Evidence map›Paper›PMID 42592009›Full record

ArticleFrontiers in medicine2026

Risk factors analysis and risk prediction model establishment for heterotopic ossification after open reduction and internal fixation of distal humeral fractures: a retrospective cohort study.

Qiming Liu, YuHai Wang, Zilin Zhang, Teng Ma, Weiwei Guo, Yue Qin, Hao Zhang, Min Zhang

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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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5 · Who and what money

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8 authors.

Qiming LiuDepartment of Trauma and Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
YuHai WangDepartment of Trauma and Orthopedics, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, China.
Zilin ZhangDepartment of Trauma and Orthopedics, Yinchuan First People's Hospital, Yinchuan, Ningxia, China.
Teng MaDepartment of Trauma and Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Weiwei GuoDepartment of Trauma and Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Yue QinDepartment of Trauma and Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Hao ZhangDepartment of Trauma and Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Min ZhangDepartment of Cardiology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify independent risk factors for heterotopic ossification (HO) after open reduction and internal fixation (ORIF) of distal humeral fractures, and to construct and validate a clinically applicable risk prediction model. Methods: This retrospective cohort study included 826 patients with distal humeral fractures who underwent ORIF in 3 Grade A tertiary hospitals. Multi-dimensional baseline data were collected. The primary outcome was the occurrence of HO within 6 months after surgery. Potential risk factors were screened by univariate analysis and multivariate Logistic regression. The model was internally validated using Bootstrap resampling (1,000 iterations) to estimate the mean area under the receiver operating characteristic curve (AUC), and temporally validated using a cohort of 186 patients enrolled from the same tertiary hospital (temporal external validation). Receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) were used to evaluate the model's performance. A nomogram was also constructed for visualization. Results: The overall incidence of postoperative HO was 23.7%. Age ≥ 60 years, high-energy injury, comminuted fracture, extensive intraoperative soft tissue dissection, postoperative immobilization ≥ 4 weeks and postoperative infection were independent risk factors (all Conclusion: This study identified the core risk factors for HO. The established prediction model can serve as a preliminary risk-stratification tool for HO. Further prospective studies and geographically distinct external validation are still needed before this model can be applied in routine clinical practice.

Indexed as

distalheterotopichumeral fracturesnomogramsossificationrisk factors

Identifiers

PMID42592009
PMCPMC13463135

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.