Literature DB >> 7802234

Survival after intensive care. Comparison with a matched normal population as an indicator of effectiveness.

S Ridley1, L Plenderleith.   

Abstract

The life expectancy for survivors of critical illness has not been reported in the United Kingdom. The aim of this study was to compare the long-term survival of intensive care patients with that of an age and sex-matched population. All patients admitted to a general intensive therapy unit over 4 years (n = 1168) were included in the study. Details of the survivors were forwarded to the Registrar General for Scotland, who then issued copies of death certificates as the survivors died. The survival curve of patients discharged from the intensive therapy unit was significantly different from that of the normal population. The risk of dying in the first year after discharge was 3.4 times higher (95% confidence intervals 2.7-4.2) than that in the normal population. It is not until the start of the fourth year after discharge that the probability of death matched that of the normal population.

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Year:  1994        PMID: 7802234     DOI: 10.1111/j.1365-2044.1994.tb04306.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  9 in total

1.  Survival and functional outcome after prolonged intensive care unit stay.

Authors:  P A Lipsett; S M Swoboda; J Dickerson; M Ylitalo; T Gordon; M Breslow; K Campbell; T Dorman; P Pronovost; B Rosenfeld
Journal:  Ann Surg       Date:  2000-02       Impact factor: 12.969

2.  Surviving intensive care: a report from the 2002 Brussels Roundtable.

Authors:  Derek C Angus; Jean Carlet
Journal:  Intensive Care Med       Date:  2003-01-21       Impact factor: 17.440

Review 3.  Long-term survival from intensive care: a review.

Authors:  Teresa A Williams; Geoffrey J Dobb; Judith C Finn; Steve A R Webb
Journal:  Intensive Care Med       Date:  2005-08-24       Impact factor: 17.440

4.  Cost effectiveness of intensive care in a low resource setting: A prospective cohort of medical critically ill patients.

Authors:  Hajrunisa Cubro; Rabija Somun-Kapetanovic; Guillaume Thiery; Daniel Talmor; Ognjen Gajic
Journal:  World J Crit Care Med       Date:  2016-05-04

5.  Follow-up after intensive care: a single center study.

Authors:  Reidar Kvåle; Atle Ulvik; Hans Flaatten
Journal:  Intensive Care Med       Date:  2003-11-04       Impact factor: 17.440

6.  Implications of ICU triage decisions on patient mortality: a cost-effectiveness analysis.

Authors:  David L Edbrooke; Cosetta Minelli; Gary H Mills; Gaetano Iapichino; Angelo Pezzi; Davide Corbella; Philip Jacobs; Anne Lippert; Joergen Wiis; Antonio Pesenti; Nicolo Patroniti; Romain Pirracchio; Didier Payen; Gabriel Gurman; Jan Bakker; Jozef Kesecioglu; Chris Hargreaves; Simon L Cohen; Mario Baras; Antonio Artigas; Charles L Sprung
Journal:  Crit Care       Date:  2011-02-09       Impact factor: 9.097

7.  Intensive care admission of cancer patients: a comparative analysis.

Authors:  Monique M E M Bos; Ilona W M Verburg; Ineke Dumaij; Jacqueline Stouthard; Johannes W R Nortier; Dick Richel; Eric P A van der Zwan; Nicolette F de Keizer; Evert de Jonge
Journal:  Cancer Med       Date:  2015-04-18       Impact factor: 4.452

Review 8.  Clinical review: Intensive care follow-up--what has it told us?

Authors:  L Robert Broomhead; Stephen J Brett
Journal:  Crit Care       Date:  2002-08-15       Impact factor: 9.097

9.  Study protocol: the Intensive Care Outcome Network ('ICON') study.

Authors:  John A Griffiths; Kayleigh Morgan; Vicki S Barber; J Duncan Young
Journal:  BMC Health Serv Res       Date:  2008-06-17       Impact factor: 2.655

  9 in total

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