Frailty is associated with hospital readmission in geriatric patients: a prognostic study.

Purpose: Targeting health care interventions requires valid measurements when predicting unplanned hospital readmission. The Multidimensional Prognostic Index (MPI) based on Comprehensive Geriatric Assessment (CGA) enables the prediction of mortality and length of stay (LOS) in older hospitalized patients. Our aim was to validate if the MPI as a frailty tool could predict unplanned hospital readmission in geriatric patients.

Methods: This prognostic study was conducted in geriatric wards. The target population was 65 + -year-old patients hospitalized with acute illness. The MPI tool is derived from eight CGA domains by an interdisciplinary team: social aspects, number of drugs, activities of daily living (ADL), instrumental-ADL, cognitive status, severity of morbidity, risk of developing pressure sores, and nutritional status. Patients assessed were categorized into three groups: non-frail (MPI-1), moderate frail (MPI-2) or severe frail (MPI-3). Primary outcome was 30-day unplanned readmission and secondary LOS and 90-day mortality.

Results: In total 1467 patients were included from January 1, 2018, to October 1, 2019. Mean age was 84.2 years (± 7.4) and 59% were women. 15.7% were readmitted. Hazard ratio (HR) for readmission in the MPI-2 group (n = 635) was 2.57; 95% confidence interval (CI) 1.25-5.29 (p = 0.01), and 2.60; 95% CI 1.27-5.33 (p = 0.009) in the MPI-3 group (n = 711) compared to the MPI-1 group (n = 121). MPI was a predictor of LOS and mortality.

Conclusion: Using the MPI tool to identify the frail and non-frail patients is applicable to predict unplanned hospital readmission in geriatric patients. The MPI is superior to the prognostic value of each single domain. MPI will be of great value to health professionals' decision-making.