We sought to investigate the prognostic value of the electrocardiogram (ECG) electrical axes (P wave, T wave and QRS) as predictors of mortality in the 14-year follow-up of the prospective cohort of all residents ≥60 years living in the southeastern Brazilian city of Bambuí, a population with high prevalence of Chagas disease (ChD). Baseline ECG axes were automatically measured with normal values defined as follows: P-wave axis 0° to 75°, QRS axis -30° to 90°, and T axis 15° to 75°. Participants underwent annual follow-up visits and death was verified using death certificates. Cox proportional hazards regression was used to assess the prognostic value of ECG axes for all-cause mortality, after adjustment for potential confounders. From 1,742 qualifying residents, 1,462 were enrolled, of whom 557 (38.1%) had ChD. Mortality rate was 51.9%. In multivariable adjusted models, abnormal P-wave axis was associated with a 48% (hazard ratio [HR] = 1.48 [95% confidence interval (CI) 1.16-1.88]) increased mortality risk in patients with ChD and 43% (HR = 1.43 [CI 1.13-1.81]) in patients without ChD. Abnormal QRS axis was associated with a 34% (HR = 1.34 [CI 1.04-1.73]) increased mortality risk in patients with ChD, but not in individuals without ChD. Similarly, in the ChD group, abnormal T-wave axis was associated with a 35% (HR = 1.35 [CI 1.07-1.71]) increased mortality, but not in patients without ChD. In conclusion, abnormal P-wave, QRS, and T-wave axes were associated with increased all-cause mortality in patients with ChD. Abnormal P-wave axis was associated with mortality also among those without ChD, being the strongest predictor among ECG variables.
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http://dx.doi.org/10.1016/j.amjcard.2017.10.020 | DOI Listing |
R I Med J (2013)
February 2025
Division of Cardiology, Department of Medicine, Brown University, Providence RI.
Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of morbidity and mortality worldwide. This review explores the evolving evidence base surrounding ASCVD prevention, particularly regarding nontraditional biomarkers, risk scores, and cardiovascular imaging modalities. Additionally, this review examines cardiovascular risk scores, including the PREVENT and MESA-CHD scores, which incorporate both traditional and nontraditional factors, thereby aspiring to offer a more equitable and precise risk assessment.
View Article and Find Full Text PDFBelitung Nurs J
January 2025
Faculty of Nursing, Burapha University, Chonburi, Thailand.
Background: Self-management behaviors can prevent the negative consequences among patients with coronary heart disease (CHD). The reality of patients followed the self-management behaviors rate are unoptimistic.
Objective: This study aimed to examine whether self-efficacy serves as a mediating role between family functioning and self-management behaviors among coronary heart disease patients.
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Nursing, School of Medical and Health Engineering, Changzhou University, Changzhou, Jiangsu, China.
Background: Coronary atherosclerotic heart disease (coronary heart disease; CHD) is the leading cause of death in women worldwide, and the number of patients and deaths is increasing each year. Approximately 3.8 million women die from CHD every year globally.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Emergency, Wuhan Fourth Hospital, Wuhan, Hubei, China.
Background: At present, the relationship among inflammatory markers [monocytes/HDL-c (MHR), neutrophils/HDL-c (NHR) and lymphocytes/HDL-c (LHR)] and long-term prognosis of coronary heart disease (CHD) is still unclear. Therefore, this study explores the relationship between inflammatory indicators and the risk of long-term major adverse cardiovascular events (MACE) in elderly patients with CHD.
Methods: A retrospective analysis was conducted on 208 elderly patients who underwent coronary angiography at Wuhan Fourth Hospital from August 2022 to August 2023.
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