ArticleScientific reports2024
Construction and validation of nomogram to predict surgical site infection after hysterectomy: a retrospective study.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Incidence of surgical site infection surveillance in hysterectomies and related risk factors: a prospective cohort study.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026Article
- Risk factors for surgical site infections after hysterectomy: A systematic review and meta-analysis.Pakistan journal of medical sciences · 2026Review
- Surgical site infection prevention: a scoping review of strategies, implementation barriers, and emerging approaches.Frontiers in public health · 2026Article
- Comment to: Clinical outcomes of triclosan-coated barbed suture in open hernia repair.Hernia : the journal of hernias and abdominal wall surgery · 2024Article
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Authors and funding
3 authors.
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Abstract
This study aimed to develop a predictive tool for surgical site infections (SSI) following hysterectomy and propose strategies for their prevention and control. We conducted a retrospective analysis at a tertiary maternity and child specialist hospital in Zhejiang Province, focusing on patients who underwent hysterectomy between January 2018 and December 2023 for gynecological malignancies or benign reproductive system diseases resistant to medical treatment. Risk factors associated with surgical site infections (SSI) following hysterectomy were identified using LASSO regression analysis on data from 2018 to 2022 as the training set. Independent risk factors were then used to develop a nomogram. The model was validated using data from 2023 as the validation set. Model performance was assessed using the area under the receiver operating characteristic curve (ROC), while calibration curves were employed to gauge model accuracy. Furthermore, clinical utility was evaluated through clinical decision curve analysis (DCA) and clinical impact curve analysis (CIC), providing insights into the practical application of the nomogram. Multivariate analysis identified six independent risk factors associated with SSI development after hysterectomy: BMI ≥ 24 kg/m
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