TITLE:
Biological Markers of Undernutrition and Risk of Complications in Children Hospitalized at the Teaching Hospital of Brazzaville
AUTHORS:
Christel Mikolélé-Bilombo, Lucie Charlotte Atipo-Ibara Ollandzobo, Steve Vassili Missambou Mandilou, Thibaut Ocko Gokaba Lethso, Clausina Mikolélé-Bilomb Ahoui, Josué Simo Louokdom, Martial Landry Miguel, Etienne Mokondjimobe, Donatien Moukassa, Jean Robert Mabiala-Babela, Ange Antoine Abena, Jean-Rosaire Ibara
KEYWORDS:
Undernutrition, Nutritional Marker, Inflammatory Marker, PINI, Child, Congo
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.10 No.2,
January
30,
2022
ABSTRACT: Introduction: Undernutrition is a condition frequently encountered in pediatrics. It leads to an increased morbidity and mortality regardless of the underlying condition or other risk factors such as age. In countries with limited resources such as ours, the diagnosis of undernutrition is often limited to the clinical presentation, and the contribution of biology is not often taken into account. Objectives: To establish the relationship between anthropometric parameters and biological markers in the diagnosis and classification of undernutrition and to assess the risk of infectious complications during undernutrition in children. Materials and Methods: A cross-sectional study conducted in Brazzaville among undernourished children aged 1 - 59 months between October 2018 and April 2019. Clinical diagnosis was based on WHO growth charts. The CRP, orosomucoid, albumin and transthyretin were obtained using the Cobas c311 analyzer, which enabled the calculation of Prognostic Inflammatory and Nutritional Index (PINI). The comparison of the means of the biological markers used the Student’s t-test, the risk of infectious complications the chi-square. The correlation of the diagnostic value of Z-score weight/height and PINI was also investigated. The significance level was set at 0.05. Results: Of the 95 children enrolled 63 (66.3%) were clinically severely malnourished, including 26 acute (41.3%) and 37 chronic (58.7%). The PINI revealed severe undernutrition in 85 children (89.4%) including 50 acute (58.8%) and 35 chronic (41.2%). CRP and orosomucoid were statistically higher in severe acute undernutrition (p Conclusion: Anthropometric parameters have a front-line advantage for assessing and classifying undernutrition. However, biological markers of undernutrition with PINI should be systematized in the diagnosis and management of undernutrition.