Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Cardiovascular and metabolic diseases-specifically myocardial infarction, congestive heart failure, cerebrovascular disease, peripheral vascular disease, renal disease, and liver disease-are major public health concerns worldwide. However, studies examining how these diseases modify the relationship between long-term PM exposure and mortality remain scarce. Using a Cox regression model with a population-representative cohort from South Korea, we estimated the modifying effects of six major cardiovascular and metabolic diseases on PM-mortality association in two cohorts: (1) individuals without underlying diseases (NoUD) and (2) those with only hypertension and/or diabetes (HTN/DM). The interaction between PM and each disease onset was used to estimate effect modification, with results presented as relative hazard ratios (RHRs) per 10 µg/m increase in PM. Among 183,834 subjects, non-accidental deaths occurred in 18.0% of the NoUD (N = 134,584) and 25.7% of the HTN/DM (N = 49,250). In the NoUD cohort, renal disease (RHR: 1.58; 95% CI: 1.27-1.97), myocardial infarction (1.41; 1.15-1.73), and liver disease (1.40; 1.25-1.57) significantly modified the effect of PM on mortality. In the HTN/DM cohort, renal disease (1.74; 1.43-2.12), myocardial infarction (1.62; 1.29-2.05), and cerebrovascular disease (1.32; 1.17-1.51) showed higher RHRs. Our findings highlight the importance of consistent and preemptive care for renal disease and myocardial infarction and provide evidence for target-specific interventions to reduce the risk of PM on mortality.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12137577PMC
http://dx.doi.org/10.1038/s41598-025-04498-zDOI Listing

Publication Analysis

Top Keywords

myocardial infarction
16
renal disease
16
cardiovascular metabolic
12
disease
10
disease onset
8
long-term exposure
8
exposure mortality
8
cerebrovascular disease
8
cohort renal
8
modification cardiovascular
4

Similar Publications

Cardiac adipose tissue is normally present in the epicardium, but a variable amount can also be present in the myocardium, particularly in the subepicardial regions of the right ventricular anterolateral and apical regions. Pathological adipose tissue changes may occur in both ischemic (previous myocardial infarction) and nonischemic (previous myocarditis, arrhythmogenic cardiomyopathy, lipomatous hypertrophy of the interatrial septum, cardiac lipomas and liposarcomas) conditions, with or without extensive replacement-type myocardial fibrosis. Cardiac magnetic resonance is the gold standard imaging technique to characterize myocardial tissue changes and to distinguish between physiological and pathological cardiac fat deposits.

View Article and Find Full Text PDF

Background: Acute postoperative hypertension (APH) is encountered in patients following craniotomy and is associated with major complications. This retrospective cohort study evaluates 30-day survival for patients who received labetalol, nicardipine, or both drugs.

Methods: Patients 18 and older who underwent craniotomy between January 1, 2010 and January 1, 2023 were included in the study.

View Article and Find Full Text PDF

Importance: The cardiovascular benefits of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may vary by body mass index (BMI), but evidence on BMI-specific outcomes remains limited.

Objective: To investigate the associations of GLP-1 RA use with cardiovascular and kidney outcomes across BMI categories in patients with type 2 diabetes.

Design, Setting, And Participants: This retrospective cohort study used the Chang Gung Research Database, a clinical dataset covering multiple hospitals in Taiwan.

View Article and Find Full Text PDF

Objectives: We investigated changes in lipid-lowering drug prescriptions in Germany as a whole and in the 16 federal states over the last 13 years and their association with hospitalization rates for acute myocardial infarction.

Design: Ecological study.

Setting: Nationwide German hospitalization, Diagnosis-Related Groups Statistic.

View Article and Find Full Text PDF