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Developmental trajectories of children with birth asphyxia through 36 months of age in low/low-middle income countries.

ABSTRACT: Resuscitation following birth asphyxia reduces mortality, but may be argued to increase risk for neurodevelopmental disability in survivors.To test the hypothesis that development of infants who received resuscitation following birth asphyxia is not significantly different through 36months of age from infants who had healthy births.Prospective observational cohort design comparing infants exposed to birth asphyxia with resuscitation or healthy birth.A random sample of infants with birth asphyxia who received bag-and-mask resuscitation was selected from birth records in selected communities in 3 countries.birth weight<1500g, severely abnormal neurological examination at 7days, mother<15years, unable to participate, or not expected to remain in the target area. A random sample of healthy-birth infants (no resuscitation, normal neurological exam) was also selected. Eligible=438, consented=407, and ?1 valid developmental assessment during the first 36months=376.Bayley Scales of Infant Development-II Mental (MDI) and Psychomotor (PDI) Development Index.Trajectories of MDI (p=.069) and PDI (p=.143) over 3 yearly assessments did not differ between children with birth asphyxia and healthy-birth children. Rather there was a trend for birth asphyxia children to improve more than healthy-birth children.The large majority of infants who are treated with resuscitation and survived birth asphyxia can be expected to evidence normal development at least until age 3. The risk for neurodevelopmental disability should not justify the restriction of effective therapies for birth asphyxia.

SUBMITTER: Wallander JL

PROVIDER: S-EPMC4097313 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Developmental trajectories of children with birth asphyxia through 36 months of age in low/low-middle income countries.

Wallander Jan L JL Bann Carla C Chomba Elwyn E Goudar Shivaprasad S SS Pasha Omrana O Biasini Fred J FJ McClure Elizabeth M EM Thorsten Vanessa V Wallace Dennis D Carlo Waldemar A WA

Early human development 20140509 7

<h4>Background</h4>Resuscitation following birth asphyxia reduces mortality, but may be argued to increase risk for neurodevelopmental disability in survivors.<h4>Aims</h4>To test the hypothesis that development of infants who received resuscitation following birth asphyxia is not significantly different through 36months of age from infants who had healthy births.<h4>Study design</h4>Prospective observational cohort design comparing infants exposed to birth asphyxia with resuscitation or healthy ...[more]

PMID: 24815056

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Project description:The positive effects of early developmental intervention (EDI) on early child development have been reported in numerous controlled trials in a variety of countries. An important aspect to determining the efficacy of EDI is the degree to which dosage is linked to outcomes. However, few studies of EDI have conducted such analyses. This observational cohort study examined the association between treatment dose and children's development when EDI was implemented in three low and low-middle income countries as well as demographic and child health factors associated with treatment dose.Infants (78 males, 67 females) born in rural communities in India, Pakistan, and Zambia received a parent-implemented EDI delivered through biweekly home visits by trainers during the first 36 months of life. Outcome was measured at age 36 months with the Mental (MDI) and Psychomotor (PDI) Development Indices of the Bayley Scales of Infant Development-II. Treatment dose was measured by number of home visits completed and parent-reported implementation of assigned developmental stimulation activities between visits. Sociodemographic, prenatal, perinatal, and child health variables were measures as correlates.Average home visits dose exceeded 91% and mothers engaged the children in activities on average 62.5% of days. Higher home visits dose was significantly associated with higher MDI (mean for dose quintiles 1-2 combined = 97.8, quintiles 3-5 combined = 103.4, p = 0.0017). Higher treatment dose was also generally associated with greater mean PDI, but the relationships were non-linear. Location, sociodemographic, and child health variables were associated with treatment dose.Receiving a higher dose of EDI during the first 36 months of life is generally associated with better developmental outcomes. The higher benefit appears when receiving ?91% of biweekly home visits and program activities on ?67% of days over 3 years. It is important to ensure that EDI is implemented with a sufficiently high dose to achieve desired effect. To this end groups at risk for receiving lower dose can be identified and may require special attention to ensure adequate effect.

Project description:ImportanceWorldwide, preterm birth (PTB) is the single largest cause of deaths in the perinatal and neonatal period and is associated with increased morbidity in young children. The cause of PTB is multifactorial, and the development of generalizable biological models may enable early detection and guide therapeutic studies.ObjectiveTo investigate the ability of transcriptomics and proteomics profiling of plasma and metabolomics analysis of urine to identify early biological measurements associated with PTB.Design, setting, and participantsThis diagnostic/prognostic study analyzed plasma and urine samples collected from May 2014 to June 2017 from pregnant women in 5 biorepository cohorts in low- and middle-income countries (LMICs; ie, Matlab, Bangladesh; Lusaka, Zambia; Sylhet, Bangladesh; Karachi, Pakistan; and Pemba, Tanzania). These cohorts were established to study maternal and fetal outcomes and were supported by the Alliance for Maternal and Newborn Health Improvement and the Global Alliance to Prevent Prematurity and Stillbirth biorepositories. Data were analyzed from December 2018 to July 2019.ExposuresBlood and urine specimens that were collected early during pregnancy (median sampling time of 13.6 weeks of gestation, according to ultrasonography) were processed, stored, and shipped to the laboratories under uniform protocols. Plasma samples were assayed for targeted measurement of proteins and untargeted cell-free ribonucleic acid profiling; urine samples were assayed for metabolites.Main outcomes and measuresThe PTB phenotype was defined as the delivery of a live infant before completing 37 weeks of gestation.ResultsOf the 81 pregnant women included in this study, 39 had PTBs (48.1%) and 42 had term pregnancies (51.9%) (mean [SD] age of 24.8 [5.3] years). Univariate analysis demonstrated functional biological differences across the 5 cohorts. A cohort-adjusted machine learning algorithm was applied to each biological data set, and then a higher-level machine learning modeling combined the results into a final integrative model. The integrated model was more accurate, with an area under the receiver operating characteristic curve (AUROC) of 0.83 (95% CI, 0.72-0.91) compared with the models derived for each independent biological modality (transcriptomics AUROC, 0.73 [95% CI, 0.61-0.83]; metabolomics AUROC, 0.59 [95% CI, 0.47-0.72]; and proteomics AUROC, 0.75 [95% CI, 0.64-0.85]). Primary features associated with PTB included an inflammatory module as well as a metabolomic module measured in urine associated with the glutamine and glutamate metabolism and valine, leucine, and isoleucine biosynthesis pathways.Conclusions and relevanceThis study found that, in LMICs and high PTB settings, major biological adaptations during term pregnancy follow a generalizable model and the predictive accuracy for PTB was augmented by combining various omics data sets, suggesting that PTB is a condition that manifests within multiple biological systems. These data sets, with machine learning partnerships, may be a key step in developing valuable predictive tests and intervention candidates for preventing PTB.

Project description:BackgroundBirth weight (BW) is a strong predictor of neonatal outcomes. The purpose of this study was to compare BWs between global regions (south Asia, sub-Saharan Africa, Central America) prospectively and to determine if trends exist in BW over time using the population-based maternal and newborn registry (MNHR) of the Global Network for Women'sand Children's Health Research (Global Network).MethodsThe MNHR is a prospective observational population-based registryof six research sites participating in the Global Network (2013-2018), within five low- and middle-income countries (Kenya, Zambia, India, Pakistan, and Guatemala) in threeglobal regions (sub-Saharan Af rica, south Asia, Central America). The birth weights were obtained for all infants born during the study period. This was done either by abstracting from the infants' health facility records or from direct measurement by the registry staff for infants born at home. After controlling for demographic characteristics, mixed-effect regression models were utilized to examine regional differences in birth weights over time.ResultsThe overall BW meanswere higher for the African sites (Zambia and Kenya), 3186 g (SD 463 g) in 2013 and 3149 g (SD 449 g) in 2018, ascompared to Asian sites (Belagavi and Nagpur, India and Pakistan), 2717 g (SD450 g) in 2013 and 2713 g (SD 452 g) in 2018. The Central American site (Guatemala) had a mean BW intermediate between the African and south Asian sites, 2928 g (SD 452) in 2013, and 2874 g (SD 448) in 2018. The low birth weight (LBW) incidence was highest in the south Asian sites (India and Pakistan) and lowest in the African sites (Kenya and Zambia). The size of regional differences varied somewhat over time with slight decreases in the gap in birth weights between the African and Asian sites and slight increases in the gap between the African and Central American sites.ConclusionsOverall, BWmeans by global region did not change significantly over the 5-year study period. From 2013 to 2018, infants enrolled at the African sites demonstrated the highest BW means overall across the entire study period, particularly as compared to Asian sites. The incidence of LBW was highest in the Asian sites (India and Pakistan) compared to the African and Central American sites. Trial registration The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475.

Project description:BackgroundThe UN Sustainable Development Goals (SDGs) call for stratification of social indicators by ethnic groups; however, no recent multicountry analyses on ethnicity and child survival have been done in low-income and middle-income countries (LMICs).MethodsWe used data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys collected between 2010 and 2016, from LMICs that provided birth histories and information on ethnicity or a proxy variable. We calculated neonatal (age 0-27 days), post-neonatal (age 28-364 days), child (age 1-4 years), and under-5 mortality rates (U5MRs) for each ethnic group within each country. We assessed differences in mortality between ethnic groups using a likelihood ratio test, Theil's index, and between-group variance. We used multivariable analyses of U5MR by ethnicity to adjust for household wealth, maternal education, and urban-rural residence.FindingsWe included data from 36 LMICs, which included 2 812 381 livebirths among 415 ethnic groups. In 25 countries, significant differences in U5MR by ethnic group were identified (all p<0·05 likelihood ratio test). In these countries, the median mortality ratio between the ethnic groups with the highest and lowest U5MRs was 3·3 (IQR 2·1-5·2; range 1·5-8·5), whereas among the remaining 11 countries, the median U5MR ratio was 1·9 (IQR 1·7-2·5; range 1·4-10·0). Ethnic gaps were wider for child mortality than for neonatal or post-neonatal mortality. In nearly all countries, adjustment for wealth, education, and place of residence did not affect ethnic gaps in mortality, with the exception of Guatemala, India, Laos, and Nigeria. The largest ethnic group did not have the lowest U5MR in any of the countries studied.InterpretationSignificant ethnic disparities in child survival were identified in more than two-thirds of the countries studied. Regular analyses of ethnic disparities are essential for monitoring trends, targeting, and assessing the impact of health interventions. Such analyses will contribute to the effort towards leaving no one behind, which is at the centre of the SDGs.FundingBill & Melinda Gates Foundation, UNICEF, Wellcome Trust, Associação Brasileira de Saúde Coletiva.

Project description:ObjectiveAccurate reporting of birth outcomes in low-income and middle-income countries (LMICs) is essential. Mobile health (mHealth) tools have been proposed as a replacement for conventional paper-based registers. mHealth could provide timely data for individual facilities and health departments, as well as capture deliveries outside facilities. This scoping review evaluates which mHealth tools have been reported to birth outcomes in the delivering room in LMICs and documents their reported advantages and drawbacks.DesignA scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Joanna Briggs Institute guidelines for scoping reviews and the mHealth evidence reporting and assessment checklist for evaluating mHealth interventions.Data sourcesPubMed, CINAHL and Global Health were searched for records until 3 February 2022 with no earliest date limit.Eligibility criteriaStudies were included where healthcare workers used mHealth tools in LMICs to record birth outcomes. Exclusion criteria included mHealth not being used at the point of delivery, non-peer reviewed literature and studies not written in English.Data extraction and synthesisTwo independent reviewers screened studies and extracted data. Common themes among studies were identified.Results640 records were screened, 21 of which met the inclusion criteria, describing 15 different mHealth tools. We identified six themes: (1) digital tools for labour monitoring (8 studies); (2) digital data collection of specific birth outcomes (3 studies); (3) digital technologies used in community settings (6 studies); (4) attitudes of healthcare workers (10 studies); (5) paper versus electronic data collection (3 studies) and (6) infrastructure, interoperability and sustainability (8 studies).ConclusionSeveral mHealth technologies are reported to have the capability to record birth outcomes at delivery, but none were identified that were designed solely for that purpose. Use of digital delivery registers appears feasible and acceptable to healthcare workers, but definitive evaluations are lacking. Further assessment of the sustainability of technologies and their ability to integrate with existing health information systems is needed.

Dataset Information

Developmental trajectories of children with birth asphyxia through 36 months of age in low/low-middle income countries.

Publications

Developmental trajectories of children with birth asphyxia through 36 months of age in low/low-middle income countries.

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