Long-term outcomes of sleeve gastrectomy in a patient group with mainly high BMI: a single-center study.

Since long-term results after laparoscopic sleeve gastrectomy (LSG) are rather scarce, this study aims to add LSG results with a minimum of 5 years of follow-up. Prospectively collected data from primary LSG in a tertiary bariatric center from 08/2007 to 12/2018 with follow-up ≥ 5 years were analyzed retrospectively. Primary endpoints included total body weight loss (%TBWL) and excess weight loss (%EWL), insufficient weight loss (IWL), weight regain (WR), remission of associated diseases, development of new-onset gastroesophageal reflux disease (GERD), and nutritional deficiencies.

The effect of automated insulin delivery system use on diabetes distress in people with type 1 diabetes and their caregivers: A systematic review and meta-analysis.

Aims: Diabetes distress (DD) is prevalent among people with diabetes. While automated insulin delivery systems (AIDs) improve glycaemic control, their impact on DD is unclear. We aimed to investigate the effect of AIDs on DD in people with diabetes and their caregivers.

Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach.

Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.

The assessment of impaired liver function and prognosis in hepatocellular carcinoma.

Introduction: The impairment of liver function strongly limits the therapeutic options for hepatocellular carcinoma (HCC), and the assessment of liver function is key to finding the appropriate therapy for patients suffering from this disease. Furthermore, preexisting liver dysfunction has a negative impact on the prognosis of patients in addition to the malignant potential of HCC. Hence, defining the optimal treatment of patients with HCC requires a comprehensive examination with liver function being a crucial part of it.