Evidence map›Paper›PMID 40821067›Full record

ArticleAmerican journal of translational research2025

Identification of risk factors and development of a high-performance predictive model for non-healing in elderly patients with intertrochanteric fractures post-internal fixation.

Jianyue Wu, Peng Xu, Dong Zhang, Yingjie Ni, Jijun Zhao

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In one paragraph

Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jianyue WuDepartment of Orthopedics, Wuxi Xishan People's Hospital Wuxi 214015, Jiangsu, China.
Peng XuDepartment of Orthopedics, Wuxi Xishan People's Hospital Wuxi 214015, Jiangsu, China.
Dong ZhangDepartment of Orthopedics, Wuxi Xishan People's Hospital Wuxi 214015, Jiangsu, China.
Yingjie NiDepartment of Orthopedics, Wuxi Xishan People's Hospital Wuxi 214015, Jiangsu, China.
Jijun ZhaoDepartment of Orthopedics, Wuxi People's Hospital Wuxi 214023, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify risk factors associated with non-healing in elderly patients with intertrochanteric femoral fractures treated with internal fixation and to develop a predictive model for non-union risk.

methodsWe conducted a retrospective analysis of 889 elderly patients treated with internal fixation for intertrochanteric fractures at Wuxi Xishan People's Hospital from March 2021 to December 2024. Patients were classified into healing (n=806) and poor healing groups (n=83) based on radiographic evidence three months post-surgery. Univariate and multivariate logistic regression analyses were used to identify significant risk factors. A predictive model was developed and validated using receiver operating characteristic (ROC) analysis and the area under the curve (AUC).

resultsSignificant risk factors for poor healing included smoking history (Odds ratio [OR] 1.750, P=0.022), osteoporosis (OR 2.055, P=0.003), posterior or medial wall bone defects (OR 1.964, P=0.005), low postoperative albumin (OR 1.674, P=0.032), and early weight-bearing (OR 1.765, P=0.018). The use of proximal femoral nail antirotation (PFNA) significantly reduced the risk of poor-healing (OR 0.515, P=0.006). The combined predictive model achieved an AUC of 0.949, indicating high predictive value.

conclusionsOur findings highlight key risk factors for non-healing in elderly patients post-internal fixation for intertrochanteric fractures. The developed predictive model, incorporating clinical, biochemical, and surgical factors, offers high accuracy and may help identify high-risk patients for targeted intervention.

Indexed as

elderly patientsinternal fixationIntertrochanteric fracturesnon-healing risk factorsorthopedic surgerypredictive model

Identifiers

PMID40821067
PMCPMC12351563

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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.