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2.
Int Braz J Urol ; 46(6): 972-981, 2020.
Article En | MEDLINE | ID: mdl-32758303

PURPOSE: To estimate statewide presentation delay, misdiagnosis rate, inter-hospital transfer times and testicular salvage for testicular torsion patients treated in our state's public health system. PATIENTS AND METHODS: Case series of consecutive testicular torsion patients treated in our state's public health system between 2012-2018. Predictors included presentation delay (time from symptoms to first medical assessment), facilitie's level-of-care (primary, secondary, tertiary), first diagnosis (torsion, epididymitis, other), Doppler-enhanced ultrasound request (Doppler-US) and inter-hospital transfer times, with surgical organ salvage as the main response. We used Bayesian regression to estimate the effect of first examining facilitie's level-of-care, first diagnosis, and Doppler-US on transfer time. RESULTS: 505 patients were included, most (298, 59%) with presentation delay >6 hours. Misdiagnosis at first examining facility raised transfer time from median 2.8 to 23.4 (epididymitis) and 37.9 hours (other) and lowered testicular salvage rates from 60.3% (torsion) to 10.7% (epididymitis) and 18.3% (other). Doppler-US had negligible effects on transfer time once controlling for misdiagnosis in the regression model. Although organ salvage in patients presenting before 6 hours at the tertiary facility was high (94.6%, and about 20% lower for those presenting at lower levels-of-care), the overall salvage rate was more modest (46%). CONCLUSION: Our low overall testicular salvage rates originated from a large proportion of late presentations combined with long transfer times caused by frequent misdiagnoses. Our results indicate that efforts to improve salvage rates should aim at enhancing population-wide disease awareness and continuously updating physicians working at primary and secondary levels-of-care about scrotal emergencies.


Spermatic Cord Torsion , Bayes Theorem , Brazil , Diagnostic Errors , Hospitals , Humans , Male , Retrospective Studies , Spermatic Cord Torsion/diagnostic imaging , Spermatic Cord Torsion/surgery , Treatment Outcome
4.
Int Braz J Urol ; 45(3): 588-604, 2019.
Article En | MEDLINE | ID: mdl-30912888

PURPOSE: To analyze pre-transplantation and early postoperative factors affecting post-transplantation urine output and develop a predictive nomogram. PATIENTS AND METHODS: Retrospective analysis of non-preemptive first transplanted adult patients between 2001-2016. The outcomes were hourly diuresis in mL/Kg in the 1st (UO1) and 8th (UO8) postoperative days (POD). Predictors for both UO1 and UO8 were cold ischemia time (CIT), patient and donor age and sex, HLA I and II compatibility, pre-transplantation duration of renal replacement therapy (RRT), cause of ESRD (ESRD) and immunosuppressive regimen. UO8 predictors also included UO1, 1st/0th POD plasma creatinine concentration ratio (Cr1/0), and occurrence of acute cellular rejection (AR). Multivariable linear regression was employed to produce nomograms for UO1 and UO8. RESULTS: Four hundred and seventy-three patients were included, mostly deceased donor kidneys' recipients (361, 70.4%). CIT inversely correlated with UO1 and UO8 (Spearman's p=-0.43 and -0.37). CR1/0 inversely correlated with UO8 (p=-0.47). On multivariable analysis UO1 was mainly influenced by CIT, with additional influences of donor age and sex, HLA II matching and ESRD. UO1 was the strongest predictor of UO8, with significant influences of AR and ESRD. CONCLUSIONS: The predominant influence of CIT on UO1 rapidly wanes and is replaced by indicators of functional recovery (mainly UO1) and allograft's immunologic acceptance (AR absence). Mean absolute errors for nomograms were 0.08 mL/Kg h (UO1) and 0.05 mL/Kg h (UO8).


Diuresis/physiology , Kidney Transplantation/methods , Nomograms , Adult , Cold Ischemia , Creatinine/blood , Delayed Graft Function/physiopathology , Female , Humans , Kidney Transplantation/rehabilitation , Linear Models , Male , Middle Aged , Postoperative Period , Predictive Value of Tests , Reference Values , Reproducibility of Results , Retrospective Studies , Statistics, Nonparametric , Time Factors
5.
Int Braz J Urol ; 42(6): 1210-1219, 2016.
Article En | MEDLINE | ID: mdl-27619663

PURPOSE: To investigate the roles of age, testicular rotation and time in the surgical outcome of intravaginal testicular torsion (iTT). PATIENTS AND METHODS: We retrieved the records of all iTT patients treated in our unit from January 2012 to January 2014. Explanatory variables were: age (years); presentation delay (PrD, time between symptoms and hospitalization); surgical delay (SurgD, time between hospitalization and surgery) and testicular rotation (rotation), with surgical outcome (orchidopexy, orchidectomy) as response variable. Differences in PrD, SurgD, age and rotation by surgical outcome were evaluated non-parametrically. Stepdown logistic regression included age, PrD, SurgD and rotation as predictors. Statistical significance and confidence intervals (CI) were set at p<0.05 and 0.95. Odds ratios (OR) were computed from the model's coefficients. RESULTS: Complete variable information was available for 117 patients, and most (61, 52.1%) underwent orchidectomy. Ages were similar between orchidectomy and orchidopexy patients (median 15.8 vs. 16.0 years, p=0.78). In contrast, PrD (85.0 vs. 8.4 hours, p<0.001), SurgD (3.0 vs. 16.0 hours, p<0.001) were different between orchidectomy and orchidopexy patients. SurgD was similar with PrD<24 hours (4.0 vs. 2.8, p=0.1). Orchidectomy patients had greater rotation (3.0π vs. 2.0π radians, p<0.001). Logistic regression revealed that PrD (OR 0.94; 0.92-0.97; p<0.001) and rotation (OR 0.43; 0.27-0.70; p<0.001) were inversely associated with orchidopexy. CONCLUSION: Testicular rotation exerts a multiplicative effect on PrD, so time should not be regarded as the sole predictor of surgical outcome in iTT.


Orchiectomy/methods , Spermatic Cord Torsion/surgery , Testis/surgery , Adolescent , Child , Humans , Male , Prognosis , Statistics, Nonparametric , Testis/blood supply , Time Factors , Treatment Outcome
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