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      Use of quantitative molecular diagnostic methods to assess the aetiology, burden, and clinical characteristics of diarrhoea in children in low-resource settings: a reanalysis of the MAL-ED cohort study

      research-article
      , MD a , * , * , , PhD a , * , , PhD a , b , , MSc c , , PhD d , , BSc e , , MSc f , , MD g , , BSc h , , BSc i , , BSc j , , PhD k , , PhD l , , PhD b , , PhD a , , PhD a , , MS a , , MS a , b , , MSc c , , MSc c , , MSc c , , MSc f , , MSc d , , B BSc d , , MPH e , m , , MSc g , , MSc g , , ScD m , n , , DPhil n , , PhD n , , PhD o , , PhD o , , MD a , , Prof, PhD k , , PhD l , , PhD h , , Prof, PhD h , , PhD p , , MD d , , MD d , , MD q , r , , PhD j , , MPH i , , PhD c , , Prof, PhD c , , Prof, MBBS f , , PhD f , , Prof, MD g , , MD e , m , , Prof, MD a , The MAL-ED Network Investigators
      The Lancet. Global Health
      Elsevier Ltd

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          Summary

          Background

          Optimum management of childhood diarrhoea in low-resource settings has been hampered by insufficient data on aetiology, burden, and associated clinical characteristics. We used quantitative diagnostic methods to reassess and refine estimates of diarrhoea aetiology from the Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) cohort study.

          Methods

          We re-analysed stool specimens from the multisite MAL-ED cohort study of children aged 0–2 years done at eight locations (Dhaka, Bangladesh; Vellore, India; Bhaktapur, Nepal; Naushero Feroze, Pakistan; Venda, South Africa; Haydom, Tanzania; Fortaleza, Brazil; and Loreto, Peru), which included active surveillance for diarrhoea and routine non-diarrhoeal stool collection. We used quantitative PCR to test for 29 enteropathogens, calculated population-level pathogen-specific attributable burdens, derived stringent quantitative cutoffs to identify aetiology for individual episodes, and created aetiology prediction scores using clinical characteristics.

          Findings

          We analysed 6625 diarrhoeal and 30 968 non-diarrhoeal surveillance stools from 1715 children. Overall, 64·9% of diarrhoea episodes (95% CI 62·6–71·2) could be attributed to an aetiology by quantitative PCR compared with 32·8% (30·8–38·7) using the original study microbiology. Viral diarrhoea (36·4% of overall incidence, 95% CI 33·6–39·5) was more common than bacterial (25·0%, 23·4–28·4) and parasitic diarrhoea (3·5%, 3·0–5·2). Ten pathogens accounted for 95·7% of attributable diarrhoea: Shigella (26·1 attributable episodes per 100 child-years, 95% CI 23·8–29·9), sapovirus (22·8, 18·9–27·5), rotavirus (20·7, 18·8–23·0), adenovirus 40/41 (19·0, 16·8–23·0), enterotoxigenic Escherichia coli (18·8, 16·5–23·8), norovirus (15·4, 13·5–20·1), astrovirus (15·0, 12·0–19·5), Campylobacter jejuni or C coli (12·1, 8·5–17·2), Cryptosporidium (5·8, 4·3–8·3), and typical enteropathogenic E coli (5·4, 2·8–9·3). 86·2% of the attributable incidence for Shigella was non-dysenteric. A prediction score for shigellosis was more accurate (sensitivity 50·4% [95% CI 46·7–54·1], specificity 84·0% [83·0–84·9]) than current guidelines, which recommend treatment only of bloody diarrhoea to cover Shigella (sensitivity 14·5% [95% CI 12·1–17·3], specificity 96·5% [96·0–97·0]).

          Interpretation

          Quantitative molecular diagnostics improved estimates of pathogen-specific burdens of childhood diarrhoea in the community setting. Viral causes predominated, including a substantial burden of sapovirus; however, Shigella had the highest overall burden with a high incidence in the second year of life. These data could improve the management of diarrhoea in these low-resource settings.

          Funding

          Bill & Melinda Gates Foundation.

          Related collections

          Most cited references21

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          • Abstract: not found
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          Index for rating diagnostic tests.

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            Estimating the population attributable risk for multiple risk factors using case-control data.

            A straightforward and unified approach is presented for the calculation of the population attributable risk per cent (etiologic fraction) in the general multivariate setting, with emphasis on using data from case-control studies. The summary attributable risk for multiple factors can be estimated, with or without adjustment for other (confounding) risk factors. The relation of this approach to procedures in the literature is discussed. Given values of the relative risks for various combinations of factors, all that is required is the distribution of these factors among the cases only. The required information can often be estimated solely from case-control data, and in some situations relative risk estimates from one population can be applied to calculation of attributable risk for another population. The authors emphasize the benefits to be obtained from logistic regression models, so that risks need not be estimated separately in a large number of strata, some of which may contain inadequate numbers of individuals. This approach allows incorporation of important interactions between factors, but does not require that all possible interactions be included. The approach is illustrated with data on four risk factors from a pair-matched case-control study of participants in a multicenter breast cancer screening project.
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              The MAL-ED study: a multinational and multidisciplinary approach to understand the relationship between enteric pathogens, malnutrition, gut physiology, physical growth, cognitive development, and immune responses in infants and children up to 2 years of age in resource-poor environments.

              (2014)
              Highly prevalent conditions with multiple and complex underlying etiologies are a challenge to public health. Undernutrition, for example, affects 20% of children in the developing world. The cause and consequence of poor nutrition are multifaceted. Undernutrition has been associated with half of all deaths worldwide in children aged <5 years; in addition, its pernicious long-term effects in early childhood have been associated with cognitive and physical growth deficits across multiple generations and have been thought to suppress immunity to further infections and to reduce the efficacy of childhood vaccines. The Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health (MAL-ED) Study, led by the Fogarty International Center of the National Institutes of Health and the Foundation for the National Institutes of Health, has been established at sites in 8 countries with historically high incidence of diarrheal disease and undernutrition. Central to the study is the hypothesis that enteropathogen infection contributes to undernutrition by causing intestinal inflammation and/or by altering intestinal barrier and absorptive function. It is further postulated that this leads to growth faltering and deficits in cognitive development. The effects of repeated enteric infection and undernutrition on the immune response to childhood vaccines is also being examined in the study. MAL-ED uses a prospective longitudinal design that offers a unique opportunity to directly address a complex system of exposures and health outcomes in the community-rather than the relatively rarer circumstances that lead to hospitalization-during the critical period of development of the first 2 years of life. Among the factors being evaluated are enteric infections (with or without diarrhea) and other illness indicators, micronutrient levels, diet, socioeconomic status, gut function, and the environment. MAL-ED aims to describe these factors, their interrelationships, and their overall impact on health outcomes in unprecedented detail, and to make individual, site-specific, and generalized recommendations regarding the nature and timing of possible interventions aimed at improving child health and development in these resource-poor settings.

                Author and article information

                Contributors
                Journal
                Lancet Glob Health
                Lancet Glob Health
                The Lancet. Global Health
                Elsevier Ltd
                2214-109X
                01 October 2018
                December 2018
                01 October 2018
                : 6
                : 12
                : e1309-e1318
                Affiliations
                [a ]Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
                [b ]Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
                [c ]Aga Khan University, Karachi, Pakistan
                [d ]Armed Forces Research Institute of Medical Sciences (AFRIMS), Bangkok, Thailand
                [e ]Asociación Benéfica PRISMA, Iquitos, Peru
                [f ]International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
                [g ]Christian Medical College, Vellore, India
                [h ]University of Venda, Thohoyandou, South Africa
                [i ]Haydom Global Health Institute, Haydom, Tanzania
                [j ]Kilimanjaro Clinical Research Institute, Moshi, Tanzania
                [k ]Federal University of Ceara, Fortaleza, Brazil
                [l ]Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil
                [m ]Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
                [n ]Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
                [o ]Foundation for the National Institutes of Health, Bethesda, MD, USA
                [p ]National Institute for Communicable Diseases, Johannesburg, South Africa
                [q ]Walter Reed/AFRIMS Research Unit, Nepal, Kathmandu, Nepal
                [r ]University of Bergen, Bergen, Norway
                Author notes
                [* ]Correspondence to: James A Platts-Mills, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA jp5t@ 123456virginia.edu
                [*]

                Contributed equally

                [†]

                Members listed in the appendix

                Article
                S2214-109X(18)30349-8
                10.1016/S2214-109X(18)30349-8
                6227251
                30287127
                3a3fd350-ba9b-4c9f-9c57-dfe58754ce33
                © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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