Abstract P165: Comparing Grip Strength, Weakness, And Frailty Based On Comorbidity And Laboratory Data Among Patients With Cardiovascular Disease
Introduction: Some approaches to frailty screening use diagnostic or laboratory data that may be incomplete. Grip strength can identify weakness, a component of phenotype-based frailty assessment. We compared grip strength as a reductionist, phenotype-based approach to frailty screening with comorbidity and laboratory-based alternatives. Hypothesis: Grip strength and categorical weakness are correlated with the modified frailty index-5 (mFI-5) and lab values associated with frailty. Methods: Weakness based on grip, BMI, and gender was compared with mFI-5 comorbidities and lab values. Patients with at least 3/5 mFI-5 comorbidities were considered frail. Lab data collected within 6 months of grip measurement was assessed. Associations were evaluated using multivariable models and kappa. Methods: 2,597 patients had grip strength measured over 5 months. Mean age was 64.4±14.6, mean BMI was 29.5±6.9;46% were women, and 87% white. Prevalent comorbidities included hypertension (28%), CHF (22%), diabetes (29%), and COPD (26%); 9% were functionally dependent. 34% were weak, but only 13% were frail based on mFI-5. Hemoglobin, creatinine, and CRP differed significantly based on weakness ( Table ). Laboratory data were missing for 36%- 95% of patients. Multivariable models identified significant associations between weakness, hemoglobin, and all MFI-5 comorbidities. Categorical agreement between weakness and frailty was limited (kappa =0.09; 95% CL 0.0641-0.1232). Conclusion: Weakness based on grip strength provides a practical, inexpensive approach to risk assessment, especially when incomplete data excludes other approaches. Comorbidity-based assessment categorizes many weak patients as non-frail. Table. Demographic, laboratory values, and comorbidities by categorical weakness based on grip 20 th percentile. Mean values for continuous variables by weakness adjusted for gender and BMI, p-value for T-test; frequency and total percent for categorical variables, p-value represents chi-square test.