Background Patients with obsessive-compulsive disorder (OCD) are at increased risk for suicide attempt (SA) compared to the general population. However, the significant risk factors for SA in this population remains unclear – whether these factors are associated with the disorder itself or related to extrinsic factors, such as comorbidities and sociodemographic variables. This study aimed to identify predictors of SA in OCD patients using a machine learning algorithm. Methods A total of 959 outpatients with OCD were included. An elastic net model was performed to recognize the predictors of SA among OCD patients, using clinical and sociodemographic variables. Results The prevalence of SA in our sample was 10.8%. Relevant predictors of SA founded by the elastic net algorithm were the following: previous suicide planning, previous suicide thoughts, lifetime depressive episode, and intermittent explosive disorder. Our elastic net model had a good performance and found an area under the curve of 0.95. Conclusions This is the first study to evaluate risk factors for SA among OCD patients using machine learning algorithms. Our results demonstrate an accurate risk algorithm can be created using clinical and sociodemographic variables. All aspects of suicidal phenomena need to be carefully investigated by clinicians in every evaluation of OCD patients. Particular attention should be given to comorbidity with depressive symptoms.

Although there is no indication for surgery taking only into account the glycemic condition, results have shown that benefits can be obtained in glycemic control with bariatric surgery.Aim: To compare the glycemic behavior among type 2 diabetic and non-diabetic patients within 48 h after bariatric surgery, and clarify whether there is a reduction in blood glucose level in obese patients with diabetes before the loss of weight excess. Methods: Descriptive epidemiological study with prospective cohort design with 31 obese patients undergoing Roux-en-Y gastric bypass and sleeve gastrectomy. The patients were controlled with hemoglucotests in different periods of time: preoperative, postoperative and each 6 h after surgery for 48 h. Results: Average ambulatory blood glucose in diabetics was 120.7±2.9 mg/dl vs 91.8±13.9 mg/dl in the nondiabetic. After 48 h there was decrease in diabetics to 100.0±17.0 mg/dl (p=0.003), while the non-diabetic group did not change significantly (102.7±25.4 mg/dl; p=0.097). There were no differences between the surgical techniques. There were no death. Conclusions: Diabetic patients significantly reduced blood glucose after surgery regardless of the use of exogenous insulin or oral hypoglycemic agents.