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Systematic Review

Doppler Indices of the Uterine, Umbilical and Fetal Middle Cerebral Artery in Diabetic versus Non-Diabetic Pregnancy: Systematic Review and Meta-Analysis

by
Sonja Perkovic-Kepeci
1,2,†,
Andja Cirkovic
3,*,†,
Natasa Milic
3,4,
Stefan Dugalic
5,
Dejana Stanisavljevic
3,
Milos Milincic
5,
Konstantin Kostic
2,
Nikola Milic
2,
Jovana Todorovic
6,
Ksenija Markovic
2,
Natasa Aleksic Grozdic
7 and
Miroslava Gojnic Dugalic
2,5
1
General Hospital Pancevo, 26000 Pancevo, Serbia
2
Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
3
Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
4
Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA
5
Clinic for Gynecology and Obstetrics, University Clinical Centre of Serbia, 11000 Belgrade, Serbia
6
Institute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
7
Institute for Process Engineering Environmental Engineering and Technical Life Sciences, Technical University of Vienna, 1180 Vienna, Austria
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Medicina 2023, 59(8), 1502; https://doi.org/10.3390/medicina59081502
Submission received: 21 June 2023 / Revised: 20 July 2023 / Accepted: 12 August 2023 / Published: 21 August 2023
(This article belongs to the Section Obstetrics and Gynecology)

Abstract

:
Background and Objectives: The aim of this study was to assess the differences in Doppler indices of the uterine (Ut), umbilical (UA), and middle cerebral artery (MCA) in diabetic versus non-diabetic pregnancies by conducting a comprehensive systematic review of the literature with a meta-analysis. Materials and Methods: PubMed, Web of Science, and SCOPUS were searched for studies that measured the pulsatility index (PI), resistance index (RI), and systolic/diastolic ratio index (S/D ratio) of the umbilical artery, middle cerebral artery, and uterine artery in diabetic versus non-diabetic pregnancies. Two reviewers independently evaluated the eligibility of studies, abstracted data, and performed quality assessments according to standardized protocols. The standardized mean difference (SMD) was used as a measure of effect size. Heterogeneity was assessed using the I2 statistic. Publication bias was evaluated by means of funnel plots. Results: A total of 62 publications were included in the qualitative and 43 in quantitative analysis. The UA-RI, UtA-PI, and UtA-S/D ratios were increased in diabetic compared with non-diabetic pregnancies. Subgroup analysis showed that levels of UtA-PI were significantly higher during the third, but not during the first trimester of pregnancy in diabetic versus non-diabetic pregnancies. No differences were found for the UA-PI, UA-S/D ratio, MCA-PI, MCA-RI, MCA-S/D ratio, or UtA-RI between diabetic and non-diabetic pregnancies. Conclusions: This meta-analysis revealed the presence of hemodynamic changes in uterine and umbilical arteries, but not in the middle cerebral artery in pregnancies complicated by diabetes.

1. Introduction

Pre-gestational (DM) and gestational diabetes mellitus (GDM) are associated with increased risk of adverse perinatal outcomes [1,2]. Maternal hyperglycemia provokes in utero adaptation by fetal hyperinsulinemia, which causes increased nutrient storage, and in turn the development of fetal macrosomia. Fetal macrosomia complicates delivery and might put mother and baby at risk of birth injuries [3]. In a large meta-analysis including 7.5 million pregnancies, GDM was significantly associated with a range of adverse pregnancy outcomes [4]. Women with GDM and no insulin use have increased odds of caesarean section, preterm delivery, macrosomia, infant born large for gestational age and low Apgar score, while for women with GDM using insulin, the odds of having an infant requiring admission to the neonatal intensive care unit, who is large for gestational age, with respiratory distress syndrome, and/or neonatal jaundice were higher than in those without GDM [4]. It is currently common practice to consider earlier labor inductions based on glycemia status in order to reduce this risk of adverse outcomes in pregnancies complicated by GDM [5,6]. It was also shown that a correct pregnancy diet and maternal weight gain could modify the hyperglycemia status and reduce the risk of GDM and its complications [7] and that even moderate changes in pre-pregnancy weight can apparently affect the risk of GDM among obese women [8].
Since hyperglycemia starts its effect during organogenesis, this condition is also known as diabetic embryopathy [9]. It affects the cardiovascular, central nervous, gastrointestinal, genitourinary, and musculoskeletal system, and 6–12% of fetuses with diabetic embryopathy would have congenital problems of this kind [10]. Diabetic embryopathy is also known to be associated with a higher rate of miscarriages [11]. Hyperglycemia creates anaerobic in utero setting, leading to hypoxia and acidosis, which could result in a stillbirth [12]. Complications reported from newborns delivered from diabetic pregnancies are neonatal hypoglycemia, hyperbilirubinemia, hypocalcemia, polycythemia, respiratory distress syndrome [13], as well as increased risk for obesity, diabetes, and hypertension in developing years [14].
During a physiological pregnancy, spiral remodeling modifies arteries from low-flow/high-resistance to high-flow/low-resistance vessels [15,16], but the maternal diabetes may change this process and the functioning of the placenta. Poor nutrient and oxygen transfer across the placenta lead to fetal hypoxia [17], while delayed metabolic products removal increases the risk of fetal asphyxia [18]. Hyperglycemia, both in fetus and mother, leads to changes in vascular condition, higher oxidative stress, and awakening of epigenetic remodeling [19,20]. Changes on the placental level are angiomorphological and pathophysiological with implications on hemodynamics, reducing utero-placental perfusion. The protection mechanism for the fetus is known as the “brain sparing” phenomenon. Blood from the peripheral blood stream is being redistributed to the brain instead of the viscera, which can be seen in a decreased fetal middle cerebral artery resistance and pulsatility index and increased umbilical artery resistance and pulsatility index [21,22]. These hemodynamic changes could be revealed by Doppler ultrasound measurements [18,23]. The predictive power of Doppler US for adverse perinatal outcomes in both high- and low-risk pregnancies has been proven by numerous studies [16]. It still remains uncertain to which extent altered hemodynamics accompanies diabetic pregnancies. Therefore, the aim of this study was to assess the differences in pulsatility (PI), resistance (RI) and systolic/diastolic ratio (S/D ratio) Doppler indices of uterine (Ut), umbilical (U), and middle cerebral artery (MCA) in diabetic versus non-diabetic pregnancies by conducting a comprehensive systematic review of the literature with a meta-analysis.

2. Materials and Methods

2.1. Study Design

This systematic review was registered at PROSPERO (CRD42023409966) and is conducted according to the PRISMA protocol recommendations (Reporting Items for Systematic Reviews and Meta-Analyses) [24] and MOOSE guidelines [25].

2.2. Eligibility Criteria

Original studies that measured Doppler indices (pulsatility, resistance, and systolic/diastolic ratio) of umbilical, uterine, and middle cerebral arteries in pregnant women with pre-gestational or gestational DM were included. The inclusion criteria were developed according to the PICOS system: (P) population: all pregnant women; (E) exposure: pre-gestational DM or GDM; (C) control: non-DM or non-GDM; (O) outcome: pulsatility index (PI), resistance index (RI), or systolic/diastolic ratio (S/D ratio) of umbilical, uterine, and middle cerebral arteries; (S) study design: controlled trials, prospective or retrospective cohort, nested case-control in cohort studies, case-control studies, and cross-sectional studies.
The exclusion criteria were: (i) language: other than English; (ii) not an original article: narrative reviews, systematic reviews, meta-analysis, case reports, case series, editorials, comments, correspondences, books, short, abstracts, etc.; (iii) wrong population: other than humans (animals, cell lines), not pregnant women; (iv) no control group; (v) inadequate control group: not non-DM pregnant women; (vi) wrong outcome: other indices than PI, RI, and S/D ratio for arteries other than umbilical, uterine, and cerebral medial artery.
Two researchers with expertise in conducting systematic reviews and meta-analyses (AC, NM) developed and ran the search. The following databases were electronically searched: PubMed, Web of Science (WoS), and SCOPUS until 6 September 2022. The following search queries were combined to identify all relevant articles that measured Doppler indices among pregnant women with GDM and pregnant women with pregestational-GDM: (Gestational diabetes mellitus and (Color Doppler ultrasonography or Color Doppler ultrasonography or Doppler or Doppler sonography or Doppler velocimetry or Pulse wave Doppler or pulsatility index or peak systolic velocity or systolic/diastolic ratio or S/D ratio or resistance index or resistive index or resistivity index)) or (Diabetes mellitus and pregnancy and (Color Doppler ultrasonography or Doppler or Doppler sonography or Doppler velocimetry or Pulse wave Doppler or pulsatility index or peak systolic velocity or systolic/diastolic ratio or S/D ratio or resistance index or resistive index or resistivity index)) (details are available in Supplementary Materials: Table S1). In addition, reference lists of articles identified through electronic search and relevant reviews and editorials were manually searched to check for more potentially relevant articles.

2.3. Article Screening and Selection

Publications were screened for inclusion by title and abstract reading independently by two reviewers (M.M., K.K.) in the first step, and by full-text reading by two new reviewers (S.P.-K., A.C.). All disagreements were resolved by discussion at each stage with the inclusion of a third reviewer if needed (M.G.D. or D.S. or N.M.). A Rayyan online application was used for the first step of the selection process. Studies were included in the full-text screening if the study was identified as potentially eligible or if the abstract and title did not have sufficient information for exclusion.

2.4. Data Abstraction and Quality Assessment

Two reviewers (S.P., A.C.) independently abstracted the following data: (i) authors, publication year, country, study design, measured Doppler index, and artery; (ii) type of DM, sample size, characteristics of cases and controls, glycaemia, HbA1c, maternal age, gestational age, body weight, body mass index; (iii) criteria for DM; (iv) inclusion and exclusion criteria for cases and controls; and (v) newborns gender, body weight, Apgar score in the 1st and 5th minute. Previously designed protocol was used for data extraction. Authors of relevant articles were contacted to obtain unavailable manuscripts and/or missing data. Each reviewer independently performed a risk of bias and quality assessment of the included articles using an adapted version of the Newcastle-Ottawa tool (NOS) for observational studies [26]. The study quality, according to NOS, was defined: good (3 or 4 stars in selection AND 1 or 2 stars in comparability AND 2 or 3 stars in outcome/exposure domain, or ≥7 stars in total), fair (2 stars in selection AND 1 or 2 stars in comparability AND 2 or 3 stars in outcome/exposure domain, or 5–6 stars in total), or poor (0 or 1 star in selection OR 0 stars in comparability OR 0 or 1 star in outcome/exposure, or ≤4 stars in total). Results of the quality assessment is given in Supplementary Materials: Table S2.

2.5. Statistical Analysis

The primary outcome was the difference in the PI, RI, and S/D ratio Doppler indices of the umbilical, uterine, and middle cerebral artery in diabetic versus non-diabetic pregnancies. While figures were used to present Doppler indices, GraphGrabber was used to read indices values. If data were not presented as an arithmetic mean with standard deviation, the following approximations were used: (1) if median was available, median was used as an approximation of the mean; (2) where z score was available, the mean was calculated according to the following formula [27]: (sd × z) where sd = se × √n; (3) if the multiple of median (MoM) was available, mean was calculated as MoM = median(patient/population value) [27]; (4) if IQR was available, standard deviation (sd) was calculated as sd = IQR/1.35; (5) if standard error (se) was used, sd was obtained by the following formula sd = se × √n; (6) if range was reported, sd was calculated as sd = (max − min)/4, and; (7) if 95%CI was used, sd was calculated as ((Upper limit of 95%CI − ((Upper limit of 95%CI + Lower limit of 95%CI)/2))/1, 96) × √n.
The standardized mean difference (SMD) was used to examine differences in diabetic versus non-diabetic pregnancies, due to different methodologies used for Doppler measurements across the studies included in the meta-analysis. SMD expresses the difference between group means in units of standard deviation and was estimated by pooling individual trial results using random-effects models via the Der Simonian-Laird method. Heterogeneity was assessed using the Chi-square Q and I2 statistic. I2 presents the inconsistency between the study results and quantifies the proportion of observed dispersion that is real, i.e., due to between-study differences and not due to random error. The categorization of heterogeneity was based on the Cochrane Handbook [28]: I2 < 30%, 30–60%, or >60%, correspond to low, moderate, and high heterogeneity, respectively. Forest plots were constructed for each analysis showing the SMD (box), 95% confidence interval (lines), and weight (size of box) for each study. The overall effect size was represented by a diamond. Publication bias was assessed by funnel plots for each defined outcome (Supplementary Materials: Figures S1–S16). Subgroup analysis was performed for (1) pregestational and gestational DM and (2) Doppler indices measured in the 1st, 2nd, and 3rd trimester separately. Sensitivity analyses were conducted to examine the effects of: (1) different DM cases (removing the combination of DM and other diseases like PE, HPD). p value ≤ 0.05 was considered statistically significant. Analyses were performed using Review Manager Version 5.4.

3. Results

3.1. Systematic Review

A total of 10,820 potentially eligible articles were found. After removal of 6983 duplicates, 3837 articles were screened for inclusion based on the title and abstract reading. After the exclusion of 3686 articles (due to wrong publication type, population, outcome, method, no presence of control group or language other than English), 151 publications were screened for inclusion based on full-text reading. A total of 62 articles were selected for inclusion in the qualitative and 43 for quantitative synthesis. A flow chart illustrating the selection process is presented in Figure 1.
Characteristics of all publications included in the systematic review are presented in detail in Table 1. Studies were published between 1987 and 2022, with a total of 156,166 participants; 9912 women with and 146,254 without DM. The minimum and maximum sample size of the DM group was 9 and 4015, while for the non-DM group it was 10 and 71,565. Matching was applied in 23% of studies only; gestational age at the time of delivery and maternal age were the most commonly used variables for matching (in 9/15 and 6/15 studies, respectively). Other matching variables were: obesity, weight gain during pregnancy, BMI at the time of delivery, chronic hypertension, parity, race, gravidity, past obstetric history, and smoking. Prospective cohort studies were the most common among included studies (20/62); 8 studies were cross-sectional, 7 studies were case-controls, and 1 study was a retrospective cohort. Eleven studies did not correctly report study design and 15 did not report study design at all. Most studies were performed in Europe (23) and Asia (22). There were also studies from North America (9), Africa (4), South America (2), and Australia and Oceania (2). The predominant population included in studies were pregnant women with GDM (39/62). Pregnant women with pre-GDM type 1 were assessed in 21/62 studies, pre-gestational diabetes mellitus type 2 in 9/62, while the type of pre-GDM was not specified in 9 studies. Doppler ultrasonography was performed during the 3rd trimester in 39/62 studies, 2nd trimester in 18/62, and 1st trimester in one study. The exact timing of Doppler measurements was not reported in 12 studies. The most assessed Doppler index was the pulsatility index (33/62); the resistance index was measured in 15 studies, while the S/D ratio index was used in 11 studies. All 33 studies that assessed PI performed measurement on the umbilical artery; PI was measured on the middle cerebral artery in 20/33 and on the uterine artery in 13/33. The umbilical artery RI was measured in 16 studies, middle cerebral artery RI in 10/15, and uterine artery RI in 3/15. The systolic/diastolic ratio index was measured in all 11 studies on the umbilical artery, while it was measured on the middle cerebral artery in 7/11, and on the uterine artery in 3/11.
A total of 41/62 of included studies reported specific criteria and 37/41 a definition for DM diagnosis as well. White’s classification of Diabetes in Pregnancy, World Health Organization (WHO), and American Diabetes Association (ADA) criteria were used in 11, 8, and 7 studies, respectively. Other criteria that were applied were: IADPSG (4), O’Sullivan (3), National Diabetes Data group (2), Australian Diabetes in Pregnancy (ADIPS) (2), National Institute for Health and Clinical Excellence (NICE) guidelines, American College of Obstetricians and Gynecologists (ACOG), Fifth International Workshop-Conference on Gestational Diabetes, and the Sixth edition of Obstetrics and Gynecology in one study each. Details regarding DM definitions and the diagnostic criteria used in the included articles are presented in Supplementary Materials: Table S3. The most common exclusion criterium was multiple pregnancy (31/62), while other exclusion criteria were: chronic hypertension (17/62), preeclampsia (14/62), pregnancy-induced hypertension (12/62), smoking (11/62), renal diseases (11/62), cardiovascular diseases (10/62), obesity (4/62), and nulliparity (1/62). Inclusion and exclusion criteria used in included studies are presented in detail in the Supplementary Materials: Table S4. The characteristics of newborns were rarely reported. Birth weight was available in 42/62 studies, gender in 14, while Apgar score was available in 18 studies. Supplementary Materials: Table S5 presents newborns’ characteristics in more detail.

3.2. Meta-Analysis

A meta-analysis was performed for the UA-PI, UA-RI, UA-S/D ratio, MCA-PI, MCA-RI, MCA-S/D ratio, UtA-PI, UtA-RI, and UtA-S/D ratio Doppler indices. The UA-RI, UtA-PI, and UtA-S/D ratio were significantly higher in diabetic in contrast to non-diabetic pregnancies (SMD = 0.40, 95%CI = 0.07–0.73, p = 0.020 (Figure 2); SMD = 1.62, 95%CI = 0.36–2.88, p = 0.010 (Figure 3), and SMD = 1.02, 95%CI = 0.02–2.03, p = 0.050 (Figure 4), respectively).
Subgroup analysis showed increased levels of UtA-PI measured during the 3rd trimester (SMD = 0.47, 95%CI = 0.09–0.86, p = 0.020), but not during the 1st trimester of pregnancy (SMD = 0.65, 95%CI = −0.79–2.09, p = 0.380), in diabetic versus non-diabetic pregnancies (Figure 5).
The following Doppler indices were not significantly different in diabetic versus non-diabetic pregnancies: UA-PI (SMD = 0.12, 95%CI = −0.05–0.29, p = 0.170) (Supplementary Materials: Figure S17), UA-S/D ratio (SMD = 0.01, 95%CI = −0.37–0.39, p = 0.960) (Supplementary Materials: Figure S18), MCA-PI (SMD = 0.15, 95%CI = −0.12–0.42, p = 0.280) (Supplementary Materials: Figure S19), MCA-RI (SMD = 0.21, 95%CI = −0.57–0.98, p = 0.600) (Supplementary Materials: Figure S20), MCA-S/D ratio (SMD = −0.28, 95%CI = −1.07–0.51, p = 0.480) (Supplementary Materials: Figure S21), and UtA-RI (SMD = 0.66, 95%CI = −0.40–1.73, p = 0.220) (Supplementary Materials: Figure S22).
Sensitivity analysis including studies of gestational versus non-GDM pregnancies presented no significant differences in the following Doppler indices: UA-PI (SMD = 0.04, 95%CI = −0.10–0.19, p = 0.540) (Supplementary Materials: Figure S23), UA-RI (SMD = 0.16, 95%CI = −0.08–0.41, p = 0.190) (Supplementary Materials: Figure S24), UA-S/D ratio (SMD = 0.18, 95%CI = −0.19–0.54, p = 0.340) (Supplementary Materials: Figure S25), MCA-PI (SMD = 0.15, 95%CI = −0.13–0.43, p = 0.300) (Supplementary Materials: Figure S26), MCA-RI (SMD = 0.28, 95%CI = −0.71–1.27, p = 0.580) (Supplementary Materials: Figure S27), MCA-S/D ratio (SMD = −0.28, 95%CI = −1.07–0.51, p = 0.480) (Supplementary Materials: Figure S28), and UtA-PI (SMD = 0.63, 95%CI = −0.13–1.38, p = 0.100) (Supplementary Materials: Figure S29).

4. Discussion

This is the first systematic review with a meta-analysis assessing differences in pulsatility, resistance, and systolic/diastolic ratio Doppler indices of the uterine, umbilical, and middle cerebral artery between pregnant women with and without diabetes mellitus. The UA-RI, UtA-PI, and UtA-S/D ratio had higher values in pregnant women with than without DM. Subgroup analysis showed that levels of UtA-PI were significantly higher in DM than in non-DM pregnant women during the 3rd, but not during the 1st trimester.
The maternal body goes through many physiological adaptations to fulfill pregnancy requirements. Healthy pregnancy is a state of mild insulin resistance that becomes obvious in the late 2nd trimester due to the dysfunction of beta cells in the mother’s pancreas resulting in higher blood glucose levels. These changes occur due to hormonal secretion of the placenta, weight gain, and endothelial dysfunction through enhanced inflammation and a Th-2 predominant immune response [87]. Intensive production of human placental lactogen, estrogen, progesterone, prolactin, and cortisol [19,88], as well as adipocytokines (leptin, tumor necrosis factor alpha, interleukin-6, resistin, visfatin, apelin, and retinol-binding protein 4) are contributing the most to disrupted glucose homeostasis during pregnancy [19,87]. Morphology changes in placenta in terms of infarctions, retroplacental hemorrhage, distal villous hypoplasia, and decidual arteriopathy are induced by the aforementioned processes [89]. The endothelial dysfunction together with higher blood glucose concentrations produce higher blood flow viscosity, thus the blood flow resistance increases while blood flow speed decreases, which easily leads to abnormal blood perfusion [18]. During the course of pregnancy, changes in the uteroplacental, fetoplacental, and fetal circulation, representing the oxygen metabolism in between the three compartments maternal, feto-maternal, and fetal, become more detectable [21]. Reference ranged Doppler values measured on uterine, umbilical, and cerebral media arteries are the mirror of efficient circulation necessary for adequate fetal development and growth [90].
Our study demonstrated increased UA-RI, UtA-PI, and UtA-S/D ratio Doppler indices in pregnant women with DM in contrast to those without DM. Previous studies reported inconsistent results regarding the arteries and Doppler indices measured, time of Doppler measurements, different forms of DM, and diabetes severity. Nicolaides et al. found no relation between UtA and UA with neither short-term nor long-term maternal glycemic control [91], and therefore concluded that impedance to flow in the uterine artery is normal in diabetic pregnancy, even in patients complicated with nephropathy and vasculopathy [91]. This was not the case with the umbilical artery, in the study by Gazzolo, where the increase in impedance was noticed in the state of maternal vasculopathy [39]. Abnormal UA-RI was associated with birthweights of less than 50th centile seen in diabetic pregnancy [33]. The same authors reported in 1992 that UA-RI declined significantly during the course of T1DM pregnancy [34] and in 1994 that UtA-RI was slightly higher in the presence of evident morphological vasculopathy [92]. Pietryga et al. [93] demonstrated significantly increased uterine artery vascular impedance in pregnant women with T1DM in cases with severe vasculopathy, while Gutaj et al. [94] obtained that the UA-RI increase does not depend on the level of vascular changes in the mother. UA-PI was the highest in pregnant women with T1DM in comparison with T2DM and GDM, while there was no difference in the mean MCA PI between these three groups [95]. Wei et al. [18] had found that the increase in the PI, RI, and S/D value during pregnancy were positively correlated with the onset of GDM, indicating that the arterial blood flow condition during pregnancy can reflect the formation process of GDM, and has certain clinical significance for GDM diagnosis and disease monitoring.
However, materno-fetal Doppler parameters can be affected not only by DM but by many other factors. Systemic diseases like hypertensive disorders in pregnancy and cardiovascular diseases have a lot of overlapping risk factors (age, smoking, obesity, etc.) with DM [96]. Inadequate vascular dilatation and angiogenesis are common pathohistological causes of hypertension in pregnancy, preeclampsia and GDM, denoting a failed response to the vasodilatory and pro-angiogenic challenge imposed by pregnancy, especially if multifetal [97]. GDM is also known to be a risk factor for later onset of gestational hypertension. The relationship between inadequate glucose milieu and higher blood pressure lies in reshaped uteroplacental vascularization [98], which results further on with abnormal uteroplacental blood flow [99]. In these cases, Doppler velocimetry measurements may have an important role in real-time antepartum surveillance as they have the ability to detect high-risk pregnancies in disrupted oxygenation states such as in hypoxemia, anemia, preeclampsia, IUGR, and DM [39,100,101]. It is also known that doppler velocimetry as a tool is very helpful in predicting adverse outcomes in twin pregnancies [102]. Although some of these factors like chronic diseases, preeclampsia, fetal growth retardation, and drug use, that may affect Doppler parameters, are stated as exclusion criteria in some studies included in our meta-analysis, the absence of such exclusion criteria (or not reporting them) in others may affect the results of our meta-analysis. Fouda et al. found that HgA1c was higher in pregestational diabetic women with chronic hypertension. Also, UA-RI was higher in diabetic pregnancies with hypertension, but not in diabetic pregnancies without hypertension, in comparison to uncomplicated pregnancies as controls [53]. Hssan et al. reported higher UA-PI levels in diabetic pregnancies complicated by preeclampsia [82]. In a recent study, tobacco combustion was associated with higher uterine and umbilical PI, RI, and S/D ratio Doppler indices with a strong association between indices values and the number of cigarettes smoked per day [103].
Results of our meta-analysis presented no significant differences between the DM and non-DM groups in terms of fetal MCA Doppler parameters. It is known that long-term uncontrolled hyperglycemia, chronic hypertension, preeclampsia, and IUGR can lead to placental vascular dysfunction with changes even in fetal circulation [53,82,104,105,106]. But the effect of metabolic changes due to diabetes mellitus during pregnancy on the fetus may be acidemia without hypoxemia, thus that redistribution seen in fetal hypoxemia may not occur even in severely compromised fetuses; and, therefore, it is of huge importance not to misrepresent this state by apparently normal fetal Doppler results [80].
This study has several limitations that should be considered when interpreting the results. First, the absence of exclusion criteria such as additional chronic diseases, preeclampsia and/or fetal growth retardation, and drug use in some of the included studies may affect the overall pooled estimate of this meta-analysis. Second, some patients with DM included in studies are followed by using insulin, and some are followed only by appropriate diet. This broad range of therapy regimens might also affect the results of the meta-analysis. Third, although the pregnancy trimesters are specified in some studies, it is possible that the differences between the gestational weeks of Doppler measurements applied in the studies affects the overall results.

5. Conclusions

This meta-analysis revealed the presence of hemodynamic changes in uterine and umbilical arteries, but not in middle cerebral artery in pregnancies complicated by diabetes. UtA-PI, UtA-S/D ratio, and UA-RI Doppler indices are higher in diabetic versus non-diabetic pregnancies. More studies are needed to distinguish effects of pregestational versus gestational diabetes on hemodynamic changes during pregnancy.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/medicina59081502/s1, File S1. Search strategy, Table S1. Quality assessment, Figures S1–S16. Funnel plots, Table S2. Definitions and criteria of pregestational and gestational diabetes mellitus used in included studies, Table S3. Inclusion and exclusion criteria used in included studies, Table S4. Characteristics of newborns reported in included studies, Figure S17. UA-PI Doppler index in pregnant women with vs. pregnant women without diabetes mellitus, Figure S18. UA-S/D ratio Doppler index in pregnant women with vs. pregnant women without diabetes mellitus, Figure S19. MCA-PI Doppler index in pregnant women with vs. pregnant women without diabetes mellitus, Figure S20. MCA-RI Doppler index in pregnant women with vs. pregnant women without diabetes mellitus, Figure S21. MCA-S/D ratio Doppler index in pregnant women with vs. pregnant women without diabetes mellitus, Figure S22. UtA-RI Doppler index in pregnant women with vs. pregnant women without diabetes mellitus, Figure S23. UA-PI Doppler index in pregnant women with GDM vs. women without GDM, Figure S24. UA-RI Doppler index in pregnant women with GDM vs. women without GDM, Figure S25. UA-S/D ratio Doppler index in pregnant women with GDM vs. women without GDM, Figure S26. MCA-PI Doppler index in pregnant women with GDM vs. women without GDM, Figure S27. MCA-RI Doppler index in pregnant women with GDM vs. women without GDM, Figure S28. MCA-S/D ratio Doppler index in pregnant women with GDM vs. women without GDM, Figure S29. UtA-PI Doppler index in pregnant women with GDM vs. women without GDM.

Author Contributions

Conceptualization: S.P.-K., A.C., N.M. (Natasa Milic), D.S. and M.G.D.; Data curation: S.P.-K., A.C., S.D., M.M., K.K., N.M. (Nikola Milic), J.T., K.M. and N.A.G.; Formal analysis: S.P.-K., A.C., N.M. (Natasa Milic), D.S. and M.G.D.; Investigation: S.P.-K., A.C., S.D., M.M., K.K., N.M. (Nikola Milic), J.T., K.M. and N.A.G.; Methodology: A.C., N.M. (Natasa Milic), D.S., S.D., M.M., K.K., N.M. (Nikola Milic), J.T., K.M., N.A.G. and M.G.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All additional data are available as Supplementary Materials.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Flow diagram.
Figure 1. Flow diagram.
Medicina 59 01502 g001
Figure 2. UA-RI Doppler index in diabetic versus non-diabetic pregnancies. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [18,21,32,34,36,39,53,56,60,61,80,82,83].
Figure 2. UA-RI Doppler index in diabetic versus non-diabetic pregnancies. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [18,21,32,34,36,39,53,56,60,61,80,82,83].
Medicina 59 01502 g002
Figure 3. UtA-PI Doppler index in diabetic versus non-diabetic pregnancies. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [14,18,41,52,57,61,62,63,64,67,70,84].
Figure 3. UtA-PI Doppler index in diabetic versus non-diabetic pregnancies. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [14,18,41,52,57,61,62,63,64,67,70,84].
Medicina 59 01502 g003
Figure 4. UtA-S/D ratio Doppler index in diabetic versus non-diabetic pregnancies. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [18,32,61].
Figure 4. UtA-S/D ratio Doppler index in diabetic versus non-diabetic pregnancies. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [18,32,61].
Medicina 59 01502 g004
Figure 5. UtA-PI Doppler index in diabetic versus non-diabetic pregnancies according to the time of Doppler measurements. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [14,18,41,52,57,61,62,63,64,67,70,84].
Figure 5. UtA-PI Doppler index in diabetic versus non-diabetic pregnancies according to the time of Doppler measurements. The green squares represent each study individual SMD and the extending lines the 95% confidence intervals. The black diamond represents the overall estimate result [14,18,41,52,57,61,62,63,64,67,70,84].
Medicina 59 01502 g005
Table 1. Systematic review.
Table 1. Systematic review.
Study CharacetristicsCasesControls
Author (Year) Country
Study Design
Artery-IndexDM Type (White Classification)nCharacteristicsGlycaemia
HbA1c
Maternal Age aGestational Age bWeight
BMI
nCharacteristicsMatched (Variable)Maternal AgeGestational AgeWeight
BMI
Olofsson (1987) [29] Sweden
NR
UA-PIDM40Diabetic pregnanciesNR
NR
29.2
(19–39)
26–34 (I test)
35–37 (II test)
37-delivery (III test)
37–42–term delivery in 37
<37–preterm delivery in 2
>42–post-term delivery in
NR
NR
21Healthy women with uncomplicated pregnanciesNoNRNRNR
NR
Landon (1989) [30]
USA
NR
UA-S/D ratioDM
(B, C, D, F/R)
35Insulin-dependent diabetic pregnant womenNR
NR
NR18–28 (at assessment)NR
NR
117Normal non-diabetic pregnant womenNoNR18–38
(at assessment)
NR
NR
Friedman
(1989) [31]
USA
prospective study
UA-S/D ratioDM18Pregnant diabetic women with a genetic risk of heart disease or exposure
to potential teratogens
NR
NR
NR16–38 (at assessment)NR
NR
113Normal pregnant womenNoNR14–41
(at assessment)
NR
NR
Brown (1990) [32] Australia
NR
UA-RI
UA-S/D ratio
UtA-RI
UtA-S/D ratio
GDM44Diabetic pregnant womenNR
NR
NR>26 (at assessment)
38 ± 2 (at delivery)
NR
NR
167Normal pregnanciesNoNR>26 (at assessment)
40 ± 2 (at delivery)
NR
NR
Johnstone
(1992) [33]
UK
prospective study
UA-PIDM type 1 (B, C, D, F/R)
GDM (A2)
128Insulin-dependent diabetic pregnant womenNR
NR
NR>28 (at assessment)NR
NR
119Non-diabetic pregnant womenNoNR>28 (at assessment)NR
NR
Zimmermann
(1992) [34] Finland
prospective study
UA-RIDM type 1 (B, C, D, F/R)53Insulin-dependent diabetic pregnant women6.2 ± 2.0 mmol/L
6.6 ± 1.1%
26.8 ± 5.6>17 (at assessment)
37.7 ± 1.3 (at delivery)
NR
>27 kg/m2 in 11 (21%) women
30Non-diabetic normal pregnancies at 37–38 weeks gestation with subsequently normal fetal outcomeNoNR37–38 (at assessment)NR
NR
Pachi (1993) [35]
Italy
NR
UA-PIDM type 1 (B, C, D, R)30 Total
Group I–10
Group II–10
Group III–10
Insulin-dependent diabetic pregnant womenGroup I (<6.7 mmol/L): 5.5 ± 0.5 mmol/L
Group II (6.1–7.2 mmol/L): 6.8 ± 0.3 mmol/L
group III (>7.2 mmol/L) 8.1 ± 0.6, mmol/L
NR
Group: I
30.3 ± 3.0
Group: II 29.0 ± 3.1
Group: III
29.2 ± 3.8
31 and 34 (test 1 and 2)Pre-pregnancy weight (kg)
Group I 54.3 ± 3.0.
Group II 55.2 ± 3.3
Group III 56.7 ± 3.4
NR
150Healthy pregnant womenNoNRNRNR
NR
Gagnon (1994) [36]
Canada
NR
UA-RIDM type 1
DM type 2
GDM
37 Total
17 DM (16 type I + 1 type II)
20 GDM
Diabetic pregnant women without diabetic retinopathy or nephropathyDM (mean ± se)
128.0 ± 1.4 mg/dL, at 30 gw,
108.2 ± 1.3 mg/dL at 38 gw
GDM
(mean ± se)
121.5 ± 5.4 mg/dL at 30 gw, 109.0 ± 2.9 mg/dL, at 31 gw
NR
NR30, 33, 36 (at 1st assessment and weekly
thereafter until delivery)
DM mean (range)
38.2 (35–40)
GDM 38.5 (36–40)
NR
>27.3 kg/m2 in 3 DM and 18 GDM
14Pregnant women with normal glucose metabolism defined as both screening tests negative (at 28 and 36 gw)NoNR40.1 (37–41)
mean (range)
(at delivery)
NR
>27.3 kg/m2 in 1 control
Weber
(1994) [37]
USA
NR
UA-S/D ratioDM type 1 (B, C, D, F, RF)9Well-controlled insulin-dependent diabetic pregnant women without HTA or PENR
4.5 ± 0.6%, (20–26 gw)
4.6 ± 0.9%, (27–33 gw)
4.1 ± 0.3%, (34–40 gw)
3.8 ± 0.3%, (at delivery)
NR20–26 (test 1)
27–33 (test 2)
34–40 (test 3)
38.1 ± 1.06 (at delivery)
NR
NR
11Nondiabetic volunteers randomly selected with normal medical histories and normal oral glucose tolerance tests excluding gestational diabetesNoNR20–26 (test 1)
27–33 (test 2)
34–40 (test 3)
40.6 + 91.3 (at delivery)
NR
NR
Santolaya
(1994) [38]
USA
NR
UA-RIGDM10Obese GDM women with preconceptional weight > 90.7 kgNR
NR
28.3 ± 1.8>20 (at assessment)
37.6 ± 0.9 (at delivery)
over 70.9 kg
NR
18 Total
9-1st control
9-2nd control
1st control—obese woman
2nd control—obese women with PIH
No1st control-24.7 ± 1.7
2nd control-30.0 ± 3.4
>20 (at assessment
1st control-38.8 ± 0.7 (at delivery)
2nd control-36.9 ± 1.8 (at delivery)
over 70.9 kg
NR
Gazzolo (1995) [39]
Italy
NR
UA-RIGDM71GDM pregnancies:
treated with diet and insulin–Group A and group with abnormal neonatal neurological outcome-Group B
Group A GLY I 6.35 ± 2.72 mmol/L (27–32 gw)
GLY II 5.97 ± 2.60 mmol/L (33–36 gw)
Group B GLY I 6.08 ± 1.41 (27–32 gw)
GLY II 5.91 ± 1.72 mmol/L (33–36 gw)
NR
NR27–32 (test 1)
33–36 (test 2)
NR
NR
100Healthy pregnanciesNoNR27–32
(test 1)
33–36
(test 2)
NR
NR
Saldeen (1996) [40]
Saudi Arabia
case-control
UA-PIDM type 2
GDM
21 total
2 DM type 2
9 GDM
10 impaired glucose tolerance
Pregannat women with DM type 2, GDM or impaired
glucose tolerance
NR
0.079 ± 0.003%
(mean ± se)
NRNR
271.8 ± 1.9 (mean ± se)
NR
NR
10Healthy women with normal pregnancies undergoing repeated
elective cesarean section
NoNR269.0 ± 1.1 days (mean ± se)NR
NR
Grunewald (1996) [41]
Sweden
NR
UA-PIDM type 1
(B, C, D, F, R)
24Pregnant women with well-controlled insulin-dependent pregestational diabetesRandom blood glucose 5.8 mmol/L (1.8–14.3), med (range)
At test I
4.2 mmol/L (1.8–8.4), med (range),
At test II
5.6 mmol/L (3.6–9.4), med (range)
4.7% (3.6–7.1), med (range)
28 (19–37), med (range)31 (29–33) (test I), med (range)
35 (33–37) (test II), med (range)
38 (35–40) (at delivery), med (range)
1st trimester65 kg (52–91)
med (range)
38 gw 81 kg (69–107) med (range)
NR
25Healthy low risk pregnant womenNo27 (21–37), med (range)31 (29–33) (test I), med (range)
35 (33–37) (test II), med (range)
39 (38–42) (at delivery), med (range)
1st trimester 59 kg (49–74), med (range)
38 gw 76 kg (60–89) med (range)
NR
Weiner
(1996) [42]
USA
NR
UA-S/D ratioDM type 1
(B, C, D, F, R)
GDM (A)
120Well-controlled diabetics with mean blood glucose levels below 95 mgNR
NR
29.89 ± 5.4, (mean ± 2 sd)
DM class A
30.2 ± 5.9 (mean ± 2 sd) DM class B–R
>30 (at assessment)
DM class A 38.3 ± 1.7 (mean ± 2 sd)
DM class B-R 37.7 ± 5.18(mean ± 2 sd), at delivery
NR
NR
55Non-diabetic low-risk pregnant womenNo29.4 ± 6.4>30 (at assessment)
39.7 ± 1.4 (mean ± 2 sd)
NR
NR
Ursem
(1999) [43]
Italy
Not clear
(prospective cross-sectional)
UA-PIDM type 1 (B, C, R, F/R)16Well-controlled insulin-dependent diabetic pregnant womenNR
6.3% (6.1–7.1), med (range) at 1st trimestar
32
(23–32)
med (range)
18 (12–21), med (range)
(at assessment)
38 (30–40), med (range)
(at delivery)
NR
NR
16Normal controlsYes (gestational age)32 (15–39), med (range)18 (12–21) (at assessment), med (range)
40 (37–42) (at delivery), med (range)
NR
NR
Boito
(2003) [44]
Netherlandscross-sectional
UA-PIDM type 1 (B, C, D, R, F/R)32Pregestational insulin-dependent DM singleton pregnant womenNR
6.7% (4.5–12.5), mean (range)
31 (19–39) (mean-range)25.7 (18–36), mean (range)
37.4 (28–41), mean (range)
NR
NR
32Uncomplicated pregnanciesYes (gestational age)31 (19–42), mean (range)25.6 (19–36), mean (range)NR
NR
Tan
(2005) [45]
Malaysia
case-control
UA-RIDM type 1
DM type 2
GDM
50 Total
10 pre-existing DM
25 GDM
15 impaired glucose tolerance
Pregnant women with pre-existing DM, GDM or impaired glucose tolerance at 36 gw of amenorrhea according to the WHO 1985 criteriaNR
6.53 ± 1.14%
NR>36 (at assessment)
NR
NR
NR
50Normal pregnanciesYes (maternal age, parity, and gestation)NR>36 (at assessment)
NR
NR
NR
Florio
(2006) [46]
Italy
cross-sectional
UA-PI
MCA-PI
GDM (A1)13GDM pregnancies complicated by fetal macrosomia without superimposed hypertensive disorders,
preterm labor, or infection
NR
NR
27.9 ± 1.1 mean ± se40.1 ± 0.2 (at delivery)NR
NR
40Uneventful, term gestation and delivery of a healthy infantNo28.7 ± 1.239.3 ± 0.1 (at delivery)NR
NR
Girsen
(2008) [47]
Finland
cross-sectional
UA-NRDM type 1 (B, C, D, F)32 Total
22 Group 1
10 Group 2
2 groups according to the HbA1c value in the 1st trimester.
Group 1 (good glycemic control—HbA1c < 7.5%
Group 2 (poor glycemic control–HbA1c ≥ 7.5%)
NR
Group 1:
6.5 ± 0.7,
1st trimester
6.0 ± 0.8,
2nd trimester
5.9 ± 0.8
3rd trimester
Group 2:
8.6 ± 0.8,
1st trimester
7.5 ± 0.8,
2nd trimester
7.3 ± 0.5
3rd trimester
Group 1
31 (18–44), med (range) Group 2
29 (21–39), med (range)
Group 1
37.3 ± 2.1 (at delivery)
Group 2
36.8 ± 1.7 (at delivery)
NR
NR
60Healthy, non-diabetic women after uncomplicated pregnancy and deliveryNoNR40.4 ± 1.2 (at delivery)NR
NR
Russell
(2009) [48]
Ireland
prospective study
UA-PIDM type 1 (B, C, D, F, R, F/R)45Pregnant women with pregestational diabetes lasting for 16.5 ± 8.7 years.NR
7.5 ± 1.5% Early pregnancy 6.6 ± 0.9% at 14 gw
6.2 ± 0.8% at 20 gw
6.3 ± 0.8% at 36 gw
32 ± 438 ± 1 (at delivery)NR
26.13 ± 4.34 kg/m2,
39Uncomplicated pregnancies with no evidence of impaired glucose
tolerance, without glycosuria
during their pregnancy or any
other indication for formal glucose tolerance
testing
No32 ± 539 ± 1 (at delivery)NR
22.97 ± 3.57 kg/m2,
To (2009) [49]
China
prospective study
UA-PIGDM78 Total
16 GDM
62 IGT
Pregnant women before 24 gw with risk factors for GDM such as advanced age (>35
years at expected date of confinement), obesity (BMI > 25), family history of type I or type II
diabetes, significant obstetric history of previous
GDM, previous fetal macrosomia, or previous unexplained stillbirths.
NR
NR
33.1 ± 5.438.3 ± 1.15 (at delivery) NR
NR
62Non-diabetic non-hypertensive patients between 36
and 40 gw randomly selected during the same study period when they
were scanned for placental location, fetal size, or
liquor volume or fetal presentation
No30.8 ± 5.038.9 ± 1.41 (at delivery)NR
NR
Parlakgumus
(2010) [50]
Turkey
prospective study
UA-S/D ratioDM type 1
DM type 2
GDM
20Pregnant women with pre-gestational and gestational DMNR
NR
33.2 ± 4.1837.2 ± 2.25 (at delivery)71.6 ± 7.4 kg
NR
25Healthy pregnant women whose 50 g glucose tolerance
test at 24 weeks was found to be normal
No34 ± 4.2438.6 ± 1.52 (at delivery)69.4 ± 6.9 kg
NR
Turan
(2011) [51]
USA
prospective study
UA-PIDM63Insulin-dependent pregestational DM with moderate to poor glycemic controlNR
7.5% (5.1–12.7), med (range)
32.5 ± 6.6812.5 ± 0.59 (at assessment)NR
32.6 kg/m2 (19–61), med (range)
63Pregnant women without DMYes (gestational age, UA and DV indices)32.1 ± 6.0312.6 ± 0.55 (at assessment)NR
25.0 kg/m2 (17–42), med (range)
Nanda
(2012) [52]
UK prospective study
UtA-PIGDM60Pregnant women between 11+0 and 13+6 gw with GDM attending routine first pregnancy control visitNR
NR
32.0 (28.5–35.6), med (IQR)89.1 days (86.2–93.1) (at assessment), med (IQR)
38.5 (38.1–39.6) (at delivery), med (IQR)
76.5 kg (64.3–94.0), kg, med (IQR)
28.6 kg/m2 (24.6–34.2), med (IQR)
240Pregnancies with no medical
complications, such as hypertensive disorders or diabetes
mellitus, resulting in the birth after 37 weeks’ gestation of
phenotypically normal neonates with birth weight between
the 5th and 95th percentiles for gestational age
Yes (NR)33.0 (27.3–35.9), med (IQR)88.9 days (86.1–91.2) (at assessment), med (IQR)
39.7 (38.6–40.5) (at delivery), med (IQR)
64.0 kg (58.9–70.0), med (IQR)
23.8 kg/m2 (21.7–26.2), med (IQR)
Fouda (2013) [53]
Egypt
prospective study
UA-RIDM type 1
DM type 2
69 Total
23 Pre-gestational DM
22 GDM
24 DM + HTA
Pregnant women with high (maternal age above 35 years,
obesity, family history of diabetes mellitus,
glycosuria, past history of gestational diabetes, infant
macrosomia and unexplained stillbirth) and low risk after the first antenatal visit.
NR
5.66 ± 0.8%
26.35 ± 2.637.21 ± 0.75 (at delivery)NR
NR
27Uncomplicated pregnanciesNo25.96 ± 2.1837.69 ± 0.75 (at delivery)NR
NR
Suranyi (2013) [54]
Hungary
case-control study
UA-PIDM type 1 (B, C, D)GDM (A1, A2)99 Total
43 DM
56 GDM
DM type I with good glycemic control (HgA1c: 20–42 mmol/mol)NR
NR
DM
32 ± 5
GDM
33 ± 5.1
DM
31 ± 7+4 (at assessment)
GDM 30+6 ± 6+4 (at assessment)
NR
NR
113Non-pathological control groupNo30.7 ± 5.428+4 ± 5+5 (at assessment)NR
NR
Savvidou (2013) [55]
UK
prospective study
UtA-PIGDM1037Pregnant women attending their routine first hospital visit between 11+0 and 13+6 gwNR
NR
32.8 ± 5.489.2 ± 4.2 days (at assessment)
38.6 ± 1.4 (at delivery)
NR
29.9 ± 6.7 kg/m2
56 649Normoglycemic controlsNo30.7 ± 6.089.0 ± 4.1 days (at assessment)NR
25.4 ± 5.1 kg/m2
Shabani Zanjani (2013) [21]
Iran
cross-sectional study
UA-PI
UA-RI
UA-S/D ratio
MCA-PI right and left
MCA-RI right and left
MCA-S/D ratio right
GDM33Singleton pregnant woman with at least 24 gw without any history of DM, PE, renal diseases, blood disorders, and hyperlipidemia113.50 ± 25.03 mg/dL
NR
31.21 ± 5.9434.46 ± 2.62 (at assessment)
NR
NR
NR
33The non-GDM pregnant
women selected from the same perinatology clinic
during the same period of time
Yes (gestational age)26.31 ± 7.5934.64 ± 3.24NR
NR
Li (2014) [56]
China prospective cohort study
UA-PIGDM226Pregnant GDM Chinese women who delivered babies at the obstetric department of the first affiliated hospitalNR
NR
29.48 ± 3.54274.70 ± 8.03 days (at delivery)52.57 ± 7.13 kg, prepregnancy
68.16 ± 8.58 kg (at delivery)
20.64 ± 2.46 kg/m2, prepregnancy
519Non-GDM pregnant womenNo28.32 ± 3.52274.42 ± 9.69 days (at delivery)51.58 ± 6.79 kg (prepregnancy)
67.76 ± 7.93 kg (at delivery)
20.11 ± 2.33 (prepregnancy)
Gonzales Gonzales (2014) [57]
Spain
Not clear
(prospective case-control study)
UtA-PIDM type 1
DM type 2
69 Total
44 DM type 1
25 DM type 2
Pregnant women with pregestational DM undergoing 1st trimester combined screening for aneuploidiesNR
6.50 ± 0.87%
32.5 ± 4.611–13 (at assessment)
273 days (266–280), med (IQR) (at delivery)
78.4 ± 17.0 kg
29.2 ± 5.7 kg/m2
94Cases without pregestational
diabetes
Yes (maternal characteristics in
terms of chronic hypertension, obesity and smoking status)
30.7 ± 6.4281 days (274, 286), med (IQR) (at delivery)73.5 ± 15.0 kg
27.9 ± 5.4 kg/m2
Moran (2014) [58] Ireland
prospective cohort study
UA-PI
MCA-PI
UtA-PI
DM type 1
DM type 2
50 Total
37 DM type 1
13 DM type 2
Pregnant women with pregestational type 1 and type 2 DMNR
NR
33 (21–45) n (range/%)12+2 to 39+5 (at assessment)NR
24.43 kg/m2 (18.44–79.8), mean (range)
250Normal controls defined as no pv bleeding at any stage in the pregnancy, no medical disorder requiring treatment, e.g., diabetes,
or any degree of hypertension,
fetal anomaly or a suspicion or diagnosis of intrauterine growth restriction
No31 (16–44), n (range/%)12+6 to 39+5 (at assessment)NR
25.43 kg/m2 (16.16–50.97), med (range)
Bhorat (2014) [59] South Africa
Not clear (prospective cross-sectional study)
UA-RI
MCA-RI
GDM (A2)29Women with suboptimally to poorly
controlled insulin-dependent GDM diabetes in the 3rd trimester
11.9 mmol/L (8.3–15.9), med (IQR)
NR
32 (30–33), med (IQR)35 (34–36), med (IQR)
(at assessment)
38.35 (37.71–38.71), med (IQR) (at delivery)
NR
NR
29Normal pregnanciesYes (gestational age, maternal age)32 (30–33), med (IQR)35 (34–36), med (IQR) (at assessment)
39.43 (39–39.71), med (IQR) (at delivery)
NR
NR
Pala (2015) [60] Turkey case-control studyUA-PI
MCA-PI
GDM39Singleton pregnancies between 24 and 39 gwNR
NR
30.05 ± 5.56 34.92 ± 3.16NR
NR
42Healthy singleton pregnancies between
24 and 39 gw
Yes (gestational age, maternal age, and parity)29.32 ± 5.7933.65 ± 3.64NR
NR
Liu (2016) [61] China
Not clear (observational study)
UA-PI
UA-RI
UA-S/D ratio
MCA-PI
MCA-RI
MCA-S/D ratio
UtA-PI
UtA-RI
UtA-S/D ratio
GDM147Singleton pregnant women aged 25–38 years, between 37 and 40 gw (within 1 week before delivery) with an OGTT performed in the 2nd trimester,
and gestational age calculated from the first day of the last normal menstrual period and confirmed by the 1st trimester ultrasound scans
NR
NR
30.80 ± 3.0038.0 ± 0.68 (at assessment)73.50 ± 12.06 kg, (at assessment)
23.87 ± 3.58 kg/m2 (prepregnancy)
124Normal pregnanciesNo29.94 ± 3.6038.0 ± 0.65 (at assessment)70.35 ± 9.35 kg, (at assessment)
22.24 ± 3.20 kg/m2 (before pregnancy)
Peixoto (2016) [14] Brazil
retrospective cohort study
UA-PI
MCA-PI
UtA-PI
GDM56Pregnant women who underwent 3rd-trimester ultrasound exams between 26w0d and 37w6d of gestationNR
NR
27.60 ± 6.5032.3 ± 3.1 (at assessment)
38.2 ± 1.5 (at delivery)
82.90 ± 15.50 kg
33.30 ± 7.30 kg/m2
684NRNo25.40 ± 6.3032.7 ± 2.9 (at assessment)
37.8 ± 2.8 (at delivery)
71.90 ± 17.00 kg
27.30 ± 6.10, kg/m2
Farshchian (2017) [62] Iran
case-control study
UtA-PIDM
GDM
40 Total
20 DM
20 GDM
Pregnant women with gestational age of 20 to 40 gw with DM or GDM.
DM pregnant women had the condition for less than 5 years, without vascular diseases, and their blood glucose was under control.
NR
NR
DM
37.85 ± 4.99
GDM
35.55 ± 3.63
DM
31.70 ± 3.64
GDM
31.9 ± 4.41
NR
NR
20Normal healthy mothers without hyperglycemia
with gestational age between 20 and 40 gw
Yes (gestational age, maternal age)35.55 ± 6.0132.45 ± 3.34NR
NR
Bugatto (2017) [63] Spain
prospective cohort study
UtA-PIGDM (A1, A2)25Pregnant women diagnosed with GDM in the 2nd or 3rd trimester of gestation. 80.5 ± 9.4 mg/dL
NR
31.4 ± 6.036.1 ± 0.4NR
26.6 ± 6.0 m/kg2 (pregravid)
25Non-GDM pregnant womenNo30.5 ± 4.536.0 ± 0.5NR
29.06 ± 5.0 (pregravid)
Sweeting (2017) [64] Australia
case-control study
UtA-PIGDM248 Total
89 Early GDM
138 Standard GDM
Pregnant women who had a diagnosis of GDM made at any timepoint during pregnancy, retrospectively identified by review of pathology and electronic medical records who referred for evaluation of 1st-trimester aneuploidy and PE screening at 11–13+6 gwNR
NR
33 (30–36), med (IQR)All GDM women
275 days (271–280) med (IQR)
Early GDM
274 days (269–280) med (IQR)
Standard GDM
276 days (271–280) med (IQR)
(at delivery)
All GDM
64.4 kg (58.2–75.4), med (IQR)
Early GDM
64.5 kg (58.0–76.3), med (IQR)
Standard GDM
64.6 kg (59.6–75.2), med (IQR)
24.5 (22.5–28.3)kg/m2, med (IQR) (at assessment)
732Women with a normal OGTT or GCT at
24 to 28 gw, randomly selected
based on gestational age (via measurement
of first trimester fetal crown rump length on ultrasound)
Yes (NR)32 (29–35) med (IQR)279 days (173–285), med (IQR) (at delivery)63.7 kg (57.4–71.7), med (IQR) (at assessment)
23.3 (21.6–26.1) kg/m2, med (IQR) (at assessment)
Meiramova (2018) [65] Kazahstan
NR
UA-PIGDM61 Total
24 Mild GDM
37 Moderate GDM
Pregnant women with mild and moderate GDM severity between 18–42 gwNR
NR
32.8 ± 6.31430–32 (I test) and
first day of delivery (II test)
37.16 ± 3.348 (at delivery)
NR
31.1 ± 7.433 kg/m2 (pre-gravid)
39Pregnant women with normal glucose toleranceNo30 ± 5.43238.85 ± 1.247 (at delivery)NR
24.9 ± 5.434 kg/m2 (pre-gravid)
Moodley (2018) [66] Canada
prospective study
MCA-RI
UA-RI
DM
GDM
43 Total
22 DM
21 GDM
Pregnant women referred to the Heart Center by their obstetricians for fetal echocardiography due to risk factors or concerns for fetal congenital heart disease, in keeping with indications established in recent guidelines for diagnosis and treatment of fetal cardiac diseaseNR
NR
33.3 ± 3.722.3 ± 2.2 (at assessment)85.4 ± 26.3 kg, (pre-pregnancy)
32.8 ± 9.9 kg/m2 (pre-pregnancy)
23Healthy pregnant women referred for a family
history of congenital heart disease,
teratogen exposure, difficulty viewing all structures
of the fetal heart, suspicion of abnormal fetal
cardiac structures on screening ultrasound,
increased nuchal thickness and a finding of an
echogenic foci, all with normal fetal
echocardiograms on assessment
No31.6 ± 8.222.2 ± 2.4 (at assessment)60.4 ± 7.6 kg (pre-pregnancy)
23.5 ± 2.6 kg pre-pregnancy
Wong (2018) [67] Taiwan
Not clear (prospective case-control study)
UtA-PIGDM31Singleton pregnancies with GDMNR33.58 ± 4.3212.52 ± 0.51 and 21.90 ± 0.65 (at assessment)
37.97 ± 1.89 (at delivery)
NR
25.13 ± 5.95 kg/m2
124Those who passed the GCT or OGTTNo31.72 ± 3.3112.49 ± 0.55 and 22.01 ± 0.52 (at assessment)
38.84 ± 1.23 (at delivery)
NR
21.35 ± 3.23 kg/m2
Ciobanu (2019) [22]
UK
prospective study
MCA-PIDM type 1
DM type 2
40
15 DM type 1
25 Dm type 2
Singleton pregnancies with DMNR
NR
NRNRNR
NR
71,565Pregnant women without DMNoNRNRNR
NR
Dantas (2019) [68] Brazil
cross-sectional study
UA-PI
MCA-PI
GDM115Singleton pregnant women presenting for prenatal follow-up who were diagnosed with GDM in 2nd or 3rd trimester referred to the outpatient pregnancy risk reference centerFasting blood glucose 4.91 ± 0.78, mmol/L
Postprandial blood glucose 6.45 ± 1.46, mmol/L
5.69 ± 0.95%
32.2 ± 6.52nd or 3rd trimester (at assessment)
30.1 ± 3.7 (at delivery)
NR
30.9 ± 5.4, kg/m2
Category-18.5–24.9-17 (14.8%)
-25.0–29.9-34 (29.6%)
-≥30.0–64 (55.7%)
123Women without GDM (i.e., negative OGTT results) who were in the second or third trimester of
pregnancy and attending basic healthcare units
No30.7 ± 6.32nd or 3rd trimester (at assessment)
31.2 ± 2.3 (at delivery)
NR
27.0 ± 3.9, kg/m2
Category:
-18.5–24.9 31 (25.2%)
-25.0–29.9-49 (39.8%)
-≥30.0–43 (35.0%)
Bhorat (2019) [69] South Africa
Not clear (prospective cross-sectional study)
UA-RIGDM54Women with GDM in the 3rd trimesterNR
NR
NR3rd trimester (at assessment)NR
NR
54Randomly selected from the antenatal clinic and
who were not diabetic as defined by the WHO
criteria of a 2 h level < 7.8 mmol after a 75 g
OGTT
Yes (gestational age, maternal age, parity,
gravidity, BMI, and past obstetric history)
NR34.05 ± 1.03 (at delivery)NR
NR
Gasiorowska (2020) [70] Poland
NR
UtA-PIDM38Singleton pregnancies at about 20 gwNR
5.6 ± 0.95%
(at 20 gw, at assessment)
29.8 ± 4.7at about 20 (at assessment)65.3 ± 14.6 kg (pregestational)
23.7 ± 5.1, kg/m2 (pregestational)
961Healthy pregnant womenNo28.5 ± 5.3at about 20 (at assessment)66.2 ± 12.4 kg (pregestational)
24.3 ± 4.7 kg/m2(pregestational)
McLaren (2020) [71]
USA
Not clear
(prospective cross-sectional study)
MCA-PIDM
GDM
30 Total
20 DM
10 GDM
Pregnant diabetic women 18–45 years old with a gestational age of 18–36 weeksNR
NR
NRDM
218.47 ± 34.80 days (at assessment)
Pregestational DM
218.15 ± 36.71 days (at assessment)
GDM
219.10 ± 32.50 days (at assessment)
NR
NR
34Low risk pregnancies without DM No28 ± 6.128.8 ± 6.4 (at assessment)NR
26.5 ± 4.0 kg/m2 (at assessment)
Bachani (2020) [72]
India
Not clear
(observational study)
UA-PI
MCA-PI
GDM31Women with GDM on treatmentNR
NR
28.74 ± 4.1235 (at assessment)NR
26.07 ± 3.32 kg/m2 (at assessment)
40Singleton uncomplicated pregnanciesNo27.22 ± 3.5635 (at assessment)NR
24.44 ± 2.97 kg/m2
Tenenbaum-Gavish (2020) [73] Israel
prospective study
UA-PIGDM20Women carrying a singleton viable gestation when undergoing combined first trimester screening for aneuploidy with GDM managed either by diet (GDMA1) or treated by glyburide or insulin (GDMA2)NR
NR
33.4 (30.7–36.1) mean (95%CI)at 11+0 to 13+6-12.7 (12.3–13.1) mean (95%CI) (at assessment)
39.0 (38.3–39.6) mean (95%CI)
NR
30.0 kg/m2 (27.0–33.0) mean (95%CI), (at assessment)
185Normal pregnancies delivering a healthy baby at termNo31.0 (30.3–31.6) mean (95%CI)12.6 (12.5–12.7) mean (95%CI) (at assessment)
39.6 (39.4–39.8) mean (95%CI) (at delivery)
NR
23.3 kg/m2 (22.8–23.9) mean (95%CI) (at assessment)
Lehtoranta (2020) [74] Finland
Not clear
(prospective case-control study)
UA-PI
MCA-PI
DM type 133Pregnant women recruited consecutively at the University Hospital outpatient maternity clinics during their first visitNR
NR
28.5 ± 4.9Between 34+2 and 40+2 (at assessment)
37.4 ± 1.5 (at delivery)
NR
26.1 ± 4.9, kg/m2 (prepregnancy)
67Healthy singleton pregnancies from outpatient maternity clinics with BMI < 30 kg/m2,
major serious illnesses and with normal 2 h oral glucose tolerance test at 24–28 gw
No28.0 ± 4.0Between 34+2 and 40+2 (at assessment)
39.5 ± 1.9 (at delivery)
NR
23.2 ± 3.4 kg/m2 (prepregnancy)
Phadungkiatwattana (2021) [75] Thailand
Not clear (prospective observational cross-sectional study)
UA-PI
MCA-PI
DM
GDM
138 Total
46 DM
92 GDM
Pregnant women with DM (pregestational with insulin usage and gestational with diet control)NR
5.8% (5.3–6.3) med (IQR)
33.8 ± 5.4Between 35 and 37, 36.05 ± 0.8 (at assessment)
38.33 ± 1.08 (at delivery)
NR
25.35 ± 5.10 kg/m2 (pregestational)
149Healthy pregnant womenNo29.0 ± 6.0Between 35 and 37, 36.05 ± 0.8 (at assessment)
38.78 ± 1.1 (at delivery)
NR
22.64 ± 3.72 kg/m2 (pregestational)
Wei (2021) [18] China
NR
MCA-PI
MCA-RI
MCA-S/D ratio
UA-PI
UA-RI
UA-S/D ratio
UtA-PI
UtA-RI
UtA-S/D ratio
GDM76Pregnant women with GDM admitted to the obstetric outpatient clinicNR
NR
28.71 ± 4.6227.88 ± 2.31 (at assessment)NR
NR
76Healthy pregnant womenNo28.62 ± 4.5526.37 ± 2.35 (at assessment)NR
NR
Zhang (2021) [76] China
NR
MCA-PI
MCA-RI
MCA-S/D ratio
GDM80Pregnant women diagnosed as having GDM treated in the hospitalNR
NR
NRat 25th–28th (at assessment)
34.17 ± 3.88
NR
NR
80Healthy pregnant womenNoNR38.66 ± 2.75 (mean ± sd), at deliveryNR
NR
Alanyali (2021) [77] Turkey
prospectivecontrolled clinical trial
UA-PIDM type 1
DM type 2
30Outpatient pregnant women aged 18–45 years, between 24 and 26 gw according to the last menstrual period diagnosed pregestational DM type 1 or type 2NR
NR
32.00 ± 4.9924.57 ± 0.62 (at assessment)NR
NR
30Singleton healthy non-PE pregnant
women aged 18–45 years of age
without pregestational DM or additive diseases (HTA, cardiac disease, thyroid disorders,
systemic lupus erythematosus) with fetus without
congenital malformations
No27.53 ± 5.2224.53 ± 0.77 (at assessment)NR
NR
Mecacci (2021) [78]
Italy
case-control study
UA-PIDM type 1244Pregnant women with DM recruited before 10th gwNR
NR
28.3 (22–41) med (range)16th, 20th, and 24th (at assessment)NR
NR
488Singleton pregnant women with normal glucose tolerance test, and delivery after 20 gw followed up in the same maternal-fetal
outpatient unit
Yes (race, maternal age, pre-pregnancy BMI, nulliparity, weight gain during pregnancy in ratio 1:2)29.4 (16–41) med (range)16th, 20th, and 24th (at assessment)NR
23.7 (19.4–27.8) kg/m2 med (range)
Liu (2021) [79] China
NR
MCA-PI
MCA-RI
MCA-S/D ratio
GDM1268GDM pregnant womenNR
NR
31 mean38 mean (at assessment and delivery)NR
NR
10,922Non-GDM pregnanciesNo30 mean39 mean (at delivery, at assessment)NR
NR
Fatihoglu (2021) [80] Turkey prospective studyUA-PI
UA-RI
UA-S/D ratio
MCA-PI
MCA-RI
MCA-S/D ratio
GDM60GDM pregnant womenNR
NR
32 (20–46) med (range)at 18–22 (at assessment)NR
30 (24–35) kg/m + med (range)
61Healthy controlsYes (gestational age)26 (18–38) med (range)at 18–22 (at assessment)NR
28 (24–32) med (range)
Chen (2021) [81] China
cross-sectional study
UA-PIGDM30Singleton diabetic pregnancies at 24–40 gwFasting blood glucose: 4.78 (3.64–7.41) mmol/L, med (IQR)
1 h plasma glucose:
10.45 (3.32–14.62) mmol/L, med (IQR)
2 h plasma glucose:
9.10 ± 1.73
5.50 (4.80–6.70), med (IQR)
31.00 ± 2.9236–40 gestational weeks (at assessment)
39.30 (37.20–40.1) med (IQR)
39.30 (37.20–40.1) med (IQR) (at delivery)
NR
21.76 (17.80–27.58) kg/m2, med (IQR)
31Healthy pregnant mothersNo29.84 ± 3.07Fasting blood glucose:
4.29 (3.88–4.94) mmol/L med (IQR)
1 h plasma glucose:
6.91 (3.92–9.80) mmol/L med (IQR)
2 h plasma glucose:
6.46 ± 1.18 mmol/L
NR
21.00 (17.97–29.69) kg/m2
med (IQR)
Ali Hassan (2021) [82] Egypt
prospective study
UA-PI
UA-RI
MCA-PI
MCA-RI
GDM25 GDM
25 GDM + PE
Singleton pregnant women in 3rd trimester (28–39 gw) with age between 25–38 years with GDM, and combined GDM with PE defined as SBP > 140 mmHg and DBP > 90 mmHg)NR
NR
25–38 (range)28–39 (at assessment)NR
NR
253rd-trimester pregnant women of a single fetus between
28 and 39 gw without factor,
checked by measuring fasting plasma glucose concentration < 140 mg/dL and HbA1c < 6.5%.
No25–38
(range)
28–39 (at assessment)NR
NR
Jamal (2021) [83]
Iran prospective cohort study
UA-PI
UA-RI
UA-S/D ratio
MCA-PI
MCA-RI
MCA-S/D ratio
GDM123Pregnant women newly diagnosed with GDM at 24–28 gw treated with insulin or managed with dietNR
NR
31.5 ± 5.437–40 (at assessment)
38.6 ± 0.8 (at delivery)
NR
NR
123Women without GDMNo29.7 ± 5.637–40 (at assessment)
38.9 ± 0.8 (at delivery)
NR
NR
Perez-Martin (2022) [84] Spain
Not clear
(prospective and cross-sectional case control study)
UA-PI
MCA-PI
UtA-PI
GDM56GDM pregnancies83.6 ± 9.0 mg/dL
4.9 ± 0.3%
35.5 ± 4.128–32 (at assessment)
38.6 ± 1.5 (at delivery)
74.1 ± 18.9 kg (pregestational)
28.2 ± 6.2 kg/m2 (pregestational)
65Physicologic pregnancies with normal glucose screening
that were seen during the growth scan at 28–32 gw
No33 ± 530 ± 1.5 (at assessment)
39.3 ± 1.2 (at delivery)
66.5 ± 13.2 kg (pregestational)
25.1 ± 4.6 kg/m2 (pregestational)
Chatzakis (2022) [85] Greece
cross-sectional study
UA-PI
UtA-PI
GDM25GDM pregnanciesNR
NR
32.4 ± 4.032 ± 2.5 (at assessment)NR
27.3 ± 7.9 kg/m2 (prepregnancy)
30 ± 5.7 kg/m2 (at assessment)
25Uncomplicated pregnanciesYes (pre-pregnancy BMI, maternal age, and gestational age)30.4 ± 6.231 ± 3.2 (at assessment)NR
25.1 ± 5.2 kg/m2 (prepregnancy)
28.6 ± 5.0 kg/m2 (at assessment)
Karaca Kutulmus (2022) [86] Turkey
cross-sectional
UA-PI
MCA-PI
GDM45GDM pregnant women with poor glycaemic control and appropriate-for-gestational-age or macrosomic fetuses between 28 and 39 gwNR
NR
30.04 ± 5.33NR
33.13 ± 2.96 (at delivery)
NR
NR
49Healthy pregnant women on routine prenatal care with the appropriate-for-gestational-age fetuses between 29 and 41 gwYes (gestational age)28 ± 4.9133.40 ± 3.22 (at delivery)NR
NR
a maternal age is reported in years as mean ± sd, if otherwise then it is indicated; b gestational age is reported in gestational weeks (gw) as mean ± sd, if otherwise then it is indicated. Abbreviations: BMI—body mass index, DM—diabetes mellitus, DV—ductus venosus, DBP—diastolic blood pressure, GCT—glucose challenge test, GDM—gestational diabetes mellitus, HTA—hypertension, HbA1c—glycosylated hemoglobin, IGT—impaired glucose tolerance, NR—not reported, OGTT—oral glucose tolerance test, PE—preeclampsia, PIH—pregnancy-induced hypertension, SBP—systolic blood pressure.
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Perkovic-Kepeci, S.; Cirkovic, A.; Milic, N.; Dugalic, S.; Stanisavljevic, D.; Milincic, M.; Kostic, K.; Milic, N.; Todorovic, J.; Markovic, K.; et al. Doppler Indices of the Uterine, Umbilical and Fetal Middle Cerebral Artery in Diabetic versus Non-Diabetic Pregnancy: Systematic Review and Meta-Analysis. Medicina 2023, 59, 1502. https://doi.org/10.3390/medicina59081502

AMA Style

Perkovic-Kepeci S, Cirkovic A, Milic N, Dugalic S, Stanisavljevic D, Milincic M, Kostic K, Milic N, Todorovic J, Markovic K, et al. Doppler Indices of the Uterine, Umbilical and Fetal Middle Cerebral Artery in Diabetic versus Non-Diabetic Pregnancy: Systematic Review and Meta-Analysis. Medicina. 2023; 59(8):1502. https://doi.org/10.3390/medicina59081502

Chicago/Turabian Style

Perkovic-Kepeci, Sonja, Andja Cirkovic, Natasa Milic, Stefan Dugalic, Dejana Stanisavljevic, Milos Milincic, Konstantin Kostic, Nikola Milic, Jovana Todorovic, Ksenija Markovic, and et al. 2023. "Doppler Indices of the Uterine, Umbilical and Fetal Middle Cerebral Artery in Diabetic versus Non-Diabetic Pregnancy: Systematic Review and Meta-Analysis" Medicina 59, no. 8: 1502. https://doi.org/10.3390/medicina59081502

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