Marshall Sarah K, Monárrez-Espino Joel, Eriksson Anneli
Department of Public Health Sciences, Karolinska Institutet, Solnavägen 1, 171 77 Solna, Sweden.
Coordination for Health Research. Christus LatAm Hub - Center for Excellence and Innovation, 66260 Monterrey, Nuevo León, Mexico.
Nutr Res Pract. 2019 Jun;13(3):247-255. doi: 10.4162/nrp.2019.13.3.247. Epub 2019 May 31.
BACKGROUND/OBJECTIVES: Accurate, early identification of acutely malnourished children has the potential to reduce related child morbidity and mortality. The current World Health Organisation (WHO) guidelines classify non-oedematous acute malnutrition among children under five using Mid-Upper Arm Circumference (MUAC) or Weight-for-Height Z-score (WHZ). However, there is ongoing debate regarding the use of current MUAC cut-offs. This study investigates the diagnostic performance of MUAC to identify children aged 6-24 months with global (GAM) or severe acute malnutrition (SAM).
SUBJECTS/METHODS: Cross-sectional, secondary data from a community sample of children aged 6-24 months in Niger were used for this study. Children with complete weight, height and MUAC data and without clinical oedema were included. Using WHO guidelines for GAM (WHZ < -2, MUAC < 12.5 cm) and SAM (WHZ < -3, MUAC < 11.5 cm), the sensitivity (Se), specificity (Sp), predictive values, Youden Index and Receiver Operating Characteristic (ROC) curves were calculated for MUAC when compared with the WHZ reference criterion.
Of 1161 children, 23.3% were diagnosed with GAM using WHZ, and 4.4% with SAM. Using current WHO cut-offs, the Se of MUAC to identify GAM was greater than for SAM (79 vs. 57%), yet the Sp was lower (84 vs. 97%). From inspection of the ROC curve and Youden Index, Se and Sp were maximised for MUAC < 12.5 cm to identify GAM (Se 79%, Sp 84%), and MUAC < 12.0 cm to identify SAM (Se 88%, Sp 81%).
The current MUAC cut-off to identify GAM should continue to be used, but when screening for SAM, a higher cut-off could improve case identification. Community screening for SAM could use MUAC < 12.0 cm followed by appropriate treatment based on either MUAC < 11.5 cm or WHZ < -3, as in current practice. While the practicalities of implementation must be considered, the higher SAM MUAC cut-off would maximise early case-finding of high-risk acutely malnourished children.
背景/目的:准确、早期识别急性营养不良儿童有降低相关儿童发病率和死亡率的潜力。世界卫生组织(WHO)现行指南使用中上臂围(MUAC)或身高别体重Z评分(WHZ)对五岁以下儿童的非水肿型急性营养不良进行分类。然而,关于当前MUAC临界值的使用仍存在争议。本研究调查了MUAC用于识别6至24个月大的患有全球急性营养不良(GAM)或重度急性营养不良(SAM)儿童的诊断性能。
对象/方法:本研究使用了来自尼日尔6至24个月大儿童社区样本的横断面二手数据。纳入体重、身高和MUAC数据完整且无临床水肿的儿童。根据WHO关于GAM(WHZ < -2,MUAC < 12.5 cm)和SAM(WHZ < -3,MUAC < 11.5 cm)的指南,将MUAC与WHZ参考标准进行比较时,计算其灵敏度(Se)、特异度(Sp)、预测值、约登指数和受试者工作特征(ROC)曲线。
在1161名儿童中,使用WHZ诊断为GAM的占23.3%,诊断为SAM的占4.4%。使用WHO现行临界值,MUAC识别GAM的Se高于识别SAM的Se(79%对57%),但其Sp较低(84%对97%)。通过检查ROC曲线和约登指数,MUAC < 12.5 cm用于识别GAM时Se和Sp最大化(Se 79%,Sp 84%),MUAC < 12.0 cm用于识别SAM时Se和Sp最大化(Se 88%,Sp 81%)。
应继续使用当前识别GAM的MUAC临界值,但在筛查SAM时,较高的临界值可能会改善病例识别。社区筛查SAM可使用MUAC < 12.0 cm,然后根据当前做法,基于MUAC < 11.5 cm或WHZ < -3进行适当治疗。虽然必须考虑实施的实际情况,但较高的SAM MUAC临界值将最大限度地早期发现高危急性营养不良儿童。