Deep Learning-Adjusted Monitoring of In-Hospital Mortality after Liver Transplantation.

: Surgeries represent a mainstay of medical care globally. Patterns of complications are frequently recognized late and place a considerable burden on health care systems. The aim was to develop and test the first deep learning-adjusted CUSUM program (DL-CUSUM) to predict and monitor in-hospital mortality in real time after liver transplantation.

Hyperlipasemia in the immediate postoperative period predicts postoperative pancreatic fistula after pancreatic resections.

Background: Postoperative pancreatic fistula is the most common severe complication after pancreatic surgery. It associated with increased morbidity and prolonged hospital stay. Identifying patients at low risk for postoperative pancreatic fistula is essential to enable timely removal of drains and facilitate early discharge.

Changes of long-term survival of resection and liver transplantation in hepatocellular carcinoma throughout the years: A meta-analysis.

Background: Hepatocellular Carcinoma (HCC) still is one of the most detrimental malignant diseases in the world. As two curative surgical therapies exist, the discussion whether to opt for liver resection (LR) or transplantation (LT) is ongoing, especially as novel techniques to improve outcome have emerged for both. The aim of the study was to investigate how the utilization and outcome of the respective modalities changed through time.

Baseline Interleukin-6 as a Preoperative Biomarker for Liver Fibrosis.

Introduction: Liver (hepatic) fibrosis (LF) is characterized by impaired function and regenerative capacity of the liver and can lead to significantly increased morbidity and mortality in the context of surgical liver resection (LR). For this reason, it is crucial to identify the extent of LF preoperatively. Interleukin-6 (IL-6) is known to play a key role in the pathogenesis of LF, but its exact value as a preoperative marker is unknown.