Literature DB >> 25706486

A population-based observational study of intensive care unit-related outcomes. With emphasis on post-hospital outcomes.

Allan Garland1, Kendiss Olafson, Clare D Ramsey, Marina Yogendran, Randall Fransoo.   

Abstract

RATIONALE: Many studies of critical illness outcomes have been restricted to short-term outcomes, selected diagnoses, and patients in one or a few intensive care units (ICUs).
OBJECTIVES: Evaluate a range of relevant outcomes in a population-based cohort of patients admitted to ICUs.
METHODS: Among all adult residents of the Canadian province of Manitoba admitted to ICUs over a 9-year period, we assessed ICU, hospital, 30-day, and 180-day mortality rates; ICU and hospital lengths-of-stay; Post-hospital use of hospital care, ICU care, outpatient physician care, medications, and home care; and Post-hospital residence location. We explored data stratified by age, sex, and separate categories of geocoded income for urban and rural residents. For Post-hospital use variables we compared ICU patients with those admitted to hospitals without the need for ICU care.
MEASUREMENTS AND MAIN RESULTS: After ICU admission there was a high initial death rate, which declined between 30 and 180 days and thereafter remained at the lower value. Hospital mortality was 19.0%, with 21.7% dying within 6 months of ICU admission. Women had higher hospital mortality than men (20.8 vs. 17.8%; P = 0.0008). Among urban residents there was a steady gradient of declining hospital mortality with rising income (P < 0.0001). Mean ICU length of stay was 3.96 days, increasing 0.11 d/yr over the study period (P = 0.001); median ICU length of stay was 2.33 days and did not change over time. In the year after ICU care, 41% were rehospitalized, 10% were readmitted to an ICU, 98% had outpatient physician visits, 96% used prescription medications, and 27% used home care services. Although most of these parameters were statistically higher than for hospitalizations not requiring ICU care, differences were generally small. Among hospital survivors, 2.7% were discharged to chronic care facilities, with 2.5% living in such facilities 3 months later.
CONCLUSIONS: Post-hospital medical resource use among ICU survivors is substantial, although similar to that after non-ICU hospitalization. Although the fraction of survivors unable to live independently was small, a larger fraction required home care services. Identifying Post-hospital supports needed by ICU survivors can be useful for policy makers and others responsible for healthcare planning.

Entities:  

Keywords:  health resources; intensive care units; long-term care; outcomes assessment; outcomes research

Mesh:

Year:  2015        PMID: 25706486     DOI: 10.1513/AnnalsATS.201405-201CME

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


  19 in total

Review 1.  Optimizing Post-Intensive Care Unit Rehabilitation.

Authors:  Natalie Held; Marc Moss
Journal:  Turk Thorac J       Date:  2019-04-01

2.  Increased risk of death and readmission after hospital discharge of critically ill patients in a developing country: a retrospective multicenter cohort study.

Authors:  Vanessa Chaves Barreto Ferreira de Lima; Ana Luiza Bierrenbach; Gizelton Pereira Alencar; Ana Lucia Andrade; Luciano Cesar Pontes Azevedo
Journal:  Intensive Care Med       Date:  2018-07-12       Impact factor: 17.440

3.  Mortality of patients with rheumatoid arthritis requiring intensive care: a single-center retrospective study.

Authors:  Yael Haviv-Yadid; Yulia Segal; Amir Dagan; Kassem Sharif; Nicola Luigi Bragazzi; Abdulla Watad; Howard Amital; Yehuda Shoenfeld; Ora Shovman
Journal:  Clin Rheumatol       Date:  2019-06-26       Impact factor: 2.980

4.  The 5-year pre- and post-hospitalization treated prevalence of mental disorders and psychotropic medication use in critically ill patients: a Canadian population-based study.

Authors:  Kendiss Olafson; Ruth Ann Marrie; James M Bolton; Charles N Bernstein; O Joseph Bienvenu; Maia S Kredentser; Sarvesh Logsetty; Dan Chateau; Yao Nie; Marcus Blouw; Tracie O Afifi; Murray B Stein; William D Leslie; Laurence Y Katz; Natalie Mota; Renée El-Gabalawy; Murray W Enns; Christine Leong; Sophia Sweatman; Jitender Sareen
Journal:  Intensive Care Med       Date:  2021-09-08       Impact factor: 17.440

5.  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

6.  Bronchoscopic delivery of aminocaproic acid as a treatment for pulmonary bleeding: A case series.

Authors:  Russell P Simon; Clara Oromendia; Lourdes M Sanso; Liz G Ramos; Kapil Rajwani
Journal:  Pulm Pharmacol Ther       Date:  2019-11-26       Impact factor: 3.410

7.  Utilization of Cardiac Rehabilitation Among Cardiac Intensive Care Unit Survivors.

Authors:  Michael Sola; Andrea D Thompson; Antoinette B Coe; Vincent D Marshall; Michael P Thomas; Hallie C Prescott; Matthew C Konerman
Journal:  Am J Cardiol       Date:  2019-08-07       Impact factor: 2.778

8.  Early (0-7 day) and late (8-30 day) readmission predictors in acute coronary syndrome, atrial fibrillation, and congestive heart failure patients.

Authors:  George Cholack; Joshua Garfein; Josh Errickson; Rachel Krallman; Daniel Montgomery; Eva Kline-Rogers; Kim Eagle; Melvyn Rubenfire; Sherry Bumpus; Geoffrey D Barnes
Journal:  Hosp Pract (1995)       Date:  2021-09-12

9.  Epidemiological trends of surgical admissions to the intensive care unit in the United States.

Authors:  Victor Vakayil; Nicholas E Ingraham; Alexandria J Robbins; Rebecca Freese; Elise F Northrop; Melissa E Brunsvold; Kathryn M Pendleton; Anthony Charles; Jeffrey G Chipman; Christopher J Tignanelli
Journal:  J Trauma Acute Care Surg       Date:  2020-08       Impact factor: 3.697

10.  Ward Capacity Strain: A Novel Predictor of 30-Day Hospital Readmissions.

Authors:  Rachel Kohn; Michael O Harhay; Brian Bayes; Mark E Mikkelsen; Sarah J Ratcliffe; Scott D Halpern; Meeta Prasad Kerlin
Journal:  J Gen Intern Med       Date:  2018-11       Impact factor: 5.128

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.