Introduction: Chronic kidney disease (CKD) is a risk factor for cardiovascular and all-cause mortality. Recognition of high-risk patients is important and could lead to a different approach and better treatment. The CHA2DS2-VASc score was originally used to predict cerebral infarction in patients with atrial fibrillation (AF), but it is also a useful predictor of outcome in other cardiovascular conditions, independent of AF. Therefore, the aim of our research was to assess the role of CHA2DS2-VASc score in predicting cardiovascular and all-cause mortality in CKD patients.
Methods: Stable nondialysis CKD patients were included. At the time of inclusion, medical history data and standard blood results were collected and CHA2DS2-VASc score was calculated. Patients were followed till the same end date, until kidney transplantation or until their death.
Results: Eighty-seven CKD patients were included (60.3 ± 12.8 years, 66% male). Mean follow-up time was 1,696.5 ± 564.6 days. During the follow-up, 21 patients died and 11 because of cardiovascular reasons. Univariate Cox regression analysis showed that CHA2DS2-VASc score is a significant predictor of cardiovascular and all-cause mortality. In multivariate Cox regression analysis, in which CHA2DS2-VASc score, serum creatinine, urinary albumin/creatinine, hemoglobin, high-sensitivity C-reactive protein, and intact parathyroid hormone were included, CHA2DS2-VASc score was an independent predictor of cardiovascular (HR: 2.04, CI: 1.20-3.45, p = 0.008) and all-cause mortality (HR: 2.06, CI: 1.43-2.97, p = 0.001). The same was true after adding total cholesterol, triglycerides, and smoking status to both the analyses.
Conclusion: The CHA2DS2-VASc score is a simple, practical, and quick way to identify the risk for cardiovascular and all-cause mortality in CKD patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000516121 | DOI Listing |
Cardiovasc Diabetol
January 2025
Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan, ROC.
Background: Atrial fibrillation (AF) and diabetes mellitus (DM) are associated with an increased risk of ischemic stroke, particularly in geriatric populations. Sodium-glucose cotransporter-2 inhibitors (SGLT2i) have demonstrated cardiovascular benefits, but their effects on stroke risk may vary by age. This study aimed to explore the age-dependent effects of SGLT2i on stroke risk in patients with AF and DM.
View Article and Find Full Text PDFCureus
December 2024
Cardiology, Avicenna Military Hospital, Marrakesh, MAR.
Introduction Atrial fibrillation (AF), the most common cardiac arrhythmia, poses challenges in predicting thromboembolic risk. While the CHADS-VASc (congestive heart failure, hypertension, age ≥ 75 years (doubled), type 2 diabetes mellitus, previous stroke, transient ischemic attack, or thromboembolism (doubled), vascular disease, age 65-74 years, and sex category) score remains essential, its limitations include failure to identify left atrial (LA) thrombus in some patients. Transesophageal echocardiography (TEE) provides superior detection of LA thrombi and thrombogenic factors compared to transthoracic echocardiography (TTE), improving risk stratification, especially in intermediate-risk groups.
View Article and Find Full Text PDFEuropace
January 2025
Department of Cardiovascular Sciences, UZ Leuven, Leuven, Belgium.
Background And Aims: Atrial fibrillation (AF) or atrial flutter (AFL) after cardiac surgery are common and associated with adverse outcomes. The increased risk related to AF or AFL may extend beyond discharge. This study aims to determine whether photoplethysmography (PPG)-based smartphone monitoring to detect AF or AFL after hospital discharge following cardiac surgery improves AF management.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, Jilin Province, China.
Purpose: Left atrial thrombus or spontaneous echo contrast (LAT/SEC) are widely recognized as significant contributors to cardiogenic embolism in non-valvular atrial fibrillation (NVAF). This study aimed to construct and validate an interpretable predictive model of LAT/SEC risk in NVAF patients using machine learning (ML) methods.
Methods: Electronic medical records (EMR) data of consecutive NVAF patients scheduled for catheter ablation at the First Hospital of Jilin University from October 1, 2022, to February 1, 2024, were analyzed.
JACC Adv
December 2024
Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Background: Rheumatic atrial fibrillation (AF) patients are at an elevated risk of stroke events, yet the associated risk factors remain unclear.
Objectives: This study aimed to evaluate the effectiveness of the CHADS-VASc score in predicting stroke events in rheumatic AF patients and explore potential enhancements for increased predicting accuracy in the Asian population, comparing it to nonvalvular AF.
Methods: A retrospective cohort study spanning March 2010 to December 2020 included 29,341 AF patients followed up for up to 10 years, with 1,942 identified as having rheumatic AF.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!