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Combining body mass index with waist circumference to assess coronary microvascular function in patients with non-obstructive coronary artery disease

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Assessing CMD with

Combining body mass index with waist circumference to assess coronary microvascular function in patients with

non-obstructive coronary artery disease

Ruonan Wang, Xiang Li, Shihao Huangfu, Qi Yao, Ping Wu, Zhifang Wu, Li Li, Yuetao Wang, Minfu Yang, Marcus Hacker, Haitao Zhou, Rui Yan, Sijin Li

Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China

Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria

Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Taiyuan, China

Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China

Department of Nuclear Medicine, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, China

Key Laboratory of Cellular Physiology, Shanxi Medical University, Ministry of Education

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BACKGROUND

1-Coronary microvascular dysfunction (CMD) may precede clinically overt coronary artery disease (CAD).

2- Overall and central obesity (CO) are major risk factors for CAD.

3-This study sought to investigate the subclinical

significance of body adiposity patterns based on the CMD

risk.

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METHODS

A. Study type: Prospective

B. Study subjects: A total of 128 patients with non- obstructive CAD were prospectively enrolled.

C. Study endpoints: rest/stress electrocardiography-gated

13

N-ammonia positron emission tomography

D. Study variables: absolute myocardial blood flow ,

myocardial flow reserve, hemodynamic parameters, and

cardiac function

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RESULTS

Figure 1. Myocardial blood flow (MBF) and myocardial flow reserve and (MFR )

The figure presents MBF at rest (A), and during hyperemic flow stimulation (B), as well as the corresponding MFR (C) in the four study groups. Besides, the figure also presents the distributions of hyperemic MBF and MFR by both BMI and WC as continuous variables (D). Patients with CO had lower hyperemic MBF and MFR. Both hyperemic MBF and MFR were lowest in the NWCO group.

*Compared with NWNCO, P<0.05.

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RESULTS

Figure 3. Effect of different adiposity patterns on coronary microvascular dysfunction (CMD).

The figure presents the crude prevalence rate of CMD in the four groups (A) as well as the connection of different adiposity patterns with CMD risk (B). Patients with NWCO had the highest prevalence and risk of CMD.

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CONCLUSIONS

1- CO may be associated with decreased coronary microvascular function in patients with non-obstructive CAD, with the highest level of CMD risk observed among patients with NWCO.

2- Hyperemic MBF and MFR could facilitate the clinical

management of non-obstructive CAD patients.

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