Literature DB >> 25307954

Comparison of five indices for prediction of adverse outcomes in hospitalised Mexican older adults: a cohort study.

Elsa Dent1, Mario Perez-Zepeda2.   

Abstract

The aim of this prospective study was to investigate the ability of five indices of risk stratification to predict functional decline and prolonged length of stay (LOS) in older Mexicans hospitalized in the acute care setting. A total of 254 patients aged ≥60 years were followed up. Risk indices were constructed from baseline data collected during the first 48h of ward admission, and included: Frailty Index (FI), Hospital Admission Risk Profile (HARP), Score Hospitalier d'Evaluation du Risque de Perte d'Autonomie (SHERPA), Acute Physiology and Chronic Health Evaluation II (APACHE II) and Charlson's Co-morbidity Index (CCI). Area Under Receiver Operating Characteristic (auROC) curves was used to compare the ability of risk indices to predict adverse outcome, with outcomes of interest being prolonged LOS, and functional decline, the latter defined as ≥10% drop in Barthel Index score across hospitalization. Mean (SD) FI score was 0.31 (0.14). Effective in predicting long LOS were FI, SHERPA and APACHE II; effective in predicting functional decline were SHERPA and HARP. Indices generally showed high specificity values (most were >80%), although all indices lacked adequate sensitivity values for outcome prediction (<80%). Geriatricians could use information from FI, SHERPA, APACHE II, HARP to guide patient management decisions. However, given that all indices lacked accuracy of prediction, results should be interpreted with caution.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Acute care; Functional decline; Older adults; Risk stratification

Mesh:

Year:  2014        PMID: 25307954     DOI: 10.1016/j.archger.2014.09.011

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  5 in total

1.  Current situation of frailty screening tools for older adults.

Authors:  L Ma
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

2.  The relationship between social deprivation and a frailty index of cumulative deficits in French middle-aged caregivers.

Authors:  Pascaline Cassagnaud; Mael Barthoulot; Jonathan Giovannelli; Anthony Pinon; Manon Lenain; Anne-Laure Cleys; Brigitte Lefebvre; Nicolas Capon; Simon Spychala; Eric Boulanger
Journal:  BMC Geriatr       Date:  2022-01-03       Impact factor: 3.921

Review 3.  What do we know about frailty in the acute care setting? A scoping review.

Authors:  Olga Theou; Emma Squires; Kayla Mallery; Jacques S Lee; Sherri Fay; Judah Goldstein; Joshua J Armstrong; Kenneth Rockwood
Journal:  BMC Geriatr       Date:  2018-06-11       Impact factor: 3.921

4.  Validation of "(fr)AGILE": a quick tool to identify multidimensional frailty in the elderly.

Authors:  Ilaria Liguori; Gennaro Russo; Giulia Bulli; Francesco Curcio; Veronica Flocco; Gianlugi Galizia; David Della-Morte; Gaetano Gargiulo; Gianluca Testa; Francesco Cacciatore; Domenico Bonaduce; Pasquale Abete
Journal:  BMC Geriatr       Date:  2020-09-29       Impact factor: 3.921

Review 5.  Do morbidity measures predict the decline of activities of daily living and instrumental activities of daily living amongst older inpatients? A systematic review.

Authors:  Cheng Hwee Soh; Syed Wajih Ul Hassan; Julian Sacre; Wen Kwang Lim; Andrea B Maier
Journal:  Int J Clin Pract       Date:  2020-12-14       Impact factor: 2.503

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.