• Journal of critical care · Dec 2017

    Multicenter Study

    A multifactor model for predicting mortality in critically ill patients: A multicenter prospective cohort study.

    • Zhongwang Li, Baoli Cheng, Jingya Wang, Guohao Xie, Xiaobo Yu, Man Huang, Zhijun Xu, Zhongqiu Lu, Huaqin Sun, Jian Zhang, Zhiyi Wang, Haiya Wu, Xu Liu, Lihua Chu, Jialian Zhao, and Xiangming Fang.
    • Department of Anesthesiology and Intensive Care Unit, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China.
    • J Crit Care. 2017 Dec 1; 42: 18-24.

    PurposeThe objective of this study was to develop a model using a combination of routine clinical variables to predict mortality in critically ill patients.MethodsA cohort of 500 patients recruited from eight university hospital intensive care units (ICUs) was used to develop a model via logistic regression analyses. Discrimination and calibration analyses were performed to assess the model.ResultsThe model included the lactate level (odds ratio [OR]=1.11, 95% confidence interval [CI] 1.01 to 1.22, P=0.029), neutrophil-to-lymphocyte ratio (OR=1.03, 95% CI 1.01 to 1.04, P=0.002), acute physiology score (OR=1.11, 95% CI 1.06 to 1.15, P<0.001), Charlson comorbidity index (OR=1.36, 95% CI 1.15 to 1.60, P<0.001) and surgery type (OR: selective=Ref, no surgery=8.04, 95% CI 3.74 to 17.30, P<0.001, emergency=3.66, 95% CI 1.60 to 8.36, P=0.002). The model showed good discrimination (area under receiver operating characteristic curve: 0.84, 95% CI: 0.80 to 0.87) and calibration (Hosmer-Lemeshow test P=0.137) for predicting in-hospital mortality.ConclusionThe developed multifactor model can be used to effectively predict mortality in critically ill patients at ICU admission.Copyright © 2017 Elsevier Inc. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.