Perinatal Outcomes and Risk Factors for Preterm Birth in Twin Pregnancies in a Chinese Population: A Multi-center Retrospective Study

Li, Sijian; Gao, Jinsong; Liu, Juntao; Hu, Jing; Chen, Xiaoxu; He, Jing; Tang, Yabing; Liu, Xinghui; Cao, Yinli

doi:10.3389/fmed.2021.657862

Cited by 8 publications

(16 citation statements)

References 60 publications

(90 reference statements)

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“…Additionally, multiple pregnancies were identified as a risk factor for CD, which was consistent with other studies [42]. Twin pregnancies are associated with increased perinatal mortality due to a variety of factors, including prematurity-related complications and birth complications that may contribute to perinatal loss or morbidity [43]. These risk factors justify the option of planned CD to avoid such complications [44].…”

Section: Discussionsupporting

confidence: 82%

Determinants of cesarean mode of childbirth among Rwandan women of childbearing age: Evidence from the 2019–2020 Rwanda Demographic and Health Survey (RDHS)

Etienne,

Aline,

Ornella

et al. 2024

Public Health Challenges

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BackgroundRwanda has made progress in reducing maternal mortality, with rates decreasing by three‐quarters between 1990 and 2015, in part due to increased access to cesarean delivery (CD). However, the prevalence of CD is also increasing for reasons other than clinical indications. Rwanda's 15% CD delivery rate is higher than World Health Organization guidelines, sparking debate about optimal CD use and potential negative outcomes in child and maternal health. This study aimed to identify the key clinical and nonclinical factors relating to CD in Rwanda.MethodsA secondary data analysis of the Rwanda Demographic and Health Survey (2019–2020) was performed, using the outcome variable of vaginal birth versus CD in women who had delivered in the survey period and for 5 years preceding. We used logistic regression modeling to identify the explanatory sociodemographic, economic, and obstetric characteristics associated with CD.ResultsMore than half of participants were between 20‐ and 34‐year old, 65.2% had completed primary school at least, 79.0% lived in rural areas, and 81.2% had health insurance. Fifteen percent of participants had given birth by CD in the preceding 5 years. CD was independently associated with higher levels of education, religion, higher socioeconomic status, perceived financial constraints, and giving birth in a private health facility. Obstetric predictors for CD included twin pregnancy, male infancy, and primiparity.ConclusionResults suggest that indications for CD should be monitored and the birthing preferences of women further evaluated, with guidelines implemented to inform decision‐making around CD.

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Section: Discussionsupporting

confidence: 82%

Determinants of cesarean mode of childbirth among Rwandan women of childbearing age: Evidence from the 2019–2020 Rwanda Demographic and Health Survey (RDHS)

Etienne,

Aline,

Ornella

et al. 2024

Public Health Challenges

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“…A p-value of < 0.05 was deemed statistically signi cant. The required sample size was determined to be 381 twin pregnancies, based on a preterm birth prevalence in twin pregnancies of 55 per 100 deliveries (13,15,17).…”

Section: Methodsmentioning

confidence: 99%

“…Preterm birth refers to any birth occurring before 37 weeks of gestation. A notable risk factor for preterm birth is chorionicity (15), with twins born from monochorionic pregnancies exhibiting higher rates of neonatal morbidity and mortality (16). Thus, multiple pregnancies present an elevated risk for maternal and perinatal complications, particularly prematurity.…”

Section: Introductionmentioning

confidence: 99%

Epidemiology and factors associated with preterm births in multiple pregnancy: A retrospective cohort study

Seetho,

Kongwattanakul,

Saksiriwuttho

et al. 2023

Preprint

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Objective Multiple pregnancies carry an increased risk of maternal and perinatal complications, notably prematurity. There is a limited number of studies evaluating the risk factors for preterm births in multiple pregnancies within the Thai population. This study aims to ascertain maternal and perinatal outcomes and identify factors linked to preterm births in multiple pregnancies. Methods This study was carried out at the Khon Kaen University Faculty of Medicine Department of Obstetrics and Gynecology in Thailand. We included women with multiple pregnancies who delivered at a gestational age of more than 20 weeks between January 1, 2012, and December 31, 2021. Medical records were meticulously reviewed. We excluded patients with incomplete data or those for whom data were missing. Results Out of 21,400 pregnancies, 427 were multiple pregnancies, constituting approximately 1.99%. Over the ten-year period, 269 multiple pregnancies (65.1%) resulted in preterm births. Of these, 173 (64.3%) were monochorionic twins, and 96 (35.7%) were dichorionic twins. Monochorionic twins had a notably higher rate of preterm delivery (AOR, 2.06; 95%CI 1.29–3.30). Vaginal delivery was observed in 7.9% of the cases, while cesarean sections were performed for both twins in 91.5% of cases. In 0.5% of the cases, only the second twin was delivered by cesarean section. With regard to neonatal outcomes, 160 infants (19.4%) weighed less than 1500 grams at birth, and there were 78 perinatal deaths (9.4%). Birth asphyxia was noted in 97 cases (20.2%) among monochorionic twins and in 28 cases (8.1%) for dichorionic twins. Conclusion The prevalence of multiple pregnancies was 1.99%, with 65.1% resulting in preterm births. Neonatal complications were notably more frequent in monochorionic twins. The monochorionic placenta and antepartum complications emerged as significant risk factors for preterm birth.

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“…For many imputations, the parameter sample posterior is set to be true and different random states are applied for each imputed dataset. Monochorionicity and GWG <10 kg are two main risk factors for PTB (Preterm births) before 32, 34, and 37 weeks, while maternal age, PE, and ICP were also risk factors for PTB in specific gestational age [15]. It should be mentioned that the firstseven7 days of admission is the danger time to death with median time of six days.…”

Section: Introductionmentioning

confidence: 99%

Prediction Analysis of Preterm Neonates Mortality using Machine Learning Algorithms via Python Programming

Monfared

Hashemi

2023

Preprint

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Prediction analysis of preterm neonate mortality is necessary and significant for benchmarking and evaluating healthcare services in Hospitals and other medical centers. Application of artificial intelligence and machine learning models, which is a hot topic in medicine/healthcare and engineering, may improve physicians skill to predict the preterm neonatal deaths. The main purpose of this research article is to introduce a preterm neonatal mortality risk prediction by means of machine learning/ML predictive models to survive infants using supervised ML models if possible. Moreover, this paper presents some effective parameters and features which affect to survive the infants directly. It means, the obtained model has an accuracy of about 91.5% to predict the status of infant after delivery. After recognizing the critical status for an infant, physicians and other healthcare personnel can help to infant for possible surviving using special medical NICU cares. It has been tried to get some suitable models with high accuracy and comparing the results. In a word, a survival prediction analysis of preterm neonate mortality has been carried out using machine learning methods via Python programming (possible surviving infants after delivery in the hospital).

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Perinatal Outcomes and Risk Factors for Preterm Birth in Twin Pregnancies in a Chinese Population: A Multi-center Retrospective Study

Cited by 8 publications

References 60 publications

Determinants of cesarean mode of childbirth among Rwandan women of childbearing age: Evidence from the 2019–2020 Rwanda Demographic and Health Survey (RDHS)

Determinants of cesarean mode of childbirth among Rwandan women of childbearing age: Evidence from the 2019–2020 Rwanda Demographic and Health Survey (RDHS)

Epidemiology and factors associated with preterm births in multiple pregnancy: A retrospective cohort study

Prediction Analysis of Preterm Neonates Mortality using Machine Learning Algorithms via Python Programming

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