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To describe a stepwise demonstration of a vaginal approach for nerve-sparing reduction clitoroplasty.
Video of a case report.
Tertiary, academic hospital (Women's Hospital, University of Campinas).
An 18-year-old nulliparous woman consulted with complaints of primary amenorrhea, small development of breasts, and an increase of the clitoris in the last months. A physical examination revealed a 5-cm clitoromegaly, normal but small breasts, and normal vulvar pili. Laboratory examinations showed XY karyotype and increased levels of dehydroepiandrosterone sulfate and follicle stimulating hormone. Surgical planning for reduction clitoroplasty, laparoscopic bilateral gonadectomy, plus removal of the rudimentary uterus was done and performed. The main steps were as follows The patient was discharged 20 hours after the procedure. The immediate and late postoperative periods occurred with no complications (wound dehiscence, hematoma), and clitoral sensitivity was restored according to the patient's self-report.
This case shows the importance of nerve-sparing reduction clitoroplasty for reducing the risk of sensitivity loss and/or other complications.
This case shows the importance of nerve-sparing reduction clitoroplasty for reducing the risk of sensitivity loss and/or other complications.
This study investigates the relationship between neurovascular comorbidities and in-hospital complications in determining functional outcome, mortality, length of stay (LOS), and cost of stay.
Patients were identified from the 2012-2015 National Inpatient Sample (NIS) using International Classification of Diseases, Ninth Revision codes for unruptured intracranial aneurysm (UIA) treatment in patients without subarachnoid hemorrhage. In-hospital complications were divided into medical complications, surgical complications, and seizures. Primary outcomes were functional outcome measured by modified Rankin Scale (mRS)-equivalent measure, in-hospital mortality, LOS, and cost. Multivariable logistic regression models were built for mRS-equivalent and in-hospital mortality. Multivariable linear regression models in log scale were built for LOS and cost.
A total of 7398 procedurally managed patients with UIA were included (median age, 58 years; 75% female; 66% white; 43% private insurance). Higher Neurovascularllocation and increase the value of care for patients with UIA.
Neurovascular comorbidities are the primary driver of poor mRS-equivalent outcome, in-hospital mortality, higher LOS, and higher cost after procedural treatment of UIA. The conditional event of complication influences patients with fewer comorbidities more so than those with no comorbidities or high comorbidities. It is imperative to precisely account for these factors to optimize targeted resource allocation and increase the value of care for patients with UIA.The prevalence and clinical relevance of viremia in patients with coronavirus disease 2019 (COVID-19) have not been well studied. A prospective cohort study was designed to investigate blood viral load and clearance kinetics in 52 patients (median age, 62 years; 31 [59.6%] male) and explore their association with clinical features and outcomes based on a novel one-step RT droplet digital PCR (RT-ddPCR). By using one-step RT-ddPCR, 92.3% (48 of 52) of this cohort was quantitatively detected with viremia. The concordance between the blood and oropharyngeal swab tests was 60.92% (53 of 87). One-step RT-ddPCR was tested with a 3.03% false-positive rate and lower 50% confidence interval of detection at 54.026 copies/mL plasma. There was no reduction in the blood viral load in all critical patients, whereas the general and severe patients exhibited a similar ability to clear the viral load. The viral loads in critical patients were significantly higher than those in their general and severe counterparts. Among the 52 study patients, 30 (58%) were discharged from the hospital. Among half of the 30 discharged patients, blood viral load remained positive, of which 76.9% (10 of 13) completely cleared their blood viral load at follow-up. Meanwhile, none of their close contacts had evidence of infection. Quantitative determination of the blood viral test is of great clinical significance in the management of patients with coronavirus disease 2019.Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a huge threat to public health. Viral nucleic acid testing is the diagnostic gold standard and can play an important role in the prevention and control of this infection. In this study, bacteriophage MS2 virus-like particles encapsulating specific RNA sequences of SARS-CoV-2 and other coronaviruses were prepared by genetic engineering. The assessment panel, consisting of four positive samples with concentrations of 2.8, 3.5, 4.2, and 4.9 log10 copies/mL and five negative samples with other human coronaviruses, was prepared and distributed to evaluate the accuracy of routine viral RNA detection. Results of 931 panels from 844 laboratories were collected. The overall percentage agreement, positive percentage agreement (PPA), and negative percentage agreement, defined as the percentage of agreement between the correct results and total results submitted for all, positive, and negative samples were 96.8% (8109/8379), 93.9% (3497/3724), and 99.1% (4612/4655), respectively. For samples with concentrations of 4.9 and 4.2 log10 copies/mL, the PPAs were >95%. However, for 3.5 and 2.8 log10 copies/mL, the PPAs were 94.6% (881/931) and 84.9% (790/931), respectively. For all negative samples, the negative percentage agreement values were >95%. Thus, most laboratories can reliably detect SARS-CoV-2. However, further improvement and optimization are required to ensure the accuracy of detection in panel members with lower concentrations of viral RNA.Bladder cancer is the most common urinary system neoplasm, with approximately 550,000 new cases per year worldwide. Current methods for diagnosis and monitoring of bladder cancer are often invasive and/or lack sensitivity and specificity. In this study, the authors aimed to develop an accurate, noninvasive urine-based gene expression assay for the detection of bladder cancer. buy TEN-010 Urine specimens were collected at five Chinese hospitals from patients with bladder cancer, and from healthy and other control subjects. The expression levels of 70 genes were characterized by quantitative RT-PCR in a training cohort of 211 samples. Machine learning approaches were used to identify a 32-gene signature to classify cancer status. The performance of this gene signature was further validated in a multicenter, prospective cohort of 317 samples. In the blind validation set, the 32-gene signature achieved encouraging performance of 90% accuracy, 83% sensitivity, and 95% specificity. The area under the receiver operating characteristic curve reached 0.
