Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Apr 8;14(1):49.
doi: 10.1186/s13098-022-00820-1.

Evaluation of right ventricular systolic and diastolic dysfunctions in patients with type 2 diabetes mellitus with poor glycemic control by layer specific global longitudinal strain and strain rate

Jun Huang  1 , Li Li  2 , Li Fan  3 , Dong-Liang Chen  3
Affiliations

Evaluation of right ventricular systolic and diastolic dysfunctions in patients with type 2 diabetes mellitus with poor glycemic control by layer specific global longitudinal strain and strain rate

Jun Huang et al. Diabetol Metab Syndr. .

Abstract

Background: In order to evaluate right ventricular (RV) systolic and diastolic dysfunctions in patients with type 2 diabetes mellitus (T2DM) with poor glycemic control by layer specific global longitudinal strain (GLS) and strain rate (GLSr).

Methods: 68 T2DM patients and 66 normal controls were enrolled for the present study. RV layer specific GLS (GLSEpi, GLSMid and GLSEndo represent the epimyocardial, middle layer and endomyocardial strains, respectively) and GLSr (GLSr-S, GLSr-E and GLSr-A represent the systole, early-diastole and late-diastole strain rate) were calculated by averaging each of the three regional peak systolic strains and strain rates along the entire RV free-wall (RVFW), entire RV free-wall and septal wall (RVFSW) on RV-focused view.

Results: The absolute values of RV layer specific GLS (GLSEpi, GLSMid and GLSEndo) in RVFW in T2DM patients were significantly lower than normal controls (P < 0.01), while GLSr-A was significantly larger than normal controls (P < 0.001). The absolute values of RV layer specific GLS (GLSEpi and GLSMid) in RVFSW in T2DM patients were significantly lower than normal controls (P < 0.05), while GLSr-A was significantly larger than normal controls (P < 0.001). HbA1c were poor negatived correlated with GLSEpi in RVFW and RVFSW in T2DM patients (P < 0.05). ROC analysis showed that RV layer specific GLS and GLSr-A had a high diagnostic efficacy in T2DM patients, and GLSr-A in RVFSW have the best diagnostic value in RV diastolic function in T2DM patients (AUC: 0.773).

Conclusion: From the research, we found that layer specific GLS and GLSr could detect the RV myocardial dysfunctions and confirmed that the impaired RV systolic and diastole functions in T2DM patients with poor glycemic control. GLSr-A in RVFSW had the best diagnostic value in evaluating RV diastolic function in T2DM patients.

Keywords: Diastole; Dysfunction; Right ventricle; Systolic; Type 2 diabetes mellitus.

PubMed Disclaimer

Conflict of interest statement

The authors declared no competing interest.

Figures

Fig. 1
Fig. 1
The measurement of layer specific global RV longitudinal strain, strain rate in normal controls and T2DM patients
Fig. 2
Fig. 2
GLSEpi, GLSMid, GLSEndo, GLSr-A in RVFW and GLSEpi, GLSMid, GLSr-A in RVFSW between normal controls and T2DM patients (RVFW: right ventricle free wall, RVFSW: right ventricle free-wall and septal wall) (Independent Student′s t-test, normal: n = 59 and T2DM: n = 52, **means P < 0.01, ***means P < 0.001)
Fig. 3
Fig. 3
Correlation tests showed HbA1c was negatively correlated with GLSEpi in RVFW and RVFSW in T2DM patients (RVFW: right ventricle free wall, RVFSW: right ventricle free-wall and septal wall) (Pearson correlation tests, T2DM: n = 52)
Fig. 4
Fig. 4
ROC analysis for detecting the accuracy of RV systolic and diastole dysfunctions in T2DM patients (ROC analysis, normal: n = 59, and T2DM: n = 52)
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Vittos O, Toana B, Vittos A. Biomarkers and their involvement in the early diagnosis of right ventricular dysfunction in type 2 diabetes mellitus. J Med Life. 2012;5:74–78. - PMC - PubMed
    1. Tayyareci Y, Yurdakul S, Tayyareci G, Nisanci Y, Umman B, Bugra Z. Impact of myocardial acceleration during isovolumic contraction in evaluating subclinical right ventricular systolic dysfunction in type 2 diabetes mellitus patients. Echocardiography. 2010;27:1211–1218. doi: 10.1111/j.1540-8175.2010.01237.x. - DOI - PubMed
    1. Todo S, Tanaka H, Yamauchi Y, Yokota S, Mochizuki Y, Shiraki H, et al. Association of left ventricular longitudinal myocardial function with subclinical right ventricular dysfunction in type 2 diabetes mellitus. Cardiovasc Diabetol. 2021;20:212. doi: 10.1186/s12933-021-01404-5. - DOI - PMC - PubMed
    1. Tadic M, Ilic S, Cuspidi C, Stojcevski B, Ivanovic B, Bukarica L, et al. Left ventricular mechanics in untreated normotensive patients with type 2 diabetes mellitus: a two- and three-dimensional speckle tracking study. Echocardiography. 2015;32:947–955. doi: 10.1111/echo.12790. - DOI - PubMed
    1. Huang D, Cui C, Zheng Q, Li Y, Liu Y, Hu Y, et al. Quantitative analysis of myocardial work by non-invasive left ventricular pressure-strain loop in patients with type 2 diabetes mellitus. Front Cardiovasc Med. 2021;8:733339. doi: 10.3389/fcvm.2021.733339. - DOI - PMC - PubMed

LinkOut - more resources