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Background <p>Right ventricular (RV) dysfunction is a critical predictor of adverse outcomes in cardiac surgery patients. The assessment of right ventricular global longitudinal strain (GLS) echo has emerged as a promising tool for detecting early RV dysfunction. This meta-analysis evaluates the predictive value of RV GLS in these patients.</p> Methods <p>A comprehensive literature search was conducted. The primary outcomes included pooled diagnostic performance measures, including sensitivity, specificity, and the diagnostic odds ratio (DOR). A multiple-cutoff model was employed to determine the optimal RV-GLS threshold.</p> Results <p>Ten observational studies involving 583 patients were included. RV-GLS demonstrated strong diagnostic accuracy, with a pooled area under the summary receiver operating characteristic curve (AUC) of 0.90 (95% CI: 0.82–1.00). The pooled DOR was 6.34 (95% CI: 3.20–12.57) with no heterogeneity (I² = 0%). Sensitivity was 0.79 (95% CI: 0.69–0.86; I² = 57.2%) and specificity was 0.78 (95% CI: 0.71–0.84; I² = 20.8%). The risk of publication bias was low (LFK index = 0.6). A multiple-threshold model identified − 15.25% as the optimal RV-GLS cutoff, achieving balanced sensitivity and specificity of 0.7423.</p> Conclusions <p>RV-GLS demonstrates excellent predictive value for RV dysfunction in cardiac surgery patients.</p> Graphical Abstract <p></p>

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The predictive value of right ventricle speckle tracking echocardiography in patients undergoing cardiac surgery, a systematic review and meta-analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月18日

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  • Ali Saad Al-shammari,
  • Ahmed Sermed Al Sakini,
  • Mohammed Tarek Hasan,
  • M Rafiqul Islam,
  • Maryam Shahzad,
  • Razan Adib Alsawadi,
  • Shanmukh Sai Pavan Lingamsetty,
  • Ahmed Ibrahim,
  • Mohammed Dheyaa Marsool,
  • Mohammed Elgebaly,
  • Rohit Masih

摘要

Background

Right ventricular (RV) dysfunction is a critical predictor of adverse outcomes in cardiac surgery patients. The assessment of right ventricular global longitudinal strain (GLS) echo has emerged as a promising tool for detecting early RV dysfunction. This meta-analysis evaluates the predictive value of RV GLS in these patients.

Methods

A comprehensive literature search was conducted. The primary outcomes included pooled diagnostic performance measures, including sensitivity, specificity, and the diagnostic odds ratio (DOR). A multiple-cutoff model was employed to determine the optimal RV-GLS threshold.

Results

Ten observational studies involving 583 patients were included. RV-GLS demonstrated strong diagnostic accuracy, with a pooled area under the summary receiver operating characteristic curve (AUC) of 0.90 (95% CI: 0.82–1.00). The pooled DOR was 6.34 (95% CI: 3.20–12.57) with no heterogeneity (I² = 0%). Sensitivity was 0.79 (95% CI: 0.69–0.86; I² = 57.2%) and specificity was 0.78 (95% CI: 0.71–0.84; I² = 20.8%). The risk of publication bias was low (LFK index = 0.6). A multiple-threshold model identified − 15.25% as the optimal RV-GLS cutoff, achieving balanced sensitivity and specificity of 0.7423.

Conclusions

RV-GLS demonstrates excellent predictive value for RV dysfunction in cardiac surgery patients.

Graphical Abstract