1. Prognostic value of resting heart rate on cardiovascular and renal outcomes in type 2 diabetic patients: a competing risk analysis in a prospective cohort.
- Author
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Miot A, Ragot S, Hammi W, Saulnier PJ, Sosner P, Piguel X, Torremocha F, Marechaud R, Hadjadj S, Miot, Aurelie, Ragot, Stéphanie, Hammi, Wala, Saulnier, Pierre-Jean, Sosner, Philippe, Piguel, Xavier, Torremocha, Florence, Marechaud, Richard, and Hadjadj, Samy
- Abstract
Objective: Epidemiological studies and randomized clinical trials have demonstrated in various populations that resting heart rate (RHR) was an independent predictor of cardiovascular (CV) risk and all-cause mortality. However, few data specifically evaluated the relationship between RHR and long-term CV and renal complications in a large population of type 2 diabetic (T2D) patients.Research Design and Methods: We performed a single-center, prospective analysis in 1,088 T2D patients. RHR was determined at baseline by electrocardiogram. The primary outcome was a composite criterion of CV and renal morbi-mortality (CV death, nonfatal myocardial infarction and/or stroke, hospitalization for heart failure, renal replacement therapy), which was adjusted for death from non-CV cause as a competing event. The secondary outcome was a renal composite criterion (renal replacement therapy or doubling of baseline serum creatinine) adjusted for all-cause death as a competing event.Results: During median follow-up of 4.2 years, 253 patients (23%) and 62 patients (6%) experienced the primary and secondary outcomes, respectively. In the subgroup of patients with CV disease history at baseline (n = 336), RHR was found to be associated with the incidence of primary outcome (P = 0.0002) but also with renal risk alone, adjusted for all-cause death as a competing event (secondary outcome; P < 0.0001). In patients without history of CV disease, no relation was found between RHR and the incidence of CV and/or renal events.Conclusions: In the real-life setting, RHR constitutes an easy and less time-consuming factor that would permit identification of CV disease diabetic patients with an increased risk for long-term CV and renal complications. [ABSTRACT FROM AUTHOR]- Published
- 2012