Literature DB >> 28530118

Readmission to the Intensive Care Unit: Incidence, Risk Factors, Resource Use, and Outcomes. A Retrospective Cohort Study.

Carolina R Ponzoni1, Thiago D Corrêa1, Roberto R Filho1, Ary Serpa Neto1, Murillo S C Assunção1, Andreia Pardini1, Guilherme P P Schettino1.   

Abstract

RATIONALE: Readmission to the intensive care unit (ICU) is associated with poor clinical outcomes, increased length of ICU and hospital stay, and higher costs. Nevertheless, knowledge of epidemiology of ICU readmissions, risk factors, and attributable outcomes is restricted to developed countries.
OBJECTIVES: To determine the effect of ICU readmissions on in-hospital mortality, determine incidence of ICU readmissions, identify predictors of ICU readmissions and hospital mortality, and compare resource use and outcomes between readmitted and nonreadmitted patients in a developing country.
METHODS: This retrospective single-center cohort study was conducted in a 40-bed, open medical-surgical ICU of a private, tertiary care hospital in São Paulo, Brazil. The Local Ethics Committee at Hospital Israelita Albert Einstein approved the study protocol, and the need for informed consent was waived. All consecutive adult (≥18 yr) patients admitted to the ICU between June 1, 2013 and July 1, 2015 were enrolled in this study.
RESULTS: Comparisons were made between patients readmitted and not readmitted to the ICU. Logistic regression analyses were performed to identify predictors of ICU readmissions and hospital mortality. Out of 5,779 patients admitted to the ICU, 576 (10%) were readmitted to the ICU during the same hospitalization. Compared with nonreadmitted patients, patients readmitted to the ICU were more often men (349 of 576 patients [60.6%] vs. 2,919 of 5,203 patients [56.1%]; P = 0.042), showed a higher (median [interquartile range]) severity of illness (Simplified Acute Physiology III score) at index ICU admission (50 [41-61] vs. 42 [32-54], respectively, for readmitted and nonreadmitted patients; P < 0.001), and were more frequently admitted due to medical reasons (425 of 576 [73.8%] vs. 2,998 of 5,203 [57.6%], respectively, for readmitted and nonreadmitted patients; P < 0.001). Simplified Acute Physiology III score (P < 0.001), ICU admission from the ward (odds ratio [OR], 1.907; 95% confidence interval [CI], 1.463-2.487; P < 0.001), vasopressors need during index ICU stay (OR, 1.391; 95% CI, 1.130-1.713; P = 0.002), and length of ICU stay (P = 0.001) were independent predictors of ICU readmission. After adjusting for severity of illness, ICU readmission (OR, 4.103; 95% CI, 3.226-5.518; P < 0.001), admission source, presence of cancer, use of vasopressors, mechanical ventilation or renal replacement therapy, length of ICU stay, and nighttime ICU discharge were associated with increased risk of in-hospital death.
CONCLUSIONS: Readmissions to the ICU were frequent and strongly related to poor outcomes. The degree to which ICU readmissions are preventable as well as the main causes of preventable ICU readmissions need to be further determined.

Entities:  

Keywords:  intensive care unit; outcomes; patient discharge; patient readmissions; resource use

Mesh:

Year:  2017        PMID: 28530118     DOI: 10.1513/AnnalsATS.201611-851OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  23 in total

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Review 5.  [Unplanned admission or readmission to the intensive care unit : Avoidable or fateful?]

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Journal:  Chirurg       Date:  2018-04       Impact factor: 0.955

6.  Impact of Glasgow Coma Scale scores on unplanned intensive care unit readmissions among surgical patients.

Authors:  Tak Kyu Oh; In-Ae Song; Young-Tae Jeon
Journal:  Ann Transl Med       Date:  2019-10

7.  A Simple Scoring Tool to Predict Medical Intensive Care Unit Readmissions Based on Both Patient and Process Factors.

Authors:  Nirav Haribhakti; Pallak Agarwal; Julia Vida; Pamela Panahon; Farsha Rizwan; Sarah Orfanos; Jonathan Stoll; Saqib Baig; Javier Cabrera; John B Kostis; Cande V Ananth; William J Kostis; Anthony T Scardella
Journal:  J Gen Intern Med       Date:  2021-01-22       Impact factor: 5.128

8.  Impact of a Postintensive Care Unit Multidisciplinary Follow-up on the Quality of Life (SUIVI-REA): Protocol for a Multicenter Randomized Controlled Trial.

Authors:  Diane Friedman; Lamiae Grimaldi; Alain Cariou; Philippe Aegerter; Stéphane Gaudry; Abdel Ben Salah; Haikel Oueslati; Bruno Megarbane; Nicolas Meunier-Beillard; Jean-Pierre Quenot; Carole Schwebel; Laurent Jacob; Ségloène Robin Lagandré; Pierre Kalfon; Romain Sonneville; Shidasp Siami; Aurelien Mazeraud; Tarek Sharshar
Journal:  JMIR Res Protoc       Date:  2022-05-09

9.  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

10.  Importance of the National Early Warning Score (NEWS) at the time of discharge from the intensive care unit

Authors:  Cihangir Doğu; Güvenç Doğan; Selçuk Kayir; Özgür Yağan
Journal:  Turk J Med Sci       Date:  2020-08-26       Impact factor: 0.973

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