Predictive, preventive, and personalized medicine in statin-treated patients with NSTE-ACS, HFpEF, and type 2 diabetes: a data-driven model for long-term residual risk assessment
Aug 2026· The EPMA Journal· Vol 17, pp. 479 - 500· 0 citations· 82 references
Medicine
TL;DR
This 3PM/PPPM-guided framework enables early identification of high-risk phenotypes among NSTE-ACS patients with HFpEF and type 2 diabetes before irreversible clinical deterioration occurs.
Readily available admission variables were associated with in-hospital HF in T2DM-STEMI patients undergoing emergency PCI and the internally validated model showed good discrimination and calibration; however, external validation in an independent population is required before clinical implementation.
Mailidan Maimaitiniyazi, Muyesaier Maimaitiniyazi, Meiheliya Maisuti et al.· Frontiers in Endocrinology· 0 citations
Type 2 diabetes mellitus (T2DM) combined with cardiovascular disease (CVD) is a leading cause of in-hospital mortality among older patients (≥ 65 years). However, there is currently a lack of predictive models specifically designed to estimate in-hospital mortality in this high-risk population. It is crucial to pro...
Jun-Tao Tan, Tai-Lin Dong, Yu-Xin He et al.· Frontiers in Medicine· 0 citations
ML-based models enabled accurate prediction of IHM in patients with NSTE-ACS at different stages of the diagnostic process and may improve risk stratification and clinical decision-making in real-world practice.
V. V. Ryabov, A. Nesova, A. Vishnevskiy et al.· JMIR Medical Informatics· 0 citations
BACKGROUND
The real-world impact of in-hospital intensification of guideline-directed medical therapy (GDMT) on clinical outcomes in patients with heart failure (HF) remains uncertain. We evaluated the association between in-hospital GDMT intensification and long-term outcomes using data from the multicenter QHEART-R c...
T. Hashimoto, R. Matsukawa, S. Matsushima et al.· Circulation Journal· 0 citations
Clinicians can utilize this model to optimize clinical decision-making based on individualized patient characteristics, enabling personalized risk stratification for therapeutic interventions and prognostic evaluations.
Rui Yang, Qiqi Song, Hao-Han Ma et al.· Global Heart· 0 citations
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