Background: The role of obesity as a risk factor for cardiovascular disease in patients with chronic kidney disease (CKD) is poorly understood. Waist-to-hip ratio (WHR) is less influenced by muscle and bone mass than body mass index (BMI). We compared WHR and BMI as risk factors for cardiac events (myocardial infarction and fatal coronary disease) in persons with CKD.
Study Design: Cohort study.
Setting & Participants: Persons with CKD, defined as baseline estimated glomerular filtration rate of 15 to 60 mL/min/1.73 m(2), drawn from 2 community studies: the Atherosclerosis Risk in Communities Study and the Cardiovascular Health Study.
Predictor: WHR, waist circumference, and BMI.
Outcomes & Measurements: Myocardial infarction and fatal coronary heart disease.
Results: Of 1,669 participants with CKD, mean age was 70.3 years and 56% were women. Mean (SD) WHRs were 0.97 +/- 0.08 in men and 0.90 +/- 0.07 in women; mean (SD) BMI was 27.2 +/- 4.6 kg/m(2). During a mean of 9.3 years of follow-up, there were 334 cardiac events. In multivariable-adjusted Cox models, the highest WHR group (n = 386) was associated with an increased risk of cardiac events compared with the lowest WHR group (hazard ratio, 1.36; 95% confidence interval, 1.01 to 1.83). Obesity, defined as BMI greater than 30 kg/m(2) (n = 381), was not associated with cardiac events (hazard ratio, 0.86; 95% confidence interval, 0.62 to 1.20) in comparison to participants with normal BMI (<25 kg/m(2)). Results with waist circumference were similar to those with BMI.
Limitations: Absence of a gold standard for measurement of visceral fat.
Conclusions: WHR, but not BMI, is associated with cardiac events in persons with CKD. Relying exclusively on BMI may underestimate the importance of obesity as a cardiovascular disease risk factor in persons with CKD.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2693892 | PMC |
http://dx.doi.org/10.1053/j.ajkd.2008.04.002 | DOI Listing |
Acta Pharm
December 2024
Department of Clinical Pharmacy, University Hospital Dubrava, 10000 Zagreb Croatia.
Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity globally. It is estimated that 17.9 million people died from CVDs in 2019, which represents 32 % of all deaths worldwide.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
View Article and Find Full Text PDFAm J Respir Crit Care Med
January 2025
University of Medicine and Pharmacy Carol Davila Bucharest, Bucuresti, Romania.
Rationale: Early detection, standardized therapy, adequate infrastructure and strategies for quality improvement should constitute essential components of every hospital's sepsis plan.
Objectives: To investigate the extent to which recommendations from the sepsis guidelines are implemented and the availability of infrastructure for the care of patients with sepsis in acute hospitals.
Methods: A multidisciplinary cross-sectional questionnaire was used to investigate sepsis care in hospitals.
J Med Internet Res
January 2025
Department of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.
Background: Intensive care units (ICUs) handle the most critical patients with a high risk of mortality. Due to those conditions, close monitoring is necessary and therefore, a large volume of data is collected. Collaborative ventures have enabled the emergence of large open access databases, leading to numerous publications in the field.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
Laboratoire AGEIS, Université Grenoble Alpes, La Tronche Cedex, France.
Background: Although agricultural health has gained importance, to date, much of the existing research relies on traditional epidemiological approaches that often face limitations related to sample size, geographic scope, temporal coverage, and the range of health events examined. To address these challenges, a complementary approach involves leveraging and reusing data beyond its original purpose. Administrative health databases (AHDs) are increasingly reused in population-based research and digital public health, especially for populations such as farmers, who face distinct environmental risks.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!