Incidence and recurrence risk of low birth weight in Northern Tanzania: A registry based study

Growth Factor Independence-1 (GFI-1) Gene Expression in Hematopoietic Stem Cell Lineage Differentiation in Low Birth Weight Newborns Compared With Normal Birth Weight Newborns at Term Pregnancy

Introduction Low birth weight (LBW), which is a risk factor for noncommunicable diseases throughout life, is a significant public health concern. In addition to regulating myeloid cell differentiation and proliferation, a transcriptional repressor identified as growth factor independence-1 (GFI-1) is essential for hematopoietic stem cell maintenance and self-renewal. The current study was designed to compare the expression of the GFI-1 gene in the differentiation of hematopoietic stem cells in newborns with LBW and those with normal birth weight (NBW). Methods A prospective comparative analytical study was carried out from September 2019 to September 2021 after obtaining Institute Ethical Committee approval at a tertiary care center in north India. The GFI-1 gene expression levels in 50 cord blood samples from women with term gestation and LBW newborns (<2500 grams) were measured using quantitative real-time polymerase chain reaction (RT-PCR) and compared to gene expression levels in 50 cord blood samples from women with term gestation and NBW newborns (≥2500 grams). The data were analyzed using IBM SPSS statistics software version 24.0 (IBM Corp., Armonk, NY). Results The median GFI-1 expression in LBW newborns is 3.1, whereas among NBW newborns it is 9.39. The difference is significant (P <0.001). The level of GFI-1 gene expression in LBW newborns was correlated with their birth weight. The coefficient of correlation was found to be weakly positive (r = 0.223). The birth weight of NBW newborns was correlated to the level of expression of the GFI-1 gene, which was found to be positively correlated (r = 0.332). Conclusion The levels of the GFI-1 gene and newborn birth weight were compared in LBW infants, which were weakly positively correlated. The level of GFI-1 gene expression at birth was compared to the birth weight of NBW newborns, which was positively correlated.

Association between inter-pregnancy interval and risk of adverse birth outcomes in subsequent pregnancy: A retrospective study from Jordan

BACKGROUND

Adverse birth outcomes, such as preterm birth and low birth weight (LBW), are leading causes of neonatal morbidity and mortality. In this study, we aimed to estimate the association between inter-pregnancy interval (IPI) and the risks of adverse birth outcomes in a subsequent pregnancy.

METHODS

We conducted a retrospective analysis involving 630 mothers who delivered a singleton live infant at a leading tertiary hospital in northern Jordan from March to August 2021. Outcome variables were preterm birth (<37 weeks of gestation) and LBW (<2.5 kg). Using multivariable logistic regression, the association between IPI and these two adverse birth outcomes was investigated.

RESULTS

The rates of preterm birth and LBW were 12.4% and 16.8%, respectively. Compared with an optimal IPI (24-36 months), a short IPI (<24 months) was positively associated with preterm birth (aOR: 4.09; 95% CI: 1.48-6.55) and LBW (aOR: 3.58; 95% CI: 1.57-5.15). Infants conceived after a long IPI (≥ 60 months) had increased odds of preterm birth (aOR: 3.78; 95% CI: 1.12-5.78) and LBW (aOR: 2.65; 95% CI: 1.67-4.03). Preterm delivery was also significantly associated with the mother's age (aOR: 1.10; 95% CI: 1.04-1.17), history of multiple cesarean births (aOR: 2.67; 95% CI: 1.14-4.29), prolonged rupture of membranes (aOR: 2.46; 95% CI: 1.10-5.52), and perinatal death (aOR: 3.42; 95% CI: 1.10-5.49). A mother's history of prior LBW (aOR: 4.39; 95% CI: 1.08-6.80), hypertensive disorders (aOR: 1.95; 95% CI: 1.03-3.89), and multiple cesarean births (aOR: 4.35; 95% CI: 2.10-6.99) was associated with LBW.

CONCLUSIONS

Both short and long IPIs were related to preterm delivery and LBW. Optimal birth spacing is recommended to improve birth outcomes and must be considered when designing effective family planning programs.

Machine learning-based approach for predicting low birth weight

BACKGROUND

Low birth weight (LBW) has been linked to infant mortality. Predicting LBW is a valuable preventative tool and predictor of newborn health risks. The current study employed a machine learning model to predict LBW.

METHODS

This study implemented predictive LBW models based on the data obtained from the "Iranian Maternal and Neonatal Network (IMaN Net)" from January 2020 to January 2022. Women with singleton pregnancies above the gestational age of 24 weeks were included. Exclusion criteria included multiple pregnancies and fetal anomalies. A predictive model was built using eight statistical learning models (logistic regression, decision tree classification, random forest classification, deep learning feedforward, extreme gradient boost model, light gradient boost model, support vector machine, and permutation feature classification with k-nearest neighbors). Expert opinion and prior observational cohorts were used to select candidate LBW predictors for all models. The area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall, and F1 score were measured to evaluate their diagnostic performance.

RESULTS

We found 1280 women with a recorded LBW out of 8853 deliveries, for a frequency of 14.5%. Deep learning (AUROC: 0.86), random forest classification (AUROC: 0.79), and extreme gradient boost classification (AUROC: 0.79) all have higher AUROC and perform better than others. When the other performance parameters of the models mentioned above with higher AUROC were compared, the extreme gradient boost model was the best model to predict LBW with an accuracy of 0.79, precision of 0.87, recall of 0.69, and F1 score of 0.77. According to the feature importance rank, gestational age and prior history of LBW were the top critical predictors.

CONCLUSIONS

Although this study found that the extreme gradient boost model performed well in predicting LBW, more research is needed to make a better conclusion on the performance of ML models in predicting LBW.

A Comparative Cross-sectional Study on Prevalence of Low Birth Weight and its Anticipated Risk Factors

Objective. This study aims to highlight the low birth weight (LBW) in Taiz City (Yemen), as LBW is one of the public health challenges experiencing a profound effect on newborns. Methods. This was a cross-sectional study since the interview and medical records were the sources of data to be analyzed by SPSS. Results. The findings of this study include; a high prevalence of LBW (39.11%), the maternal age was not associated with LBW (P = .68), and education level, economic status, residence place, and health status were not associated with LBW (P < .05). Although the pre-pregnancy BMI, during-pregnancy BMI, MUAC, and gestational age were significantly associated with LBW (P < .05), the only risk factor was gestational age (OR = 9.606, CI = 3.988-23.135, P = .00). Conclusion. LBW is highly prevalent in Taiz (Yemen), so providing good healthcare services is essential to manage LBW incidence.

Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study with historical controls

BACKGROUND

Low birth weight (LBW) is a significant public health concern given its association with early-life mortality and other adverse health consequences that can impact the entire life cycle. In many countries, accurate estimates of LBW prevalence are lacking due to inaccuracies in collection and gaps in available data. Our study aimed to determine LBW prevalence among facility-born infants in selected areas of Kenya and Tanzania and to assess whether the introduction of an intervention to improve the accuracy of birth weight measurement would result in a meaningfully different estimate of LBW prevalence than current practice.

METHODS

We carried out a historically controlled intervention study in 22 health facilities in Kenya and three health facilities in Tanzania. The intervention included: provision of high-quality digital scales, training of nursing staff on accurate birth weight measurement, recording and scale calibration practices, and quality maintenance support that consisted of enhanced supervision and feedback (prospective arm). The historically controlled data were birth weights from the same facilities recorded in maternity registers for the same calendar months from the previous year measured using routine practices and manual scales. We calculated mean birth weight (95% confidence interval CI), mean difference in LBW prevalence, and respective risk ratio (95% CI) between study arms.

RESULTS

Between October 2019 and February 2020, we prospectively collected birth weights from 8441 newborns in Kenya and 4294 in Tanzania. Historical data were available from 9318 newborns in Kenya and 12,007 in Tanzania. In the prospective sample, the prevalence of LBW was 12.6% (95% confidence intervals [CI]: 10.9%-14.4%) in Kenya and 18.2% (12.2%-24.2%) in Tanzania. In the historical sample, the corresponding prevalence estimates were 7.8% (6.5%-9.2%) and 10.0% (8.6%-11.4%). Compared to the retrospective sample, the LBW prevalence in the prospective sample was 4.8% points (3.2%-6.4%) higher in Kenya and 8.2% points (2.3%-14.0%) higher in Tanzania, corresponding to a risk ratio of 1.61 (1.38-1.88) in Kenya and 1.81 (1.30-2.52) in Tanzania.

CONCLUSION

Routine birth weight records underestimate the risk of LBW among facility-born infants in Kenya and Tanzania. The quality of birth weight data can be improved by a simple intervention consisting of provision of digital scales and supportive training.

The relationship between maternal health and neonatal low birth weight in Amman, Jordan: a case-control study

This study aimed to examine the relationship between maternal health during pregnancy and low birth weight (LBW), as well as the impact of COVID-19 on the socio-economic status of pregnant women and its effect on LBW. The study was conducted in Amman, Jordan, and included 2260 mothers who visited Abu-Nusair comprehensive health center between January and December 2020. A matched case-control design was used with 72 cases and 148 controls selected for data collection through medical records and face-to-face interviews. Results showed that factors such as a monthly income of 400 JD or less, living with an extended family, exposure to passive smoking, maternal weight gain of 6-10 kg, maternal anemia, maternal hypertension, delivery by cesarean section, and previous history of LBW newborns were positively associated with an increased risk of LBW. Conversely, factors such as a monthly income above 700 JD, living with a core family, daily intake of iron, calcium, and vitamin D, prenatal visits, healthy food intake, and planning for pregnancy were associated with a lower risk of LBW. COVID-19 infection and its effects on work, family finances, antenatal care visits, and food supply were also positively linked with LBW. In conclusion, socioeconomic status, maternal health, COVID-19, and its impacts were significant risk factors for LBW.

Prevalence, Risk Factors, and Short-Term Outcomes of Full-Term Low Birth Weight Infants Born at a Tertiary Academic Center: A Prospective Case-Control Study

OBJECTIVE

Low birth weight (LBW) infants (<2,500 g) continued to be a global health problem because of the associated short- and long-term adverse outcomes. The study aimed to determine the prevalence, risk factors, and short-term outcomes of term LBW infants STUDY DESIGN:  A prospective and case-control study. All infants born consecutively from September 1, 2018 to August 31, 2019 were included. Cases, term LBW infants, were 1:1 matched to controls, appropriate for gestational age (AGA) term infants. Major congenital or chromosomal anomalies and multiple pregnancies were excluded.

RESULTS

The prevalence of term LBW in the studied period was 4.8%. Mothers of term LBW infants had significantly lower body mass index (p = 0.05), gained less weight (p = 0.01), had a history of previous LBW (p = 0.01), and lower monthly income (p = 0.04) compared with mothers of term AGA infants even after adjustment for confounders. A nonsignificant higher number of term LBW infants needed NICU admission, while their need for phototherapy was deemed significant.

CONCLUSION

We identified nutritional and socioeconomic maternal factors that are significantly associated with LBW infants and should be targeted during antenatal visits to improve neonatal outcomes.

KEY POINTS

· LBW infants (<2,500 g) are at risk of short- and long-term morbidities.. · Poor maternal nutritional and socioeconomic factors increase the risk of LBW infant.. · Targeting identified risk factors of LBW infant antenatally improve neonatal outcomes.

Associated factors of neonatal near miss among newborns of adolescent mothers in Brazil

OBJECTIVE

To identify the associated factors of neonatal near miss among newborns of Brazilian adolescents and to compare their occurrence in young women aged 12 to 16 years and 17 to 19 years.

METHOD

Cross-sectional, hospital-based study, using data from the study Nascer no Brasil ("Birth in Brazil") on puerperal adolescents and their newborns in all regions of Brazil. Multiple and univariate logistic regression were employed to identify the associated factors of neonatal near miss.

RESULTS

The following factors were found to be associated to neonatal near miss among newborns of adolescent mothers: public source of payment (OR = 4.57, 95% CI = 2.02-10.32), having to seek help in different maternity hospitals (OR = 1.52; 95% CI = 1.05-2.20), and maternal near miss (OR = 5.92; 95% CI = 1.94-18.05), in addition to a record of low weight in a previous pregnancy (OR = 3.12; 95% CI = 1.61-6.04) and twin pregnancy (OR = 7.49; 95% CI = 3.28-16.82).

CONCLUSION

Neonatal near miss affected newborns of adolescent mothers in both age groups equally. Also, the determinant factors of neonatal near miss can be mostly reduced with qualified prenatal, labor, and birth care.

Fatores associados ao near miss neonatal em recém-nascidos de adolescentes brasileiras

RESUMO Objetivo: Identificar os fatores associados ao near miss neonatal em recém-nascidos de adolescentes brasileiras e comparar sua ocorrência entre as jovens de 12 a 16 anos e as de 17 a 19 anos. Método: Estudo transversal, de base hospitalar, com dados da pesquisa “Nascer no Brasil”, composto por puérperas adolescentes e seus recém-nascidos em todas as regiões do país. Utilizou-se regressão logística univariada e múltipla para identificar os fatores associados ao near miss neonatal. Resultados: Mostraram-se associados ao near miss neonatal de recém-nascidos de mães adolescentes os fatores fonte de pagamento público (OR = 4,57, IC95% = 2,02–10,32), peregrinação por maternidades (OR = 1,52; IC95% = 1,05–2,20) e presença de near miss materno (OR = 5,92; IC95% = 1,94–18,05), além de histórico de baixo peso em gestação anterior (OR = 3,12; IC95% = 1,61–6,04) e gemelaridade (OR = 7,49; IC95% = 3,28–16,82). Conclusão: O near miss neonatal acometeu igualmente os recém-nascidos de mães adolescentes de ambas as faixas etárias. Além disso, os determinantes do near miss neonatal, em sua maioria, podem ser reduzidos com atenção qualificada ao pré-natal, parto e nascimento.

Predictors of singleton preterm birth using multinomial regression models accounting for missing data: A birth registry-based cohort study in northern Tanzania

BACKGROUND

Preterm birth is a significant contributor of under-five and newborn deaths globally. Recent estimates indicated that, Tanzania ranks the tenth country with the highest preterm birth rates in the world, and shares 2.2% of the global proportion of all preterm births. Previous studies applied binary regression models to determine predictors of preterm birth by collapsing gestational age at birth to <37 weeks. For targeted interventions, this study aimed to determine predictors of preterm birth using multinomial regression models accounting for missing data.

METHODS

We carried out a secondary analysis of cohort data from the KCMC zonal referral hospital Medical Birth Registry for 44,117 women who gave birth to singletons between 2000-2015. KCMC is located in the Moshi Municipality, Kilimanjaro region, northern Tanzania. Data analysis was performed using Stata version 15.1. Assuming a nonmonotone pattern of missingness, data were imputed using a fully conditional specification (FCS) technique under the missing at random (MAR) assumption. Multinomial regression models with robust standard errors were used to determine predictors of moderately to late ([32,37) weeks of gestation) and very/extreme (<32 weeks of gestation) preterm birth.

RESULTS

The overall proportion of preterm births among singleton births was 11.7%. The trends of preterm birth were significantly rising between the years 2000-2015 by 22.2% (95%CI 12.2%, 32.1%, p<0.001) for moderately to late preterm and 4.6% (95%CI 2.2%, 7.0%, p = 0.001) for very/extremely preterm birth category. After imputation of missing values, higher odds of moderately to late preterm delivery were among adolescent mothers (OR = 1.23, 95%CI 1.09, 1.39), with primary education level (OR = 1.28, 95%CI 1.18, 1.39), referred for delivery (OR = 1.19, 95%CI 1.09, 1.29), with pre-eclampsia/eclampsia (OR = 1.77, 95%CI 1.54, 2.02), inadequate (<4) antenatal care (ANC) visits (OR = 2.55, 95%CI 2.37, 2.74), PROM (OR = 1.80, 95%CI 1.50, 2.17), abruption placenta (OR = 2.05, 95%CI 1.32, 3.18), placenta previa (OR = 4.35, 95%CI 2.58, 7.33), delivery through CS (OR = 1.16, 95%CI 1.08, 1.25), delivered LBW baby (OR = 8.08, 95%CI 7.46, 8.76), experienced perinatal death (OR = 2.09, 95%CI 1.83, 2.40), and delivered male children (OR = 1.11, 95%CI 1.04, 1.20). Maternal age, education level, abruption placenta, and CS delivery showed no statistically significant association with very/extremely preterm birth. The effect of (<4) ANC visits, placenta previa, LBW, and perinatal death were more pronounced on the very/extremely preterm compared to the moderately to late preterm birth. Notably, extremely higher odds of very/extreme preterm birth were among the LBW babies (OR = 38.34, 95%CI 31.87, 46.11).

CONCLUSIONS

The trends of preterm birth have increased over time in northern Tanzania. Policy decisions should intensify efforts to improve maternal and child care throughout the course of pregnancy and childbirth towards preterm birth prevention. For a positive pregnancy outcome, interventions to increase uptake and quality of ANC services should also be strengthened in Tanzania at all levels of care, where several interventions can easily be delivered to pregnant women, especially those at high-risk of experiencing adverse pregnancy outcomes.

The association between intimate partner violence and low birth weight and preterm delivery in eastern Ethiopia: Findings from a facility-based study

OBJECTIVE

To determine the associations between intimate partner violence during pregnancy and low birth weight and preterm birth among women who gave birth in public hospitals in Harari region, eastern Ethiopia.

DESIGN

A cross-sectional study was conducted among women who gave birth in public hospitals in Harari region.

PARTICIPANTS

Women aged 16-45 years who gave birth in hospitals from November 2018 to April 2019.

SETTING

Two public hospitals in Harari regional state, eastern Ethiopia MEASUREMENT: Intimate partner violence was measured using a questionnaire adapted from the World Health Organization Multi-Country Study on Women's Health and Domestic Violence against Women. Binary and multiple logistic regression was performed to establish the association between intimate partner violence and low birth weight and preterm birth. Both crude and adjusted odds ratios with 95% confidence intervals were calculated. The level of significance was set at a p-value of <0.05.

RESULTS

In this study, 39% of women reported experiencing partner violence during their most recent pregnancy. The prevalence of preterm birth and low birth weight were found to be 18.9% and 12.01%, respectively. After adjusting for potential confounders, women who experienced any intimate partner violence during pregnancy were 1.62 times (AOR = 1.62, 95%CI= 1.22, 2.78) more likely to give birth prematurely and 1.37 times (AOR= 1.37, 95%CI=1.73, 2.57) more likely to have a low birth weight infant relative to women who did not experience intimate partner violence during pregnancy.

CONCLUSION AND IMPLICATIONS FOR PRACTICE

The results underscore the need for including intimate partner violence prevention as an important strategy to reduce child mortality and morbidity. Screening pregnant women for intimate partner violence and providing support for women who have experienced violence might be helpful in tackling prematurity and low birth weight.

Predictors of neonatal mortality: development and validation of prognostic models using prospective data from rural Bangladesh

Objective

To assess the extent to which maternal histories of newborn danger signs independently or combined with birth weight and/or gestational age (GA) can capture and/or predict postsecond day (age>48 hours) neonatal death.

Methods

Data from a cluster-randomised trial conducted in rural Bangladesh were split into development and validation sets. The prompted recall of danger signs and birth weight measurements were collected within 48 hours postchildbirth. Maternally recalled danger signs included cyanosis (any part of the infant's body was blue at birth), non-cephalic presentation (part other than head came out first at birth), lethargy (weak or no arm/leg movement and/or cry at birth), trouble suckling (infant unable to suckle/feed normally in the 2 days after birth or before death, collected 1-month postpartum or from verbal autopsy). Last menstrual period was collected at maternal enrolment early in pregnancy. Singleton newborns surviving 2 days past childbirth were eligible for analysis. Prognostic multivariable models were developed and internally validated.

Results

Recalling ≥1 sign of lethargy, cyanosis, non-cephalic presentation or trouble suckling identified postsecond day neonatal death with 65.3% sensitivity, 60.8% specificity, 2.1% positive predictive value (PPV) and 99.3% negative predictive value (NPV) in the development set. Requiring either lethargy or weight <2.5 kg identified 89.1% of deaths (at 39.7% specificity, 1.9% PPV and 99.6% NPV) while lethargy or preterm birth (<37 weeks) captured 81.0% of deaths (at 53.6% specificity, 2.3% PPV and 99.5% NPV). A simplified model (birth weight, GA, lethargy, cyanosis, non-cephalic presentation and trouble suckling) predicted death with good discrimination (validation area under the receiver-operator characteristic curve (AUC) 0.80, 95% CI 0.73 to 0.87). A further simplified model (GA, non-cephalic presentation, lethargy, trouble suckling) predicted death with moderate discrimination (validation AUC 0.74, 95% CI 0.66 to 0.81).

Conclusion

Maternally recalled danger signs, coupled to either birth weight or GA, can predict and capture postsecond day neonatal death with high discrimination and sensitivity.