Literature DB >> 20587675

Accuracy of MUAC in the detection of severe wasting with the new WHO growth standards.

Miguel Angel Luque Fernández1, Pascale Delchevalerie, Michel Van Herp.   

Abstract

OBJECTIVES: The objectives of this study were to estimate the accuracy of using mid-upper-arm circumference (MUAC) measurements to diagnose severe wasting by comparing the new standards from the World Health Organization (WHO) with those from the US National Center for Health Statistics (NCHS) and to analyze the age independence of the MUAC cutoff values for both curves.
METHODS: We used cross-sectional anthropometric data for 34,937 children between the ages of 6 and 59 months, from 39 nutritional surveys conducted by Doctors Without Borders. Receiver operating characteristic curves were used to examine the accuracy of MUAC diagnoses. MUAC age independence was analyzed with logistic regression models.
RESULTS: With the new WHO curve, the performance of MUAC measurements, in terms of sensitivity and specificity, deteriorated. With different cutoff values, however, the WHO standards significantly improved the predictive value of MUAC measurements over the NCHS standards. The sensitivity and specificity of MUAC measurements were the most age independent when the WHO curve, rather than the NCHS curve, was used.
CONCLUSIONS: This study confirms the need to change the MUAC cutoff value from <110 mm to <115 mm. This increase of 5 mm produces a large change in sensitivity (from 16% to 25%) with little loss in specificity, improves the probability of diagnosing severe wasting, and reduces false-negative results by 12%. This change is needed to maintain the same diagnostic accuracy as the old curve and to identify the children at greatest risk of death resulting from severe wasting.

Entities:  

Mesh:

Year:  2010        PMID: 20587675     DOI: 10.1542/peds.2009-2175

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  22 in total

1.  Efficacy of mid-upper arm circumference in identification, follow-up and discharge of malnourished children during nutrition rehabilitation.

Authors:  Joseph Birundu Mogendi; Hans De Steur; Xavier Gellynck; Hibbah Araba Saeed; Anselimo Makokha
Journal:  Nutr Res Pract       Date:  2015-02-27       Impact factor: 1.926

2.  Is home birth a marker for severe malnutrition in early infancy in urban communities of low-income countries?

Authors:  Bolajoko O Olusanya; James K Renner
Journal:  Matern Child Nutr       Date:  2011-06-22       Impact factor: 3.092

3.  Do we need to reconsider the CMAM admission and discharge criteria?; an analysis of CMAM data in South Sudan.

Authors:  Eunyong Ahn; Cyprian Ouma; Mesfin Loha; Asrat Dibaba; Wendy Dyment; Jaekwang Kim; Nam Seon Beck; Taesung Park
Journal:  BMC Public Health       Date:  2020-04-16       Impact factor: 3.295

4.  Physical activity level among children recovering from severe acute malnutrition.

Authors:  Esther Babirekere-Iriso; Maren Johanne Heilskov Rytter; Hanifa Namusoke; Ezekiel Mupere; Kim F Michaelsen; Ken D Stark; Lotte Lauritzen; André Briend; Henrik Friis; Søren Brage; Daniel Faurholt-Jepsen
Journal:  Trop Med Int Health       Date:  2018-01-04       Impact factor: 2.622

5.  Comparison of Clinical Characteristics and Treatment Outcomes of Children Selected for Treatment of Severe Acute Malnutrition Using Mid Upper Arm Circumference and/or Weight-for-Height Z-Score.

Authors:  Sheila Isanaka; Benjamin Guesdon; Amy S Labar; Kerstin Hanson; Celine Langendorf; Rebecca F Grais
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

6.  Reliability and accuracy of anthropometry performed by community health workers among infants under 6 months in rural Kenya.

Authors:  Martha K Mwangome; Greg Fegan; Ronald Mbunya; Andrew M Prentice; James A Berkley
Journal:  Trop Med Int Health       Date:  2012-02-26       Impact factor: 2.622

7.  Optimal screening of children with acute malnutrition requires a change in current WHO guidelines as MUAC and WHZ identify different patient groups.

Authors:  Arnaud Laillou; Sophonneary Prak; Richard de Groot; Sophie Whitney; Joel Conkle; Lindsey Horton; Sam Oeurn Un; Marjoleine A Dijkhuizen; Frank T Wieringa
Journal:  PLoS One       Date:  2014-07-01       Impact factor: 3.240

8.  Mid-upper arm circumference based nutrition programming: evidence for a new approach in regions with high burden of acute malnutrition.

Authors:  Sylvie Goossens; Yodit Bekele; Oliver Yun; Géza Harczi; Marie Ouannes; Susan Shepherd
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

9.  Inconsistent diagnosis of acute malnutrition by weight-for-height and mid-upper arm circumference: contributors in 16 cross-sectional surveys from South Sudan, the Philippines, Chad, and Bangladesh.

Authors:  Dominique Roberfroid; Lieven Huybregts; Carl Lachat; France Vrijens; Patrick Kolsteren; Benjamin Guesdon
Journal:  Nutr J       Date:  2015-08-25       Impact factor: 3.271

10.  Current MUAC Cut-Offs to Screen for Acute Malnutrition Need to Be Adapted to Gender and Age: The Example of Cambodia.

Authors:  Marion Fiorentino; Prak Sophonneary; Arnaud Laillou; Sophie Whitney; Richard de Groot; Marlène Perignon; Khov Kuong; Jacques Berger; Frank T Wieringa
Journal:  PLoS One       Date:  2016-02-03       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.