Objective <p>To investigate the predictive value of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) for orchiectomy risk in patients with testicular torsion.</p> Methods <p>Patients diagnosed with testicular torsion (TT) and hospitalized for treatment between September 2014 and September 2022 were retrospectively included in this study. Demographic and clinical characteristics were collected and analyzed. Stepwise logistic regression analysis was applied to identify independent predictors of orchiectomy risk. The predictive performance of the model incorporating SII and SIRI was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).</p> Results <p>122 patients undergoing orchiopexy and 61 patients undergoing orchiectomy were included in this study. The final multivariate logistic regression analysis showed that duration of torsion (<i>p</i> &lt; 0.001, OR = 1.036), degree of twisting (<i>p</i> = 0.022, OR = 1.0029), age (<i>p</i> = 0.02, OR = 0.909), SII (<i>p</i> = 0.006, OR = 0.9989), SIRI (<i>p</i> = 0.006, OR = 1.282), and successful manual detorsion (<i>p</i> = 0.01, OR = 0.019) were independently associated with orchiectomy risk. The model incorporating SII and SIRI achieved slightly higher AUC and showed improved clinical net benefit on DCA.</p> Conclusions <p>Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) demonstrate potential predictive value for orchiectomy risk in patients with testicular torsion.</p>

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Predictive value of systemic immune-inflammation index and systemic inflammation response index for orchiectomy risk in patients with testicular torsion

  • Qingsong Meng,
  • Mingyang He,
  • Bowen Yan,
  • Tianchi He,
  • Zhipeng Wang,
  • Jianghua Jia,
  • Xin Wang,
  • Jinchun Qi,
  • Dongbin Wang,
  • Yaxuan Wang,
  • Changbao Qu,
  • Ming Zhang

摘要

Objective

To investigate the predictive value of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) for orchiectomy risk in patients with testicular torsion.

Methods

Patients diagnosed with testicular torsion (TT) and hospitalized for treatment between September 2014 and September 2022 were retrospectively included in this study. Demographic and clinical characteristics were collected and analyzed. Stepwise logistic regression analysis was applied to identify independent predictors of orchiectomy risk. The predictive performance of the model incorporating SII and SIRI was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).

Results

122 patients undergoing orchiopexy and 61 patients undergoing orchiectomy were included in this study. The final multivariate logistic regression analysis showed that duration of torsion (p < 0.001, OR = 1.036), degree of twisting (p = 0.022, OR = 1.0029), age (p = 0.02, OR = 0.909), SII (p = 0.006, OR = 0.9989), SIRI (p = 0.006, OR = 1.282), and successful manual detorsion (p = 0.01, OR = 0.019) were independently associated with orchiectomy risk. The model incorporating SII and SIRI achieved slightly higher AUC and showed improved clinical net benefit on DCA.

Conclusions

Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) demonstrate potential predictive value for orchiectomy risk in patients with testicular torsion.