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1.
J Obstet Gynaecol Res ; 49(11): 2692-2699, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37635633

ABSTRACT

STUDY OBJECTIVE: Umbilical cord abnormalities increase neonatal morbidity and mortality. Considering uncertainties about the best time of an antenatal ultrasonography scan to evaluate the umbilical coiling index (UCI), this systematic review was designed to assess the diagnostic accuracy value of antenatal ultrasound assessments to predict abnormal postpartum UCI. METHODS: All observational, cross-sectional, case-control, cohort, and diagnostic accuracy studies up to March 26, 2022, were searched and assessed according to PRISMA guidelines in Ovid, Cochrane, Scopus, PubMed, Web of Science, Embase, Proquest, Science Direct, and Clinical Key databases, and Google Scholar search engine. RESULTS: The total number of 63 190 documents were retrieved from databases. The duplicates (19 272) were removed, 43 918 articles were screened for relevance, and 56 papers were selected for full-text evaluation, resulting in 14 qualified pieces subjected to the quality CASP tools for each type of study. Finally, six articles were evaluated, extracted, and confirmed. Overall, we had 16 evaluations (11 normal pregnancies, 4 gestational diabetes mellitus, and 1 group at risk for small gestational age), from which 9 and 7 were respectively performed in the second and third trimesters. Most of the evaluations considered both hypocoiling and hypercoiling. The sensitivity, specificity, and area under curves (AUCs) change range between the evaluations were 0.09-0.97, 0.59-0.96, and 0.262-0.84, respectively. CONCLUSION: Observing any coiling abnormalities in every trimester, both the second and third, is highly sensitive to predicting abnormal postnatal UCI (pUCI). Conclusively, any detected antenatal abnormality is worth attention. Both trimesters' evaluations are essential, and no superiority is seen for any of them. The systematic review revealed statistical and clinical heterogeneity; a meta-analysis was impossible.


Subject(s)
Diabetes, Gestational , Pregnancy Outcome , Female , Humans , Infant, Newborn , Pregnancy , Cross-Sectional Studies , Pregnant Women , Umbilical Cord/diagnostic imaging
2.
J Matern Fetal Neonatal Med ; 33(7): 1107-1113, 2020 Apr.
Article in English | MEDLINE | ID: mdl-30231660

ABSTRACT

Objective: To investigate whether evaluations of antenatal umbilical coiling index (aUCI) could predict postnatal umbilical coiling index (UCI) (pUCI) in people with gestational diabetes mellitus (GDM) compared with normal pregnancy independent of maternal demographic and reproductive characteristics.Method: In this prospective study, 105 women with normal pregnancy, and 117 women with pregnancy complicated by GDM were recruited. Ultrasound scan of umbilical cord was performed at 18-23 and 37-41 weeks of gestation (WG). Evaluation of pUCI, as the reference standard, was performed within 24 hours after delivery.Findings: There was no significant relationship between aUCI and maternal demographic and reproductive characteristics. The mean for pUCI was 0.21 ± 0.12 in the GDM group, and 0.21 ± 0.09 in the normal pregnancy (p = .61). In the GDM group, a significant association was found between aUCI and pUCI categories (p = .004). The area under curve (AUC) was less than 0.5 for hypocoiling in both groups. For hypercoiling it was 0.84 ± 0.04 in the GDM group and 0.75 ± 0.06 in the normal pregnancy group (18-23 WG). In the GDM group the cutoff points that predict hypercoiling were 0.28 (18-23WG), and 0.21 (37-41WG). These were 0.35 (18-23WG), and 0.33 (37-41WG) in the normal pregnancy group. Diagnostic accuracy analysis revealed that in the GDM group, the sensitivity and specificity of hypercoiling for prediction of pUCI were 0.94 and 0.70 respectively at 18-23 WG.Conclusions: Antenatal hypercoiling at the second trimester of pregnancy strongly predict postnatal hypercoiling in pregnancies complicated by GDM.


Subject(s)
Diabetes, Gestational/diagnostic imaging , Umbilical Cord/diagnostic imaging , Adult , Case-Control Studies , Female , Humans , Longitudinal Studies , Pregnancy , Ultrasonography, Prenatal , Young Adult
3.
J Diabetes Metab Disord ; 18(1): 51-57, 2019 Jun.
Article in English | MEDLINE | ID: mdl-31275874

ABSTRACT

OBJECTIVES: The objective of this study was to investigate the relationship between the postnatal umbilical coiling index (pUCI), and intrapartum and neonatal outcomes in parturients with gestational diabetes mellitus (GDM) and non-GDM. METHODS: An evaluation of the umbilical cords and pUCI of 117 neonates of GDM and 105 of non-GDM parturients were prospectively studied within 24 h after delivery. Furthermore, obstetric history, intrapartum and neonatal data were recorded. RESULTS: Premature rupture of membrane (PROM) (p = 0.001), emergency cesarean delivery (p = 0.01), spontaneous preterm delivery (p = 0.006), duration of hospital admission (p < 0.001), and congenital malformations (p = 0.03) were significantly higher in the GDM group. Moreover, pUCI had a significant association with large for gestational age (LGA) (p = 0.009), and meconium-stained amniotic fluid (p = 0.04) in the GDM group. In addition, increment of pUCI had significant association with spontaneous preterm delivery in both groups (p = 0.002) (OR = 1.23). CONCLUSIONS: GDM is associated with spontaneous preterm delivery, PROM, emergency cesarean delivery, duration of hospital admission, and congenital malformations. Increase in pUCI could increase the rate of spontaneous preterm delivery in normal pregnancy and pregnancy complicated by GDM, as well as, the rate of LGA and meconium-stained amniotic fluid in GDM.

4.
Taiwan J Obstet Gynecol ; 57(4): 487-492, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30122566

ABSTRACT

OBJECTIVE: Umbilical cord abnormalities increase fetal morbidity and mortality. This study was designed to compare antenatal umbilical coiling index (aUCI) in gestational diabetes mellitus (GDM) and non-gestational diabetes mellitus (non-GDM) pregnancy, considering uncertainties about the best time to perform antenatal ultrasonography scan. MATERIALS AND METHODS: In this prospective study, 246 parturients were included, 123 with GDM and 123 with non-GDM pregnancy. Gestational diabetes was confirmed at 24-28 weeks of gestation (WG) using one-step strategy. An anatomical ultrasound survey of placenta and umbilical cord was performed at 18-23 as well as 37-41 weeks of gestational age. RESULTS: At 18-23 WG, the frequency distribution (10th, 90th percentiles, mean ± SD) of the aUCI in the GDM and non-GDM groups were (0.13,0.66,0.32 ± 0.19) and (0.18,0.74, 0.4 ± 0.31) respectively. These values were (0.12,0.4, 0.25 ± 0.11) in the GDM group at 37-41 WG and (0.17,0.43, 0.29 ± 0.11) in the non-GDM group. A significant relationship was detected between UCI value and GDM/non-GDM groups at both antenatal evaluations (18-23 WG; P = 0.002, 37-41WG; P < 0.001). A significant association at 18-23 WG was found between GDM/non-GDM groups and aUCI categorization (hypocoiling <10th, normocoiling 10th-90th and hypercoiling >90th) (P = 0.001). However, hypocoiling were significantly more frequent in GDM than non-GDM in both antenatal evaluations (P < 0.001, P = 0.006). CONCLUSION: Antenatal UCI in pregnancy complicated by GDM were lower in comparison with non-GDM pregnancy. The most abnormal pattern of coiling in gestational diabetes was hypocoiling in both trimesters. In addition, 18-23 WG is the best time to perform ultrasound scan to detect aUCI and umbilical cord pattern.


Subject(s)
Diabetes, Gestational/diagnostic imaging , Ultrasonography, Prenatal , Umbilical Cord/abnormalities , Adult , Female , Gestational Age , Humans , Iran/epidemiology , Longitudinal Studies , Placenta/diagnostic imaging , Pregnancy , Pregnancy Outcome/epidemiology , Prospective Studies , Risk Factors , Umbilical Cord/diagnostic imaging
5.
Arch Iran Med ; 21(3): 95-100, 2018 03 01.
Article in English | MEDLINE | ID: mdl-29688734

ABSTRACT

BACKGROUND: This study aimed to investigate the association between epicardial adipose tissue (EAT) and coronary artery disease (CAD) as well as cardiovascular risk factors. METHODS: Complete medical records of subjects were reviewed and cardiovascular risk factors were recorded. Epicardial fat volume (EFV) and epicardial fat thickness (EFT) were measured using digital volumetry of acquired images using a 256-slice CT-scanner. Calcium score was measured using Agatston method in non-contrast images. After contrast administration, bolus-tract images were obtained. Coronary arteries were assessed using reconstructed images in arterial phase of contrast-enhanced images. EFV and EFT measurements were compared to computed tomography angiography (CTA) findings of coronary arteries. RESULTS: A total of 269 patients (Mean age: 55.5 ± 12.1, 44% female) were included. Higher means of EFT and EFV were associated with coronary artery stenosis. However, the correlation coefficients of the arterial stenosis with EFT and EFV were weak. EFV and EFT had a significant association with age (P < 0.001, P < 0.001 respectively), body mass index (BMI) (P < 0.001, P < 0.001 respectively) and hypertension (P < 0.016, P < 0.003 respectively). Diabetes mellitus (DM) and hyperlipidemia were not significantly associated with EFV (P = 0.069 and 0.639 respectively) and EFT (P = 0.103 and 0.366 respectively). EFV and EFT showed a weak correlation coefficient with calcium scoring (Spearman correlation coefficients: 0.26 and 0.22 respectively, both P < 0.001). In multivariate logistic regression models considering coronary stenosis as dependent variable and EFV, EFT and other CAD risk factors as independent variables, EFV and EFT did not show significant P values and were omitted from the model by other CAD risk factors. CONCLUSION: Increased EFV and EFT are associated with CAD, age, BMI and hypertension. However, no remarkable association was found between them and calcium score, hyperlipidemia or DM. These variables could weakly predict CAD in univariate models but they are not independent predictive factors for CAD in multivariate models consisting of other CAD risk factors. Hence, EFT and EFV are not independent predictors for CADs when they are considered simultaneously with other CAD risk factors.


Subject(s)
Adipose Tissue/diagnostic imaging , Coronary Artery Disease/diagnosis , Coronary Stenosis/diagnosis , Coronary Vessels/diagnostic imaging , Pericardium/diagnostic imaging , Adult , Aged , Aged, 80 and over , Body Mass Index , Computed Tomography Angiography , Coronary Artery Disease/epidemiology , Coronary Stenosis/epidemiology , Female , Humans , Iran/epidemiology , Logistic Models , Male , Middle Aged , Multidetector Computed Tomography , Multivariate Analysis , Risk Factors , Severity of Illness Index
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