The use of four-pillar regimen for heart failure management: results from the Jordanian Heart Failure Registry (JoHFR).

Background: Heart failure (HF) is a complex cardiovascular disease. Effective management typically involves four main medications: angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, beta-blockers, angiotensin receptor-neprilysin inhibitors, and mineralocorticoid receptor antagonists, along with sodium-glucose co-transporter-2 inhibitors (SGLT2i). The primary objective of this article is to assess and identify the utilization of four-pillar regimen for HF managment and explore the characteristics of the patients being on the four-pillar regimen in Jordan.

Comparative Analysis of Heart Failure with Preserved Vs Reduced Ejection Fraction: Patient Characteristics, Outcomes, Mortality Prediction, and Machine Learning Model Development in the JoHFR.

Background: Heart failure (HF) is a global health challenge affecting millions, with significant variations in patient characteristics and outcomes based on ejection fraction. This study aimed to differentiate between HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF) with respect to patient characteristics, risk factors, comorbidities, and clinical outcomes, incorporating advanced machine learning models for mortality prediction.

Methodology: The study included 1861 HF patients from 21 centers in Jordan, categorized into HFrEF (EF <40%) and HFpEF (EF ≥ 50%) groups.

Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry.

Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypertension, and diabetes mellitus (DM) are common among HF patients, as they share similar risk factors. This study aimed to identify the prognostic significance of multiple factors and their correlation with disease prognosis and outcomes in a Jordanian cohort.

Impact of Diabetes Mellitus on Heart Failure Patients: Insights from a Comprehensive Analysis and Machine Learning Model Using the Jordanian Heart Failure Registry.

Background: Heart failure (HF) is a common final pathway of various insults to the heart, primarily from risk factors including diabetes mellitus (DM) type 2. This study analyzed the clinical characteristics of HF in a Jordanian population with a particular emphasis on the relationship between DM and HF.

Methods: This prospective study used the Jordanian Heart Failure Registry (JoHFR) data.

Factors influencing dyslipidemia in statin-treated patients in Lebanon and Jordan: results of the Dyslipidemia International Study.

Background: Cardiovascular disease is the leading cause of death and disability worldwide. Therefore, as part of the Dyslipidemia International Study (DYSIS), we have analyzed the prevalence of lipid abnormalities and risk factors for dyslipidemia in statin-treated patients in Lebanon and Jordan.

Methods: This cross-sectional, multicenter study enrolled 617 patients at 13 hospitals in Lebanon and Jordan.