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A multiparametric clinical and echocardiographic score to risk stratify patients with chronic systolic heart failure:
Paolo Fontanive1, Mario Miccoli, Anca Simioniuc
1Cardiovascular Diseases Unit 2, Cisanello Hospital, Pisa, Italy.
Insights
A new multiparametric score effectively predicts mortality in chronic heart failure (HF) patients using clinical data, echo Doppler, NT-proBNP, and eGFR. This tool aids in assessing risk for patients with reduced ejection fraction.
Area of Science:
- Cardiology
- Heart Failure Research
- Prognostic Modeling
Background:
- Echocardiography (echo Doppler) and biomarkers like NT-proBNP are common in heart failure (HF) but underutilized in risk scores.
- Current risk stratification for chronic HF often overlooks key clinical, echocardiographic, and biomarker data.
Purpose of the Study:
- To develop and validate a multiparametric score for predicting all-cause mortality in outpatients with chronic systolic heart failure (LVEF ≤45%).
- To integrate clinical status, echo Doppler variables, NT-proBNP, eGFR, and drug therapies into a novel prognostic tool.
Main Methods:
- A derivation cohort (250 patients) and a testing cohort (388 patients) with chronic systolic HF were analyzed.
- Data included clinical status, echo Doppler (e.g., TAPSE, LVEDVi, MR), NT-proBNP, eGFR, and medications (e.g., furosemide, ACE inhibitors, beta-blockers).
- A multivariable Cox model identified predictors, and a scoring system was derived based on odds ratios.
Main Results:
- The multiparametric score integrated factors like furosemide dose, age, NT-proBNP, LVEDVi, TAPSE, medication intolerance, NYHA class, eGFR, MR, and LVEF.
- The score demonstrated good predictive performance in both derivation (AUC 78.7%) and testing cohorts (AUC 77.2%).
- All-cause mortality significantly increased with higher scores in both cohorts (P < 0.0001).
Conclusions:
- This novel multiparametric score accurately predicts all-cause mortality in patients with chronic systolic heart failure.
- The score offers a valuable tool for risk stratification by incorporating diverse clinical and diagnostic parameters.
- Integration of echo Doppler and biomarkers into risk assessment can improve prognostic accuracy in heart failure management.
Abstract:
Although echo Doppler and biomarkers are the most common examinations performed worldwide in heart failure (HF), they are rarely considered in risk scores. In outpatients with chronic HF and left ventricular ejection fraction (LVEF) ≤45%, data on clinical status, echo Doppler variables, aminoterminal pro-type B natriuretic peptide (NT-proBNP), estimated glomerular filtration rate (eGFR), and drug therapies were combined to build up a multiparametric score. We randomly selected 250 patients to produce a derivation cohort and 388 patients were used as a testing cohort. Follow-up lasted 29 ± 23 months. The univariable predictors that entered into the multivariable Cox model were as follows: furosemide daily dose >25 mg, inability to tolerate angiotensin converting enzyme (ACE) inhibitors, inability to tolerate β-blockers, age >75 years, New York Heart Association (NYHA) >2, eGFR<60 mL/min, NT-proBNP plasma levels above the median, tricuspid plane systolic excursion (TAPSE) ≤14 mm, LV end-diastolic volume index (LVEDVi) >96 mL/m(2) , moderate-to-severe mitral regurgitation (MR) and LVEF <30%. The scores of prognostic factors were obtained with the respective odds ratio divided by the lower odd ratio: 4 points for furosemide dose, 3 points for age, NT-proBNP, LVEDVi, TAPSE, 2 points for inability to tolerate β-blockers, inability to tolerate ACE inhibitors, NYHA, eGFR<60 mL/min, moderate-to-severe MR, 1 point for LVEF. The multiparametric score predicted all-cause mortality either in the derivation cohort (68.4% sensitivity, 79.5% specificity, area under the curve [AUC] 78.7%) or in the testing cohort (73.7% sensitivity, 71.3% specificity, AUC 77.2%). All-cause mortality significantly increased with increasing score both in the derivation and in the testing cohort (P < 0.0001). In conclusion, this multiparametric score is able to predict mortality in chronic systolic HF.
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