Lackness in Identifying Severe Acute Malnutrition by Using Mid Upper Arm Circumference as Stand Alone Marker
- 1. Associate Professor, Govt. Chengalpattu Medical College and Hospital TamilNadu
- 2. Assistant Surgeon, Kothakondapallli, Krishnagiri
- 3. Associate Professor, Govt. Mohan Kumaramangalam Medical College and Hospital, Salem
Description
Objective: To identify severe acute malnutrition by using mid upper arm circumference alone as per WHO cut offs. Methods: Cross sectional study conducted at Institute of Child Health and Hospital for children and ICDS centres, Chennai district for the period of one year from 2020 to 2021. Results: Among 1432 screened children 531 babies found to be severe acute malnutrition as per WHO Z Scoring. Among them 154 have less than 11.5 cms. It found to have low sensitivity of 28.63% and specificity of 99.78%. The positive predictive value was 98.7% and the negative predictive value was 70.34%, with an accuracy of 73.39%. Conclusion: MUAC alone cannot be taken as indicator of severe acute malnutrition, 29%SAM only can be identified by MUAC in this study. The sensitivity of mid upper arm circumference can be improved by increasing cut –off values.
Abstract (English)
Objective: To identify severe acute malnutrition by using mid upper arm circumference alone as per WHO cut offs. Methods: Cross sectional study conducted at Institute of Child Health and Hospital for children and ICDS centres, Chennai district for the period of one year from 2020 to 2021. Results: Among 1432 screened children 531 babies found to be severe acute malnutrition as per WHO Z Scoring. Among them 154 have less than 11.5 cms. It found to have low sensitivity of 28.63% and specificity of 99.78%. The positive predictive value was 98.7% and the negative predictive value was 70.34%, with an accuracy of 73.39%. Conclusion: MUAC alone cannot be taken as indicator of severe acute malnutrition, 29%SAM only can be identified by MUAC in this study. The sensitivity of mid upper arm circumference can be improved by increasing cut –off values.
Files
IJPCR,Vol15,Issue7,Article144.pdf
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Additional details
Dates
- Accepted
-
2023-06-28
Software
- Repository URL
- https://impactfactor.org/PDF/IJPCR/15/IJPCR,Vol15,Issue7,Article144.pdf
- Development Status
- Active
References
- 1. WHO, UNICEF,and SCN Food and Nutrition Bulletin, Volume 27, Number 3, September 2006 (supplement – SCN Nutrition Policy Paper no 21). 2. National Family Health Survey (Internet) (Cited 2014 sep 3) http:// www.rchiips.org/nfhs/nfhs3/_national_report.s html 3. WHO Expert Committee Report. Physical Status: the use and Interpretation of Anthropometry. Geneva, Switzerland: World Health Organization: 1995. Technical report series 854. 4. Emmanuel Grellety, Michel H. Golden Weight for height and mid-upper-arm circumference should be used independently to diagnose acute malnutrition: policy implications Grellety and Golden BMC Nutrition. 2016; 2:10. 5. Laillou A, Prak S, deGroot R, et al, optimal screening of children with acute malnutrition requires a change in current WHO guidelines as MUAC and WHZ identify different patient groups PLoS one. 2014; 9:0. 6. R Sougajjam, SS Gupta, AV Raut, MS Bharamble and BS Garg et al, Validating the MUAC (Mid-Upper arm circumference) cutoff for detection of Severe Acute Malnutrition in children Aged 6-59 months in Rural Maharashtra. 7. World Health Organization. WHO Child Growth Standards and the identification of severe acute Malnutrition in Infants and Children: A joint Statement by the World Health Organization and the United Nations Children's Fund: World Health Organization and and the United Nations Children's Fund; World Health Organization (WHO); 2009. 8. Fernandez MA, Delchevalerie P, Van Herp M. Accuracy of MUAC in the detection of severe wasting with the new WHO standards Pediatrics. 2010; 126:195-201.