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

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.