Key role of congestion in natural history of heart failure

The Degree of the Predischarge Pulmonary Congestion in Patients Hospitalized for Worsening Heart Failure Predicts Readmission and Mortality

BACKGROUND

Prediction of readmission and death after hospitalization for heart failure (HF) is an unmet need.

AIM

We evaluated the ability of clinical parameters, NT-proBNP level and noninvasive lung impedance (LI), to predict time to readmission (TTR) and time to death (TTD).

METHODS AND RESULTS

The present study is a post hoc analysis of the IMPEDANCE-HF extended trial comprising 290 patients with LVEF ≤45% and New York Heart Association functional class II-IV, randomized 1:1 to LI-guided or conventional therapy. Of all patients, 206 were admitted 766 times for HF during a follow-up of 57 ± 39 months. The normal LI (NLI), representing the "dry" lung status, was calculated for each patient at study entry. The current degree of pulmonary congestion (PC) compared with its dry status was represented by ΔLIR = ([measured LI/NLI] - 1) × 100%. Twenty-six parameters recorded during HF admission were used to predict TTR and TTD. To determine the parameter which mainly impacted TTR and TTD, variables were standardized, and effect size (ES) was calculated. Multivariate analysis by the Andersen-Gill model demonstrated that ΔLIRadmission (ES = 0.72), ΔLIRdischarge (ES = -3.14), group assignment (ES = 0.2), maximal troponin during HF admission (ES = 0.19), LVEF related to admission (ES = -0.22) and arterial hypertension (ES = 0.12) are independent predictors of TTR (p < 0.01, χ2 = 1,206). Analysis of ES showed that residual PC assessed by ∆LIRdischarge was the most prominent predictor of TTR. One percent improvement in predischarge PC, assessed by ∆LIRdischarge, was associated with a likelihood of TTR increase by 14% (hazard ratio [HR] 1.14, 95% confidence interval [CI] 1.13-1.15, p < 0.01) and TTD increase by 8% (HR 1.08, 95% CI 1.07-1.09, p < 0.01).

CONCLUSION

The degree of predischarge PC assessed by ∆LIR is the most dominant predictor of TTR and TTD.

Annexin A1 is a Potential Novel Biomarker of Congestion in Acute Heart Failure

OBJECTIVES

This study sought to identify the role of annexin A1 (AnxA1) as a congestion marker in acute heart failure (AHF) and to identify its putative role in predicting clinical outcomes.

BACKGROUND

AnxA1 is a protein that inhibits inflammation following ischemia-reperfusion injury in cardiorenal tissues. Because AHF is a state of tissue hypoperfusion, we hypothesized that plasma AnxA1 levels are altered in AHF.

METHODS

In the Renal Optimization Strategies Evaluation (ROSE) trial, patients hospitalized for AHF with kidney injury were randomized to receive dopamine, nesiritide, or placebo for 72 hours in addition to diuresis. In a subanalysis, plasma AnxA1 levels were measured at baseline and at 72 hours in 275 patients. Participants were divided into 3 tertiles based on their baseline AnxA1 levels.

RESULTS

The prevalence of peripheral edema 2+ increased with increasing AnxA1 levels (P < .007). Cystatin C, blood urea nitrogen, and kidney injury molecule-1 plasma levels were higher among participants in tertile 3 vs tertiles 1 or 2 (P< .05). Patients with a congestion score of 4 had a mean baseline AnxA1 level 8.63 units higher than those with a congestion score of 0 (P = .03). Patients in tertiles 2 and 3 were twice as likely to experience creatinine elevation as patients in tertile 1 (P = .03). Patients in tertiles 2 and 3 were at a higher risk of 60-day all-cause mortality or heart failure hospitalization and 180-day all-cause mortality (P < .05).

CONCLUSIONS

Among patients hospitalized for AHF with impaired kidney function, elevated AnxA1 levels are associated with worse congestion, higher risk for further creatinine elevation, and higher rates of 60-day morbidity or all-cause mortality and 180-day all-cause mortality.

CLINICAL TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01132846.

Pathophysiology of acute heart failure: a world to know

Our understanding of the pathophysiological mechanisms of heart failure (HF) has changed considerably in recent years, progressing from a merely haemodynamic viewpoint to a concept of systemic and multifactorial involvement in which numerous mechanisms interact and concatenate. The effects of these mechanisms go beyond the heart itself, to other organs of vital importance such as the kidneys, liver and lungs. Despite this, the pathophysiology of acute HF still has aspects that elude our deeper understanding. Haemodynamic overload, venous congestion, neurohormonal systems, natriuretic peptides, inflammation, oxidative stress and its repercussion on cardiac and vascular remodelling are currently considered the main players in acute HF. Starting with the concept of acute HF, this review provides updates on the various mechanisms involved in this disease.

Validation of the concept risk for decreased cardiac output

OBJECTIVES

to validate the concept "risk for decreased cardiac output".

METHOD

Six of the eight steps suggested in the technique developed by Walker & Avant were adopted to analyze the concept of the phenomenon under study and the proposal made by Hoskins was used for content validation, taking into account agreement achieved among five experts.

RESULTS

the concept "decreased cardiac output" was found in the nursing and medical fields and refers to the heart's pumping capacity while the concept "risk" is found in a large number of disciplines. In regard to the defining attributes, "impaired pumping capacity" was the main attribute of decreased cardiac output and "probability" was the main attribute of risk. The uses and defining attributes of the concepts "decreased cardiac output" and "risk" were analyzed as well as their antecedent and consequent events in order to establish the definition of "risk for decreased cardiac output", which was validated by 100% of the experts.

CONCLUSION

The obtained data indicate that the risk for decreased cardiac output phenomenon can be a nursing diagnosis and refining it can contribute to the advancement of nursing classifications in this context.

Transthoracic bioimpedance and brain natriuretic peptide assessment for prognostic stratification of outpatients with chronic systolic heart failure

BACKGROUND

In patients with chronic heart failure, physical evaluation and clinical judgment may be inadequate for prognostic stratification.

HYPOTHESIS

Information obtained with simple bedside tests would be helpful in patient management.

METHODS

We report on 142 outpatients with systolic heart failure seen at our heart failure unit from 2007 to 2010 (ages 69.4 ± 8.9 years; ejection fraction [EF] 30.6 ± 6.1%; 43% with implanted defibrillators and/or resynchronization devices). At their first visit, we assessed levels of brain natriuretic peptide (BNP) (pg/mL), evaluated transthoracic conductance (TFC) (1/kΩ) by transthoracic bioimpedance, and performed echocardiography.

RESULTS

Four-year mortality was 21.2%. At multivariate analysis, surviving and deceased subjects did not differ regarding New York Heart Association, age, gender, heart failure etiology, or EF at index visit. Patients who died had higher BNP and TFC (BNP = 884 ± 119 pg/mL vs 334 ± 110 pg/mL; TFC = 50 ± 8/kΩ vs 37 ± 7/kΩ, both P < 0.001]. Patients with BNP < 450 pg/mL and TFC < 40/kΩ had a 2.1% 4-year mortality, compared to 46.5% mortality of patients having BNP ≥ 450 pg/mL and TFC ≥ 40/kΩ. BNP ≥ 450 pg/mL and TFC ≥ 40/kΩ showed high sensitivity (91%) and specificity (88%)in identifying patients who died at follow-up.

CONCLUSIONS

The combined use of BNP and impedance cardiography during the first assessment of a patient in a heart failure unit identified those carrying a worse medium-term prognosis. This approach could help the subsequent management of patients, allowing better clinical and therapeutic strategies.