Nonparametric Testing of Body Mass Index as a Predictor of Severe Noma: Assessing Potential Association.

Abstract

Noma, a devastating facial disease, primarily affects impoverished populations in low- and middle-income countries, often leading to severe disfigurement or fatality if untreated. Studies suggest malnutrition is a significant risk factor for noma, yet the association between body mass index (BMI) in kilograms per square meter and tissue damage severity remains underexplored. This study aimed to investigate the relationship between BMI and tissue damage severity among noma cases in Ethiopia. A retrospective analysis of medical records from Facing Africa's database covering noma cases treated between 2007 and 2019 was conducted. A standardized data collection template recorded demographic and clinical data, including patient demographics, BMI, and tissue damage severity levels. JASP statistical software was used for analysis. Analysis of 228 noma cases revealed a mean BMI of 17.8 kg/m2, ranging from 11.5 to 28.3 kg/m2. Females exhibited a higher mean BMI (18.3 kg/m2) than males (16.9 kg/m2). Differences in BMI distributions between major (67) and minor (30) tissue damage categories were observed, with "minor" cases having a slightly higher mean BMI. The study found a statistically significant association between BMI and tissue damage severity (P = 0.03), indicating that tissue damage due to noma worsened as BMI decreased. Nonparametric tests confirmed this association's significance. This study highlights low BMI as a predictor of severe noma. Public health interventions should focus on malnutrition to reduce noma severity and psychosocial and functional morbidity and improve outcomes. However, additional factors influencing the progression of noma and the severity of associated tissue damage require further investigation.