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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.
Prognostic value of coronary plaque composition in symptomatic patients with obstructive coronary artery disease.
Eur Radiol
January 2025
Hôpital Privé Jacques Cartier, Institut Cardiovasculaire Paris Sud (ICPS), Ramsay-Santé, 91300, Massy, France.
Objectives: To determine whether plaque composition analysis defined by cardiac CT can provide incremental prognostic value above coronary artery disease (CAD) burden markers in symptomatic patients with obstructive CAD.
Materials And Methods: Between 2009 and 2019, a multicentric registry included all consecutive symptomatic patients with obstructive CAD (at least one ≥ 50% stenosis on CCTA) and was followed for major adverse cardiovascular (MACE) defined by cardiovascular death or nonfatal myocardial infarction. Each coronary segment was scored visually for both the degree of stenosis and composition of plaque, which were classified as non-calcified, mixed, or calcified.
Diffusion weighted imaging to predict longer term response in Crohn's disease patients commencing biological therapy: Results from the MOTILITY Trial.
Br J Radiol
January 2025
Department of Radiology, University College London Hospitals, London, NW1 2BU, UK.
Objectives: Predicting longer term response to biological therapy for small bowel Crohn's disease (SBCD) is an unmet clinical need. Diffusion-weighted MR imaging (DWI) may indicate disease activity, but its predictive ability, if any, is unknown. We investigated the prognostic value of DWI for one year response or remission (RoR) in SBCD patients commencing biologic therapy, including incremental value over C-reactive protein (CRP) and faecal calprotectin (FC).
View Article and Find Full Text PDFHepatic Biomarker Abnormalities in the Cardiac Intensive Care Unit: Proposed Criteria for Cardiohepatic Syndrome.
JACC Adv
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Background: Liver synthetic dysfunction predicts outcomes in cardiac intensive care unit (CICU) patients.
Objectives: The purpose of this study was to evaluate the associations between the severity and extent of admission liver function test (LFT) abnormalities and mortality in a mixed CICU population.
Methods: This historical cohort study included unique CICU patients from 2007 to 2018 with available data for admission LFT values.
Association between insulin resistance indices and outcomes in patients with heart failure with preserved ejection fraction.
Cardiovasc Diabetol
January 2025
Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, NanBai Xiang Avenue, Ouhai District, Wenzhou, 325000, China.
Background: Insulin resistance (IR) plays a pivotal role in the interplay between metabolic disorders and heart failure with preserved ejection fraction (HFpEF). Various non-insulin-based indices emerge as reliable surrogate markers for assessing IR, including the triglyceride-glucose (TyG) index, the TyG index with body mass index (TyG-BMI), atherogenic index of plasma (AIP), and the metabolic score for insulin resistance (METS-IR). However, the ability of different IR indices to predict outcome in HFpEF patients has not been extensively explored.
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