Predictive role of hematologic parameters in testicular torsion

PURPOSE: To evaluate the predictive role of the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV), and platelet count (PLT) in the diagnosis of testicular torsion (TT) and testicular viability following TT. MATERIALS AND METHODS: We analyzed two study groups in this retrospective study: 75 patients with a diagnosis of TT (group 1) and 56 age-matched healthy subjects (group 2). We performed a complete blood count as a part of the diagnostic procedure, and NLR, PLR, MPV, and PLT values were recorded. We compared the patient and control groups in terms of these parameters. Then, TT patients were divided into two subgroups according to the time elapsed since the onset of symptoms. Subsequently, we evaluated the relationship between the duration of symptoms and these parameters. RESULTS: There were significant differences between groups 1 and 2 in NLR, PLR, and PLT (p<0.001 for all). There was no predictive role of MPV in the diagnosis of TT (p=0.328). We determined significantly high sensitivity and specificity levels for NLR in the prediction of TT diagnosis (84% and 92%, respectively). Furthermore, NLR was significantly related to the duration of symptoms in TT patients (p=0.01). CONCLUSIONS: NLR may be a useful parameter in the diagnosis of TT. Furthermore, NLR may be used as a predictive factor for testicular viability following TT.

Do Hypertension, diabetes mellitus and obesity increase the risk of severity of nephrolithiasis?

Objective: In this study we planned to investigate the relationship between presence of kidney stones and stone burden with hypertension [HT], diabetes mellitus [DM] and body mass index [BMI]. Methods: A total of 574 patients were included in the study. None of the patients had a history of stones. The 121 patients with kidney stone identified on ultrasound evaluation and the 453 patients with no stones were compared in terms of HT, BMI and DM. The stone burden of 121 patients with diagnosed stones was compared in terms of the same variables. Results: Of the 121 patients with kidney stones 30 [24.7%] had HT, while 66 [14.5%] of the 453 patients without stones had HT [p=0.007]. BMI values of those with and without stones were 27.2 +/- 4.93 kg/m2 and 25.29 +/- 4.12 kg/m2, respectively [p<0.001]. Twenty-five [20.6%] of the patients with stones diagnosed by ultrasound had DM, while 49 [10.8%] of those without stones had DM [p=0.004]. When comparing patients with and without kidney stones, logistic regression analysis revealed that DM [odds ratio [OR] 2.06, 95% confidence interval [CI] 1.17 to 3.63, p=0.013] and BMI [OR 1.08, CI 1.03 to 1.13, p=0.003] were independently associated with presence of stones. No significant relationship was found between the same variables and cumulative stone diameter [CSD] and stone surface area [SA] evaluated for stone burden. Conclusions: While diabetes mellitus, Hypertension and increased Body Mass Index may add to the possibility of stone formation, they did not affect stone burden