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Objective: To assess and analyze the contemporary causes of in-hospital deaths of spina bifida patients., Methods: It was a cross-sectional observational study of the longitudinal national cohort of all patients hospitalized in French public and private hospitals. We analyzed the data from the French hospital discharge database (Programme de Médicalisation des Systemes d'Information, PMSI) from 2009 to 2014. The number of in-hospital deaths was extracted using the combination of the ICD-10 codes "Q05" or "Q760" and a discharge code = 9., Results: There were 138 in-hospital deaths of spina bifida patients over the 6-year study period. The median age at death was 41 years (IQR: 25-52). The median age at death was significantly lower in patients with vs without hydrocephalus (26.6 vs 45.5 years; P <.0001). The leading cause of in-hospital death was urologic disorders (n = 24; 17.3%). Other main causes of death were pulmonary disorders (n = 23; 16.7%), neurologic disorders (n = 19; 13.8%), and bowel disorders (n = 15; 10.9%). Upper urinary tract damage accounted for most of the urologic causes of death: 8 patients died from urinary tract infections (33.3%), 7 patients died from renal failure (29.2%), 4 died from bladder cancer (16.7%), and 5 from other urologic causes. The only variable significantly associated with a death from urologic causes was the absence of hydrocephalus (OR = 0.26; P = .009)., Conclusion: Urologic disorders remain the leading cause of in-hospital death in spina bifida patients in France. The present study highlights that efforts to improve the urologic management of the spina bifida population are still greatly needed., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objective: To investigate computed tomography (CT) texture analysis of the bladder wall as a predictor of urodynamics findings in adult patient with spina bifida., Methods: A single-center prospective trial was conducted from March 2015 to March 2017 including all consecutive adult spina bifida patients seen for urodynamic testing. A contrast-enhanced abdominal CT was systematically performed in all patients during the same visit. Texture features of the bladder wall related to the gray-level histogram and gray-level co-occurrence were evaluated on CT images. Multivariate analysis was performed to identify independent predictors of poor bladder compliance and detrusor overactivity among clinical and texture parameters., Results: Fourty patients were included. The Lasso penalized logistic regression analysis identified 2 texture parameters as potential predictors of poor bladder compliance: Skewness (coefficient weight, -1.81) and S.1.1.SumVarnc (coefficient weight, -3.52). Multivariate logistic regression analysis confirmed skewness (odds ratio [confidence interval 95%] = 0.40 [0.14, 0.97], P = .04) as an independent predictor of poor bladder compliance. The Lasso penalized logistic regression analysis identified one texture parameters as potential predictor of detrusor overactivity: Kurtosis (coefficient weight, -3.52), which was confirmed in multivariate logistic regression analysis (odds ratio [confidence interval 95%] = 1.12 [1.01, 1.55], P = .02)., Conclusion: Our findings demonstrate that CT texture analysis of the bladder wall might be an interesting tool to identify spina bifida patients with high risk urodynamic features., (Copyright © 2019 Elsevier Inc. All rights reserved.)