{"title":"预测急性难治性腹股沟疝的绞窄风险:利用炎症标志物和影像学特征的综合模型的开发和验证","authors":"Yongzheng Xie, Haiyun Deng, Zhaohui Shi, Meng Wang, Binjie Wang, Changbo Li, Li Zheng","doi":"10.1155/ijcp/4920030","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>Accurately predicting strangulation risk in acute irreducible inguinal hernia remains a clinical challenge. This study aimed to develop and validate an integrated model using routinely available inflammatory markers and imaging features for preoperative risk assessment.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We conducted a retrospective cohort study of adults with acute irreducible inguinal hernia at a single center (January 2020–August 2024). Predictors were drawn from clinical, laboratory (including inflammatory indices) and imaging domains. We employed a three-stage analytical framework: (1) univariate screening with <i>t</i>-tests or Mann–Whitney <i>U</i> tests, (2) variable refinement using LASSO regression on significant univariate predictors, and (3) definitive model construction via multivariable logistic regression. Model performance was evaluated by its area under the curve (AUC), calibration (calibration plot and Hosmer–Lemeshow test), and clinical utility (net benefit on decision curve analysis, DCA). Model stability was assessed through 10-fold cross-validation and 1000 bootstrap internal validations.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>From 988 screened hernia patients, 84 met the inclusion criteria. The intraoperative findings confirmed bowel strangulation in 40 patients (47.6%). The final model, the Inguinal Hernia Strangulation Risk Score (IHS-RS), incorporated five independent predictors: pelvic effusion (odds ratio [OR]: 8.77), age cohort (OR: 2.12), femoral hernia (vs. nonfemoral) (OR: 2.28), neutrophil count (OR: 1.26), and blood urea nitrogen (OR: 1.19). The model showed strong discrimination with an apparent AUC of 0.847 (95% CI: 0.762–0.933) and an internally validated AUC of 0.790 on 10-fold cross-validation, good calibration (Hosmer–Lemeshow test <i>p</i> = 0.809), and provided a positive net clinical benefit across a range of threshold probabilities on DCA.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The IHS-RS, integrating five readily available preoperative variables, offers a practical tool for preoperative risk stratification. It has the potential to aid surgical planning and optimize triage and referral decisions for frontline clinicians managing acute irreducible inguinal hernia.</p>\n </section>\n </div>","PeriodicalId":13782,"journal":{"name":"International Journal of Clinical Practice","volume":"2026 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2026-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/ijcp/4920030","citationCount":"0","resultStr":"{\"title\":\"Predicting Strangulation Risk in Acute Irreducible Inguinal Hernias: Development and Validation of an Integrated Model Using Inflammatory Markers and Imaging Features\",\"authors\":\"Yongzheng Xie, Haiyun Deng, Zhaohui Shi, Meng Wang, Binjie Wang, Changbo Li, Li Zheng\",\"doi\":\"10.1155/ijcp/4920030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>Accurately predicting strangulation risk in acute irreducible inguinal hernia remains a clinical challenge. This study aimed to develop and validate an integrated model using routinely available inflammatory markers and imaging features for preoperative risk assessment.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We conducted a retrospective cohort study of adults with acute irreducible inguinal hernia at a single center (January 2020–August 2024). Predictors were drawn from clinical, laboratory (including inflammatory indices) and imaging domains. We employed a three-stage analytical framework: (1) univariate screening with <i>t</i>-tests or Mann–Whitney <i>U</i> tests, (2) variable refinement using LASSO regression on significant univariate predictors, and (3) definitive model construction via multivariable logistic regression. Model performance was evaluated by its area under the curve (AUC), calibration (calibration plot and Hosmer–Lemeshow test), and clinical utility (net benefit on decision curve analysis, DCA). Model stability was assessed through 10-fold cross-validation and 1000 bootstrap internal validations.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>From 988 screened hernia patients, 84 met the inclusion criteria. The intraoperative findings confirmed bowel strangulation in 40 patients (47.6%). The final model, the Inguinal Hernia Strangulation Risk Score (IHS-RS), incorporated five independent predictors: pelvic effusion (odds ratio [OR]: 8.77), age cohort (OR: 2.12), femoral hernia (vs. nonfemoral) (OR: 2.28), neutrophil count (OR: 1.26), and blood urea nitrogen (OR: 1.19). The model showed strong discrimination with an apparent AUC of 0.847 (95% CI: 0.762–0.933) and an internally validated AUC of 0.790 on 10-fold cross-validation, good calibration (Hosmer–Lemeshow test <i>p</i> = 0.809), and provided a positive net clinical benefit across a range of threshold probabilities on DCA.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The IHS-RS, integrating five readily available preoperative variables, offers a practical tool for preoperative risk stratification. 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Predicting Strangulation Risk in Acute Irreducible Inguinal Hernias: Development and Validation of an Integrated Model Using Inflammatory Markers and Imaging Features
Purpose
Accurately predicting strangulation risk in acute irreducible inguinal hernia remains a clinical challenge. This study aimed to develop and validate an integrated model using routinely available inflammatory markers and imaging features for preoperative risk assessment.
Methods
We conducted a retrospective cohort study of adults with acute irreducible inguinal hernia at a single center (January 2020–August 2024). Predictors were drawn from clinical, laboratory (including inflammatory indices) and imaging domains. We employed a three-stage analytical framework: (1) univariate screening with t-tests or Mann–Whitney U tests, (2) variable refinement using LASSO regression on significant univariate predictors, and (3) definitive model construction via multivariable logistic regression. Model performance was evaluated by its area under the curve (AUC), calibration (calibration plot and Hosmer–Lemeshow test), and clinical utility (net benefit on decision curve analysis, DCA). Model stability was assessed through 10-fold cross-validation and 1000 bootstrap internal validations.
Results
From 988 screened hernia patients, 84 met the inclusion criteria. The intraoperative findings confirmed bowel strangulation in 40 patients (47.6%). The final model, the Inguinal Hernia Strangulation Risk Score (IHS-RS), incorporated five independent predictors: pelvic effusion (odds ratio [OR]: 8.77), age cohort (OR: 2.12), femoral hernia (vs. nonfemoral) (OR: 2.28), neutrophil count (OR: 1.26), and blood urea nitrogen (OR: 1.19). The model showed strong discrimination with an apparent AUC of 0.847 (95% CI: 0.762–0.933) and an internally validated AUC of 0.790 on 10-fold cross-validation, good calibration (Hosmer–Lemeshow test p = 0.809), and provided a positive net clinical benefit across a range of threshold probabilities on DCA.
Conclusion
The IHS-RS, integrating five readily available preoperative variables, offers a practical tool for preoperative risk stratification. It has the potential to aid surgical planning and optimize triage and referral decisions for frontline clinicians managing acute irreducible inguinal hernia.
期刊介绍:
IJCP is a general medical journal. IJCP gives special priority to work that has international appeal.
IJCP publishes:
Editorials. IJCP Editorials are commissioned. [Peer reviewed at the editor''s discretion]
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International scope
IJCP publishes work from investigators globally. Around 30% of IJCP articles list an author from the UK. Around 30% of IJCP articles list an author from the USA or Canada. Around 45% of IJCP articles list an author from a European country that is not the UK. Around 15% of articles published in IJCP list an author from a country in the Asia-Pacific region.