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A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients

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...

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Autores principales: Xiang, Guangheng, Dong, Xiaoyu, Xu, Tao, Feng, Yongzeng, He, Zili, Ke, Chenrong, Xiao, Jian, Weng, Yi-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502327/
https://www.ncbi.nlm.nih.gov/pubmed/32982518
http://dx.doi.org/10.2147/RMHP.S270326
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author Xiang, Guangheng
Dong, Xiaoyu
Xu, Tao
Feng, Yongzeng
He, Zili
Ke, Chenrong
Xiao, Jian
Weng, Yi-Min
author_facet Xiang, Guangheng
Dong, Xiaoyu
Xu, Tao
Feng, Yongzeng
He, Zili
Ke, Chenrong
Xiao, Jian
Weng, Yi-Min
author_sort Xiang, Guangheng
collection PubMed
description 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.
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spelling pubmed-75023272020-09-24 A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients Xiang, Guangheng Dong, Xiaoyu Xu, Tao Feng, Yongzeng He, Zili Ke, Chenrong Xiao, Jian Weng, Yi-Min Risk Manag Healthc Policy Original Research 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. Dove 2020-09-16 /pmc/articles/PMC7502327/ /pubmed/32982518 http://dx.doi.org/10.2147/RMHP.S270326 Text en © 2020 Xiang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Xiang, Guangheng
Dong, Xiaoyu
Xu, Tao
Feng, Yongzeng
He, Zili
Ke, Chenrong
Xiao, Jian
Weng, Yi-Min
A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients
title A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients
title_full A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients
title_fullStr A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients
title_full_unstemmed A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients
title_short A Nomogram for Prediction of Postoperative Pneumonia Risk in Elderly Hip Fracture Patients
title_sort nomogram for prediction of postoperative pneumonia risk in elderly hip fracture patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502327/
https://www.ncbi.nlm.nih.gov/pubmed/32982518
http://dx.doi.org/10.2147/RMHP.S270326
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