, and Groeningen Frailty Indicator (GFI); mortality until 5.1 ± 0.25 years from baseline and hospitalization until 3.0 ± 0.25 years; and functional status assessed by activities of daily living at baseline and after 1.7 ± 0.21 years.

RESULTS

Frailty prevalence was 7.3% by CHS phenotype, 21.6% by LASA markers, and 22% by GFI. Participants determined to be frail by each tool had a significantly higher risk for all-cause mortality and first hospitalization. For functional decline, only frail by GFI had a higher adjusted odds ratio. Harrell 's C-statistic for mortality and hospitalization and area under receiver operating characteristic curve for functional decline were similar for all tools and <0.70. Reclassification statistics showed improvement only by LASA markers for hospitalization and mortality. In decision curve analysis, all tools had higher net benefit than the 2 default strategies of "treat all" and "treat none" for mortality risk ≥20%, hospitalization risk ≥35%, and functional decline probability ≥10%, but their curves overlapped across all relevant risk thresholds for these outcomes.

CONCLUSIONS AND IMPLICATIONS

In a cohort of adults aged ≥80 years, 3 frailty tools based on different conceptualizations and assessment sources had comparable but unsatisfactory discrimination for predicting mortality, hospitalization, and functional decline. All showed clinical utility for predicting these outcomes over relevant risk thresholds, but none was significantly superior. Future research on frailty tools should include a focus on the specific group of adults aged ≥80 years, and the predictive accuracy for adverse outcomes of different tools needs a comprehensive assessment that includes decision curve analysis.

The Longitudinal Aging Study Amsterdam: cohort update 2019 and additional data collections

The Longitudinal Aging Study Amsterdam (LASA) is a prospective cohort study of older adults in the Netherlands, initially based on a nationally representative sample of people aged 55-84 years. The study has been ongoing since 1992, and focuses on the determinants, trajectories and consequences of physical, cognitive, emotional and social functioning. Strengths of the LASA study include its multidisciplinary character, the availability of over 25 years of follow-up, and the cohort-sequential design that allows investigations of longitudinal changes, cohort differences and time trends in functioning. The findings from LASA have been reported in over 600 publications so far (see www.lasa-vu.nl). This article provides an update of the design of the LASA study and its methods, on the basis of recent developments. We describe additional data collections, such as additional nine-monthly measurements in-between the regular three-yearly waves that have been conducted among the oldest old during 2016-2019, and the inclusion of a cohort of older Turkish and Moroccan migrants.

Changes of a frailty index based on common blood and urine tests during a hospital stay on geriatric wards predict 6-month and 1-year mortality in older people

Background

We aimed to evaluate the abilities of a 21-item frailty index based on laboratory blood and urine tests (FI-Lab21) assessed at different points in time, ie, at admission to hospital (FI-Lab21_admission) and before discharge from hospital (FI-Lab21_discharge), and the change of the FI-Lab21 during the hospital stay to predict 6-month and 1-year mortality in hospitalized geriatric patients.

Methods

Five hundred hospitalized geriatric patients aged ≥65 years were included in this analysis. Follow-up data were acquired after a period of 6 months and 1 year.

Results

The FI-Lab21_admission and FI-Lab21_discharge scores were 0.33±0.15 and 0.31±0.14, respectively (P<0.001). The FI-Lab21_admission and FI-Lab21_discharge both predicted 6-month and 1-year mortality (areas under the receiver operating characteristic curves: 0.72, 0.72, 0.77, and 0.75, respectively, all P<0.001). The predictive abilities for 6-month and 1-year mortality of the FI-Lab21_admission were inferior compared with those of the FI-Lab21_discharge (all P<0.05). Patients with a reduction in or stable FI-Lab21 score during the hospital stay revealed lower 6-month and 1-year mortality rates compared with the persons whose FI-Lab21 score increased during the hospital stay (all P<0.05). After adjustment for age, sex, and FI-Lab21_admission, each 1% decrease in the FI-Lab21 during the hospital stay was associated with a decrease in 6-month and 1-year mortality of 5.9% and 5.3% (both P<0.001), respectively.

Conclusion

The FI-Lab21 assessed at admission or discharge and the changes of the FI-Lab21 during the hospital stay emerged as interesting and feasible approaches to stratify mortality risk in hospitalized geriatric patients.

Protocol for a prospective observational study to develop a frailty index for use in perioperative and critical care

INTRODUCTION

Frailty is of increasing importance to perioperative and critical care medicine, as the proportion of older patients increases globally. Evidence continues to emerge of the considerable impact frailty has on adverse outcomes from both surgery and critical care, which has led to a proliferation of different frailty measurement tools in recent years. Despite this, there remains a lack of easily implemented, comprehensive frailty assessment tools specific to these complex populations. Development of a frailty index using routinely collected hospital data, able to leverage the automated aspects of an electronic medical record, would aid risk stratification and benefit clinicians and patients alike.

METHODS AND ANALYSIS

This is a prospective observational study. 150 intensive care unit (ICU) patients aged ≥50 years and 200 surgical patients aged ≥65 years will be enrolled. The primary objective is to develop a frailty index. Secondary objectives include assessing its ability to predict in-hospital mortality and/or discharge to a new non-home location; the performance of the frailty index in predicting postoperative and ICU complications, as well as health-related quality of life at 6 months; to compare the performance of the frailty index against existing frailty measurement and risk stratification tools; and to assess its modification by patients' health assets.

ETHICS AND DISSEMINATION

This study has been approved by the Melbourne Health Human Research Ethics Committee(20 January 2017, HREC/16/MH/321). Dissemination will be via international and national anaesthetic and critical care conferences, and publication in the peer-reviewed literature.

Associations of Multidomain Lifestyle Intervention with Frailty: Secondary Analysis of a Randomized Controlled Trial

BACKGROUND

The objective of this study was to investigate whether a long-term multidomain lifestyle intervention was associated with the severity and incidence of frailty in older adults.

METHODS

A 3-year randomized controlled trial was conducted among 1637 French community dwellers age ≥70: 821 controls and 816 who received a multidomain lifestyle intervention (cognitive training, nutrition counseling, and advice on physical activity). The intervention involved 12 2-hour sessions (in the first 2 months) followed by a 1-hour session each month until the study end. Controls received the usual care but did not receive any personalized lifestyle intervention. A frailty index (FI; range = 0-1, higher is worse) composed of 32 items was calculated at baseline, 6 months, 1 year, 2 years, and 3 years and constituted our main endpoint. FI ≥ 0.25 defined frailty. The 4 outcomes were severity of frailty (continuous FI score), incident frailty, incidence of persistent frailty (frailty at 2 consecutive time points), and reversibility of frailty (from frailty to nonfrailty).

RESULTS

Mixed-effect linear regression did not find a significant effect of the multidomain intervention on FI score. Frailty incidence occurred in 241 of 1146 subjects (138 controls and 103 in the multidomain group), whereas incidence of persistent frailty occurred in 75 of 1042 subjects (48 controls and 27 in the multidomain group). Cox models adjusted for baseline FI scores showed that compared with controls, subjects in the multidomain group had a decreased risk of developing both frailty (hazard ratio 0.72; 95% confidence interval, 0.55-0.93) and persistent frailty (hazard ratio 0.53; 95% confidence interval, 0.33-0.85).

CONCLUSIONS

This multidomain lifestyle intervention was associated with a reduced risk of developing frailty but did not affect the severity of frailty in community-dwelling older adults.

Construct validation of a Frailty Index, an HIV Index and a Protective Index from a clinical HIV database

Background

Standard care for HIV clinical practice has started focusing on age-related problems, but despite this recent change physicians involved in HIV care do not often screen HIV patients for frailty. Our aim was to construct three indexes from an HIV clinical database (i.e. Frailty Index, (FI), HIV Index, (HIVI), and Protective Index (PI)) and to assess levels of frailty, HIV severity and demographic and protective lifestyle factors among HIV patients.

Methods and findings

We included data from 1612 patients who attended an Italian HIV clinic between September 2016 and December2017 (mean±SD age: 53.1±8 years, 73.9% men).We used 92 routine variables collected by physicians and other health care professionals to construct three indexes: a 72-item FI (biometric, psychiatric, blood test, daily life activities, geriatric syndromes and nutrition data), a 10-item HIVI (immunological, viral and therapeutics) and a 10-item PI (income, education, social engagement, and lifestyle habits data)(the lower the FI and HIVI scores, and the higher the PI scores, the lower the risk for participants).The FI, HIVI and PI scores were 0.19±0.08, 0.48±0.17 and 0.62±0.13, respectively. Men had higher FI (0.19±0.08 vs 0.18±0.08; p = 0.010) and lower HIVI (0.47±0.18 vs 0.50±0.15; p = 0.038) scores than women. FI and HIVI scores both increased 1.9% per year of age (p < 0.001), whereas the PI decreased 0.2% per year (p<0.050). In addition, the FI score increased 1.6% and the PI score decreased 0.5% per year of HIV infection (p < 0.001).

Conclusion

It is feasible to assess levels of frailty, HIV severity and protective lifestyle factors in HIV patients using data from a clinical database. Frailty levels are high among HIV patients and even higher among older patients and those with a long duration of HIV. Future studies need to examine the ability of the three indices to predict adverse health outcomes such as hospitalization and mortality.

Frailty and Prognostication in Geriatric Surgery and Trauma

Frailty is a predominant predictor of poor outcomes in older populations. This article presents a review of the concept of frailty and its role for prognostication among geriatric trauma and surgery patients. We discuss models of frailty defined in the scientific literature, emphasizing that frailty is a process of biologic aging. We emphasize the importance of screening, assessment, and inclusion of frailty indices for the development and use of prognostication instruments/tools in the population of interest. Finally, we discuss best practices for the delivery of prognostic information in acute care settings and specific recommendations for trauma and surgical care settings.

Tracking changes in frailty throughout later life: results from a 17-year longitudinal study in the Netherlands

Background

to better understand the development of frailty with ageing requires longitudinal studies over an extended time period.

Objective

to investigate changes in the degree of frailty during later life, and the extent to which changes are determined by socio-demographic characteristics.

Methods

six measurement waves of 1,659 Dutch older adults aged 65 years and over in the Longitudinal Aging Study Amsterdam (LASA) yielded 5,211 observations over 17 years. At each wave, the degree of frailty was measured with a 32-item frailty index (FI), employing the deficit accumulation approach. Socio-demographic characteristics included age, sex, educational level and partner status. Generalized Estimating Equation (GEE) analyses were performed to study longitudinal frailty trajectories.

Results

higher baseline FI scores were observed in older people, women, and those with lower education or without partner. The overall mean FI score at baseline was 0.17, and increased to 0.39 after 17 years. The average doubling time in the number of deficits was 12.6 years, and this was similar in those aged 65-74 years and those aged 75+. Partner status was associated with changes over time in FI score, whereas sex and educational level were not.

Conclusions

this longitudinal study showed that the degree of frailty increased with ageing, faster than the age-related increase previously observed in cross-sectional studies. Even so, the rate of deficit accumulation was relatively stable during later life.

Development of a Medicare Health Outcomes Survey Deficit-Accumulation Frailty Index and Its Application to Older Patients With Newly Diagnosed Multiple Myeloma

Purpose

To develop a frailty index using the Rockwood Accumulation of Deficits approach for the Medicare Health Outcomes Survey (MHOS) and apply it in a subset of older patients with newly diagnosed multiple myeloma.

Methods

Data from 2,692,361 patients without cancer, > 66 years of age, in SEER-MHOS linked databases between 1998 and 2009 were analyzed. A frailty index was constructed, resulting in a 25-item scale; cutoff values were created for individuals classified as frail. This frailty index was then applied to 305 patients with newly diagnosed myeloma in the database to predict overall survival.

Results

In the derivation cohort of patients without cancer, the median age was 74 years and the mean frailty index was 0.23 (standard deviation, 0.17). Among patients without cancer, each 10% increase in frailty index (approximately three to four more deficits) was associated with a 40% increased risk for death (adjusted hazard ratio, 1.397; 95% CI, 1.396 to 1.399; P < .001). In the cohort of patients with newly diagnosed myeloma, the median age was 76 years an d the mean frailty index was 0.28 (standard deviation, 0.17). Each 10% increase in frailty index was associated with a 16% increased risk for death (adjusted hazard ratio, 1.159; 95% CI, 1.080 to 1.244; P < .001). Fifty-three percent of patients with multiple myeloma were considered frail. The estimated median overall survival of patients considered frail was 26.8 months, compared with 43.7 months (P = .015) for those who were not.

Conclusion

The MHOS-based frailty index was prognostic for patients with multiple myeloma in predicting overall survival.

Frailty and emergency surgery in the elderly: protocol of a prospective, multicenter study in Italy for evaluating perioperative outcome (The FRAILESEL Study)

Improvements in living conditions and progress in medical management have resulted in better quality of life and longer life expectancy. Therefore, the number of older people undergoing surgery is increasing. Frailty is often described as a syndrome in aged patients where there is augmented vulnerability due to progressive loss of functional reserves. Studies suggest that frailty predisposes elderly to worsening outcome after surgery. Since emergency surgery is associated with higher mortality rates, it is paramount to have an accurate stratification of surgical risk in such patients. The aim of our study is to characterize the clinicopathological findings, management, and short-term outcome of elderly patients undergoing emergency surgery. The secondary objectives are to evaluate the presence and influence of frailty and analyze the prognostic role of existing risk-scores. The final FRAILESEL protocol was approved by the Ethical Committee of "Sapienza" University of Rome, Italy. The FRAILESEL study is a nationwide, Italian, multicenter, observational study conducted through a resident-led model. Patients over 65 years of age who require emergency surgical procedures will be included in this study. The primary outcome measures are 30-day postoperative mortality and morbidity rates. The Clavien-Dindo classification system is used to categorize complications. The secondary outcome measures include length of hospital stay, length of stay in intensive care unit, and predictive value for morbidity and mortality of several frailty and surgical risk-scores. The results of the FRAILESEL study will be disseminated through national and international conference presentations and peer-reviewed journals. The study is also registered at ClinicalTrials.gov (ClinicalTrials.gov identifier: NCT02825082).

Frail-VIG index: a concise frailty evaluation tool for rapid geriatric assessment

BACKGROUND

Demographic changes have led to an increase in the number of elderly frail persons and, consequently, systematic geriatric assessment is more important than ever. Frailty Indexes (FI) may be particularly useful to discriminate between various degrees of frailty but are not routinely assessed due, at least in part, to the large number of deficits assessed (from 30 to 70). Therefore, we have developed a new, more concise FI for rapid geriatric assessment (RGA)-the Frail-VIG index ("VIG" is the Spanish/Catalan abbreviation for Comprehensive Geriatric Assessment), which contains 22 simple questions that assess 25 different deficits. Here we describe this FI and report its ability to predict mortality at 24 months.

METHODS

Prospective, observational, longitudinal study of geriatric patients followed for 24 months or until death. The study participants were patients (n = 590) admitted to the Acute Geriatric Unit at the at the University Hospital of Vic (Barcelona) during the year 2014. Participants were classified into one of seven groups based on their Frail-VIG score (0-0.15; 0.16-0.25; 0.26-0.35; 0.36-0.45; 0.46-0.55; 0.56-0.65; and 0.66-1). Survival curves for these groups were compared using the log-rank test. ROC curves were used to assess the index's capacity to predict mortality at 24 months.

RESULTS

Mean (standard deviation) patient age was 86.4 (5.6) years. The 24-month mortality rate was 57.3% for the whole sample. Significant between-group (deceased vs. living) differences (p < 0.05) were observed for most index variables. Survival curves for the seven Frail-VIG groups differed significantly (X² = 433.4, p < 0.001), with an area under the ROC curve (confidence interval) of 0.90 (0.88-0.92) at 12 months and 0.85 (0.82-0.88) at 24 months. Administration time for the Frail-VIG index ranged from 5 to 10 min.

CONCLUSIONS

The Frail-VIG index, which requires less time to administer than previously validated FIs, presents a good discriminative capacity for the degree of frailty and a high predictive capacity for mortality in the present cohort. Although more research is needed to confirm the validity of this instrument in other populations and settings, the Frail-VIG may provide clinicians with a RGA method and also a reliable tool to assess frailty in routine practice.

Predicting mortality and hospitalization of older adults by the multimorbidity frailty index

Background

Existing operational definitions of frailty are personnel-costly and time-consuming, resulting in estimates with a small sample size that cannot be generalized to the population level. The objectives were to develop a multimorbidity frailty index using Taiwan’s claim database, and to understand its ability to predict adverse event.

Methods

This is a retrospective cohort study. Subjects aged 65 to 100 years who have full National Health Insurance coverage in 2005 were included. We constructed the multimorbidity frailty index using cumulative deficit approach and categorized study population according to the multimorbidity frailty index quartiles: fit, mild frailty, moderate frailty and severe frailty. The multimorbidity frailty index included deficits from outpatient and inpatient diagnosis. Associations with all-cause mortality, unplanned hospitalization and intensive care unit admission were assessed using Kaplan-Meier curves and Cox regression analyses.

Results

The multimorbidity frailty index incorporated 32 deficits, with mean multimorbidity frailty index score of 0.052 (standard deviation = 0.060) among 86,133 subjects included. Compared to subjects in fit category, subjects with severe frailty were associated with a 5.0-fold (adjusted hazard ratio, aHR 4.97; 95% confidence interval, 95% CI 4.49–5.50) increased risk of death at 1 year after adjusting for age and gender. Subjects with moderate frailty or mild frailty was associated with 3.1- (adjusted HR 3.08; 95% CI 2.80–3.39) or 1.9- (adjusted HR 1.86; 95% CI 1.71–2.01) folds increased risk, respectively.4.49–5.50). The risk trend of unplanned hospitalization and intensive care unit admission is similar among the study population. Besides, the association between the frailty categories and all three outcomes was slightly stronger among women.

Conclusion

The multimorbidity frailty index was highly associated with all-cause mortality, unplanned hospitalization and ICU admission. It could serve as an efficient tool for stratifying older adults into different risk groups for planning care management programs.