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Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study

OBJECTIVE: To identify whether the partial pressure of oxygen in arterial blood (PaO(2)) level at admission is an independent risk factor as a prognostic biomarker to predict postoperative pneumonia (POP) in the geriatric population who have undergone hip fracture surgical repair at our hospital. DE...

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Autores principales: Ji, Yahong, Li, Xiaoli, Wang, Yakang, Cheng, Li, Tian, Hua, Li, Na, Wang, Junning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552163/
https://www.ncbi.nlm.nih.gov/pubmed/34706948
http://dx.doi.org/10.1136/bmjopen-2020-048272
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author Ji, Yahong
Li, Xiaoli
Wang, Yakang
Cheng, Li
Tian, Hua
Li, Na
Wang, Junning
author_facet Ji, Yahong
Li, Xiaoli
Wang, Yakang
Cheng, Li
Tian, Hua
Li, Na
Wang, Junning
author_sort Ji, Yahong
collection PubMed
description OBJECTIVE: To identify whether the partial pressure of oxygen in arterial blood (PaO(2)) level at admission is an independent risk factor as a prognostic biomarker to predict postoperative pneumonia (POP) in the geriatric population who have undergone hip fracture surgical repair at our hospital. DESIGN: A retrospective cohort study. SETTING: This is a retrospective chart review of POP after hip fracture surgery in China. PARTICIPANTS: In training cohort, patients aged ≥65 years who had hip fracture surgery between 1 January 2018 and 30 November 2019. In the validation cohort, a series of patients who underwent hip fracture surgery between 1 January 2020 and 28 February 2020. INTERVENTIONS: Receiver operating characteristic (ROC) analysis was used to obtain the area under the ROC curve (AUC) and cut-off values of PaO(2) to predict POP. A binomial logistic regression model was used to identify potential risk factors for POP by analysing demographic distribution factors, laboratory results, preoperative comorbidities and surgical factors. Then the regression model was validated using an independent cohort. RESULTS: In the training cohort, ROC curves were generated to compare the predictive performance of PaO(2) for the occurrence of POP, and the area under the receiver operating characteristic curve (AUC) was 0.653 (95% CI 0.577 to 0.729, p<0.0001), with sensitivity and specificity values of 60.0% and 63.8%, respectively. The cut-off value of the PaO(2) for POP was 72.5 mm Hg. Binary logistic regression analysis revealed that hypoxaemia (PaO(2) <72.5 mm Hg) at hospital admission (OR=3.000, 95% CI 1.629 to 5.528; p<0.0001) was independent risk factors associated with POP after hip fracture surgery. In the validation cohort, PaO(2) had a predictive effect for POP (AUC 0.71, 95% CI 0.541 to 0.891). CONCLUSIONS: The current study revealed that the PaO(2) level at hospital admission is a simple and widely available biomarker predictor of POP after hip fracture surgery in elderly patients.
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spelling pubmed-85521632021-11-10 Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study Ji, Yahong Li, Xiaoli Wang, Yakang Cheng, Li Tian, Hua Li, Na Wang, Junning BMJ Open Geriatric Medicine OBJECTIVE: To identify whether the partial pressure of oxygen in arterial blood (PaO(2)) level at admission is an independent risk factor as a prognostic biomarker to predict postoperative pneumonia (POP) in the geriatric population who have undergone hip fracture surgical repair at our hospital. DESIGN: A retrospective cohort study. SETTING: This is a retrospective chart review of POP after hip fracture surgery in China. PARTICIPANTS: In training cohort, patients aged ≥65 years who had hip fracture surgery between 1 January 2018 and 30 November 2019. In the validation cohort, a series of patients who underwent hip fracture surgery between 1 January 2020 and 28 February 2020. INTERVENTIONS: Receiver operating characteristic (ROC) analysis was used to obtain the area under the ROC curve (AUC) and cut-off values of PaO(2) to predict POP. A binomial logistic regression model was used to identify potential risk factors for POP by analysing demographic distribution factors, laboratory results, preoperative comorbidities and surgical factors. Then the regression model was validated using an independent cohort. RESULTS: In the training cohort, ROC curves were generated to compare the predictive performance of PaO(2) for the occurrence of POP, and the area under the receiver operating characteristic curve (AUC) was 0.653 (95% CI 0.577 to 0.729, p<0.0001), with sensitivity and specificity values of 60.0% and 63.8%, respectively. The cut-off value of the PaO(2) for POP was 72.5 mm Hg. Binary logistic regression analysis revealed that hypoxaemia (PaO(2) <72.5 mm Hg) at hospital admission (OR=3.000, 95% CI 1.629 to 5.528; p<0.0001) was independent risk factors associated with POP after hip fracture surgery. In the validation cohort, PaO(2) had a predictive effect for POP (AUC 0.71, 95% CI 0.541 to 0.891). CONCLUSIONS: The current study revealed that the PaO(2) level at hospital admission is a simple and widely available biomarker predictor of POP after hip fracture surgery in elderly patients. BMJ Publishing Group 2021-10-27 /pmc/articles/PMC8552163/ /pubmed/34706948 http://dx.doi.org/10.1136/bmjopen-2020-048272 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Geriatric Medicine
Ji, Yahong
Li, Xiaoli
Wang, Yakang
Cheng, Li
Tian, Hua
Li, Na
Wang, Junning
Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
title Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
title_full Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
title_fullStr Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
title_full_unstemmed Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
title_short Partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
title_sort partial pressure of oxygen level at admission as a predictor of postoperative pneumonia after hip fracture surgery in a geriatric population: a retrospective cohort study
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552163/
https://www.ncbi.nlm.nih.gov/pubmed/34706948
http://dx.doi.org/10.1136/bmjopen-2020-048272
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