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ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 16 December 2022
Sec. Cardiovascular Imaging

Left atrial shortening fraction to predict fetal cardiac abnormalities and dysfunction in gestational diabetes mellitus

\r\nYu-Qing Peng,&#x;Yu-Qing Peng1,2†Xuan Qiu&#x;Xuan Qiu1†Li Wang&#x;Li Wang1†Xin Li,*Xin Li1,2*Xiao-Yan Huo*Xiao-Yan Huo1*
  • 1Department of Ultrasonic, Chinese PLA General Hospital-Sixth Medical Center, Beijing, China
  • 2The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China

Objective: To evaluate the diagnostic efficiency of left atrial shortening fraction (LASF) in the detection of fetal cardiac abnormalities and dysfunction in patients with gestational diabetes mellitus (GDM).

Methods: In this study, we enrolled 256 pregnant women and divided them into GDM group (n = 156) and control group (n = 100). Fetal echocardiography was performed at 24–28 weeks of gestation to measure the LASF and interventricular septum (IVS) thickness. Based on IVS thickness, the GDM group was subdivided into the septal hypertrophy group (GDM I, n = 62) and non-septal hypertrophy group (GDM II, n = 94). LASF and IVS thickness were compared between the GDM and control groups and between GDM I and GDM II groups. Receiver operating characteristic (ROC) analysis was performed to determine the diagnostic accuracy of LASF in predicting septal hypertrophy.

Results: The GDM group had a larger IVS thickness (P < 0.05) but a lower LASF level (P < 0.001) than those of the control group. GDM I group had significantly lower LASF level than that in the GDM II group (P < 0.001). At 38.41% as the cutoff value, the LASF can predict septal hypertrophy with diagnostic sensitivity and specificity of 96.7% and 65.2%, respectively.

Conclusion: Fetal GDM are more likely to induce septal hypertrophy and ventricular dysfunction. LASF is a good indicator of septal hypertrophy or early diastolic dysfunction without septal hypertrophy.

1 Introduction

International Diabetes Federation estimates that 16.2% of women with live births had hyperglycemia in pregnancy (1). The incidence of congenital cardiac malformations in the offspring of diabetic mothers (3–6%) is considerably higher than in the normal population (2). Septal hypertrophy and cardiac dysfunction are often found in fetuses with gestational diabetes mellitus (GDM), and diastolic dysfunction develops earlier than systolic dysfunction (3, 4).

Fetal echocardiography is the benchmark for diagnosing heart structural and functional abnormalities in fetuses with GDM. The myocardial performance index (MPI), mitral valve E/A ratio, and tricuspid valve E/A ratio are intensively used for indicating fetal cardiac function (5, 6). Although MPI measurement is not affected by ventricular geometry, cardiac load, nor heart rate, it is more time-consuming than atrioventricular valve E/A ratio. Moreover, it is difficult to distinguish between systolic dysfunction and diastolic dysfunction when MPI is abnormal. Mohsin M reported that left atrial shortening fraction (LASF) could be used to estimate early cardiac dysfunctional without septal hypertrophy in GDM fetuses (7). This study aims to investigate the diagnostic efficacy for LASF in predicting cardiac abnormalities and ventricular dysfunction in fetuses with GDM.

2 Materials and methods

2.1 Subjects and grouping

This retrospective study enrolled 256 singleton pregnant women at gestational ages of 24–28 weeks who underwent echocardiography at the Sixth Medical Center of PLA General Hospital between January 2020 and January 2022. The study was approved by the PLA General Hospital ethics committee (HZKY-PJ-2022-6). Among them, 156 women (age, 20–42 years; mean age, 33.27 ± 3.97 years) were diagnosed with GDM. Their gestational weeks ranged from 24th to 28th with a mean of (26.65 ± 1.14). The control group consisted of 100 normal pregnant women aged 20–40 years (average age, 32.06 ± 3.16 years), gestational age of 24th–28th weeks and mean gestational age of (26.43 ± 0.53) weeks. Age, height, weight, body mass index (BMI), and gestational age were collected and recorded (Table 1).

TABLE 1
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Table 1. Comparison of general clinical data between two groups.

In this study, the inclusion criteria were as follows: all pregnant women were diagnosed with GDM defined by the World Health Organization in 2010 (8), Normal blood glucose level (control group), singleton pregnancy, and sound mental health and can cooperate with the examinations.

The exclusion criteria were as follows: other pregnancy complications, such as pregnancy-induced hypertension and intrahepatic cholestasis of pregnancy; thyroid disease, rheumatic immune disease, hypertension, or pregestational diabetes; congenital heart disease or arrhythmia; twins or multiple pregnancy; mental disorders or cognitive disorders; and incomplete clinical data and incomplete echo parameters.

2.2 Instruments

GE Voluson 8 ultrasound device equipped with RAB4-8-D probe (4–8 HMz) was used.

2.3 Fetal echocardiography protocol

2.3.1 Parameters for fetal cardiac structure and function estimate

1. Left ventricular diastolic functional parameters: mitral valve E/A ratio, LASF;

2. Right ventricular diastolic functional parameters: tricuspid valve E/A ratio, DV-PI;

3. Cardiac structural parameters: Interventricular septal thickness at end-diastolic (IVSd).

2.3.2 Methods for parameters measurement

All women with gestational age of 24th–28th weeks underwent echocardiography. According to the echocardiography guidelines of American Society of Echocardiography (ASE) (9), pregnant women were placed in the supine position, and blood flow velocity of atrioventricular valve in early diastole (E peak) and late diastole (A peak) was measured to calculate E/A ratio. The blood flow spectrum in the ductus venous was acquired at the entrance of DV on the coronal section of the epigastrium. Ductus venosus pulsatility index (DV-PI) value was automatically recorded with a high-quality DV spectrum image acquired continuously within 3–5 cardiac cycles. IVS thickness at end-diastolic (IVSd) was recorded with M-mode in the long axis view. Then, the M-mode sampling line was moved to the left atrium, kept away from oval foremen, and the left atrial diameter at end-systolic (LAIDs) and end-diastolic (LAIDd) were measured successively, followed by LASF = (LAIDs-LAIDd)/LAIDs. All parameters were measured three times and averaged.

2.4 Statistical analysis

SPSS 26.0 software was used for statistical analysis. Measurement indicators were expressed as mean ± standard deviation (± s). Independent sample T-test was performed between GDM group and control group and between GDM I group and GDM II group. Receiver operating characteristic (ROC) analysis was applied to verify the diagnostic accuracy in predicting septal hypertrophy. P-value less than 0.05 is considered statistically significant.

3 Results

3.1 Comparison of general clinical data between the GDM group and the control group

Age, height, weight, and gestational age were not significantly different between the two groups (P > 0.05), except for BMI, which is higher in the GDM group than that in the control group (P < 0.05) (Table 1).

3.2 Comparison of fetal echocardiography parameters between the GDM group and the control group

Mitral valve E/A ratio and tricuspid valve E/A ratio were not significantly different between the two groups (P > 0.05). GDM group showed significantly thicker IVSd (P < 0.001), higher DV-PI (P < 0.05), and significantly lower LASF than those in the control group (P < 0.001) (Figures 1, 2 and Table 2).

FIGURE 1
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Figure 1. LASF in GDM fetuses at gestational age 26 weeks + 3 days. LASF, left atrial shortening fraction; GDM, gestational diabetes mellitus.

FIGURE 2
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Figure 2. LASF in control fetuses at gestational age 26 weeks + 3 days. LASF, left atrial shortening fraction.

TABLE 2
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Table 2. Comparison of echocardiography parameters between two groups.

3.3 Comparison of general clinical data between the GDM I group and the GDM II group

Age, height, weight, gestational age and BMI were not significantly different between the two groups (P > 0.05) (Table 3).

TABLE 3
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Table 3. Comparison of general clinical data between GDM I group and GDM II group.

3.4 Comparison of fetal cardiac functional parameters between GDM I group and GDM II group

Septal hypertrophy was detected in 62 patients in the GDM group. Only LASF was significantly lower than that in non-septal hypertrophy group (p < 0.001). Atrioventricular valve E/A ratio and DV-PI were not significantly different between the two groups (P > 0.05) (Table 4).

TABLE 4
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Table 4. Comparison of cardiac functional parameters between GDM I group and GDM II group.

3.5 Diagnostic efficacy of LASF to predict GDM fetal septal hypertrophy with ROC curve analysis

Using 38.41% as the cutoff value, the diagnostic sensitivity and specificity for LASF to predict GDM fetal septal hypertrophy were 96.7% and 65.2%, respectively. The area under the curve (AUC) and 95% confidence interval (CI) were 0.839 and 0.768–0.909, respectively (Figure 3).

FIGURE 3
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Figure 3. Receiver operating characteristic (ROC) curve of LASF to predict GDM fetal septal hypertrophy.

4 Discussion

Fetuses with GDM are more likely to induce septal hypertrophy combined with cardiac dysfunction than non-GDM ones (1012). Diastolic dysfunction comes earlier than systolic dysfunction (13, 14). IVS thickness can be used as an independent predictor of macrosomia (15). In this study, IVSd and DV-PI in GDM group were both higher than those in the control group, and LASF was significantly lower than that in the control group, which confirmed that septal hypertrophy combined with diastolic dysfunction were accompanied with GDM fetuses. IVSd, LASF, and DV-PI can be used to detect cardiac abnormalities and dysfunction, respectively.

Although E/A ratio was the most common diastolic function parameter (16), there were no significant differences in atrioventricular valve E/A ratio between GDM group and the control group, GDM I group and GDM II group. This result is consistent with the conclusion from Ren (17). This finding is not consistent with that reported by Ghaderian (18) and Hou (19) owing to several reasons. First, fetal E/A measurements are markedly affected by fetal respiration, fetal movement, and other factors. The measurement of E/A might be limited in cases of a very high fetal heart rate. It is difficult to distinguish E wave and A wave in case that fetal heart rate is too fast. In addition, the E/A ratio, which tend to decrease during pregnancy with GDM, might gradually increase with increasing gestational age.

In this study, LASF in the GDM fetuses with septal hypertrophy was significantly lower than that without septal hypertrophy, which was consistent with the results of Mohsin and Zielinsky (7, 20). Using 38.41% as the cutoff value, the diagnostic sensitivity and specificity for LASF to predict septal hypertrophy were 96.7% and 65.2%, respectively. The AUC and 95% CI were 0.839 and 0.768–0.909. Septal hypertrophy could lead to a decreased ventricular compliance (21), which causes a decreased blood flow from the mitral valve to left ventricular in late diastole. A greater amount of blood flow remained in the left atrium come to a decreased LASF consequently. Therefore, LASF is negatively correlated with interventricular septum thickness. Moreover, LASF measurement is easy and repeatable, which makes LASF a good index to predict septal hypertrophy and to detect the early diastolic dysfunction without septal hypertrophy.

In GDM fetuses with septal hypertrophy, increased right atrial pressure is associated with right ventricular dysfunction (22). DV blood flow spectrum showed a decreased flow velocity and an increased DV-PI in GDM fetuses (23, 24). In this study, DV-PI in the GDM group was higher than that in the control group, indicating that DV-PI had a certain efficacy to diagnosis right heart dysfunction. However, there was no difference in DV-PI between GDM I group and GDM II group, it seemed that this result from our study was not accord with the conclusion from Deng XD (25). The reason for the inconsistency between this conclusion and the previous DV-PI relevant conclusion maybe includes:

The study had limitations. First, even though all fetal echocardiographic examinations were independently performed by a senior physician and all examination parameters were aimed to be measured on the standard ultrasound section, man-made measurement error was inevitable. A standard DV spectrum was difficult to obtain continuously to automatically calculate DV-PI during middle and later terms of pregnancy, especially for the pregnant women with high BMI; Only 156 subjects comprised the GDM group, thereby limiting our findings.

Fetuses with GDM have septal hypertrophy and ventricular diastolic dysfunction. LASF and DV-PI can be used to detect left and right ventricular diastolic dysfunction, respectively. LASF is a prominent echo parameter to diagnose fetuses’ cardiac abnormalities and dysfunction.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee, The Sixth Center of PLA General Hospital (HZKY-PJ-2022-6). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

Y-QP contributed to the conceptualization. XQ contributed to the methodology. LW contributed to the data collection and statistical analysis. XL and X-YH contributed to the reviewing and editing of the manuscript. All authors have read and approved the final manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Gao C, Sun X, Lu L, Liu F, Yuan J. Prevalence of gestational diabetes mellitus in mainland China: a systematic review and meta-analysis. J Diabetes Investig. (2019) 10:154–62. doi: 10.1111/jdi.12854

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Zawiejska A, Wróblewska-Seniuk K, Gutaj P, Mantaj U, Gomulska A, Kippen J, et al. Early screening for gestational diabetes using IADPSG criteria may be a useful predictor for congenital anomalies: preliminary data from a high-risk population. J Clin Med. (2020) 9:3553. doi: 10.3390/jcm9113553

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Muche A, Olayemi O, Gete Y. Effects of gestational diabetes mellitus on risk of adverse maternal outcomes: a prospective cohort study in Northwest Ethiopia. BMC Pregnancy Childbirth. (2020) 20:73. doi: 10.1186/s12884-020-2759-8

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Yuqing P, Xin L. Progress of prenatal ultrasonography for perdicting adverse pregnancy outcomes caused by gestational diabetes mellitus. Chin J Med Imaging Technol. (2021) 37:1242–5.

Google Scholar

5. Xueping Y, Xuejiao L, Changzhao C, Qingjing W. Application of echocardiographic Tei index in fetal cardiac function evaluation of pregnant women with gestational diabetes mellitus. Chin J Ultrasound Med. (2020) 36:153–6.

Google Scholar

6. Atiq M, Ikram A, Hussain B, Saleem B. Assessment of cardiac function in fetuses of gestational diabetic mothers during the second trimester. Pediatr Cardiol. (2017) 38:941–5. doi: 10.1007/s00246-017-1600-2

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Mohsin M, Sadqani S, Younus K, Hoodbhoy Z, Ashiqali S, Atiq M. Evaluation of cardiac function in fetuses of mothers with gestational diabetes. Cardiol Young. (2019) 29:1264–7. doi: 10.1017/S1047951119001884

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Diabetes Research and Clinical Practice. Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy: a world health organization guideline. Diabetes Res Clin Pract. (2014) 103:341–63. doi: 10.1016/j.diabres.2013.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

9. American Institute of Ultrasound in Medicine. AIUM practice guideline for the performance of fetal echocardiography. J Ultrasound Med. (2013) 32:1067–82. doi: 10.7863/jum.2013.32.6.1067

CrossRef Full Text | Google Scholar

10. Bogo M, Pabis J, Bonchoski A, Santos D, Pinto T, Simões M, et al. Cardiomyopathy and cardiac function in fetuses and newborns of diabetic mothers. J Pediatr. (2021) 97:520–4. doi: 10.1016/j.jped.2020.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Melo Júnior J, Bravo-Valenzuela N, Nardozza L, Peixoto A, Mattar R, Martins W, et al. Reference range of fetal myocardial area by three-dimensional ultrasonography and its applicability in fetuses of pre-gestational diabetic women. J Perinat Med. (2019) 47:422–8. doi: 10.1515/jpm-2018-0342

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Plows J, Stanley J, Baker P, Reynolds C, Vickers M. The pathophysiology of gestational diabetes mellitus. Int J Mol Sci. (2018) 19:3342. doi: 10.3390/ijms19113342

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Depla A, De Wit L, Steenhuis T, Slieker M, Voormolen D, Scheffer P, et al. Effect of maternal diabetes on fetal heart function on echocardiography: systematic review and meta-analysis. Ultrasound Obstet Gynecol. (2021) 57:539–50. doi: 10.1002/uog.22163

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Wang D, Liu C, Liu X, Zhang Y, Wang Y. Evaluation of prenatal changes in fetal cardiac morphology and function in maternal diabetes mellitus using a novel fetal speckle-tracking analysis: a prospective cohort study. Cardiovasc Ultrasound. (2021) 19:25. doi: 10.1186/s12947-021-00256-z

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Szmyd B, Biedrzycka M, Karuga F, Rogut M, Strzelecka I, Respondek-Liberska M. Interventricular septal thickness as a diagnostic marker of fetal macrosomia. J Clin Med. (2021) 10:949. doi: 10.3390/jcm10050949

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Beibei W, Yu Z, Xuetao J, Linhui Z, Yuan W, Dongqin X. Ultrasound assessment of fetal cardiac function in pregnant women with gestational diabetes mellitus in the second trimester. Hainan Med. (2021) 31:459–65.

Google Scholar

17. Ren Y, Zhou Q, Yan Y, Chu C, Gui Y, Li X. Characterization of fetal cardiac structure and function detected by echocardiography in women with normal pregnancy and gestational diabetes mellitus. Prenat Diagn. (2011) 31:459–65. doi: 10.1002/pd.2717

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Ghaderian M, Hemmat M, Behdad S, Saeedi M, Shahsanaei F. Fetal cardiac functional abnormalities assessed by echocardiography in mothers suffering gestational diabetes mellitus: a systematic review and meta-analysis. Curr Probl Cardiol. (2021) 46:100658. doi: 10.1016/j.cpcardiol.2020.100658

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hou Q, Yan F, Dong X, Liu H, Wu J, Li J, et al. Assessment of fetal cardiac diastolic function of gestational diabetes mellitus using dual-gate Doppler. Medicine. (2021) 100:e26645. doi: 10.1097/MD.0000000000026645

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Zielinsky P, Luchese S, Manica J, Piccoli A Jr., Nicoloso L, Leite M, et al. Left atrial shortening fraction in fetuses with and without myocardial hypertrophy in diabetic pregnancies. Ultrasound Obstet Gynecol. (2009) 33:182–7. doi: 10.1002/uog.6154

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Briguori C, Betocchi S, Losi M, Manganelli F, Piscione F, Pace L, et al. Noninvasive evaluation of left ventricular diastolic function in hypertrophic cardiomyopathy. Am J Cardiol. (1998) 81:180–7. doi: 10.1016/S0002-9149(97)00870-9

CrossRef Full Text | Google Scholar

22. Gürses C, Karadağ B, Erol O, İsenlik B, Karadağ C. Reference ranges for flow velocities and the indices of the ductus venosus in low-risk pregnancies. J Turk Ger Gynecol Assoc. (2021) 22:300–11. doi: 10.4274/jtgga.galenos.2021.2020.0232

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Stuart A, Amer-Wåhlin I, Gudmundsson S, Marsál K, Thuring A, Källen K. Ductus venosus blood flow velocity waveform in diabetic pregnancies. Ultrasound Obstet Gynecol. (2010) 36:344–9. doi: 10.1002/uog.7573

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Zielinsky P, Marcantonio S, Nicoloso L, Luchese S, Hatem D, Scheid M, et al. Ductus venosus flow and myocardial hypertrophy in fetuses of diabetic mothers. Arq Bras Cardiol. (2004) 83:51–6. doi: 10.1590/s0066-782x2004001300005

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Xuedong D. Research progress of catheter monitoring in fetal venous. Chin J Prenat Diagn. (2014) 5:16–9.

Google Scholar

Keywords: gestational diabetes mellitus, fetal echocardiography, septal hypertrophy, cardiac dysfunction, left atrial shortening fraction

Citation: Peng Y-Q, Qiu X, Wang L, Li X and Huo X-Y (2022) Left atrial shortening fraction to predict fetal cardiac abnormalities and dysfunction in gestational diabetes mellitus. Front. Cardiovasc. Med. 9:1026587. doi: 10.3389/fcvm.2022.1026587

Received: 24 August 2022; Accepted: 01 December 2022;
Published: 16 December 2022.

Edited by:

Tullio Genova, University of Turin, Italy

Reviewed by:

Amir Naghshzan, Shiraz University of Medical Sciences, Iran
Vlatka Reskovic Luksic, University Hospital Centre Zagreb, Croatia

Copyright © 2022 Peng, Qiu, Wang, Li and Huo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xin Li, bGl4aW5fZHBAMTYzLmNvbQ==; Xiao-Yan Huo, aHh5cmFpbmJvd0AxNjMuY29t

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.