Literature DB >> 25735682

Efficacy of the APACHE II score at ICU discharge in predicting post-ICU mortality and ICU readmission in critically ill surgical patients.

H Lee1, C W Lim1, H P Hong1, J W Ju1, Y T Jeon2, J W Hwang2, H P Park1.   

Abstract

In this study, we evaluated the efficacy of the discharge Acute Physiology and Chronic Health Evaluation (APACHE) II score in predicting post-intensive care unit (ICU) mortality and ICU readmission during the same hospitalisation in a surgical ICU. Of 1190 patients who were admitted to the ICU and stayed >48 hours between October 2007 and March 2010, 23 (1.9%) died and 86 (7.2%) were readmitted after initial ICU discharge, with 26 (3.0%) admitted within 48 hours. The area under the receiver operating characteristics curve of the discharge and admission APACHE II scores in predicting in-hospital mortality was 0.631 (95% confidence interval [CI] 0.603 to 0.658) and 0.669 (95% CI 0.642 to 0.696), respectively (P=0.510). The area under the receiver operating characteristics curve of discharge and admission APACHE II scores for predicting all forms of readmission was 0.606 (95% CI 0.578 to 0.634) and 0.574 (95% CI 0.545 to 0.602), respectively (P=0.316). The area under the receiver operating characteristics curve of discharge APACHE II score in predicting early ICU readmissions was, however, higher than that of admission APACHE II score (0.688 [95% CI 0.660 to 0.714] versus 0.505 [95% CI 0.476 to 0.534], P=0.001). The discharge APACHE II score (odds ratio [OR] 1.1, 95% CI 1.01 to 1.22, P=0.024), unplanned ICU readmission (OR 20.0, 95% CI 7.6 to 53.1, P=0.001), eosinopenia at ICU discharge (OR 6.0, 95% CI 1.34 to 26.9, P=0.019), and hospital length-of-stay before ICU admission (OR 1.02, 95% CI 1.01 to 1.03, P=0.021) were significant independent factors in predicting post-ICU mortality. This study suggests that the discharge APACHE II score may be useful in predicting post-ICU mortality and is superior to the admission APACHE II score in predicting early ICU readmission in surgical ICU patients.

Entities:  

Keywords:  admission APACHE II score; discharge APACHE II score; hospital mortality; prediction; readmission

Mesh:

Year:  2015        PMID: 25735682     DOI: 10.1177/0310057X1504300206

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  31 in total

1.  Clinical significance of serum levels of microRNA-27a and its correlation with interleukin-10 in patients with multiple organ dysfunction syndrome caused by acute paraquat poisoning.

Authors:  Huizhen Dai; Huan Zhang; Xinxia Zu; Hongyan Wang; Lili Wang
Journal:  Exp Ther Med       Date:  2020-01-02       Impact factor: 2.447

2.  Home Return After Surgery in Patients Aged over 85 Years is Associated with Preoperative Albumin Levels, the Type of Surgery, and APACHE II Score.

Authors:  Bora Lee; Sungwon Na; Miran Park; Sungyeon Ham; Jeongmin Kim
Journal:  World J Surg       Date:  2017-04       Impact factor: 3.352

3.  Preventing Early Bouncebacks to the Neurointensive Care Unit: A Retrospective Analysis and Quality Improvement Pilot.

Authors:  David G Coughlin; Monisha A Kumar; Neha N Patel; Rebecca L Hoffman; Scott E Kasner
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

4.  Albumin, white blood cell count, and body mass index improve discrimination of mortality in HIV-positive individuals.

Authors:  Janet P Tate; Jonathan A C Sterne; Amy C Justice
Journal:  AIDS       Date:  2019-04-01       Impact factor: 4.177

Review 5.  Association of severity of illness and intensive care unit readmission: A systematic review.

Authors:  Evan G Wong; Ann M Parker; Doris G Leung; Emily P Brigham; Alicia I Arbaje
Journal:  Heart Lung       Date:  2016 Jan-Feb       Impact factor: 2.210

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.  Polypharmacy prior to in-hospital cardiac arrest among patients with cardiopulmonary diseases: A pilot study.

Authors:  Mina Attin; Simeon Abiola; Rijul Magu; Spencer Rosero; Michael Apostolakos; Christine M Groth; Robert Block; C D Joey Lin; Orna Intrator; Deborah Hurley; Kimberly Arcoleo
Journal:  Resusc Plus       Date:  2020-10-09

8.  Discrimination and Calibration of the Veterans Aging Cohort Study Index 2.0 for Predicting Mortality Among People With Human Immunodeficiency Virus in North America.

Authors:  Kathleen A McGinnis; Amy C Justice; Richard D Moore; Michael J Silverberg; Keri N Althoff; Maile Karris; Viviane D Lima; Heidi M Crane; Michael A Horberg; Marina B Klein; Stephen J Gange; Kelly A Gebo; Angel Mayor; Janet P Tate
Journal:  Clin Infect Dis       Date:  2022-08-25       Impact factor: 20.999

9.  Sarcopenia as a predictor of mortality among the critically ill in an intensive care unit: a systematic review and meta-analysis.

Authors:  Xiao-Ming Zhang; Denghong Chen; Xiao-Hua Xie; Jun-E Zhang; Yingchun Zeng; Andy Sk Cheng
Journal:  BMC Geriatr       Date:  2021-06-02       Impact factor: 3.921

10.  Comparison of APACHE IV with APACHE II, SAPS 3, MELD, MELD-Na, and CTP scores in predicting mortality after liver transplantation.

Authors:  Hannah Lee; Susie Yoon; Seung-Young Oh; Jungho Shin; Jeongsoo Kim; Chul-Woo Jung; Ho Geol Ryu
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.