Human Genome Polymorphisms and Computational Intelligence Approach Revealed a Complex Genomic Signature for COVID-19 Severity in Brazilian Patients.

We present a genome polymorphisms/machine learning approach for severe COVID-19 prognosis. Ninety-six Brazilian severe COVID-19 patients and controls were genotyped for 296 innate immunity loci. Our model used a feature selection algorithm, namely recursive feature elimination coupled with a support vector machine, to find the optimal loci classification subset, followed by a support vector machine with the linear kernel (SVM-LK) to classify patients into the severe COVID-19 group. The best features that were selected by the SVM-RFE method included 12 SNPs in 12 genes: PD-L1, PD-L2, IL10RA, JAK2, STAT1, IFIT1, IFIH1, DC-SIGNR, IFNB1, IRAK4, IRF1, and IL10. During the COVID-19 prognosis step by SVM-LK, the metrics were: 85% accuracy, 80% sensitivity, and 90% specificity. In comparison, univariate analysis under the 12 selected SNPs showed some highlights for individual variant alleles that represented risk (PD-L1 and IFIT1) or protection (JAK2 and IFIH1). Variant genotypes carrying risk effects were represented by PD-L2 and IFIT1 genes. The proposed complex classification method can be used to identify individuals who are at a high risk of developing severe COVID-19 outcomes even in uninfected conditions, which is a disruptive concept in COVID-19 prognosis. Our results suggest that the genetic context is an important factor in the development of severe COVID-19.

Body mass index in individuals with HIV infection and factors associated with thinness and overweight/obesity.

A cross-sectional study was conducted using body mass index (BMI) to estimate the prevalence of thinness and overweight/obesity and associated factors in 2,018 individuals with HIV/AIDS attending health services referral centers. The dependent variable was classified as thinness, overweight/obesity and eutrophy. Multinomial logistic regression analyses were performed considering eutrophy as the reference level. The prevalence of thinness was 8.8% and of overweight/obesity, 32.1%. The variables associated with thinness were anemia and CD4 cell count < 200mm³. The variables associated with risk of overweight/obesity were age > 40 years and diabetes, and the variables identified as decreasing likelihood of overweight/obesity were having no long-term partner, smoking, presence of an opportunistic disease, anemia, and albumin levels < 3.5mg/dL. The main nutritional problem observed in this population was overweight and obesity, which were much more prevalent than thinness. Older individuals with diabetes should be targeted for nutritional interventions and lifestyle changes.

Body mass index in individuals with HIV infection and factors associated with thinness and overweight/obesity / Índice de massa corporal em indivíduos com infecção pelo HIV e fatores associados com magreza e sobrepeso/obesidade

A cross-sectional study was conducted using body mass index (BMI) to estimate the prevalence of thinness and overweight/obesity and associated factors in 2,018 individuals with HIV/AIDS attending health services referral centers. The dependent variable was classified as thinness, overweight/obesity and eutrophy. Multinomial logistic regression analyses were performed considering eutrophy as the reference level. The prevalence of thinness was 8.8 percent and of overweight/obesity, 32.1 percent. The variables associated with thinness were anemia and CD4 cell count < 200mm³. The variables associated with risk of overweight/obesity were age > 40 years and diabetes, and the variables identified as decreasing likelihood of overweight/obesity were having no long-term partner, smoking, presence of an opportunistic disease, anemia, and albumin levels < 3.5mg/dL. The main nutritional problem observed in this population was overweight and obesity, which were much more prevalent than thinness. Older individuals with diabetes should be targeted for nutritional interventions and lifestyle changes.

Estudo seccional para estimar a prevalência de magreza e sobrepeso/obesidade e fatores associados em 2.018 indivíduos com HIV/AIDS, atendidos em serviços de referência em Recife, Pernambuco, Brasil, utilizando o índice de massa corporal. A variável dependente foi classificada como magreza, sobrepeso/obesidade e eutrofia. Realizou-se análise de regressão logística multinomial considerando-se como referência os eutróficos. A prevalência de magreza foi de 8,8 por cento e a de sobrepeso/obesidade de 32,1 por cento. Permaneceram associados à magreza ter anemia e contagem de células TCD4 < 200mm³. Os fatores associados à maior chance de sobrepeso/obesidade foram: idade > 40 anos e presença de diabetes, e aqueles inversamente associados com sobrepeso/obesidade: não ter companheiro fixo, tabagismo, história recente de doença oportunista, anemia e níveis de albumina < 3,5mg/dL. O principal desvio nutricional observado foi o sobrepeso/obesidade, superando a magreza. Os indivíduos mais velhos com diabetes devem ser alvos de intervenções nutricionais e de estilo de vida.