A1C as a diabetes diagnosis method: experience in a coronary ICU.

AIMS: The laboratory diagnosis of diabetes mellitus is traditionally established by measurements of fasting blood glucose, random blood glucose with associated symptoms, and through the oral glucose tolerance test. A single measurement of glycated hemoglobin (A1C) eliminates practical difficulties of the above-mentioned methods. The optimal cut-off values of A1C for the screening of diabetic patients in the context of acute coronary syndrome are being investigated. The aim of this study was to establish a cut-off value for A1C in order to more accurately identify diabetic patients in a group of patients admitted for acute coronary syndrome. METHODS: A prospective study was conducted with 149 patients consecutively admitted for acute coronary syndrome. The diagnosis of diabetes mellitus was established based on a history of the disease or through serial measurements of fasting blood glucose levels on admission and the patients were grouped into diabetic and nondiabetic. A1C values of the two groups were statistically compared to define the optimal cut-off value. RESULTS: Fifty-five (36.91%) patients were diabetic, whereas 94 (63.09%) constituted the nondiabetic group. The cut-off value for A1C with the greatest accuracy to distinguish between the two groups was 6.7%, with sensitivity of 85.45%, specificity of 91.89%, and 88.04% diagnostic accuracy. CONCLUSION: The value of 6.7% for A1C showed good accuracy for the diagnosis of diabetes mellitus in acute coronary syndrome.

A comparison of functional fitness of older Brazilian and American women.

The purpose of this cross-sectional study was to generate a functional-fitness profile for older women from the south of Brazil and to compare their functional profile with an age-matched cohort of American women. The Fullerton Functional Fitness Test (body-mass index, 6-min-walk test, chair sit-and-reach, chair stand, arm curl, and 8-ft up-and-go) was administered to 1,033 participants. Z scores indicate that older American women performed better in all functional tests than age-matched Brazilians. This fact could be explained by the delayed establishment of specific health policies for older adults in Brazil. In conclusion, the findings provide guidelines about the normal variation of functional fitness in older women from the southern region of Brazil. In addition, these data can be used to help identify older women with functional losses, thereby assisting in the diagnosis of early disability.

Influence of overall and abdominal adiposity on C-reactive protein levels in elderly women.

OBJECTIVE: To investigate how overall and abdominal adiposity, measured by waist circumference (WC), body mass index (BMI), and sum of skinfolds (sigmaSK), affect plasma C-reactive protein levels (CRP) in elderly women. METHODS: Study sample consisted of 387 women older than 60 years (mean age 68.9; standard deviation 5.9 years). BMI, WC, sigmaSK, and CRP levels were all measured. One-way ANOVA was performed to detect differences in study variables among the CRP levels investigated. Logistic regression analysis was used to determine the influence of body fat measurements on CRP levels. The significance level was set at p < 0.05. RESULTS: The analysis of variance showed that mean WC was lower in women with normal CRP levels, as compared to those with high CRP levels. Logistic regression analysis examined the influence of BMI, WC, and sigmaSK quartiles on CRP levels, yielding the following results: only WC was predictive of elevated CRP levels, its highest quartile (cut-off point of 94.0 cm) showing levels nearly two times higher than its lowest quartile (odds ratio = 2.23; 95% confidence interval = 1.92-4.18; p = 0.012). CONCLUSION: The results of this study indicate that abdominal adiposity is a strong predictor of elevated CRP levels.

Association between lipid profile and adiposity in women over age 60.

OBJECTIVE: To verify the association between lipid profiles and overall or central obesity in women over the age of 60. METHODS: The sample was comprised of 388 women over the age of 60 (mean 69; standard deviation 5.9 years). The lipid profile was determined using total cholesterol (TC), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C) and triglyceride (TG) levels. Overall obesity was determined using the body mass index (BMI) and skin fold (SF) measurements. Central obesity was determined using the waist circumference (WC) and waist--hip ratio (WHR). Statistical analysis was conducted using age adjusted partial correlation and one way ANOVA (p<0.05). RESULTS: The mean values found for the adiposity variables and lipid profile components indicate an elevated atherogenic risk. In addition, the indicators for overall and central obesity were directly related to TG levels and inversely related to HDL-C levels. CONCLUSION: The partial correlation analysis and the largest variance found for WC and WHR in comparison to the lipidogram components indicate that both methods could be useful in the early diagnosis of atherosclerosis.

Influência da adiposidade global e da adiposidade abdominal nos níveis de proteína C-reativa em mulheres idosas / Influence of overall and abdominal adiposity on C-reactive protein levels in elderly women

OBJETIVO: Examinar como a adiposidade global e a adiposidade abdominal, expressas pela circunferência da cintura (CC), pelo índice de massa corporal (IMC) e pelo somatório de dobras cutâneas (sigmaDC), influenciam os níveis de proteína C-reativa (PCR) em mulheres idosas. MÉTODOS: A amostra foi composta por 387 mulheres idosas, com idade superior a 60 anos (média, 68,9; desvio padrão, 5,9 anos). Foram avaliados o IMC, a CC, o sigmaDC, e os níveis de PCR. Foi utilizada a análise estatística ANOVA one-way para verificar as diferenças nas variáveis entre as categorias investigadas. Para avaliar a influência das medidas de adiposidade nos níveis de PCR foi utilizada a regressão logística. O nível de significância adotado foi de p < 0,05. RESULTADOS: A análise de variância demonstrou que o valor médio da CC foi menor na categoria normal de PCR, quando comparada aos níveis elevados de PCR. A regressão logística analisou a influência dos quartis do IMC, da CC e do sigmaDC nos níveis de PCR, em que apenas a CC foi preditora de níveis elevados de PCR, tendo o quartil extremo superior (ponto de corte de 94,0 cm) apresentado níveis quase duas vezes maiores que o quartil extremo inferior (risco estimado = 2,23; intervalo de confiança de 95 por cento = 1,92-4,18; p = 0,012). CONCLUSÃO: Os resultados do presente estudo apontam que a adiposidade abdominal é um forte preditor de níveis elevados de PCR.

OBJECTIVE: To investigate how overall and abdominal adiposity, measured by waist circumference (WC), body mass index (BMI), and sum of skinfolds (sigmaSK), affect plasma C-reactive protein levels (CRP) in elderly women. METHODS: Study sample consisted of 387 women older than 60 years (mean age 68.9; standard deviation 5.9 years). BMI, WC, sigmaSK, and CRP levels were all measured. One-way ANOVA was performed to detect differences in study variables among the CRP levels investigated. Logistic regression analysis was used to determine the influence of body fat measurements on CRP levels. The significance level was set at p < 0.05. RESULTS: The analysis of variance showed that mean WC was lower in women with normal CRP levels, as compared to those with high CRP levels. Logistic regression analysis examined the influence of BMI, WC, and sigmaSK quartiles on CRP levels, yielding the following results: only WC was predictive of elevated CRP levels, its highest quartile (cut-off point of 94.0 cm) showing levels nearly two times higher than its lowest quartile (odds ratio = 2.23; 95 percent confidence interval = 1.92-4.18; p = 0.012). CONCLUSION: The results of this study indicate that abdominal adiposity is a strong predictor of elevated CRP levels.

Associação entre perfil lipídico e adiposidade corporal em mulheres com mais de 60 anos de idade / Association between lipid profile and adiposity in women over age 60

OBJETIVO: Verificar a associação entre perfil lipídico e medidas de obesidade corporal global e central em mulheres com idade superior a 60 anos. MÉTODOS: A amostra foi composta por 388 mulheres, com mais de 60 anos de idade (média, 69,0; desvio padrão, 5,9 anos). O perfil lipídico foi determinado por meio das dosagens de colesterol total (CT), colesterol de lipoproteína de alta densidade (HDL-colesterol), colesterol de lipoproteína de baixa densidade (LDL-colesterol) e triglicerídeos (TG). A obesidade global foi mensurada pelo índice de massa corporal (IMC) e pelas dobras cutâneas (DC), e a obesidade central foi mensurada pela circunferência da cintura (CC) e pela relação cintura-quadril (RCQ). A análise estatística foi realizada por meio da correlação parcial ajustada para a idade e ANOVA one-way (p < 0,05). RESULTADOS: Os valores médios encontrados nas variáveis de adiposidade corporal e nos componentes do perfil lipídico indicam elevado risco aterogênico. Além disso, os indicadores de obesidade tanto global como central foram diretamente associados com os níveis de TG e inversamente associados com os níveis de HDL-colesterol. CONCLUSÃO: A análise de correlação parcial e a maior variância encontrada na CC e na RCQ com os componentes do lipidograma sugerem que ambos os métodos podem auxiliar no diagnóstico precoce da aterosclerose.

OBJECTIVE: To verify the association between lipid profiles and overall or central obesity in women over the age of 60. METHODS: The sample was comprised of 388 women over the age of 60 (mean 69; standard deviation 5.9 years). The lipid profile was determined using total cholesterol (TC), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C) and triglyceride (TG) levels. Overall obesity was determined using the body mass index (BMI) and skin fold (SF) measurements. Central obesity was determined using the waist circumference (WC) and waist - hip ratio (WHR). Statistical analysis was conducted using age adjusted partial correlation and one way ANOVA (p<0.05). RESULTS: The mean values found for the adiposity variables and lipid profile components indicate an elevated atherogenic risk. In addition, the indicators for overall and central obesity were directly related to TG levels and inversely related to HDL-C levels. CONLCUSION: The partial correlation analysis and the largest variance found for WC and WHR in comparison to the lipidogram components indicate that both methods could be useful in the early diagnosis of atherosclerosis.