p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Heart Science Journal
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Predicting lesion complexity in premature coronary artery disease: The utility of clinical risk scores Firdaus, Achmad Jauhar; Mohammad Saifur Rohman; Budi Satrijo; Cholid Tri Tjahjono; Anna Fuji Rahimah
Heart Science Journal Vol. 6 No. 3 (2025): Advancements in Cardiac Imaging : Unlocking New Perspectives on the Heart Visua
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.hsj.2025.006.03.12

Abstract

Background: Premature coronary artery disease (PCAD) has been recognized as a significant global health issue, with its prevalence increasing due to earlier exposure to various risk factors. Emerging evidence suggests that PCAD may be as aggressive, if not more so, than in older populations. The clinical implications and angiographic characteristics for more aggressive management strategies remain poorly explored. Objectives: This study aims to develop and validate a clinical scoring system in predicting lesion complexity in patients with PCAD. Methods: A retrospective cohort study was conducted on 645 patients who underwent invasive coronary angiography (ICA) from January 2023 to December 2024 in Dr. Saiful Anwar General Hospital, East Java, Indonesia. Patients were divided into developmental (n = 322) and validation (n = 323) groups. Clinical information was gathered from medical records, including risk factors and angiographic results. Predictors of complex CAD (SYNTAX ≥ 33) were identified by multiple logistic regression analysis. A clinical scoring system was developed and validated. Results: This study found complex CAD in 252 (39.1%) of all PCAD patients. Smoking (OR 2.3; p 0.006), dyslipidemia (OR 2.8; p < 0.001), diabetes mellitus (OR 3.9; p < 0.001), history of previous myocardial infarction (OR 6.5; p < 0.001), and family history of CAD (OR 5.7; p < 0.001) were independent predictors of complex CAD. A clinical scoring system was developed with a cut-off score ≥ 4 predicting complex CAD, with an area under the curve (AUC) value of 0.836 (95% CI 0.791-0.880), sensitivity of 71.3%, and specificity of 85.0%. Conclusion: The PCAD population continues to represent a high-risk group of concern. While the short-term prognosis is optimistic, the long-term outlook for this cohort is less promising due to the high recurrence rate and prolonged complications, especially in individuals with complicated CAD, leading to impaired quality of life
The effect of increased uric acid levels on the severity of coronary artery stenosis based on SYNTAX score in patients with chronic coronary syndrome Lestari, Defyna Dwi; Budi Satrijo; Mohamad Saifur Rohman
Heart Science Journal Vol. 7 No. 2 (2026): The Evolving Landscape of Heart Failure
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.hsj.2026.007.02.13

Abstract

  Background: Recent findings indicate that the adverse effects of uric acid (UA) on the coronary arteries contribute to the severity of atherosclerotic disease. Objective: This analysis investigates the relationship between serum uric acid concentrations and the SYNTAX score, quantifying coronary artery disease severity (CAD). Methods: A cross-sectional study took place at Saiful Anwar General Hospital from January 2022 to December 2024.  A total of 1156 patients diagnosed with CAD who underwent coronary angiography were chosen for the study. Result: The analysis of uric acid levels led to the classification of participants into two distinct groups: the hyperuricemia group (n = 396) and the normouricemia group (n = 760).  The analysis involved comparing the groups in terms of the occurrence of CAD and SYNTAX score while examining gender-specific quartiles of uric acid levels.     The clinical baseline data underwent evaluation through suitable statistical methods, and a multivariate logistic regression analysis was conducted to pinpoint independent risk factors for CAD. Conclusion: UA showed a positive relationship with the SYNTAX score in individuals with CAD. It serves as an independent indicator for assessing the extent of coronary artery stenosis and has predictive capabilities.