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Can I read A Clinical Nomogram Predicting Unplanned Intensive Care Unit Admission After Hip Fracture Surgery on EtoBox?
A Clinical Nomogram Predicting Unplanned Intensive Care Unit Admission After Hip Fracture Surgery by Jiabao Ju; Peixun Zhang; Yilin Wang; Yuhui Kou; Zhongguo Fu; Baoguo Jiang; Dianying Zhang is a Medicine article available to read on EtoBox.
What is A Clinical Nomogram Predicting Unplanned Intensive Care Unit Admission After Hip Fracture Surgery about?
## Background: Despite the improvement of surgical procedures and perioperative management, a portion of patients were still at high risk for intensive care unit admission owing to severe morbidity after hip fracture surgeries. the purpose of this study was to analyze influencing factors and to construct a clinical nomogram to predict unscheduled intensive care unit admission among inpatients after hip fracture surgeries. ## Methods: We enrolled a total of 1,234 hip fracture patients, with 40 unplanned intensive care unit admissions, from january 2011 to december 2018. demographics, chronic coexisting conditions at admission, laboratory tests, and surgical variables were collected and compared between intensive care unit admission and nonadmission groups using univariate analysis. the optimal lasso model was refined to the whole data set, and multivariate logistic regression was used to assign relative weights. a nomogram incorporating these predictors was constructed to visualize these predictors and their corresponding points of the risk for unplanned intensive care unit admission. the model was validated temporally using an independent data set from january 2019 to december 2019
Who reads A Clinical Nomogram Predicting Unplanned Intensive Care Unit Admission After Hip Fracture Surgery?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Jiabao Ju; Peixun Zhang; Yilin Wang; Yuhui Kou; Zhongguo Fu; Baoguo Jiang; Dianying Zhang
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)