Abstract 4368642: Progressive Myocardial Flow Reserve Impairment Across Cardio-Kidney-Metabolic Syndrome Stages Predicts Cardiovascular Risk: Insights from Cardiac PET

Background: Cardio-Kidney-Metabolic (CKM) Syndrome represents a progressive multisystem disorder associated with increasing cardiovascular risk. However, the evolution of coronary microvascular dysfunction across CKM stages and the prognostic value of myocardial flow reserve (MFR) within the CKM construct remain incompletely understood. Hypothesis: Stress myocardial blood flow (MBF) and MFR, as measured by 82 Rb PET/CT, progressively decline with advancing CKM stage. Abnormal MFR remains independently predictive of adverse cardiovascular outcomes. Methods: We retrospectively analyzed 5,749 total patients who underwent rest/stress cardiac 82 Rb PET/CT at our institution between 2016 and 2022. Patients were then defined as having CKM stages 0–4 according to AHA criteria. MFR was calculated as the ratio of stress to rest MBF. Comparisons of stress MBF and MFR across CKM stages were performed using ANOVA. Reduced stress MBF was defined as <1.8 mL/g/min and abnormal MFR as <2.0. Associations between CKM stage, abnormal MFR, and clinical outcomes were evaluated using unadjusted (CKM 0–4) and multivariable-adjusted (CKM 0–4, age, sex, abnormal MFR) Cox regression models. The co-primary endpoints were major adverse cardiovascular events (MACE: death, myocardial infarction, stroke, or revascularization) and heart failure or death (HF/Death). Results: Among 5,624 CKM patients (median age 54 years [IQR 55–73]; 52% women), 1,178 MACE and 1,329 HF/Death events occurred over a median follow-up of 3.9 years (IQR 2.4–5.6). Distribution across CKM stages 0 to 4 was: 47 (0.8%), 191 (3.4%), 849 (15.1%), 1,469 (26.1%), and 3,068 (54.6%), respectively. Rest MBF, stress MBF, and MFR progressively declined with advancing CKM stage (p for trend <0.001), and the prevalence of abnormal MFR increased (p for trend <0.001; Table 1). CKM stage 4 and abnormal MFR were independently associated with higher risk of MACE and HF/Death (Table 2), with event rates rising across the CKM spectrum (Figure 1). Abnormal MFR discriminated high-risk populations within each CKM stage, even in early (0 or 1) stages of CKM (Figure 1). Conclusions: CKM Syndrome is associated with worsening coronary microvascular function as reflected by PET-derived MBF and MFR. Abnormal MFR provides additional prognostic discrimination across all CKM stages and may help identify patients at particularly high cardiovascular risk.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4368642
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4368642: Progressive Myocardial Flow Reserve Impairment Across Cardio-Kidney-Metabolic Syndrome Stages Predicts Cardiovascular Risk: Insights from Cardiac PET

Allêh Nogueira, Attila Fehér, Albert J. Sinusas, Filipe A. Moura et al.
Circulation
Cardiac Imaging and Diagnostics
article

Abstract 4368642: Progressive Myocardial Flow Reserve Impairment Across Cardio-Kidney-Metabolic Syndrome Stages Predicts Cardiovascular Risk: Insights from Cardiac PET

Allêh Nogueira, Attila Fehér, Albert J. Sinusas, Filipe A. Moura, André Zimerman, Andrei C. Spósito, Joaquim Barreto, Edward Alan Miller
article en

Abstract

Background: Cardio-Kidney-Metabolic (CKM) Syndrome represents a progressive multisystem disorder associated with increasing cardiovascular risk. However, the evolution of coronary microvascular dysfunction across CKM stages and the prognostic value of myocardial flow reserve (MFR) within the CKM construct remain incompletely understood. Hypothesis: Stress myocardial blood flow (MBF) and MFR, as measured by 82 Rb PET/CT, progressively decline with advancing CKM stage. Abnormal MFR remains independently predictive of adverse cardiovascular outcomes. Methods: We retrospectively analyzed 5,749 total patients who underwent rest/stress cardiac 82 Rb PET/CT at our institution between 2016 and 2022. Patients were then defined as having CKM stages 0–4 according to AHA criteria. MFR was calculated as the ratio of stress to rest MBF. Comparisons of stress MBF and MFR across CKM stages were performed using ANOVA. Reduced stress MBF was defined as <1.8 mL/g/min and abnormal MFR as <2.0. Associations between CKM stage, abnormal MFR, and clinical outcomes were evaluated using unadjusted (CKM 0–4) and multivariable-adjusted (CKM 0–4, age, sex, abnormal MFR) Cox regression models. The co-primary endpoints were major adverse cardiovascular events (MACE: death, myocardial infarction, stroke, or revascularization) and heart failure or death (HF/Death). Results: Among 5,624 CKM patients (median age 54 years [IQR 55–73]; 52% women), 1,178 MACE and 1,329 HF/Death events occurred over a median follow-up of 3.9 years (IQR 2.4–5.6). Distribution across CKM stages 0 to 4 was: 47 (0.8%), 191 (3.4%), 849 (15.1%), 1,469 (26.1%), and 3,068 (54.6%), respectively. Rest MBF, stress MBF, and MFR progressively declined with advancing CKM stage (p for trend <0.001), and the prevalence of abnormal MFR increased (p for trend <0.001; Table 1). CKM stage 4 and abnormal MFR were independently associated with higher risk of MACE and HF/Death (Table 2), with event rates rising across the CKM spectrum (Figure 1). Abnormal MFR discriminated high-risk populations within each CKM stage, even in early (0 or 1) stages of CKM (Figure 1). Conclusions: CKM Syndrome is associated with worsening coronary microvascular function as reflected by PET-derived MBF and MFR. Abnormal MFR provides additional prognostic discrimination across all CKM stages and may help identify patients at particularly high cardiovascular risk.

CirculationVol. 152(Suppl_3)
Brigham and Women's Hospital (US), Universidade Federal do Rio Grande do Sul (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Yale University (US)
Openalex Percentile: Top 53%
Cardiac Imaging and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.