Incidence, Risk Factors, and Outcomes of Preterm and Early Term Births: A Population-Based Register Study

Unraveling the Molecular Links between Fine Particulate Matter Exposure and Early Birth Risks in African American Mothers: A Metabolomics Study in the Atlanta African American Maternal-Child Cohort

In the United States, African Americans (AA) are disproportionately exposed to elevated levels of ambient fine particulate matter (PM2.5) while suffering from the highest rates of early births. To elucidate the largely unknown underlying mechanism, we analyzed serum metabolomics from 330 participants in the Atlanta AA Maternal-Child Cohort and performed high-throughput mediation analysis to identify intermediate metabolites and pathways linking PM2.5 to early births. Energy-metabolism-related metabolites (carnitine and adenosine triphosphate), along with lysoPE(20:3) and acetylcysteine, were both associated with PM2.5 exposure and elevated early birth risks. Perturbations in protein digestion and absorption and aromatic amino acid (phenylalanine, tyrosine, and tryptophan) metabolism may potentially mediate the associations between PM2.5 and early births. We identified significant indirect effects of cortexolone (Proportion mediated: -11.8%) and lysoPE(20:3) (9.4%) in mediating the relationship between PM2.5 and early births. Our findings might aid in early birth prevention among AA communities by providing novel insights into the underlying biological mechanism.

Application of Proteomics in Maternal and Neonatal Health: Advancements and Future Directions

Maternal and neonatal health (women during pregnancy, childbirth, and the postnatal period) presents a spectrum of healthcare challenges, including preterm birth, preeclampsia, intrauterine growth restriction, polycystic ovarian syndrome, and gestational diabetes mellitus. While genomic investigations have shed light on many of these topics, protein biomarker discovery, a pivotal aspect of such research, holds promise in offering insights into disease diagnosis, progression, and prognosis. This review paper aims to explore the landscape of proteomics research pertaining to the aforementioned disorders. In the search for viable biomarkers, existing ones are either outdated or lack specificity and new ones being investigated do not commonly make it to the validation stage. In this review, the reasons for the gap between the biomarker discovery stage and the clinical validation stage are evaluated, in addition to what steps are being taken to mitigate the unexpectedly slow scientific and clinical progress. Notably, this paper also delves into the ethnic disparities found in maternal and neonatal health research, as well as how AI is currently being used to alleviate socioeconomic and ethnic disparities, as well as its advantages for the analysis of large "omics" datasets. We anticipate this investigation will provide critical, invaluable information for researchers, medical professionals, and policy decision-makers in this field to improve overall maternal and neonatal health outcomes.

Exploring Differentially Methylated Genes among Preterm Birth and Full-Term Birth

INTRODUCTION

Preterm birth (PTB) is a major contributor to neonatal morbidity and mortality. DNA methylation plays a critical role in fetal development and may serve as an epigenetic biomarker for PTB. However, few epigenetic studies have investigated PTB-specific DNA methylation changes. This study aimed to identify epigenetic differences between PTB and term birth (TB) infants.

METHODS

A total of 218 cord blood samples from three independent PTB studies were analyzed to identify epigenetic differences between PTB and TB infants. Differential methylation analysis was conducted while adjusting for key covariates, including gestational age, sex, and disease status. Differentially methylated regions (DMRs) (genes and promoters) and differentially methylated sites (DMSs) (CpG sites) were assessed for significant methylation differences between the two groups.

RESULTS

In PTB infants, several genes, including RNASE3, HGF, CLEC5A, LIPN, NXF1, and CCDC12 showed significant hypermethylation (p < 0.05), while the MUC20 and IFNL4 genes showed significant hypomethylation (p < 0.05). The eForge analysis revealed that hypermethylated (p < 0.05) CpG sites were significantly enriched in different fetal tissues such as the small and large intestines, adrenal gland, fetal heart, lungs, and kidney, whereas hypomethylated CpGs showed no significant enrichment. Gene ontology analysis indicated that differentially methylated genes were primarily involved in immune response regulation. Notably, S100A9 and S100A8 genes, which play crucial roles in neonatal immune function and sepsis risk, were hypermethylated (p < 0.05) in PTB infants.

CONCLUSION

This study identified PTB-associated DNA methylation changes in immune-related genes, suggesting their potential epigenetic biomarkers for PTB. These findings enhance our understanding of PTB pathogenesis and may contribute to the development of novel diagnostic and therapeutic strategies.

Interaction between time-of-day and oxytocin efficacy in mice and humans with and without gestational diabetes

Management of labor in women with diabetes is challenging due to the high risk of peri- and postpartum complications. To avoid cesarean section and assist with labor progression, Pitocin, a synthetic oxytocin, is frequently used to induce and augment labor. However, the efficacy of Pitocin is often compromised in diabetic pregnancies, leading to increased cesarian delivery. As diabetes deregulates the body's circadian timekeeping system and the time-of-day of the first Pitocin administration contributes to labor duration, our objective was to determine how the time of day and the circadian clock gene, Bmal1, gates oxytocin efficacy. Our studies in mice show that, compared to the rest phase of the day (lights on), the uterotonic efficacy of oxytocin is significantly increased during the active phase (lights off). Using in vitro studies, a myometrium-specific Bmal1 conditional knockout mouse model, and a mouse model of food-induced gestational diabetes, we find that Bmal1 is crucial for maintaining oxytocin receptor expression and response in the myometrium in mice. These findings also translate to humans, where oxytocin-induced human myometrial cell contraction is time-of-day dependent, and retrospective clinical data suggest that administration of Pitocin in the morning should be considered for pregnant women with gestational diabetes.

Maternal and neonatal risks and outcomes after bariatric surgery: a comparative population based study across BMI categories in Qatar

The impact of Bariatric Surgery (BS) on maternal and neonatal outcomes among pregnant women is not fully understood, especially in comparison to different weight categories. The primary aim of this study is to assess the factors associated to women who have undergone BS. The study also investigates the maternal and neonatal outcomes amongst this group in comparison to the three Body Mass Index (BMI) groups (women with obesity, overweight and normal weight). A 12-month population-based retrospective study was conducted using registry data from the PEARL-Peristat Study at the Women's Wellness and Research Center (WWRC) in Qatar from January 1, 2017, through December 31, 2017. Both univariate and multivariable regression analyses were employed to scrutinize risk factors and maternal and neonatal outcomes. The study included 6212 parturient women, of which 315 had a history of BS, while 5897 with no BS history. Qatari women, aged 35 and higher, with parity > 1, diabetes, and hypertension were more likely to be in the post-BS group. Women in the post-BS group were found to be more likely to have a cesarean delivery (37.5% vs. 24%, Adjusted Odds Ratio (aOR) = 1.59, CI 1.18-2.14), preterm babies (10% vs. 7%, aOR = 1.66, CI 1.06-2.59), and stillbirth (1.6% vs. 0.4%, aOR = 4.53, CI 1.33-15.50) compared to the normal weight women group. Moreover, post-BS women had a higher risk of low-birth-weight neonates than women with obesity (15% vs. 8%, aOR = 1.77, CI 1.153-2.73), overweight (15% vs. 7%, aOR = 1.63, CI 1.09-2.43), and normal weight (15% vs. 8%, aOR = 1.838, CI 1.23-2.75). Finally, women in the post-BS group were more likely to have low-birth-weight neonates amongst term babies than women with obesity and overweight. Pregnancies with post-BS should be considered a high-risk group for certain medical outcomes and should be monitored closely. These findings may guide the future clinical decisions of antenatal and postnatal follow-up for post-BS women.

The impact of sociodemographic, health status and resources, macroeconomic, and environmental factors on infant mortality rates in Qatar, Kingdom of Saudi Arabia, and the United Arab Emirates

OBJECTIVES

This study aims to study the impact of sociodemographic (SD), health status and resources (HSR), macroeconomic (ME), and Environmental (EV) factors on the infant mortality rate (IMR) in Qatar, Kingdom of Saudi Arabia (KSA), and the United Arab Emirates (UAE) and from 1990 to 2022.

DESIGN

A retrospective time-series study employing yearly data was conducted. A generalized least squares model was utilized to construct an exploratory model of IMR determinants for each country.

RESULTS

In SD, the risk of IMR may be increased with a higher crude birth rate, adolescent fertility rate, and married women percentage. In HSR, immunization coverage shows a significant effect in preventing neonatal diseases and reducing IMR. In ME, the effect of parents' employment seems contradicted among the three countries. In EV, greenhouse emissions have also had contradictory effects among the three countries, suggesting a complex relationship with IMR. Some were consistent with global findings, whereas others contradicted the prevailing narrative.

CONCLUSIONS

This study highlights the need for tailored public health interventions addressing socio-demographic, healthcare, and environmental contexts to effectively reduce IMR and enhance infant health outcomes.

An intelligent adverse delivery outcomes prediction model based on the fusion of multiple obstetric clinical data

Adverse delivery outcomes is a major re-productive health problem that affects the physical and mental health of pregnant women. Obviously, obstetric clinical data has periodically time series characteristics. This paper proposed a three stage adverse delivery outcomes prediction model via the fusion of multiple time series clinical data. The first stage is data aggregation, in which the data set is collected from the obstetric clinical data and divided based on time series features. In the second stage, a multi-channel gated cycle unit is used to solve the calculation error caused by irregular sampling of time series data. The hidden layer feature vector is connected with the fully connected layer, reshaped into a new one-dimensional feature, and fused with the non-time series data into a new data set. The third stage is the prediction stage of adverse delivery outcomes. By connecting the multi-channel gated cycle unit with the extreme gradient lift, the data transmitted in the corresponding channel is used in the feature extraction stage, in which the weighted entropy-based feature extraction is adopted. With the help of the extracted features, a hybrid artificial neural network architecture (MGRU-XGB) was developed to predict adverse delivery outcomes. The experimental results showed that the hybrid model had the best prediction performance for adverse delivery outcomes compared with other single models in terms of sensitivity, specificity, AUC and other evaluation indexes.

Precision medicine activities and opportunities for shaping maternal and neonatal health in Qatar

Precision Medicine (PM) is a transformative clinical medicine strategy that aims to revolutionize healthcare by leveraging biological information and biomarkers. In the context of maternal and neonatal health, PM enables personalized care from preconception through the postnatal period. Qatar has emerged as a key player in PM research, with dedicated programs driving advancements and translating cutting-edge research into clinical applications. This article delves into neonatal and maternal health in Qatar, emphasizing PM programs and initiatives that have been implemented. It also features noteworthy clinical cases that demonstrate the effectiveness of precision interventions. Furthermore, the article highlights the role of pharmacogenomics in addressing various maternal health conditions. The review further explores potential advancements in the application of PM in maternal and neonatal healthcare in Qatar.

Effect of access to antenatal care on risk of preterm birth among migrant women in Italy: A population-based cohort study

Objective

To evaluate the association between maternal migration status and preterm birth, and whether a better adherence to antenatal care during pregnancy mitigates the risk of preterm birth.

Design

Population-based cohort.

Setting

Administrative databases of the Lombardy region, Italy.

Population

First singleton births of women aged 15-55 years at 22-42 gestational weeks, between 2016 and 2021.

Methods

Assessed the risk of preterm birth (<37 weeks).

Main outcome measures

A multivariable logistic regression mediation model calculated the mediation effect of adherence to antenatal care in the association between maternal migrant status and preterm birth and the residual effect not mediated by it. Analyses were adjusted for the socio-demographic and pregnant characteristics of the women.

Results

Of 349,753 births in the cohort, Italian nationality accounted for 71 %; 28.4 % were documented migrants and 0.4 % undocumented migrants. Among them, 5.3 %, 6.4 %, and 9.3 % had a preterm birth, respectively. Using deliveries of Italian citizens as referent, migrants had a significantly increased risk of preterm birth (adjusted relative risk: 1.22, 95 % confidence interval: 1.18-1.27). Adherence to antenatal care mediated the 62 % of such risk. We have calculated that adherence to antenatal pathways set to the highest level for the whole population could lead to a 37 % reduction in preterm birth risk.

Conclusion

Part of the excess of preterm birth among documented and undocumented migrants in Italy can be explained by a lack of adherence to the antenatal care path despite equal access to National Health care. The adherence of all pregnant women to antenatal care would reduce the risk of preterm birth by about one-third.

A cross-sectional analysis of preterm birth incidence and survival in Al Kharj, Saudi Arabia

OBJECTIVES

To understand the prevalence and survival rates of preterm birth (PTB) is of utmost importance in informing healthcare planning, improving neonatal care, enhancing maternal and infant health, monitoring long-term outcomes, and guiding policy and advocacy efforts.

METHODS

The medical records of preterm infants admitted to the Neonatal Intensive Care Unit (NICU) with a diagnosis of prematurity at the Maternity and Children's Hospital (MCH), Al Kharj, Saudi Arabia, were reviewed between January 2018 and December 2022. Data were collected on birth weight (BW), gender, number of live births, gestational age, mortality, nationality, APGAR score, length of stay in the NICU, and maternal details.

RESULTS

A total of 9809 live births were identified between 2018 and 2022, of which 139 (3.9%) were born preterm. The overall mortality rate of the included sample was 7.19%, whereas the mortality rate according to BW was 38.4% of those born with extremely low birth weight (ELBW). The most common intrapartum complications were malpresentation (15.1%), placental complications (4.3%), and cord complications (3.6%).

CONCLUSION

This study provides valuable insights into the prevalence of PTB in the country, particularly focusing on the vulnerability of extremely preterm babies.

Perinatal mortality in the municipality of Panchimalco, San Salvador: a case series

Perinatal mortality is an indicator that reflects the impact of maternal and infant care in a country. This study presents nine cases of perinatal mortality that occurred in the municipality of Panchimalco, El Salvador. The information was obtained from audit reports. The mothers of the deceased infants were aged between 17 and 43 years, did not use contraceptive methods, had incomplete prenatal controls and averaged a gestational age of 31 weeks. Three deliveries were attended in the community. Most perinatal deaths occurred before delivery due to unknown causes, and live births were preterm. We identified factors such as deficits in comprehensive care for women. Further studies are needed to determine the main factors influencing perinatal deaths in El Salvador. Motivation for the study. It is necessary to understand the maternal and infant characteristics of perinatal deaths. Additionally, it is required to generate evidence that contributes to a better understanding of these events. Main findings. Nine cases of perinatal deaths with maternal-fetal risk characteristics were identified. Most deaths occurred before delivery, with prematurity predominating in the neonates. Implications. Understanding the maternal and infant characteristics of perinatal deaths is essential for developing preventive strategies aimed at reducing risk factors related to perinatal mortality.

Neonatal Birthweight Spectrum: Maternal Risk Factors and Pregnancy Outcomes in Saudi Arabia

Background and Objectives: Low-birth-weight (LBW) neonates are at increased risk of morbidity and mortality which are inversely proportional to birth weight, while macrosomic babies are at risk of birth injuries and other related complications. Many maternal risk factors were associated with the extremes of birthweight. The objectives of this study are to investigate maternal risk factors for low and high birthweight and to report on the neonatal complications associated with abnormal birth weights. Materials and Methods: We conducted a retrospective analysis of medical records of deliveries ≥ 23 weeks. We classified the included participants according to birth weight into normal birth weight (NBW), LBW, very LBW (VLBW), and macrosomia. The following maternal risk factors were included, mother's age, parity, maternal body mass index (BMI), maternal diabetes, and hypertension. The neonatal outcomes were APGAR scores < 7, admission to neonatal intensive care unit (NICU), respiratory distress (RD), and hyperbilirubinemia. Data were analyzed using SAS Studio, multivariable logistic regression analyses were used to investigate the independent effect of maternal risk factors on birthweight categories and results were reported as an adjusted odds ratio (aOR) and 95% Confidence Interval (CI). Results: A total of 1855 were included in the study. There were 1638 neonates (88.3%) with NBW, 153 (8.2%) with LBW, 27 (1.5%) with VLBW, and 37 (2.0%) with macrosomia. LBW was associated with maternal hypertension (aOR = 3.5, 95% CI = 1.62-7.63), while increasing gestational age was less likely associated with LBW (aOR = 0.51, 95% CI = 0.46-0.57). Macrosomia was associated with maternal diabetes (aOR = 3.75, 95% CI = 1.67-8.41), in addition to maternal obesity (aOR = 3.18, 95% CI = 1.24-8.14). The odds of VLBW were reduced significantly with increasing gestational age (aOR = 0.41, 95% CI = 0.32-0.53). In total, 81.5% of VLBW neonates were admitted to the NICU, compared to 47.7% of LBW and 21.6% of those with macrosomia. RD was diagnosed in 59.3% of VLBW neonates, in 23% of LBW, in 2.7% of macrosomic and in 3% of normal-weight neonates. Hyperbilirubinemia was reported in 37.04%, 34.21%, 22.26%, and 18.92% of VLBW, LBW, NBW, and macrosomic newborns, respectively. Conclusions: Most neonates in this study had normal birthweights. Maternal hypertension and lower gestational age were associated with increased risk of LBW. Additionally, maternal obesity and diabetes increased the risk of macrosomia. Neonatal complications were predominantly concentrated in the LBW and VLBW, with a rising gradient as birthweight decreased. The main complications included respiratory distress and NICU admissions.

The association between maternal anemia during pregnancy and preterm birth

BACKGROUND & AIMS

Maternal anemia is one of the most serious health problems during pregnancy. The causes of anemia include iron deficiency, parasitic diseases, micronutrient deficiencies, and hereditary hemoglobinopathies. Because the reported association between maternal anemia and preterm labor in different studies is varied depending on the month of pregnancy this study aims to determine this relationship after adjustment for potential confounders.

METHODS

A case-control study was conducted among 801 pregnant women (267 cases and 534 controls) in Sardashat, Iran from October 2012 to October 2013. Hemoglobin (Hb) values were measured for all women participating in the study during the first and second trimesters of pregnancy, and the average Hb values were presented. Statistical analyzes were performed with logistic regression.

RESULTS

The mean age of participants was 26.4 ± 5.25 years for the case group and 27.2 ± 6.51 years for the control group. Preterm birth was associated with maternal anemia during pregnancy [aOR = 2.69 (95% CI; 1.46 to 4.95)] even after adjusting for confounding effects including maternal age, history of abortion [aOR = 2.41 (95% CI; 1.42 to 4.08)], history of preterm birth [aOR = 11.38 (95% CI; 3.48 to 37.22)], obesity (aOR: 3.441; CI95%: 1.18-10.06), parity [aOR = 0.42 (95% CI; 0.25 to 0.69)], preeclampsia/eclampsia [aOR = 6.08 (95% CI; 2.64 to 14)], and GDM [aOR = 4.80 (95% CI; 2.02 to 11.41)]).

CONCLUSION

Early detection and adequate treatment of anemia during pregnancy can help reduce the prevalence of preterm birth.

Breastfeeding Duration and Exclusivity Among Early-Term and Full-Term Infants: A Cohort Study

Background

As compared to full-term infants (39-41 weeks of gestation), early-term infants (37-38 wk) are at increased risk of adverse outcomes, including shorter exclusive breastfeeding (EB) duration and continued breastfeeding.

Objectives

To compare early-term with full- and late-term infants regarding the prevalence of EB at 3 mo and any breastfeeding at 12 mo.

Methods

Data sets from two population-based birth cohorts conducted in the city of Pelotas, Brazil, were combined. Only term infants (37 0/7 through 41 6/7 weeks of gestation) were included in the analyses. Early-term infants (37 0/7 through 38 6/7 wk) were compared to the remaining term infants (39 0/7 through 41 6/7 wk). Information on breastfeeding was gathered through maternal interviews at the 3-mo and 12-mo follow-ups. The prevalence of EB at 3 mo and any breastfeeding at 12 mo with 95% CIs were calculated. Crude and adjusted prevalence ratios (PRs) were obtained through Poisson regression.

Results

A total of 6395 infants with information on gestational age and EB at 3 mo and 6401 infants with information on gestational age and any breastfeeding at 12 mo were analyzed. There was no difference between early-term infants and the remaining term infants regarding the prevalence of EB at 3 mo (29.2% and 27.9%, respectively) (P = 0.248). Prevalence of any breastfeeding at 12 mo was lower in early-term infants than among those born between 39 0/7 and 41 6/7 weeks of gestation (38.2% compared with 42.4%) (P = 0.001). In the adjusted analysis, the PR for any breastfeeding at 12 mo was 15% lower in the early-term group than in the remaining term infants (PR = 0.85; 95% CI: 0.76-0.95) (P = 0.004).

Conclusions

The prevalence of EB at 3 mo was similar among term infants. Nonetheless, in comparison with the remaining infants born at term, early-term infants were at increased risk of having been weaned before reaching 12 mo of age. Curr Dev Nutr 2023;xx:xx.

Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study

Congenital anomalies (CAs) are a leading cause of morbidity and mortality in early life. We aimed to assess the incidence, risk factors, and outcomes of major CAs in the State of Qatar. A population-based retrospective data analysis of registry data retrieved from the Perinatal Neonatal Outcomes Research Study in the Arabian Gulf (PEARL-Peristat Study) between April 2017 and March 2018. The sample included 25,204 newborn records, which were audited between April 2017 and March 2018, of which 25,073 live births were identified and included in the study. Maternal risk factors and neonatal outcomes were assessed for association with specific CAs, including chromosomal/genetic, central nervous system (CNS), cardiovascular system (CVS), facial, renal, multiple congenital anomalies (MCAs) using univariate and multivariate analyses. The incidence of any CA among live births was 1.3% (n = 332). The most common CAs were CVS (n = 117; 35%), MCAs (n = 69, 21%), chromosomal/genetic (51; 15%), renal (n = 39; 12%), CNS (n = 20; 6%), facial (14, 4%), and other (GIT, Resp, Urogenital, Skeletal) (n = 22, 7%) anomalies. Multivariable regression analysis showed that multiple pregnancies, parity ≥ 1, maternal BMI, and demographic factors (mother's age and ethnicity, and infant's gender) were associated with various specific CAs. In-hospital mortality rate due to CAs was estimated to be 15.4%. CAs were significantly associated with high rates of caesarean deliveries (aOR 1.51; 95% CI 1.04-2.19), Apgar < 7 at 1 min (aOR 5.44; 95% CI 3.10-9.55), Apgar < 7 at 5 min (aOR 17.26; 95% CI 6.31-47.18), in-hospital mortality (aOR 76.16; 37.96-152.8), admission to neonatal intensive care unit (NICU) or perinatal death of neonate in labor room (LR)/operation theatre (OT) (aOR 34.03; 95% CI 20.51-56.46), prematurity (aOR 4.17; 95% CI 2.75-6.32), and low birth weight (aOR 5.88; 95% CI 3.92-8.82) before and after adjustment for the significant risk factors. This is the first study to assess the incidence, maternal risk factors, and neonatal outcomes associated with CAs in the state of Qatar. Therefore, a specialized congenital anomaly data registry is needed to identify risk factors and outcomes. In addition, counselling of mothers and their families may help to identify specific needs for pregnant women and their babies.

Preterm, early term, and post-term infants from Riyadh mother and baby multicenter cohort study: The cohort profile

Background

Birth before 37 or beyond 42 gestational weeks is associated with adverse neonatal and maternal outcomes. Studies investigating determinants and outcomes of these deliveries are scarce. The objective of this study was to determine the neonatal birth profile in relation to the gestational age at delivery and to evaluate its influence on the immediate maternal and neonatal outcomes.

Methods

This is a multicenter cohort study of 13,403 women conducted in three hospitals in Riyadh. Collected data included sociodemographic characteristics, obstetric history, and physical and laboratory measurements. Regression models were developed to estimate the adjusted odds ratio (OR) and confidence intervals (CI) to determine factors associated with preterm, early term, and post-term births and to evaluate common maternal and neonatal risks imposed by deliveries outside the full term.

Results

The incidence of preterm, early term, and post-term delivery was 8.4%, 29.8%, and 1.4%, respectively. Hypertensive events during pregnancy consistently increased the risk of all grades of preterm births, from more than 3-fold for late preterm (OR = 3.40, 95% CI = 2.21-5.23) to nearly 7-fold for extremely early preterm (OR = 7.11, 95% CI = 2.24-22.60). Early term was more likely to occur in older mothers (OR = 1.30, 95% CI = 1.13-1.49), grand multiparous (OR = 1.21, 95% CI = 1.06-1.38), pregestational diabetes (OR = 1.91, 95% CI = 1.49-2.44), and gestational diabetes women (OR = 1.18, 95% CI = 1.05-1.33). The risk of post-term birth was higher in primiparous. In preterm births, the adverse outcome of neonates having an APGAR score of <7 at 5 min and admission to neonatal intensive care units increased progressively as the gestational age decreased. Post-term births are 2-fold more likely to need induction of labor; meanwhile, preterm births were more likely to deliver by cesarean section.

Conclusion

This large cohort study was the first in Saudi Arabia to assess the delivery profile across a continuum of gestational age and the associated maternal and neonatal adverse outcomes of deliveries outside the full-term period. The study showed that the prevalence of preterm and post-term birth in Saudi Arabia is similar to the prevalence in other high-income countries. The immediate adverse pregnancy outcomes inversely increased with the decrease in gestational age at delivery. In addition, maternal age, hypertension, diabetes, and parity influenced the gestational age at delivery.

The Influence of Maternal Factors on Neonatal Intensive Care Unit Admission and In-Hospital Mortality in Premature Newborns from Western Romania: A Population-Based Study

Background and Objectives: Neonatal mortality is a global public health issue, disproportionately affecting low- and middle-income nations. Although Romania is a high-income nation, according to the European Union’s most recent demographic data, it had the second-highest infant death rate in 2019. Although significant progress has been made in the last three decades in lowering newborn mortality, more initiatives to accelerate progress are required to meet the 2030 Sustainable Development Goals (SDG) objective. Therefore, we aimed to develop an observational study to determine the influence of maternal factors on in-hospital neonatal intensive care unit admission and mortality in premature infants born in western Romania. While newborn mortality has decreased globally, the pace of decline is far less than what is desired. Materials and Methods: A retrospective study comprising 328 premature patients and 422 full-term newborns, was developed at a tertiary obstetrics and gynecology clinic in western Romania, comprising the period of the last 24 months before the COVID-19 pandemic and the first 24 months of the pandemic. Results: The following variables were identified as statistically significant risk factors for neonatal intensive care unit admission: age > 35 years, OR = 1.59; twin births, OR = 1.14; low gestational age, OR = 1.66; preeclampsia, OR = 2.33; and peripartum infection, OR = 2.25. The same risk factors, with the exception of twin births, were significantly associated with in-hospital neonatal mortality. Except for a longer duration of maternal hospitalization and neonatal therapy with surfactant, steroids, and antibiotics, the COVID-19 pandemic did not cause significant differences in the evolution and outcomes of preterm newborns. Conclusions: The major maternal risk factors for NICU admission were advanced age, twin pregnancy, low gestational age, preeclampsia, and peripartum infection. Additionally, these characteristics contributed to a high likelihood of death, despite adequate access to medical care and advanced life support for the neonates. Understanding the causes of morbidity and death in neonates admitted to the neonatal intensive care unit enables better prioritization and planning of health services, resource reallocation, and care quality improvement.

Incidence, risk factors, and feto-maternal outcomes of inappropriate birth weight for gestational age among singleton live births in Qatar: A population-based study

BACKGROUND

Abnormal fetal growth can be associated with factors during pregnancy and at postpartum.

OBJECTIVE

In this study, we aimed to assess the incidence, risk factors, and feto-maternal outcomes associated with small-for-gestational age (SGA) and large-for-gestational age (LGA) infants.

METHODS

We performed a population-based retrospective study on 14,641 singleton live births registered in the PEARL-Peristat Study between April 2017 and March 2018 in Qatar. We estimated the incidence and examined the risk factors and outcomes using univariate and multivariate analysis.

RESULTS

SGA and LGA incidence rates were 6.0% and 15.6%, respectively. In-hospital mortality among SGA and LGA infants was 2.5% and 0.3%, respectively, while for NICU admission or death in labor room and operation theatre was 28.9% and 14.9% respectively. Preterm babies were more likely to be born SGA (aRR, 2.31; 95% CI, 1.45-3.57) but male infants (aRR, 0.57; 95% CI, 0.4-0.81), those born to parous (aRR 0.66; 95% CI, 0.45-0.93), or overweight (aRR, 0.64; 95% CI, 0.42-0.97) mothers were less likely to be born SGA. On the other hand, males (aRR, 1.82; 95% CI, 1.49-2.19), infants born to parous mothers (aRR 2.16; 95% CI, 1.63-2.82), or to mothers with gestational diabetes mellitus (aRR 1.36; 95% CI, 1.11-1.66), or pre-gestational diabetes mellitus (aRR 2.58; 95% CI, 1.8-3.47) were significantly more likely to be LGA. SGA infants were at high risk of in-hospital mortality (aRR, 226.56; 95% CI, 3.47-318.22), neonatal intensive care unit admission or death in labor room or operation theatre (aRR, 2.14 (1.36-3.22).

CONCLUSION

Monitoring should be coordinated to alleviate the risks of inappropriate fetal growth and the associated adverse consequences.