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Hepatic dysfunction in ambulatory patients with heart failure: application of the MELD scoring system for outcome prediction.

ABSTRACT: This study evaluated the Model for End-Stage Liver Disease (MELD) score and its modified versions, which are established measures of liver dysfunction, as a tool to assess heart transplantation (HTx) urgency in ambulatory patients with heart failure.Liver abnormalities have a prognostic impact on the outcome of patients with advanced heart failure.We retrospectively evaluated 343 patients undergoing HTx evaluation between 2005 and 2009. The prognostic effectiveness of MELD and 2 modifications (MELDNa [includes serum sodium levels] and MELD-XI [does not include international normalized ratio]) for endpoint events, defined as death/HTx/ventricular assist device requirement, was evaluated in our cohort and in subgroups of patients on and off oral anticoagulation.The MELD and MELDNa scores were excellent predictors for 1-year endpoint events (areas under the curve: 0.71 and 0.73, respectively). High scores (>12) were strongly associated with poor survival at 1 year (MELD 69.3% vs. 90.4% [p < 0.0001]; MELDNa 70.4% vs. 96.9% [p < 0.0001]). Increased scores were associated with increased risk for HTx (hazard ratio: 1.10 [95% confidence interval: 1.06 to 1.14]; p < 0.0001 for both scores), which was independent of other known risk factors (MELD p = 0.0055; MELDNa p = 0.0083). Anticoagulant use was associated with poor survival at 1 year (73.7% vs. 86.4%; p = 0.0118), and the statistical significance of MELD/MELDNa was higher in patients not receiving oral anticoagulation therapy. MELD-XI was a fair but limited predictor of the endpoint events in patients receiving oral anticoagulation therapy.Assessment of liver dysfunction according to the MELD scoring system provides additional risk information in ambulatory patients with heart failure.

SUBMITTER: Kim MS

PROVIDER: S-EPMC3939720 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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Hepatic dysfunction in ambulatory patients with heart failure: application of the MELD scoring system for outcome prediction.

Kim Margaret S MS Kato Tomoko S TS Farr Maryjane M Wu Christina C Givens Raymond C RC Collado Ellias E Mancini Donna M DM Schulze P Christian PC

Journal of the American College of Cardiology 20130403 22

<h4>Objectives</h4>This study evaluated the Model for End-Stage Liver Disease (MELD) score and its modified versions, which are established measures of liver dysfunction, as a tool to assess heart transplantation (HTx) urgency in ambulatory patients with heart failure.<h4>Background</h4>Liver abnormalities have a prognostic impact on the outcome of patients with advanced heart failure.<h4>Methods</h4>We retrospectively evaluated 343 patients undergoing HTx evaluation between 2005 and 2009. The p ...[more]

PMID: 23563127

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Project description:Functional and structural liver abnormalities may be found in patients with advanced heart failure (HF). The Model of End-Stage Liver Disease Excluding INR (MELD-XI) score allows functional risk stratification of HF patients on and off anti-coagulation awaiting heart transplantation (HTx), but these scores may improve or worsen depending on bridging therapies and during time on the waiting list. Liver biopsy is sometimes performed to assess for severity of fibrosis. Uncertainty remains whether biopsy in addition to MELD-XI improves prediction of adverse outcomes in patients evaluated for HTx.Sixty-eight patients suspected of advanced liver disease underwent liver biopsy as part of their HTx evaluation. A liver risk score (fibrosis-on-biopsy + 1) × MELD-XI was generated for each patient.Fifty-two patients were listed, of whom 14 had mechanical circulatory support (MCS). Thirty-six patients underwent transplantation and 27 patients survived ?1 year post-HTx (74%, as compared with 88% average 1-year survival in HTx patients without suspected liver disease; p < 0.01). Survivors had a lower liver risk score at evaluation for HTx (31.0 ± 20.4 vs 65.2 ± 28.6, p < 0.01). A cut-point of 45 for liver risk score was identified by receiver-operating-characteristic (ROC) analysis. In the analysis using Cox proportional hazards models, a liver risk score ?45 at evaluation for HTx was associated with greater risk of death at 1 year post-HTx compared with a score of <45 in both univariable (HR 3.94, 95% CI 1.77-8.79, p < 0.001) and multivariable (HR 4.35, 95% CI 1.77-8.79, p < 0.001) analyses. Patients who died <1 year post-HTx had an increased frequency of acute graft dysfunction (44.4% vs 3.7%, p = 0.009), longer ventilation times (55.6% vs 11.1%, p = 0.013) and severe bleeding events (44.4% vs 11.1%, p = 0.049). The liver risk score at evaluation for HTx also predicted 1-year mortality after HTx listing (p < 0.001).Patients with HF and advanced liver dysfunction are high-risk HTx candidates. Liver biopsy in addition to MELD-XI improves risk stratification of patients with advanced HF and suspected irreversible liver dysfunction.

Project description:AimThe severity of cardiac impairment in acute heart failure (AHF) predicts outcome, but challenges remain to identify prognostically important non-invasive parameters of cardiac function. Left ventricular ejection fraction (LVEF) is relevant, but only in those with reduced LV systolic function. We aimed to assess the standard and advanced parameters of left and right ventricular (RV) function from echocardiography in predicting long-term outcomes in AHF.MethodsA total of 418 consecutive AHF patients presenting over 12 months were prospectively recruited and underwent bedside echocardiography within 24 h of recruitment. We retrospectively assessed 8 RV and 5 LV echo parameters of the cardiac systolic function to predict 2-year mortality, using both guideline-directed and study-specific cutoffs, based on the maximum Youden indices via ROC analysis. For the RV, these were the tricuspid annular plane systolic excursion, RV fractional area change, tissue Doppler imaging (TDI) peak tricuspid annular systolic wave velocity, both peak- and end-systolic RV free wall global longitudinal strain (RV GLS) and strain rate (mean RV GLSR), RV ejection fraction (RVEF) derived from a 2D ellipsoid model and the ratio of the TAPSE to systolic pulmonary artery pressure (SPAP). For the LV, these were the LVEF, mitral regurgitant ΔP/Δt (MR dP/dt), the lateral mitral annular TDI peak systolic wave velocity, LV GLS, and the LV GLSR.ResultsA total of 7/8 parameters of RV systolic function were predictive of 2-year outcome, with study cutoffs like international guidelines. A cutoff of < -1.8 s-1 mean RV GLSR was associated with worse outcome compared to > -1.8 s-1 [HR 2.13 95% CI 1.33-3.40 (p = 0.002)]. TAPSE:SPAP of > 0.027 cm/mmHg (vs. < 0.027 cm/mmHg) predicted worse outcome [HR 2.12 95% CI 1.53-2.92 (p < 0.001)]. A 3-way comparison of 2-year mortality by LVEF from the European Society of Cardiology (ESC) guideline criteria of LVEF > 50, 41-49, and < 40% was not prognostic [38.6% vs. 30.9 vs. 43.9% (p = 0.10)]. Of the 5 parameters of LV systolic function, only an MR dP/dt cutoff of < 570 mmHg was predictive of adverse outcome [HR 1.63 95% CI 1.01-2.62 (p = 0.047)].ConclusionWith cutoffs broadly like the ESC guidelines, we identified RV dysfunction to be associated with adverse prognosis, whereas LVEF could not identify patients at risk.

Project description:AimsWe investigated whether addition of diastolic dysfunction (DD) and longitudinal strain (LS) to Stage B heart failure (SBHF) criteria (structural or systolic abnormality) improves prediction of symptomatic HF in participants of the SCReening Evaluation of the Evolution of New Heart Failure study, a self-selected population at increased cardiovascular disease risk recruited from members of a health insurance fund in Melbourne and Shepparton, Australia. Both American Society of Echocardiography and European Association of Cardiovascular Imaging (ASE/EACVI) criteria and age-specific Atherosclerosis Risk in Communities (ARIC) study criteria, for SBHF and DD, and ARIC criteria for abnormal LS, were examined.Methods and resultsInclusion criteria were age ≥60 years with one or more of self-reported ischaemic or other heart disease, irregular or rapid heart rhythm, cerebrovascular disease, renal impairment, or treatment for hypertension or diabetes for ≥2 years. Exclusion criteria were known HF, or ejection fraction <50% or >mild valve abnormality detected on previous echocardiography or other imaging. Echocardiography was performed in 3190 participants who were followed for a median of 3.9 (interquartile range: 3.4, 4.5) years after echocardiography. Symptomatic HF was diagnosed in 139 participants at a median of 3.1 (interquartile range: 2.1, 3.9) years after echocardiography. ARIC structural, systolic, and diastolic abnormalities predicted HF in univariate and multivariable proportional hazards analyses, whereas ASE/EACVI structural and systolic, but not diastolic, abnormalities predicted HF. ARIC and ASE/EACVI SBHF criteria predicted HF with sensitivities of 81% and 55%, specificities of 39% and 76%, and C statistics of 0.60 (95% confidence interval: 0.57, 0.64) and 0.66 (0.61, 0.71), respectively. Adding ARIC DD to SBHF increased sensitivity to 94% with specificity of 24% and C statistic of 0.59 (0.57, 0.61), whereas addition of ASE/EACVI DD to SBHF increased sensitivity to 97% but reduced specificity to 9% and the C statistic to 0.52 (0.50, 0.54, P < 0.0001). Addition of LS to ARIC or ASE/EACVI SBHF criteria had minimal impact on prediction of HF.ConclusionsAge-specific ARIC DD criteria, but not ASE/EACVI DD criteria, predicted symptomatic HF, and addition of age-specific ARIC DD criteria to ARIC SBHF criteria improved prediction of symptomatic HF in asymptomatic individuals with cardiovascular disease risk factors. Addition of LS to ASE/EACVI or ARIC SBHF criteria did not improve prediction of symptomatic HF.

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Hepatic dysfunction in ambulatory patients with heart failure: application of the MELD scoring system for outcome prediction.

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Hepatic dysfunction in ambulatory patients with heart failure: application of the MELD scoring system for outcome prediction.

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