Literature DB >> 21647716

Prognostic models for predicting mortality in elderly ICU patients: a systematic review.

Lilian Minne1, Jeroen Ludikhuize, Evert de Jonge, Sophia de Rooij, Ameen Abu-Hanna.   

Abstract

PURPOSE: To systematically review prognostic research literature on development and/or validation of mortality predictive models in elderly patients.
METHODS: We searched the Scopus database until June 2010 for articles aimed at validating prognostic models for survival or mortality in elderly intensive care unit (ICU) patients. We assessed the models' fitness for their intended purpose on the basis of barriers for use reported in the literature, using the following categories: (1) clinical credibility, (2) methodological quality (based on an existing quality assessment framework), (3) external validity, (4) model performance, and (5) clinical effectiveness.
RESULTS: Seven studies were identified which met our inclusion criteria, one of which was an external validation study. In total, 17 models were found of which six were developed for the general adult ICU population and eleven specifically for elderly patients. Cohorts ranged from 148 to 12,993 patients and only smaller ones were obtained prospectively. The area under the receiver operating characteristic curve (AUC) was most commonly used to measure performance (range 0.71-0.88). The median number of criteria met for clinical credibility was 4.5 out of 7 (range 2.5-5.5) and 17 out of 20 for methodological quality (range 15-20).
CONCLUSIONS: Although the models scored relatively well on methodological quality, none of them can be currently considered sufficiently credible or valid to be applicable in clinical practice for elderly patients. Future research should focus on external validation, addressing performance measures relevant for their intended use, and on clinical credibility including the incorporation of factors specific for the elderly population.

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Year:  2011        PMID: 21647716     DOI: 10.1007/s00134-011-2265-6

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  31 in total

1.  A comparison of severity of illness scoring systems for elderly patients with severe pneumonia.

Authors:  P Sikka; W M Jaafar; E Bozkanat; A A El-Solh
Journal:  Intensive Care Med       Date:  2000-12       Impact factor: 17.440

2.  STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION.

Authors:  S KATZ; A B FORD; R W MOSKOWITZ; B A JACKSON; M W JAFFE
Journal:  JAMA       Date:  1963-09-21       Impact factor: 56.272

3.  Short- and long-term outcomes of older patients in intermediate care units.

Authors:  Olga H Torres; Esther Francia; Vanesa Longobardi; Ignasi Gich; Salvador Benito; Domingo Ruiz
Journal:  Intensive Care Med       Date:  2006-05-09       Impact factor: 17.440

4.  Prognosis and prognostic research: what, why, and how?

Authors:  Karel G M Moons; Patrick Royston; Yvonne Vergouwe; Diederick E Grobbee; Douglas G Altman
Journal:  BMJ       Date:  2009-02-23

5.  Adverse Drug Reactions in Elderly People: The challenge of safer prescribing.

Authors:  Anne Spinewine
Journal:  BMJ       Date:  2008-04-08

Review 6.  Intensive care for critically ill elderly: mortality, costs, and quality of life. Review of the literature.

Authors:  L Chelluri; A Grenvik; M Silverman
Journal:  Arch Intern Med       Date:  1995-05-22

Review 7.  Reporting performance of prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Rachel Waters; Susan Dutton; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

8.  Applying PRIM (Patient Rule Induction Method) and logistic regression for selecting high-risk subgroups in very elderly ICU patients.

Authors:  Barry Nannings; Ameen Abu-Hanna; Evert de Jonge
Journal:  Int J Med Inform       Date:  2007-07-23       Impact factor: 4.046

Review 9.  Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review.

Authors:  Lilian Minne; Ameen Abu-Hanna; Evert de Jonge
Journal:  Crit Care       Date:  2008-12-17       Impact factor: 9.097

10.  Identification of high-risk subgroups in very elderly intensive care unit patients.

Authors:  Sophia E de Rooij; Ameen Abu-Hanna; Marcel Levi; Evert de Jonge
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

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  21 in total

1.  Does "treatment failure bias" impact comparisons of ICUs?

Authors:  G M Shaw; J G Chase
Journal:  Intensive Care Med       Date:  2012-04-14       Impact factor: 17.440

2.  Prognostic influence of psychofunctional status and comorbidity in very old cardiovascular patients admitted to the intensive care unit.

Authors:  Ramón Puchades; Begoña González; Carlos Gutiérrez; Ricardo Navarro
Journal:  Intensive Care Med       Date:  2015-11-04       Impact factor: 17.440

Review 3.  Individual risk modelling for esophagectomy: a systematic review.

Authors:  John M Findlay; Richard S Gillies; Bruno Sgromo; Robert E K Marshall; Mark R Middleton; Nicholas D Maynard
Journal:  J Gastrointest Surg       Date:  2014-04-24       Impact factor: 3.452

4.  Predicting outcomes in very old ICU patients: time to focus on the past?

Authors:  Hans Flaatten; Sandra Oeyen; Dylan W deLange
Journal:  Intensive Care Med       Date:  2018-07-02       Impact factor: 17.440

5.  Prevalence and impact of frailty on mortality in elderly ICU patients: a prospective, multicenter, observational study.

Authors:  Pascale Le Maguet; Antoine Roquilly; Sigismond Lasocki; Karim Asehnoune; Elsa Carise; Marjorie Saint Martin; Olivier Mimoz; Grégoire Le Gac; Dominique Somme; Catherine Cattenoz; Fanny Feuillet; Yannick Malledant; Philippe Seguin
Journal:  Intensive Care Med       Date:  2014-03-21       Impact factor: 17.440

6.  Using a CriSTAL scoring system to identify pre-morbid conditions associated with a poor outcome after admission to intensive care in people 70 years or older.

Authors:  K Jankowski; D C Bryden
Journal:  J Intensive Care Soc       Date:  2018-10-09

7.  Is this critically ill patient elderly or too old?

Authors:  R Robert; M B Skrifvars; O T Ranzani
Journal:  Intensive Care Med       Date:  2017-10-26       Impact factor: 17.440

8.  The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years).

Authors:  Hans Flaatten; Dylan W De Lange; Alessandro Morandi; Finn H Andersen; Antonio Artigas; Guido Bertolini; Ariane Boumendil; Maurizio Cecconi; Steffen Christensen; Loredana Faraldi; Jesper Fjølner; Christian Jung; Brian Marsh; Rui Moreno; Sandra Oeyen; Christina Agwald Öhman; Bernardo Bollen Pinto; Ivo W Soliman; Wojciech Szczeklik; Andreas Valentin; Ximena Watson; Tilemachos Zaferidis; Bertrand Guidet
Journal:  Intensive Care Med       Date:  2017-09-21       Impact factor: 17.440

9.  Outcome of elderly patients with circulatory failure.

Authors:  Patrick Biston; Cesar Aldecoa; Jacques Devriendt; Christian Madl; Didier Chochrad; Jean-Louis Vincent; Daniel De Backer
Journal:  Intensive Care Med       Date:  2013-10-17       Impact factor: 17.440

Review 10.  Prognosis Research Strategy (PROGRESS) 3: prognostic model research.

Authors:  Ewout W Steyerberg; Karel G M Moons; Danielle A van der Windt; Jill A Hayden; Pablo Perel; Sara Schroter; Richard D Riley; Harry Hemingway; Douglas G Altman
Journal:  PLoS Med       Date:  2013-02-05       Impact factor: 11.069

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