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Proposal of MUAC as a fast tool to monitor pregnancy nutritional status: results from a cohort study in Brazil

OBJECTIVE: In Brazil, although the assessment of maternal nutritional status is recommended using body mass index (BMI), this is only possible in settings adequately prepared. Midupper arm circumference (MUAC) is another biological variable identified as a tool for rapid assessment of nutritional st...

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Detalles Bibliográficos
Autores principales: Miele, Maria J, Souza, Renato T, Calderon, IMP, Feitosa, Francisco, Leite, Debora F, Rocha Filho, Edilberto, Vettorazzi, Janete, Mayrink, Jussara, Fernandes, Karayna G, Vieira, Matias C, Pacagnella, Rodolfo C, Cecatti, Jose Guilherme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149442/
https://www.ncbi.nlm.nih.gov/pubmed/34031116
http://dx.doi.org/10.1136/bmjopen-2020-047463
Descripción
Sumario:OBJECTIVE: In Brazil, although the assessment of maternal nutritional status is recommended using body mass index (BMI), this is only possible in settings adequately prepared. Midupper arm circumference (MUAC) is another biological variable identified as a tool for rapid assessment of nutritional status that is correlated with BMI. Therefore, we aim to surrogate BMI by MUAC cut-offs for rapid screening of maternal nutritional status starting at midpregnancy. DESIGN: Analysis of the multicentre cohort study entitled ‘Preterm SAMBA’ using an approach of validation of diagnostic test. SETTING: Outpatient prenatal care clinics from five tertiary maternity hospitals from three different Brazilian regions. PARTICIPANTS: 1165 pregnant women attending prenatal care services from 2015 to 2018 and with diverse ethnic characteristics who were enrolled at midpregnancy and followed in three visits at different gestational weeks. PRIMARY AND SECONDARY OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values, likelihood ratio and accuracy of MUAC being used instead of BMI for the assessment of nutritional status of women during pregnancy. RESULTS: We found a strong correlation between MUAC and BMI, in the three set points analysed (r=0.872, 0.870 and 0.831, respectively). Based on BMI categories of nutritional status, we estimated the best MUAC cut-off points, finding measures according to each category: underweight <25.75 cm (19–39 weeks); overweight 28.11–30.15 cm (19–21 weeks), 28.71–30.60 cm (27–29 weeks) and 29.46–30.25 cm (37–39 weeks); and obese >30.15 cm (19–21 weeks), >30.60 cm (27–29 weeks) and >30.25 cm (37–39 weeks) per gestational week. Therefore, we defined as adequate between 25.75–28.10 cm (19–21 weeks), 25.75–28.70 cm (27–29 weeks) and 25.75–29.45 cm (37–39 weeks) of MUAC. CONCLUSION: We conclude that MUAC can be useful as a surrogate for BMI as a faster screening of nutritional status in pregnant women.