The use of antiretroviral drugs has increased the survival of HIV patients, but may have side effects, such as lipodystrophic syndrome. This article aims to identify the frequency of the lipodystrophic syndrome and its associated factors in patients with HIV using antiretroviral therapy. It involved a cross-sectional study with HIV patients, monitored on an outpatient basis. The syndrome was evaluated by the association of two parameters: peripheral weight loss through the lipodystrophy severity scale and central fat accumulation, measured by the hip waist ratio. Poisson regression analysis was performed to identify the associated variables. Of the 104 patients evaluated, 27.9% presented the syndrome. After adjustment, the female sex (PR adjusted = 2.16 CI 95% 1. 43-3.39), being overweight (PR adjusted = 2.23 CI 95% 1. 35-2.65) and a longer period of use of antiretrovirals (PR adjusted = 1.64 CI 95% 1.16-2.78), remained positively associated with the syndrome. On the other hand, a negative association with CD4 count £ 350 (PR adjusted = 0.39 CI 95% 0.10-0.97) was observed The high prevalence of the syndrome and its association with specific groups reinforce the need for adequate follow-up and early identification to intervene in modifiable factors.
Objetivos: descrever a prevalência de risco nutricional e verificar a associação da ferramenta de triagem nutricional STRONGkids com os índices antropométricos de peso para idade (P/I), estatura para idade (E/I) e IMC para idade (IMC/I) em pacientes pediátricos. Métodos: estudo transversal e analítico, realizado de abril a outubro de 2015, com 201 pacientes clínicos e cirúrgicos admitidos na enfermaria pediátrica de um hospital universitário no Nordeste brasileiro. A classificação do estado nutricional foi realizada por meio dos escores-z para os índices P/I, E/I e IMC/I e percentis para a circunferência braquial (CB). A ferramenta STRONGkids foi utilizada para determinar o risco de desnutrição. Resultados: a ferramenta STRONGkids revelou que 40,8% dos pacientes apresentaram risco moderado e 4,5%, alto risco para desnutrição. A STRONGkids teve associação significativa com a antropometria, uma vez que, quanto maior o risco nutricional, piores os índices antropométricos que avaliam desnutrição aguda e crônica. Conclusão: os resultados suportam o uso da ferramenta STRONGkids para identificar o risco nutricional em pacientes pediátricos internados, uma vez que a ferramenta mostrou associação com os parâmetros antropométricos de avaliação nutricional.
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