Circunferência do pescoço como indicador de risco cardiovascular em pacientes renais crônicos em hemodiálise / Neck circumference as indicator of cardiovascular risk in patients in dialysis for chronic kidney disease

Introdução: Portadores de doença renal crônica (DRC) são frequentemente acometidos por doenças cardiovasculares (DCV). Nesse contexto, a circunferência do pescoço (CP) surge como parâmetro promissor para avaliação do risco cardiovascular (RCV) na DRC. Objetivo: Avaliar a CP como um parâmetro indicativo de RCV em pacientes renais crônicos em hemodiálise (HD), relacionando-a com variáveis antropométricas e bioquímicas associadas aos desfechos cardiometabólicos. Métodos: Estudo transversal, com pacientes adultos e idosos, de ambos os sexos, portadores de DRC em HD, cadastrados no Setor de Nefrologia do Hospital Barão de Lucena, Recife - PE. Foram obtidas variáveis demográficas, socioeconômicas, clínicas e comportamentais, além de parâmetros antropométricos e bioquímicos relacionados aos eventos cardiometabólicos. A CP identificou o RCV elevado quando ≥37cm para homens e ≥34cm para mulheres. As análises estatísticas foram conduzidas no programa Statistical Package for the Social Sciences (SPSS) versão 13.0, sendo confirmada significância estatística quando p<0,05. Resultados: A amostra foi composta por 40 indivíduos, com idade média de 54,4±14,7 anos e 72,5% (n=29) do sexo masculino. A CP evidenciou 55,0% (n=22) de pacientes com alto RCV, estando associada significativamente com o sexo masculino e com as classes econômicas B e C. Foram constatadas correlações positivas entre a CP e demais parâmetros antropométricos (índice de massa corporal, circunferência da cintura, razão cintura/estatura e razão cintura/quadril) e correlação negativa entre a CP e o HDL-Colesterol. Conclusão: A CP mostrou-se como bom método para identificação do RCV em pacientes renais crônicos em HD, correlacionando-se com variáveis antropométricas e bioquímicas associadas aos desfechos cardiometabólicos

Introduction: Individuals with chronic kidney disease are often affected by cardiovascular disease. Neck circumference (NC) is a promising variable for the evaluation of cardiovascular risk in these patients. Objective: Evaluate NC as an indicator of cardiovascular risk in patients with chronic kidney disease undergoing dialysis, relating this measure to anthropometric and biochemical variables associated with cardiometabolic outcomes. Methods: A cross-sectional study was conducted with adult patients with chronic kidney disease undergoing dialysis at the Nephrology Center of the Barão de Lucena Hospital in Recife, Brazil. Demographic, socioeconomic, clinical and behavioral characteristics were recorded, along with anthropometric and biochemical variables related to cardiometabolic events. High cardiovascular risk was identified when NC was ≥37cm in men and ≥34cm in women. Statistical analysis involved the SPSS 13.0 program, with a p-value<0.05 indicative of statistical significance. Results: Forty individuals participated (72.5% males; mean age: 54.4 ± 14.7). NC identified 55.0% (n=22) of the patients with high cardiovascular risk and was associated with the male sex as well as economic classes B and C. Positive correlations were found between NC and other anthropometric variables (body mass index, waist circumference, waist/height ratio and waist/hip ratio) and a negative correlation was found between NC and HDL cholesterol. Conclusion: NC proved to be a good method for identifying cardiovascular risk in patients undergoing dialysis for chronic kidney disease and was correlated with anthropometric and biochemical variables associated with cardiometabolic outcomes

No disponible

[Lipid and glucose profiles in outpatients and their correlation with anthropometric indices]. / Perfil lipídico e glicídico de pacientes atendidos em ambulatório e sua correlação com índices antropométricos.

INTRODUCTION AND OBJECTIVE: Obesity is associated with high rates of dyslipidemia and glucose intolerance. The objective of this study was to evaluate the correlation of anthropometric indices with the lipid and glucose profiles of outpatients. METHODS: We performed a cross-sectional study assessing anthropometric and metabolic parameters in a sample of 550 individuals. RESULTS: The prevalence of overweight exceeded 80%, with no difference between the sexes. However, 80.9% of women vs. 52.1% of men had waist circumference in the very high risk range (P=000). Glucose and lipid abnormalities were found in over 40% of the sample. In men, no correlation was found between anthropometric indices and metabolic profile. In women, HDL cholesterol was negatively correlated with body mass index waist circumference and waist-to-height ratio. Triglycerides were positively correlated with body mass index, waist circumference and waist-to-height ratio and fasting plasma glucose with waist circumference and waist-to-height ratio. After adjustment for age and nutritional status, the correlations only remained significant between HDL cholesterol and anthropometric indices. CONCLUSIONS: Among women, the anthropometric indices waist circumference, waist-to-height ratio and body mass index proved good predictors of HDL cholesterol, showing the importance of using these parameters in clinical practice and for screening of cardiovascular risk.