Evidence map›Paper›PMID 42027823›Full record

ArticleFrontiers in medicine2026

A clinically useful nomogram integrating bedside lung ultrasound and clinical parameters for pulmonary complications after non-thoracic surgery in blunt chest trauma patients.

Xiaorui Han, Wen Chi, Peng Pang, Xiaobing Liu, Zhenguo Luo, Wenbo Cai, Li Zhang, Jianhong Hao

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaorui HanDepartment of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.
Wen ChiDepartment of Operating Room, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.
Peng PangDepartment of Anaesthesiology, Binzhou Medical College Affiliated Hospital, Binzhou, Shaanxi, China.
Xiaobing LiuDepartment of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.
Zhenguo LuoDepartment of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.
Wenbo CaiDepartment of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.
Li ZhangDepartment of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.
Jianhong HaoDepartment of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Lung ultrasonography can be used to effectively evaluate the severity of pulmonary injury. This study aimed to develop a nomogram that incorporated the results of lung ultrasonography and traditional clinical parameters to predict postoperative pulmonary complications (PPCs) in patients with blunt chest trauma who underwent non-thoracic surgery. Design: Prospective, observational study. Setting: The study was performed in a first 3A-grade hospitals in China. Participants: This study included 374 patients with blunt chest trauma who underwent extremity or pelvic fracture surgery. Interventions: All patients underwent lung ultrasonography before surgery and received general anesthesia combined with a regional block, goal-directed fluid therapy, and lung-protective ventilation. 30-days postoperatively, all participants were followed up to assess PPCs. Logistic regression was used to identify the key predictors of PPCs, and a nomogram was constructed. The predictive efficacy of the model was evaluated using receiver operating characteristic (ROC) and calibration curves, and the clinical application value was evaluated using decision curve analysis (DCA). Results: PPC incidence was 26.73%. American Society of Anesthesiologists physical status class, chronic obstructive pulmonary disease, recent respiratory infection, pneumothorax, lung ultrasonography score, and number of rib fractures were incorporated into the nomogram. The nomogram exhibited an excellent discriminative ability, with an area under the ROC curve of 0.932. The DCA demonstrated significant clinical utility of this nomogram in predicting PPCs. Conclusion: We developed a nomogram that combined the results of lung ultrasonography and traditional clinical parameters to predict the risk of PPCs in patients with blunt chest trauma who underwent non-thoracic surgery. This validation revealed satisfactory discrimination, indicating its potential clinical utility. This may assist in clinical decision-making.

Indexed as

chest injuriesfracturespostoperative complicationsprediction modelultrasonography

Identifiers

PMID42027823
PMCPMC13099831

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