Key result
Global longitudinal peak strain assessed by cardiac magnetic resonance feature tracking was an independent predictor of right ventricular dysfunction in patients with type 2 diabetes mellitus (OR 1.246).
Why the study?
The study was designed to determine the feasibility of right ventricular deformation analysis using cardiovascular magnetic resonance myocardial feature tracking in patients with type 2 diabetes mellitus.
Does cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) identify subclinical right ventricular dysfunction in patients with type 2 diabetes mellitus?
Cross-Sectional (n=130)
No
Does cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) identify subclinical right ventricular dysfunction in patients with type 2 diabetes mellitus?
Odds Ratio: 1.246 (95% CI 1.037–1.496)
p-value: p=0.019
May support CMR-FT strain for subclinical RV assessment in T2DM; hypothesis-generating and requires prospective validation before practice change.
To determine the feasibility of deformation analysis in the right ventricle (RV) using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) in type 2 diabetes mellitus (T2DM) patients. We enrolled 104 T2DM patients, including 14 with impaired right ventricular ejection fraction (RVEF) and 90 with preserved RVEF, and 26 healthy controls in this prospective study. CMR was used to determine RV feature-tracking parameters. RV strain parameters were compared among the controls, patients with preserved and reduced RVEF. Binary logistic regression was used to predict RV dysfunction. Receiver operating characteristic analysis was used to assess the diagnostic accuracy. The agreement was tested by Bland-Altman analysis. Compared with controls, longitudinal and circumferential global peak strain (PS) and PS at mid-ventricular, apical slices were significantly decreased in T2DM patients with or without reduced RVEF (p < 0.05). Within the T2DM patients, the global longitudinal PS (GLPS) and the longitudinal PS at mid-ventricular segments were significantly reduced in the reduced RVEF group than in preserved RVEF groups (p < 0.05). GLPS was an independent predictor of RV dysfunction (odds ratio: 1.246, 95% CI: 1.037-1.496; p = 0.019). The GLPS demonstrated greater diagnostic accuracy (area under curve: 0.716) to predict RV dysfunction. On Bland-Altman analysis, global circumferential PS and GLPS had the best intra- and inter-observer agreement, respectively. In T2DM patients, CMR-FT could quantify RV deformation and identify subclinical RV dysfunction in those with normal RVEF. Further, RV strain parameters are potential predictors for RV dysfunction in T2DM patients.
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Hu et al. (2019) conducted a cross-sectional in Type 2 diabetes mellitus (n=130). Global longitudinal peak strain (GLPS) was evaluated on Right ventricular dysfunction (RVEF < 45%) (OR 1.246, 95% CI 1.037-1.496, p=0.019). Global longitudinal peak strain assessed by cardiac magnetic resonance feature tracking was an independent predictor of right ventricular dysfunction in patients with type 2 diabetes mellitus (OR 1.246).
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