Patient transfer influences the prognosis of pediatric patients operated for testicular torsion: a single-center experience

A nomogram for predicting risk factors of testicular salvage after testicular torsion in children

OBJECTIVES

This study aimed to establish a nomogram for predicting the probability of testicular salvage after testicular torsion in children.

METHODS

We retrospectively collected data of children with testicular torsion who were treated at Shenzhen Children's Hospital between September 2005 and August 2022. Of the training cohort, 113 patients who underwent orchiectomy and five with testicular atrophy after orchiopexy were included in the failed testicular salvage group. Additionally, 37 patients who underwent orchiopexy without postoperative testicular atrophy were included in the successful testicular salvage group. The predictive factors affecting testicular salvage were determined using univariate and multivariate logistic regression analyses; a nomogram was constructed. The nomogram was verified using data from the validation group.

RESULTS

Using multivariate logistic regression analysis, the independent risk factors of testicular salvage after testicular torsion were symptom duration (p = 0.034), intratesticular blood flow (p = 0.003), spermatic cord torsion degree (p = 0.037), and monocyte count (odds ratio: 0.012, p = 0.036). A nomogram was established based on these four risk factors. In the training cohort, the area under the receiver operating characteristic curve was 0.969. The area under the receiver operating characteristic curve of the verification cohort was 0.965, indicating good discrimination ability of the nomogram. Increased symptom duration without intratesticular blood flow increased the monocyte count and spermatic cord torsion degree and decreased the success rate of testicular salvage.

CONCLUSION

This prediction model could obtain the corresponding probability of testicular salvage according to the clinical characteristics of different patients with testicular torsion, providing reference for clinicians and parents.

Do healthcare disparities play a role in pediatric testicular torsion? - Analysis of a single large pediatric center

INTRODUCTION

Healthcare disparities have been shown to impact outcomes of various acute pediatric conditions. We sought to examine the impact of race, ethnicity and insurance status on the presentation, management and outcome of testicular torsion.

MATERIALS AND METHODS

A retrospective review of a prospectively maintained testicular torsion database was performed. Patients ≤18 years of age evaluated in our pediatric institution's emergency room between April 2016-April 2020 with US diagnosed and OR confirmed testicular torsion were included. Basic demographics, timing of presentation, referral rate, time to OR and orchiectomy rate were extracted and compared. P < 0.05 was considered statistically significant.

RESULTS

A total of 206 patients were included. 114 (56.2%) were Black or African American (Black/AA), 43 were (21.2%) Hispanic/Latino, 22 (10.8%) were Caucasian, and 24 (11.8%) were designated as Other races. Ninety-eight (48.3%) patients had Medicaid, 90 (44.3%) had private insurance, and 15 (7.4%) patients were uninsured. Sixty-eight (33.0%) presented in a delayed fashion (>24 h). Compared to the Caucasian patients, Black/AA patients were 2.1 years (95% CI: 0.5, 3.8; P = 0.010) older at the time of presentation. When compared to those with Medicaid insurance, uninsured patients had 6.26 times (95% CI: 1.58, 41.88; P = 0.021) higher odds to be referred from an outside hospital for management. In those patients presenting acutely (<24 h, N = 138), there were no significant differences in the odds of orchiectomy for Black/AA or Hispanic/Latino patients when compared to Caucasian patients, however, the odds of orchiectomy in Other races (non-Caucasian, non-Black/AA, non-Hispanic/Latino) was significantly higher (OR: 10.38; 95% CI: 1.13, 246.96; P = 0.049). While the mean time in minutes from ED to OR was longer in those with Medicaid insurance (141 vs 125.4 private vs 115 uninsured, p = 0.042), this did not impact orchiectomy rate (39.8% vs 40.9% vs 46.7%, p = 0.88).

CONCLUSIONS

We found no differences in the orchiectomy rates by race with the exception of a higher rate in the diverse and heterogeneous Other race (non-Caucasian, non-Black/AA, non-Hispanic/Latino) group. Those uninsured had a higher referral rate highlighting the potential existence of disparities for those uninsured and the need for further investigation.