Biomarkers in outpatient heart failure management; Are they correlated to and do they influence clinical judgment?

AIMS: Heart failure (HF) management is complicated by difficulties in clinical assessment. Biomarkers may help guide HF management, but the correspondence between clinical evaluation and biomarker serum levels has hardly been studied. We investigated the correlation between biomarkers and clinical signs and symptoms, the influence of patient characteristics and comorbidities on New York Heart Association (NYHA) classification and the effect of using biomarkers on clinical evaluation. METHODS AND RESULTS: This post-hoc analysis comprised 622 patients (77 ± 8 years, 76 % NYHA class ≥3, 80 % LVEF ≤45 %) participating in TIME-CHF, randomising patients to either NT-proBNP-guided or symptom-guided therapy. Biomarker measurements and clinical evaluation were performed at baseline and after 1, 3, 6, 12 and 18 months. NT-proBNP, GDF-15, hs-TnT and to a lesser extent hs-CRP and cystatin-C were weakly correlated to NYHA, oedema, jugular vein distension and orthopnoea (ρ-range: 0.12-0.33; p < 0.01). NT-proBNP correlated more strongly to NYHA class in the NT-proBNP-guided group compared with the symptom-guided group. NYHA class was significantly influenced by age, body mass index, anaemia, and the presence of two or more comorbidities. CONCLUSION: In HF, biomarkers correlate only weakly with clinical signs and symptoms. NYHA classification is influenced by several comorbidities and patient characteristics. Clinical judgement seems to be influenced by a clinician's awareness of NT-proBNP concentrations.

The role of routine echocardiography in unselected patients with cerebrovascular ischaemic events.

BACKGROUND: Cardiac embolism is an important etiology of cerebrovascular ischaemic events (CIE). Echocardiography is routinely performed in patients with CIE despite guidelines recommending restriction of echocardiography to patients with clinically suspected cardioembolism. OBJECTIVE: The aim of this study was to examine the therapeutic impact and prognostic role of echocardiographic findings in an unselected population suffering from CIE. METHODS: Between November 2006 and November 2007, 319 patients with CIE underwent evaluation by transthoracic echocardiography (TTE) and in addition by transesophageal echocardiography (TEE) if deemed mandatory (n = 49). The combined clinical end-point included death or recurrent CIE, occurring during a follow-up period of 3 and 12 months, respectively. RESULTS: After 3 months of follow-up, the combined end-point was noted in 30 (9%) and after 12 months in 43 (13%) patients. In multivariate analysis, atrial fibrillation (AF) (HR 2.12, 95% CI 1.38-3.25; P < 0.001) and coronary artery disease (CAD: HR 1.85, 95% CI 1.21-2.81; P = 0.004) were predictors of events occurring during short-term follow-up. After 1 year of follow-up, AF (HR 1.67, 95% CI 1.19-2.32; P = 0.003) and CAD (HR 1.5, 95% CI 1.09-2.06; P = 0.01) were associated with the combined end-point. Echocardiographic parameters assessed at study entry were not independently related to an adverse outcome. CONCLUSION: Whereas AF and CAD appear to increase the risk of events after suffering from CIE, echocardiographic findings were not independently associated with the combined end-point of recurrent CIE or death.

Quantification of aortic flow by phase-contrast magnetic resonance in patients with bicuspid aortic valve.

AIMS: Bicuspid aortic valve (BAV) causes complex flow patterns in the ascending aorta (AAo), which may compromise the accuracy of flow measurement by phase-contrast magnetic resonance (PC-MR). Therefore, we aimed to assess and compare the accuracy of forward flow measurement in the AAo, where complex flow is more dominant in BAV patients, with flow quantification in the left ventricular outflow tract (LVOT) and the aortic valve orifice (AV), where complex flow is less important, in BAV patients and controls. METHODS AND RESULTS: Flow was measured by PC-MR in 22 BAV patients and 20 controls at the following positions: (i) LVOT, (ii) AV, and (iii) AAo, and compared with the left ventricular stroke volume (LVSV). The correlation between the LVSV and the forward flow in the LVOT, the AV, and the AAo was good in BAV patients (r = 0.97/0.96/0.93; P < 0.01) and controls (r = 0.96/0.93/0.93; P < 0.01). However, in relation with the LVSV, the forward flow in the AAo was mildly underestimated in controls and much more in BAV patients [median (inter-quartile range): 9% (4%/15%) vs. 22% (8%/30%); P < 0.01]. This was not the case in the LVOT and the AV. The severity of flow underestimation in the AAo was associated with flow eccentricity. CONCLUSION: Flow measurement in the AAo leads to an underestimation of the forward flow in BAV patients. Measurement in the LVOT or the AV, where complex flow is less prominent, is an alternative means for quantifying the systolic forward flow in BAV patients.

Individual dosage of digoxin in patients with heart failure.

BACKGROUND: After the publication of DIG trial, the therapeutic target of serum digoxin concentration (SDC) for the treatment of heart failure (HF) has been lowered (0.40-1.00 ng/ml). However, the majority of equations to calculate digoxin dosages were developed for higher SDCs. Recently, a new equation was validated in Asian population for low SDCs by Konishi et al., but results in Caucasians are unknown. AIM: This study was aimed to test the Konishi equation in Caucasians specifically targeting low SDCs. Furthermore, the Konishi equation was compared with other frequently used equations. DESIGN: This was a prospective, multicenter study. METHODS: Clinically indicated digoxin was given in 40 HF patients. The dosage was calculated with the Konishi equation. The SDC was measured at 1 and 6 months after starting digoxin. Adherence to digoxin was monitored with a specific questionnaire. RESULTS: After exclusion of patients admitting poor adherence, we found a reasonable correlation between predicted and measured SDC (r=0.48; P<0.01) by the Konishi equation. Excluding patients with poor adherence and relevant worsening of renal function, the measured SDC (n=54 measurements) was within the pre-defined therapeutic range in 95% of the cases. The mean, maximal and minimal measured SDC were 0.69±0.19, 1.00 and 0.32 ng/ml, respectively. The correlation was weaker for the Jelliffe, the Koup and Jusko, and the Bauman equations. CONCLUSION: This study supports the clinical validity of the Konishi equation for calculating individual digoxin dosage in Caucasians, targeting SDCs according to current HF guidelines.