Smartphone-based prenatal education for parents with preterm birth risk factors

Summary Preterm birth (PTB) is a worldwide problem with great social significance because it is a leading cause of perinatal complications and perinatal mortality. PTB is responsible for more than a half of neonatal deaths. The rate of preterm delivery varies between 5-18% worldwide and has not decreased in recent years, regardless of the development of medical science. One of the leading causes for that is the failure to identify the high-risk group in prenatal care. PTB is a heterogeneous syndrome in which many different factors interfere at different levels of the pathogenesis of the initiation of delivery, finally resulting in delivery before 37 weeks of gestation (wg). The various specificities of risk factors and the unclear mechanism of initiation of labour make it difficult to elaborate standard, unified and effective screening to diagnose pregnant women at high-risk for PTB correctly. Furthermore, they make primary and secondary prophylaxis less effective and render diagnostic and therapeutic measures ineffective and inappropriate. Reliable and accessible screening methods are necessary for antenatal care, and risk factors for PTB should be studied and clarified in search of useful tools to solve issues of risk pregnancies to decrease PTB rates and associated complications.

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Prevalence and risk factors associated with preterm birth in India: Systematic review and meta-analysis

Authorea ◽

10.22541/au.158758076.65534162 ◽

2020 ◽

Author(s):

Thangjam Devi ◽

Huidrom Singh

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Preterm Birth ◽

Meta Analysis ◽

Factors Associated

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Preterm Delivery; Who Is at Risk?

Journal of Clinical Medicine ◽

10.3390/jcm10112279 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2279

Author(s):

Dvora Kluwgant ◽

Tamar Wainstock ◽

Eyal Sheiner ◽

Gali Pariente

Keyword(s):

Risk Factors ◽

Preterm Birth ◽

Prenatal Care ◽

Recurrent Pregnancy Loss ◽

Placental Abruption ◽

Placenta Previa ◽

Population Based ◽

Perinatal Morbidity ◽

Multiple Gestations ◽

Extremely Preterm

Preterm birth (PTB) is the leading cause of perinatal morbidity and mortality. Adverse effects of preterm birth have a direct correlation with the degree of prematurity, in which infants who are born extremely preterm (24–28 weeks gestation) have the worst outcomes. We sought to determine prominent risk factors for extreme PTB and whether these factors varied between various sub-populations with known risk factors such as previous PTB and multiple gestations. A population-based retrospective cohort study was conducted. Risk factors were examined in cases of extreme PTB in the general population, as well as various sub-groups: singleton and multiple gestations, women with a previous PTB, and women with indicated or induced PTB. A total of 334,415 deliveries were included, of which 1155 (0.35%) were in the extreme PTB group. Placenta previa (OR = 5.8, 95%CI 4.14–8.34, p < 0.001), multiple gestations (OR = 7.7, 95% CI 6.58–9.04, p < 0.001), and placental abruption (OR = 20.6, 95%CI 17.00–24.96, p < 0.001) were the strongest risk factors for extreme PTB. In sub-populations (multiple gestations, women with previous PTB and indicated PTBs), risk factors included placental abruption and previa, lack of prenatal care, and recurrent pregnancy loss. Singleton extreme PTB risk factors included nulliparity, lack of prenatal care, and placental abruption. Placental abruption was the strongest risk factor for extreme preterm birth in all groups, and risk factors did not differ significantly between sub-populations.

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Magnitude of spontaneous preterm birth and its associated factors among preterm birth in NICU wards in Asella Teaching and Referral Hospital, Asella, Oromia, Ethiopia

Journal of International Medical Research ◽

10.1177/03000605211034693 ◽

2021 ◽

Vol 49 (8) ◽

pp. 030006052110346

Author(s):

Techane Sisay Tuji ◽

Addisu Dabi Wake ◽

Gezahegn Badeg Adere ◽

Aselefu Beka Wedajo ◽

Batu Dekeba Obole ◽

...

Keyword(s):

Risk Factors ◽

Preterm Birth ◽

Healthcare Providers ◽

Preterm Births ◽

Cross Sectional Study ◽

Spontaneous Preterm Birth ◽

Related Factors ◽

Cross Sectional ◽

Bivariate Logistic Regression ◽

Associated Risk Factors

Objective To assess the prevalence of spontaneous preterm births and to identify the associated risk factors. Methods This single-centre cross-sectional study enrolled women that experienced a preterm birth as registered on the neonatal log-book between 30 December 2019 and 30 December 2020. A pre-tested structured checklist was used to collect data (sociodemographic characteristics; obstetric-related factors; medical history; and pregnancy-related factors). Bivariate logistic regression analyses were applied to identify factors associated with spontaneous preterm birth. A multivariate model identified significant independent risk factors. Results A total of 310 patients participated in the study. The prevalence of spontaneous preterm birth in this population was 67.1% (208 of 310; 95% confidence interval [CI] 61.5, 71.9). Patients without a partner (adjusted odds ratio [AOR] = 1.470, 95% CI 1.23, 4.42), patients residing in a rural area (AOR = 2.51, 95% CI 1.123, 5.513) and those with a history of PIH during their current pregnancy (AOR = 0.104, 95% CI 0.053, 0.014) were significantly more likely to have a spontaneous preterm birth. Conclusion The prevalence of spontaneous preterm birth in in this study was high. Healthcare providers and all stakeholders should focus on screening pregnant women at the risk of spontaneous preterm birth.

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Impact of smoking and fetal gender on preterm delivery

Journal of Developmental Origins of Health and Disease ◽

10.1017/s2040174420000999 ◽

2020 ◽

pp. 1-6

Author(s):

Veronika Günther ◽

Ibrahim Alkatout ◽

Alexandra Stein ◽

Nicolai Maass ◽

Alexander Strauss ◽

...

Keyword(s):

Risk Factors ◽

Preterm Birth ◽

Preterm Delivery ◽

Preterm Infants ◽

Preterm Births ◽

World Health ◽

Smoking During Pregnancy ◽

Fetal Gender ◽

Extremely Preterm ◽

Heavy Smokers

Abstract According to the World Health Organization, smoking is the most important risk factor for adverse pregnancy outcomes in industrialized nations. We aimed to establish how fetal gender and smoking interact with regard to perinatal outcomes, especially preterm delivery. Data from 220,339 singleton pregnancies, obtained from the German Perinatal Survey in Schleswig-Holstein and registered between 2004 and 2017 were analyzed in regard to smoking behavior, fetal gender, and preterm delivery. The rate of preterm births was directly proportional to the women’s consumption of nicotine. The rate of preterm deliveries was 6.8% among nonsmokers, and 13.2% in women who were very heavy smokers (≥22 cigarettes/day). Very heavy smoking (≥22 cigarettes/day) had a marked impact on extremely preterm births (<28 weeks of gestation) and very preterm births (28–31 weeks of gestation). Preterm births increased by 1.2% from heavy smokers to very heavy smokers; the differences between the other groups ranged between 0.1% and 0.4%. Fetal gender also had an impact on preterm birth: male infants were predominant in nearly all groups of women who delivered preterm infants. Smoking during pregnancy and male gender are both risk factors for preterm delivery. Fetal gender should be given greater attention as one of the several risk factors of preterm birth. Due to the high rate of morbidity among preterm infants and enormous costs for the healthcare system, women should be encouraged to cease or at least reduce smoking during pregnancy.

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THE ASSOCIATION OF PRETERM BIRTH AND CARDIOVASCULAR RISK FACTORS WITH MATERNAL NATIVITY AND DURATION OF RESIDENCE IN THE UNITED STATES AMONG NON-HISPANIC BLACK WOMEN

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(21)04751-3 ◽

2021 ◽

Vol 77 (18) ◽

pp. 3397

Author(s):

Garima Sharma ◽

Ellen Boakye ◽

Omar Dzaye ◽

Yaa Adoma Kwapong ◽

Sammy Zakaria ◽

...

Keyword(s):

United States ◽

Risk Factors ◽

Cardiovascular Risk ◽

Preterm Birth ◽

Black Women ◽

Cardiovascular Risk Factors ◽

The United States ◽

Duration Of Residence ◽

Maternal Nativity

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Maternal biological age assessed in early pregnancy is associated with gestational age at birth

Scientific Reports ◽

10.1038/s41598-021-94281-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Eva E. Lancaster ◽

Dana M. Lapato ◽

Colleen Jackson-Cook ◽

Jerome F. Strauss ◽

Roxann Roberson-Nay ◽

...

Keyword(s):

Risk Factors ◽

Preterm Birth ◽

Early Pregnancy ◽

Gestational Age ◽

Cellular Aging ◽

Biological Age ◽

Potential Candidate ◽

A Genome ◽

Gestational Age At Birth ◽

Age At Birth

AbstractMaternal age is an established predictor of preterm birth independent of other recognized risk factors. The use of chronological age makes the assumption that individuals age at a similar rate. Therefore, it does not capture interindividual differences that may exist due to genetic background and environmental exposures. As a result, there is a need to identify biomarkers that more closely index the rate of cellular aging. One potential candidate is biological age (BA) estimated by the DNA methylome. This study investigated whether maternal BA, estimated in either early and/or late pregnancy, predicts gestational age at birth. BA was estimated from a genome-wide DNA methylation platform using the Horvath algorithm. Linear regression methods assessed the relationship between BA and pregnancy outcomes, including gestational age at birth and prenatal perceived stress, in a primary and replication cohort. Prenatal BA estimates from early pregnancy explained variance in gestational age at birth above and beyond the influence of other recognized preterm birth risk factors. Sensitivity analyses indicated that this signal was driven primarily by self-identified African American participants. This predictive relationship was sensitive to small variations in the BA estimation algorithm. Benefits and limitations of using BA in translational research and clinical applications for preterm birth are considered.

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