Browsing by Author "Robert E Black"

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    Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts
    (2023-02-03) Tanya Khara; Mark Myatt; Kate Sadler; Paluku Bahwere; James A Berkley; James A Berkley; Robert E Black; Erin Boyd; Michel Garenne; Sheila Isanaka; Natasha Lelijveld; Christine McDonald; Andrew Mertens; Martha Mwangome; Kieran O’Brien; Heather Stobaugh; Sunita Taneja; Keith P West; André Briend
    Objective: To understand which anthropometric diagnostic criteria best discriminate higher from lower risk of death in children and explore programme implications. Design: A multiple cohort individual data meta-analysis of mortality risk (within 6 months of measurement) by anthropometric case definitions. Sensitivity, specificity, informedness and inclusivity in predicting mortality, face validity and compatibility with current standards and practice were assessed and operational consequences were modelled. Setting: Community-based cohort studies in twelve low-income countries between 1977 and 2013 in settings where treatment of wasting was not widespread. Participants: Children aged 6 to 59 months. Results: Of the twelve anthropometric case definitions examined, four (weight-forage Z-score (WAZ) <−2), (mid-upper arm circumference (MUAC) <125 mm), (MUAC < 115 mm or WAZ < −3) and (WAZ < −3) had the highest informedness in predicting mortality. A combined case definition (MUAC < 115 mm or WAZ < −3) was better at predicting deaths associated with weight-for-height Z-score <−3 and concurrent wasting and stunting (WaSt) than the single WAZ < −3 case definition. After the assessment of all criteria, the combined case definition performed best. The simulated workload for programmes admitting based on MUAC < 115 mm or WAZ < −3, when adjusted with a proxy for required intensity and/or duration of treatment, was 1·87 times larger than programmes admitting on MUAC < 115 mm alone. Conclusions: A combined case definition detects nearly all deaths associated with severe anthropometric deficits suggesting that therapeutic feeding programmes may achieve higher impact (prevent mortality and improve coverage) by using it. There remain operational questions to examine further before wide-scale adoption can be recommended.
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    Effects of early-life poverty on health and human capital in children and adolescents: analyses of national surveys and birth cohort studies in LMICs
    (2022-04-30) Cesar G Victora; Fernando P Hartwig; Luis P Vidaletti; Reynaldo Martorell; Clive Osmond; Linda M Richter; Aryeh D Stein; Aluisio J D Barros; Linda S Adair; Fernando C Barros; Santosh K Bhargava; Bernardo L Horta; Maria F Kroker-Lobos; Nanette R Lee; Ana Maria B Menezes; Joseph Murray; Shane A Norris; Harshpal S Sachdev; Alan Stein; Jithin S Varghese; Zulfiqar A Bhutta; Robert E Black
    The survival and nutrition of children and, to a lesser extent, adolescents have improved substantially in the past two decades. Improvements have been linked to the delivery of effective biomedical, behavioural, and environmental interventions; however, large disparities exist between and within countries. Using data from 95 national surveys in low-income and middle-income countries (LMICs), we analyse how strongly the health, nutrition, and cognitive development of children and adolescents are related to early-life poverty. Additionally, using data from six large, long-running birth cohorts in LMICs, we show how early-life poverty can have a lasting effect on health and human capital throughout the life course. We emphasise the importance of implementing multisectoral anti-poverty policies and programmes to complement specific health and nutrition interventions delivered at an individual level, particularly at a time when COVID-19 continues to disrupt economic, health, and educational gains achieved in the recent past.
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    Prognostic value of different anthropometric indices over different measurement intervals to predict mortality in 6–59-month-old children
    (2023-06) André Briend; Mark Myatt; James A Berkley; Robert E Black; Erin Boyd; Michel Garenne; Natasha Lelijveld; Sheila Isanaka; Christine M McDonald; Martha Mwangwome; Kieran S O’Brien; Catherine Schwinger; Heather Stobaugh; Sunita Taneja; Keith P West; Tanya Khara
    Objective: To compare the prognostic value of mid-upper arm circumference (MUAC), weight-for-height Z-score (WHZ) and weight-for-age Z-score (WAZ) for predicting death over periods of 1, 3 and 6 months follow-up in children. Design: Pooled analysis of twelve prospective studies examining survival after anthropometric assessment. Sensitivity and false-positive ratios to predict death within 1, 3 and 6 months were compared for three individual anthropometric indices and their combinations. Setting: Community-based, prospective studies from twelve countries in Africa and Asia. Participants: Children aged 6–59 months living in the study areas. Results: For all anthropometric indices, the receiver operating characteristic curves were higher for shorter than for longer durations of follow-up. Sensitivity was higher for death with 1-month follow-up compared with 6 months by 49 % (95 % CI (30, 69)) for MUAC < 115 mm (P < 0·001), 48 % (95 % CI (9·4, 87)) for WHZ < -3 (P < 0·01) and 28 % (95 % CI (7·6, 42)) for WAZ < -3 (P < 0·005). This was accompanied by an increase in false positives of only 3 % or less. For all durations of follow-up, WAZ < -3 identified more children who died and were not identified by WHZ < -3 or by MUAC < 115 mm, 120 mm or 125 mm, but the use of WAZ < -3 led to an increased false-positive ratio up to 16·4 % (95 % CI (12·0, 20·9)) compared with 3·5 % (95 % CI (0·4, 6·5)) for MUAC < 115 mm alone. Conclusions: Frequent anthropometric measurements significantly improve the identification of malnourished children with a high risk of death without markedly increasing false positives. Combining two indices increases sensitivity but also increases false positives among children meeting case definitions.