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Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China.


ABSTRACT: BACKGROUND:Decreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS). METHODS:In this study, we collected the data on 1112 patients who underwent primary total knee arthroplasty surgery (TKAs) at our institution from Jan 1, 2011 to Nov 31, 2017. Based on the published literature, 16 potential factors (12 preoperative variables, 1 intraoperative variable, and 3 postoperative variables) were investigated. The patients requiring a hospital stay longer than the mean LOS (8?days) were defined as patients with a prolonged LOS. The factors with a P value less than 0.1 in the univariate analysis were further analysed in a multivariate model. An ordinal regression was used to determine independent risk factors for a prolonged LOS. RESULTS:The mean LOS was 8.3?days (±4.3), with a range of 2 to 30?days. Sixteen variables were analysed by univariate analysis, and 11 of them had p?

SUBMITTER: Song X 

PROVIDER: S-EPMC6995082 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Perioperative predictors of prolonged length of hospital stay following total knee arthroplasty: a retrospective study from a single center in China.

Song Xiaoxiao X   Xia Caiwei C   Li Qiangqiang Q   Yao Chen C   Yao Yao Y   Chen Dongyang D   Jiang Qing Q  

BMC musculoskeletal disorders 20200131 1


<h4>Background</h4>Decreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS).<h4>Methods</h4>In this study, we collected the data on 1112 patients who underwent primary total knee arthroplasty surgery (TKAs) at our institution from Jan 1, 2011 to Nov 31, 2017. Based on the published literature, 16 potential factors (1  ...[more]

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