Literature DB >> 10551959

TISS and mortality after discharge from intensive care.

L Smith1, C M Orts, I O'Neil, A M Batchelor, A D Gascoigne, S V Baudouin.   

Abstract

OBJECTIVE: To examine the effect of high levels of pre-intensive care unit (ICU) discharge care, as assessed by the Therapeutic Intervention Scoring System (TISS), on subsequent hospital mortality.
DESIGN: A 1-year prospective, observational study.
SETTING: The ICU and wards of a university teaching hospital with no high dependency facility (HDU). PATIENTS: A total of 283 patients were discharged to hospital wards between July 1997 and June 1998. ++
RESULTS: 11 % of all ICU discharges subsequently died in hospital. Patients discharged with a TISS of 20 or greater had a 21.4 % mortality compared to 3.7 % for those with a TISS of less than 10. Increasing age, Acute Physiology Score (APS) on admission and male sex were also significantly associated with post-discharge death.
CONCLUSIONS: In a hospital without HDU facilities, patients who are receiving HDU levels of care on discharge from the ICU have a high in-hospital mortality.

Entities:  

Mesh:

Year:  1999        PMID: 10551959     DOI: 10.1007/s001340051012

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


  14 in total

Review 1.  [Scoring systems in the intensive care unit].

Authors:  K Lewandowski; M Lewandowski
Journal:  Anaesthesist       Date:  2003-10       Impact factor: 1.041

2.  Reduction in mortality after inappropriate early discharge from intensive care unit: logistic regression triage model.

Authors:  K Daly; R Beale; R W Chang
Journal:  BMJ       Date:  2001-05-26

3.  Ward mortality after ICU discharge: a multicenter validation of the Sabadell score.

Authors:  Rafael Fernandez; Jose Manuel Serrano; Isabel Umaran; Ricard Abizanda; Andres Carrillo; Maria Jesus Lopez-Pueyo; Pedro Rascado; Begoña Balerdi; Borja Suberviola; Gonzalo Hernandez
Journal:  Intensive Care Med       Date:  2010-03-11       Impact factor: 17.440

4.  Intensive care performance: How should we monitor performance in the future?

Authors:  Tim K Timmers; Michiel Hj Verhofstad; Karl Gm Moons; Luke Ph Leenen
Journal:  World J Crit Care Med       Date:  2014-11-04

5.  Critically ill patients readmitted to intensive care units--lessons to learn?

Authors:  Philipp G H Metnitz; Fabienne Fieux; Barbara Jordan; Thomas Lang; Rui Moreno; Jean-Roger Le Gall
Journal:  Intensive Care Med       Date:  2002-12-18       Impact factor: 17.440

6.  C-reactive protein concentration as a predictor of in-hospital mortality after ICU discharge: a prospective cohort study.

Authors:  Kwok M Ho; Kok Y Lee; Geoffrey J Dobb; Steven A R Webb
Journal:  Intensive Care Med       Date:  2007-11-09       Impact factor: 17.440

7.  Should C-reactive protein concentration at ICU discharge be used as a prognostic marker?

Authors:  Joana Silvestre; Luís Coelho; Pedro Póvoa
Journal:  BMC Anesthesiol       Date:  2010-09-27       Impact factor: 2.217

8.  Determinants of post-intensive care mortality in high-level treated critically ill patients.

Authors:  Gaetano Iapichino; Alberto Morabito; Giovanni Mistraletti; Luca Ferla; Danilo Radrizzani; Dinis Reis Miranda
Journal:  Intensive Care Med       Date:  2003-08-16       Impact factor: 17.440

9.  A modified McCabe score for stratification of patients after intensive care unit discharge: the Sabadell score.

Authors:  Rafael Fernandez; Francisco Baigorri; Gema Navarro; Antonio Artigas
Journal:  Crit Care       Date:  2006       Impact factor: 9.097

Review 10.  A meta-analysis to derive literature-based benchmarks for readmission and hospital mortality after patient discharge from intensive care.

Authors:  F Shaun Hosein; Derek J Roberts; Tanvir Chowdhury Turin; David Zygun; William A Ghali; Henry T Stelfox
Journal:  Crit Care       Date:  2014-12-31       Impact factor: 9.097

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