These cell lines are the first available primary epithelial and stromal cells derived from an African-American patient with organ-confined prostate cancer and in conjunction with other established cell lines, could provide an in vitro model system to investigate early transforming events in prostate cancer.

Background A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in the emergency department (ED). Therefore, we conducted the present study to clarify it. Methods In total, 85,254 ED patients with chest pain in three hospitals between 2009 and 2018 were identified. We randomized the patients into a 70%/30% split for ML model training and testing. We used 14 clinical variables from their electronic health records to construct a random forest model with the synthetic minority oversampling technique preprocessing algorithm to predict acute myocardial infarction (AMI) < 1 month and all-cause mortality < 1 month. Comparisons of the predictive accuracies among random forest, logistic regression, support-vector clustering (SVC), and K-nearest neighbor (KNN) models were also performed. Results Predicting MACE using the random forest model produced areas under the curves (AUC) of 0.915 for AMI < 1 month and 0.999 for all-cause mortality < 1 month. The random forest model had better predictive accuracy than logistic regression, SVC, and KNN. We further integrated the AI prediction model with the HIS to assist physicians with decision-making in real time. Validation of the AI prediction model by new patients showed AUCs of 0.907 for AMI < 1 month and 0.888 for all-cause mortality < 1 month. Conclusions An AI real-time prediction model is a promising method for assisting physicians in predicting MACE in ED patients with chest pain. Further studies to evaluate the impact on clinical practice are warranted.

Hyperglycemic crisis episodes (HCEs)-diabetic ketoacidosis and the hyperosmolar hyperglycemic state-are the most serious acute metabolic complications of diabetes. We aimed to investigate the subsequent mortality after HCE in the non-elderly diabetic which is still unclear. This retrospective national population-based cohort study reviewed, in Taiwan's National Health Insurance Research Database, data from 23,079 non-elder patients (≤65 years) with new-onset diabetes between 2000 and 2002: 7693 patients with HCE and 15,386 patients without HCE (1:2). Both groups were compared, and follow-up prognoses were done until 2011. One thousand eighty-five (14.1%) patients with HCE and 725 (4.71%) patients without HCE died (P < 0.0001) during follow-up. Incidence rate ratios (IRR) of mortality were 3.24 times higher in patients with HCE than in patients without HCE (P < 0.0001). Individual analysis of diabetic ketoacidosis and hyperosmolar hyperglycemic state also showed the similar result with combination of both. After stratification by age, mortality was significant higher in the middle age (40-64 years) [IRR 3.29; 95% confidence interval (CI) 2.98-3.64] and young adult (18-39 years) (IRR 3.91; 95% CI 3.28-4.66), but not in the pediatric subgroup (<18 years) (IRR 1.28; 95% CI 0.21-7.64). The mortality risk was highest in the first month (IRR 54.43; 95% CI 27.98-105.89), and still high after 8 years (IRR 2.05; 95% CI 1.55-2.71). After adjusting for age, gender, and selected comorbidities, the mortality hazard ratio for patients with HCE was still four times higher than for patients without HCE. Moreover, older age, male gender, stroke, cancer, chronic obstructive pulmonary disease, congestive heart failure, and liver disease were independent mortality predictors. HCE significantly increases the subsequent mortality risk in the non-elderly with diabetes. Strategies for prevention and control of comorbidities are needed as soon as possible.

Background Multiple rib fractures are common in trauma patients, who are prone to trauma-associated complications. Surgical or nonsurgical interventions for the aforementioned conditions remain controversial. Questions/purposes The purpose of our study was to perform a meta-analysis to evaluate the clinical prognosis of surgical fixation of multiple rib fractures in terms of (1) hospital-related endpoints (including duration of mechanical ventilation, ICU length of stay [LOS] and hospital LOS), (2) complications, (3) pulmonary function, and (4) pain scores. Methods We screened PubMed, Embase, and Cochrane databases for randomized and prospective studies published before January 2018. Individual effect sizes were standardized; the pooled effect size was calculated using a random-effects model. Primary outcomes were duration of Each author certifies that neither he or she, nor any member of his or her immediate family, have funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc) that might pose a conflict of interest in connection with the submitted article. Clinical Orthopaedics and Related Research® neither advocates nor endorses the use of any treatment, drug, or device. Readers are encouraged to always seek additional information, including FDA approval status, of any drug or device before clinical use. Each author certifies that his or her institution approved the reporting of this investigation and that all investigations were conducted in conformity with ethical principles of research.

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Hyperosmotic fluid resuscitation appears to be an attractive choice for severe burns in terms of TBSA or burn depth. Further investigation is recommended before conclusive recommendation.

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