Sanda Kolenda Zloić , João Martins da Fonseca , Chukwudi Isaac Ayogu , Karabo Kago Marole , Guilherme Strieder de Oliveira , Marco Aurélio Soato Ratti
{"title":"特征追踪对PCI治疗急性心肌梗死患者左心室应变预后的影响:一项荟萃分析","authors":"Sanda Kolenda Zloić , João Martins da Fonseca , Chukwudi Isaac Ayogu , Karabo Kago Marole , Guilherme Strieder de Oliveira , Marco Aurélio Soato Ratti","doi":"10.1016/j.clinimag.2025.110514","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>To perform a meta-analysis to evaluate the prognostic value of feature tracking (FT)-derived left ventricular (LV) strain parameters in patients following acute myocardial infarction (AMI).</div></div><div><h3>Materials and methods</h3><div>We conducted a comprehensive search of PubMed, Embase, and the Cochrane library for studies published between January 2000 and July 2024, evaluating the prognostic value of FT-derived LV strain parameters in predicting major adverse cardiovascular events (MACE) in patients following AMI. We included studies of patients who underwent cardiac magnetic resonance feature tracking analysis following reperfusion by percutaneous coronary intervention (PCI), as well as reporting multivariate analyses of global longitudinal strain (GLS) or global circumferential strain (GCS). Using RStudio, we calculated pooled hazard ratios (HR) with 95 % confidence intervals (CI) using random-effects models and evaluated heterogeneity with I<sup>2</sup> statistics.</div></div><div><h3>Results</h3><div>Nine studies involving 3651 patients were included. Seven studies focused on GLS, while five evaluated GCS in relation to MACE. The meta-analysis revealed a significant association between GLS and MACE occurrence (HR 1.15; 95 % CI: 1.07–1.23; I<sup>2</sup> = 76 %; <em>p</em> ≤ 0.0001). For GCS, the pooled HR was 1.11 (95 % CI: 1.04–1.19; I<sup>2</sup> = 50 %; <em>p</em> = 0.0024). However, a leave-one-out sensitivity analysis showed that the prognostic effect of GCS was not robust, as the pooled HR adjusted to 1.09 (95 % CI: 1.00–1.19).</div></div><div><h3>Conclusion</h3><div>GLS was identified as a sensitive marker of early myocardial injury with incremental prognostic value, potentially enhancing risk stratification for post-AMI patients. Conversely, GCS did not demonstrate a significant prognostic effect.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"124 ","pages":"Article 110514"},"PeriodicalIF":1.5000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic impact of left ventricular strain by feature tracking in acute myocardial infarction treated with PCI: A meta-analysis\",\"authors\":\"Sanda Kolenda Zloić , João Martins da Fonseca , Chukwudi Isaac Ayogu , Karabo Kago Marole , Guilherme Strieder de Oliveira , Marco Aurélio Soato Ratti\",\"doi\":\"10.1016/j.clinimag.2025.110514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>To perform a meta-analysis to evaluate the prognostic value of feature tracking (FT)-derived left ventricular (LV) strain parameters in patients following acute myocardial infarction (AMI).</div></div><div><h3>Materials and methods</h3><div>We conducted a comprehensive search of PubMed, Embase, and the Cochrane library for studies published between January 2000 and July 2024, evaluating the prognostic value of FT-derived LV strain parameters in predicting major adverse cardiovascular events (MACE) in patients following AMI. We included studies of patients who underwent cardiac magnetic resonance feature tracking analysis following reperfusion by percutaneous coronary intervention (PCI), as well as reporting multivariate analyses of global longitudinal strain (GLS) or global circumferential strain (GCS). Using RStudio, we calculated pooled hazard ratios (HR) with 95 % confidence intervals (CI) using random-effects models and evaluated heterogeneity with I<sup>2</sup> statistics.</div></div><div><h3>Results</h3><div>Nine studies involving 3651 patients were included. Seven studies focused on GLS, while five evaluated GCS in relation to MACE. The meta-analysis revealed a significant association between GLS and MACE occurrence (HR 1.15; 95 % CI: 1.07–1.23; I<sup>2</sup> = 76 %; <em>p</em> ≤ 0.0001). For GCS, the pooled HR was 1.11 (95 % CI: 1.04–1.19; I<sup>2</sup> = 50 %; <em>p</em> = 0.0024). However, a leave-one-out sensitivity analysis showed that the prognostic effect of GCS was not robust, as the pooled HR adjusted to 1.09 (95 % CI: 1.00–1.19).</div></div><div><h3>Conclusion</h3><div>GLS was identified as a sensitive marker of early myocardial injury with incremental prognostic value, potentially enhancing risk stratification for post-AMI patients. Conversely, GCS did not demonstrate a significant prognostic effect.</div></div>\",\"PeriodicalId\":50680,\"journal\":{\"name\":\"Clinical Imaging\",\"volume\":\"124 \",\"pages\":\"Article 110514\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0899707125001147\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899707125001147","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Prognostic impact of left ventricular strain by feature tracking in acute myocardial infarction treated with PCI: A meta-analysis
Purpose
To perform a meta-analysis to evaluate the prognostic value of feature tracking (FT)-derived left ventricular (LV) strain parameters in patients following acute myocardial infarction (AMI).
Materials and methods
We conducted a comprehensive search of PubMed, Embase, and the Cochrane library for studies published between January 2000 and July 2024, evaluating the prognostic value of FT-derived LV strain parameters in predicting major adverse cardiovascular events (MACE) in patients following AMI. We included studies of patients who underwent cardiac magnetic resonance feature tracking analysis following reperfusion by percutaneous coronary intervention (PCI), as well as reporting multivariate analyses of global longitudinal strain (GLS) or global circumferential strain (GCS). Using RStudio, we calculated pooled hazard ratios (HR) with 95 % confidence intervals (CI) using random-effects models and evaluated heterogeneity with I2 statistics.
Results
Nine studies involving 3651 patients were included. Seven studies focused on GLS, while five evaluated GCS in relation to MACE. The meta-analysis revealed a significant association between GLS and MACE occurrence (HR 1.15; 95 % CI: 1.07–1.23; I2 = 76 %; p ≤ 0.0001). For GCS, the pooled HR was 1.11 (95 % CI: 1.04–1.19; I2 = 50 %; p = 0.0024). However, a leave-one-out sensitivity analysis showed that the prognostic effect of GCS was not robust, as the pooled HR adjusted to 1.09 (95 % CI: 1.00–1.19).
Conclusion
GLS was identified as a sensitive marker of early myocardial injury with incremental prognostic value, potentially enhancing risk stratification for post-AMI patients. Conversely, GCS did not demonstrate a significant prognostic effect.
期刊介绍:
The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include:
-Body Imaging-
Breast Imaging-
Cardiothoracic Imaging-
Imaging Physics and Informatics-
Molecular Imaging and Nuclear Medicine-
Musculoskeletal and Emergency Imaging-
Neuroradiology-
Practice, Policy & Education-
Pediatric Imaging-
Vascular and Interventional Radiology