Diagnostic value of parameters derived from planar MUGA for detecting HFpEF in coronary artery disease patients

Qiaozhi Liu1, Shuaishuai Zhou2, Qi Wu3

  • 1Department of Cardiology, Zaozhuang Municipal Hospital, Zaozhuang, 277100, Shandong, China.

Insights

Planar gated blood-pool imaging (MUGA) can diagnose heart failure with preserved ejection fraction (HFpEF) in coronary artery disease patients. Combining peak filling rate (PFR) and peak filling time (TPF) from MUGA offers superior diagnostic value compared to echocardiography.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Techniques

Background:

  • Heart failure with preserved ejection fraction (HFpEF) is increasingly recognized in clinical practice.
  • Coronary atherosclerotic heart disease (CAD) patients often present with complex cardiac conditions.
  • Accurate diagnosis of HFpEF in CAD patients is crucial for effective management.

Purpose of the Study:

  • To evaluate the diagnostic utility of diastolic function parameters derived from planar gated blood-pool imaging (MUGA) for detecting HFpEF.
  • To compare the effectiveness of MUGA-derived parameters with standard echocardiographic assessments in HFpEF diagnosis.
  • To identify optimal MUGA parameters for diagnosing HFpEF in patients with coronary artery disease.

Main Methods:

  • Ninety-seven CAD patients with preserved ejection fraction (≥50%) were analyzed.
  • Patients were categorized into HFpEF (LVEDP ≥ 16 mmHg) and normal diastolic function (LVEDP < 16 mmHg) groups.
  • Diastolic function was assessed using MUGA parameters (PFR, 1/3FF, 1/3FR, MFR, TPF) and echocardiography (LAVI, peak TR velocity, E, e', E/e').

Main Results:

  • MUGA parameters showed significant diagnostic capability for HFpEF.
  • Peak filling rate (PFR) and peak filling time (TPF) from MUGA demonstrated high areas under the curve (AUCs 0.827 and 0.809, respectively).
  • The combination of PFR and TPF yielded the highest AUC (0.856), outperforming individual echocardiographic parameters and their combination.

Conclusions:

  • Diastolic function parameters obtained via planar MUGA are valuable for diagnosing HFpEF in CAD patients.
  • The combined use of PFR and TPF from MUGA offers superior sensitivity and predictive power for HFpEF detection compared to echocardiography.
  • MUGA represents a promising imaging modality for assessing diastolic function and diagnosing HFpEF in this patient population.
Abstract

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