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Farhadi Hassankiadeh R, Dobson A, Rahimi S, Jalilian A, Schmid VJ, Mahaki B. Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis. Int J Health Policy Manag 2024; 13:7931. [PMID: 39099509 PMCID: PMC11270618 DOI: 10.34172/ijhpm.2024.7931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/07/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND This study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country. METHODS A Bayesian hierarchical meta-analysis (PROSPERO 2022: CRD42022331281) was performed to determine the pooled prevalence. A systematic search was conducted using Web of Science, ScienceDirect, PubMed, Iranian Research Institute for Information Science and Technology (IranDoc), Scientific Information Database (SID), and Magiran until October 4, 2023. Cross-sectional and cohort studies in both English and Persian languages, focusing on the age range of 0-10 years, were considered for the study population. The study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) Risk of Bias tool. Heterogeneity was assessed by I2 and τ2 statistics, and publication bias by Egger's and Begg's tests. RESULTS The meta-analysis included 62 studies, revealing an overall CHD prevalence of 2.5 per 1000 births. Over time, CHD birth prevalence in Iran has consistently increased. Spatial distribution analysis, including spatial autocorrelation and local spatial autocorrelation, indicated no spatial clustering (P=.46) or aggregation (P=.65) among Iran's provinces. Geographic disparities were significant (P=.000), with the northern and eastern regions showing the highest and lowest CHD prevalence, respectively. CONCLUSION The overall CHD prevalence in Iran is lower than global rates, but it continues to rise. Furthermore, there are variations in birth prevalence among different regions of Iran. Environmental, genetic, socioeconomic, and diagnostic accessibility differences are possibly involved in regional variation. The limitations like heterogeneity among studies, the potential inaccuracy of reports due to limited use of accurate diagnostic methods in some studies, and the absence of population-based models to investigate prevalence, underscore the urgent need for standardized diagnostic approaches, and the utilization of population-wide birth defect registries to accurately assess CHD prevalence in Iran.
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Affiliation(s)
| | - Annette Dobson
- School of Public Health, University of Queensland, Brisbane, QLD, Australia
| | - Somayeh Rahimi
- Department of Clinical Biochemistry, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | | | - Volker J. Schmid
- Department of Statistics, LudwigMaximilians-University, Munich, Germany
| | - Behzad Mahaki
- Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Calhoun BC, Uselman H, Olle EW. Development of Artificial Intelligence Image Classification Models for Determination of Umbilical Cord Vascular Anomalies. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:881-897. [PMID: 38279605 DOI: 10.1002/jum.16418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/05/2024] [Accepted: 01/07/2024] [Indexed: 01/28/2024]
Abstract
OBJECTIVE The goal of this work was to develop robust techniques for the processing and identification of SUA using artificial intelligence (AI) image classification models. METHODS Ultrasound images obtained retrospectively were analyzed for blinding, text removal, AI training, and image prediction. After developing and testing text removal methods, a small n-size study (40 images) using fastai/PyTorch to classify umbilical cord images. This data set was expanded to 286 lateral-CFI images that were used to compare: different neural network performance, diagnostic value, and model predictions. RESULTS AI-Optical Character Recognition method was superior in its ability to remove text from images. The small n-size mixed single umbilical artery determination data set was tested with a pretrained ResNet34 neural network and obtained and error rate average of 0.083 (n = 3). The expanded data set was then tested with several AI models. The majority of the tested networks were able to obtain an average error rate of <0.15 with minimal modifications. The ResNet34-default performed the best with: an image-classification error rate of 0.0175, sensitivity of 1.00, specificity of 0.97, and ability to correctly infer classification. CONCLUSION This work provides a robust framework for ultrasound image AI classifications. AI could successfully classify umbilical cord types of ultrasound image study with excellent diagnostic value. Together this study provides a reproducible framework to develop AI-specific ultrasound classification of umbilical cord or other diagnoses to be used in conjunction with physicians for optimal patient care.
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Affiliation(s)
- Byron C Calhoun
- Department of Obstetrics and Gynecology, WVU School of Medicine, Charleston Division, Charleston, West Virginia, USA
- Maternal-Fetal Medicine, WVU School of Medicine, Charleston Division, Charleston, West Virginia, USA
| | - Heather Uselman
- Resident Department of Obstetrics and Gynecology, Charleston Area Medical Center, Charleston, West Virginia, USA
| | - Eric W Olle
- Research and Development, SynXBio Inc., Charleston, West Virginia, USA
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Yu J, Wu Q, Kong F, Ning Y. Diagnosis of single umbilical artery and risk of foetal congenital malformations by prenatal ultrasound: a retrospective study. BMC Pregnancy Childbirth 2024; 24:193. [PMID: 38475732 DOI: 10.1186/s12884-024-06375-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Single umbilical artery (SUA) is strongly associated with foetal structural abnormalities; however, the exact pattern of this association has not been described. We aimed to investigate the occurrence of malformations in singleton pregnancies with SUA in China and to study the association between the absent side of the umbilical artery and foetal malformations. METHODS This was a retrospective study of singleton pregnancies for which routine first-trimester anatomical screening was performed at 11+ 0-13+ 6 gestational weeks and, if the pregnancy continued, a second-trimester scan was performed at 20+ 0-24+ 0 weeks. Data were extracted from records at the referral centre, the Obstetrics and Gynecology Hospital of Fudan University, between January 2011 and April 2019 (n = 47,894). Using logistic regression, the odds ratios (OR) with 95% confidence intervals (CIs) were calculated for malformations associated with SUA. RESULTS The incidence of SUA in our study was 2.0% (970/47,894). Of all foetuses with SUA, 387 (39.9%) had structural malformations. The malformation type varied, with cardiovascular complications being the most common. A robust association was observed between SUA and oesophageal stenosis or atresia (OR: 25.33), followed by cardiovascular (OR: 9.98-24.02), scoliosis (OR: 18.62), genitourinary (OR: 2.45-15.66), and brain malformations (OR: 4.73-9.12). The absence of the left umbilical artery (n = 445, 45.9%) was consistent with that of the right umbilical artery (n = 431, 44.4%). Furthermore, a significantly higher rate of an absent right than the left umbilical artery (p<0.01) was observed in SUA with foetal abnormalities than in SUA with no malformations. CONCLUSIONS Overall, we observed a higher risk of various specific malformations in foetuses with SUA, and a strong association between SUA and oesophageal stenosis or atresia. The absence of the right umbilical artery was most common in foetuses with SUA and structural malformations. This study provides a reference for ultrasonographers in conducting foetal structural screening for pregnant women with SUA.
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Affiliation(s)
- Junjin Yu
- Department of Obstetrics and Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qingqin Wu
- Department of Pharmacy, Dongshan Hospital, Linyi, Shandong, China
| | - Fanbin Kong
- Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
| | - Yan Ning
- Department of Pathology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Road, Shanghai, 200082, China.
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Pan S, Xu A, Lu X, Chen B, Chen X, Hua Y. Umbilical artery thrombosis risk factors and perinatal outcomes. BMC Pregnancy Childbirth 2024; 24:137. [PMID: 38355469 PMCID: PMC10865511 DOI: 10.1186/s12884-024-06335-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 02/08/2024] [Indexed: 02/16/2024] Open
Abstract
PURPOSE The purpose of this study was to investigate the risk factors for umbilical artery thrombosis (UAT) and the relationship between umbilical artery thrombosis and perinatal outcomes. METHODS This was a retrospective study that enrolled singleton pregnant women who were diagnosed with umbilical artery thrombosis. The control group recruited pregnant woman with three umbilical vessels or those with isolated single umbilical artery (iSUA) who were matched with umbilical artery thrombosis group. The risk factors and perinatal outcomes were compared between the groups. RESULTS Preconception BMI (OR [95%CI]: 1.212 [1.038-1.416]), abnormal umbilical cord insertion (OR [95%CI]: 16.695 [1.333-209.177]) and thrombophilia (OR [95%CI]: 15.840 [1.112-223.699]) were statistically significant risk factors for umbilical artery thrombosis. An elongated prothrombin time (OR [95%CI]: 2.069[1.091-3.924]) was strongly associated with the occurrence of UAT. The risks of cesarean delivery, preterm birth, fetal growth restriction, neonatal asphyxia, and intraamniotic infection were higher in pregnancies with UAT than in pregnancies with three umbilical vessels or isolated single umbilical artery (P<0.05). Additionally, the incidence of thrombophilia was higher in pregnant women with umbilical artery thrombosis than those with isolated single umbilical artery (P = 0.032). Abnormal umbilical cord insertion was also found to be associated with an elevated risk of iSUA (OR [95%CI]: 15.043[1.750-129.334]). CONCLUSIONS Abnormal umbilical cord insertion was the risk factor for both umbilical artery thrombosis and isolated single umbilical artery. The pregnancies with umbilical artery thrombosis had a higher risk of the adverse perinatal outcomes.
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Affiliation(s)
- Shuangjia Pan
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Anjian Xu
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Xinyue Lu
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Baoyi Chen
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Xianjun Chen
- Department of Obstetrics and Gynecology, Taizhou Women and Childrens Hospital of Wenzhou Medical University, Taizhou, 325000, China.
| | - Ying Hua
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
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Hyun Lee N, Joung Choi H. Analysis of single umbilical artery with concurrent congenital anomaly: Is it a risk factor for poor prognosis? A cross-sectional study. Int J Reprod Biomed 2024; 22:139-148. [PMID: 38628781 PMCID: PMC11017210 DOI: 10.18502/ijrm.v22i2.15710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 04/27/2023] [Accepted: 12/25/2023] [Indexed: 04/19/2024] Open
Abstract
Background A single umbilical artery (SUA) may coexist with a single anomaly or multiple congenital anomalies. Although anomalies associated with SUA can primarily cause high perinatal mortality, their clinical significance has not been evaluated. Objective We investigated the relationship between the clinical features and the type or number of concurrent anomalies in neonates with SUA. Materials and Methods In this cross-sectional study, 104 neonates with SUA were enrolled from January 2000 to December 2020 at Dongsan hospital, Daegu, South Korea. Data on the maternal history and the neonates demographic characteristics, clinical course, chromosomal analysis, and congenital anomalies, were collected. Results Among the neonates with SUA included, 77 (74.0%) had one or more congenital anomalies; 66 (63.5%) were cardiac, 20 (19.2%) were genitourinary, 12 (11.5%) were gastrointestinal, 5 (4.8%) were central nervous system, 12 (11.5%) were skeletal, and 5 (4.8%) were facial anomalies. The number of concurrent anomalies ranged from 0-4. Neonates with SUA and concurrent gastrointestinal anomaly had a high incidence of initial positive ventilation, intubation, and inotropic drug use and lower Apgar score at 1 min and 5 min. 7 (6.7%) neonates with SUA died. Low birth weight (odds ratio = 6.16, p = 0.05), maternal multiparity (2.41, p = 0.13), gastrointestinal anomaly (5.06, p = 0.11), and initial cardiac resuscitation (7.77, p = 0.11) were risk factors for mortality in neonates with SUA. Conclusion Neonates with SUA and concurrent gastrointestinal anomaly, low birth weight, maternal multiparity, and initial cardiac resuscitation had poor outcomes.
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Affiliation(s)
- Na Hyun Lee
- Department of Pediatrics, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Hee Joung Choi
- Department of Pediatrics, Keimyung University School of Medicine, Daegu, Republic of Korea
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Mohapatra I, Samantaray SR. Persistent Right Umbilical Vein in Association With Single Umbilical Artery: A Case Report and Review of Literature. Cureus 2023; 15:e36544. [PMID: 37095790 PMCID: PMC10121413 DOI: 10.7759/cureus.36544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2023] [Indexed: 04/26/2023] Open
Abstract
Persistent right umbilical vein (PRUV) and single umbilical artery (SUA) are developmental malformations of the vascular system. In isolation, these are not rare, but the presence of these two malformations together is not very common. When they are present together, there are increased chances of associated congenital anomalies, especially anomalies of the vascular system. So, when these two coexist, a detailed examination of all other organ systems, especially the cardiovascular system, should be conducted. The accurate evaluation of such vascular malformations during fetal life is needed to provide adequate antenatal counseling, the timing of delivery, and appropriate post-natal care. We report a case of a primigravida who was diagnosed with PRUV and SUA in the fifth month of gestation. In this article, we discuss this case's management with a literature review. The anomaly scan done at around 21 weeks revealed a two-vesseled umbilical cord with an SUA and PRUV. Apart from this, there were no other structural anomalies. The patient had preterm delivery at 35 weeks 5 days gestation period and delivered a 2.6 kg male baby.
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Affiliation(s)
- Ipsita Mohapatra
- Obstetrics and Gynecology, All India Institute of Medical Sciences Kalyani, Kalyani, IND
| | - Subha R Samantaray
- Obstetrics and Gynecology, All India Institute of Medical Sciences Kalyani, Kalyani, IND
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