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This review and meta-analysis show that IL1A and IL1B genetic variations are significant contributors to CP in whites.

Hospital and surgeon volume have a significant impact on in-hospital mortality and LOS after radical cystectomy. Radical cystectomy performed at a higher volume center may result in lower charges and shorter hospital stay while decreasing the likelihood of in-hospital mortality.

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ADM produces similar outcomes to sCTG in terms of mucosal augmentation at the time of implant placement.

Fetal intestinal volvulus is a rare life‐threatening condition usually manifesting after birth with most cases being associated with intestinal malrotation. It appears on prenatal sonography (US) as a twisting of the bowel loops around the mesenteric artery, leading to mechanical obstruction and ischemic necrosis of the bowel. We report a case of intrauterine intestinal volvulus with ileal atresia, suspected when US revealed a typical “whirlpool” sign at 37 weeks' gestation, with a segment of markedly distended bowel loops and small amount of fetal ascites. © 2012 Wiley Periodicals, Inc. J Clin Ultrasound 2013

Obstructive sleep apnea (OSA) occurs frequently in people with Down syndrome (DS) with reported prevalences ranging between 55% and 97%, compared to 1-4% in the neurotypical pediatric population. Sleep studies are often uncomfortable, costly, and poorly tolerated by individuals with DS. The objective of this study was to construct a tool to identify individuals with DS unlikely to have moderate or severe sleep OSA and in whom sleep studies might offer little benefit. An observational, prospective cohort study was performed in an outpatient clinic and overnight sleep study center with 130 DS patients, ages 3-24 years. Exclusion criteria included previous adenoid and/or tonsil removal, a sleep study within the past 6 months, or being treated for apnea with continuous positive airway pressure. This study involved a physical examination/medical history, lateral cephalogram, 3D photograph, validated sleep questionnaires, an overnight polysomnogram, and urine samples. The main outcome measure was the apnea-hypopnea index. Using a Logic Learning Machine, the best model had a cross-validated negative predictive value of 73% for mild obstructive sleep apnea and 90% for moderate or severe obstructive sleep apnea; positive predictive values were 55% and 25%, respectively. The model included variables from survey questions, medication history, anthropometric measurements, vital signs, patient's age, and physical examination findings. With simple procedures that can be collected at minimal cost, the proposed model could predict which patients with DS were unlikely to have moderate to severe obstructive sleep apnea and thus may not need a diagnostic sleep study.