Background: The MAGGIC risk score has been validated to predict mortality in patients with heart failure (HF).
Objectives: To assess the score ability to predict hospitalization and death and to compare with natriuretic peptides.
Methods: Ninety-three consecutive patients (mean age 62±10 years) with chronic HF and left ventricular ejection fraction (EF) <50% were studied. The MAGGIC score was applied at baseline and the patients were followed for 219±86 days. MAGGIC score was compared with NT-proBNP in the prediction of events. The primary end point was the time to the first event, which was defined as cardiovascular death or hospitalization for HF.
Results: There were 23 (24.7%) events (3 deaths and 20 hospitalizations). The median score in patients with and without events was, respectively, 20 [interquartile range 14.2-22] vs. 15.5 [11/21], p=0.16. A ROC curve was performed and a cutoff point of 12 points showed a sensitivity of 87% and specificity of 37% with an area under the curve of 0.59 (95% CI 0.48-0.69) which was lower than that of NT-proBNP (AUC 0.67; 95% CI 0.56-0.76). The mean event-free survival time for patients above and below this cutpoint was 248.8±13 vs. 290±13.7 days (log rank test with p=0.044). Using the COX proportional hazard model, age (p=0.004), NT-proBNP >1000 pg/mL (p=0.014) and the MAGGIC score (p=0.025) were independently associated with the primary outcome.
Conclusion: The MAGGIC risk score was an independent predictor of events, including heart failure hospitalization. The addition of biomarkers improved the accuracy of the score.
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http://dx.doi.org/10.1016/j.repc.2021.07.015 | DOI Listing |
Cardiovasc Diabetol
January 2025
Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, NanBai Xiang Avenue, Ouhai District, Wenzhou, 325000, China.
Background: Insulin resistance (IR) plays a pivotal role in the interplay between metabolic disorders and heart failure with preserved ejection fraction (HFpEF). Various non-insulin-based indices emerge as reliable surrogate markers for assessing IR, including the triglyceride-glucose (TyG) index, the TyG index with body mass index (TyG-BMI), atherogenic index of plasma (AIP), and the metabolic score for insulin resistance (METS-IR). However, the ability of different IR indices to predict outcome in HFpEF patients has not been extensively explored.
View Article and Find Full Text PDFEur J Heart Fail
January 2025
Institute of Cardiology, ASST Spedali Civili, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Aims: Accurate selection of patients with severe heart failure (HF) who might benefit from advanced therapies is crucial. The present study investigates the performance of the available risk scores aimed at predicting the risk of mortality in patients with severe HF.
Methods And Results: The risk of 1-year mortality was estimated in patients with severe HF enrolled in the HELP-HF cohort according to the MAGGIC, 3-CHF, ADHF/NT-proBNP, and GWTG-HF risk scores, the number of criteria of the 2018 HFA-ESC definition of advanced HF, I NEED HELP markers, domains fulfilled of the 2019 HFA-ESC definition of frailty, the frailty index, and the INTERMACS profile.
Background: Growth differentiation factor 15 (GDF15) is a cytokine responding to oxidative stress and inflammation, and it regulates appetite and energy balance. The association between GDF15 and clinical factors and its prognostic value in elderly multimorbid patients with heart failure with preserved ejection fraction (HFpEF) have not been well unknown.
Methods: This exploratory analysis is part of the Prospective mUlticenteR obServational stUdy of patIenTs with Heart Failure with preserved Ejection Fraction study (N=1231), an ongoing, prospective, multicentre observational study of acute decompensated HFpEF (UMIN000021831).
J Card Fail
January 2025
Veterans Affairs Palo Alto Health Care System, Palo Alto, CA; Division of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Background: Guidelines recommend timely follow-up with a cardiology specialist for patients hospitalized with heart failure (HF), but it is unknown whether the timeliness of specialty cardiovascular care post-discharge correlates with clinical risk.
Objective: Assess the association between estimated mortality risk and post-HF hospitalization cardiology follow-up.
Methods: In a cohort of Veterans hospitalized with HF in acute care VA hospitals between 1/1/2018 and 9/15/2022, we estimated the association of mortality risk at discharge with post-discharge cardiology encounters via logistic regression.
JACC Adv
December 2024
Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Background: Frailty is a known determinant of poor clinical outcomes in heart failure with preserved ejection fraction (HFpEF). However, prevalence estimates and effect sizes vary in part due to multiple tools available to measure frailty.
Objectives: This study aimed to compare the prevalence and prognostic value of six commonly used frailty assessments in adults with HFpEF.
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