R Sougaijam1, S S Gupta2, A V Raut2, M S Bharambe2, B S Garg2. 1. Department of Community Medicine, Dr Sushila Nayar School of Public Health, Mahatma Gandhi Institute of Medical Sciences Sewagram, Wardha, Maharashtra, India. Correspondence to: Dr Reshma Sougaijam, Wangkhei khunou, Ward no. 22, Imphal - 795001, Manipur, India. reshmasougaijam@gmail.com. 2. Department of Community Medicine, Dr Sushila Nayar School of Public Health, Mahatma Gandhi Institute of Medical Sciences Sewagram, Wardha, Maharashtra, India.
Abstract
OBJECTIVE: To review the Mid-upper arm circumference (MUAC) cut-off currently being used to identify Severe Acute Malnutrition (SAM) as currently defined using Weight-for-Height. METHODS: Cross-sectional study conducted in 24 villages of a Primary Health Centre in Wardha district of Maharashtra among 2650 children between the ages of 6 to 59 months. RESULTS: For identifying SAM, sensitivity of MUAC was 23.5% and specificity was 99.7% for cut-off <11.5 cm. Using Youden index, best Mid-upper arm circumference cut-off point to identify SAM was <13 cm with sensitivity of 74.5% and specificity of 92.7%. Using Receiver operating characteristics curve, best MUAC cut-off point was 12.8 cm with 74.5% sensitivity and 92.7% specificity. Area under curve was 0.88 (95%CI: 0.85-0.91). CONCLUSION: The current MUAC cut-off of <11.5 cm for detecting SAM needs to be increased to ensure that children, who need referral for management of malnutrition, are not missed.
OBJECTIVE: To review the Mid-upper arm circumference (MUAC) cut-off currently being used to identify Severe Acute Malnutrition (SAM) as currently defined using Weight-for-Height. METHODS: Cross-sectional study conducted in 24 villages of a Primary Health Centre in Wardha district of Maharashtra among 2650 children between the ages of 6 to 59 months. RESULTS: For identifying SAM, sensitivity of MUAC was 23.5% and specificity was 99.7% for cut-off <11.5 cm. Using Youden index, best Mid-upper arm circumference cut-off point to identify SAM was <13 cm with sensitivity of 74.5% and specificity of 92.7%. Using Receiver operating characteristics curve, best MUAC cut-off point was 12.8 cm with 74.5% sensitivity and 92.7% specificity. Area under curve was 0.88 (95%CI: 0.85-0.91). CONCLUSION: The current MUAC cut-off of <11.5 cm for detecting SAM needs to be increased to ensure that children, who need referral for management of malnutrition, are not missed.