Suchergebnisse

OBJECTIVES: To characterize and compare the gut microbial structures in women of childbearing age from Africa (the Democratic Republic of the Congo, DRC) and South Asia (India) METHODS: Women of childbearing age were recruited from rural DRC and India as part of the WF preconception maternal nutrition trial. Findings presented include the gut microbiota (16S rRNA sequencing) of women at the time of randomization prior to conception in the WF trial and represented participants from two of the WF sites, with distinctive ethnicity, diet, culture and geographical locations. Women were recruited from 12 villages in rural DRC and 9 villages from rural India. 24-h dietary recalls were conducted on half of the participants during the first trimester of pregnancy. RESULTS: Stool samples were collected from n = 217 women (DRC n = 117; India n = 100). Alpha diversity of the gut microbiota was higher in DRC than in India using Chao1 (91 ± 11 vs. 82 ± 12, P < 0.001). At Phylum level, the three most abundant phyla were Bacteroidetes (51%), Firmicutes (33%) and Proteobacteria (7%) with no difference between sites. At Genus level, Prevotella remained the only strain that was over 10% abundance (DRC: 27 ± 11%; India: 29 ± 13%; P = 0.32). Some fiber fermenting strains Succinivibrio (DRC: 3.2 ± 0.8%; India: 3.2 ± 0.6%; P = 0.11) and Roseburia (DRC: 2.0 ± 0.3%; India: 2.1 ± 0.4%; P = 0.31) remained at relatively high abundance without differences between sites. Bifidobacterium was higher in India (4.95 ± 1.0%) than DRC (0.3 ± 0.1%; P = 1.4E-28), and so was Lactobacillus (DRC: 0.2 ± 0.0%; India: 1.2 ± 0.1%; P = 3.0E-14) and Faeclibacterium (DRC: 6.0 ± 1.7%; India: 8.4 ± 2.9%; P = 2E-7). Ruminococcus was higher in DRC (2.3 ± 0.7%) than in India (1.8 ± 0.4%; P = 1.3E-5). These observations were consistent with dietary intakes of high plant-based foods for both countries; India being primarily vegetarian with regular fermented dairy consumption and DRC consumes animal-based foods regularly. The gut microbiota was not affected by any ...

OBJECTIVES: Newborn size, including length, has been associated with later growth. Preconception nutrition supplementation in Women First (WF) trial (clinicaltrials.gov NCT01883193) was associated with higher newborn length and lower rates of stunting. The objective was to examine postnatal growth outcomes through 6 mo in the WF offspring. METHODS: Subjects were 2450 infants from the WF sites in Democratic Republic of Congo (DRC), Guatemala, India, and Pakistan with the 3 WF arms maintained: Arm 1 started a lipid-based nutrition supplement ≥ 3 mo prior to conception; Arm 2 started same supplement at ∼11 wk gestation; and Arm 3 received no trial supplements. Maternal supplementation was discontinued at delivery. Anthropometric measurements were obtained at birth, 0.5, 1, 3, and 6 mo; Z-scores were calculated from WHO Child Growth Standards. Primary and secondary outcomes were analyzed using longitudinal generalized estimating equations accounting for the correlation of repeated measures over time and study cluster. Intervention effects were evaluated within each site as well as overall, adjusting for site and baseline maternal covariates that differed by arm. Statistical interaction between arm and infant sex was evaluated and included if significant. RESULTS: Longitudinal growth (length and weight) curves from 0–6 mo demonstrated differences by intervention arm, with Arms 1 and 2 more favorable compared to Arm 3 (Table + LAZ in Figure). Relative risks (RR) for stunting were significantly lower for Arms 1 and 2 (vs. Arm 3) (Table). Site-specific analyses revealed some site differences warranting further exploration. CONCLUSIONS: Without any postnatal intervention, differences in fetal growth evident at birth persisted at 6 months. FUNDING SOURCES: Bill & Melinda Gates Foundation; NIH, NICHD & ODS. SUPPORTING TABLES, IMAGES AND/OR GRAPHS:

OBJECTIVES: Nutrition during fetal and early postnatal life impacts brain development, however evidence from randomized trials from low-and-middle-income countries (LMIC) is limited. We evaluated effects of maternal nutrition supplementation before and during pregnancy on neurodevelopment and vision in children from 4 LMIC with high rates of stunting, using a simplified assessment tool. METHODS: Women First was an individually randomized trial comparing the impact of maternal nutrition supplementation initiated preconception vs at ∼12 wk gestation vs no supplement; interventions were discontinued at delivery in trial sites in Democratic Republic of the Congo, Guatemala, India, and Pakistan. Neurodevelopment and visual acuity and visual contrast sensitivity were assessed at 24 mo using the INTER-NDA and the Cardiff tests, respectively, in a random sub-set, representing ∼1/3 of infants with valid birth measurements from the WF trial. Anthropometry and Family Care Indicators (FCI) were also obtained at 24 mo. RESULTS: 667 and 634 children (91% and 86% of sub-set) were included in INTER-NDA and vision analyses. Arm-proportionate contribution was 32.2–32.8%. Overall, we observed the following percentage of children with delays: 66.6% cognitive; 87.4% fine motor; 91.3% gross motor; and 11.7% language; 25.9% had positive behavior problems; and 26.0% and 21.0% had low acuity and contrast sensitivity scores, respectively. WF intervention arm was not significant for INTER-NDA scores, rates of mild-to-moderate or severe delay (F = 0.004–1.518, p = 0.28–0.99; X(2 )= 3.81–5.92, p = 0.18–0.42; X(2 )= 3.81–6.33, p = 0.18–0.43); or for low acuity and contrast sensitivity (X(2 )= 0.91, p = 0.63 and X(2 )= 1.64, p = 0.44). LAZ(24mo) was significantly associated with cognitive, motor, language, and behavior scores; maternal education predicted cognitive, language, and vision; and FCI was significantly associated with fine motor, language, and behavior after adjusting for other covariates (R(2) 0.33 cognitive; 0.40 language; 0.12 ...

BACKGROUND: To describe quantitative data quality monitoring and performance metrics adopted by the Global Network´s (GN) Maternal Newborn Health Registry (MNHR), a maternal and perinatal population-based registry (MPPBR) based in low and middle income countries (LMICs). METHODS: Ongoing prospective, population-based data on all pregnancy outcomes within defined geographical locations participating in the GN have been collected since 2008. Data quality metrics were defined and are implemented at the cluster, site and the central level to ensure data quality. Quantitative performance metrics are described for data collected between 2010 and 2013. RESULTS: Delivery outcome rates over 95% illustrate that all sites are successful in following patients from pregnancy through delivery. Examples of specific performance metric reports illustrate how both the metrics and reporting process are used to identify cluster-level and site-level quality issues and illustrate how those metrics track over time. Other summary reports (e.g. the increasing proportion of measured birth weight compared to estimated and missing birth weight) illustrate how a site has improved quality over time. CONCLUSION: High quality MPPBRs such as the MNHR provide key information on pregnancy outcomes to local and international health officials where civil registration systems are lacking. The MNHR has measures in place to monitor data collection procedures and improve the quality of data collected. Sites have increasingly achieved acceptable values of performance metrics over time, indicating improvements in data quality, but the quality control program must continue to evolve to optimize the use of the MNHR to assess the impact of community interventions in research protocols in pregnancy and perinatal health. ; Fil: Goudar, Shivaprasad S. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Stolka, Kristen B. Research Triangle Institute International; Estados Unidos ; Fil: Koso Thomas, Marion. Eunice Kennedy Shriver National Institute of Child Health and Human Development; Estados Unidos ; Fil: Honnungar, Narayan V. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Mastiholi, Shivanand C. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Ramadurg, Umesh Y. S. Nijalingappa Medical College; India ; Fil: Dhaded, Sangappa M. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Pasha, Omrana. Aga Khan University; Pakistán ; Fil: Patel, Archana. Indira Gandhi Government Medical College and Lata Medical Research Foundation; India ; Fil: Esamai, Fabian. University School of Medicine; Kenia ; Fil: Chomba, Elwyn. University of Zambia; Zambia ; Fil: Garces, Ana. Universidad de San Carlos; Guatemala ; Fil: Althabe, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina ; Fil: Carlo, Waldemar A. University of Alabama at Birmingahm; Estados Unidos ; Fil: Goldenberg, Robert L. Columbia University; Estados Unidos ; Fil: Hibberd, Patricia L. Massachusetts General Hospital for Children; Estados Unidos ; Fil: Liechty, Edward A. Indiana University; Estados Unidos ; Fil: Krebs, Nancy F. University of Colorado School of Medicine; Estados Unidos ; Fil: Hambidge, Michael K. University of Colorado School of Medicine; Estados Unidos ; Fil: Moore, Janet L. Research Triangle Institute International; Estados Unidos ; Fil: Wallace, Dennis D. Research Triangle Institute International; Estados Unidos ; Fil: Derman, Richard J. Christiana Care Health Services; Estados Unidos ; Fil: Bhalachandra, Kodkany S. KLE University. Jawaharlal Nehru Medical College; India ; Fil: Bose, Carl L. University of North Carolina; Estados Unidos