An explanation of the stagnant under-5 mortality rate in Bangladesh using multilevel, multivariable analysis of three Demographic and Health Surveys.

Despite remarkable success in the Millennium Development Goal era, Bangladesh experienced a sluggish reduction in the under-5 mortality rate (U5MR) between 2014 and 2017-18. Our study aimed to explain this stagnancy by examining the variation in the key predictor-specific mortality risks over time, using the Bangladesh Demographic and Health Survey 2011, 2014 and 2017-18 data. We applied multilevel mixed effects logistic regression to examine the extent to which the under-5 mortality (U5M) risks were associated with the key sociodemographic and health service-specific predictors. We found that the rise in mortality risks attributable to maternal age 18 years or below, low maternal education, mother's overweight or obesity and the absence of a handwashing station within the household were the key contributors to the stagnant U5MR between 2014 and 2017-18. Poverty and low education aggravated the mortality risks. Besides, antenatal care (ANC) and postnatal care (PNC) did not impact U5M risks as significantly as expected. Compulsory use of ANC and PNC cards and strict monitoring of their use may improve the quality of these health services. Leveraging committees like the Upazila Hospital Management Committee can bring harmony to implementing policies and programmes in the sectors related to U5M.

Exploring the determinants of under-five mortality and morbidity from infectious diseases in Cambodia-a traditional and machine learning approach.

Cambodia has made progress in reducing the under-five mortality rate and burden of infectious diseases among children over the last decades. However the determinants of child mortality and morbidity in Cambodia is not well understood, and no recent analysis has been conducted to investigate possible determinants. We applied a multivariable logistical regression model and a conditional random forest to explore possible determinants of under-five mortality and under-five child morbidity from infectious diseases using the most recent Demographic Health Survey in 2021-2022. Our findings show that the majority (58%) of under-five deaths occurred during the neonatal period. Contraceptive use of the mother led to lower odds of under-five mortality (0.51 [95% CI 0.32-0.80], p-value 0.003), while being born fourth or later was associated with increased odds (3.25 [95% CI 1.09-9.66], p-value 0.034). Improved household water source and higher household wealth quintile was associated with lower odds of infectious disease while living in the Great Lake or Coastal region led to increased odds respectively. The odds ratios were consistent with the results from the conditional random forest. The study showcases how closely related child mortality and morbidity due to infectious disease are to broader social development in Cambodia and the importance of accelerating progress in many sectors to end preventable child mortality and morbidity.

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.

Neonatal Mortality Disparities by Gestational Age in European Countries.

Importance: There are wide disparities in neonatal mortality rates (NMRs, deaths <28 days of life after live birth per 1000 live births) between countries in Europe, indicating potential for improvement. Comparing country-specific patterns of births and deaths with countries with low mortality rates can facilitate the development of effective intervention strategies. Objective: To investigate how these disparities are associated with the distribution of gestational age (GA) and GA-specific mortality rates. Design, Setting, and Participants: This was a cross-sectional study of all live births in 14 participating European countries using routine data compiled by the Euro-Peristat Network. Live births with a GA of 22 weeks or higher from 2015 to 2020 were included. Data were analyzed from May to October 2023. Exposures: GA at birth. Main Outcomes and Measures: The study investigated excess neonatal mortality, defined as a rate difference relative to the pooled rate in the 3 countries with the lowest NMRs (Norway, Sweden, and Finland; hereafter termed the top 3). The Kitagawa method was used to divide this excess into the proportion explained by the GA distribution of births and by GA-specific mortality rates. A sensitivity analysis was conducted among births 24 weeks' GA or greater. Results: There were 35 094 neonatal deaths among 15 123 428 live births for an overall NMR of 2.32 per 1000. The pooled NMR in the top 3 was 1.44 per 1000 (1937 of 1 342 528). Excess neonatal mortality compared with the top 3 ranged from 0.17 per 1000 in the Czech Republic to 1.82 per 1000 in Romania. Excess deaths were predominantly concentrated among births less than 28 weeks' GA (57.6% overall). Full-term births represented 22.7% of the excess deaths in Belgium, 17.8% in France, 40.6% in Romania and 17.3% in the United Kingdom. Heterogeneous patterns were observed when partitioning excess mortality into the proportion associated with the GA distribution vs GA-specific mortality. For example, these proportions were 9.2% and 90.8% in France, 58.4% and 41.6% in the United Kingdom, and 92.9% and 7.1% in Austria, respectively. These associations remained stable after removing births under 24 weeks' GA in most, but not all, countries. Conclusions and Relevance: This cohort study of 14 European countries found wide NMR disparities with varying patterns by GA. This knowledge is important for developing effective strategies to reduce neonatal mortality.

Neonatal surgical mortality at a low resource setting, HEAL Africa tertiary hospital, Eastern Democratic Republic of the Congo.

PURPOSE: This study describes the experience with common neonatal surgical conditions and their outcomes at a single center in the Eastern Democratic Republic of the Congo (DRC) over a period of 7 years (2016-2022). METHODS: A retrospective review of neonatal surgical admissions and their outcomes was performed for patient admitted between January 2016 and December 2022 at HEAL Africa teaching hospital. Data were collected from the neonatal admission and discharge registry for all patients with a potential surgical condition. RESULTS: 107 neonates potentially requiring surgery were identified. 81.3% were referred from facilities within 10 km of HEAL Africa. The most common diagnosis was myelomeningocele/meningocele (27.1%). 68.2% of patients had an operation. The overall mortality was 29% for all patients and mean length of stay 9.9 days. Operated patients had a lower mortality at 16.4% (p-value < 0.001, OR 0.155, CI 0.062-0.389) while patients with a birth weight of less than 2500 g were more likely to die (p-value < 0.001, OR 5.333, CI 2.062-13.79). CONCLUSION: The neonatal mortality rate for patients presenting with a potential surgical condition is extremely high. This is multifactorial and largely related to patient selection inherent to resource limitations.

Implications of child poverty reduction targets for public health and health inequalities in England: a modelling study between 2024 and 2033.

BACKGROUND: We investigated the potential impacts of child poverty (CP) reduction scenarios on population health and health inequalities in England between 2024 and 2033. METHODS: We combined aggregate local authority-level data with published and newly created estimates on the association between CP and the rate per 100 000 of infant mortality, children (aged <16) looked after, child (aged <16) hospitalisations for nutritional anaemia and child (aged <16) all-cause emergency hospital admissions. We modelled relative, absolute (per 100 000) and total (per total population) annual changes for these outcomes under three CP reduction scenarios between 2024 and 2033-low-ambition (15% reduction), medium-ambition (25% reduction) and high-ambition (35% reduction)-compared with a baseline CP scenario (15% increase). Annual changes were aggregated between 2024 and 2033 at national, regional and deprivation (IMD tertiles) levels to investigate inequalities. RESULTS: All CP reduction scenarios would result in substantial improvements to child health. Meeting the high-ambition reduction would decrease total cases of infant mortality (293; 95% CI 118 to 461), children looked after (4696; 95% CI 1987 to 7593), nutritional anaemia (458, 95% CI 336 to 574) and emergency admissions (32 650; 95% CI 4022 to 61 126) between 2024 and 2033. Northern regions (eg, North East) exhibited the greatest relative and absolute benefit. The most deprived tertile would experience the largest relative, absolute and total benefit; under high-ambition reduction, total infant mortality cases were predicted to fall by 126 (95% CI 51 to 199) in the most deprived tertile compared with 71 (95% CI 29 to 112) in the least between 2024 and 2033. CONCLUSIONS: Achieving reductions in CP could substantially improve child health and reduce health inequalities in England.

Clinical profiles, incidence and predictors of early neonatal mortality at Mbarara Regional Referral Hospital, south-western Uganda.

BACKGROUND: The current neonatal mortality rate in Uganda is high at 22 deaths per 1000 live births, while it had been stagnant at 27 deaths per 1000 live births in the past decade. This is still more than double the World Health Organization target of < 12 deaths per 1,000 live births. Three-quarters of new born deaths occur within the first week of life, which is a very vulnerable period and the causes reflect the quality of obstetric and neonatal care. At Mbarara Regional Referral Hospital (MRRH), the modifiable contributors and predictors of mortality remain undocumented, yet neonates make the bulk of admissions and contribute significantly to the overall infant mortality rate. We therefore examined the clinical profiles, incidence and predictors of early neonatal mortality of neonates admitted at MRRH in south-western Uganda. METHODS: We conducted a prospective cohort study at the Neonatal Unit of MRRH between August - November, 2022 among neonates. We consecutively included all live neonates aged < 7 days admitted to neonatal unit and excluded those whose outcomes could not be ascertained at day 7 of life. We obtained baseline data including; maternal social-demographic and obstetric information, and performed neonatal physical examinations for clinical profiles. We followed up neonates at 24 and 72 h of life, and at 7 days of life for mortality. We summarized the clinical profiles and incidence of mortality as frequencies and percentages and performed modified Poisson regression analysis to identify the predictors of early neonatal mortality. RESULTS: We enrolled 384 neonates. The majority of neonates were in-born (68.5%, n = 263) and were admitted within 24 h after birth (54.7%, n = 210). The most common clinical profiles at admission were prematurity (46%, n = 178), low birth weight (LBW) (44%, n = 170), sepsis (36%, n = 139), hypothermia (35%, n = 133), and birth asphyxia (32%, n = 124). The incidence of early neonatal mortality was at 12.0%, 46 out of the 384 neonates died. The predictors of early neonatal mortality were hypothermia, [adjusted Risk Ratio: 4.10; 95% C.I (1.15-14.56)], birth asphyxia, [adjusted Risk Ratio: 3.6; 95% C.I (1.23-10.73)] and delayed initiation of breastfeeding, [adjusted Risk Ratio: 7.20; 95% C.I (1.01-51.30)]. CONCLUSION: Prematurity, LBW, sepsis, birth asphyxia and hypothermia are the commonest admission diagnoses. The incidence of early neonatal mortality was high, 12.0%. We recommend targeted interventions by the clinical care team at MRRH to enable timely identification of neonates with or at risk of hypothermia to reduce incidence of adverse outcomes. Intrapartum care should be improved in order to mitigate the risk of birth asphyxia. Breastfeeding within the first hour of birth should be strengthened were possible, as this is associated with vast benefits for the baby and may reduce the incidence of complications like hypothermia.

Predictive Accuracy of Infant Clinical Sign Algorithms for Mortality in Young Infants Aged 0 to 59 Days: A Systematic Review.

CONTEXT: Clinical sign algorithms are a key strategy to identify young infants at risk of mortality. OBJECTIVE: Synthesize the evidence on the accuracy of clinical sign algorithms to predict all-cause mortality in young infants 0-59 days. DATA SOURCES: MEDLINE, Embase, CINAHL, Global Index Medicus, and Cochrane CENTRAL Registry of Trials. STUDY SELECTION: Studies evaluating the accuracy of infant clinical sign algorithms to predict mortality. DATA EXTRACTION: We used Cochrane methods for study screening, data extraction, and risk of bias assessment. We determined certainty of evidence using Grading of Recommendations Assessment Development and Evaluation. RESULTS: We included 11 studies examining 26 algorithms. Three studies from non-hospital/community settings examined sign-based checklists (n = 13). Eight hospital-based studies validated regression models (n = 13), which were administered as weighted scores (n = 8), regression formulas (n = 4), and a nomogram (n = 1). One checklist from India had a sensitivity of 98% (95% CI: 88%-100%) and specificity of 94% (93%-95%) for predicting sepsis-related deaths. However, external validation in Bangladesh showed very low sensitivity of 3% (0%-10%) with specificity of 99% (99%-99%) for all-cause mortality (ages 0-9 days). For hospital-based prediction models, area under the curve (AUC) ranged from 0.76-0.93 (n = 13). The Score for Essential Neonatal Symptoms and Signs had an AUC of 0.89 (0.84-0.93) in the derivation cohort for mortality, and external validation showed an AUC of 0.83 (0.83-0.84). LIMITATIONS: Heterogeneity of algorithms and lack of external validation limited the evidence. CONCLUSIONS: Clinical sign algorithms may help identify at-risk young infants, particularly in hospital settings; however, overall certainty of evidence is low with limited external validation.

Differentiating mortality risk of individual infants and children to improve survival: opportunity for impact.

Children are not born equal in their likelihood of survival. The risk of mortality is highest during and shortly after birth. In the immediate postnatal period and beyond, perinatal events, nutrition, infections, family and environmental exposures, and health services largely determine the risk of death. We argue that current public health programmes do not fully acknowledge this spectrum of risk or respond accordingly. As a result, opportunities to improve the care, survival, and development of children in resource-poor settings are overlooked. Children at high risk of mortality are underidentified and commonly treated using guidelines that do not differentiate care according to the magnitude or drivers of those risks. Children at low risk of mortality are often provided with more intensive care than needed, disproportionately using limited health-care resources with minimal or no benefits. Declines in newborn, infant, and child mortality rates globally are slowing, and further reductions are likely to be incrementally more difficult to achieve once simple, high impact interventions have been universally implemented. Currently, 63 countries have rates of neonatal mortality that are off track to meet the Sustainable Development Goal 2030 target of 12 deaths per 1000 livebirths or less, and 54 countries have rates of mortality in children younger than 5 years that are off track to meet the target of 25 deaths per 1000 livebirths or less. If these targets are to be met, a change of approach is needed to address infant and child mortality and for health-care systems to more efficiently address residual mortality.

Increasing the number of midwives is necessary but not sufficient: using global data to support the case for investment in both midwife availability and the enabling work environment in low- and middle-income countries.

BACKGROUND: Most countries are off-track to achieve global maternal and newborn health goals. Global stakeholders agree that investment in midwifery is an important element of the solution. During a global shortage of health workers, strategic decisions must be made about how to configure services to achieve the best possible outcomes with the available resources. This paper aims to assess the relationship between the strength of low- and middle-income countries' (LMICs') midwifery profession and key maternal and newborn health outcomes, and thus to prompt policy dialogue about service configuration. METHODS: Using the most recent available data from publicly available global databases for the period 2000-2020, we conducted an ecological study to examine the association between the number of midwives per 10,000 population and: (i) maternal mortality, (ii) neonatal mortality, and (iii) caesarean birth rate in LMICs. We developed a composite measure of the strength of the midwifery profession, and examined its relationship with maternal mortality. RESULTS: In LMICs (especially low-income countries), higher availability of midwives is associated with lower maternal and neonatal mortality. In upper-middle-income countries, higher availability of midwives is associated with caesarean birth rates close to 10-15%. However, some countries achieved good outcomes without increasing midwife availability, and some have increased midwife availability and not achieved good outcomes. Similarly, while stronger midwifery service structures are associated with greater reductions in maternal mortality, this is not true in every country. CONCLUSIONS: A complex web of health system factors and social determinants contribute to maternal and newborn health outcomes, but there is enough evidence from this and other studies to indicate that midwives can be a highly cost-effective element of national strategies to improve these outcomes.

The influence of parental occupational status on under-five mortality in Ethiopia.

Few studies have examined the mediators of the association between parental occupational status and under-five mortality risk in Ethiopia. We examine the association between parental occupational status and under-five mortality risk in Ethiopia and the role of two mediating variables, antenatal care visits and delivery by a health professional, in this relationship. Using birth data from the nationally representative 2016 Ethiopia Demographic and Health Survey, the study finds that parental occupation, antenatal care visits, and delivery by a health professional are associated with under-five mortality risk. The study also finds that after controlling for mediating variables, parents engaged in professional, agricultural, and manual labor still have lower odds of under-five mortality risk than children of non-working parents. Future research should focus on the pathway from parental employment to child mortality risk, not through access to antenatal care and delivery by health professionals.

Mass Incarceration, Maternal Vulnerability, and Birth Outcomes Across U.S. Counties.

OBJECTIVES: To examine the associations among mass incarceration, maternal vulnerability, and disparities in birth outcomes across U.S. counties, utilizing an ecological model and reproductive justice perspective was used. This study tests whether mass incarceration is associated with infant mortality and low birthweight across U.S. counties, and whether maternal vulnerability explains the relationship between mass incarceration and birth disparities. METHODS: Data were derived from a variety of public sources and were merged using federal FIPS codes. Outcomes from the CDC Vitality Statistics include percent low birth weight births (births below 2499 g divided by singleton births to women aged 20 to 39) and infant mortality (infant deaths per 1000 live births). Black-White rate ratios were calculated for the birth outcomes to specifically examine the large Black-White disparity in birth outcomes. The analysis controlled for urbanicity, income inequality, median household income, residential segregation, and southern region, as well as a fixed effect for state level differences. RESULTS: Findings show that counties with higher rates of incarceration have higher prevalence of infant mortality and low birthweight, as well as greater Black-White disparity in infant mortality. Mass incarceration is associated with increases in adverse birth outcomes and maternal vulnerability partially mediates this relationship. CONCLUSIONS: Findings provide evidence that heightened levels of incarceration affect birth outcomes for all residents at the county-level. It is imperative to address the overuse of mass incarceration in order to support adequate reproductive healthcare of vulnerable populations in the United States.

Intergenerational Clustering of Under-Five Mortality: A Cohort Perspective in Low- and Middle-Income Countries.

A burgeoning demographic literature documents the exceedingly high rates at which contemporary cohorts of women across the Global South experience the death of their children-even amid historic declines in child mortality. Yet, the patterning of maternal bereavement remains underinvestigated, as does the extent to which it replicates across generations of the same family. To that end, we ask: Are the surviving daughters of bereaved mothers more likely to eventually experience maternal bereavement? How does the intergenerational clustering of maternal bereavement vary across countries and cohorts? To answer these questions, we make use of Demographic and Health Survey Program data from 50 low- and middle-income countries, encompassing data on 1.05 million women and their mothers spanning three decadal birth cohorts. Descriptive results demonstrate that maternal bereavement is increasingly patterned intergenerationally across cohorts, with most women experiencing the same fate as their mothers. Multivariable hazard models further show that, on average, women whose mothers were maternally bereaved have significantly increased odds of losing a child themselves. In most countries, the association is stable across cohorts; however, in select countries, the risk associated with having a bereaved mother is shrinking among more recent birth cohorts.

Adverse Infant Health Outcomes Increased After the 2016 U.S. Presidential Election Among Non-White U.S.-born and Foreign-born Mothers.

Macro-level events such as elections can improve or harm population health across existing axes of stratification through policy changes and signals of inclusion or threat. This study investigates whether rates of, and disparities in, adverse birth outcomes between racialized and nativity groups changed after Donald Trump's November 2016 election, a period characterized by increases in xenophobic and racist messages, policies, and actions in the United States. Using data from 15,568,710 U.S. births between November 2012 and November 2018, we find that adverse birth outcomes increased after Trump's election among U.S.- and foreign-born mothers racialized as Black, Hispanic, and Asian and Pacific Islander (API), compared with the period encompassing the two Obama presidencies. Results for Whites suggest no change or a slight decrease in adverse outcomes following Trump's election, yet this finding was not robust to checks for seasonality. Black-White, Hispanic-White, and API-White disparities in adverse birth outcomes widened among both U.S.- and foreign-born mothers after Trump's election. Our findings suggest that Trump's election was a racist and xenophobic macro-level political event that undermined the health of infants born to non-White mothers in the United States.

Incidence and Predictors of Mortality Among Preterm Neonates Admitted to Jimma University Medical Center, Southwest Ethiopia: a Retrospective Follow-Up Study.

Objective: This study aimed to assess incidence and predictors of mortality among preterm neonates in Jimma University Medical Center, Southwest Ethiopia. Methods: A retrospective follow-up study was conducted among 505 preterm neonates admitted to the Neonatal Intensive Care Unit of Jimma University Medical Center from 01 January 2017, to 30 December 2019. Data were collected from medical records using a data collection checklist. Data were entered into Epi-Data 3.1 and analyzed with STATA 15. Cox-regression analysis was fitted to identify predictors of preterm neonatal mortality. Variables with p-value <0.05 were declared a statistical significance. Result: The cumulative incidence of preterm neonatal death was 25.1%. The neonatal mortality rate was 28.9 deaths (95%CI: 24.33, 34.46) per 1,000 neonate-days. Obstetric complications, respiratory distress syndrome, neonatal sepsis, perinatal asphyxia, antenatal steroid exposure, gestational age at birth, and receiving kangaroo-mother care were predictors of preterm neonatal mortality. Conclusion: Preterm neonatal mortality rate was high. Hence, early detection and management of obstetric and neonatal complications, use of antenatal steroids, and kangaroo-mother care should be strengthened to increase preterm neonatal survival.

State of South Dakota's Child: 2023.

In 2022, there was a decrease in births in the state with 111 fewer resident newborns than in the previous year. This represented a decrease of 1% of its white and 3.5% of its AIBO (American Indian, Black and Other) births. The 2022 birth rate per 1,000 population for the state (12.3) is higher than observed nationally (10.9) but matches its 2020 rate that was an historic low. Approximately 22% of all births in 2022 were AIBO and this percent of the state's entire birth cohort has decreased in the past several years. The American Indian contribution to the AIBO cohort has also decreased as its racial diversity has increased. The percent of births that are low birth weight has consistently been lower in South Dakota than nationally. An increase of 16 infant deaths in 2022 from 2021 and the decreased number of births led to an increase in the infant mortality rate (IMR = deaths in first year of life per 1,000 live births) from 6.3 to 7.8, but this 2022 IMR is not statistically significantly higher than its previous five-year mean. Further, the 2022 increase in the IMR was almost entirely among white infants with the post neonatal mortality rate (PNMR = deaths between 28 and 365 days of life) decreasing between these two years for AIBO infants. Nonetheless, the state's five year mean rates of death (2018-2022) are significantly higher for the AIBO than white infants for the neonatal (0-27 days) and post neonatal periods of the first year of life. Recently, however, the ratio of AIBO to white post neonatal mortality rate (PNMR) has decreased, but increased for the neonatal mortality rate (NMR). Infants in South Dakota are significantly more likely between 2018 and 2022 to die of congenital anomalies, sudden unexpected infant death (SUID), and accidents/homicides than in the United States in 2021. SUID remains the leading cause of post neonatal death and its risk may be decreased when babies are placed to sleep supine and alone in environments that are devoid of soft hazards.

Temperature-related neonatal deaths attributable to climate change in 29 low- and middle-income countries.

Exposure to high and low ambient temperatures increases the risk of neonatal mortality, but the contribution of climate change to temperature-related neonatal deaths is unknown. We use Demographic and Health Survey (DHS) data (n = 40,073) from 29 low- and middle-income countries to estimate the temperature-related burden of neonatal deaths between 2001 and 2019 that is attributable to climate change. We find that across all countries, 4.3% of neonatal deaths were associated with non-optimal temperatures. Climate change was responsible for 32% (range: 19-79%) of heat-related neonatal deaths, while reducing the respective cold-related burden by 30% (range: 10-63%). Climate change has impacted temperature-related neonatal deaths in all study countries, with most pronounced climate-induced losses from increased heat and gains from decreased cold observed in countries in sub-Saharan Africa. Future increases in global mean temperatures are expected to exacerbate the heat-related burden, which calls for ambitious mitigation and adaptation measures to safeguard the health of newborns.

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.

The global burden of disease attributable to preterm birth and low birth weight in 204 countries and territories from 1990 to 2019: An analysis of the Global Burden of Disease Study.

Background: Preterm birth and low birth weight (PBLBW), recognised globally as primary contributors to infant mortality in children under five, have not been sufficiently investigated in terms of their worldwide impact. In this study we aimed to thoroughly evaluate the contemporary trends in disease burden attributable to PBLBW. Methods: We analysed data from 204 countries and territories between 1990-2019, as sourced from the 2019 Global Burden of Disease Study. We analysed the global incidence of mortality and disability-adjusted life years (DALYs) associated with PBLBW, stratified by age, gender, year, and geographic location, alongside the socio-demographic index (SDI). We calculated the annual percentage changes to evaluate the dynamic trends over time. We employed a generalised linear model and scrutinised the relationship between the SDI and the disease burden attributed to PBLBW. Results: In 2019, the global age-standardised rate of deaths and DALYs related to PBLBW showed significant declines. Over the period 1990-2019, both death and DALY rates displayed substantial downward trends, with similar change trends observed for both females and males. Age-specific ratios revealed a decrease in PBLBW-related deaths and DALYs with increasing age, primarily during the neonatal stages (zero to 27 days). The leading three causes of PBLBW-related DALYs in 2019 were neonatal disorders, lower respiratory infections, and sudden infant death syndrome. Furthermore, the association between SDI and PBLBW-related DALYs indicated that the age-standardised DALY rates in 204 countries and territories worldwide were negatively correlated with SDI in 2019. From 1990 to 2019, the age-standardised DALY rates decreased linearly in most regions, except sub-Saharan Africa. Conclusions: The persistent global burden of disease associated with PBLBW is particularly pronounced in neonates aged less than 28 days and in regions with low SDI. In this study, we highlighted the critical need for tailored interventions aimed at mitigating the detrimental effects of PBLBW to attain specific sustainable development goals, particularly those centred on enhancing child survival and overall well-being.