[Development of a prediction model for acute heart failure based on B-type natriuretic peptide and multiple clinical indicators in acute dyspnea patients with varying renal function levels].
Aug 2026· Zhonghua yi xue za zhi· Vol 106 31, pp.
3264-3272
· 0 citations
Medicine
TL;DR
The logistic regression model incorporating B-type natriuretic peptide and routinely available clinical indicators demonstrated good calibration and clinical utility of the logistic regression model, and BNP exhibited high diagnostic value for AHF regardless of renal function status.
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
Pulmonary hypertension (PH) frequently complicates heart failure with reduced ejection fraction (HFrEF) and worsens prognosis. Right heart catheterization (RHC) remains the diagnostic gold standard, but natriuretic peptides may help identify patients requiring invasive assessment. We retrospectively analyzed 563 HFrEF...
F. Sawczak, A. Kukfisz, A. Soloch et al.· International Journal of Mol...· 0 citations
Background Elderly heart failure (HF) patients have an increased risk of acute kidney injury (AKI) during hospitalization. Identifying risk factors and developing a prediction model are clinically important. Study Method We retrospectively enrolled 7076 elderly HF patients hospitalized from January 2019 to December 202...
Ming-Yu Liu, Dong-Xia Qiu, Shuang Qiu et al.· Clinical Interventions in Ag...· 0 citations
LAR, cold and clammy skin, aspartate aminotransferase, C-reactive protein, and left ventricular ejection fraction emerged as independent predictors of in-hospital mortality in AMI-CS patients and the proposed nomogram may support faster decision-making and bedside risk evaluation.
Roshan Angdembe, You Wu, Qun-Gang Ke et al.· Medicine· 0 citations
Accounting for age, and diabetes significantly improves HF prediction beyond NT proBNP alone, and could aid ED clinicians, enabling faster, more accurate HF diagnosis and more efficient discharge of non HF patients.
J. Yen, Sophie Furlow, Laurel Jackson et al.· Clinical Chemistry· 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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.