Literature DB >> 23117912

Patients' characteristics associated with readmission to a surgical intensive care unit.

T K Timmers1, M H J Verhofstad, K G M Moons, L P H Leenen.   

Abstract

BACKGROUND: Readmission within 48 hours is a leading performance indicator of the quality of care in an intensive care unit.
OBJECTIVE: To investigate variables that might be associated with readmission to a surgical intensive care unit.
METHODS: Demographic characteristics, severity-of-illness scores, and survival rates were collected for all patients admitted to a surgical intensive care unit between 1995 and 2000. Long-term survival and quality of life were determined for patients who were readmitted within 30 days after discharge from the unit. Quality of life was measured with the EuroQol-6D questionnaire. Multivariate logistic analysis was used to calculate the independent association of expected covariates.
RESULTS: Mean follow-up time was 8 years. Of the 1682 patients alive at discharge, 141 (8%) were readmitted. The main causes of readmission were respiratory decompensation (48%) and cardiac conditions (16%). Compared with the total sample, patients readmitted were older, mostly had vascular (39%) or gastrointestinal (26%) disease, and had significantly higher initial severity of illness (P = .003, .007) and significantly more comorbid conditions (P = .005). For all surgical classifications except general surgery, readmission was independently associated with type of admission and need for mechanical ventilation. Long-term mortality was higher among patients who were readmitted than among the total sample. Nevertheless, quality-of-life scores were the same for patients who were readmitted and patients who were not.
CONCLUSION: The adverse effect of readmission to the intensive care unit on survival appears to be long-lasting, and predictors of readmission are scarce.

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Year:  2012        PMID: 23117912     DOI: 10.4037/ajcc2012773

Source DB:  PubMed          Journal:  Am J Crit Care        ISSN: 1062-3264            Impact factor:   2.228


  5 in total

Review 1.  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

2.  Inflammatory and perfusion markers as risk factors and predictors of critically ill patient readmission.

Authors:  Moreno Calcagnotto dos Santos; Márcio Manozzo Boniatti; Carla Silva Lincho; José Augusto Santos Pellegrini; Josi Vidart; Edison Moraes Rodrigues Filho; Silvia Regina Rios Vieira
Journal:  Rev Bras Ter Intensiva       Date:  2014 Apr-Jun

3.  Predicting cardiovascular intensive care unit readmission after cardiac surgery: derivation and validation of the Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH) cardiovascular intensive care unit clinical prediction model from a registry cohort of 10,799 surgical cases.

Authors:  Sean van Diepen; Michelle M Graham; Jayan Nagendran; Colleen M Norris
Journal:  Crit Care       Date:  2014-11-19       Impact factor: 9.097

4.  Does the implementation of a novel intensive care discharge risk score and nurse-led inpatient review tool improve outcome? A prospective cohort study in two intensive care units in the UK.

Authors:  Jez Fabes; William Seligman; Carolyn Barrett; Stuart McKechnie; John Griffiths
Journal:  BMJ Open       Date:  2017-12-26       Impact factor: 2.692

5.  Readmissions to General ICUs in a Geographic Area of Poland Are Seemingly Associated with Better Outcomes.

Authors:  Marek Grochla; Wojciech Saucha; Daniel Ciesla; Piotr Knapik
Journal:  Int J Environ Res Public Health       Date:  2020-01-16       Impact factor: 3.390

  5 in total

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