ORIGINAL | ORIGINALPerfis metabólico e nutricional como preditores da síndrome da apneia obstrutiva do sono Metabolic and nutritional status as predictors of obstructive sleep apnea syndrome R E S U M O ObjetivoCorrelacionar os perfis metabólico e nutricional com a presença e gravidade da síndrome da apneia obstrutiva do sono. MétodosEstudo transversal com pacientes adultos e idosos, de ambos os sexos, atendidos no Laboratório do Sono e Coração do Pronto Socorro Cardiológico Universitário de Pernambuco, entre junho e setembro de 2014. Os pacientes se submeteram à polissonografia, à bioimpedância elétrica e a aferições antropométricas. Foram verificadas a presença da síndrome metabólica e outras morbidades. ResultadosA amostra total foi constituída por 50 pacientes, com idade média de 57,52±9,80 anos, sendo que 94% receberam diagnóstico de síndrome da apneia obstrutiva do sono e 74% possuíam síndrome metabólica. As seguintes médias foram obtidas: índice de massa corporal (31,54±5,82 kg/m 2 ); circunferência do pescoço (39,14±4,33 cm); circunferência da cintura (106,72±11,22 cm); diâmetro abdominal sagital (23,00 cm [21,00] mais elevados (p<0,05) entre os pacientes com síndrome da apneia obstrutiva do sono grave, quando comparados aqueles com a forma leve. O diâmetro abdominal sagital apresentou moderada correlação com o índice de apneia e hipopneia e a gordura corporal apresentou fraca correlação. ConclusãoA obesidade, a circunferência do pescoço, o diâmetro abdominal sagital e a síndrome metabólica tiveram associação positiva com a gravidade da síndrome da apneia obstrutiva do sono. Dentre os parâmetros antropométricos avaliados, o diâmetro abdominal sagital mostrou ser o mais adequado preditor para avaliar a presença e gravidade da síndrome da apneia obstrutiva do sono.Palavras-chave: Antropometria. Apneia do sono tipo obstrutiva. Bioimpedância elétrica. Diâmetro abdominal sagital. A B S T R A C T ObjectiveTo compare metabolic and nutritional profiles with the presence and severity of obstructive sleep apnea syndrome. Methods This cross-sectional study included male and female adults and older adults treated at the Sleep and Heart Laboratory of Pernambuco Cardiologic Emergency Medical Services between June and September 2014. Patients underwent polysomnography, bioelectrical impedance analysis, and anthropometric measurements. Presence of the metabolic syndrome and other morbidities was investigated. Results The
Introducción: en los últimos años la importancia de identificar la resistencia a la insulina (RI) en pacientes con enfermedades cardiovasculares isquémicas viene siendo debatida. Métodos alternativos, como los indicadores antropométricos y de composición corporal, han sido señalados como una buena opción y contribuyen para identificar anomalías metabólicas y prevenir complicaciones.Objetivo: asociar indicadores antropométricos y de composición corporal como predictores de la resistencia a la insulina (RI) en pacientes con enfermedad de las arterias coronarias.Métodos: estudio transversal realizado en el hospital de referencia cardiológica de Pernambuco, en el periodo de junio a septiembre de 2014, con pacientes adultos y ancianos hospitalizados, de ambos sexos. Se verificaron los siguientes parámetros: estilo de vida, la presencia del síndrome metabólico (SM) y otras comorbilidades. Se analizó la RI por el cálculo del HOMA-IR. Los pacientes se sometieron a la impedancia bioeléctrica (BIA) y a las verificaciones antropométricas.Resultados: la muestra fue constituida por 75 pacientes con edad media de 63,75 ± 12,43 años, con un 64% de ancianos. Se encontró el diagnóstico de SM en el 65,3% de los pacientes, el 81,3% de sedentarios y el 37,4% con exceso de peso. Se diagnosticó la RI en el 28% de los pacientes. Se observó correlación entre el HOMA-IR y el diámetro abdominal sagital (DAS) (r = 0,476; p = 0,016), el índice de masa corporal (r = 0,233; p = 0,040) y el porcentual de grasa corporal (r = 0,276; p = 0,016).Conclusión: el DAS fue el indicador antropométrico que presentó mejor correlación con la RI en pacientes con enfermedad de las arterias coronarias hospitalizados.
BACKGROUND: Fat, muscle, and bone are endocrine organs capable of affecting the metabolic profile and cardiovascular risk. Relating these components is important to the establishment of early intervention strategies for overweight patients. AIMS: This study aimed to evaluate the influence of body mass components on the metabolic profile and cardiovascular risk in the preoperative period of bariatric surgery. METHODS: A cross-sectional study was conducted with patients admitted for bariatric surgery at a university hospital in the city of Recife, Brazil, between 2018 and 2019. Body composition was determined using dual-energy x-ray absorptiometry. Cardiovascular risk was assessed using the Framingham risk score. Data were collected on anthropometric, clinical, and lifestyle characteristics. The lipid profile (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides), blood glucose, and vitamin D were determined using the standard methods of the hospital laboratory. RESULTS: A total of 60 patients were analyzed, 86.7% of whom had comorbidities, 33.3% had moderate/high cardiovascular risk, and 71.4% had vitamin D insufficiency/deficiency. Lower lean body mass (adjusted PR 3.24; 95%CI 1.19–5.77) was independently associated with the severity of obesity. The body mass index and waist circumference were negatively correlated with lean body mass (r=-0.52; p<0.01)/r=-0.36; p<0.01). Lean body mass was negatively correlated with fat mass (r=-0.26; p<0.05), trunk fat (r=-0.29; p<0.05), fasting glucose (r=-0.26; p<0.05), and bone mineral density (r=-0.26; p<0.05). A total of 84.2% of individuals with less trunk fat tended to have low cardiovascular risk (p=0.05). However, physical inactivity (adjusted PR 2.14; 95%CI 1.19–5.54) and the risk of alcohol dependence (adjusted PR 2.41; 95%CI 1.76–4.15) were the only variables independently associated with cardiovascular risk. CONCLUSION: Obese patients in the preoperative period of bariatric surgery with less trunk fat tended to have low cardiovascular risk. However, the other components of body mass were also not associated with cardiovascular risk.
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