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Stress hyperglycemia ratio as an important predictive indicator for severe disturbance of consciousness and all-cause mortality in critically ill patients with cerebral infarction: a retrospective study using the MIMIC-IV database.
Eur J Med Res
January 2025
Department of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China.
Background: Stress hyperglycemia ratio (SHR) has been linked to prognosis of cerebrovascular diseases. Nevertheless, the association between SHR and severe disturbance of consciousness (DC) and mortality among patients with cerebral infarction remains explored. This study seeks to assess the predictive potential of SHR for severe DC and mortality among patients with cerebral infarction.
View Article and Find Full Text PDFEvaluating the Impacts of Procedural and Patient-Specific Factors on the Outcomes of Transcatheter Aortic Valve Implantation (TAVI).
Medicina (Kaunas)
January 2025
Department of Cardiology, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Lithuanian University of Health Sciences, 2 Eivenių Str., LT-50009 Kaunas, Lithuania.
: Transcatheter aortic valve implantation (TAVI) has emerged as a pivotal intervention for managing severe aortic stenosis in high-risk surgical patients. : This study aimed to evaluate the impacts of procedural factors and patient characteristics on TAVI outcomes, with a focus on survival rates, cardiac mortality, and associated complications. : A retrospective, single-center study involving 224 patients who underwent TAVI at the Lithuanian University of Health Sciences from September 2021 to April 2023 was conducted.
View Article and Find Full Text PDFDevelopment of a Polygenic Risk Score for Metabolic Dysfunction-Associated Steatotic Liver Disease Prediction in UK Biobank.
Genes (Basel)
December 2024
Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of liver-related morbidity and mortality. Although the invasive liver biopsy remains the golden standard for MASLD diagnosis, Magnetic Resonance Imaging-derived Proton Density Fat Fraction (MRI-PDFF) is an accurate, non-invasive method for the assessment of treatment response. This study aimed at developing a Polygenic Risk Score (PRS) to improve MRI-PDFF prediction using UK Biobank data to assess an individual's genetic liability to MASLD.
View Article and Find Full Text PDFHealth economics assessment of statin therapy initiation thresholds for atherosclerosis prevention in China: a cost-effectiveness analysis.
Int J Equity Health
January 2025
School of Public Health, Jilin University, Changchun, 130021, China.
Background: Recent updates to the Chinese guidelines for dyslipidemia management have reduced the 10-year risk threshold for starting statins in the primary prevention of atherosclerotic heart disease. This study aims to evaluate the potential negative effects of different statin initiation thresholds on diabetes risk in the Chinese population, while also analyzing their health economic implications.
Methods: I We developed a microsimulation model based on event probabilities to assess the cost-effectiveness of statin therapy.
Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR).
BMC Cancer
January 2025
Department of Gastroenterology, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical SciencesShanxi Province Carcinoma Hospital, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, 030013, People's Republic of China.
Objective: To assess the effectiveness of a machine learning framework and nomogram in predicting progression-free survival (PFS) post-radical gastrectomy in patients with dMMR.
Method: Machine learning models and nomograms to forecast PFS in patients undergoing radical gastrectomy for nonmetastatic gastric cancer with dMMR. Independent risk factors were identified using Cox regression analysis to develop the nomogram.
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