Zhang, Han; Shi, Kuangyu; Fei, Mengyu; Fan, Xin; Liu, Lu; Xu, Chong; Qin, Shanshan; Zhang, Jiajia; Wang, Junpeng; Zhang, Yu; Lv, Zhongwei; Che, Wenliang; Yu, Fei (2022). A Left Ventricular Mechanical Dyssynchrony-Based Nomogram for Predicting Major Adverse Cardiac Events Risk in Patients With Ischemia and No Obstructive Coronary Artery Disease. Frontiers in cardiovascular medicine, 9, p. 827231. Frontiers 10.3389/fcvm.2022.827231
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Background
The risk stratification of patients with ischemia and no obstructive coronary artery disease (INOCA) remains suboptimal. This study aims to establish a left ventricular mechanical dyssynchrony (LVMD)-based nomogram to improve the present situation.
Methods
Patients with suspected coronary artery disease (CAD) were retrospectively enrolled and divided into three groups: normal (stenosis <50%, without myocardial ischemia), INOCA (stenosis <50%, summed stress score >4, summed difference score ≥2), and obstructive CAD (stenosis ≥50%). LVMD was defined by ROC analysis. INOCA group were followed up for the occurrence of major adverse cardiac events (MACEs: cardiovascular death, non-fatal myocardial infarction, revascularization, stroke, heart failure, and hospitalization for unstable angina). Nomogram was established using multivariate Cox regression analysis.
Results
Among 334 patients (118 [35.3%] INOCA), LVMD parameters were significantly higher in INOCA group versus normal group but they did not differ between obstructive CAD groups. In INOCA group, 27 (22.9%) MACEs occurred during a 26-month median follow-up. Proportion of LVMD was significantly higher with MACEs under both stress (63.0% vs. 22.0%, P < 0.001) and rest (51.9% vs. 20.9%, P = 0.002). Kaplan-Meier analysis revealed significantly higher rate of MACEs (stress log-rank: P = 0.002; rest log-rank: P < 0.001) in LVMD patients. Multivariate Cox regression analysis showed that stress LVMD (HR: 3.82; 95% CI: 1.30-11.20; P = 0.015) was an independent predictor of MACEs. The internal bootstrap resampling approach indicates that the C-index of nomogram was 0.80 (95% CI: 0.71-0.89) and the AUC values for 1 and 3 years of risk prediction were 0.68 (95% CI: 0.46-0.89) and 0.84 (95% CI: 0.72-0.95), respectively.
Conclusion
LVMD-based nomogram might provide incremental prognostic value and improve the risk stratification in INOCA patients.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Clinic of Nuclear Medicine |
UniBE Contributor: |
Shi, Kuangyu |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2297-055X |
Publisher: |
Frontiers |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
05 Apr 2022 11:13 |
Last Modified: |
05 Dec 2022 16:18 |
Publisher DOI: |
10.3389/fcvm.2022.827231 |
PubMed ID: |
35369339 |
Uncontrolled Keywords: |
D-SPECT INOCA LVMD nomogram predict |
BORIS DOI: |
10.48350/169017 |
URI: |
https://boris.unibe.ch/id/eprint/169017 |