Congestive heart failure with and without atrial fibrillation – different patient populations?

Usefulness of Collagen Carboxy-Terminal Propeptide and Telopeptide to Predict Disturbances of Long-Term Mortality in Patients ≥60 Years With Heart Failure and Reduced Ejection Fraction

Disturbances of collagen metabolism may alter the myocardial collagen network and contribute to cardiac remodeling and prognosis in heart failure (HF). Collagen type I synthesis and degradation can be assessed indirectly by the circulating biomarkers carboxy-terminal propeptide (PICP) and carboxy-terminal telopeptide (CITP), respectively. We examined the associations between PICP and CITP and long-term mortality in patients with HF. The Optimizing Congestive Heart Failure Outpatient Clinic (OPTIMAL) project studied patients aged ≥60 years with New York Heart Association class II to IV and HF with reduced ejection fraction (EF) hospitalized with acute HF during 1996 to 1999. On entry, mean age was 75 years, blood pressure 134/80 mm Hg, EF 34%, brain natriuretic peptide 312 pg/ml; 55% had atrial fibrillation. Dates of mortality were collected from administrative databases and medical records up until 2008. Follow-up was 9 to 13 years in all 132 patients, and mean survival was 5.5 ± 4.0 years. Baseline PICP tended to be higher, CITP was higher, and the PICP:CITP ratio was lower in the 102 deceased, compared with the 30 patients alive. Multivariable Cox regression analyses including 2 established risk factor models performed for all-cause (n = 101) and cardiovascular mortality (n = 61) show PICP and CITP to be independent predictors for all-cause and cardiovascular mortality. In conclusion, disturbances of collagen type I metabolism have independent prognostic implications for long-term all-cause and cardiovascular mortality in patients with HF with reduced EF. The results suggest excessive degradation to be the predominant disturbance associated with untoward prognosis and adds information on possible target mechanisms for future therapy.

Echocardiographic measures of atrial function may predict atrial fibrillation in stroke patients

OBJECTIVE

In patients with a prior stroke or transient ischemic attack (TIA) and atrial fibrillation anticoagulant treatment is indicated. This study's purpose was to investigate if echocardiography can predict unknown AF in patients after stroke.

DESIGN

Prospectively, 174 stroke/TIA patients without diagnosed AF underwent echocardiographic evaluation including tissue Doppler imaging (TDI) focusing on functional parameters of the left atrium and left ventricular diastolic function. AF screening was performed during 30 d.

RESULTS

Fifteen patients (8.6%) were diagnosed with AF. Echocardiography in the AF group compared to those without AF, showed larger left atrial volume index (LAVI), (37.2 ± 6.7 vs. 31.6 ± 8.6 ml/m(2), p = 0.018), lower A' velocities in ventricular (5.9 ± 2.2 vs. 7.2 ± 1.6, p = 0.010) and atrial (4.8 ± 1.4 vs. 5.9 ± 1.4, p = 0.013) septa, higher LAVI/A' in ventricular septum (6.7 (5.0-8.7) vs. 4.2 (3.2-5.5), p = 0.001) and atrial septum (8.5 (5.9-11.0) vs. 5.1 (4.1-6.8), p = 0.003). Receiver operating characteristic analyses to detect AF was performed, area under the curve for LAVI was 0.71 (0.61-0.83), p = 0.008, and for LAVI/A' in ventricular septum 0.76 (0.59-0.93), p = 0.006 and atrial septum 0.78 (0.63-0.93), p = 0.002, respectively.

CONCLUSIONS

LAVI and measures of atrial contraction as measured by TDI predict unknown AF in patients after an stroke/TIA and may be used to detect silent AF.