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Li Y, Wu L, Zhao R, Gao Y, Bai G, Guo Z, Chen X, Chen Y, Liu T, Li G. New Electrocardiographic Score for Predicting the Site of Coronary Artery Occlusion in Inferior Wall Acute Myocardial Infarction. Int J Gen Med 2024; 17:3211-3220. [PMID: 39070226 PMCID: PMC11278068 DOI: 10.2147/ijgm.s472692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 07/17/2024] [Indexed: 07/30/2024] Open
Abstract
Background An electrocardiogram (ECG) was used to determine the type of acute myocardial infarction (MI) and locate the culprit vessel. Inferior wall myocardial infarction (IWMI) patients with the right coronary artery (RCA) as the culprit vessel may have a worse clinical prognosis than the left circumflex artery (LCx). We aimed to develop a new, simple, accurate scoring system to localize the RCA. Methods From January 2018 to January 2020, patients were admitted to the Department of Cardiology of TEDA International Cardiovascular Hospital and the Second Hospital of Tianjin Medical University due to IWMI and coronary angiography confirmed that the infarct-related vessel was a single RCA or LCx. ECG of patients before percutaneous coronary intervention (PCI) was collected to quantitatively analyze the characteristics of ST-segment deviation in non-inferior wall leads (N-IWL) and establish the RCA score in N-IWL. Results 149 patients were enrolled, including 83 in the RCA group and 66 in the LCx group. Finally, ST-segment depression (ST↓) lead I, aVR, V1, and V6, and ST↓≥ 1mm in lead V4 were found to be associated with the location of the RCA. The sensitivity, specificity, and area under the curve (AUC) of the N-IWL RCA scoring system were 77.1%, 72.7%, and 0.83, respectively. The diagnostic ability of the scoring system was better than that of other algorithms and scoring systems. Conclusion ECG helps identify the RCA in patients with IWMI before PCI. The N-IWL RCA score may help identify the culprit vessel as the RCA in patients with IWMI.
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Affiliation(s)
- Yuqing Li
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
| | - Lei Wu
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
- TEDA International Cardiovascular Hospital, Electrophysiological Department, Tianjin, 300457, People’s Republic of China
| | - Rui Zhao
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
- TEDA International Cardiovascular Hospital, Electrophysiological Department, Tianjin, 300457, People’s Republic of China
| | - Yi Gao
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
| | - Geng Bai
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
| | - Ziqiang Guo
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
| | - Xiaolin Chen
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
| | - Yuanlu Chen
- TEDA International Cardiovascular Hospital, Electrophysiological Department, Tianjin, 300457, People’s Republic of China
| | - Tong Liu
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
| | - Guangping Li
- Tianjin Key Laboratory of Logic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China
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Zhou P, Wu Y, Wang M, Zhao Y, Yu Y, Waresi M, Li H, Jin B, Luo X, Li J. Identifying the culprit artery via 12-lead electrocardiogram in inferior wall ST-segment elevation myocardial infarction: A meta-analysis. Ann Noninvasive Electrocardiol 2023; 28:e13016. [PMID: 36317727 PMCID: PMC9833364 DOI: 10.1111/anec.13016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/09/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Inferior wall ST-segment elevation myocardial infarction (STEMI) is mostly caused by acute occlusion of right coronary artery (RCA) and left circumflex artery (LCX). Several methods and algorithms using 12-lead ECG were developed to localize the lesion in inferior wall STEMI. However, the diagnostic properties of these methods remain under-recognized. AIMS The aim of this meta-analysis is to compare the diagnostic properties among the methods of identifying culprit artery in inferior wall STEMI using 12-lead ECG. METHODS We performed a meta-analysis to calculate the pooled sensitive, specificity, area under the curve (AUC) and diagnostic odds ratio (DOR) of each method. RESULTS Thirty-three studies with 4414 participants were included in the analysis. Methods using double leads had better diagnostic properties, especially ST-segment elevation (STE) in III > II [with pooled sensitivity 0.89 (0.84-0.93), specificity 0.68 (0.57-0.79), DOR 17 (9-32), AUC 0.88 (0.85-0.91)], ST-segment depression (STD) in aVL > I [with pooled sensitivity 0.82 (0.72-0.90), specificity 0.69 (0.48-0.86), DOR 11 (4-29), AUC 0.85 (0.81-0.88)], and STD V3/STE III ≤1.2 [with pooled sensitivity 0.88 (0.78-0.95), specificity 0.59 (0.42-0.75), DOR 12 (5-27), AUC 0.82 (0.78-0.85)]. Diagnostic algorithms, including Jim score[pooled sensitivity 0.70 (0.55-0.85), specificity 0.88 (0.75-0.96)], Fiol's algorithm [pooled sensitivity 0.54 (0.44-0.62), specificity 0.92 (0.88-0.96)] and Tierala's algorithm [pooled sensitivity 0.60 (0.49-0.71), specificity 0.91 (0.86-0.96)], were not superior to these simple methods. CONCLUSIONS Our meta-analysis indicated that diagnostic methods using double leads had better properties. STE in III > II together with STD in aVL > I may be the most ideal method, for its accuracy and convenience.
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Affiliation(s)
- Peng Zhou
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Yingying Wu
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Meng Wang
- Department of Endocrinology and MetabolismHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Yikai Zhao
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Yangjie Yu
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Maieryemu Waresi
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Huiyang Li
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Bo Jin
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Xinping Luo
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
| | - Jian Li
- Department of CardiologyHuashan Hospital, Shanghai Medical College, Fudan UniversityShanghaiChina
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