MRI Investigation of the Differential Impact of Left Ventricular Ejection Fraction After Myocardial Infarction in Elderly vs. Nonelderly Patients to Predict Readmission for Heart Failure

Other authors

Institut Català de la Salut

[Marcos-Garcés V, Merenciano-González H, Gabaldón-Pérez A] epartment of Cardiology, Hospital Clínico Universitario de Valencia, Valencia, Spain. INCLIVA Health Research Institute, Valencia, Spain. [Gavara J] INCLIVA Health Research Institute, Valencia, Spain. Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain. [López-Lereu MP, Monmeneu JV] Cardiovascular Magnetic Resonance Unit, ASCIRES Biomedical Group, Valencia, Spain. [Valente F, Alonso Tello A, Maymí-Ballesteros M, Rello-Sabaté P] Servei de Cardiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Rodríguez-Palomares JF] Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain. Servei de Cardiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2023-10-27T10:42:55Z

2023-10-27T10:42:55Z

2023-11



Abstract

Acute heart failure; Acute myocardial infarction; Elderly


Insuficiència cardíaca aguda; Infart agut de miocardi; Gent gran


Insuficiencia cardíaca aguda; Infarto agudo de miocardio; Anciano


Background Patients with ST-segment elevation myocardial infarction (STEMI), especially elderly individuals, have an increased risk of readmission for acute heart failure (AHF). Purpose To study the impact of left ventricular ejection fraction (LVEF) by MRI to predict AHF in elderly (>70 years) and nonelderly patients after STEMI. Study Type Prospective. Population Multicenter registry of 759 reperfused STEMI patients (23.3% elderly). Field Strength/Sequence 1.5-T. Balanced steady-state free precession (cine imaging) and segmented inversion recovery steady-state free precession (late gadolinium enhancement) sequences. Assessment One-week MRI-derived LVEF (%) was quantified. Sequential MRI data were recorded in 579 patients. Patients were categorized according to their MRI-derived LVEF as preserved (p-LVEF, ≥50%), mildly reduced (mr-LVEF, 41%–49%), or reduced (r-LVEF, ≤40%). Median follow-up was 5 [2.33–7.54] years. Statistical Tests Univariable (Student's t, Mann–Whitney U, chi-square, and Fisher's exact tests) and multivariable (Cox proportional hazard regression) comparisons and continuous-time multistate Markov model to analyze transitions between LVEF categories and to AHF. Hazard ratios (HR) with 95% confidence intervals (CIs) were computed. P < 0.05 was considered statistically significant. Results Over the follow-up period, 79 (10.4%) patients presented AHF. MRI-LVEF was the most robust predictor in nonelderly (HR 0.94 [0.91–0.98]) and elderly patients (HR 0.94 [0.91–0.97]). Elderly patients had an increased AHF risk across the LVEF spectrum. An excess of risk (compared to p-LVEF) was noted in patients with r-LVEF both in nonelderly (HR 11.25 [5.67–22.32]) and elderly patients (HR 7.55 [3.29–17.34]). However, the mr-LVEF category was associated with increased AHF risk only in elderly patients (HR 3.66 [1.54–8.68]). Less transitions to higher LVEF states (n = 19, 30.2% vs. n = 98, 53%) and more transitions to AHF state (n = 34, 53.9% vs. n = 45, 24.3%) were observed in elderly than nonelderly patients. Data Conclusion MRI-derived p-LVEF confers a favorable prognosis and r-LVEF identifies individuals at the highest risk of AHF in both elderly and nonelderly patients. Nevertheless, an excess of risk was also found in the mr-LVEF category in the elderly group. Evidence Level 2. Technical Efficacy Stage 2.


Grant sponsor: This work was supported by “Instituto de Salud Carlos III” and “Fondos Europeos de Desarrollo Regional FEDER” (grant numbers PI20/00637, PI15/00531, and CIBERCV16/11/00486, CIBERCV16/11/00420, CIBERCV16/11/00479, and CM21/00175 to V.M.-G.), Fundació La Marató TV3 (grant 20153030-31-32), La Caixa Banking Foundation (HR17-00527) and by Conselleria de Educación – Generalitat Valenciana (PROMETEO/2021/008). J.G. acknowledges financial support from the “Agencia Estatal de Investigación” (grant FJC2020-043981-I/AEI/10.13039/501100011033).

Document Type

Article


Published version

Language

English

Publisher

Wiley

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Attribution-NonCommercial-NoDerivatives 4.0 International

http://creativecommons.org/licenses/by-nc-nd/4.0/

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