Magnitude of Neonatal Sepsis and Factors Associated with It among Neonates Admitted to the Intensive Care Units of Neonate in the Primary Hospital of Hawzen, Tigray, Ethiopia, 2020.

Purpose: Neonatal sepsis contributes substantially to neonatal mortality and morbidity and is an ongoing major global public health problem particularly in developing countries. A significant proportion of mothers give birth in primary health care, but studies regarding neonatal sepsis and its associated factors among admitted neonates are limited to the hospital which may not be generalized to the primary health care unit. Therefore, this study aimed to assess the proportion of neonatal sepsis and associated factors in the study areas. Objective: To assess the magnitude of neonatal sepsis and its associated factors among neonates admitted to Neonatal Intensive Care Units (NICUs) of Hawzen Primary Hospital, Eastern Zone, Tigray, North Ethiopia, 2020. Methods: An institution-based cross-sectional study design was carried out among 290 study participants in Hawzen Primary Hospital in January-March/2020. A systematic random sampling method was applied to select the study participants, and pretested and structured questionnaires were used to collect data. The collected data were coded, entered, cleaned, and analyzed using SPSS version 20.0 software. Binary logistic regression analyses with a confidence interval of 95% were used to select determinant factors. Statistically significant factors were identified using the adjusted odds ratio (AOR). Statistical significance was determined at p value <0.05. Binary and multivariable logistic regression analyses were applied to see the association of the variables at a p < 0.05. Results: In this study, the overall proportion of neonatal sepsis was (60.2%) 95% CI (56, 68)]. Birth asphyxia [AOR = 2.04; 95%CI (1.07, 3.93)], maternal age of 15-19 [AOR = 2.00; 95% CI (1.81, 11.93)], duration of labor greater or equal to 24 hours [AOR = 3.00; 95% CI (2.67, 14.21)], history of oxygen administration [AOR = 2.37; 95% CI (1.18, 4.75)], neonatal age of greater or equal to seven days [AOR = 4.0595% CI (1.07, 3.93), and home delivery [AOR = 5.00; 95% CI (2.34, 18.92)] were the predictor variables for neonatal sepsis. Conclusion: In this study, neonatal sepsis was high. Birth asphyxia, intranasal oxygen administration, age of the mother, home delivery, and duration of labor were associated with neonatal sepsis.

Efficiency of health systems in middle-income countries and determinants of efficiency in Latin America and the Caribbean.

We estimate the efficiency of health spending in 145 middle and high-income and the potential gains from improving efficiency for a range of health system outputs using Robust Data Envelopment Analysis for 2010-2014 and 2015-2019 and examine associations with health system characteristics. Focusing on Latin American and Caribbean countries, we find large variability in efficiency and overall substantial potential gains in the later period, despite improvements over time. Our results suggest that, for example, improving spending efficiency could increase life expectancy at birth by 3.5 years (4.6%), or slightly more than the 3.4-year improvement in average life expectancy in the region between 2000 and 2015. Similarly, improved efficiency could reduce neonatal mortality by 6.7 per 1,000 live births (62%), increase service coverage by 6 percentage points (8.7%), and reduce the rich-poor gap in birth attendance by 10 percentage points (12.6%). We find that governance quality is positively associated with efficiency. Overall, the findings indicate an urgent need to improve efficiency in the region and substantial scope for realizing the potential gains of such improvements.

The economic impacts of ecosystem disruptions: Costs from substituting biological pest control.

Biodiversity loss is accelerating, yet we know little about how these ecosystem disruptions affect human well-being. Ecologists have documented both the importance of bats as natural predators of insects as well as their population declines after the emergence of a wildlife disease, resulting in a potential decline in biological pest control. In this work, I study how species interactions can extend beyond an ecosystem and affect agriculture and human health. I find that farmers compensated for bat decline by increasing their insecticide use by 31.1%. The compensatory increase in insecticide use by farmers adversely affected health-human infant mortality increased by 7.9% in the counties that experienced bat die-offs. These findings provide empirical validation to previous theoretical predictions about how ecosystem disruptions can have meaningful social costs.

Intersectional configuration of infant mortality due to malnutrition in Colombia: a mini-review.

This mini review delves into the complex issue of mortality linked to malnutrition, highlighting its multifaceted nature beyond just biomedical factors, presenting it as an intricate intersectional phenomenon. Method: The mini-review methodology involved a systematic literature search across databases like PubMed and Scielo, focusing on malnutrition and infant mortality in Colombia. We used specific keywords and Boolean operators to identify relevant studies, emphasizing socio-economic, gender, and ethnic factors, while excluding non-peer-reviewed and outdated publications. Results: The relationship between gender and food/nutrition has deep historical and cultural roots. Patriarchal norms influence dietary habits based on gender roles, often placing undue responsibility on mothers for children's nutritional health, reflecting profound social intersections. Mortality due to malnutrition is most prevalent among indigenous and Afro-descendant children in rural, conflict-affected areas with limited access to healthcare. Unpaid domestic work restricts women's economic independence, intensifying challenges for single-parent households. Conclusion: A comprehensive understanding can shift institutional attitudes toward mothers, leading to more coherent policy strategies and effective interventions.

Home visits versus fixed-site care by community health workers and child survival: a cluster-randomized trial, Mali.

Objective: To test the effect of proactive home visits by trained community health workers (CHWs) on child survival. Methods: We conducted a two arm, parallel, unmasked cluster-randomized trial in 137 village-clusters in rural Mali. From February 2017 to January 2020, 31 761 children enrolled at the trial start or at birth. Village-clusters received either primary care services by CHWs providing regular home visits (intervention) or by CHWs providing care at a fixed site (control). In both arms, user fees were removed and primary health centres received staffing and infrastructure improvements before trial start. Using lifetime birth histories from women aged 15-49 years surveyed annually, we estimated incidence rate ratios (IRR) for intention-to-treat and per-protocol effects on under-five mortality using Poisson regression models. Findings: Over three years, we observed 52 970 person-years (27 332 in intervention arm; 25 638 in control arm). During the trial, 909 children in the intervention arm and 827 children in the control arm died. The under-five mortality rate declined from 142.8 (95% CI: 133.3-152.9) to 56.7 (95% CI: 48.5-66.4) deaths per 1000 live births in the intervention arm; and from 154.3 (95% CI: 144.3-164.9) to 54.9 (95% CI: 45.2-64.5) deaths per 1000 live births in the control arm. Intention-to-treat (IRR: 1.02; 95% CI: 0.88-1.19) and per-protocol estimates (IRR: 1.01; 95% CI: 0.87-1.18) showed no difference between study arms. Conclusion: Though proactive home visits did not reduce under-five mortality, system-strengthening measures may have contributed to the decline in under-five mortality in both arms.

Physician-patient racial concordance and newborn mortality.

The racial gap in infant mortality is a pressing public-health concern, and [B. N. Greenwood et al., Proc. Natl. Acad. Sci. U.S.A. 117, 21194-21200 (2020), 10.1073/pnas.1913405117] suggest that Black newborns are more likely to survive if cared for by Black physicians after birth, even in models that control for numerous variables, including hospital and physician fixed effects, and the 65 most common comorbidities affecting newborns (as described by International Classification of Disease codes). We acquired the data used in the study, covering Florida hospital discharges from 1992 through the third quarter of 2015, to replicate and extend the analysis. We find that the magnitude of the concordance effect is substantially reduced after controlling for diagnoses indicating very low birth weight (<1,500 g), which are a strong predictor of neonatal mortality but not among the 65 most common comorbidities. In fact, the estimated effect is near zero and statistically insignificant in the expanded specifications that control for very low birth weight and include hospital and physician fixed effects.

Temporal Trends of Infant Mortality Secondary to Congenital Heart Disease: National CDC Cohort Analysis (1999-2020).

BACKGROUND: Infant mortality continues to be a significant problem for patients with congenital heart disease (CHD). Limited data exist on the recent trends of mortality in infants with CHD. METHODS: The CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify deaths occurring within the United States with CHD listed as one of the causes of death between 1999 and 2020. Subsequently, trends were calculated using the Joinpoint regression program (version 4.9.1.0; National Cancer Institute). RESULTS: A total of 47,015 deaths occurred in infants due to CHD at the national level from the year 1999 to 2020. The overall proportional infant mortality (compared to all deaths) declined (47.3% to 37.1%, average annual percent change [AAPC]: -1.1 [95% CI -1.6 to -0.6, p < 0.001]). There was a significant decline in proportional mortality in both Black (45.3% to 34.3%, AAPC: -0.5 [-0.8 to -0.2, p = 0.002]) and White patients (55.6% to 48.6%, AAPC: -1.2 [-1.7 to -0.7, p = 0.001]), with a steeper decline among White than Black patients. A statistically significant decline in the proportional infant mortality in both non-Hispanic (43.3% to 33.0%, AAPC: -1.3% [95% CI -1.9 to -0.7, p < 0.001]) and Hispanic (67.6% to 57.7%, AAPC: -0.7 [95% CI -0.9 to -0.4, p < 0.001]) patients was observed, with a steeper decline among non-Hispanic infant population. The proportional infant mortality decreased in males (47.5% to 53.1%, AAPC: -1.4% [-1.9 to -0.9, p < 0.001]) and females (47.1% to 39.6%, AAPC: -0.9 [-1.9 to 0.0, p = 0.05]). A steady decline in for both females and males was noted. CONCLUSION: Our study showed a significant decrease in CHD-related mortality rate in infants and age-adjusted mortality rate (AAMR) between 1999 and 2020. However, sex-based, racial/ethnic disparities were noted, with female, Black, and Hispanic patients showing a lesser decline than male, White, and non-Hispanic patients.

An analysis of cause-specific under-5 mortality in Bangladesh using the demographic and health survey 2011 and 2017-2018.

BACKGROUND: As the Sustainable Development Goal 3.2.1 deadline (2030) approaches, rapidly reducing under-5 mortality (U5M) gains more prominence. However, initiatives or interventions that aided Bangladesh in achieving Millennium Development Goal 4 showed varied effectiveness in reducing certain cause-specific U5M. Therefore, this study aimed to examine the predictors of the key cause-specific mortalities. METHODS: This cross-sectional study was conducted using the Bangladesh Demographic and Health Survey 2011 and 2017-18 data. Cause-specific U5M was examined using multilevel multinomial mixed-effects analyses, and overall/all-cause U5M was examined using multilevel mixed-effects analyses. The respective estimates were compared. RESULTS: The cause-specific analysis revealed that pneumonia and prematurity-related U5M were significantly associated with antenatal care and postnatal care, respectively. However, analysis of overall/all-cause U5M did not reveal any significant association with health services. Twins or multiples had a greater risk of mortality from preterm-related conditions (adjusted Relative Risk Ratio (aRRR): 38.01, 95% CI: 19.08-75.7, p < .001), birth asphyxia (aRRR: 6.52, 95% CI: 2.51-16.91, p < .001), and possible serious infections (aRRR: 11.12, 95% CI: 4.52-27.36, p < .001) than singletons. Children born to mothers 18 years or younger also exhibited a greater risk of mortality from these three causes than children born to older mothers. This study also revealed an increase in the predicted risk of prematurity-related mortality in the 2017-18 survey among children born to mothers 18 years or younger, children born to mothers without any formal education, twins or multiples and children who did not receive postnatal care. CONCLUSIONS: This research provides valuable insights into accelerating U5M reduction; a higher risk of preterm-related death among twins underscores the importance of careful monitoring of mothers pregnant with twins or multiples through the continuum of care; elevated risk of death among children who did not receive postnatal care, or whose mothers did not receive antenatal care stresses the need to strengthen the coverage and quality of maternal and neonatal health care; furthermore, higher risks of preterm-related deaths among the children of mothers with low formal education or children born to mothers 18 years or younger highlight the importance of more comprehensive initiatives to promote maternal education and prevent adolescent pregnancy.

Neonatologist staffing is related to the inter-hospital variation of risk-adjusted mortality of very low birth weight infants in Korea.

This study investigated whether hospital factors, including patient volume, unit level, and neonatologist staffing, were associated with variations in standardized mortality ratios (SMR) adjusted for patient factors in very-low-birth-weight infants (VLBWIs). A total of 15,766 VLBWIs born in 63 hospitals between 2013 and 2020 were analyzed using data from the Korean Neonatal Network cohort. SMRs were evaluated after adjusting for patient factors. High and low SMR groups were defined as hospitals outside the 95% confidence limits on the SMR funnel plot. The mortality rate of VLBWIs was 12.7%. The average case-mix SMR was 1.1; calculated by adjusting for six significant patient factors: antenatal steroid, gestational age, birth weight, sex, 5-min Apgar score, and congenital anomalies. Hospital factors of the low SMR group (N = 10) had higher unit levels, more annual volumes of VLBWIs, more number of neonatologists, and fewer neonatal intensive care beds per neonatologist than the high SMR group (N = 13). Multi-level risk adjustment revealed that only the number of neonatologists showed a significant fixed-effect on mortality besides fixed patient risk effect and a random hospital effect. Adjusting for the number of neonatologists decreased the variance partition coefficient and random-effects variance between hospitals by 11.36%. The number of neonatologists was independently associated with center-to-center differences in VLBWI mortality in Korea after adjustment for patient risks and hospital factors.

THE IMPACT OF BIRTH WEIGHT ON INFANT MORTALITY IN KAZAKHSTAN.

INTRODUCTION: Recognizing the importance of birth weight is fundamental to addressing public health challenges associated with maternal and child health. Birth weight serves as a critical indicator, offering insights into mortality, stunting, and the development of chronic diseases later in life. This study delves into fertility and infant mortality trends in Kazakhstan, with a specific focus on understanding urban-rural disparities and gender variations in mortality rates. OBJECTIVES: The primary objective of this study is to evaluate the influence of birth weight on infant mortality in Kazakhstan, considering demographic and regional nuances. Through comprehensive analysis, we aim to discern patterns and factors contributing to infant mortality, thereby informing targeted interventions and policies aimed at improving maternal and child health outcomes across the country. MATERIALS AND METHODS: The analysis was conducted using the data provided by the Republican State Enterprise on the PCV of the "Republican Centre for Electronic Health Care" of the Ministry of Health of Kazakhstan. RESULTS: In Kazakhstan, birth rates reached their zenith in 2021 (total 446,491 births). However, this figure experienced a downturn in 2022, declining to 403,893 births. Notably, urban regions consistently reported higher birth rates compared to rural areas. The year 2022 witnessed a decline in birth rates across both urban and rural populations, with decreases of 9.5% and 11.7%, respectively, compared to the previous year. Analysis using linear regression techniques on infant mortality rates spanning from 2017 to 2022 revealed no statistically significant time trend (slope=51.29, correlation coefficient=0.42, p=0.41). Gender-specific disparities in mortality rates were starkly evident, with boys exhibiting higher mortality rates compared to girls across all population subsets. Geographical analysis conducted in 2022 exposed significant divergences in mortality rates across various regions. CONCLUSIONS: The study highlights significant urban-rural disparities and gender differences in birth rates and infant mortality within Kazakhstan. It also confirms the protective effect of higher birth weight on infant mortality. Regional disparities suggest targeted public health interventions are necessary to address these variations effectively.

Toilet construction under the Swachh Bharat Mission and infant mortality in India.

Improvement of water and sanitation conditions may reduce infant mortality, particularly in countries like India where open defecation is highly prevalent. We conducted a quasi-experimental study to investigate the association between the Swachh Bharat Mission (SBM)-a national sanitation program initiated in 2014-and infant (IMR) and under five mortality rates (U5MR) in India. We analyzed data from thirty-five Indian states and 640 districts spanning 10 years (2011-2020), with IMR and U5MR per thousand live births as the outcomes. Our main exposure was the district-level annual percentage of households that received a constructed toilet under SBM. We mapped changes in IMR and U5MR and toilet access at the district level over time. We fit two-way fixed effects regression models controlling for sociodemographic, wealth, and healthcare-related confounders at the district-level to estimate the association between toilets constructed and child mortality. Toilet access and child mortality have a historically robust inverse association in India. Toilets constructed increased dramatically across India following the implementation of SBM in 2014. Results from panel data regression models show that districts with > 30% toilets constructed under SBM corresponds with 5.3 lower IMR (p < 0.05), and 6.8 lower U5MR (p < 0.05). Placebo, falsification tests and robustness checks support our main findings. The post-SBM period in India exhibited accelerated reductions in infant and child mortality compared to the pre-SBM years. Based on our regression estimates, the provision of toilets at-scale may have contributed to averting approximately 60,000-70,000 infant deaths annually. Our findings show that the implementation of transformative sanitation programs can deliver population health benefits in low- and middle-income countries.

Diagnostic accuracy of magnetic resonance imaging to predict peripartum hysterectomy and neonatal mortality in total placenta previa: A retrospective cohort study.

OBJECTIVES: To assess the reliability of placental magnetic resonance imaging measurements in predicting peripartum hysterectomy and neonatal outcomes in patients with total placenta previa. STUDY DESIGN: This retrospective cohort study, conducted at a single tertiary center, identified 372 pregnant women diagnosed with placenta previa. 277 singleton pregnancies that met the inclusion criteria and were diagnosed with total placenta previa in the third trimester were divided into two groups according to whether a placental MRI was performed. Two radiologists analyzed the MRI findings of 150 pregnant women with total placenta previa. Measurements were conducted for the placental volume of the upper and lower uterine sectors, cervical canal length, and cervical canal dilatation. A comparison was made between the surgical progression of these pregnant women and 127 pregnant women with total placenta previa who did not undergo an MRI. After pathological examination, 122 (63.2%) of 193 pregnant women diagnosed with placenta accreta spectrum underwent peripartum total abdominal hysterectomy. The results were compared using logistic regression analysis. RESULTS: Reduced placental volume in the upper uterine segment and increased volume in the lower uterine segment significantly correlated with a higher probability of peripartum hysterectomy (cut-off: ≤343.4 and ≥ 403.4 cm3; OR: 0.993, 95 % CI: 0.990-0.995 and OR: 1.007, 95 % CI: 1.005-1.009, respectively). Shortened cervical canal length and increased dilatation raise the risk of peripartum hysterectomy (cut-off: ≤34, ≥11 mm; OR: 0.82, 95 % CI: 0.77 - 0.88 and OR: 1.7, 95 % CI: 1.4 - 2.1, respectively). The risk of neonatal death is 32 times higher in those < 34 weeks than in those 34 weeks or higher (95 % CI: 4.2-250, p = 0.001). CONCLUSIONS: Placental MRI significantly contributes to predicting peripartum total abdominal hysterectomy and neonatal mortality in patients with total placenta previa associated with placenta accreta spectrum.

Impact of postpartum maternal fever or hypothermia on newborn and early infant illness and death in Southwestern Uganda.

BACKGROUND: Deaths occurring during the neonatal period contribute close to half of under-five mortality rate (U5MR); over 80% of these deaths occur in low- and middle-income countries (LMICs). Poor maternal antepartum and perinatal health predisposes newborns to low birth weight (LBW), birth asphyxia, and infections which increase the newborn's risk of death. METHODS: The objective of the study was to assess the association between abnormal postpartum maternal temperature and early infant outcomes, specifically illness requiring hospitalisation or leading to death between birth and six weeks' age. We prospectively studied a cohort of neonates born at Mbarara Regional Referral Hospital in Uganda to mothers with abnormal postpartum temperature and followed them longitudinally through early infancy. We performed a logistic regression of the relationship between maternal abnormal temperature and six-week infant hospitalization, adjusting for gestational age and 10-minute APGAR score at birth. RESULTS: Of the 648 postpartum participants from the parent study who agreed to enrol their neonates in the sub-study, 100 (15%) mothers had abnormal temperature. The mean maternal age was 24.6 (SD 5.3) years, and the mean parity was 2.3 (SD 1.5). There were more preterm babies born to mothers with abnormal maternal temperature (10%) compared to 1.1% to mothers with normal temperature (p=˂0.001). While the majority of newborns (92%) had a 10-minute APGAR score > 7, 14% of newborns whose mothers had abnormal temperatures had APGAR score ˂7 compared to 7% of those born to mothers with normal postpartum temperatures (P = 0.02). Six-week outcome data was available for 545 women and their infants. In the logistic regression model adjusted for gestational age at birth and 10-minute APGAR score, maternal abnormal temperature was not significantly associated with the composite adverse infant health outcome (being unwell or dead) between birth and six weeks' age (aOR = 0.35, 95% CI 0.07-1.79, P = 0.21). The 10-minute APGAR score was significantly associated with adverse six-week outcome (P < 0.01). CONCLUSIONS: While our results do not demonstrate an association between abnormal maternal temperature and newborn and early infant outcomes, good routine neonate care should be emphasized, and the infants should be observed for any abnormal findings that may warrant further assessment. TARGET JOURNAL: BMC Pregnancy and Childbirth ( https://bmcpregnancychildbirth.biomedcentral.com/ ).

Birth outcomes and survival by sex among newborns and children under 2 in the Birhan Cohort: a prospective cohort study in the Amhara Region of Ethiopia.

INTRODUCTION: Despite the progress in reducing child mortality, the rate remains high, particularly in sub-Saharan African countries. Limited data exist on child survival and other birth outcomes by sex. This study compared survival rates and birth outcomes by sex among neonates and children under 2 in Ethiopia. METHODS: Women who gave birth after 28 weeks of gestation and their newborns were included in the analysis. Survival probabilities were estimated for males and females in the neonatal period as well as the 2-year period following birth using Kaplan-Meier curves. HRs and 95% CIs were compared between males and females under 2. Descriptive statistics and χ2 tests were used to determine the sex-disaggregated variation in the birth outcomes of preterm birth, low birth weight (LBW), stillbirth, small for gestational age (SGA) and large for gestational age (LGA). RESULTS: The study included a total of 3904 women and child pairs. The neonatal mortality rate for males (3.4%, 95% CI 2.6% to 4.2%) was higher compared with females (1.7%, 95% CI 1.1% to 2.3%). The hazard of death during the first 28 days of life was approximately two times higher for males compared with females (HR 1.99, 95% CI 1.30 to 3.06) but was not significantly different after this period. While there was a non-significant difference between males and females in the proportion of preterm, LBW and LGA births, we found a significantly higher proportion of stillbirth (2.7% vs 1.3%, p=0.003) and SGA (20.5% vs 15.6%, p<0.001) for males compared with females. CONCLUSIONS: This study identified a significant sex difference in mortality and birth outcomes. We recommend focusing future research on the mechanisms of these sex differences in order to better design intervention programmes to reduce disparities and improve outcomes for neonates.

Associations Between Infant Formula Exposure, Housing Instability and Postneonatal Mortality Among Participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC).

OBJECTIVES: To quantify infant mortality rates (IMR) using expanded racial categories, and to examine associations between infant formula exposure, housing instability and postneonatal mortality among Minnesota WIC Participants. METHODS: Births in Minnesota from 2014 through 2019 (n = 404,102) and associated infant death records (n = 2034) were used to calculate neonatal and postneonatal rates using expanded racial categories. Those births that participated in the WIC program (n = 170,011) and their linked death records (n = 853) were analyzed using logistic regression to examine associations between formula exposure, housing instability, and postneonatal death. RESULTS: Postneonatal IMR was more than twice as prevalent among Black (African American) as East African immigrant infants (IMR = 3.9 vs 1.5). After adjustment for confounding (term status and nativity of mother (U.S. vs foreign born), infants exposed to formula by 28 days were four times as likely to die in the postneonatal period as those without formula exposure (aOR = 4.0; 95% CI 3.2-4.9). WIC participants who experienced housing instability at birth were 1.7 times as likely to lose an infant in the postneonatal period (28 to 364 days of age) as those in stable housing (aOR = 1.7; 95% CI 1.2, 2.4). CONCLUSIONS FOR PRACTICE: Disaggregating Black mortality rates revealed inequities in infant mortality among Black families of varied backgrounds. Formula exposure and housing instability are modifiable risk factors associated with postneonatal mortality. Appropriate interventions to reduce barriers to breastfeeding and provide housing stability for vulnerable families could reduce disparities in postneonatal mortality.

Incidence and predictors of mortality among neonates with congenital heart disease in Ethiopia: a retrospective cohort study.

BACKGROUND: Neonatal mortality poses a significant public health challenge in sub-Saharan Africa, with congenital heart disease emerging as the leading cause of morbidity and mortality among neonates, especially in countries like Ethiopia. Despite efforts to reduce neonatal mortality rates, Ethiopia continues to experience an increased mortality rate, particularly among neonates with congenital heart disease. This study aims to investigate the incidence and predictors of mortality in this vulnerable population within Ethiopia. METHOD: A retrospective cohort study was conducted at an institution, involving 583 randomly selected neonates diagnosed with congenital heart disease. In the current study, the dependent variable was survival status. Data entry utilized EpiData data version 4.6, and analysis was performed using STATA version 16. Probability of death was compared using the log-rank test and Kaplan-Meier failure curve. Significant predictors were identified using bivariable and multivariate Cox regression. Model fitness and proportional hazard assumptions were evaluated using the Cox-Snell graph and Global test, respectively. Associations were assessed by adjusted hazard ratios with 95% confidence intervals. RESULTS: The study participants were followed for 4844 days. The mortality rate was 9.9%. The incidence density was 11.9 per 1000 person-days of observation. Neonatal sepsis (AHR: 2.24; 95% CI [1.18-4.23]), cyanotic congenital heart disease (AHR: 3.49; 95% CI [1.93-6.28]), home delivery (AHR: 1.9; 95% CI [1.06-3.6]), maternal history of gestational diabetes mellitus (AHR: 1.94; 95% CI [1.04-3.61]), and having additional congenital malformations (AHR: 2.49; 95% CI [1.33-4.67]) were significant predictors for neonatal mortality. CONCLUSION AND RECOMMENDATION: The incidence density of mortality was high compared to studies conducted in developed countries. Neonatal sepsis, type of congenital heart disease, place of delivery, maternal history of gestational diabetes mellitus, and having an additional congenital malformation were significant predictors of mortality among neonates with congenital heart disease. Therefore, healthcare providers should pay special attention to patients with identified predictors. Furthermore, the Federal Ministry of Health, stakeholders, and policymakers should collaborate to address this issue.

Effects of ambient heat exposure on risk of all-cause mortality in children younger than 5 years in Africa: a pooled time-series analysis.

BACKGROUND: Reducing child mortality is a Sustainable Development Goal, and climate change constitutes numerous challenges for Africa. Previous research has shown an association between leading causes of child mortality and climate change. However, few studies have examined these effects in detail. We aimed to explore the effects of ambient heat on neonate, post-neonate, and child mortality rates. METHODS: For this pooled time-series analysis, health data were obtained from the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) Health and Demographic Surveillance System. We included data from 29 settlements from 13 countries across Africa, collected via monthly surveys from Jan 1, 1993, to Dec 31, 2016. Climate data were obtained from ERA5, collected from Jan 1, 1991, to Dec 31, 2019. We pooled these data for monthly mean daily maximum wet bulb globe temperature (WBGT) and downscaled to geolocations. Due to data heaping, we pooled our health data on a monthly temporal scale and a spatial scale into six different climate regions (ie, Sahel [ie, Burkina Faso and northern Ghana], Guinea [ie, southern Ghana, Côte d'Ivoire, and Nigeria], Senegal and The Gambia, eastern Africa [ie, Kenya, Malawi, Tanzania, Mozambique, and Uganda], South Africa, and Ethiopia). Our outcomes were neonate (ie, younger than 28 days), post-neonate (ie, aged 28 days to 1 year), and child (ie, older than 1 year and younger than 5 years) mortality. To assess the association between WBGT and monthly all-cause mortality, we used a time-series regression with a quasi-Poisson, polynomial-distributed lag model. FINDINGS: Between Jan 1, 1993, and Dec 31, 2016, there were 44 909 deaths in children younger than 5 years across the 29 sites in the 13 African countries: 10 078 neonates, 14 141 post-neonates, and 20 690 children. We observed differences in the association of heat with neonate, post-neonate, and child mortality by study region. For example, for Ethiopia, the relative risk ratio of mortality at the 95th percentile compared with median heat exposure during the study period was 1·14 (95% CI 1·06-1·23) for neonates, 0·99 (0·90-1·07) for post-neonates, and 0·79 (0·73-0·87) for children. Across the whole year, there was a significant increase in the relative risk of increased mortality for children in eastern Africa (relative risk 1·27, 95% CI 1·19-1·36) and Senegal and The Gambia (1·11, 1·04-1·18). INTERPRETATION: Our results show that the influence of extreme heat on mortality risk in children younger than 5 years varies by age group, region, and season. Future research should explore potentially informative ways to measure subtleties of heat stress and the factors contributing to vulnerability. FUNDING: EU Horizons as part of the Heat Indicators for Global Health (HIGH) Horizons project.

Enhancing the Classification of Congenital Heart Defects for Outcome Association Studies in Birth Defects Registries.

INTRODUCTION: Traditional strategies for grouping congenital heart defects (CHDs) using birth defect registry data do not adequately address differences in expected clinical consequences between different combinations of CHDs. We report a lesion-specific classification system for birth defect registry-based outcome studies. METHODS: For Core Cardiac Lesion Outcome Classifications (C-CLOC) groups, common CHDs expected to have reasonable clinical homogeneity were defined. Criteria based on combinations of Centers for Disease and Control-modified British Pediatric Association (BPA) codes were defined for each C-CLOC group. To demonstrate proof of concept and retention of reasonable case counts within C-CLOC groups, Texas Birth Defect Registry data (1999-2017 deliveries) were used to compare case counts and neonatal mortality between traditional vs. C-CLOC classification approaches. RESULTS: C-CLOC defined 59 CHD groups among 62,262 infants with CHDs. Classifying cases into the single, mutually exclusive C-CLOC group reflecting the highest complexity CHD present reduced case counts among lower complexity lesions (e.g., 86.5% of cases with a common atrium BPA code were reclassified to a higher complexity group for a co-occurring CHD). As expected, C-CLOC groups had retained larger sample sizes (i.e., representing presumably better-powered analytic groups) compared to cases with only one CHD code and no occurring CHDs. DISCUSSION: This new CHD classification system for investigators using birth defect registry data, C-CLOC, is expected to balance clinical outcome homogeneity in analytic groups while maintaining sufficiently large case counts within categories, thus improving power for CHD-specific outcome association comparisons. Future outcome studies utilizing C-CLOC-based classifications are planned.