Introduction: The prognosis of patients hospitalized with acute heart failure (AHF) is poor and risk stratification may help clinicians guide care. The objectives of the Acute Heart Failure Database (AHEAD) registry are to assess patient characteristics, etiology, treatment and outcome of AHF. Methods: The AHEAD main registry includes patients hospitalized for AHF in seven centers with a Catheterization Laboratory Service in the Czech Republic. The data were collected from September 2006 to October 2009. The inclusion criteria for the database adhere to the European guidelines for AHF (2005) and patients were systematically classified according to the basic syndromes, type and etiology of AHF. Results: Of 4,153 patients, 12.7% died during hospitalization. The median length of hospitalization was 7.1 days. Mean age of patients was 71.5 ± 12.4 years; men were younger (68.6 ± 12.4 years) compared to women (75.5 ± 11.5 years) (P < 0.001). De-novo heart failure was seen in 58.3% of the patients. According to the classification of heart failure syndromes, acute decompensated heart failure (ADHF) was reported in 55.3%, hypertensive AHF in 4.4%, pulmonary edema in 18.4%, cardiogenic shock in 14.7%, high output failure in 3.3%, and right heart failure in 3.8%. The mortality of cardiogenic shock was 62.7%, of right AHF 16.7%, of pulmonary edema 7.1%, of high output HF 6.1%, whereas the mortality of hypertensive AHF or ADHF was < 2.5%. According to multivariate analyses, low systolic blood pressure, low cholesterol level, hyponatremia, hyperkalemia, the use of inotropic agents and norepinephrine were predictive parameters for in-hospital mortality in patients without cardiogenic shock. Severe left ventricular dysfunction and renal insufficiency were predictive parameters for mortality in patients with cardiogenic shock. Invasive ventilation and age over 70 years were the most important predictive factors for mortality in both genders with or without cardiogenic shock. Conclusions: The AHEAD Main registry provides up-to-date information on the etiology, treatment and hospital outcomes of patients hospitalized with AHF. The results highlight the highest risk patients.

The present study proposed procedure for predicting an optimal left and right ventricular pacing interval delay (V-V interval). In 16 patients (heart failure, left bundle branch block, biventricular pacing) two methods (A and B) identifying optimal V-V interval were tested. Method A: predicted optimal V-V interval A (POVV-A) = electromechanical delay of the segment paced by left ventricle lead minus electromechanical delay of the segment paced by right ventricle lead. Method B: predicted optimal V-V interval B (POVV-B) = difference in the onset of aortic and pulmonary flows. Both methods were validated using echocardiography and right-sided heart catheterization. Cardiac output during POVV-A (4.6 l.min(-1)) was significantly better than that during POVV-A minus 20 ms (4.3 l.min(-1), p<0.01) and POVV-A plus 20 ms (4.3 l.min(-1), p<0.01), and than that during POVV-B (4.4 l.min(-1), p<0.05). LV dP/dt during POVV-A (818 mm Hg.s(-1), exceeded that during POVV-A plus 20 ms (717 mm Hg.s(-1),, p<0.05) and POVV-A minus 20 ms (681 mm Hg.s(-1), p<0.05), and that during POVV-B (727 mm Hg.s(-1), p<0.01). The time difference in onsets of myocardial deformation of left ventricle segment paced by the left ventricle and right ventricle lead allows identifying the optimal V-V interval and improves left ventricle performance.

Auto?i p?vodn?ho textu v pln?m zn?n?: Petar M. Seferovic, Piotr Ponikowski jm?nem Heart Failure Association of the European Society of Cardiology.