Background: Hypertension and electrocardiographic left ventricular hypertrophy (ECG-LVH) are strong predictors of heart failure (HF). It is unclear whether regression of ECG-LVH during treatment predicts less new-onset HF in patients with isolated systolic hypertension (ISH).

Methods: A total of 9,027 patients with hypertension and ECG-LVH and without a history of HF were randomized to losartan- or atenolol-based treatment in the Losartan Intervention For Endpoint reduction in hypertension study. Incident HF and the combined endpoint of HF and death were evaluated in 1,280 ISH patients and as compared with 7,747 patients with systolic-diastolic hypertension or isolated diastolic hypertension (non-ISH) during mean 4.8 ± 0.9 years follow-up.

Results: New-onset HF and HF or death occurred in 57 (4.5%) and 179 (14.0%) ISH patients and 220 (2.8%) and 787 (10.2%) non-ISH patients. In Cox regression analyses adjusting for treatment and HF risk factors, time-varying Cornell product was associated with lower risk of new-onset HF in ISH (adjusted hazard ratio (HR) 0.79, 95% confidence interval (CI) 0.67-0.94, P = 0.008, per 1,050 mm × ms (1 SD) lower Cornell product) and in non-ISH (adjusted HR 0.67, 95% CI 0.61-0.72, P < 0.001, per SD lower Cornell product). In parallel analyses, time-varying Cornell product was associated with lower risk of new-onset HF or death in ISH and non-ISH (adjusted HR 0.83, 95% CI 0.75-0.93, P = 0.001 and 0.82, 95% CI 0.77-0.87, P < 0.001, per SD lower Cornell product).

Conclusions: Regression of time-varying Cornell product was associated with similar reductions in risk of new-onset HF and the combined endpoint of HF or death in ISH and non-ISH patients.

Download full-text PDF

Source
http://dx.doi.org/10.1038/ajh.2012.86DOI Listing

Publication Analysis

Top Keywords

cornell product
20
risk new-onset
16
associated lower
12
lower risk
12
time-varying cornell
12
product associated
12
lower cornell
12
regression ecg-lvh
8
heart failure
8
patients
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!