Testicular catch-up growth in the non-operative management of the adolescent varicocele.

INTRODUCTION: Adolescent varicocele is a common urologic condition with a spectrum of outcomes, leading to variations in management. Testicular hypotrophy is a common indication for surgery Routine monitoring may be an appropriate form of management for many adolescents with testicular hypotrophy, as studies have shown that a large proportion of these patients may experience catch-up growth of the ipsilateral testis. Furthermore, there are few longitudinal studies which have correlated patient specific factors to catch-up growth. We aimed to determine the frequency of testicular catch up-growth in adolescents with varicocele while also examining if patient specific factors such as BMI, BMI percentile, or height correlated with testicular catch-up growth. METHODS: A retrospective chart review found adolescent patients who presented to our institution with varicocele from 1997 to 2019. Patients between the ages of 9 and 20 years with left-sided varicocele, a clinically significant testicular size discrepancy, and at least two scrotal ultrasounds at least one year apart were included in analysis. Testicular size discrepancy of greater than 15% on scrotal ultrasound was considered clinically significant. Testicular size was estimated in volume (mL) via the Lambert formula. Statistical relationships between testicular volume differential and height, body mass index (BMI), and age were described with Spearman correlation coefficients (ρ). RESULTS: 40 patients had a testicular volume differential of greater than 15% at some point during their clinical course and were managed non-operatively with observation and serial testicular ultrasounds. On follow-up ultrasound, 32/40 (80%) had a testicular volume differential of less than 15%, with a mean age of catch up growth at 15 years (SD 1.6, range 11-18 years). There were no significant correlations between baseline testicular volume differential and baseline BMI (ρ = 0.00, 95% CI [-0.32, 0.32]), baseline BMI percentile (ρ = 0.03, 95% CI [-0.30, 0.34]), or change in height over time (ρ = 0.05, 95% CI [-0.36, 0.44]). DISCUSSION: The majority of adolescents with varicocele and testicular hypotrophy exhibited catch-up growth with observation, suggesting that surveillance is an appropriate form of management in many adolescents. These findings are consistent with previous studies and further indicate the importance of observation for the adolescent varicocele. Further research is warranted to determine patient specific factors that correlate with testicular volume differential and catch up growth in the adolescent varicocele.

The Predictive Value of the HOSPITAL Score and LACE Index for an Adult Neurosurgical Population: A Prospective Analysis.

OBJECTIVE: The HOSPITAL score (HS) and LACE index (LI) are 2 validated methods for quantifying the risk of 30-day unplanned readmission after discharge. However, neither score has been validated in the neurosurgical population. This study evaluated the HS and LI in the neurosurgical population as effective predictors for 30-day unplanned readmission. METHODS: We performed a prospective, cohort analysis of all consecutive adult patients admitted to the neurosurgical service between October 1, 2018 and May 1, 2019. Patient medical records were used to calculate HS and LI. HS defined groups as low risk (0-4), intermediate (5-6), and high (7-12); LI defined risk as low (1-4), moderate (5-9), and high (10-19). Data analysis used univariate and multivariate logistic regressions. RESULTS: The 1242 patients included 626 women (50.4%). The average age was 57.9 years, and most patients (86.5%) underwent surgery during their admission. In multivariate logistic regression, intermediate-risk HS was not predictive of 30-day readmission (odds ratio [OR], 1.04; 95% confidence interval [CI], 0.57-1.88; P = 0.53), whereas high-risk HS did predict readmission (OR, 2.87; 95% CI, 1.49-5.54; P = 0.002). Likewise, moderate-risk LI was not predictive of 30-day unplanned readmission or mortality (OR, 1.59; 95% CI, 0.88-2.85; P = 0.12); however, high-risk LI did predict unplanned readmission or mortality (OR, 2.58; 95% CI, 1.16-5.73; P = 0.02). Both HS and LI showed poor to moderate discrimination (C = 0.62 and 0.60, respectively). CONCLUSIONS: A high-risk HS and high-risk LI were predictive of 30-day unplanned readmission. Although neither score is ideal for predicting moderate risk for 30-day unplanned readmission in neurosurgical patients, both have some predictiveness that may be clinically valuable.