16 research outputs found

    Early Initiation and Exclusivity of Breastfeeding in Rural Zimbabwe: Impact of a Breastfeeding Intervention Delivered by Village Health Workers.

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    Background: Suboptimal breastfeeding contributes to >800,000 global child deaths annually. Optimal breastfeeding includes early initiation (EI) and exclusive breastfeeding (EBF) for the first 6 mo. Objectives: We tested the hypothesis that an intervention targeting context and infant age-specific barriers to EI and EBF will achieve a higher EI and EBF prevalence than those of women participating in the concurrently conducted 2015 Zimbabwe Demographic Health Survey (Z-DHS). Methods: We designed an intervention to promote EI and EBF, and implemented it within the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe. Intervention modules were delivered at 4 perinatal time points by government-employed village health workers. We compared EI and EBF prevalence among SHINE women who provided outcomes at 1 mo (n = 2442) and 3 mo (n = 2728), with women in the 2015 Z-DHS. Results: In cross-sectional analyses EI prevalence was 86.6% and 64.3% in the SHINE and Z-DHS samples, respectively; absolute difference (95% CI) = 22.4% (17.5%, 27.3%). EBF prevalence was similarly high (>80%) in both surveys during the first month of life; during 1 to <2 mo, 2 to <3 mo, 3 to <4 mo, 4 to <5 mo, and 5 to <6 mo, EBF prevalence was, respectively, 85%, 90%, 90%, 84%, and 75% in SHINE, and 71%, 65%, 35%, 26%, and 25% in Z-DHS; absolute difference (95% CI) = 50.2% (34.7%, 65.7%) at 5 to <6 mo. Cesarean delivery, mother's belief that intimate partner violence was sometimes justifiable, and having a male infant negatively modified the effects of the intervention. Conclusions: The SHINE intervention achieved a high prevalence of EI and EBF. Concurrently addressing gender norms will be critical to make further progress. Formative studies to identify context- and infant age-specific barriers to EI and EBF may inform improvement of breastfeeding practices elsewhere. Important work remains to scale up this intervention beyond a research setting. SHINE was registered at www.clinicaltrials.gov as NCT01824940.Bill and Melinda Gates Foundation (OPP1021542 and OPP1143707)United Kingdom Department for International Development (DFID/UKAID)Wellcome Trust (093768/Z/10/Z and 108065/Z/15/ZSwiss Agency for Development and Cooperatio

    Exposing and Overcoming Limitations of Clinical Laboratory Tests in COVID-19 by Adding Immunological Parameters; A Retrospective Cohort Analysis and Pilot Study

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    BackgroundTwo years since the onset of the COVID-19 pandemic no predictive algorithm has been generally adopted for clinical management and in most algorithms the contribution of laboratory variables is limited. ObjectivesTo measure the predictive performance of currently used clinical laboratory tests alone or combined with clinical variables and explore the predictive power of immunological tests adequate for clinical laboratories. Methods: Data from 2,600 COVID-19 patients of the first wave of the pandemic in the Barcelona area (exploratory cohort of 1,579, validation cohorts of 598 and 423 patients) including clinical parameters and laboratory tests were retrospectively collected. 28-day survival and maximal severity were the main outcomes considered in the multiparametric classical and machine learning statistical analysis. A pilot study was conducted in two subgroups (n=74 and n=41) measuring 17 cytokines and 27 lymphocyte phenotypes respectively. Findings1) Despite a strong association of clinical and laboratory variables with the outcomes in classical pairwise analysis, the contribution of laboratory tests to the combined prediction power was limited by redundancy. Laboratory variables reflected only two types of processes: inflammation and organ damage but none reflected the immune response, one major determinant of prognosis. 2) Eight of the thirty variables: age, comorbidity index, oxygen saturation to fraction of inspired oxygen ratio, neutrophil-lymphocyte ratio, C-reactive protein, aspartate aminotransferase/alanine aminotransferase ratio, fibrinogen, and glomerular filtration rate captured most of the combined statistical predictive power. 3) The interpretation of clinical and laboratory variables was moderately improved by grouping them in two categories i.e., inflammation related biomarkers and organ damage related biomarkers; Age and organ damage-related biomarker tests were the best predictors of survival, and inflammatory-related ones were the best predictors of severity. 4) The pilot study identified immunological tests (CXCL10, IL-6, IL-1RA and CCL2), that performed better than most currently used laboratory tests. ConclusionsLaboratory tests for clinical management of COVID 19 patients are valuable but limited predictors due to redundancy; this limitation could be overcome by adding immunological tests with independent predictive power. Understanding the limitations of tests in use would improve their interpretation and simplify clinical management but a systematic search for better immunological biomarkers is urgent and feasible

    Native ancestry is associated with optic neuritis and age of onset in hispanics with multiple sclerosis

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    Hispanics with multiple sclerosis (MS) present younger and more often with optic neuritis (ON) as compared to Whites in the western United States. Regional differences related to Hispanic genetic admixture could be responsible. We investigated the association between global genetic ancestry and ON and age at onset of MS in Hispanics. Data were obtained for 1033 self-identified Hispanics with MS from four MS-based registries from four academic institutions across the United States January 2016-April 2017. Multivariate regression models, utilizing genetic ancestry estimates for Native American (NA), African, and European ancestry, were used to assess the relationship between genetic ancestry and ON presentation and age of MS onset, defined as age at first symptom. Genetic ancestry and ON proportions varied by region where NA ancestry and ON proportions were highest among Hispanics in the southwestern United States (40% vs. 19% overall for NA and 38% vs. 25% overall for ON). A strong inverse correlation was observed between NA and European ancestry (r = −0.83). ON presentation was associated with younger age of onset (OR: 0.98; 95% CI: 0.96-0.99; P = 7.80 × 10 −03) and increased NA ancestry (OR: 2.35 for the highest versus the lowest quartile of NA ancestry; 95% CI: 1.35-4.10; P = 2.60 × 10 −03). Younger age of onset was found to be associated with a higher proportion NA (Beta: −5.58; P = 3.49 × 10 −02) and African ancestry (Beta: −10.07; P = 1.39 × 10 −03). Ethnic differences associated with genetic admixture could influence clinical presentation in Hispanics with MS; underscoring the importance of considering genetic substructure in future clinical, genetic, and epigenetic studies in Hispanics

    Lipid profiles and outcome in patients treated by intravenous thrombolysis for cerebral ischemia

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    OBJECTIVE:To determine whether low low-density lipoprotein cholesterol (LDL-C) but not high-density lipoprotein cholesterol (HDL-C) and triglyceride concentrations are associated with worse outcome in a large cohort of ischemic stroke patients treated with IV thrombolysis. METHODS:Observational multicenter post hoc analysis of prospectively collected data in stroke thrombolysis registries. Because of collinearity between total cholesterol (TC) and LDL-C, we used 2 different models with TC (model 1) and with LDL-C (model 2). RESULTS:Of the 2,485 consecutive patients, 1,847 (74%) had detailed lipid profiles available. Independent predictors of 3-month mortality were lower serum HDL-C (adjusted odds ratio [(adj)OR] 0.531, 95% confidence interval [CI] 0.321-0.877 in model 1; (adj)OR 0.570, 95% CI 0.348-0.933 in model 2), lower serum triglyceride levels ((adj)OR 0.549, 95% CI 0.341-0.883 in model 1; (adj)OR 0.560, 95% CI 0.353-0.888 in model 2), symptomatic ICH, and increasing NIH Stroke Scale score, age, C-reactive protein, and serum creatinine. TC, LDL-C, HDL-C, and triglycerides were not independently associated with symptomatic ICH. Increased HDL-C was associated with an excellent outcome (modified Rankin Scale score 0-1) in model 1 ((adj)OR 1.390, 95% CI 1.040-1.860). CONCLUSION:Lower HDL-C and triglycerides were independently associated with mortality. These findings were not due to an association of lipid concentrations with symptomatic ICH and may reflect differences in baseline comorbidities, nutritional state, or a protective effect of triglycerides and HDL-C on mortality following acute ischemic stroke
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