Azithromycin during Routine Well-Infant Visits to Prevent Death.

BACKGROUND: Mass distribution of azithromycin to children 1 to 59 months of age has been shown to reduce childhood all-cause mortality in some sub-Saharan African regions, with the largest reduction seen among infants younger than 12 months of age. Whether the administration of azithromycin at routine health care visits for infants would be effective in preventing death is unclear. METHODS: We conducted a randomized, placebo-controlled trial of a single dose of azithromycin (20 mg per kilogram of body weight) as compared with placebo, administered during infancy (5 to 12 weeks of age). The primary end point was death before 6 months of age. Infants were recruited at routine vaccination or other well-child visits in clinics and through community outreach in three regions of Burkina Faso. Vital status was assessed at 6 months of age. RESULTS: Of the 32,877 infants enrolled from September 2019 through October 2022, a total of 16,416 infants were randomly assigned to azithromycin and 16,461 to placebo. Eighty-two infants in the azithromycin group and 75 infants in the placebo group died before 6 months of age (hazard ratio, 1.09; 95% confidence interval [CI], 0.80 to 1.49; P = 0.58); the absolute difference in mortality was 0.04 percentage points (95% CI, -0.10 to 0.21). There was no evidence of an effect of azithromycin on mortality in any of the prespecified subgroups, including subgroups defined according to age, sex, and baseline weight, and no evidence of a difference between the two trial groups in the incidence of adverse events. CONCLUSIONS: In this trial conducted in Burkina Faso, we found that administration of azithromycin to infants through the existing health care system did not prevent death. (Funded by the Bill and Melinda Gates Foundation; CHAT ClinicalTrials.gov number, NCT03676764.).

National Trends in Preterm Infant Mortality in the United States by Race and Socioeconomic Status, 1995-2020.

Importance: Inequalities in preterm infant mortality exist between population subgroups within the United States. Objective: To characterize trends in preterm infant mortality by maternal race and socioeconomic status to assess how inequalities in preterm mortality rates have changed over time. Design, Setting, and Participants: This was a retrospective longitudinal descriptive study using the US National Center for Health Statistics birth infant/death data set for 12 256 303 preterm infant births over 26 years, between 1995 and 2020. Data were analyzed from December 2022 to March 2023. Exposures: Maternal characteristics including race, smoking status, educational attainment, antenatal care, and insurance status were used as reported on an infant's US birth certificate. Main Outcomes and Measures: Preterm infant mortality rate was calculated for each year from 1995 to 2020 for all subgroups, with a trend regression coefficient calculated to describe the rate of change in preterm mortality. Results: The average US preterm infant mortality rate (IMR) decreased from 33.71 (95% CI, 33.71 to 34.04) per 1000 preterm births per year between 1995-1997, to 23.32 (95% CI, 23.05 to 23.58) between 2018-2020. Black non-Hispanic infants were more likely to die following preterm births than White non-Hispanic infants (IMR, 31.09; 95% CI, 30.44 to 31.74, vs 21.81; 95% CI, 21.43 to 22.18, in 2018-2020); however, once born, extremely prematurely Black and Hispanic infants had a narrow survival advantage (IMR rate ratio, 0.87; 95% CI, 0.84 to 0.91, in 2018-2020). The rate of decrease in preterm IMR was higher in Black infants (-0.015) than in White (-0.013) and Hispanic infants (-0.010); however, the relative risk of preterm IMR among Black infants compared with White infants remained the same between 1995-1997 vs 2018-2020 (relative risk, 1.40; 95% CI, 1.38 to 1.44, vs 1.43; 95% CI, 1.39 to 1.46). The rate of decrease in preterm IMR was higher in nonsmokers compared with smokers (-0.015 vs -0.010, respectively), in those with high levels of education compared with those with intermediate or low (-0.016 vs - 0.010 or -0.011, respectively), and in those who had received adequate antenatal care compared with those who did not (-0.014 vs -0.012 for intermediate and -0.013 for inadequate antenatal care). Over time, the relative risk of preterm mortality widened within each of these subgroups. Conclusions and Relevance: This study found that between 1995 and 2020, US preterm infant mortality improved among all categories of prematurity. Inequalities in preterm infant mortality based on maternal race and ethnicity have remained constant while socioeconomic disparities have widened over time.

Deaths: Final Data for 2020.

Objective-This report presents final 2020 data on U.S. deaths, death rates, life expectancy, infant and maternal mortality, and trends by selected characteristics such as age, sex, Hispanic origin and race, state of residence, and cause of death. Methods-Information reported on death certificates is presented in descriptive tabulations. The original records are filed in state registration offices. Statistical information is compiled in a national database through the Vital Statistics Cooperative Program of the National Center for Health Statistics. Causes of death are processed according to the International Classification of Diseases, 10th Revision. Beginning in 2018, all states and the District of Columbia were using the 2003 revised certificate of death for the entire year, which includes the 1997 Office of Management and Budget revised standards for race. Data based on these revised standards are not completely comparable to previous years. Results-In 2020, a total of 3,383,729 deaths were reported in the United States. The age-adjusted death rate was 835.4 deaths per 100,000 U.S. standard population, an increase of 16.8% from the 2019 rate. Life expectancy at birth was 77.0 years, a decrease of 1.8 years from 2019. Age-specific death rates increased from 2019 to 2020 for age groups 15 years and over and decreased for age group under 1 year. Many of the 15 leading causes of death in 2020 changed from 2019. COVID-19, a new cause of death in 2020, became the third leading cause in 2020. The infant mortality rate decreased 2.9% to a historic low of 5.42 infant deaths per 1,000 live births in 2020. Conclusions-In 2020, the age-adjusted death rate increased and life expectancy at birth decreased for the total, male, and female populations, primarily due to the influence of deaths from COVID-19.

Disparities in Neonatal Outcomes: Past, Present, and Our Future?

Neonatal outcomes and infant mortality rates have improved significantly in the past century. However, the disparities in outcomes linked to racial and ethnic variations have persisted and actually increased. Those differences in outcomes have been acknowledged for years as care providers strive to improve care for all of our most vulnerable and youngest individuals. Trends in neonatal outcomes are summarized.

Tendencias de mortalidad neonatal por regiones de Brasil, 2015-2019: un estudio ecológico / Tendência de mortalidade neonatal por regiões do Brasil, 2015-2019: um estudo ecológico / Neonatal mortality trends by region in Brazil, 2015-2019: an ecological study

Objetivo: Analizar la tendencia de la mortalidad neonatal en Brasil de 2015 a 2019 y sus causas prevenibles. Métodos: Estudio ecológico de series temporales con datos extraídos del Sistema de Información sobre Mortalidad y del Sistema de Información sobre Nacidos Vivos. Se calcularon las tasas de mortalidad neonatal general y por causas evitables. El análisis de tendencias se realizó mediante regresión de Prais-Winsten. Resultados: La tasa global de mortalidad neonatal se redujo de 8,78 en 2015 a 8,60 en 2019. Se observaron disparidades en las tasas de mortalidad neonatal entre regiones, con tasas más elevadas en las regiones septentrional (10,3/1.000) y nororiental (9,9/1.000). Predominaron las causas prevenibles mediante una atención adecuada al embarazo, el parto y los cuidados del recién nacido, que en conjunto sumaron el 97,8% de las muertes neonatales del periodo. Se observó una tendencia a la disminución de las causas prevenibles gracias a los cuidados adecuados del recién nacido (p < 0,001). Conclusión: Hubo una disminución en la tasa de mortalidad neonatal en Brasil de 2015 a 2019. (AU)

Aim: To analyze the trend of neonatal mortality in Brazil from 2015 to 2019 and its preventable causes. Methods: Ecological time-series study with data extracted from the Mortality Information System and Live Births Information System. Neonatal mortality rates were calculated overall and according to preventable causes. Trend analysis was performed by Prais-Winsten regression. Results: The overall neonatal mortality rate reduced from 8.78 in 2015 to 8.60 in 2019. Disparities in neonatal mortality rates were observed among regions, with higher rates in the northern (10.3/1,000) and northeastern (9.9/1,000) regions. The causes preventable by adequate care for pregnancy, delivery and neonatal care prevailed, together totaling 97.8% of neonatal deaths in the period. There was a decreasing trend in preventable causes due to adequate care of the newborn (p < 0.001). Conclusion: There was a decrease in the neonatal mortality rate in Brazil from 2015 to 2019. (AU)

Objetivo: Analisar a tendência de mortalidade neonatal no Brasil de 2015 a 2019 e suas causas evitáveis. Métodos: Estudo ecológico de série temporal com dados extraídos do Sistema de Informação sobre Mortalidade e Sistema de Informações sobre Nascidos Vivos. Foram calculadas as taxas de mortalidade neonatais geral e segundo causas evitáveis. A análise da tendência foi feita pela regressão de Prais-Winsten. Resultados: A taxa de mortalidade neonatal geral reduziu de 8,78 em 2015 para 8,60 em 2019. Foram observadas disparidades nas taxas de mortalidade neonatais entre as regiões, com maiores taxas nas regiões norte (10,3/1.000) e nordeste (9,9/1.000). As causas evitáveis por adequada atenção da gestação, parto e cuidado ao neonato prevaleceram, totalizando juntas 97,8% dos óbitos neonatais no período. Houve tendência decrescente nas causas evitáveis por adequada atenção ao recém-nascido (p < 0,001). Conclusão: Houve decréscimo na taxa de mortalidade neonatal no Brasil, de 2015 a 2019. (AU)

Time trend of infant mortality in Pernambuco, 2001-2019: a population-based ecological study / Tendência temporal da mortalidade infantil em Pernambuco, 2001-2019: um estudo ecológico de base populacional

Abstract Objectives: to analyze the temporal trend and spatial distribution of infant mortality in Pernambuco from 2001 to 2019. Methods: an ecological study involving all deaths in children under one year of age living in the state. Data were collected from the Mortality Information System and the Live Birth Information System. Four mortality rates were calculated and the temporal analysis was performed by applying the regression model by inflection points of the rates at different spatial levels. Results: 47,949 deaths were recorded, of which 51.0% (n=24,447) occurred in the first six days of life. A statistically significant downward trend was observed in all the rates analyzed (-4.5%/year in overall mortality, -3.6%/year in early neonatal mortality, -1.9%/year in the late neonatal component, and -6.3%/year in the post-neonatal component). Additionally, 64.3% of the municipalities (n=119) showed a declining trend in the overall infant mortality rate. Less than 50% of the municipalities showed a downward trend in early neonatal and late neonatal mortality (41.08%; n=76 and 43.2%; n=80, respectively). In post-neonatal mortality, 57.3% (n=106) showed decreasing trends. Conclusions: there was a temporal trend of decline in overall infant mortality, although there is an important portion of municipalities with a stationary trend, justifying the need to reduce social inequalities and geographical asymmetries.

Resumo Objetivos: analisar a tendência temporal e a distribuição espacial da mortalidade infantil em Pernambuco no período de 2001 a 2019. Métodos: estudo ecológico envolvendo todos os óbitos em crianças menores de um ano residentes no estado. Os dados foram coletados no Sistema de Informações sobre Mortalidade e no Sistema de Informação sobre Nascidos Vivos. Foram calculados quatro coeficientes de mortalidade e a análise temporal foi realizada aplicando o modelo de regressão por pontos de inflexão dos coeficientes em diferentes níveis espaciais. Resultados: foram registrados 47.949 óbitos, dos quais 51,0% (n=24.447) ocorreram nos seis primeiros dias de vida. Foi observada tendência de declínio estatisticamente significativo em todos os coeficientes analisados (-4,5%/ano na mortalidade geral, -3,6%/ano na neonatal precoce, -1,9%/ano no componente neonatal tardio e de -6,3%/ano no componente pós-neonatal). Adicionalmente, 64,3% dos municípios (n=119) apresentaram tendência de declínio no coeficiente de mortalidade infantil geral. Menos de 50% dos municípios apresentaram tendência de redução na mortalidade neonatal precoce e neonatal tardia (41,08%; n=76 e 43,2%; n=80, respectivamente). Na mortalidade pós-neonatal, 57,3% (n=106) apresentaram tendências decrescentes. Conclusões: houve tendência temporal de declínio da mortalidade infantil geral, embora haja importante parcela de municípios com tendência estacionária, justificando a necessidade de reduzir desigualdades sociais e assimetrias geográficas.

¿Cómo evolucionó la distribución de médicas y médicos especialistas en Argentina?: un análisis demográfico de la profesión médica al 2020 / How did the distribution of doctors and medical specialists evolve in Argentina?: a demographic analysis of the medical profession to 2020

Las políticas sobre trabajadores/as de salud deben garantizar su distribución adecuada. En Argentina dicha distribución es desigual, sobre todo en especialistas en atención primaria de la salud (APS). El objetivo de este trabajo fue describir la distribución de médicos/as, especialistas lineales y en APS en Argentina, durante el año 2020, teniendo en cuenta la situación económica y sanitaria de cada jurisdicción. Se trata de un trabajo descriptivo y analítico, que utilizó fuentes de datos primarias y secundarias. Se correlacionó la tasa de mortalidad infantil y el producto bruto per cápita de cada jurisdicción ordenándolas de mejores a peores indicadores. La tasa de médicos fue 3,88 médicos/as cada 1000 habitantes, 72% concentrándose en 4 jurisdicciones (Ciudad Autónoma de Buenos Aires, Provincia de Buenos Aires, Córdoba y Santa Fe). El 53% son especialistas y el 27,6% lo son en APS. CABA tuvo una tasa de 16,5 médicos/as por mil; Santiago del Estero y Formosa alcanzaron valores de 1,8 y 1,9 médicas/os por mil habitantes respectivamente. Con respecto a 2014, se observó disminución de especialistas en APS (-14,8%), registrándose las mayores pérdidas en Santiago del Estero, Formosa y Catamarca (-84,5%; -70,1% y -87,3%). La situación nacional sobre la distribución de médicos/as en Argentina desde 1954 a la actualidad fue empeorando en detrimento de las provincias con mayores necesidades. La baja adherencia al sistema de residencias a especialidades de APS pronostica un empeoramiento de la situación de no haber cambios estructurales. Será necesario un fortalecimiento del rol rector del estado en el abordaje de esta problemática (AU)

Policies on health workers must guarantee their adequate distribution. In Argentina, this distribution is unequal, particularly among primary care specialists (PHC).The objective of this article is to describe the distribution of physicians, PHC and non-PHC specialists in Argentina in 2020, considering the economic and health situation of each jurisdiction.We conducted a descriptive cross-sectional study with an analytical stage using primary and secondary data sources. The jurisdictions were classified according to the correlation between infant mortality rate and gross product per capita.The rate of physicians in Argentina in 2020 was 3.88 physicians per 1,000 inhabitants. 72% are concentrated in 4 jurisdictions (City of Buenos Aires, Province of Buenos Aires, Córdoba and Santa Fe). 53% are specialists and 27.6% are PHC specialists. The City of Buenos Aires has a rate of 16.5 physicians per thousand; and Santiago del Estero and Formosa reach values of 1.8 and 1.9 physicians per thousand inhabitants, respectively.There was a decrease in PHC specialists (-14.8%), with major losses recorded in Santiago del Estero, Formosa and Catamarca (-84.5%; -70.1% and -87.3%, respectively).The distribution of physicians in Argentina from 1954 to the present has worsened to the detriment of the provinces with the greatest needs. The lack of adheren-ce to the specialty of PHC predicts a worsening of the situation if there are no structural changes. It is necessary to strengthen the leading role of the state in addressing this problem (AU)

[Outcomes at discharge of preterm infants born <34 weeks' gestation].

Objective: To investigate the incidence and trend of short-term outcomes among preterm infants born <34 weeks' gestation. Methods: A secondary analysis of data from the standardized database established by a multicenter cluster-randomized controlled study "reduction of infection in neonatal intensive care units (NICU) using the evidence-based practice for improving quality (REIN-EPIQ) study". This study was conducted in 25 tertiary NICU. A total of 27 192 infants with gestational age <34 weeks at birth and admitted to NICU within the first 7 days of life from May 2015 to April 2018 were enrolled. Infants with severe congenital malformation were excluded. Descriptive analyses were used to describe the mortality and major morbidities of preterm infants by gestational age groups and different admission year groups. Cochran-Armitage test and Jonckheere-Terpstra test were used to analyze the trend of incidences of mortality and morbidities in 3 study-years. Multiple Logistic regression model was constructed to analyze the differences of outcomes in 3 study-years adjusting for confounders. Results: A total of 27 192 preterm infants were enrolled with gestational age of (31.3±2.0) weeks at birth and weight of (1 617±415) g at birth. Overall, 9.5% (2 594/27 192) of infants were discharged against medical advice, and the overall mortality rate was 10.7% (2 907/27 192). Mortality for infants who received complete care was 4.7% (1 147/24 598), and mortality or any major morbidity was 26.2% (6 452/24 598). The incidences of moderate to severe bronchopulmonary dysplasia, sepsis, severe intraventricular hemorrhage or periventricular leukomalacia, proven necrotizing enterocolitis, and severe retinopathy of prematurity were 16.0% (4 342/27 192), 11.9% (3 225/27 192), 6.8% (1 641/24 206), 3.6% (939/25 762) and 1.5% (214/13 868), respectively. There was a decreasing of the overall mortality (P<0.001) during the 3 years. Also, the incidences for sepsis and severe retinopathy of prematurity both decreased (both P<0.001). However, there were no significant differences in the major morbidity in preterm infants who received complete care during the 3-year study period (P=0.230). After adjusting for confounders, infants admitted during the third study year showed significantly lower risk of overall mortality (adjust OR=0.62, 95%CI 0.55-0.69, P<0.001), mortality or major morbidity, moderate to severe bronchopulmonary dysplasia, sepsis and severe retinopathy of prematurity, compared to those admitted in the first study year (all P<0.05). Conclusions: From 2015 to 2018, the mortality and major morbidities among preterm infants in Chinese NICU decreased, but there is still space for further efforts. Further targeted quality improvement is needed to improve the overall outcome of preterm infants.

Epidemiology of Infant Deaths in Predominant Tribal Areas of Two Districts of Gujarat: Results of Pregnancy and Mortality Surveillance Program.

OBJECTIVE: To understand epidemiology of the neonatal and infant deaths in predominant areas of two tribal districts of Gujarat. METHODS: A secondary analysis of pregnancy and mortality surveillance data was done to understand the causes and determinants of infant deaths in predominant tribal areas of two districts of Gujarat, India from 2015 to 2018. All pregnancies, their outcomes, and infant deaths were prospectively registered. A verbal autopsy tool was used to understand the cause of death. RESULT: A total of 25,130 live births were recorded; 20,994 (83.5%) deliveries occurred at the hospital. Total 1,309 infant deaths (IMR - 52.08/1,000 live births) and 879 neonatal deaths (NMR - 34.97/1,000 live births) occurred during the program duration. The odds of infant deaths was high among male child aOR - 1.5 (CI:1.3-1.7, p < 0.001), born to illiterate/primary educated mother aOR - 1.2 (1.03-1.4, 0.013), born at home or on the way aOR - 1.4 (1.1-1.8, 0.003), born with low birth weight (< 2.5 kg), aOR - 3.7 (3.2-4.3, < 0.001), born preterm (< 37 wk) aOR - 1.9 (1.7-2.2, < 0.001), and born twins aOR - 1.5 (1-2.1, 0.037) in comparison to female child, born to secondary/or above educated mother, born in hospital, born normal weight (>= 2.5 kg), born full-term (>= 37 wk), and born single, respectively. The asphyxia/respiratory distress syndrome (RDS) 282 (56%), sepsis/pneumonia and asphyxia/RDS 188 (63%), and sepsis/pneumonia 281 (65%) were leading cause of death among 0-3 d, 4-28 d, and 29-365 d infant deaths. CONCLUSION: There is a need to improve quality of intrapartum and postpartum care. Additionally, sepsis detection among infants and referral by community health workers also need to be improved to reduce infant mortality due to sepsis.

The impact of the SARS-CoV-2 epidemic on mortality in South Africa in 2020.

BACKGROUND: The impacts on mortality of both the SARS-CoV-2 epidemic and the interventions to manage it differ between countries. The Rapid Mortality Surveillance System set up by the South African Medical Research Council based on data from the National Population Register (NPR) provides a means of tracking this impact on mortality in South Africa. OBJECTIVES: To report on the change in key metrics of mortality (numbers of deaths, life expectancy at birth, life expectancy at age 60, and infant, under-5, older child and adolescent, young adult, and adult mortality) over the period 2015 - 2020. The key features of the impact are contrasted with those measured in other countries. METHODS: The numbers of registered deaths by age and sex recorded on the NPR were increased to account for both registered deaths that are not captured by the NPR and an estimate of deaths not reported. The estimated numbers of deaths together with estimates of the numbers in the population in the middle of each of the years were used to produce life tables and calculate various indicators. RESULTS: Between 2019 and 2020, the number of deaths increased by nearly 53 000 (65% female), and life expectancy at birth fell by 1 year for females and by only 2.5 months for males. Life expectancy at age 60 decreased by 1.6 years for females and 1.2 years for males. Infant mortality, under-5 mortality and mortality of children aged 5 - 14 decreased by 22%, 20% and 10%, respectively, while that for older children and adolescents decreased by 11% for males and 5% for females. Premature adult mortality, the probability of a 15-year-old dying before age 60, increased by 2% for males and 9% for females. CONCLUSIONS: COVID-19 and the interventions to manage it had differential impacts on mortality by age and sex. The impact of the epidemic on life expectancy in 2020 differs from that in most other, mainly developed, countries, both in the limited decline and also in the greater impact on females. These empirical estimates of life expectancy and mortality rates are not reflected by estimates from agencies, either because agency estimates have yet to be updated for the impact of the epidemic or because they have not allowed for the impact correctly. Trends in weekly excess deaths suggest that the drop in life expectancy in 2021 will be greater than that in 2020.

Disparities in use of skilled birth attendants and neonatal mortality rate in Guinea over two decades.

BACKGROUND: Maternal mortality remains high in sub-Saharan African countries, including Guinea. Skilled birth attendance (SBA) is one of the crucial interventions to avert preventable obstetric complications and related maternal deaths. However, within-country inequalities prevent a large proportion of women from receiving skilled birth attendance. Scarcity of evidence related to this exists in Guinea. Hence, this study investigated the magnitude and trends in socioeconomic and geographic-related inequalities in SBA in Guinea from 1999 to 2016 and neonatal mortality rate (NMR) between 1999 and 2012. METHODS: We derived data from three Guinea Demographic and Health Surveys (1999, 2005 and 2012) and one Guinea Multiple Indicator Cluster Survey (2016). For analysis, we used the 2019 updated WHO Health Equity Assessment Toolkit (HEAT). We analyzed inequalities in SBA and NMR using Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D) and Ratio (R). These summary measures were computed for four equity stratifiers: wealth, education, place of residence and subnational region. We computed 95% Uncertainty Intervals (UI) for each point estimate to show whether or not observed SBA inequalities and NMR are statistically significant and whether or not disparities changed significantly over time. RESULTS: A total of 14,402 for SBA and 39,348 participants for NMR were involved. Profound socioeconomic- and geographic-related inequalities in SBA were found favoring the rich (PAR = 33.27; 95% UI: 29.85-36.68), educated (PAR = 48.38; 95% UI: 46.49-50.28), urban residents (D = 47.03; 95% UI: 42.33-51.72) and regions such as Conakry (R = 3.16; 95% UI: 2.31-4.00). Moreover, wealth-driven (PAF = -21.4; 95% UI: -26.1, -16.7), education-related (PAR = -16.7; 95% UI: -19.2, -14.3), urban-rural (PAF = -11.3; 95% UI: -14.8, -7.9), subnational region (R = 2.0, 95% UI: 1.2, 2.9) and sex-based (D = 12.1, 95% UI; 3.2, 20.9) inequalities in NMR were observed between 1999 and 2012. Though the pattern of inequality in SBA varied based on summary measures, both socioeconomic and geographic-related inequalities decreased over time. CONCLUSIONS: Disproportionate inequalities in SBA and NMR exist among disadvantaged women such as the poor, uneducated, rural residents, and women from regions like Mamou region. Hence, empowering women through education and economic resources, as well as prioritizing SBA for these disadvantaged groups could be key steps toward ensuring equitable SBA, reduction of NMR and advancing the health equity agenda of "no one left behind."

La mortalidad infantil de la Ciudad de Buenos Aires: Años 2018/2020

Se presenta un análisis comparativo de la evolución de la mortalidad infantil en el período 1990/2020 según la variación de los componentes etarios de la mortalidad infantil y teniendo en cuenta la evolución según los criterios de reducibilidad asociados a la edad, causas de defunción, edad de la madre y las tasas de mortalidad por comuna para el trienio 2018-2020. Los datos del 2020 están afectados por la pandemia por COVID-19 que influyó en el normal desarrollo de la vida cotidiana de las personas y limitó sus desplazamientos por el Aislamiento Social, Preventivo y Obligatorio (ASPO) y además por su repercusión en el proceso de registro de los hechos vitales. (AU)

Coronavirus disease 2019 pandemic and pregnancy and neonatal outcomes in general population: A living systematic review and meta-analysis (updated Aug 14, 2021).

INTRODUCTION: Conflicting reports of increases and decreases in rates of preterm birth (PTB) and stillbirth in the general population during the coronavirus disease 2019 (COVID-19) pandemic have surfaced. The objective of our study was to conduct a living systematic review and meta-analyses of studies reporting pregnancy and neonatal outcomes by comparing the pandemic and pre-pandemic periods. MATERIAL AND METHODS: We searched PubMed and Embase databases, reference lists of articles published up until August 14, 2021 and included English language studies that compared outcomes between the COVID-19 pandemic time period and the pre-pandemic time periods. Risk of bias was assessed using the Newcastle-Ottawa scale. We conducted random-effects meta-analysis using the inverse variance method. RESULTS: Forty-five studies with low-to-moderate risk of bias, reporting on 1 843 665 pregnancies during the pandemic period and 23 564 552 pregnancies during the pre-pandemic period, were included. There was significant reduction in unadjusted estimates of PTB (35 studies, unadjusted odds ratio [uaOR] 0.95, 95% CI 0.92-0.98), but not in adjusted estimates (six studies, adjusted OR [aOR] 0.95, 95% CI 0.80-1.13). This reduction was noted in studies from single centers/health areas (25 studies, uaOR 0.90, 95% CI 0.86-0.96) but not in regional/national studies (10 studies, uaOR 0.99, 95% CI 0.95-1.02). There was reduction in spontaneous PTB (six studies, uaOR 0.89, 95% CI 0.81-0.96) and induced PTB (five studies, uaOR 0.89, 95% CI 0.81-0.97). There was no difference in the odds of stillbirth between the pandemic and pre-pandemic time periods (24 studies, uaOR 1.11, 95% CI 0.97-1.26 and four studies, aOR 1.06, 95% CI 0.81-1.38). There was an increase in mean birthweight during the pandemic period compared with the pre-pandemic period (six studies, mean difference 17 g, 95% CI 7-28 g). The odds of maternal mortality were increased (four studies, uaOR 1.15, 95% CI 1.05-1.26); however, only unadjusted estimates were available and the result was mostly influenced by one study from Mexico. There was significant publication bias for the outcome of PTB. CONCLUSIONS: The COVID-19 pandemic may be associated with a reduction in PTB; however, referral bias cannot be excluded. There was no statistically significant difference in stillbirth between pandemic and pre-pandemic periods.

Global, regional, and national causes of under-5 mortality in 2000-19: an updated systematic analysis with implications for the Sustainable Development Goals.

BACKGROUND: Causes of mortality are a crucial input for health systems for identifying appropriate interventions for child survival. We present an updated series of cause-specific mortality for neonates and children younger than 5 years from 2000 to 2019. METHODS: We updated cause-specific mortality estimates for neonates and children aged 1-59 months, stratified by level (low, moderate, or high) of mortality. We made a substantial change in the statistical methods used for previous estimates, transitioning to a Bayesian framework that includes a structure to account for unreported causes in verbal autopsy studies. We also used systematic covariate selection in the multinomial framework, gave more weight to nationally representative verbal autopsy studies using a random effects model, and included mortality due to tuberculosis. FINDINGS: In 2019, there were 5·30 million deaths (95% uncertainty range 4·92-5·68) among children younger than 5 years, primarily due to preterm birth complications (17·7%, 16·1-19·5), lower respiratory infections (13·9%, 12·0-15·1), intrapartum-related events (11·6%, 10·6-12·5), and diarrhoea (9·1%, 7·9-9·9), with 49·2% (47·3-51·9) due to infectious causes. Vaccine-preventable deaths, such as for lower respiratory infections, meningitis, and measles, constituted 21·7% (20·4-25·6) of under-5 deaths, and many other causes, such as diarrhoea, were preventable with low-cost interventions. Under-5 mortality has declined substantially since 2000, primarily because of a decrease in mortality due to lower respiratory infections, diarrhoea, preterm birth complications, intrapartum-related events, malaria, and measles. There is considerable variation in the extent and trends in cause-specific mortality across regions and for different strata of all-cause under-5 mortality. INTERPRETATION: Progress is needed to improve child health and end preventable deaths among children younger than 5 years. Countries should strategize how to reduce mortality among this age group using interventions that are relevant to their specific causes of death. FUNDING: Bill & Melinda Gates Foundation; WHO.

Women's experiences of maternal and newborn health care services and support systems in Buikwe District, Uganda: A qualitative study.

BACKGROUND: Uganda continues to have a high neonatal mortality rate, with 20 deaths per 1000 live births reported in 2018. A measure to reverse this trend is to fully implement the Uganda Clinical Guidelines on care for mothers and newborns during pregnancy, delivery and the postnatal period. This study aimed to describe women's experiences of maternal and newborn health care services and support systems, focusing on antenatal care, delivery and the postnatal period. METHODS: We used triangulation of qualitative methods including participant observations, semi-structured interviews with key informants and focus group discussions with mothers. Audio-recorded data were transcribed word by word in the local language and translated into English. All collected data material were stored using two-level password protection or stored in a locked cabinet. Malterud's Systematic text condensation was used for analysis, and NVivo software was used to structure the data. FINDINGS: Antenatal care was valued by mothers although not always accessible due to transport cost and distance. Mothers relied on professional health workers and traditional birth attendants for basic maternal services but expressed general discontentment with spousal support in maternal issues. Financial dependency, gender disparities, and lack of autonomy in decision making on maternal issues, prohibited women from receiving optimal help and support. Postnatal follow-ups were found unsatisfactory, with no scheduled follow-ups from professional health workers during the first six weeks. CONCLUSIONS: Further focus on gender equity, involving women's right to own decision making in maternity issues, higher recognition of male involvement in maternity care and improved postnatal follow-ups are suggestions to policy makers for improved maternal care and newborn health in Buikwe District, Uganda.

Why do women attend antenatal care but give birth at home? a qualitative study in a rural Ghanaian District.

BACKGROUND: The Sustainable Development Goal Three has prioritised reducing maternal, under-5 and neonatal mortalities as core global health policy objectives. The place, where expectant mothers choose to deliver their babies has a direct effect on maternal health outcomes. In sub-Saharan Africa, existing literature has shown that some women attend antenatal care during pregnancy but choose to deliver their babies at home. Using the Andersen and Newman Behavioural Model, this study explored the institutional and socio-cultural factors motivating women to deliver at home after attending antenatal care. METHODS: A qualitative, exploratory, cross-sectional design was deployed. Data were collected from a purposive sample of 23 women, who attended antenatal care during pregnancy but delivered their babies at home, 10 health workers and 17 other community-level stakeholders. The data were collected through semi-structured interviews, which were audio-recorded, transcribed and thematically analysed. RESULTS: In line with the Andersen and Newman Model, the study discovered that traditional and religious belief systems about marital fidelity and the role of the gods in childbirth, myths about consequences of facility-based delivery, illiteracy, and weak women's autonomy in healthcare decision-making, predisposed women to home delivery. Home delivery was also enabled by inadequate midwives at health facilities, the unfriendly attitude of health workers, hidden charges for facility-based delivery, and long distances to healthcare facilities. The fear of caesarean section, also created the need for women who attended antenatal care to deliver at home. CONCLUSION: The study has established that socio-cultural and institutional level factors influenced women's decisions to deliver at home. We recommend a general improvement in the service delivery capacity of health facilities, and the implementation of collaborative educational and women empowerment programmes by stakeholders, to strengthen women's autonomy and reshape existing traditional and religious beliefs facilitating home delivery.

Preterm neonatal mortality in China during 2009-2018: A retrospective study.

In this retrospective analysis, we aimed to analyze the epidemic characteristics of neonatal mortality due to preterm birth at 28-36 weeks gestation in different regions from 2009 to 2018. Data were obtained from China's Under-5 Child Mortality Surveillance System (U5CMSS). The χ2 trend test, Poisson regression and the Cochran-Mantel-Haenszel method were used in this study. We found that 51.3%, 42.0% and 44.5% of neonate deaths were preterm infants, and immaturity was mainly attributed to 60.1%, 64.1% and 69.5% of these deaths, in the eastern, central and western regions, respectively. The preterm neonatal mortality rate due to immaturity dropped from 149.2, 216.5 and 339.5 in 2009 to 47.4, 83.8 and 170.1 per 100 000 live births in 2018, giving an average annual decline rate of 12.1%, 11.6% and 6.3% in the eastern, central and western regions, respectively, during the studying period. The relative risk of preterm neonatal mortality due to immaturity were 1.3 and 2.3 for the central regions and western regions in 2009-2010, ascending to 2.2 and 3.9 in 2017-2018. The proportion of preterm neonatal deaths with a gestational age <32 weeks was highest among the eastern region. There were significantly more preterm neonatal infants who were not delivered at medical institutions in the western region than in the eastern and central regions. The preterm infant, especially with gestational age <32 weeks, should receive the most attention through enhanced policies and programs to improve child survival. Priority interventions should be region-specific, depending on the availability of economic and healthcare resources.

Association of Gestational Weight Gain With Infant Morbidity and Mortality in the United States.

Importance: The associations of gestational weight gain (GWG) with infant morbidity and mortality are unclear, and the existing recommendations for GWG have not been stratified by the severity of obesity. Objectives: To identify optimal GWG ranges associated with reduced risks of infant morbidity and mortality across maternal body mass index (BMI) categories. Design, Setting, and Participants: This retrospective cohort study used US nationwide, linked birth and infant death data between 2011 and 2015 to assess the associations of GWG in 2.0-kg groups with infant morbidity and mortality and identified optimal GWG ranges associated with reduced risks of both outcomes, using multivariable logistic regression models. Statistical analysis was performed from February 11 to October 14, 2021. Exposure: Gestational weight gain equivalent to 40 weeks. Main Outcomes and Measures: The 2 main outcomes were (1) significant morbidity of the newborn infant, defined as any presence of assisted ventilation, admission to the neonatal intensive care unit, surfactant therapy, antibiotic therapy, or seizures; and (2) infant mortality younger than 1 year of age (<1 hour, 1-23 hours, 1-6 days, 7-27 days, or 28-365 days after birth). Results: In this study of 15 759 945 mother-infant dyads, the mean (SD) age of the women was 28.1 (5.9) years. Women gained a mean (SD) of 14.1 (7.3) kg during pregnancy, and the mean (SD) GWG decreased with BMI categories (underweight, 15.7 [6.4] kg; normal weight, 15.4 [6.2] kg; overweight, 14.2 [7.4] kg; obesity class 1, 12.2 [8.0] kg; obesity class 2, 10.3 [8.4] kg; obesity class 3, 8.2 [9.2] kg; P < .001). A total of 8.8% of the newborns experienced significant morbidity, with the lowest prevalence among infants delivered by women in the normal weight BMI class (8.0%) and the highest among infants delivered by women with class 3 obesity (12.4%); 0.34% of infants died within 1 year of birth, with the lowest prevalence among infants delivered by women in the normal weight BMI class (0.28%) and the highest among infants delivered by women with class 3 obesity (0.58%). Optimal GWG ranges were 12.0 to less than 24.0 kg for underweight and normal weight women, 10.0 to less than 20.0 kg for overweight women, 8.0 to less than 16.0 kg for women with class 1 obesity, 6.0 to less than 16.0 kg for class 2 obesity, and 6.0 to less than 10.0 kg for class 3 obesity. The lower bounds of the optimal GWG ranges appeared to be higher than the existing recommendations for overweight women (10.0 vs 7.0 kg) and for those with class 1 (8.0 vs 5.0 kg), class 2 (6.0 vs 5.0 kg), and class 3 (6.0 vs 5.0 kg) obesity. Conclusions and Relevance: This study analyzed the associations of GWG with infant morbidity and mortality across BMI categories and found that inadequate GWG was associated with increased risks of adverse infant outcomes even for women with obesity. The results suggested that weight maintenance or weight loss should not be used as routine guidelines.