Your browser doesn't support javascript.
loading
Development and validation of predictive nomogram for postoperative non-union of closed femoral shaft fracture.
Li, Wenjing; Wang, Yan; Zhou, Shuai; Liu, Shihang; Di, Luqin; Chen, Wei; Lv, Hongzhi.
Afiliación
  • Li W; Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
  • Wang Y; School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China.
  • Zhou S; Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
  • Liu S; Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
  • Di L; School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China.
  • Chen W; Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
  • Lv H; Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
Sci Rep ; 14(1): 3543, 2024 02 12.
Article en En | MEDLINE | ID: mdl-38347044
ABSTRACT
Closed femoral shaft fracture is caused by high-energy injuries, and non-union exists after operation, which can significantly damage patients' body and mind. This study aimed to explore the factors influencing postoperative non-union of closed femoral shaft fractures and establish a predictive nomogram. Patients with closed femoral shaft fractures treated at Hebei Medical University Third Hospital between January 2015 and December 2021 were retrospectively enrolled. A total of 729 patients met the inclusion criteria; of them, those treated in 2015-2019 comprised the training cohort (n = 617), while those treated in 2020-2021 comprised the external validation cohort (n = 112). According to multivariate logistic regression analysis, complex fractures, bone defects, smoking, and postoperative infection were independent risk factors. Based on the factors, a predictive nomogram was constructed and validated. The C-indices in training and external validation cohorts were 0.818 and 0.781, respectively; and the C-index of internal validation via bootstrap resampling was 0.804. The Hosmer-Lemeshow test showed good fit of the nomogram (P > 0.05) consistent with the calibration plot results. The clinical effectiveness was best at a threshold probability of 0.10-0.40 in decision curve analysis. The risk prediction for patients with fractures using this nomogram may aid targeted prevention and rehabilitation programs.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nomogramas / Fracturas del Fémur Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nomogramas / Fracturas del Fémur Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido