A nomogram for estimating the risk of unplanned readmission after major surgery
作者: Michael D. WilliamsFlorence E. TurrentineGeorge J. Stukenborg
作者单位: 1Department of Surgery, University of Virginia School of Medicine, Charlottesville, VA
刊名: Surgery, 2015, Vol.157 (4), pp.619-626
来源数据库: Elsevier Journal
DOI: 10.1016/j.surg.2014.11.004
英文摘要: Background(#br)Unplanned hospital readmissions among surgical patients are the target of multiple efforts to improve patient outcomes and to decrease avoidable costs. This study presents an analysis of unplanned readmissions for adult patients who undergo major surgery and the associated risk presented by clinical characteristics of the individual patients known before discharge.(#br)Methods(#br)Multivariable logistic regression analysis was used to develop and validate a model for estimating risk of readmission using data from the participant use data file of the American College of Surgeons National Surgical Quality Improvement Program.(#br)Results(#br)Unplanned readmission occurred in 5.3% of major surgery cases for patients who were discharged alive. A total of 48 candidate predictors...
全文获取路径: Elsevier  (合作)
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影响因子:3.373 (2012)

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