Tianjin Medical Journal ›› 2026, Vol. 54 ›› Issue (9): 967-972.doi: 10.11958/20253733

• Clinical Research • Previous Articles     Next Articles

Influencing factors and construction of a predictive model for postoperative complications of Craig type I clavicle fractures in adolescents

SONG Xiaolei1(), ZHANG Wenlu1,△(), LI Yongben1, LI Na1, LUO Yingying1, LIU Zhen2, ZHANG Qing1   

  1. 1 Pediatric Orthopedics Department, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cangzhou 061000, China
    2 Nursing Department, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cangzhou 061000, China
  • Received:2025-12-25 Revised:2026-03-06 Published:2026-09-15 Online:2026-09-14
  • Contact: △E-mail:zhangwenluzwlmax@163.com

Abstract:

Objective To investigate the influencing factors of postoperative complications in adolescents with Craig type Ⅰ clavicle fractures, analyze the protective effect of retrograde elastic intramedullary nailing, and develop/validate a predictive model for postoperative complications. Methods A total of 180 adolescent patients with Craig type Ⅰ clavicle fractures were selected. The patients were followed up for 1 year after surgery, and they were divided into the complication group (56 cases) and the non-complication group (124 cases) based on whether complications occurred. The clinical data of the two groups were compared, and the influencing factors of postoperative complications were analyzed using multivariate Logistic regression, and a nomogram prediction model was constructed accordingly. The predictive efficacy of each factor and the combined model was evaluated using the receiver operating characteristic (ROC) curve. Results Compared with the non-complication group, the intraoperative blood loss and serum N-terminal peptide cross-linking (NTX) level were higher in the complication group, while the Constant-Murley shoulder joint score, serum type Ⅰ procollagen N-terminal propeptide (PⅠNP) and the proportion of retrograde elastic nail internal fixation were lower in the complication group (P<0.05). Multivariate Logistic regression analysis revealed that high intraoperative blood loss and high NTX level were independent risk factors for postoperative complications, while retrograde elastic nail internal fixation, high Constant-Murley score and high PⅠNP level were protective factors (P<0.05). Based on this, a predictive model was constructed. The model passed the Omnibus test (P<0.01) and fitted well (Hosmer-Lemeshow test, χ2 = 10.047, P = 0.262). ROC curve analysis showed that the combined predictive model of surgical method, intraoperative blood loss, Constant-Murley score, PⅠNP and NTX had the best discrimination efficacy, with an area under the curve (AUC) of 0.949 (95% CI: 0.914-0.984), which was significantly higher than any single predictive factor (P<0.05), and its prediction sensitivity and specificity were 91.1% and 87.9%, respectively. Conclusion The constructed combined predictive model has good discrimination and predictive efficacy for postoperative complications in adolescents with Craig type Ⅰ clavicle fractures, and can provide a quantitative tool for clinical risk assessment.

Key words: clavicle, fractures, fracture fixation, intramedullary, adolescent, postoperative complications, retrograde elastic nailing, risk factors, predictive model

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