A Quality Improvement Bundle to Improve Outcomes in Extremely Preterm Infants in the First Week.

OBJECTIVES: Our objective with this quality improvement initiative was to reduce rates of severe intracranial hemorrhage (ICH) or death in the first week after birth among extremely preterm infants. METHODS: The quality improvement initiative was conducted from April 2014 to September 2020 at the University of Alabama at Birmingham's NICU. All actively treated inborn extremely preterm infants without congenital anomalies from 22 + 0/7 to 27 + 6/7 weeks' gestation with a birth weight ≥400 g were included. The primary outcome was severe ICH or death in the first 7 days after birth. Balancing measures included rates of acute kidney injury and spontaneous intestinal perforation. Outcome and process measure data were analyzed by using p-charts. RESULTS: We studied 820 infants with a mean gestational age of 25 + 3/7 weeks and median birth weight of 744 g. The rate of severe ICH or death in the first week after birth decreased from the baseline rate of 27.4% to 15.0%. The rate of severe ICH decreased from a baseline rate of 16.4% to 10.0%. Special cause variation in the rate of severe ICH or death in the first week after birth was observed corresponding with improvement in carbon dioxide and pH targeting, compliance with delayed cord clamping, and expanded use of indomethacin prophylaxis. CONCLUSIONS: Implementation of a bundle of evidence-based potentially better practices by using specific electronic order sets was associated with a lower rate of severe ICH or death in the first week among extremely preterm infants.

Management of monoamniotic twin pregnancies: Where, when, how?

Management difficulties for monochorionic monoamniotic (MCMA) twin pregnancy reflect the absence of high-quality research into optimal types of monitoring, essential as MCMA twins have a high risk of intrauterine and neonatal death with perinatal mortality. D'Antonio et al's meta-analysis and the MonoMono study published in 2019, investigated the impact of monitoring location, out- or in-patient, of MCMA pregnancies and concluded that no specific management location is associated with improvement in prognosis. To evaluate the optimal timing for delivery of MCMA pregnancies, Van Mieghem and Chitrit carried out retrospective studies comparing gestational age of intrauterine death and risk of neonatal complication. The crossover point between the propective risk of intrauterine fetal death and neonatal complication was found at 32,33 weeks of gestation (WG), in accordance with American College of Obstetricians and Gynecologists and Royal College of Obstetricians and Gynaecologists recommendations but inclusion of complicated pregnancies and analysis of fetuses individually may be regarded as a bias. The majority of studies of MCMA pregnancies focused on elective scheduled cesareans, with only rare retrospective studies reporting on vaginal delivery. Of these, two recent studies carried out by French teams suggest that vaginal deliveries may be as safe as cesarean births for MCMA twin pregnancies when specific criteria are met. In summary, concerning MCMA pregnancies, prognosis is not found to improve with inpatient management, optimal timing for delivery is at approximately 33 GW and vaginal delivery should not be excluded.

Stillbirth as left truncation for early neonatal death in California, 1989-2015: a time-series study.

BACKGROUND: Some scholars posit that attempts to avert stillbirth among extremely preterm gestations may result in a live birth but an early neonatal death. The literature, however, reports no empirical test of this potential form of left truncation. We examine whether annual cohorts delivered at extremely preterm gestational ages show an inverse correlation between their incidence of stillbirth and early neonatal death. METHODS: We retrieved live birth and infant death information from the California Linked Birth and Infant Death Cohort Files for years 1989 to 2015. We defined the extremely preterm period as delivery from 22 to < 28 weeks of gestation and early neonatal death as infant death at less than 7 days of life. We calculated proportions of stillbirth and early neonatal death separately by cohort year, race/ethnicity, and sex. Our correlational analysis controlled for well-documented declines in neonatal mortality over time. RESULTS: California reported 89,276 extremely preterm deliveries (live births and stillbirths) to Hispanic, non-Hispanic (NH) Black, and NH white mothers from 1989 to 2015. Findings indicate an inverse correlation between stillbirth and early neonatal death in the same cohort year (coefficient: -0.27, 95% CI of - 0.11; - 0.42). Results remain robust to alternative specifications and falsification tests. CONCLUSIONS: Findings support the notion that cohorts with an elevated risk of stillbirth also show a reduced risk of early neonatal death among extremely preterm deliveries. Results add to the evidence base that selection in utero may influence the survival characteristics of live-born cohorts.

Effect of PM2.5 pollution on perinatal mortality in China.

Using ArcGIS to analyze satellite derived PM2.5 estimates, this paper obtains the average concentration and maximum concentration of fine particulate matter (PM2.5) in China's 31 provinces from 2002 to 2015. We adopt fixed effects model and spatial Durbin model to investigate the association between PM2.5 and perinatal mortality rates. The results indicate that PM2.5 has a significantly positive association with perinatal mortality rates. A 1% increase of log-transformed average concentration and maximum concentrations of PM2.5 is associated with 1.76‰ and 2.31‰ increase of perinatal mortality rates, respectively. In spatial econometrics analysis, we find PM2.5 has significant spatial autocorrelation characteristics. The concentrations of log-transformed average and maximum PM2.5 increase 1% is associated with a 2.49% increase in a 2.49‰ and 2.19‰ increase of perinatal mortality rates, respectively. The potential mechanism is that air pollution has an impact on infant weight to impact perinatal mortality rates.

Cardiac Risk Score to Predict Small for Gestational Age Infants in Pregnant Women With Heart Disease.

BACKGROUND: One of the most common fetal complications in pregnant women with cardiovascular disease is a small for gestational age (SGA) neonate, which is associated with a higher risk of perinatal morbidity/mortality and poor long-term health outcomes. The objective of this study was to identify cardiac determinants and derive a risk score for clinically relevant SGA < 5th percentile (SGA-5th). METHODS: A prospective cohort of 1812 pregnancies in women with heart disease were studied. SGA-5th was the outcome of interest, defined as birth weight < 5th percentile for gestational age and sex. Multivariable logistic regression analysis was used to identify predictors for SGA-5th. Based on the regression coefficients, a weighted risk score was created. RESULTS: SGA-5th complicated 10% of pregnancies, 11 predictors of SGA-5th were identified, and each was assigned a weighted score: maternal cyanosis (8), Fontan palliation (7), smoking (3), moderate or severe valvular regurgitation (3), ß-blocker use throughout pregnancy (4) or only in the 2nd and 3rd trimesters (2), high baseline ß-blocker dose (4), body mass index < 18.5 kg/m2 (3) or 18.5-24.9 kg/m2 (1), Asian/other ethnicity (2), and significant outflow tract obstruction (1). In the absence of these identified risk factors, the risk of SGA-5th was approximately 4%. Pregnancies with risk scores of 1 had a rate of 5%; 2, 7%; 3, 9%; 4, 12%; 5, 14%; 6, 18%; 7, 23%; 8, 28%; and ≥ 9, 34%. CONCLUSIONS: There are a number of cardiac predictors that are associated with increased risk of SGA-5th. This is a prognostically important outcome, and consideration should be given to routinely predicting and modifying the risk whenever possible.

La mortalidad infantil de la Ciudad en el período 2017/2019

Se presenta un análisis comparativo de la evolución de la tasa trienal de mortalidad infantil. A los efectos de suavizar las oscilaciones anuales de la tasa puntual de mortalidad infantil se utilizan tasas promedio trienales. Se analiza el período 2015/2019 y su expresión a nivel de las comunas de la Ciudad y también se presentan las tasas puntuales de mortalidad infantil en el período 1990/2019 según la variación de los componentes etarios de la mortalidad infantil y los criterios de reducibilidad asociados a la edad, las causas de defunción y la edad de la madre. (AU)

Examining the role and relevance of the critical analysis and comparison of cesarean section rates in a changing world.

Cesarean section (CS) is one of the most commonly performed surgical operations in the world and has resulted in improved maternal and neonatal morbidity and mortality rates internationally. However, concerns have been raised regarding the ever increasing CS rates to what has been described as 'epidemic' proportions. Global CS rates have increased from 6.7% in 1990 to 19.1% in 2014. However, there is a vast variation in the CS rates between countries with CS rates of 44.3% reported across Latin America & the Caribbean and CS rates as low as 4.1% in central and West Africa. There is much controversy regarding the optimal figure for CS in a population. The optimal CS rates for a population have been recommend in various studies, ranging from 10% to 19%, above which no reported improvement in maternal and neonatal mortality rates is observed. This review examines the evolution of the changing indications for CS and increasing CS rates in a world where family sizes are reducing and maternal age at first pregnancy is increasing. Efforts must be made to agree on an appropriate classification system whereby CS rates can be compared accurately between units and countries as a useful tool to audit and monitor our practice. Obstetricians should consider the indications for each CS performed, be conscious of the CS rate in our own countries and institutions and most importantly, be cognizant of how the CS rate impacts the maternal and perinatal morbidity and mortality rates and adjust our practice accordingly, to minimize harm.

Shoulder Dystocia during Delivery and Long-Term Neurological Morbidity of the Offspring.

OBJECTIVE: The study aimed to evaluate risk factors and implications of shoulder dystocia (SD) on the neurological outcome of successfully delivered offspring. STUDY DESIGN: This is a cohort analysis including 207,571 deliveries. Risk factors for SD were evaluated using general estimation equation multivariable analyses. Offspring hospitalization incidence up to age 18 years due to neurological conditions was compared between both groups. Kaplan-Meyer curve was used to assess the cumulative hospitalization incidence. Cox proportional hazards model was used to control for confounders. RESULTS: SD complicated 0.2% (n = 353) of deliveries included in the study (n = 207,571). Risk factors for SD were fetal macrosomia, maternal diabetes mellitus, male gender, and advanced maternal age (p < 0.05 for all). Higher perinatal mortality was observed among SD cases (2.8 vs. 0.4%, p < 0.001). In most of the investigated neurological conditions no significant differences were found between the groups. Comparable rates of cumulative neurological-related hospitalization were observed (log rank p-value = 0.342) as well as lack of association between SD and neurological hospitalization (adjusted HR = 0.73; 95% CI 0.36-1.47; p = 0.381) when controlled for gestational age. CONCLUSION: Risk factors for SD are macrosomia, diabetes mellitus, male gender, and advanced maternal age. SD is not associated with long-term neurological morbidity of the offspring.

Temperament, socioeconomic adversity, and perinatal risk as related to preschoolers' BMI.

OBJECTIVE: Disparities in childhood obesity necessitate identification of risk-protective and risk- augmenting factors for young children experiencing socioeconomic adversity born with perinatal risk. Temperamental reactivity is a biological marker of susceptibility to environmental characteristics. This study tested whether temperamental reactivity moderated the relation between socioeconomic risk and children's body mass index (BMI). METHOD: This study examined 100 Head Start preschoolers (Mage = 4.07 years, SD = 0.56) with perinatal risk, defined as preterm birth (PT, <37 weeks gestation) or low birth weight (LBW, <2500g). Anthropometric measurements were collected from children and parents. Parents completed questionnaires on family level demographics and household food insecurity to create a cumulative socioeconomic risk variable. Parents also completed the Children's Behavior Questionnaire to assess preschoolers' temperamental reactivity. RESULTS: Results supported a differential susceptibility hypothesis such that preschoolers' temperamental reactivity significantly moderated the relation between socioeconomic risk and child BMI z-score (BMIz). Higher BMIz was observed in highly reactive children exposed to higher socioeconomic risk. Alternatively, lower exposure to socioeconomic risk was related to lower BMIz for highly reactive children. CONCLUSIONS: Findings suggest that highly reactive PT/LBW preschoolers are differentially susceptible to early socioeconomic adversity in a for better or for worse manner regarding BMIz. Thus, consideration of temperament as a marker of biological sensitivity to context may be necessary to inform obesity prevention for PT/LBW preschoolers from low-income families. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Analysis of the difference in the perinatal mortality rate between white-collar and blue-collar workers in Japan, 1995-2015.

OBJECTIVES: This study investigated differences in the perinatal mortality rate between white-collar and blue-collar workers. METHODS: Data from the "Report of Vital Statistics: Occupational and Industrial Aspects" in Japan covering the period from 1995 to 2015 were used. Five-year maternal age groups from 15-19 years to 45-49 years were analyzed according to work type, and the perinatal mortality rate for each age group and the age-standardized perinatal mortality rate according to maternal age were calculated in each analyzed year. A Bayesian age-period-cohort analysis was used to estimate age, period, and cohort effects for the perinatal mortality rate according to work type. Moreover, the perinatal mortality rate ratios between types of workers were estimated for each age group, period, and cohort. RESULTS: The estimated perinatal mortality rate ratios of blue-collar to white-collar workers were above 1 in most of the age groups and cohorts. The age effect for the perinatal mortality rate among white-collar workers was the largest in the 15-year to 19-year age group, whereas that among blue-collar workers was the largest in the 45-year to 49-year age group. Furthermore, the estimated perinatal rate ratio between white-collar and blue-collar workers tended to increase with maternal age. The magnitude of the decrease of the cohort effects on the perinatal mortality rate was rather larger in blue-collar workers in the cohorts born between 1946-1950 and 1996-2000. CONCLUSIONS: The magnitude of the disparity markedly increased with maternal age. Thus, middle-aged blue-collar workers need more prenatal care and preventive measures for perinatal mortality than white-collar workers.

Spatial pattern of perinatal mortality and its determinants in Ethiopia: Data from Ethiopian Demographic and Health Survey 2016.

BACKGROUND: The perinatal mortality rate in Ethiopia is among the highest in Sub Saharan Africa. The aim of this study was to identify the spatial patterns and determinants of perinatal mortality in the country using a national representative 2016 Ethiopia Demographic and Health Survey (EDHS) data. METHODS: The analysis was completed utilizing data from 2016 Ethiopian Demographic and Health Survey. This data captured the information of 5 years preceding the survey period. A total of 7230 women who at delivered at seven or more months gestational age nested within 622 enumeration areas (EAs) were used. Statistical analysis was performed by using STATA version 14.1, by considering the hierarchical nature of the data. Multilevel logistic regression models were fitted to identify community and individual-level factors associated with perinatal mortality. ArcGIS version 10.1 was used for spatial analysis. Moran's, I statistics fitted to identify global autocorrelation and local autocorrelation was identified using SatSCan version 9.6. RESULTS: The spatial distribution of perinatal mortality in Ethiopia revealed a clustering pattern. The global Moran's I value was 0.047 with p-value <0.001. Perinatal mortality was positively associated with the maternal age, being from rural residence, history of terminating a pregnancy, and place of delivery, while negatively associated with partners' educational level, higher wealth index, longer birth interval, female being head of household and the number of antenatal care (ANC) follow up. CONCLUSIONS: In Ethiopia, the perinatal mortality is high and had spatial variations across the country. Strengthening partner's education, family planning for longer birth interval, ANC, and delivery services are essential to reduce perinatal mortality and achieve sustainable development goals in Ethiopia. Disparities in perinatal mortality rates should be addressed alongside efforts to address inequities in maternal and neonatal healthcare services all over the country.

Health of Newborns and Infants Born to Women With Disabilities: A Meta-analysis.

CONTEXT: Women with disabilities are at elevated risk for pregnancy, delivery, and postpartum complications. However, there has not been a synthesis of literature on the neonatal and infant health outcomes of their offspring. OBJECTIVE: We examined the association between maternal disability and risk for adverse neonatal and infant health outcomes. DATA SOURCES: Cumulative Index to Nursing and Allied Health Literature, Embase, Medline, and PsycINFO were searched from database inception to January 2020. STUDY SELECTION: Studies were included if they reported original data on the association between maternal physical, sensory, or intellectual and/or developmental disabilities and neonatal or infant health outcomes; had a referent group of women with no disabilities; were peer-reviewed journal articles or theses; and were written in English. DATA EXTRACTION: We used standardized instruments to extract data and assess study quality. DerSimonian and Laird random effects models were used for pooled analyses. RESULTS: Thirty-one studies, representing 20 distinct cohorts, met our inclusion criteria. Meta-analyses revealed that newborns of women with physical, sensory, and intellectual and/or developmental disabilities were at elevated risk for low birth weight and preterm birth, with smaller numbers of studies revealing elevated risk for other adverse neonatal and infant outcomes. LIMITATIONS: Most studies had moderate (n = 9) or weak quality (n = 17), with lack of control for confounding a common limitation. CONCLUSIONS: In future work, researchers should explore the roles of tailored preconception and perinatal care, along with family-centered pediatric care particularly in the newborn period, in mitigating adverse outcomes among offspring of women with disabilities.

Predictive Modeling for Perinatal Mortality in Resource-Limited Settings.

Importance: The overwhelming majority of fetal and neonatal deaths occur in low- and middle-income countries. Fetal and neonatal risk assessment tools may be useful to predict the risk of death. Objective: To develop risk prediction models for intrapartum stillbirth and neonatal death. Design, Setting, and Participants: This cohort study used data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Global Network for Women's and Children's Health Research population-based vital registry, including clinical sites in South Asia (India and Pakistan), Africa (Democratic Republic of Congo, Zambia, and Kenya), and Latin America (Guatemala). A total of 502 648 pregnancies were prospectively enrolled in the registry. Exposures: Risk factors were added sequentially into the data set in 4 scenarios: (1) prenatal, (2) predelivery, (3) delivery and day 1, and (4) postdelivery through day 2. Main Outcomes and Measures: Data sets were randomly divided into 10 groups of 3 analysis data sets including training (60%), test (20%), and validation (20%). Conventional and advanced machine learning modeling techniques were applied to assess predictive abilities using area under the curve (AUC) for intrapartum stillbirth and neonatal mortality. Results: All prenatal and predelivery models had predictive accuracy for both intrapartum stillbirth and neonatal mortality with AUC values 0.71 or less. Five of 6 models for neonatal mortality based on delivery/day 1 and postdelivery/day 2 had increased predictive accuracy with AUC values greater than 0.80. Birth weight was the most important predictor for neonatal death in both postdelivery scenarios with independent predictive ability with AUC values of 0.78 and 0.76, respectively. The addition of 4 other top predictors increased AUC to 0.83 and 0.87 for the postdelivery scenarios, respectively. Conclusions and Relevance: Models based on prenatal or predelivery data had predictive accuracy for intrapartum stillbirths and neonatal mortality of AUC values 0.71 or less. Models that incorporated delivery data had good predictive accuracy for risk of neonatal mortality. Birth weight was the most important predictor for neonatal mortality.

The 2016 presidential election and periviable births among Latina women.

OBJECTIVE: Research suggests that sociopolitical stressors connected with the 2016 presidential election were associated with increases in preterm birth among Latina women. This study determined whether periviable births (<26 weeks gestation), which exhibit extremely high rates of infant morbidity and mortality, among US Latina women increased above expected levels after the 2016 US presidential election. METHODS: We assigned singleton live births among Latina and non-Latina white women in the US to 96 monthly conception cohorts conceived from January 2009 through December 2016. We constructed risk ratios by dividing the rate of periviable birth among Latina women by the rate among non-Latina white women. We used time-series methods to determine if the risk ratio of periviable births in cohorts conceived by Latina women and exposed to the election of 2016 exceeded those expected from autocorrelation and calendar effects. RESULTS: We found an outlying sequence of risk ratios among Latina women starting with the cohort conceived in April and ending with that conceived in November 2016. Increases in the ratios ranged from 0.07 above an expected of 1.61 for the cohort conceived in June, to 0.39 above an expected of 1.27 for the cohort conceived in April. CONCLUSION: We find that pregnancies in gestation at the time of the 2016 election among Latina women yielded more than expected periviable births. These findings support the argument that the prospect of anti-immigrant policies promised by the Trump campaign sufficiently stressed Latina women to affect the timing of birth.

Increased perinatal survival and improved ventilation skills over a five-year period: An observational study.

BACKGROUND AND AIM: The Helping Babies Breathe program gave major reductions in perinatal mortality in Tanzania from 2009 to 2012. We aimed to study whether this effect was sustained, and whether resuscitation skills changed with continued frequent training. METHODS: We analysed prospective data covering all births (n = 19,571) at Haydom Lutheran Hospital in Tanzania from July 2013 -June 2018. Resuscitation training was continued during this period. All deliveries were monitored by an observer recording the timing of events and resuscitation interventions. Heart rate was recorded by dry-electrode ECG and bag-mask-ventilation by sensors attached to the resuscitator device. We analyzed changes over time in outcomes, use of resuscitation interventions and performance of resuscitation using binary regression models with the log-link function to obtain adjusted relative risks. RESULTS: With introduction of user fees for deliveries since 2014, the number of deliveries decreased by 30% from start to the end of the five-year period. An increase in low heart rate at birth and need for bag-mask-ventilation indicate a gradual selection of more vulnerable newborns delivered in the hospital over time. Despite this selection, newborn deaths <24 hours did not change significantly and was maintained at an average of 8.8/1000 live births. The annual reductions in relative risk for perinatal death adjusted for vulnerability factors was 0.84 (95%CI 0.76-0.94). During the five-year period, longer duration of bag-mask ventilation sequences without interruption was observed. Delivered tidal volumes were increased and mask leak was decreased during ventilation. The time to initiation or total duration of ventilation did not change significantly. CONCLUSION: The reduction in 24-hour newborn mortality after introduction of Helping Babies Breathe was maintained, and a further decrease over the five-year period was evident when analyses were adjusted for vulnerability of the newborns. Perinatal survival and performance of ventilation were significantly improved.

How Does Deprivation Affect Early-Age Mortality? Patterns of Socioeconomic Determinants of Neonatal and Postneonatal Mortality in Bolivia.

Three mechanisms related to household living standards might affect early-age mortality: the absolute level of deprivation, its level relative to the average of the community, and the inequality in the distribution of deprivation within communities. A large body of literature has explored the effect of the absolute level of deprivation, but little research has examined the association between relative deprivation and early-age mortality, and findings related to deprivation inequality are inconsistent. Using 2008 Bolivian Demographic and Health Survey data, this study explores patterns of association between the three factors and mortality occurring in the neonatal and postneonatal periods. Because household-level deprivation might capture some unmeasured characteristics at the community level, such as area-specific investments, this study decomposes household-level deprivation into its between- and within-community components. The results show that after possible confounders are controlled for, community-level absolute deprivation is a significant predictor of neonatal and postneonatal mortality. Relative deprivation and deprivation inequality are not associated with early-age mortality. These findings are specific to a context of widespread deprivation and low inequality within communities; the role of the distribution of deprivation might be more important in countries in which basic needs are met within a bigger proportion of the population. This study helps identify crucial sectors of development related to living standards and deprivation inequality in order to tackle neonatal and postneonatal mortality.

Neonatal mortality rates and association with antenatal corticosteroids at Kamuzu Central Hospital.

OBJECTIVE: Malawi has one of the highest child mortality rates in the world, and neonates account for nearly half of all under-five mortality. No previous study has reported neonatal outcomes in Malawi over 12 months. We aimed to evaluate outcomes in the neonatal intensive care unit (NICU) at Kamuzu Central Hospital (KCH) and to determine if there was an association between increased survival and antenatal corticosteroid (ACS) exposure. STUDY DESIGN: We introduced a prospective, observational electronic database to collect 122 de-identified variables related to neonatal outcomes for all neonates admitted to the KCH NICU over 12 months. Patients with congenital anomalies were excluded. We compared neonatal mortality rates in neonates who were exposed to ACS compared to those who were not. Statistical methodology included the Wilcoxon rank sum test, Fisher's exact test, and logistic regression. RESULTS: Of 2051 neonates admitted to the KCH NICU, the overall neonatal mortality rate was 23.1% and remained similar across 12 months. Mortality was inversely related to birth weight, and outborn neonates referred to KCH had the highest mortality rate (29%). After controlling for confounding covariates, inborn infants exposed to ACS had significantly lower odds of death compared to those without exposure to ACS (adjusted odds ratio = 0.46, 95% confidence interval: 0.24-0.88, p = 0.020). CONCLUSION: Lower birth weight, outborn, and no ACS exposure were associated with increased mortality. ACS was associated with a 54% reduction in odds of mortality in inborn neonates highlighting the need for further evaluations of ACS use in resource-limited settings.

Biases in Survey Estimates of Neonatal Mortality: Results From a Validation Study in Urban Areas of Guinea-Bissau.

Neonatal deaths (occurring within 28 days of birth) account for close to one-half of all deaths among children under age 5 worldwide. In most low- and middle-income countries, data on neonatal deaths come primarily from household surveys. We conducted a validation study of survey data on neonatal mortality in Guinea-Bissau (West Africa). We used records from an urban health and demographic surveillance system (HDSS) that monitors child survival prospectively as our reference data set. We selected a stratified sample of 599 women aged 15-49 among residents of the HDSS and collected the birth histories of 422 participants. We cross-tabulated survey and HDSS data. We used a mathematical model to investigate biases in survey estimates of neonatal mortality. Reporting errors in survey data might lead to estimates of the neonatal mortality rate that are too high, which may limit our ability to track progress toward global health objectives.

Anatomical deadspace during resuscitation of infants with congenital diaphragmatic hernia.

BACKGROUND: Congenital diaphragmatic hernia (CDH) has a high mortality and morbidity related to pulmonary hypoplasia. AIMS: To test the hypothesis that CDH infants who survived would have a greater anatomical deadspace reflecting less severe pulmonary hypoplasia. Furthermore, infants with CDH who had undergone feto-tracheal occlusion (FETO) would have a greater anatomical deadspace. STUDY DESIGN: Infants were studied during resuscitation in the delivery suite. They were all intubated immediately at delivery, given a neuromuscular blocking agent and underwent respiratory monitoring. The anatomical deadspace was calculated from volumetric capnography measurements. SUBJECTS: Thirty infants born at 32 weeks of gestation or greater and diagnosed antenatally with a CDH were studied. Eleven had undergone FETO and overall five died. OUTCOME MEASURES: Anatomical deadspace (VdANA) and survival to discharge. RESULTS: The median (IQR) gestational age of the infants was 38.1 (35.2-39.3) weeks and birthweight 2.8 (2.3-3.3) kg. The anatomical deadspace was higher in those infants who survived (2.9 (2.8-3.3) mls/kg) compared to those who died (2.2 (2.1-2.7) mls/kg; p = 0.003) and was higher in those who had undergone FETO (3.0 (2.8-3.8) mls/kg) compared to those who had not (2.8 (2.4-3.0) mls/kg; p = 0.032). In predicting survival to discharge, the anatomical deadspace had an AUC of 0.90 (p = 0.006). CONCLUSIONS: CDH infants who survived had a larger anatomical deadspace than those who died suggesting they had less lung hypoplasia. In addition, infants who had undergone FETO had greater anatomical deadspace possibly reflecting distension of the conducting airways.