The Multidimensional Prognostic Index predicts in-hospital length of stay in older patients: a multicentre prospective study

Age Ageing. 2016 Jan;45(1):90-6. doi: 10.1093/ageing/afv167.

Abstract

Background: prediction of length of stay (LOS) may be useful to optimise care plans to reduce the negative outcomes related to hospitalisation.

Objective: to evaluate whether the Multidimensional Prognostic Index (MPI), based on a Comprehensive Geriatric Assessment (CGA), may predict LOS in hospitalised older patients.

Design: prospective multicentre cohort study.

Setting: twenty Geriatrics Units.

Participants: patients aged 65 and older consecutively admitted to Geriatrics Units.

Measurement: at admission, the CGA-based MPI was calculated by using a validated algorithm that included information on basal and instrumental activities of daily living, cognitive status, nutritional status, the risk of pressures sores, co-morbidity, number of drugs and co-habitation status. According to validated cut-offs, subjects were divided into three groups of risk, i.e. MPI-1 low risk (value ≤0.33), MPI-2 moderate risk (value 0.34-0.66) and MPI-3 severe risk of mortality (value ≥0.67).

Results: two thousand and thirty-three patients were included; 1,159 were women (57.0%). Age- and sex-adjusted mean LOS in patients divided according to the MPI grade was MPI-1 = 10.1 (95% CI 8.6-11.8), MPI-2 = 12.47 (95% CI 10.7-14.68) and MPI-3 = 13.41 (95% CI 11.5-15.7) days (P for trend <0.001). The overall accuracy of the MPI to predict LOS was good (C-statistic 0.74, 95% CI 0.72-0.76). Moreover, a statistically significant trend of LOS means was found even in patients stratified according to their International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) main diagnosis.

Conclusions: the MPI is an accurate predictor of LOS in older patients hospitalised with the most frequent diseases.

Keywords: Multidimensional Prognostic Index; length of stay; mortality; older people.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Activities of Daily Living
  • Age Factors
  • Aged
  • Cognition
  • Comorbidity
  • Female
  • Geriatric Assessment / methods*
  • Humans
  • Italy
  • Length of Stay*
  • Male
  • Marital Status
  • Nutrition Assessment
  • Nutritional Status
  • Patient Admission
  • Polypharmacy
  • Pressure Ulcer / etiology
  • Prognosis
  • Prospective Studies
  • Risk Assessment
  • Risk Factors