Relation of Higher Resting Heart Rate to Risk of Cardiovascular Versus Noncardiovascular Death.

Higher resting heart rate (RHR) is associated with increased risk of all-cause and cardiovascular mortality, with some reports showing the magnitude of association with all-cause mortality being stronger than that with cardiovascular mortality. This suggests that RHR association with mortality may not be limited to cardiovascular death. We compared the association between RHR with cardiovascular and noncardiovascular mortality in 6,743 participants (mean age 58.7 years, 52% women, 48% non-Hispanic whites) from the Third National Health and Nutrition Examination Survey (NHANES-III) after excluding those on antiarrhythmic drugs or with missing data. RHR data were obtained from standard 12-lead electrocardiogram recorded on the NHANES participants during a physical examination. National Death Index was used to identify the date and cause of death. Multivariable Cox proportional hazards analysis was used to calculate the hazard ratios (HRs) and 95% CIs for cardiovascular mortality and noncardiovascular mortality, separately, associated with 10 beats/min increase in RHR. During a median follow-up of 13.9 years, 906 cardiovascular deaths and 1,306 noncardiovascular deaths occurred. In models adjusted for age, gender, race, hypertension, diabetes, obesity, dyslipidemia, previous cardiovascular disease, smoking, cancer, chronic obstructive airway disease, thyroid disease, and serum creatinine, higher RHR was associated with increased risk of both cardiovascular mortality and noncardiovascular mortality with a relatively similar magnitude of risk (HR 1.19, 95% CI 1.12 to 1.26 and HR 1.23, 95% CI 1.17 to 1.29, respectively). In conclusion, higher RHR is associated with both cardiovascular mortality and noncardiovascular mortality suggesting that RHR is probably a marker of overall well-being rather than a marker of cardiovascular health.

Left ventricular hypertrophy by ECG versus cardiac MRI as a predictor for heart failure.

OBJECTIVE: To determine if there is a significant difference in the predictive abilities of left ventricular hypertrophy (LVH) detected by ECG-LVH versus LVH ascertained by cardiac MRI-LVH in a model similar to the Framingham Heart Failure Risk Score (FHFRS). METHODS: This study included 4745 (mean age 61±10 years, 53.5% women, 61.7% non-whites) participants in the Multi-Ethnic Study of Atherosclerosis. ECG-LVH was defined using Cornell voltage product while MRI-LVH was derived from left ventricular mass. Cox proportional hazard regression was used to examine the association between ECG-LVH and MRI-LVH with incident heart failure (HF). Harrell's concordance C-index was used to estimate the predictive ability of the model when either ECG-LVH or MRI-LVH was included as one of its components. RESULTS: ECG-LVH was present in 291 (6.1%), while MRI-LVH was present in 499 (10.5%) of the participants. Both ECG-LVH (HR 2.25, 95% CI 1.38 to 3.69) and MRI-LVH (HR 3.80, 95% CI 1.56 to 5.63) were predictive of HF. The absolute risk of developing HF was 8.81% for MRI-LVH versus 2.26% for absence of MRI-LVH with a relative risk of 3.9. With ECG-LVH, the absolute risk of developing HF 6.87% compared with 2.69% for absence of ECG-LVH with a relative risk of 2.55. The ability of the model to predict HF was better with MRI-LVH (C-index 0.871, 95% CI 0.842 to 0.899) than with ECG-LVH (C-index 0.860, 95% CI 0.833 to 0.888) (p<0.0001). CONCLUSIONS: ECG-LVH and MRI-LVH are predictive of HF. Substituting MRI-LVH for ECG-LVH improves the predictive ability of a model similar to the FHFRS.