Literature DB >> 23591209

Mortality after hospital discharge in ICU patients.

Sylvia Brinkman1, Evert de Jonge, Ameen Abu-Hanna, M Sesmu Arbous, Dylan W de Lange, Nicolette F de Keizer.   

Abstract

OBJECTIVES: To assess the mortality risk of ICU patients after hospital discharge and compare it to mortality of the general Dutch population.
DESIGN: Cohort study of ICU admissions from a national ICU registry linked to administrative records from an insurance claims database.
SETTING: Eighty-one Dutch ICUs. PATIENTS: ICU patients (n = 91,203) who were discharged alive from the hospital between January 1, 2007, and October 1, 2010.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: The unadjusted observed survival was inspected by Kaplan-Meier curves. Mortality risk at 1, 2, and 3 years after hospital discharge was 12.5%, 19.3%, and 27.5%, respectively. The 3-year mortality after hospital discharge in ICU patients was higher than the weighted average of the gender and age-specific death risks of the general Dutch population (27.5% versus 8.2%). The 1-year mortality after hospital discharge was adjusted for case-mix differences by a set of determinants which showed a statistically significant influence on the outcome in a 10-fold cross validation. The elective and cardiac surgical patients have statistically significantly better mortality outcomes (adjusted hazard ratio, 0.73 and 0.28, respectively), whereas medical patients and patients admitted for cancer have statistically significantly worse mortality outcomes (adjusted hazard ratio, 1.41, 1.94, respectively) compared with other ICU patients. Urgent surgery patients and patients with a subarachnoid hemorrhage, trauma, acute renal failure, or severe community-acquired pneumonia did not differ statistically from the other ICU patients after adjustment for case-mix differences.
CONCLUSIONS: In-hospital mortality underestimates the true mortality of ICU patients as the mortality in the first months after hospital discharge is substantial. Most ICU patients still have an increased mortality risk in the subsequent years after hospital discharge compared with the general Dutch population. The mortality after hospital discharge differs widely between ICU subgroups. Future studies should focus on the analysis of mortality after hospital discharge that is attributable to the former ICU admission.

Entities:  

Mesh:

Year:  2013        PMID: 23591209     DOI: 10.1097/CCM.0b013e31827ca4e1

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  33 in total

1.  Quadrimodal distribution of death after trauma suggests that critical injury is a potentially terminal disease.

Authors:  Heena P Santry; Charles M Psoinos; Christopher J Wilbert; Julie M Flahive; Aimee R Kroll-Desrosiers; Timothy A Emhoff; Catarina I Kiefe
Journal:  J Crit Care       Date:  2015-01-08       Impact factor: 3.425

Review 2.  The long-lasting effects of the acute respiratory distress syndrome.

Authors:  Matthew F Mart; Lorraine B Ware
Journal:  Expert Rev Respir Med       Date:  2020-03-17       Impact factor: 3.772

Review 3.  Measuring and predicting long-term outcomes in older survivors of critical illness.

Authors:  M R Baldwin
Journal:  Minerva Anestesiol       Date:  2014-06-13       Impact factor: 3.051

4.  Our paper 20 years later: 1-year survival and 6-month quality of life after intensive care.

Authors:  Maurizia Capuzzo; Margherita Bianconi
Journal:  Intensive Care Med       Date:  2015-01-21       Impact factor: 17.440

5.  The obesity paradox for survivors of critically ill patients.

Authors:  Dawei Zhou; Chao Wang; Qing Lin; Tong Li
Journal:  Crit Care       Date:  2022-07-03       Impact factor: 19.334

6.  Risk Factors for 1-Year Mortality and Hospital Utilization Patterns in Critical Care Survivors: A Retrospective, Observational, Population-Based Data Linkage Study.

Authors:  Tamas Szakmany; Angharad M Walters; Richard Pugh; Ceri Battle; Damon M Berridge; Ronan A Lyons
Journal:  Crit Care Med       Date:  2019-01       Impact factor: 7.598

7.  Age, risk, and life expectancy in Norwegian intensive care: a registry-based population modelling study.

Authors:  Frode Lindemark; Øystein A Haaland; Reidar Kvåle; Hans Flaatten; Kjell A Johansson
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

8.  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

9.  Serum procalcitonin level and SOFA score at discharge from the intensive care unit predict post-intensive care unit mortality: a prospective study.

Authors:  Yosuke Matsumura; Taka-aki Nakada; Ryuzo Abe; Taku Oshima; Shigeto Oda
Journal:  PLoS One       Date:  2014-12-02       Impact factor: 3.240

10.  Psychological Symptoms in Relatives of Critically Ill Patients: A Longitudinal Cohort Study.

Authors:  Carin de Ridder; Marieke Zegers; Danny Jagernath; Gert Brunnekreef; Mark van den Boogaard
Journal:  Crit Care Explor       Date:  2021-06-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.