Publications by authors named "A Mickevicius"
Article Synopsis
- CoRSIVs are regions in the genome with consistent DNA methylation patterns across tissues but show individual differences and are influenced by nearby genetic variants.
- This study focused on investigating SNPs within CoRSIVs and their potential link to pancreatic ductal adenocarcinoma (PDAC) risk, analyzing data from over 14,000 patients and 247,000 controls.
- The research identified that the A allele of SNP rs2976395 is linked to a higher risk of PDAC in Europeans and is associated with changes in DNA methylation and overexpression of the prostate stem cell antigen gene, highlighting the need for further functional studies.
Pleiotropic variants (i.e., genetic polymorphisms influencing more than one phenotype) are often associated with cancer risk.
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- There is a lack of discharge protocols for acute pancreatitis (AP) patients, which the Hungarian Pancreatic Study Group (HPSG) aims to address with a new, validated protocol based on laboratory data and symptoms.
- An international survey revealed that 87.5% of participating medical centers do not have discharge protocols, but those that do see shorter hospital stays and lower readmission rates.
- The HPSG discharge protocol resulted in the lowest average length of hospital stay and demonstrated safety through a low readmission rate, highlighting the need for developing and validating more standardized discharge protocols for AP care.
Article Synopsis
- Non-alcoholic fatty liver disease (NAFLD) has been redefined as metabolic-associated fatty liver disease (MAFLD), which is linked to an increased risk of acute pancreatitis (AP).
- In a study involving over 2,000 patients, 39% had MAFLD, which raised the odds of developing moderate-to-severe AP, although it didn't significantly impact in-hospital mortality.
- The severity of AP was influenced by the specific metabolic risk factors present, with a dose-dependent relationship observed—more criteria correlated with increased severity and outcomes for the disease.
Article Synopsis
- Acute pancreatitis (AP) is a serious inflammation of the pancreas, and identifying patients at high risk of severe complications early is essential to prevent organ failure and death.
- The study developed a machine learning prediction model called EASY, using data from over 4,700 patients to offer quick assessments of severity through algorithms like XGBoost, achieving an average accuracy of 89.1%.
- The model identifies key risk factors such as respiratory rate, body temperature, and glucose level, and includes a user-friendly web application for easy access to its predictions.