The PR interval and QRS duration could be predictors of renal function decline

Abstract Objective Previous studies have implicated PR interval (iPR) and QRS duration (dQRS) obtained by electrocardiography in independent predictors of cardiovascular disease, which often precedes renal dysfunction. The aim of this study was to examine whether iPR or dQRS could be a predictor of...

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Bibliographic Details
Published in:Atherosclerosis 2015-05, Vol.240 (1), p.105-109
Main Authors: Majima, Saori, Tanaka, Muhei, Okada, Hiroshi, Senmaru, Takafumi, Asano, Mai, Yamazaki, Masahiro, Toda, Hitoshi, Oda, Yohei, Hasegawa, Goji, Nakamura, Naoto, Fukui, Michiaki
Format: Article
Language:English
Subjects:
Action Potentials
Adult
Arrhythmias, Cardiac - diagnosis
Arrhythmias, Cardiac - epidemiology
Arrhythmias, Cardiac - physiopathology
Cardiovascular
Electrocardiography
Female
Glomerular Filtration Rate
Health Surveys
Healthy subjects
Heart Conduction System - physiopathology
Heart Rate
Humans
Japan - epidemiology
Kidney - physiopathology
Kidney Diseases - diagnosis
Kidney Diseases - epidemiology
Kidney Diseases - physiopathology
Logistic Models
Male
Middle Aged
Multivariate Analysis
Odds Ratio
PR interval
Predictive Value of Tests
Prevalence
Prognosis
QRS duration
Renal function decline
Retrospective Studies
Risk Factors
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Summary:Abstract Objective Previous studies have implicated PR interval (iPR) and QRS duration (dQRS) obtained by electrocardiography in independent predictors of cardiovascular disease, which often precedes renal dysfunction. The aim of this study was to examine whether iPR or dQRS could be a predictor of renal function decline in a community-based cohort. Methods We enrolled 1149 healthy subjects, and retrospectively evaluated the relationships between iPR or dQRS and renal function decline, observation period of which was 3 years, and assessed whether iPR or dQRS could predict renal function decline. Results The iPR ( r  = −0.102, p  = 0.0006) or dQRS ( r  = −0.097, p  = 0.0010) was negatively associated with a rate of decline in estimated glomerular filtration rate (eGFR). Multiple regression analyses revealed that iPR ( β  = −0.095, p  = 0.0023) or dQRS ( β  = −0.069, p  = 0.0351) was an independent determinant of the rate of decline in eGFR after adjustment for covariates. Logistic regression analyses demonstrated that the longest iPR (odds ratios (OR), 2.03; 95% confidence intervals (CI), 1.49 to 2.76; p  
ISSN:0021-9150
1879-1484
DOI:10.1016/j.atherosclerosis.2015.03.001