Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts

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Standard

Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts. / Khara, Tanya; Myatt, Mark; Sadler, Kate; Bahwere, Paluku; Berkley, James A; Black, Robert E; Boyd, Erin; Garenne, Michel; Isanaka, Sheila; Lelijveld, Natasha; McDonald, Christine; Mertens, Andrew; Mwangome, Martha; O'Brien, Kieran; Stobaugh, Heather; Taneja, Sunita; West, Keith P; Briend, André.

In: Public Health Nutrition, Vol. 26, No. 4, 2023, p. 803-819.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Khara, T, Myatt, M, Sadler, K, Bahwere, P, Berkley, JA, Black, RE, Boyd, E, Garenne, M, Isanaka, S, Lelijveld, N, McDonald, C, Mertens, A, Mwangome, M, O'Brien, K, Stobaugh, H, Taneja, S, West, KP & Briend, A 2023, 'Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts', Public Health Nutrition, vol. 26, no. 4, pp. 803-819. https://doi.org/10.1017/S136898002300023X

APA

Khara, T., Myatt, M., Sadler, K., Bahwere, P., Berkley, J. A., Black, R. E., Boyd, E., Garenne, M., Isanaka, S., Lelijveld, N., McDonald, C., Mertens, A., Mwangome, M., O'Brien, K., Stobaugh, H., Taneja, S., West, K. P., & Briend, A. (2023). Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts. Public Health Nutrition, 26(4), 803-819. https://doi.org/10.1017/S136898002300023X

Vancouver

Khara T, Myatt M, Sadler K, Bahwere P, Berkley JA, Black RE et al. Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts. Public Health Nutrition. 2023;26(4):803-819. https://doi.org/10.1017/S136898002300023X

Author

Khara, Tanya ; Myatt, Mark ; Sadler, Kate ; Bahwere, Paluku ; Berkley, James A ; Black, Robert E ; Boyd, Erin ; Garenne, Michel ; Isanaka, Sheila ; Lelijveld, Natasha ; McDonald, Christine ; Mertens, Andrew ; Mwangome, Martha ; O'Brien, Kieran ; Stobaugh, Heather ; Taneja, Sunita ; West, Keith P ; Briend, André. / Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts. In: Public Health Nutrition. 2023 ; Vol. 26, No. 4. pp. 803-819.

Bibtex

@article{fee74cf8aca24a05a1a3ac1d9640ea16,
title = "Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts",
abstract = "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 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 12 anthropometric case definitions examined, four (weight-for-age 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.",
keywords = "Faculty of Science, Wasting, Stunting, Underweight, Mid-upper arm circumference, Anthropometry, Mortality, Therapeutic feeding, Child survival",
author = "Tanya Khara and Mark Myatt and Kate Sadler and Paluku Bahwere and Berkley, {James A} and Black, {Robert E} and Erin Boyd and Michel Garenne and Sheila Isanaka and Natasha Lelijveld and Christine McDonald and Andrew Mertens and Martha Mwangome and Kieran O'Brien and Heather Stobaugh and Sunita Taneja and West, {Keith P} and Andr{\'e} Briend",
note = "CURIS 2023 NEXS 061",
year = "2023",
doi = "10.1017/S136898002300023X",
language = "English",
volume = "26",
pages = "803--819",
journal = "Public Health Nutrition",
issn = "1368-9800",
publisher = "Cambridge University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Anthropometric criteria for best-identifying children at high risk of mortality: a pooled analysis of twelve cohorts

AU - Khara, Tanya

AU - Myatt, Mark

AU - Sadler, Kate

AU - Bahwere, Paluku

AU - Berkley, James A

AU - Black, Robert E

AU - Boyd, Erin

AU - Garenne, Michel

AU - Isanaka, Sheila

AU - Lelijveld, Natasha

AU - McDonald, Christine

AU - Mertens, Andrew

AU - Mwangome, Martha

AU - O'Brien, Kieran

AU - Stobaugh, Heather

AU - Taneja, Sunita

AU - West, Keith P

AU - Briend, André

N1 - CURIS 2023 NEXS 061

PY - 2023

Y1 - 2023

N2 - 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 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 12 anthropometric case definitions examined, four (weight-for-age 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.

AB - 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 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 12 anthropometric case definitions examined, four (weight-for-age 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.

KW - Faculty of Science

KW - Wasting

KW - Stunting

KW - Underweight

KW - Mid-upper arm circumference

KW - Anthropometry

KW - Mortality

KW - Therapeutic feeding

KW - Child survival

U2 - 10.1017/S136898002300023X

DO - 10.1017/S136898002300023X

M3 - Review

C2 - 36734049

VL - 26

SP - 803

EP - 819

JO - Public Health Nutrition

JF - Public Health Nutrition

SN - 1368-9800

IS - 4

ER -

ID: 334956595