Evidence map›Paper›PMID 42465534›Full record

ArticleFrontiers in cardiovascular medicine2026

Clinical value of perioperative myocardial strain assessment by transesophageal speckle-tracking echocardiography in patients undergoing off-pump coronary artery bypass grafting.

Hongbin Jiang, Yujie Shao, Xiaohan Zhang, Yi Cui, Weizhong Pan

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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hongbin JiangShandong Second Medical University, Weifang, Shandong, China.
Yujie ShaoHangzhou International Innovation Institute, Beihang University, Hangzhou, Zhejiang, China.
Xiaohan ZhangShandong Second Medical University, Weifang, Shandong, China.
Yi CuiShandong Second Medical University, Weifang, Shandong, China.
Weizhong PanDepartment of Anesthesiology, Yantai Yuhuangding Hospital, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the clinical value of perioperative global longitudinal strain (GLS) derived from transesophageal two-dimensional speckle-tracking echocardiography (2D-STI) in predicting biomarker-defined postoperative myocardial injury and early cardiac functional alterations in patients undergoing off-pump coronary artery bypass grafting (OPCABG). Methods: A total of 113 patients scheduled for OPCABG between February 2025 and February 2026 were enrolled. GLS was measured after anesthesia induction (T0), after graft reperfusion and protamine neutralization (T1), and 1.5 h after reperfusion (T2). Δ1 and Δ2 were calculated as T1-T0 and T2-T0. Transit-time flow measurement (TTFM) parameters were recorded after reperfusion. CK-MB, hs-cTnI, BNP, and left ventricular ejection fraction (LVEF) were assessed perioperatively. Patients were classified into high-risk and low-risk groups according to postoperative hs-cTnI thresholds for biomarker-defined myocardial injury. Spearman correlation, repeated-measures ANOVA, multivariable logistic regression, and receiver operating characteristic (ROC) analyses were performed. Results: Of the 113 patients, 47 were classified as high risk and 66 as low risk. Compared with the low-risk group, the high-risk group had significantly lower GLS values at T0, T1, and T2, as well as lower Δ1 and Δ2 values. Among TTFM parameters, only total PI differed significantly between groups. Repeated-measures ANOVA showed significant time, group, and interaction effects for GLS. GLS at all time points was negatively correlated with 48-hour peak CK-MB, hs-cTnI, and BNP, and was also associated with ICU length of stay. In multivariable logistic regression, GLS at T0, T1, and T2 remained independently associated with biomarker-defined postoperative myocardial injury, with odds ratios of 0.319, 0.437, and 0.408, respectively. Both Δ1 and Δ2 also showed independent predictive value, with Δ2 showing a stronger effect. ROC analysis showed that T0 GLS, T2 GLS, and Δ2 had predictive value for biomarker-defined postoperative myocardial injury, with AUCs of 0.885, 0.884, and 0.840, respectively. Conclusion: Perioperative GLS derived from transesophageal 2D-STI, particularly GLS after anesthesia induction, GLS at 1.5 h after graft reperfusion, and their dynamic changes, was associated with hs-cTnI elevation-defined postoperative myocardial injury and early cardiac functional alterations in patients undergoing OPCABG. Compared with TTFM, GLS provides complementary information on myocardial function and may help support intraoperative risk assessment.

Indexed as

coronary artery diseaseoff-pump coronary artery bypass graftingtransesophageal echocardiographytransit-time flow measurementtwo-dimensional speckle tracking imaging

Identifiers

PMID42465534
PMCPMC13372780

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.