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

Alberto Pilotto, Daniele Sancarlo, Fabio Pellegrini, Franco Rengo, Niccolò Marchionni, Stefano Volpato, Luigi Ferrucci

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

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

Original languageEnglish (US)
Article numberafv167
Pages (from-to)90-96
Number of pages7
JournalAge and Ageing
Volume45
Issue number1
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

Keywords

  • Length of stay
  • Mortality
  • Multidimensional Prognostic Index
  • Older people

ASJC Scopus subject areas

  • Aging
  • Geriatrics and Gerontology

Fingerprint

Dive into the research topics of 'The Multidimensional Prognostic Index Predicts in-hospital length of stay in older patients: A multicentre prospective study'. Together they form a unique fingerprint.

Cite this