BACKGROUND: Growth differentiation factor-15 (GDF-15) is a stress-inducible cytokine and member of the transforming growth factor-β cytokine superfamily that refines prognostic assessment in subgroups of patients with heart failure (HF). We evaluated...
The American journal of the medical sciences
30638602
BACKGROUND: Peroxisome proliferator-activated receptor gamma coactivator-1α (PGC-1α) plays key roles in controlling cardiac metabolism and function. Myocardial energy expenditure (MEE) can reflect myocardial energy metabolism and cardiac function. Wh...
Biomedical and environmental sciences : BES
30636655
OBJECTIVE: The predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with stable coronary artery disease (SCAD) in the drug-eluting stent era is not yet clear. We aimed to evaluate the prognostic value of NT-proBNP in S...
BACKGROUND: This study was conducted to assess the effect of percutaneous coronary revascularization (PCR) on plasma NT-proBNP concentration in patients with chronic stable angina (CSA).
The circulating concentration of N-terminal pro-brain natriuretic peptide (NT-proBNP) has been shown to be a diagnostic tool for the detection of heart failure. Several factors influence NT-proBNP levels including age, sex, and body mass index (BMI)....
Journal of insurance medicine (New York, N.Y.)
29490161
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for individual life insurance applicants with and without heart disease.
BACKGROUND: Postoperative atrial fibrillation (POAF) is associated with increased morality rate, prolonged hospitalization, and reduced long-term survival after surgery. Thus, prediction of POAF is important to assess surgical risk and provide prophy...
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Burns : journal of the International Society for Burn Injuries
31230801
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to ...
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study objective was to assess the theoretical performance of artificial intelligence (AI)/machine learning (ML) algorithms to augment AKI recognition using ...