Weak grip strength predicts higher unplanned healthcare utilization among patients with heart failure

Abstract

AbstractAimsFrailty increases healthcare utilization and costs for patients with heart failure but is challenging to assess in clinical settings. Hand grip strength (GS) is a single‐item measure of frailty yet lacks evidence as a potential screening tool to identify patients at risk of higher unplanned events and related healthcare costs. We examined the association of baseline and longitudinal GS measurements with healthcare utilization and costs among patients with advanced heart failure.Methods and resultsBetween July 2017 and April 2019, we enrolled 251 patients with symptoms of advanced heart failure (New York Heart Association class III or IV) in a prospective cohort study in Singapore. We measured GS at baseline and every 4 months for 2 years and linked patients' survey data with their medical and billing records. We categorized patients as having weak GS if their GS measurement was below the 5th percentile of the age‐ and gender‐specific normative GS values in Singapore. We assessed the association between baseline GS and healthcare utilization (unplanned and planned events and healthcare costs, total costs, and length of inpatient stay) over the next 2 years using regression models. We investigated the association between longitudinal 4‐monthly GS assessments and the ensuing 4 months of healthcare utilization and costs using mixed‐effects logistic and two‐part regression models. At baseline, 22.5% of patients had weak GS. Baseline and longitudinal GS measurements were significantly associated with longer length of inpatient stay, greater likelihood of unplanned events, and higher related costs. Patients with weak GS had higher odds of an unplanned event occurring by 8 percentage points [95% confidence interval (CI) (0.01, 0.14), P = 0.026], incurred longer inpatient stays by 4 days [95% CI (1.97, 6.79), P = 0.003], and additional SG$ 4792 [US$ ~ 3594, 95% CI (1894, 7689), P = 0.014] in unplanned healthcare costs over the next 4 months.ConclusionsGS is a simple tool to identify and monitor heart failure patients at risk of unplanned events, longer inpatient stays, and higher related healthcare costs. Findings support its routine use in clinical settings.