The future of frailty: Opportunity is knocking

New horizons in frailty identification via electronic frailty indices: early implementation lessons from experiences in England and the United States

Frailty represents an integrative prognostic marker of risk that associates with a myriad of age-related adverse outcomes in older adults. As a concept, frailty can help to target scarce resources and identify subgroups of vulnerable older adults that may benefit from interventions or changes in medical management, such as pursing less aggressive glycaemic targets for frail older adults with diabetes. In practice, however, there are several operational challenges to implementing frailty screening outside the confines of geriatric medicine. Electronic frailty indices (eFIs) based on the theory of deficit accumulation, derived from routine data housed in the electronic health record, have emerged as a rapid, feasible and valid approach to screen for frailty at scale. The goal of this paper is to describe the early experience of three diverse groups in developing, implementing and adopting eFIs (The English National Health Service, US Department of Veterans Affairs and Atrium Health-Wake Forest Baptist). These groups span different countries and organisational complexity, using eFIs for both research and clinical care, and represent different levels of progress with clinical implementation. Using an implementation science framework, we describe common elements of successful implementation in these settings and set an agenda for future research and expansion of eFI-informed initiatives.

Comparison of a multidomain frailty index from routine health data with the hospital frailty risk score in older patients in an Australian hospital

BACKGROUND

Frailty is an important determinant of health-care needs and outcomes for people in hospital.

OBJECTIVES

To compare characteristics and predictive ability of a multidomain frailty index derived from routine health data (electronic frailty index-acute hospital; eFI-AH) with the hospital frailty risk score (HFRS).

METHODS

This retrospective study included 6771 patients aged ≥75 years admitted to an Australian metropolitan tertiary referral hospital between October 2019 and September 2020. The eFI-AH and the HFRS were calculated for each patient and compared with respect to characteristics, agreement, association with age and ability to predict outcomes.

RESULTS

Median eFI-AH was 0.17 (range 0-0.66) whilst median HFRS was 3.2 (range 0-42.9). Moderate agreement was shown between the tools (Pearson's r 0.61). After adjusting for age and gender, both models had associations with long hospital stay, in-hospital mortality, unplanned all-cause readmission and fall-related readmission. Specifically, the eFI-AH had the strongest association with in-hospital mortality (adjusted odds ratio (aOR) 2.81, 95% confidence intervals (CI) 2.49-3.17), whilst the HFRS was most strongly associated with long hospital stay (aOR 1.20, 95% CI 1.18-1.21). Both tools predicted hospital stay >10 days with good discrimination and calibration.

CONCLUSIONS

Although the eFI-AH and the HFRS did not consistently identify the same inpatients as frail, both were associated with adverse outcomes and they had comparable predictive ability for prolonged hospitalisation. These two constructs of frailty may have different implications for clinical practice and health service provision and planning.

Frailty as a dynamic process in a diverse cohort of older persons with dialysis-dependent CKD

This study examines frailty status evolution observed in a two-year follow-up of a cohort of older persons (age ≥65) with chronic kidney disease (CKD) undergoing maintenance hemodialysis (HD) treatment. Frailty, a geriatric syndrome that connotes a state of low physiologic reserve and vulnerability to stressors, is associated with increased risk for multiple adverse health outcomes in studies of persons with CKD as well as older persons in the general population. The Fried frailty index defines frailty as the presence of 3 or more of 5 indicators-recent unintentional weight loss, slowed gait speed, decreased muscle strength, self-reported exhaustion, and low physical activity. In the seminal work by Fried and colleagues, persons who were characterized by 1-2 of the Fried index criteria were termed "pre-frail" and considered at risk for subsequently becoming frail, potentially providing insight regarding intervention targets that might slow or prevent individuals' transition from pre-frail to frail status. Other less frequently studied types of transitions may also be informative, including "recovery or reversion" (improvement) by people whose longitudinal assessments indicate movement from frailty to prefrailty or robust, or from prefrailty to robust. These status changes are also a potential source of insights relevant for prevention or remediation of frailty, but research focusing on the various ways that individuals may transition between frailty states over time remains limited, and no previous research has examined varying patterns of frailty status evolution in an older cohort of persons with dialysis-dependent CKD. In a study cohort of dialysis-dependent older persons, we characterized patterns of frailty status evolution by age, sex, race/ethnicity, and treatment vintage; by longitudinal profiles of non-sedentary behavior; and by self-report indicators relevant for dimensions emphasized in the Age-Friendly 4Ms Health System (What Matters, Mobility, Mentation). Our study suggests that strategies to promote resiliency among older persons with dialysis-dependent CKD can be informed not only by frailty status transition that indicates improvement over time but also by older adults' maintenance of (stable) robust status over time, and we concur that inclusion of both frailty and resilience measures is needed in future longitudinal studies and clinical trials.