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Evaluating fetal pulmonary vascular development in congenital heart disease: a comparative study using the McGoon index and multiple parameters of fetal echocardiography

  • Chenke Pan ORCID logo , Bowen Zhao ORCID logo EMAIL logo , Yunkai Luo ORCID logo , Bin Ying ORCID logo and Yunyun Zhang ORCID logo
Published/Copyright: October 16, 2024

Abstract

Objectives

The purpose of this study was to evaluate the value of MGI and multi-parameter in the assessment of different pulmonary circulation blood volumes in congenital heart disease.

Methods

This study included 350 fetuses categorized into two groups: Normal group consisted of 258 fetuses with no discernible abnormalities through echocardiography as control Group A; abnormal group with abnormal echocardiogram, including Group B of 71 fetuses with decreased pulmonary blood flow or pulmonary atresia and Group C of 21 fetuses with reduced or detached aortic blood flow.

Results

The MGI and Z-scores were measured and compared among these groups. Significant variations were noted in the aortic outflow Z-scores (AO-Zs) (p<0.01), pulmonary artery (PA) (p<0.01), PA Z-scores (PA-Zs) (p<0.01), PA/AO (p<0.01), right PA (p<0.01), and MGI (p<0.01) among the three groups (all p<0.05). Among fetuses with decreased pulmonary blood flow or pulmonary atresia, PA, PA-Zs, and MGI in fetuses with reverse DA flow perfusion were lower than those in the DA forward perfusion group.

Conclusions

Fetal echocardiography, incorporating the MGI and multi-parameter, not only allows for the evaluation of pulmonary blood flow and pulmonary vascular development of the fetus but also enables the observation of changes in pulmonary blood flow and MGI development across different gestational weeks.

Introduction

In the fetuses studied, the time to peak velocity and the left-to-right flow ratio remained stable, yet peak aortic and pulmonary artery velocities and cardiac output decreased significantly [1]. In the 1980s, the McGoon index (MGI) and pulmonary artery index, also known as the Nakata index, emerged as pivotal tools for evaluating pulmonary vascular development in patients with congenital heart disease (CHD), MGI gained recognition as a comprehensive indicator for assessing the overall development of the pulmonary vascular bed [2], 3]. Clinically, both MGI and Nakata index serve as crucial surgical indicators for primary radical surgery in Tetralogy of Fallot syndrome (TOF), offering an important reference basis for preoperative evaluation, surgical selection, and postoperative intervention in TOF patients, closely impacting prognosis [4], 5]. Study has shown a high correlation between echocardiography and values measured by cardiovascular angiography, highlighting the accuracy of MGI in assessing pulmonary artery (PA) development and guiding surgical decisions [6]. Traditionally, MGI was primarily applied in the evaluation of adult or pediatric CHD. However, given that fetal hemodynamics and lung development differ from those after birth, recent years have seen an emerging interest in exploring the application of MGI in the fetal period.

The study by Guo Yong et al. [7] observed a significant linear positive correlation between the sum of RPA and LPA diameter (RPA + LPA) and fetal lung volume, suggesting that the two-dimensional ultrasound (US) measurement of RPA + LPA can, to some extent, reflect fetal lung development.In addition,it reported that the MGI of fetuses with moderate to severe pulmonary artery stenosis is significantly lower than that of normal fetuses and fetuses with mild PS [8].

Z-score refers to the standard deviation of the actual data compared with the average data, so the application of Z-score can more accurately evaluate the development of pulmonary arteries.In this study, we employed echocardiography to compare MGI and Z-scores in fetuses with different types of CHD under different pulmonary flow states. Our aim is to explore the application value of MGI combined with Z-score in fetuses with decreased pulmonary blood flow or pulmonary atresia, offering crucial insights for prenatal consultation and perinatal production planning in fetuses with CHD.

Materials and methods

Study subjects

We prospectively collected data from a total of 350 fetuses who underwent echocardiography at the Department of Diagnostic Ultrasound & Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, between June 2020 and August 2021. The fetuses were categorized into three groups: the normal control group (Group A) and abnormal group (Group B and Group C). Group A comprised 258 normal fetuses, undergoing a systematic scan based on fetal echocardiography standards [2], which revealed no obvious abnormalities. These fetuses were further subdivided into four subgroups according to gestational weeks. Group B included 71 fetuses with decreased pulmonary blood flow or pulmonary atresia, categorized into two subgroups based on the presence or absence of retrograde flow in the ductus arteriosus (DA). Group B encompassed various CHD types, such as isolated pulmonary stenosis (PS), PS with ventricular septal defect (PA-VSD), double outlet right ventricle with PS (DORV-PS), DORV with pulmonary atresia (DORV-PA), TOF, hypoplastic right heart syndrome with PA (HRHS-PA), hypoplastic right heart syndrome with PS (HRHS-PS), tricuspid atresia with PS and ventricular septal defect (TA-VSD-PS), transposition of the great arteries with PS (TGA-PS), TOF with pulmonary atresia (TOF-PA), and PA with severe tricuspid regurgitation. Group C consisted of 21 fetuses with decreased aortic blood flow or interruption of the aortic arch, encompassing CHD types such as aortic stenosis (AS), coarctation of the aorta, interruption of the aorta, and hypoplastic left heart syndrome, as well as DORV with AS(DORV-AS). Inclusion criteria involved an estimated gestational age (GA) ranging from 18 to 33+6 weeks based on ultrasonography. Exclusion criteria encompassed cases with poor echocardiographic image quality, extracardiac abnormalities, cardiomyopathy, oligohydramnios, intrathoracic mass, and multiple gestation pregnancies. Additionally, Types IV in the PA/VSD Boston classification were excluded from this study due to atresia of the pulmonary valve (PV), MPA, LPA and RPA, making it impossible to visualize LPA and RPA. Ethical approval was obtained from the Ethics Committee of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine on April 21, 2021, and informed consent was obtained from the parents of the participating children.

Echocardiography

All ultrasonographic examinations were conducted by a senior physician with over 10 years of expertise in fetal echocardiography, utilizing high-resolution US equipment (Voluson E10, Convex Volume Probe RAB 4–8L,General Rlectric Medical Systems, Zipf Austria; Philips Epiq 7C, Controlled Array Probe S8-3, S5-1,Philips Medical Systems International, Best, The Netherlands). US settings for fetal echocardiography were standardized, and a comprehensive fetal heart echocardiographic examination was administered. Each patient underwent a detailed assessment, encompassing standard biometric measurements such as biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL). GA was determined through the measurement of fetal crown-rump length in the first trimester and subsequently determined using biological indicators measured using 2D-US.

The cardiothoracic ratio (CTR) was computed by dividing the cardiac diameter by the thoracic diameter, both measured in the four-chamber view. The PA and AO were measured at end-systole to derive the PA/AO ratio.

The dynamics of the LPA, RPA, DAO at the diaphragm level, and ductus arteriosus (DA) were visually assessed. LPA, RPA, and DAO were measured at end-systole at least three times, and the averages were calculated (Figure 1). The MGI was expressed using the equation [3]: MGI=(summed diameter of RPA and LPA [RPA + LPA])/diameter of DAO.

Z-score

Z-scores were calculated following statistical analysis methods outlined by Royston and Wright [9], leveraging regression equations established by previous studies within the study group [9], [10], [11]: AO Predicted values mean=0.101 × FL − 0.012, PA Predicted values mean=0.114 × FL + 0.028, AO Predicted SD=0.005919 × FL + 0.016, and PA Predicted SD=0.0113 × FL + 0.0122. Z-scores were computed using the equations: AO Z-score=(Actually measured AO − Predicted AO according to FL)/Predicted SD of AO; PA-Zs=(Actually measured PA − Predicted PA according to FL)/Predicted SD of PA.

Subsequent measurements and calculations were conducted by another physician with >3 years of experience in fetal echocardiography.

Statistical analysis

Statistical analysis was performed using SPSS v26.0 software. Count data are presented as mean (standard deviation) and non-normally distributed data are presented as median (interquartile range). Categorical variables are expressed as numbers (percentages). According to the distribution of variables, the paired data t-test or ANOVA, Mann-Whitney test or Kruskal-Wallis test were used to compare continuous variables. Reproducibility of LPA, RPA, and DAO was assessed using the intra-class correlation coefficient (ICC). Statistically significant differences were indicated by p<0.05.

Results

Baseline patient characteristics

Initially, 402 fetuses were considered for this study, with 52 (12.9 %) subsequently excluded based on predefined exclusion criteria. Ultimately, 350 fetuses were included for the analysis. A detailed comparison of each parameter among the three groups is presented in Table 1.

Table 1:

Characteristics of each group.

Characteristics Group A (n=258) Group B (n=71) Group C (n=21) p-Value
MA, years 29.56 ± 4.36 30.13 ± 4.24 32.85 ± 4.78bc 0.005
GA, weeks 25.46 ± 3.68 25.54 ± 3.16 25.50 ± 4.21 0.970
CTR 0.27 ± 0.03 0.28 ± 0.05 0.26 ± 0.03 0.206
AO, mm 3.75 ± 0.89 4.91 ± 1.08a 3.34 ± 0.87c <0.01
AO-Zs −1.79 ± 1.08 0.89 ± 2.04a −2.82 ± 1.44bc <0.01
PA, mm 4.79 ± 1.04 3.78 ± 1.01a 5.49 ± 1.32bc <0.01
PA-Zs −1.14 ± 0.88 −2.70 ± 1.50a −0.09 ± 1.90bc <0.01
PA/AO 1.29 ± 0.09 0.79 ± 0.23a 1.75 ± 0.40bc <0.01
LPA, mm 2.52 ± 0.64 2.25 ± 0.64a 2.69 ± 0.76c <0.01
RPA, mm 2.67 ± 0.70 2.42 ± 0.62a 3.01 ± 0.89bc <0.01
DAO, mm 3.81 ± 0.86 4.04 ± 0.83 3.97 ± 0.98 0.133
MGI 1.37 ± 0.21 1.16 ± 0.19a 1.47 ± 0.35bc <0.01
DA, mm 3.14 ± 0.82 3.06 ± 0.76 3.84 ± 1.03bc <0.01
  1. MA, maternal age; GA, gestational age; CTR, cardiothoracic ratio; AO, aortic outflow; AO-Zs, AO Z-scores; PA, pulmonary artery; PA-Zs, PA Z-scores; LPA, left PA; RPA, right PA; DAO, descending aorta; MGI, McGoon index. aGroup A vs. Group B; bGroup A vs. Group C; cGroup B vs. Group C.

Statistical analysis revealed no significant differences in GA (p=0.970), CTR (p=0.206), and DAO (p=0.133) among the three groups (all p>0.05). Significant differences were also observed in AO-Zs (p=<0.01), PA (p=<0.01), PA-Zs (p=<0.01), PA/AO ratio (p=<0.01), PA/AO-Zs (p=<0.01), RPA (p=<0.01), MGI (p=<0.01). Notably, there was no statistical difference in AO between Group B and Groups A and C and LPA between Groups A and C, A and C, between Groups A and B, and between Groups A and C, B and C. In Group B, 53 fetuses had a PA-Z<−2, 44 had MGI<1.2, and 69 had PA/AO<1.2.

Differences in various parameters across gestational weeks

Comparison of various parameters among different gestational weeks in the normal control group is detailed in Table 2. No significant differences were observed in CTR, MGI, AO-Zs, or PA-Zs among the four groups; however, statistically significant differences were identified in AO, PA, LPA, RPA, DAO, and DA.

Table 2:

Comparison of different parameters between different gestational weeks in the normal control group.

Characteristics 18-(n=39) 22-(n=86) 26-(n=106) 30-(n=27) p-Value
CTR 0.27 ± 0.03 0.27 ± 0.03 0.26 ± 0.02 0.28 ± 0.04 0.141
AO, mm 2.55 ± 0.64 3.44 ± 0.48 4.08 ± 0.49 5.12 ± 0.82 <0.01
AO-Zs −1.72 ± 1.17 −1.74 ± 1.08 −1.93 ± 0.94 −1.47 ± 1.38 0.21
PA, mm 3.40 ± 0.76 4.44 ± 0.56 5.16 ± 0.54 6.45 ± 0.97 <0.01
PA-Zs −1.17 ± 1.06 −1.10 ± 0.88 −1.25 ± 0.73 −0.76 ± 1.05 0.08
PA/AO 1.35 ± 0.11 1.30 ± 0.09 1.27 ± 0.09 1.26 ± 0.05 <0.01
LPA, mm 1.75 ± 0.36 2.35 ± 0.50 2.76 ± 0.50 3.28 ± 0.43 <0.01
RPA, mm 1.72 ± 0.33 2.44 ± 0.51 2.97 ± 0.46 3.58 ± 0.45 <0.01
DAO, mm 2.65 ± 0.49 3.49 ± 0.58 4.21 ± 0.48 5.02 ± 0.63 <0.01
MGI 1.34 ± 0.27 1.38 ± 0.20 1.37 ± 0.20 1.38 ± 0.18 0.788
DA, mm 2.25 ± 0.36 2.89 ± 0.67 3.44 ± 0.63 4.16 ± 0.69 <0.01
  1. CTR, cardiothoracic ratio; AO, aortic outflow; AO-Zs, AO Z-scores; PA, pulmonary artery; PA-Zs, PA Z-scores; LPA, left PA; RPA, right PA; DAO, descending aorta; MGI, McGoon index.

Impact of fetal DA flow on PA development

In the subset of 71 fetuses experiencing decreased pulmonary blood flow or pulmonary atresia, 33 exhibited reverse DA flow perfusion. Notably, this subgroup displayed lower values for PA, PA-Zs, LPA+RPA and MGI than the forward DA perfusion group. No significant difference was observed in AO and AO-Zs between these wo groups. The correlation between the direction of fetal DA blood perfusion and PA development in fetuses with decreased pulmonary blood flow or pulmonary atresia is detailed in Table 3. This correlation was also visualized in Figure 2 in the form of image. Moreover, the mean difference and the respective limits of agreement of each parameter in Bland-Altman plots are shown in Figure 3.

Figure 1: 
Normal fetal McGoon index was measured by ultrasound. (A) Measurement of LPA and RPA; (B) measurements of DAO across the fetal diaphragm. LPA, left pulmonary artery; RPA, right pulmonary artery; DAO, descending aorta.
Figure 1:

Normal fetal McGoon index was measured by ultrasound. (A) Measurement of LPA and RPA; (B) measurements of DAO across the fetal diaphragm. LPA, left pulmonary artery; RPA, right pulmonary artery; DAO, descending aorta.

Table 3:

Relationship between the direction of fetal DA blood perfusion and PA development in Group B.

Group The DA forward perfusion group (n=38) The DA reverse perfusion group (n=33)
GA, week 25.50 ± 3.13 25.58 ± 3.24
CTR 0.28 ± 0.04 0.26 ± 0.46
AO, mm 5.00 ± 1.19 4.79 ± 0.93
AO-Zs 1.12 ± 2.33 0.61 ± 1.64
PA, mm 4.07 ± 1.02 3.44 ± 0.91a
PA-Zs −2.25 ± 1.45 −3.22 ± 1.40a
PA/AO 0.84 ± 0.21 0.74 ± 0.24
LPA + RPA, mm 4.95 ± 1.32 4.35 ± 0.96a
MGI 1.23 ± 0.17 1.07 ± 0.16a
DA, mm 3.22 ± 0.84 2.87 ± 0.63
  1. GA, gestational age; CTR, cardiothoracic ratio; AO, aortic outflow; AO-Zs, AO Z-scores; PA, pulmonary artery; PA-Zs, PA Z-scores; LPA, left PA; RPA, right PA; DAO, descending aorta; MGI, McGoon index. p<0.05 compared with the DA forward perfusion group.

Table 4:

ICC of different parameter measured by echocardiography in each group.

LPA RPA DAO
ICC ICC ICC
Group A (n=20) 0.956 0.966 0.977
Group B (n=20) 0.901 0.842 0.910
Group C (n=20) 0.980 0.904 0.965
Total (n=60) 0.957 0.961 0.973
  1. LPA, left pulmonary artery; RPA, right pulmonary artery; DAO, descending aorta.

Figure 2: 
Relationship between the direction of fetal DA blood perfusion and PA development in Group B.
Figure 2:

Relationship between the direction of fetal DA blood perfusion and PA development in Group B.

Figure 3: 
Bland-Altman plots of each parameters.
Figure 3:

Bland-Altman plots of each parameters.

Repeatability

Within-group correlation coefficients for each parameter were detailed in Table 4, demonstrated excellent consistency, with ICC slightly lower in Group B than in the other two groups.

Pregnancy outcome

Among the 71 fetuses with CHD in case group B, 19 cases were lost to follow-up, the loss rate was 26.8 %, 25 cases were induced labor, and 19 cases were born. Of the 19 neonates born, one died after giving up treatment due to poor condition (MGI=1.37 at 22 weeks of gestation). One case underwent palliative surgery for TOF after birth and died of multiple organ failure (MGI=1.20 at 24 weeks of gestation). Three patients (MGI 1.05–1.22) required elective radical resection of TOF. Five cases (MGI 0.88–1.35) underwent emergent or elective percutaneous balloon pulmonary valvuloplasty after birth. Nine cases (MGI 0.89–1.64) did well after birth and were followed up in the outpatient clinic without surgical intervention.

Additionally, 50 fetuses randomly selected from the normal control group underwent delivery and pediatric echocardiography, revealing no cardiovascular malformations, except for patent foramen ovale and PDA (patent ductus arteriosus).

Discussion

The aim of this study was evaluating the value of McGoon index and multiple parameters measured by fetal echocardiography in assessing fetal pulmonary vascular development.

In our investigation involving 71 fetuses with decreased pulmonary blood flow or pulmonary atresia in Group B, we observed that their MGI, PA-Zs, and PA/AO ratios were significantly smaller than those in the normal group. Conversely, the study of 21 fetuses with reduced or detached aortic flow in Group C revealed significantly greater values for MGI, PA-Zs, and PA/AO ratios than those in the other two groups. These findings, in conjunction with previous studies on CHD fetuses [10], 11], suggest that fetal MGI serves as a valuable indicator for evaluating PA development during the prenatal period, which has great implications for the dynamic evaluation of cardiovascular development in advanced intrauterine CHD fetuses, guiding disease analysis and prognosis, and providing reasonable information for prenatal consultations. Subgroup analysis in Group B indicated that fetuses with backward DA flow had smaller values for PA, PA-Zs, LPA + RPA, and MGI than the forward DA perfusion group. This implies that reverse DA flow may signify more severe PS or pulmonary atresia, suggesting a more substantial impact on fetal pulmonary vascular development.

In this study, we established a mean MGI of 1.37 ± 0.21 for a large sample of normal mid-to-late pregnant fetuses. Our normal fetal sample size covered most of the GA range for fetal echocardiography and was categorized into four groups based on GA. We observed no significant differences in fetal MGI across different GAs, indicating that MGI does not change with GA. In normal developing fetuses, quantitative indicators reflecting cardiovascular development, such as PA and its branches and AO growth, and non-cardiovascular parameters reflecting fetal growth and development, including BPD, HC, FL, and AC, are clearly correlated with the increase in GA, which has been confirmed in several studies that applied Z-score [12], [13], [14], [15], [16]. Because MGI is the ratio of LPA + RPA inner diameter to DAO, which reflects the relative proportion of fetal PA and AO development, the results of MGI and Z-scores are consistent. In normal developing fetuses, MGI remains relatively stable within the normal range and does not exhibit variation with GA. This contrasts with Guo et al.’s findings [17] in a study of 110 normal fetuses and 54 fetuses with reduced pulmonary blood flow CHD, where CTR, FLV/EFW, and MGI showed significant differences between the two groups. The variation in results may be attributed to the broader spectrum of diseases included in our study than the more specific inclusion criteria of TOF, PA-VSD, and PA-IVVS in Guo et al.’s study [17].

Evaluation of pulmonary vascular development is crucial in the surgical context, especially for PS, as it strongly influences postoperative outcomes. Laban et al. [18] reported that compared to neonates with respiratory distress syndrome(RDS), healthy neonates had significantly higher FLVs (p<0.001).However, YEabdalla et al. [19] recommended that combining the mean FLV to the other parameters rather than using this measure alone.Clinical MGI assessment is a common practice in postnatal children and adults, providing an overview of pulmonary vascular bed growth in CHD patients. A low MGI often indicates lung hypoplasia and is associated with a poor prognosis [3], 13]. Higher incidences of surgical death and heart failure have been reported in patients with PA dysplasia [2]. MGI has also been studied in children with congenital diaphragmatic hernia (CDH). Several studies [5], 20], 21] have suggested that among various prognostic factors in children with CDH, the extent of lung development is crucial, and the severity of pulmonary hypoplasia is considered the main limiting factor for survival, whereas MGI is positively correlated with pulmonary vascular development, serving as a prognostic factor for survival.

From the follow-up in our study, we observed that patients with PS alone and MGI<1.2 had a favorable prognosis. Notably, one patient with MGI 0.96 did not undergo surgery throughout the follow-up period. Similarly, two patients with TOF and MGI<1.2 (MGI 1.17, 1.05) did not require surgical intervention and were generally in good condition. However, two deaths occurred due to TOF (MGI 1.20) and hypoplastic right heart syndrome (HRHS). This suggests that the cardiovascular structure and functional status of fetuses with severe PS can vary significantly postnatally, necessitating individualized treatment strategies based on each child’s PA development [10]. Despite the overall better prognosis in isolated PS, MGI may still decrease.

While MGI can be obtained through various methods such as cardiovascular angiography, CT, and echocardiography [22], the unique nature of the fetus places fetal echocardiography at the forefront of prenatal evaluation for cardiovascular structure and hemodynamics. Although MRI is utilized for the prenatal assessment of fetal brain and spine structures, its application in diagnosing fetal cardiovascular malformations is limited. The main challenges in fetal MGI measurement via echocardiography are obtaining clear images of the LPA, RPA, and DAO. This is dependent on the sonographer’s ability to obtain standardized sections, which, in our study, was carried out by highly experienced physicians. Quantitative measurements of LPA, RPA, and DAO inner diameters were averaged from at least three measurements, resulting in a very good within-group correlation coefficient for each parameter. This ensured the high repeatability and accuracy of MGI measurements in our study.

Our study has some limitations. First, the measurement of fetal MGI is challenging in early pregnancy and was, therefore, excluded from our study. With ongoing advancements in US technology, future studies may include more early pregnancies to explore the broader application of MGI throughout gestation. Additionally, this study follows a cross-sectional design, and no prenatal follow-up was conducted for the studied case group. Conducting multiple follow-ups for CHD fetuses throughout pregnancy could provide a more comprehensive understanding of MGI patterns and its utility during fetal development. Similarly, there is a lack of systematic follow-up on pulmonary vascular and pulmonary development in neonates and young children post-birth. A longitudinal systematic tracking of MGI changes both prenatally and postnatally would contribute to a more scientific assessment of pulmonary blood vessel development in fetuses, newborns, and young children under varying pulmonary blood flow conditions. This approach is crucial for analyzing fetal conditions, predicting prognosis, and informing prenatal consultations and postnatal treatments.

Conclusions

This study showed that MGI combined with various parameter Z-scores can reliably evaluates pulmonary blood flow in different CHD fetuses, offering insights into pulmonary blood vessel development. The presence of reverse DA flow suggests more severe PS or pulmonary atresia, as indicated by smaller values in PA, PA-Zs, LPA + RPA, and MGI. This type of CHD may exert a more significant impact on fetal pulmonary vascular development. Through the analysis of a large number of normal fetal MGIs from 18 weeks to 33+6 weeks, we observed that fetal MGI remains relatively constant during this GA range and does not change with increasing GA. Studies had demonstrated that a low MGI (≦1.25) was associated with a high mortality rate (80 %) and had important applications in the category of risk death [20]. These findings have potential clinical applications in prognostic prediction and early intervention treatment.


Corresponding author: Bowen Zhao, MD, Chief Doctor, Professor, Department of Diagnostic Ultrasound & Echocardiography, Sir Run Run Shaw Hospital, Zhejiang University College of Medicine, Technical Guidance Center for Fetal Echocardiography of Zhejiang Province and Sir Run Run Shaw Institute of Clinical Medicine of Zhejiang University, No. 3 East Qingchun Road, Hangzhou 310016, Zhejiang Province, China, E-mail:

Funding source: Zhejiang Provincial Education Department

Award Identifier / Grant number: No.Y202248779

  1. Research ethics: This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (scientific research 20210412-34).

  2. Informed consent: Informed consent was obtained from all individual participants included in the study.

  3. Author contributions: All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by CP, YL, BY and YZ. The first draft of the manuscript was written by CP and all authors commented on previous versions of the manuscript. BZ supervised the completion of the project and revised the manuscript. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This work was supported by foundation of Zhejiang Provincial Education Department (No.Y202248779).

  7. Data availability: The datasets supporting the results of this study are available from the corresponding author on reasonable request.

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Received: 2024-07-07
Accepted: 2024-09-16
Published Online: 2024-10-16
Published in Print: 2025-01-29

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. The Journal of Perinatal Medicine is switching its publication model to open access
  4. Original Articles – Obstetrics
  5. The early COVID-19 pandemic period and associated gestational weight gain
  6. Evaluation of fetal growth and birth weight in pregnancies with placenta previa with and without placenta accreta spectrum
  7. Nutritional guidance through digital media for glycemic control of women with gestational diabetes mellitus: a randomized clinical trial
  8. Adverse perinatal outcomes related to pregestational obesity or excessive weight gain in pregnancy
  9. Maternal and fetal outcomes among pregnant women with endometriosis
  10. The role of the lower uterine segment thickness in predicting preterm birth in twin pregnancies presenting with threatened preterm labor
  11. Effect of combination of uterine artery doppler and vitamin D level on perinatal outcomes in second trimester pregnant women
  12. Contemporary prenatal diagnosis of congenital heart disease in a regional perinatal center lacking onsite pediatric cardiac surgery: obstetrical and neonatal outcomes
  13. How time influences episiotomy utilization and obstetric anal sphincter injuries (OASIS)
  14. The first 2-year prospective audit of prenatal cell-free deoxyribonucleic screening using single nucleotide polymorphisms approach in a single academic laboratory
  15. Original Articles – Fetus
  16. Evaluating fetal pulmonary vascular development in congenital heart disease: a comparative study using the McGoon index and multiple parameters of fetal echocardiography
  17. Antenatal corticosteroids for late small-for-gestational-age fetuses
  18. A systematic catalog of studies on fetal heart rate pattern and neonatal outcome variables
  19. Original Articles – Neonates
  20. Comparison of cord blood alarin levels of full-term infants according to birth weight
  21. Reviewer Acknowledgment
  22. Reviewer Acknowledgment
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