Citations

Background: The mean length of stay (LOS) after minimally invasive radical prostatectomy (MI-RP) is <2 days. Our main objective was to utilize the National Surgical Quality Improvement Program (NSQIP) database to evaluate preoperative factors that may contribute to prolonged hospital stay and readmission. Materials and Methods: Utilizing the NSQIP database, records for surgery with the Current Procedural Terminology code 55866 (prostatectomy) between 2007 and 2017 were evaluated. Chi-square and t -tests were used to assess the effects of preoperative factors on prolonged LOS and rates of hospital readmission within 30 days. Odds ratios (ORs), p -values, and confidence intervals were determined using multivariable logistic regression. Results: A total of 40,764 patients underwent MI-RP between 2007 and 2017. Of these, 11.7% reported an LOS of >2 days, whereas 3.9% of patients were readmitted to the hospital within 30 days. Preoperative congestive heart failure within 30 days of surgery was shown to be strongly associated with both prolonged LOS (OR = 6.16) and readmission (OR = 3.28). Bleeding requiring transfusion was demonstrated to be the most significant postoperative factor for prolonged LOS (OR = 23.9), whereas unplanned intubation was shown to be the most significant postoperative factor for readmission (OR = 57.1). Body mass index (BMI) >30 was associated with both prolonged LOS and increase in readmission. Conclusions: Upon NSQIP database analysis, cardiopulmonary factors and BMI were demonstrated to have negative impacts on postoperative quality indicators. Patients with comorbidities should be counseled preoperatively concerning their individual risk factors. Mitigation of these factors is important in ensuring optimal outcomes.

Abstract Objective To present the pathologic analysis of female urethral strictures obtained during reconstructive urethroplasty. Methods Nine separate female urethral tissue specimens were obtained during dorsal vaginal graft urethroplasty by a single surgeon (S.P.P.). Samples were serially sectioned and fixed in 10% formalin 6 to 12 hours before routine processing in paraffin blocks. Serial 5-µm sections were subjected to H&E, Masson trichrome, and elastin staining. End point analysis included evaluation for epithelial hyperplasia and cell type, mucosal edema, degree of fibroblast/inflammatory cell infiltrate, and elastin fiber density and distribution. Results Nine specimens were examined. Six specimens had epithelial linings of stratified squamous epithelium overlying fibrosis (67%), 1 had mixed squamous and urothelial epithelium, and 2 had only urothelial epithelium. Two specimens (29%) showed acute injury with prominent squamous papillary hyperplasia, focal erosion, and patchy mucosal hemorrhage. Areas of urethral stricture were variably thickened, with increased, densely packed collagen fibers and associated mucosal lymphocytic inflammation ranging from mild and patchy to focally dense with lymphoid aggregates. The highest elastin fiber density appeared to be associated with vessels and overlying muscle bundles in the submucosa. Conclusions Further elucidation of histopathologic characteristics may illuminate more appropriate therapeutic pathways for female urethral stricture disease management.

Abstract Background Non-invasive differentiation between schwannomas and neurofibromas is important for appropriate management, preoperative counseling, and surgical planning, but has proven difficult using conventional imaging. The objective of this study was to develop and evaluate machine learning approaches for differentiating peripheral schwannomas from neurofibromas. Methods We assembled a cohort of schwannomas and neurofibromas from 3 independent institutions and extracted high-dimensional radiomic features from gadolinium-enhanced, T1-weighted MRI using the PyRadiomics package on Quantitative Imaging Feature Pipeline. Age, sex, neurogenetic syndrome, spontaneous pain, and motor deficit were recorded. We evaluated the performance of 6 radiomics-based classifier models with and without clinical features and compared model performance against human expert evaluators. Results One hundred and seven schwannomas and 59 neurofibromas were included. The primary models included both clinical and imaging data. The accuracy of the human evaluators (0.765) did not significantly exceed the no-information rate (NIR), whereas the Support Vector Machine (0.929), Logistic Regression (0.929), and Random Forest (0.905) classifiers exceeded the NIR. Using the method of DeLong, the AUCs for the Logistic Regression (AUC = 0.923) and K Nearest Neighbor (AUC = 0.923) classifiers were significantly greater than the human evaluators (AUC = 0.766; p = 0.041). Conclusions The radiomics-based classifiers developed here proved to be more accurate and had a higher AUC on the ROC curve than expert human evaluators. This demonstrates that radiomics using routine MRI sequences and clinical features can aid in differentiation of peripheral schwannomas and neurofibromas.

Cytoplasmic lipid droplets are highly dynamic storage organelles that are critical for cellular lipid homeostasis. While the molecular details of lipid droplet dynamics are a very active area of investigation, this work has been primarily performed in cultured cells. Taking advantage of the powerful transgenic and in vivo imaging opportunities available in zebrafish, we built a suite of tools to study lipid droplets in real time from the subcellular to the whole organism level. Fluorescently tagging the lipid droplet-associated proteins, perilipin 2 and perilipin 3, in the endogenous loci permits visualization of lipid droplets in the intestine, liver, and adipose tissue. Using these tools, we found that perilipin 3 is rapidly loaded on intestinal lipid droplets following a high-fat meal and later replaced by perilipin 2. These powerful new tools will facilitate studies on the role of lipid droplets in different tissues, under different genetic and physiological manipulations, and in a variety of human disease models.

Abstract Context Identification of modifiable risk factors, including genetic and acquired disorders of lipid and lipoprotein metabolism, is increasingly recognized as an opportunity to prevent premature cardiovascular disease (CVD) in at-risk youth. Pediatric endocrinologists are at the forefront of this emerging public health concern and can be instrumental in beginning early interventions to prevent premature CVD-related events during adulthood. Aim In this article, we use informative case presentations to provide practical approaches to the management of pediatric dyslipidemia. Cases We present 3 scenarios that are commonly encountered in clinical practice: isolated elevation of low-density lipoprotein cholesterol (LDL-C), combined dyslipidemia, and severe hypertriglyceridemia. Treatment with statin is indicated when the LDL-C is ≥190 mg/dL (4.9 mmol/L) in children ≥10 years of age. For LDL-C levels between 130 and 189 mg/dL (3.4-4.89 mmol/L) despite dietary and lifestyle changes, the presence of additional risk factors and comorbid conditions would favor statin therapy. In the case of combined dyslipidemia, the primary treatment target is LDL-C ≤130 mg/dL (3.4 mmol/L) and the secondary target non-high-density lipoprotein cholesterol &lt;145 mg/dL (3.7 mmol/L). If the triglyceride is ≥400 mg/dL (4.5 mmol/L), prescription omega-3 fatty acids and fibrates are considered. In the case of triglyceride &gt;1000 mg/dL (11.3 mmol/L), dietary fat restriction remains the cornerstone of therapy, even though the landscape of medications is changing. Conclusion Gene variants, acquired conditions, or both are responsible for dyslipidemia during childhood. Extreme elevations of triglycerides can lead to pancreatitis. Early identification and management of dyslipidemia and cardiovascular risk factors is extremely important.

SummaryPatients with asymptomatic/smouldering Waldenström macroglobulinaemia (SWM) have a variable risk of progression to active WM. Our study evaluated 143 patients with SWM consecutively seen between January 1996 and December 2013. With a median [95% confidence interval (CI)] follow‐up of 9·5 [8·1–11·5] years, the cumulative rate of progression was 11% at 1 year, 38% at 3 years and 55% at 5 years. On multivariate analysis, haemoglobin (Hb) ≤123 g/l [risk ratio (RR) 2·08; P = 0·009] and β2‐microglobulin (β2M) ≥2·7 µg/ml (RR 2·0; P = 0·01) were independent predictors of a shorter time‐to‐progression (TTP) to active WM. Patients with myeloid differentiation factor 88 wild type (MYD88WT) genotype (n = 11) demonstrated a trend toward shorter TTP [median (95% CI) 1·7 (0·7–8·7) vs. 4·7 (2·4–7·7) years for the MYD88L265P cohort, n = 42; P = 0·11]. The presence of C‐X‐C chemokine receptor type 4 (CXCR4) mutation (n = 29) did not impact the TTP (median: 3 years for CXCR4WT vs. 5·6 years for CXCR4MUT, P = 0·34). The overall survival (OS) for patients with SWM (median: 18·1 years) was comparable to an age‐, sex‐ and calendar year‐matched USA population (median: 20·3 years, P = 0·502). In conclusion, Hb and β2M at diagnosis represent independent predictors of progression to active WM. Comparable survival of SWM and a matched USA population argues against pre‐emptive intervention in this patient population.