论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
预测老年髋部骨折患者术后肺炎风险的诺模图
Authors Xiang G, Dong X, Xu T, Feng Y, He Z, Ke C, Xiao J, Weng YM
Received 5 July 2020
Accepted for publication 27 August 2020
Published 16 September 2020 Volume 2020:13 Pages 1603—1611
DOI https://doi.org/10.2147/RMHP.S270326
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Marco Carotenuto
Purpose: Pneumonia is one of the common complications of hip fracture. This study aimed to evaluate the risk factors and apply a nomogram to predict postoperative pneumonia in elderly hip fracture patients.
Materials and Methods: From August 2014 to October 2019, 1113 hip fracture patients who were older than 65 years and underwent surgical treatment in our hospital were subjects of this study. Univariate and multivariate Cox analyses were used to identify independent risk factors. A predictive nomogram model was built, and the discrimination and calibration were determined by receiver operating characteristic and calibration plot.
Results: A total of 166 patients developed pneumonia after operation (14.91%, pneumonia group) while the remaining 947 patients did not (85.09%, non-pneumonia group). According to the results, body mass index (OR, 0.76, 95% CI, 0.70 to 0.84, P< 0.001), serum albumin (OR, 0.86, 95% CI, 0.79 to 0.93, P< 0.001), c-reactive protein (OR, 1.01, 95% CI, 1.00 to 1.92, P=0.011), functional status (OR, 2.94, 95% CI, 1.69 to 5.10, P< 0.001) and time to surgery (OR, 4.56, 95% CI, 2.64 to 7.88, P< 0.001) were identified as independent risk factors of pneumonia. The area under the curve value for postoperative pneumonia risk was 0.905, and the P-value of the Hosmer-Lemeshow calibration test was 0.529.
Conclusion: Our nomogram model can be used to predict the risk of pneumonia in elderly hip fractures after surgery and provide clinicians with guidance for better perioperative intervention to improve prognosis and reduce mortality.
Keywords: pneumonia, elderly, hip fracture, risk factors, nomogram
