0 73

Cited 1 times in

Critical Patient Severity Classification System predicts outcomes in intensive care unit patients

Authors
 Mona Choi  ;  Hyeong Suk Lee 
Citation
 Nursing in Critical Care, Vol.21(4) : 206-213, 2016 
Journal Title
 Nursing in Critical Care 
ISSN
 1362-1017 
Issue Date
2016
MeSH
Critical Care/classification ; Critical Care/statistics & numerical data* ; Critical Care Nursing ; Female ; Hospital Mortality ; Humans ; Intensive Care Units/organization & administration ; Length of Stay/statistics & numerical data ; Male ; Middle Aged ; Nursing Assessment/statistics & numerical data* ; Republic of Korea ; Severity of Illness Index*
Keywords
advanced patient assessment ; intensive care nursing
Abstract
BACKGROUND: The CPSCS was developed to assess the nursing care demands of patients in intensive care units (ICUs). AIM: This study aimed to examine the Critical Patient Severity Classification System (CPSCS) score as an independent predictor of patient hospital outcomes. DESIGN: This study was a secondary analysis. METHODS: Data from 6380 cases were extracted from the electronic medical records in ICUs at a tertiary hospital in Korea during 2010-2012. To examine the association of the CPSCS score with 30-day ICU mortality, the Cox proportional hazards model and Kaplan-Meier survival curves were used, and generalized linear regression models of gamma distribution were developed for ICU length of stay (LOS). RESULTS: More patients were admitted to surgical ICUs than medical ICUs (4664 versus 1716) during the study period. Medical ICU patients had longer ICU LOS, higher 30-day ICU mortality and a higher mean CPSCS score than surgical ICU patients. Cox analysis indicated that the mid and high CPSCS score groups had 1·687 and 2·913 times higher mortality risk, respectively, than the low CPSCS score group after adjusting for age, sex and primary diagnosis. The CPSCS score significantly predicted ICU mortality in both medical and surgical ICUs. Multivariate generalized linear regression indicated that CPSCS score was a significant predictor of ICU LOS after adjusting for other covariates. CONCLUSIONS: The CPSCS score can be used to efficiently predict ICU mortality and LOS in patients admitted to the medical and surgical ICUs, although only the high CPSCS score group had significantly high mortality than the low CPSCS score group in the medical ICU. RELEVANCE TO CLINICAL PRACTICE: The findings of this study contribute to valuable evidence that nursing-related factors have an impact on patient outcomes such as ICU mortality and LOS and that they have implications for hospital management, clinical practice and future research.
Full Text
http://onlinelibrary.wiley.com/doi/10.1111/nicc.12223/abstract
DOI
10.1111/nicc.12223
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
Yonsei Authors
최모나(Choi, Mona) ORCID logo https://orcid.org/0000-0003-4694-0359
Export
RIS (EndNote)
XLS (Excel)
XML
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/152243
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse