Abstract
Objectives
To investigate the effect of the combination of uterine artery (UtA) Doppler and vitamin D levels on perinatal outcomes in second trimester pregnants was aimed.
Methods
UtA Dopplers and vitamin D levels of 226 pregnant women in the second trimester were measured. Patients were followed for adverse pregnancy outcomes. The relationship of this combination with these pregnancy outcomes was evaluated.
Results
Sensitivity and specificity values are respectively; Left UtA-S/D ratio for preeclampsia was 85.29 and 81.77 %, left UtA-RI was 90.62 and 43.30 % for preterm birth, and 76.19 and 66.34 % for the development of fetal distress had the best predictive effect. Vitamin D values had no predictive value for any parameter (p>0.005).
Conclusions
UtA Doppler has a good predictive value for many adverse pregnancy outcomes. However, in order to correlate these results with second trimester vitamin D levels, more homogeneous and specific groups are needed.
Introduction
Uterine artery (UtA) Doppler (UAD) continues to be used increasingly as the best indicator of uteroplacental blood flow, even in the early weeks, to predict adverse pregnancy outcomes that may occur in advanced pregnancy [1]. The leading adverse pregnancy outcome is preeclampsia (PE), which is also an important cause of maternal death [2]. While the basic mechanism in PE is impaired placentation with abnormal trophoblast invasion, increased vascular resistance and impaired uteroplacental flow can present many conditions, including result in olgohydramniosis, spontaneous preterm birth (SPB), small for gestational age (SGA) newborn, fetal growth retardation (FGR) and fetal death [3], 4]. With this, various studies continue to be published regarding the gestational age at which UAD should be evaluated, and it takes its place in the literature day by day, both alone and with additional marker research to strengthen this prediction of UAD [5], 6]. In the literature, many markers, from histidine to high-temperature requirement protease A4 (HtrA4), from high mobility group box-1 (HMGB-1) to serum micro RNA-210, are being studied together with UAD in predicting negative future pregnancy outcomes [2], [7], [8], [9]. Studies on vitamin D, one of these markers, have produced different results in terms of the prediction of this marker alone on adverse pregnancy outcomes, especially PE [10], [11], [12], [13], [14]. While some studies suggest this predictive effect of vitamin D level [10], [11], [12], others reveal that it has no relationship [13], 14]. However, there is only one study in the literature that includes the relationship between UAD and vitamin D levels regarding this prediction [10].
In this context, the aim of this study is to investigate the effect of the combination of UAD and vitamin D level in predicting adverse pregnancy outcomes between 20+0−24+0 weeks of gestation.
Materials and methods
This study was carried out at Istanbul Medpiol University Faculty of Medicine Hospital between June 2021 and March 2024. UAD and vitamin D levels were measured in pregnant women between 20+0-24+0 weeks. In this context, all pregnant women between 20 + 0–24 + 0 weeks included in the study were evaluated for age, height, body weight, gravida, parity, abortion, previous obstetric history, additional internal diseases, previous surgery history, smoking status, aspirin and low molecular weight heparin. (LMWH) usage was asked and the information was recorded. Pregnant women were placed in a supine position on a flat stretcher with a full bladder, and the ultrasound (Voluson e6™) abdominal probe (c2-9 Mhz) was moved laterally from the midline in the longitudinal axis, from the mons pubis level to the spina iliac anterior superior (SIAS), and the iliac arteries were visualized. Then, it was colored and the right and left uterine arteries were visualized by angling the probe. Then, Doppler was turned on and uterine artery pulsatility index (PI), resistance index (RI) and systole/diastole ratio (S/D ratio) were obtained. Additionally, the presence of notch was evaluated. During the same weeks of pregnancy, the patients’ vitamin D levels were measured after a 12-h fast. For this, patients gave approximately 5 cc of blood. In the routine obstetric examinations of these patients in the following weeks of pregnancy, PE, SGA, FGR, fetal distress, oligohydramnios, decrease in baby movements, whether SPB developed or not, as well as birth weeks, delivery method, birth weight of the babies and APGAR scores were determined. The relationship of these results with the combination of UAD and vitamin D levels was determined.
The study received approval from the Istanbul Medipol University Ethics Committee (date: 25.05.2021, number: E−10840098-772.02-2385), informed consent was obtained from all participating volunteers, and the study was carried out in accordance with the Declaration of Helsinki.
Definitions
AGA: (babies with normal weight according to birth week) babies with birth weights between the 10th and 90th percentile, SGA; babies with birth weight below the 10th percentile and FGR. It was defined as being<10th percentile according to the baby’s birth week and accompanied by findings such as loss of end daystolic flow in umbilical artery Doppler. Preterm birth: it was defined as births occurring before 37 + 0 weeks of gestation. Accordingly, while early preterm birth was defined as births at 33 + 6 weeks and below, late preterm birth was defined as births between 34 + 0–36 + 6 weeks. Gestational hypertension: after the 20th week of gestation, blood pressure of 140/90 mmHg and above was defined as arterial presence, while the presence of at least 300 mg/day protein in urine was defined as PE. Severe PE: it was defined as arterial blood pressure≥160/100 mmHg, accompanied by proteinuria, as well as maternal organ damage or HELLP syndrome, which is accompanied by hemolysis, eclamptic convulsions, elevated liver enzymes and low platelets. Fetal distress was defined as late decelerations occurring after contraction in the non-stress test (NST) and/or the presence of an inverted A wave in ductus venosus Doppler.
Laboratory evaluation
Venous blood samples were collected after 8–12 h of fasting. After centrifugation, vitamin D level was measured by the chemiluminescence immunoassay method using the Advia Centaur XPT device (Siemens Healthcare Diagnostics Inc, Tarrytown, NY, USA). Fresh blood samples were used. The same devices and kits were used throughout the entire study.
Statistical analysis
Mean, standard deviation, median, minimum and maximum values in descriptive statistics of continuous variables; In defining categorical variables, frequency (n) and percentage (%) values are given. Normality assumptions of the variables were examined with the Kolmogorov Smirnov test. Mann–Whitney U test was used to compare continuous variables that did not show normal distribution between two groups. Relationships between categorical variables were examined with Chi-square/Fisher exact analysis. Univariate and multivariate logistic regression analysis was performed to determine the variables that predict adverse pregnancy outcomes. Receiver operating characteristics (ROC) analysis was performed to calculate sensitivity, specificity, positive and negative predictability values. IBM SPSS.25 program and MedCalc were used in the analyses, and p<0.05 was accepted as the significance level.
Results
According to power analysis, 226 patients were included in the study [7], 15]. The demographic characteristics and Doppler findings of the patients are given in Table 1. Comparative data of UAD parameters and vitamin D levels in pregnant women with and without PE, preterm birth and fetal distress are given in Table 2, and comparative data in pregnant women with and without SGA and FGR are given in Table 3. Univariate and multivariate logistic regression analyzes related to PE, preterm birth, fetal distress, SGA and FGR are given in Table 4, and the sensitivity and specificity values of the uterine artery in predicting PE, preterm birth, fetal distress, SGA and FGR are given in Table 5.
Medical and demographic characteristics of the patients.
Parameters | Number | % | Mean ± SD | Median (Min.-Max.) |
---|---|---|---|---|
Age, year | 226 | 27.75 ± 5.33 | 27 (18–41) | |
BMI, kg/m2 | 226 | 26.80 ± 4.65 | 26.3 (17.74–47.65) | |
Gravida | 226 | 2.50 ± 1.38 | 2 [1], [2], [3], [4], [5], [6], [7], [8], [9] | |
Parity | 226 | 1.17 ± 1.09 | 1 (0–5) | |
Systolic blood pressure arterial, mmHg | 226 | 109.52 ± 13.25 | 110 (80–147) | |
Diastolic blood pressure arterial, mmHg | 226 | 66.39 ± 8.71 | 67.5 (50–96) | |
Pregnancy week on USG, week | 226 | 22.21 ± 1.48 | 22 (20–24) | |
Pregnancy week in blood sample, week | 226 | 22.21 ± 1.48 | 22 (20–25) | |
Vitamıin D, µg/L | 226 | 15.77 ± 9.39 | 13.39 (3.55–87) | |
Right uterine artery pulsatility index (PI) | 226 | 1.09 ± 0.74 | 0.99 (0.13–7.59) | |
Right uterine artery resistance index (RI) | 226 | 0.86 ± 3.82 | 0.57 (0.19–58) | |
Right uterine artery systole/diastole (S/D) ratio | 226 | 3.42 ± 1.87 | 2.93 (0.13–9.87) | |
Left uterine artery PI | 226 | 1.46 ± 4.26 | 0.99 (0.06–64) | |
Left uterine artery RI | 226 | 0.60 ± 0.17 | 0.57 (0.26–1) | |
Left uterine artery S/D ratio | 226 | 3.53 ± 2.22 | 2.79 (0.45–18.5) | |
APGAR 1st minute | 226 | 7.96 ± 1.00 | 8 [4], [5], [6], [7], [8], [9] | |
APGAR 5th minute | 226 | 9.07 ± 0.89 | 9 [2],[5], [6], [7], [8], [9] | |
Pregnancy week at birth, week | 226 | 38.29 ± 1.91 | 38.5 (28–42) | |
Baby birth weight, gram | 226 | 3,118.77 ± 515.40 | 3,200 (1,100–4,200) | |
Presence of additional disease Epilepsy Goiter Chronic renal failure Hypthyroidism Obsessive compulsive disorder Rheumatic disease Cholelithiasis Pituitary adenoma Migraine Behçet Tuberculosis Varicosis Bipolar affective disorder Asthma FMF |
33 1 6 1 10 1 1 2 1 1 1 1 1 1 3 2 |
14.6 0.44 2.65 0.44 4.4 0.44 0.44 0.88 0.44 0.44 0.44 0.44 0.44 0.44 1.31 0.88 |
||
Cigarette | 20 | 8.8 | ||
Aspirin | 7 | 3.1 | ||
LMWH | 5 | 2.2 | ||
Notch in the right uterine artery | 12 | 5.3 | ||
Notch in left uterine artery | 14 | 6.2 | ||
Preterm birth Early preterm birth Late preterm birth |
32 7 25 |
14.2 21.9 78.1 |
||
SGA | 22 | 9.7 | ||
FGR | 17 | 7.5 | ||
Preeclampsia | 34 | 15 | ||
Fetal distress | 21 | 9.3 | ||
Oligohydramnios | 4 | 1.8 | ||
Decrease in baby movements | 4 | 1.8 | ||
Type of birth Vaginal birth Cesarean birth |
148 78 |
65.5 34.5 |
||
Cause of birth Travail Fetal distress Preeclampsia FGR Oligohydramnios Decrease in baby movements Premature membrane rupture Postmaturity |
188 23 1 1 4 5 3 1 |
83.2 10.2 0.44 0.44 1.8 2.2 1.31 0.44 |
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BMI, body mass index; FMF, familial mediterranean fever; LMWH, low molecular weight heparin; SGA, small for gestational age; FGR, fetal growth retardation.
Comparison of uterine artery and vitamin D parameters according to preeclampsia, preterm birth and fetal distress status.
No preeclampsia | Preeclampsia | ||||
---|---|---|---|---|---|
Mean ± SD | Median (min-max) | Mean ± SD | Median (min-max) | p-Value | |
Vitamin D | 16.20 ± 9.70 | 13.70 (5.01–87) | 13.32 ± 7.03 | 11.39 (3.55–31.49) | 0.078 |
Right uterine artery PI | 1.09 ± 0.73 | 1 (0.13–7.59) | 1.11 ± 0.81 | 0.95 (0.50–5.09) | 0.703 |
Right uterine artery RI | 0.90 ± 4.15 | 0.57 (0.19–58) | 0.59 ± 0.15 | 0.57 (0.33–0.99) | 0.495 |
Right uterine artery S/D ratio | 3.16 ± 1.72 | 2.70 (0.58–9.87) | 4.83 ± 2.08 | 4.97 (0.13–8.5) | <0.001 |
Left uterine artery PI | 1.12 ± 0.69 | 0.97 (0.06–4.79) | 3.42 ± 10.79 | 1.08 (0.54–64) | 0.014 |
Left uterine artery RI | 0.59 ± 0.17 | 0.57 (0.26–1) | 0.66 ± 0.18 | 0.62 (0.37–0.99) | 0.028 |
Left uterine artery S/D ratio | 3.06 ± 1.69 | 2.59 (0.45–8.76) | 6.19 ± 2.90 | 6.12 (1.20–18.5) | <0.001 |
|
|||||
n | % | n | % | ||
|
|||||
Right uterine artery notch (−) | 182 | 94.8 | 32 | 94.1 | 0.698 |
Right uterine artery notch (+) | 10 | 5.2 | 32 | 94.1 | |
Left uterine artery notch (−) | 182 | 94.8 | 30 | 88.2 | 0.236 |
Left uterine artery notch (+) | 10 | 5.2 | 4 | 11.8 | |
|
|||||
No preterm birth | Preterm birth | ||||
Mean ± SD | Median (min-max) | Mean ± SD | Median (min-max) | p-Value | |
|
|||||
Vitamin D | 15.81 ± 9.65 | 13.10 (3.55–87) | 15.54 ± 7.77 | 14.83 (4.32–32.43) | 0.931 |
Right uterine artery PI | 1.10 ± 0.77 | 0.98 (0.13–7.59) | 1.05 ± 0.45 | 1.02 (0.42–2.68) | 0.769 |
Right uterine artery RI | 0.89 ± 4.12 | 0.57 (0.19–58.00) | 0.64 ± 0.18 | 0.57 (0.29–0.99) | 0.327 |
Right uterine artery S/D ratio | 3.38 ± 1.80 | 2.89 (0.58–9.87) | 3.62 ± 2.29 | 2.99 (0.13–8.50) | 0.980 |
Left uterine artery PI | 1.43 ± 4.57 | 0.97 (0.06–64) | 1.70 ± 1.27 | 1.31 (0.58–6.22) | <0.001 |
Left uterine artery RI | 0.58 ± 0.17 | 0.56 (0.26–1) | 0.69 ± 0.17 | 0.65 (0.46–0.99) | <0.001 |
Left uterine artery S/D ratio | 3.53 ± 2.27 | 2.80 (0.45–18.5) | 3.55 ± 1.91 | 2.76 (0.57–8.19) | 0.696 |
|
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n | % | n | % | ||
|
|||||
Right uterine artery notch (−) | 183 | 94.3 | 31 | 96.9 | 1.00 |
Right uterine artery notch (+) | 11 | 5.7 | 1 | 3.1 | |
Left uterine artery notch (−) | 182 | 93.8 | 30 | 93.8 | 1.00 |
Left uterine artery notch (+) | 12 | 6.2 | 2 | 6.3 | |
|
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No fetal distress | Fetal distress | ||||
Mean ± SD | Median (min-max) | Mean ± SD | Median (min-max) | p-Value | |
|
|||||
Vitamin D | 15.86 ± 9.64 | 13.30 (3.55–87.00) | 14.86 ± 6.58 | 14.20 (5.84–28.82) | 0.992 |
Right uterine artery PI | 1.08 ± 0.76 | 0.95 (0.13–7.59) | 1.20 ± 0.45 | 1.07 (0.52–2.68) | 0.025 |
Right uterine artery RI | 0.88 ± 4.01 | 0.56 (0.19–58) | 0.64 ± 0.12 | 0.64 (0.40–0.99) | 0.057 |
Right uterine artery S/D ratio | 3.36 ± 1.85 | 2.79 (0.58–9.87) | 3.93 ± 2.04 | 3.95 (0.13–7.98) | 0.104 |
Left uterine artery PI | 1.45 ± 4.46 | 0.97 (0.06–64) | 1.61 ± 1.23 | 1.25 (0.29–6.22) | 0.005 |
Left uterine artery RI | 0.59 ± 0.18 | 0.56 (0.26–1) | 0.68 ± 0.13 | 0.66 (0.46–0.99) | 0.002 |
|
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n | % | n | % | ||
|
|||||
Right uterine artery notch (−) | 196 | 95.6 | 18 | 85.7 | 0.88 |
Right uterine artery notch (+) | 9 | 4.4 | 3 | 14.3 | |
Left uterine artery notch (−) | 194 | 94.6 | 18 | 85.7 | 0.106 |
Left uterine artery notch (+) | 11 | 5.4 | 3 | 14.3 |
-
PI, pulsatility index; RI, resistance index; S/D, systole/diastole ratio; (−), absent; (+), present; bold text is statistical significant.
Comparative data of uterine artery Doppler parameters and vitamin D levels in pregnant women with and without SGA and FGR.
No SGA | SGA | ||||
---|---|---|---|---|---|
Mean ± SD | Median (min-max) | Mean ± SD | Median (min-max) | p-Value | |
Vitamin D | 15.88 ± 9.48 | 13.50 (3.55–87) | 14.75 ± 8.64 | 11.54 (5.01–40) | 0.532 |
Right uterine artery PI | 1.09 ± 0.76 | 0.97 (0.13–7.59) | 1.12 ± 0.46 | 1.02 (0.45–2.11) | 0.412 |
Right uterine artery RI | 0.88 ± 4.02 | 0.57 (0.19–58) | 0.62 ± 0.15 | 0.58 (0.38–0.99) | 0.327 |
Right uterine artery S/D ratio | 3.30 ± 1.83 | 2.78 (0.13–9.87) | 4.48 ± 1.93 | 3.97 (1.60–7.98) | 0.003 |
Left uterine artery PI | 1.49 ± 4.48 | 0.97 (0.06–64) | 1.25 ± 0.48 | 1.11 (0.53–2.34) | 0.072 |
Left uterine artery RI | 0.59 ± 0.17 | 0.57 (0.26–1) | 0.66 ± 0.17 | 0.65 (0.34–0.99) | 0.045 |
Left uterine artery S/D ratio | 3.38 ± 2.15 | 2.76 (0.45–18.5) | 4.91 ± 2.35 | 4.78 (1.24–8.5) | 0.003 |
|
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n | % | n | % | ||
|
|||||
Right uterine artery notch (−) | 194 | 95.1 | 20 | 90.9 | 0.329 |
Right uterine artery notch (+) | 10 | 4.9 | 2 | 9.1 | |
Left uterine artery notch (−) | 192 | 94.1 | 20 | 90.9 | 0.633 |
Left uterine artery notch (+) | 12 | 5.9 | 2 | 9.1 | |
|
|||||
No FGR | FGR | ||||
Mean ± SD | Median (min-max) | Mean ± SD | Median (min-max) | p-Value | |
|
|||||
Vitamin D | 15.89 ± 9.65 | 13.21 (3.55–87) | 14.29 ± 5.34 | 15.05 (6.50–27.46) | 0.805 |
Right uterine artery PI | 1.06 ± 0.68 | 0.99 (0.13–7.59) | 1.46 ± 1.23 | 0.95 (0.13–5.09) | 0.300 |
Right uterine artery RI | 0.74 ± 0.19 | 0.71 (0.45–1.02) | 0.86 ± 3.17 | 0.57 (0.19–0.58) | 0.002 |
Right uterine artery S/D ratio | 3.29 ± 1.76 | 2.79 (0.13–8.5) | 4.93 ± 2.52 | 4.16 (1.40–9.87) | 0.005 |
Left uterine artery PI | 1.46 ± 4.42 | 0.97 (0.29–64) | 1.51 ± 1.46 | 1.25 (0.06–6.77) | 0.133 |
Left uterine artery RI | 0.59 ± 0.17 | 0.57 (0.26–1) | 0.68 ± 0.19 | 0.66 (0.30–0.99) | 0.029 |
Left uterine artery S/D ratio | 3.38 ± 1.92 | 2.78 (0.45–8.76) | 5.36 ± 4.18 | 4.32 (0.58–18.5) | 0.034 |
|
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n | % | n | % | ||
|
|||||
Right uterine artery notch (−) | 200 | 95.7 | 14 | 82.4 | 0.051 |
Right uterine artery notch (+) | 9 | 4.3 | 3 | 17.6 | |
Left uterine artery notch (−) | 198 | 94.7 | 14 | 82.4 | 0.077 |
Left uterine artery notch (+) | 11 | 5.3 | 3 | 17.6 |
-
PI, pulsatility index; RI, resistance index; S/D, systole/diastole ratio; (−), absent; (+), present; bold text is statistical significant, SGA, small for gestational age; FGR, fetal growth retardation.
Univariate and multivariate logistic regression analyzes associated with preeclampsia, preterm birth, fetal distress, SGA and FGR.
Univariate logistic regression analyzes | Multivariate logistic regression analyzes | |||||||
---|---|---|---|---|---|---|---|---|
B | Odds ratio | 95 % CI | p | B | Odds ratio | 95 % CI | p-Value | |
Preeclampsia | ||||||||
Right uterine artery S/D ratio | 0.414 | 1.513 | 1.259–1.818 | <0.001 | −0.187 | 0.829 | 0.611–1.125 | 0.229 |
Left uterine artery PI | 0.464 | 1.590 | 1.116–2.265 | 0.01 | 0.364 | 1.439 | 0.692–2.993 | 0.329 |
Left uterine artery RI | 2.182 | 8.865 | 1.215–64.661 | 0.031 | −2.188 | 0.112 | 0.002–6.415 | 0.289 |
Left uterine artery S/D ratio | 0.669 | 1.952 | 1.577–2.416 | <0.001 | 0.814 | 2.258 | 1.628–3.130 | <0.001 |
Preterm birth | ||||||||
Left uterine artery PI | 0.012 | 1.012 | 0.943–1.086 | 0.738 | ||||
Left uterine artery RI | 3.352 | 28.572 | 3.708–220.178 | 0.001 | ||||
Fetal distress | ||||||||
Right uterine artery S/D ratio | 0.175 | 1.192 | 0.736–1.930 | 0.476 | ||||
Left uterine artery PI | 0.008 | 1.008 | 0.922–1.101 | 0.866 | ||||
Left uterine artery RI | 2.798 | 16.416 | 1.512–178.287 | 0.021 | ||||
Left uterine artery S/D ratio | 0.163 | 1.177 | 0.997–1.389 | 0.055 | ||||
SGA | ||||||||
Right uterine artery S/D ratio | 0.284 | 1.328 | 1.081–1.632 | 0.007 | 0.154 | 1.167 | 0.873–1.559 | 0.296 |
Left uterine artery S/D ratio | 0.236 | 1.266 | 1.065–1.504 | 0.007 | 0.149 | 1.160 | 0.920–1.463 | 0.209 |
Left uterine artery RI | 1.957 | 7.081 | 0.668–75.093 | 0.104 | – | – | – | – |
FGR | ||||||||
Right uterine artery S/D ratio | 0.377 | 1.458 | 1.162–1.830 | 0.001 | 0.240 | 1.271 | 0.944–1.713 | 0.115 |
Left uterine artery RI | 2.704 | 14.946 | 1.103–202.443 | 0.042 | 1.640 | 5.153 | 0.244–1.728 | 0.292 |
Left uterine artery S/D ratio | 0.285 | 1.330 | 1.096–1.613 | 0.004 | 0.115 | 1.122 | 0.877–1.434 | 0.360 |
Right uterine artery RI | −0.011 | 0.989 | 0.832–1.175 | 0.898 | – | – | – | – |
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SGA, small for gestational age; FGR, fetal growth retardation.
Sensitivity and specificity values of uterine artery in predicting preeclampsia, preterm birth, fetal distress, SGA and FGR.
Cut off value | AUC | Sensitivity, % | Specificity, % | PLR | NLR | PPV | NPV | |
---|---|---|---|---|---|---|---|---|
Preeclampsia | ||||||||
Left uterine artery S/D ratio | >4.25 | 0.849 | 85.29 | 81.77 | 4.68 | 0.18 | 45.3 | 96.9 |
Preterm birth | ||||||||
Left uterine artery RI | >0.53 | 0.693 | 90.62 | 43.30 | 1.60 | 0.22 | 20.9 | 96.6 |
Fetal distress | ||||||||
Left uterine artery RI | >0.61 | 0.709 | 76.19 | 66.34 | 2.26 | 0.36 | 18.8 | 96.5 |
SGA | ||||||||
Right uterine artery S/D ratio | >3.11 | 0.694 | 81.82 | 55.88 | 1.85 | 0.33 | 16.7 | 96.6 |
Left uterine artery S/D ratio | >4.3 | 0.695 | 63.64 | 75.98 | 2.65 | 0.48 | 22.2 | 95.1 |
FGR | ||||||||
Right uterine artery S/D ratio | >3.42 | 0.706 | 76.47 | 63.64 | 2.10 | 0.37 | 14.6 | 97.1 |
Left uterine artery RI | >0.64 | 0.659 | 64.71 | 72.25 | 2.33 | 0.49 | 15.9 | 96.2 |
Left uterine artery S/D ratio | >4.17 | 0.655 | 64.71 | 73.21 | 2.41 | 0.48 | 16.4 | 96.2 |
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PLR, positive likelihood ratio; NLR, negative likelihood ratio; PPV, positive predictive value (positive predictive values); NPV, negative predictive value (negative predictive values); S/D ratio, systol/diastole ratio; SGA, small for gestational age; FGR, fetal growth retardation.
There was no significant difference in UAD parameters and vitamin D levels between patients with and without oligohydramniosis (p>0.05). However, as a result of univariate logistic regression analysis, it was found that left UtA-PI (p=0.013) and left UtA-RI (p=0.009) values significantly predicted oligohydramniosis status. In multivariate regression analysis, it was found that neither parameter significantly predicted oligohydramniosis (p>0.05). The optimal cut-off value of the left UtA-PI value in predicting oligohydramniosis was found to be≤0.70, with a sensitivity of 75.00 and a specificity of 81.98. The optimal cut-off value of the left UtA-RI value was found to be≤0.47, sensitivity 75.00 and specificity 78.83. There was no significant difference in any parameter between patients with and without decreased baby movements, smoking, low molecular weight heparin (LMWH) use and aspirin use (p>0.05).
Discussion
In this study, the effect of UAD and vitamin D combination on adverse pregnancy outcomes, especially FGR and PE, in pregnant women between 20+0-24+0 weeks of gestation was investigated. According to our results, while UAD parameters have a predictive effect on PE, FGR, SGA, premature birth and cesarean delivery due to fetal distress, they do not have any prediction for decrease in baby movements, smoking, aspirin and LMWH use. In oligohydramnios, left UtA-PI (p=0.013) and left UtA-RI (p=0.009) values were significantly predictive only in the univariate logistic regression analysis, but this was not observed in the multivariate logistic regression analysis. However, it was concluded that vitamin D levels were not predictive of all parameters.
UAD studies continue to increase day by day in order to obtain early predictions for many adverse pregnancy outcomes, especially PE. In fact, the underlying pathology stems from the vital importance of the invasion of trophoblasts into the uterine decidua and decidual vessels in the formation of the placenta. Placentation defects PE, FGR and SGA are closely related to neonatal etiologies, and it is possible to make predictions about these important vascular events during pregnancy with UAD. In 2022, a very large review examining UAD and its impact on pregnancy complications, including 55,974 women and revealing a 38-year study, found that UAD was used to predict pregnancy complications such as recurrent pregnancy loss, PE, FGR, stillbirth, and SPB. It shows that the combination of UAD with other biochemical markers provides a predictive result of over 90 % for early-onset PE/FGR, where poor placental implantation is a factor. It also emphasized that a UtA-PI greater than 1.45 in low-risk women in the second trimester is a critical indicator in predicting PE [1]. In our study, in the second trimester, left UtA-PI was statistically significantly higher in pregnant women with PE (p=0.014), but especially the left UtA-S/D ratio was 2 times higher in pregnant women with PE compared to the control group (p<0.001). While the sensitivity of the same value was determined as 85.29 % and the specificity as 81.77 %, PPV; was 45.3 and NPV was 96.9. Although UAD offers a strong exclusion rate in cases where PE will not occur, it still seems to need additional markers to predict PE. In fact, when we look at the literature, we see that new studies are being conducted every day to strengthen this prediction and increase the possibility of predicting real PE cases. Some of these markers presented in combination with UAD are histidine-rich glycoprotein (the combination of HRG and UtA-PI revealed 91 % sensitivity and 62 % specificity for preterm PE) [7], protease A4 (HtrA4) (Serum HtrA4 levels and UtA-PI The combination of > 95th percentile provided sensitivity, specificity, PPV and NPV of 79.4 , 86.1, 37 and 97.6 %, respectively, for PE prediction) [8], serum high mobility group box-1 (HMGB1) (Using mean UtA-PI above the 95th percentile with abnormal serum HMGB1 levels, sensitivity, specificity, PPV, and NPV for predicting PE were 88.0 , 50.8, 10.8, and 98.4 %, respectively. This study showed that serum HMGB1 at 16+0–20+6 weeks of gestation was effective in predicting PE, but the addition of UtA-PI did not improve the prediction performance) [9] and even serum micro RNA-210 (for predicting PE when abnormal serum micro RNA-210 level, abnormal mean PI or uterine artery diastolic notches were used, sensitivity, specificity, PPV and NPV were found to be 95.5 , 54.9, 10.0 and 99.6 %, respectively. And in this study, sensitivity, specificity, PPV, and NPV for predicting early-onset PE were 100.0 , 53.2, 3.3, and 100.0 %, respectively) [2]. A study was added to these studies in 2021, showing that the combination of vitamin D level and UADs predicts the risk of PE. In this study, it was revealed that first trimester UtA-PI and calciferol levels showed 83.87 % sensitivity and 90.9 % specificity for the development of PE, and the overall accuracy of the test was 86.79 % [10]. Theoretically, the relationship between Vit D and PE development has been tried to be explained by the effect of Vitamin D on implantation, angiogenesis and endothelial status, regulation of immune response, Renin-Angiotensin and Aldosterone system (RAAS) and calcium metabolism [11], 12]. However, the contribution of Vitamin D on placentation has been suggested [13], but the exact role of vitamin D in this process has still not been elucidated. It is also stated that the beneficial effect of Vitamin D on pregnancy development can only be observed when supplementation is initiated during placental implantation [16]. And of course, the role of vitamin D on steroid hormone synthesis has also been held responsible for this effect [17], 18].
In our study, vitamin D levels measured in the second trimester were found to be an average of 16.20 ng/mL in patients who did not develop PE, and an average of 13.32 ng/mL in patients who developed PE. Similarly, the average was 15.86 ng/mL in pregnant women who did not develop oligohydramnios, while the average was 10.72 ng/mL in those who did not. However, in both cases, this difference was not statistically significant. However, vitamin D level gave similar results between both groups in all other pregnancy outcomes, including SPB, SGA newborn, and FGR. FGR, which often occurs as a result of PE, actually consists of two phenotypic conditions that manifest themselves with different developmental stages and consequences. While early-onset FGR (usually detected earlier than the 32nd week of gestation) presents a typical deterioration pattern progressing from increased abnormalities in Doppler parameters to abnormal biophysical parameters [3], in late-onset FGR, mildly abnormal cerebral Doppler along with normal or It has minimally elevated umbilical artery Doppler indices but does not exhibit any significant cardiovascular or biophysical changes [4]. Studies show that, unlike early-onset FGR, the relationship between PE and late-onset FGR is weaker [4]. In early-onset FGR, the main Doppler changes are at the level of the umbilical artery, with a progressive increase in PI until the absence of end diastolic flow (EDF) or reverse flow. Changes in cerebral, cardiac, and ductus venosus circulation are often present, but with different sequences. Late-onset FGR is determined by third-trimester placental insufficiency leading to fetal hypoxia. Cerebro-placental ratio (CPR) and middle cerebral artery pulsatility index (MCA-PI) appear to be the main markers for both diagnosis and obstetric treatment, while umbilical artery Doppler PI is often normal. In our study, a significant increase in the right UtA-RI, left UtA-RI and left UtA-S/D ratio was observed in cases with FGR. However, the FGR rate of the patients in our study was 7.5 % (17/220) and only 3 of them (1.36 %) had early-onset FGR. In our study, univariate logistic regression analysis found that right UtA-S/D ratio (p=0.001), left UtA-RI value (p=0.042) and left UtA-S/D ratio (p=0.004) significantly predicted FGR status. In multivariate logistic regression analysis, it was determined that all three parameters did not significantly predict FGR status (p>0.05). We think that the fact that all UAD parameters were not affected is due to the late onset of the majority of the FGR population.
Another condition in PE is excessive thromboxane production, which is already known. For this reason, aspirin, which inhibits thromboxane production, is used prophylactically in PE [19]. Studies on this subject have revealed that a statistically significant decrease in the occurrence of PE is observed with the use of aspirin, however, it is also stated that the reduction in risk is small to moderate and many women will need to be treated to prevent a PE case [19]. In fact, this is because the high-risk subgroups that may benefit most clinically from aspirin have not been identified [19]. In our study, the rate of patients using aspirin was 3.1 % (n=7), and all of them had experienced PE in their previous pregnancies. However, none of these patients developed PE in the index pregnancies. Additionally, no difference was observed in terms of UAD parameters between patients using and not using aspirin.
Another issue is that UAD evaluated prenatally carries some clues for SGA, which can often be only constitutional and has a limited relationship with other negative pregnancy outcomes. This situation mostly involves a search for foresight regarding the risks that the suspected SGA newborn will face in the postpartum period. Considering the clinical high-risk factors, UAD has a better predictive effect on PE and SGA newborns at 22–24 weeks of gestation in high-risk women [5]. However, unlike the high-risk group, low-risk pregnancies intended to result in term birth already show increased diastolic blood flow velocity and early diastolic notch loss by the 22nd week of pregnancy. However, pregnancies with early diastolic notches and persistent high resistance waveforms are at risk of premature birth due to PE, placental abruption and FGR [6]. In a meta-analysis published in 2019 that included 17 observational studies, the best predictor of third trimester UAD for suspected SGA fetuses was for perinatal mortality and it was emphasized that the worst prediction was for the composite adverse perinatal outcome consisting of admission to the neonatal intensive care unit, cesarean delivery due to intrapartum fetal risk, 5th minute APGAR score below 7, and neonatal acidosis [20]. In our study, the best predictive parameter for the development of fetal distress was left UtA-RI with 76.19 % sensitivity and 66.34 % specificity. In pregnancies that developed SGA, both right and left UtA-S/D ratios were significantly higher than in pregnancies that did not develop SGA. However, no association was found with decreased baby movements. In addition to all this, no correlation was detected between vitamin D level and these parameters.
Studies have also focused on the relationship between UAD and spontaneous preterm birth (SPB) and investigated whether UAD is predictive of this extremely important adverse pregnancy outcome, which is a precursor of neonatal morbidity and mortality. In a cohort study from England conducted between 1999 and 2002, 234 SPB and 5472 term births were compared and no significant correlation was found between UAD and week of birth [21]. In their study published in 2022, Camen et al. found no statistical relationship between UAD and preterm birth before the 32nd week of gestation, but UtA-S/D ratio and UtA-PI were correlated with preterm birth in pregnant women between 32 and 35.5 weeks (p<0.005) and emphasized that women with second trimester abnormal UAD should be examined more closely [22]. In fact, the underlying reason for the predictive value of the uterine artery on SPB is the ‘major obstetric syndrome’ associated with the failure of the physiological transformation of the spiral arteries [23]. Previous studies have suggested that women with signs of placental dysfunction have higher UtA blood flow impedance, resulting in failure of physiological transformation of the spiral arteries [23], 24]. In fact, studies have reached contradictory results regarding the relationship between SPB and UtA resistance [25], 26]. While one study stated that UAD evaluated in the first trimester is not a predictor of preterm birth, but when combined with smoking and previous preterm birth history, it can predict births below 34 weeks with a false positive rate of 8 % [25], in another one, it was highlighted that UtA-PI measured between 22 and 24 weeks was higher in SPBs before the 33rd week than in women giving birth at 33 weeks or later, however, UtA-PI did not provide a significant improvement in the SPB prediction provided by the mother’s demographic characteristics and previous obstetric history [26]. In addition, a study stated that fetal gender has an effect on Doppler parameters, suggesting that second trimester UtA resistance and the frequency of notching in UtA are higher in women carrying male fetuses [27]. In the light of all these studies, we think that the importance of the gestational age at which UAD is evaluated should be considered. In a study in which UAD was evaluated in three different periods of pregnancy: 18+0-22+6 weeks, 28+0-31+6 weeks and 32+0-35+6 weeks, a relationship was detected between UtA-S/D ratio and UtA-PI and preterm birth only in the measurement between 32+0-35+5 weeks, and this relationship was a low-grade relationship with late preterm birth [22]. In our study, only the left UtA-RI value gave significant results in univariate logistic regression analysis between 20+0-24+0 weeks of gestation. Left UtA-RI, sensitivity was 90.62 % and specificity was 43.30 %. PPV was 20.9 and NPV was 96.6. Only 1 of these cases was iatrogenic preterm birth and the other 31 patients were SPB cases. This clearly demonstrates the success of ruling out SPB with a normal UtA-RI value. However, in case of positive values, it is important to evaluate and follow the patient together with other risk factors. Vitamin D studies on preterm birth did not yield the expected results, and despite a small number of studies suggesting that vit D levels and preterm birth are correlated [28], no significant relationship could be established between SPB and vitamin D levels [14]. However, there are also studies suggesting that vitamin D deficiency is associated with births below the 37th week, even after confounding factors such as ethnic factors, race, and geographical conditions are eliminated and this result is mostly attributed to the relationship between vitamin D deficiency and bacterial vaginal infections and SPBs that develop secondary to these infections [29], 30]. A study from Poland could not find a full correlation between vitamin D deficiency and preterm birth and stated that only severe vitamin D deficiency could be a risk factor for preterm birth [31]. In our study, no relationship could be established between vitamin D levels and SPB, as with all other negative pregnancy outcomes. The average vitamin D level of the patients included in our study was 15.77 ± 9.39 ng/mL, and severe vitamin D deficiency (<10 ng/mL) was not observed, but according to our results, no difference was observed between vitamin D levels in the patient group who developed SPB and those who did not. Of course, there are many factors that cause SPB, especially infectious, inflammatory and connective tissue diseases. However, when the literature is examined, it is seen that in order to associate SPB with vitamin D deficiency, there is a need to conduct randomized controlled studies in groups with more specific and larger sample sizes, in which all other causes and risk factors are excluded.
Limitations
The limitation of the study is that it does not go into etiological detail for each adverse pregnancy outcome and it works with a heterogeneous group.
Strengths
The strengths of the study are that it is the second study conducted in this combination and the study with the largest sample size.
Conclusions
In the light of all these data, we conclude that the combination of UAD and vitamin D is not predictive of adverse pregnancy outcomes. Vitamin D, either alone or on its own, does not have any predictive effect on the effects of UAD. As known so far, UAD continues to be a sensitive antenatal test in the prediction of both PE, early-onset FGR, and SPB and SGA newborns. However, in our study, it was concluded that the S/D ratio, instead of PI, which is more emphasized in the literature, and the left UtA parameters are more predictive than the right UtA. In this context, there is a need for randomized controlled, double-blind studies with specific and homogeneous groups and larger sample sizes, free from all other confounding factors, both for the isolated effect of vitamin D and its combined effect with UAD.
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Research ethics: The study received approval from the Istanbul Medipol University Ethics Committee (date: 25.05.2021, number: E−10840098-772.02-2385), and the study was carried out in accordance with the Declaration of Helsinki.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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© 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
- Frontmatter
- Editorial
- The Journal of Perinatal Medicine is switching its publication model to open access
- Original Articles – Obstetrics
- The early COVID-19 pandemic period and associated gestational weight gain
- Evaluation of fetal growth and birth weight in pregnancies with placenta previa with and without placenta accreta spectrum
- Nutritional guidance through digital media for glycemic control of women with gestational diabetes mellitus: a randomized clinical trial
- Adverse perinatal outcomes related to pregestational obesity or excessive weight gain in pregnancy
- Maternal and fetal outcomes among pregnant women with endometriosis
- The role of the lower uterine segment thickness in predicting preterm birth in twin pregnancies presenting with threatened preterm labor
- Effect of combination of uterine artery doppler and vitamin D level on perinatal outcomes in second trimester pregnant women
- Contemporary prenatal diagnosis of congenital heart disease in a regional perinatal center lacking onsite pediatric cardiac surgery: obstetrical and neonatal outcomes
- How time influences episiotomy utilization and obstetric anal sphincter injuries (OASIS)
- The first 2-year prospective audit of prenatal cell-free deoxyribonucleic screening using single nucleotide polymorphisms approach in a single academic laboratory
- Original Articles – Fetus
- Evaluating fetal pulmonary vascular development in congenital heart disease: a comparative study using the McGoon index and multiple parameters of fetal echocardiography
- Antenatal corticosteroids for late small-for-gestational-age fetuses
- A systematic catalog of studies on fetal heart rate pattern and neonatal outcome variables
- Original Articles – Neonates
- Comparison of cord blood alarin levels of full-term infants according to birth weight
- Reviewer Acknowledgment
- Reviewer Acknowledgment
Articles in the same Issue
- Frontmatter
- Editorial
- The Journal of Perinatal Medicine is switching its publication model to open access
- Original Articles – Obstetrics
- The early COVID-19 pandemic period and associated gestational weight gain
- Evaluation of fetal growth and birth weight in pregnancies with placenta previa with and without placenta accreta spectrum
- Nutritional guidance through digital media for glycemic control of women with gestational diabetes mellitus: a randomized clinical trial
- Adverse perinatal outcomes related to pregestational obesity or excessive weight gain in pregnancy
- Maternal and fetal outcomes among pregnant women with endometriosis
- The role of the lower uterine segment thickness in predicting preterm birth in twin pregnancies presenting with threatened preterm labor
- Effect of combination of uterine artery doppler and vitamin D level on perinatal outcomes in second trimester pregnant women
- Contemporary prenatal diagnosis of congenital heart disease in a regional perinatal center lacking onsite pediatric cardiac surgery: obstetrical and neonatal outcomes
- How time influences episiotomy utilization and obstetric anal sphincter injuries (OASIS)
- The first 2-year prospective audit of prenatal cell-free deoxyribonucleic screening using single nucleotide polymorphisms approach in a single academic laboratory
- Original Articles – Fetus
- Evaluating fetal pulmonary vascular development in congenital heart disease: a comparative study using the McGoon index and multiple parameters of fetal echocardiography
- Antenatal corticosteroids for late small-for-gestational-age fetuses
- A systematic catalog of studies on fetal heart rate pattern and neonatal outcome variables
- Original Articles – Neonates
- Comparison of cord blood alarin levels of full-term infants according to birth weight
- Reviewer Acknowledgment
- Reviewer Acknowledgment