Association between serum transaminase levels and insulin resistance in euthyroid and non-diabetic adults.

AIM: To evaluate the association between elevated serum transaminase levels and insulin resistance (IR) in a population of healthy individuals. METHODS: We define IR with a cut-off point of homeostatic model assessment (HOMA-IR) ≥ 3.8. For aspartate aminotransferase (AST), we consider elevated values >30 U/L in women and values >36 U/L in men. For alanine aminotransferase (ALT), we consider elevated values >30 U/L in women and values >40 U/L in men. We performed a crude and adjusted generalized linear model from Poisson family with robust variance, in order to evaluate the association between elevated serum transaminase levels and IR. The associations were presented as prevalence ratio (PR) with their respective 95% confidence intervals (95% CI). RESULTS: We included 261 participants in the study. The median age was 39 years (31-45) and 23.7% of the participants were men. The prevalence of elevated serum transaminase for AST and ALT were, 13.8% and 26.1%, respectively. The prevalence of IR was 34.1%. In the crude analysis we found statistical significance between elevated AST and ALT with IR (PR = 3.18; 95% CI: 2.33-4.34 and PR = 2.44; 95% CI: 1.88-3.30; respectively). However, in the multivariate analysis, the association only remained statistically significance with ALT, but lost its significance with AST, PR = 1.90; CI 95%: 1.31-2.77 and a PR = 1.23; CI 95%: 0.93-1.61; respectively. CONCLUSION: Elevated serum levels of ALT were associated with insulin resistance. ALT could be used in clinical practice as an additional tool to assess IR in apparently healthy people.

Relationship between body fat percentage and insulin resistance in adults with Bmi values below 25 Kg/M2 in a private clinic.

AIM: To evaluate the association between elevated body fat percent (BF%) and the prevalence of insulin resistance (IR) in the adult population with body mass index (BMI) in the normal values. METHODS: We carry out an analytical cross-sectional study. The participants attended outpatient from 2012 to 2016 in a private clinic in Lima-Peru between 18 and 60 years with a BMI between 19 and 24.9/Kg/m2. We defined elevated BF% if the values were greater than 25% in men and 30% in women and IR with a cut-off point of HOMA-IR based in the 75th percentile. We performed a generalized linear model from family Poisson (crude and adjusted) with robust standard errors to evaluate the association between BF% and the IR. We reported as association measure the prevalence ratio (PR) with their respective 95% confidence intervals (CI). RESULTS: We included 284 participants, the average age was 33.77 ±â€¯10.86 (SD) years and the percentage of women was 88.1%. The prevalence of elevated BF% was 71.13% and the prevalence of IR was 25%. We found an association between the elevated BF% and IR, PR = 3.17; 95% CI: 1.46-6.91. CONCLUSIONS: Body fat percentage seems to be a good indicator of IR in patients with normal BMI and without endocrine comorbidities. Longitudinal prospective studies are recommended to corroborate our findings.

Association between vitamin D deficiency and insulin resistance markers in euthyroid non-diabetic individuals.

AIM: To evaluate the association between vitamin D deficiency and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in euthyroid non-diabetic individuals. MATERIALS AND METHODS: We carried out an analytical cross-sectional study in euthyroid non-diabetic adults of both sexes, who attended the outpatient service of a private clinic in Lima-Peru during the 2012-2016 period. Participants were categorized in two groups according to their serum vitamin D levels: normal vitamin D levels (serum vitamin D values ≥ 20 ng/dL) and vitamin D deficiency (serum vitamin D values < 20 ng/dL). IR was defined as a Homeostasis Model Assessment (HOMA-IR) value ≥ 3.8 and hyperinsulinemia after OGTT was defined as a serum insulin value ≥ 80µU/mL after 120 min of 75-g glucose intake. We elaborated crude and adjusted Poisson regression models to assess the association between serum vitamin D levels and IR or hyperinsulinemia after OGTT. The reported association measure was the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI). RESULTS: We analyzed 204 participants, the average age was 38.5 ±â€¯10.6 (SD) years, 40 (19.6%) were males and the vitamin D median was 25.0 (IQR: 19.0-33.3) ng/dL. The prevalence of vitamin D deficiency, IR and hyperinsulinemia after OGTT was 29.4% (n = 60), 29.9% (n = 61) and 25.0% (n = 51). In the adjusted Poisson regression models, the prevalence of hyperinsulinemia after OGTT was higher among the vitamin D deficient group (aPR=1.75; 95%CI: 1.06-2.90); however, we did not find statistically significant association between vitamin D deficiency and IR (aPR=0.99; 95%CI: 0.61-1.63). CONCLUSIONS: We found an association between vitamin D deficiency and hyperinsulinemia after OGTT in euthyroid people with no T2DM.Our findings are consistent with previous reports; providing evidence that serum vitamin D deficiency could be an IR marker.

Triglycerides and glucose index as an insulin resistance marker in a sample of healthy adults.

AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of healthy adults. METHODS: We conducted an analytical cross-sectional study in euthyroid non-diabetic adults, who attended the outpatient service of a private clinic in Lima-Peru during the 2012-2016 period. Participants were categorized in two groups according to the presence or absence of elevated TGI, IR or hyperinsulinemia after OGTT. A TGI value ≥ 8.65 was considered as elevated. We defined IR as a Homeostasis Model Assessment (HOMA-IR) value ≥ 2.28 and hyperinsulinemia after OGTT as a serum insulin value ≥ 80µU/mL after 120 min of 75-g glucose intake. We elaborated crude and adjusted Poisson regression models to assess the association between elevated TGI and IR or hyperinsulinemia after OGTT. The reported association measure was the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI). RESULTS: We analyzed 118 individuals, the average age was 37.5 ±â€¯11.3 years, 21 (17.8%) were males and the median BMI was 22.7 ±â€¯1.6 kg/m2. The prevalence of elevated TGI was 25.4% (n=30) while the prevalence of IR and hyperinsulinemia after OGTT was 24.6% (n=29) and 17.0% (n=20) respectively. In the adjusted model, elevated TGI was associated with both IR (aPR=6.36; 95%CI: 3.41-11.86) and hyperinsulinemia after OGTT (aPR=4.19; 95%CI: 1.81-9.70). CONCLUSIONS: We found that elevated TGI was associated with both IR markers in a sample of euthyroid adults without T2DM and with a normal BMI. The simplicity of the TGI calculation makes it the first-choice alternative when the hyperinsulinemic-euglycemic clamp or HOMA-IR are not available.

High triglycerides to HDL-cholesterol ratio is associated with insulin resistance in normal-weight healthy adults.

AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in normal-weight healthy adults. METHODS: We carried out an analytical cross-sectional study in euthyroid non-diabetic adults, who attended the outpatient service of a private clinic in Lima-Peru from 2012 to 2016. Participants were divided in two groups according to the presence or absence of high TG/HDL-C ratio, IR or hyperinsulinemia after OGTT. TG/HDL-C ratio values ≥ 3 were considered as high. IR was defined as a Homeostasis Model Assessment (HOMA-IR) value ≥ 2.28 and hyperinsulinemia after OGTT as a serum insulin value ≥ 80µU/mL after 120 min of 75-g glucose intake. We elaborated crude and adjusted Poisson generalized linear models to evaluate the association between high TG/HDL-C ratio and IR or hyperinsulinemia after OGTT and reported the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI). RESULTS: We analyzed the data of 118 individuals. Prevalence of high TG/HDL-C ratio was 17.8% (n = 21) while the prevalence of IR and hyperinsulinemia after OGTT was 24.6% (n = 29) and 17.0% (n = 20), respectively. TG/HDL-C-ratio values were positively correlated with HOMA-IR (r = 0.498; p < 0.01) and serum insulin after OGTT (r = 0.326; p < 0.001). In the adjusted model, high TG/HDL-C ratio was associated with both IR (aPR = 3.16; 95%CI: 1.80-5.77) and hyperinsulinemia after OGTT (aPR = 2.36; 95%CI: 1.20-4.63). CONCLUSIONS: High TG/HDL-C ratio was associated with both IR markers used in our study, appearing to be a clinically useful tool to assess IR in euthyroid normal-weight adults without type 2 diabetes mellitus.

High waist-to-hip ratio levels are associated with insulin resistance markers in normal-weight women.

AIM: To assess the association between high waist-to-hip ratio (WHR) levels and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of normal-weight women. METHODS: We conducted an analytical cross-sectional study in euthyroid non-diabetic women, who attended the outpatient service of a private clinic in Lima-Peru from 2012 to 2016. Participants were divided in two groups according to the presence or absence of high WHR levels, IR or hyperinsulinemia after OGTT. We considered WHR values > 0.85 as high levels. IR was defined as a Homeostasis Model Assessment (HOMA-IR) value > 2.39 and hyperinsulinemia after OGTT as a serum insulin value ≥ 80µU/mL after 120 min of 75-g glucose intake. We elaborated crude and adjusted Poisson generalized linear models to evaluate the association between high WHR levels and IR or hyperinsulinemia after OGTT and reported the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI). RESULTS: We analyzed the data of 248 euthyroid, non-diabetic and normal-weight women. The prevalence of high WHR levels was 68.9% (n = 171) while the prevalence of IR and hyperinsulinemia after OGTT was 25% (n = 62) and 15.3% (n = 38), respectively. WHR values were positively correlated with HOMA-IR (r = 0.307; p < 0.001) and serum insulin after OGTT (r = 0.260; p < 0.001). In the adjusted model, high WHR levels were associated with both IR (aPR = 2.63; 95%CI: 1.39-5.01) and hyperinsulinemia after OGTT (aPR = 2.35; 95%CI: 1.03-5.38). CONCLUSION: High WHR levels were associated with both IR markers used in our study, appearing to be a useful anthropometric indicator to assess IR in euthyroid normal-weight women without type 2 diabetes mellitus.

Association between serum vitamin B12 levels and metabolic syndrome in a euthyroid population.

AIMS: To determine the association between serum levels of vitamin B12 and metabolic syndrome (MetS) in a population of euthyroid adults. MATERIALS AND METHODS: We carried out an analytical cross-sectional study in euthyroid adults of both sexes, who attended the outpatient service of a private clinic in Lima-Peru during the 2012-2016 period. Participants were divided into tertiles (low, intermediate and high) according to their serum vitamin B12 values. MetS was defined when three or more metabolic criteria were met by the participants. We elaborated crude and adjusted Poisson regression models to evaluate the association between the serum vitamin B12 tertiles and the presence of MetS. The reported association measure was the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI). RESULTS: We analyzed 346 participants, the average age was 38.3 ±â€¯10.8 (SD) years, 117 (33.8%) were males, the serum vitamin B12 median was 364.1 (IQR: 274.2-473.4) pmol/L and the prevalence of MetS was 30.1% (n = 104). In the crude Poisson regression model, we found an association between the serum vitamin B12 tertiles and the presence of MetS, with marginal significance. The association gained statistical significance in the adjusted model by potential confounders; and compared with the low serum vitamin B12 tertile, the prevalence of MetS was 36% lower (aPR = 0.64; 95%CI: 0.43-0.96) among the high tertile group. CONCLUSION: Euthyroid participants with elevated levels of serum vitamin B12 showed a lower prevalence of MetS compared to those who had low levels of this marker.

Association between free thyroid hormones values and the lipid profile in middle-aged women with chronic symptoms.

AIMS: To determine the association between the thyroid hormones(FT3, FT4 and TSH) and the lipid profile markers(HDL-c, LDL-c and triglycerides) values in middle-aged women with no metabolic disorders and recurrent chronic symptomatology. MATERIALS AND METHODS: We carried out an analytical cross-sectional study in euthyroid women with recurrent chronic symptoms of at least six months with no apparent diagnosis who attended the endocrinological gynaecology outpatient service of a private clinic in Lima-Peru during 2012-2014. Participants who met the eligibility criteria were evaluated according to their thyroid hormones(FT3, FT4 and TSH) and lipid profile markers(HDL-c, LDL-c and triglycerides) values. We elaborated univariate/multivariate linear regression models to evaluate the association between the thyroid markers and the lipid profile levels. The reported association measure was the beta coefficient(ß) with its respective p-value. RESULTS: We analyzed 211 participants, the average age was 44.9 ±â€¯14.0(SD) years, the FT3 and FT4 mean levels were 3.2 ±â€¯0.4 pg/mL and 1.2 ±â€¯0.2 ng/dL respectively, while the TSH median was 2.8(IQR:1.9-4.0) µU/mL. The mean or median levels of LDL-c, HDL-c and triglycerides were of 137.5 ±â€¯37.9 mg/dL, 54.0 ±â€¯15.0 mg/dL and 118.5(IQR:79.5-169.5) mg/dL respectively. In the multivariate linear regression model between the FT3 and LDL-c levels, we found that for each increase in a FT3 unit, the LDL-c values decreased on average 30.85 mg/dL(p < 0.01). We found no statistically significant associations in the other multivariate models of linear regression, among the other thyroid hormones and lipid markers. CONCLUSION: We found an inverse association between the FT3 and LDL-c values in women with chronic gynaecological symptoms.

High free triiodothyronine and free-triiodothyronine-to-free-thyroxine ratio levels are associated with metabolic syndrome in a euthyroid population.

AIMS: To determine the association between free triiodothyronine (FT3), free thyroxine (FT4) and free-triiodothyronine-to-free-thyroxine ratio (FT3/FT4) levels and Metabolic Syndrome (MetS). MATERIALS AND METHODS: We carried out an analytical cross-sectional study in euthyroid adults of both sexes, who attended the outpatient service of a private clinic in Lima-Peru during the 2014-2016 period. Participants were divided into tertiles (low, intermediate and high) according to their FT3, FT4, and FT3/FT4 ratio values. MetS was defined when three or more metabolic criteria were met by the participants. ROC curves were constructed, and Youden's Index were used to identify the optimal cut-points of each thyroid marker. We elaborated crude/adjusted Poisson regression models to evaluate the association between the thyroid markers and the presence of MetS. The reported association measure was the prevalence ratio (PR) with their respective 95% confidence intervals (95% CI). RESULTS: We analyzed 245 participants, the average age was 38.5 ±â€¯10.3 years, 29.8% were males, and the prevalence of MetS was 31%. In the adjusted Poisson regression models, the prevalence of MetS was higher among the high FT3 tertile compared to the low tertile (aPR = 2.01; 95% CI: 1.22-3.34). The prevalence of MetS was higher among the intermediate FT3/FT4 ratio tertile and the high FT3/FT4 ratio tertile compared to the low tertile, (aPR = 1.78; 95% CI: 1.02-3.10) and (aPR = 2.80; 95% CI: 1.67-4.72); respectively. The highest areas under the curve (AUC) were found for FT3 and FT3/FT4 ratio with areas of 0.654 (95% CI: 0.58-0.73) and 0.649 (95% CI: 0.57-0.72); respectively. CONCLUSION: Elevated levels of FT3 and FT3/FT4 ratio were associated with MetS in a euthyroid population.

High serum ferritin levels are associated with insulin resistance but not with impaired glucose tolerance in a healthy people population.

AIM: To assess the association between elevated serum ferritin levels and the presence of insulin resistance (IR) or impaired glucose tolerance (IGT) in a population of individuals with no endocrine or metabolic disorders background. METHODS: Analytical cross-sectional study, carried out in adults of both sexes with no medical history of type 2 diabetes mellitus (T2DM) or other metabolic or endocrine disorder, who attended the outpatient service of a private clinic in Lima-Peru during 2012-2014 period. Impaired serum ferritin levels were defined as serum ferritin values >300µg/L in men and >200µg/L in women. IR was defined as a Homeostasis Model Assessment (HOMA-IR) value ≥3.8 and IGT was defined as an oral glucose tolerance test (OGTT) value between 126mg/dL and 199mg/dL. The reported association measure was the prevalence ratio (PR) with their respective 95% confidence intervals (95% CI). RESULTS: We analyzed 213 participants, the average age was 35.8±11.1years and 35.7% were males. The prevalence of impaired serum ferritin levels, IR and IGT in the population was 12.7%, 33.3% and 9.9% respectively. In the adjusted Poisson regression models, the prevalence of IR was higher among the group with impaired serum ferritin levels (PR=1.74; 95%CI:1.18-2.56); however, we found no association between impaired serum ferritin levels and IGT (PR=1.42; 95%CI:0.47-4.30). CONCLUSIONS: Impaired levels of serum ferritin are associated with IR, nevertheless, not with IGT in a metabolically healthy population. Serum ferritin could be considered as an early marker of IR prior to the onset of glycaemia disorders.

Is free triiodothyronine important in the development of insulin resistance in healthy people?

OBJECTIVE: To determine the association between thyroid hormones and insulin resistance in a population of healthy individuals. MATERIALS AND METHODS: We conducted an analytical cross-sectional study in adults who attended a private clinic from 2012 to 2014. We excluded those participants with fasting glucose values ​​compatible with diabetes mellitus, abnormal thyroid hormone values, chronic use of corticosteroids, and incomplete medical records. Participants were divided into tertiles (low, intermediate and high) according to their free triiodothyronine and free thyroxine values. We defined Insulin resistance as a Homeostasis Model Assessment (HOMA-IR) value greater than 3.8. We conducted a univariate and multivariate Poisson regression model to assess the association between thyroid hormones and insulin resistance. The association measure reported was the prevalence ratio (PR) with their confidence interval (CI) at 95%. RESULTS: We evaluated 600 participants. The mean age was 36.8±14.2years and 33% were male. The frequency of insulin resistance was 29.5%. In the univariate regression, we found association between free triiodothyronine tertiles and insulin resistance. In the multivariate regression adjusted for age, sex, body mass index and thyroid stimulating hormone, the association between free triiodothyronine tertiles and insulin resistance remained; intermediate tertile (PR=1.54; CI95%: 1.10-2.15) and high tertile (PR=1.70; CI95%: 1.21-2.39). We found no association between T4 and insulin resistance. CONCLUSIONS: High levels of free triiodothyronine are associated with insulin resistance. The use of free trioodothyronine to assess insulin resistance in healthy patients should be considered.

Cortisol y porcentaje de grasa corporal en mujeres de edad media con síntomas crónicos / Cortisol and percent body fat in middle-aged women with chronic symptoms

Evaluamos la asociación entre cortisol salival y el porcentaje de grasa corporal en mujeres de edad media con síntomas crónicos. MATERIAL Y MÉTODOS: Estudio observacional, retrospectivo, transversal y analítico, que analizo los registros de 166 mujeres que acudieron por síntomas crónicos a un centro de ginecología durante el año 2013. Se recolectaron variables como edad, insulina basal, perfil tiroideo, cortisol salival (CSAM), índice de masa corporal (IMC), porcentaje de grasa corporal (POC). Utilizamos el coeficiente correlación de Pearson (r) entre POC 0 1MC y CSAM y regresión lineal univariada y multivariada para valorar la asociación entre CSAM y POC 0 [MC RESULTADOS: La media de edad fue 45 años +/- 14, la media de IMC fue 28,4 Kglm2 +/- 5,1, la media del POC fue 40, 7 % +/- 6, 7 Y la mediana del CSAM fue 12,1 nmol/L. El log CSAM e 1MC estuvieron inversamente correlacionados (r=-0,28, p<0,01) así como 10 fue la relación entre el log CSAM y POC (r=-0,41, p <0,01). La regresión univariada evidencio que por cada aumento de una unidad del log CSAM el IMC disminuye en 3.63 kg/m2 (p <0.01) y que por cada aumento de una unidad del log CSAM el POC disminuye en 7.2% (p<0.01). En análisis multivariado la asociación significativa se mantuvo para IMC y POC CONCLUSIONES: Encontramos una asociación inversamente proporcional entre el CSA M y el 1MC 0 POC en mujeres adultas con síntomas crónicos. La asociación es mayor entre CSAM y POC comparado con CSAM e lMC...

We evaluated the association between salivary cortisol and percent body fat in middle- aged women with chronic symptoms. MATERIALS AND METHODS: Observational and retrospective analytical study, which analyzed the records of /66 women who attended for chronic symptoms gynecology center during 2013. We collected variables as age, basal insulin, thyroid profile, salivary cortisol am (SCAM), index body mass index (BM1), body fat percentage (BF%). We used the Pearson correlation coefficient (r) between BF% or BMI and SCAM and univariate and multivariate linear regression to assess the association between SCAM and BF% or BMI. RESULTS: The mean age was 14 +/- 45 years, mean BMI was 28.4 kg 1 m2 +/- 5.1, the mean BF% was 40.7% +/- 6.7 and median CSAM was 12.1 nmol/1 L. The log CSAM and BMI were inversely correlated (r = -0.28, p <0.01) as was the relationship between log CSAM and BF% (r = -0.41, p <0.01). Univariate regression showed that for everyone-unit increase of log SCAM BMI decreases in 3.63 kg / m2 (p <0.01) and that for every increase of one unit of the PGC log SCAM decreases 7.2% (p <0.01). In multivariate analysis, significant association remained for BMI and BF%. CONCLUSIONS: We found an inverse association between BMI or SCAM and BF% in adult women with chronic symptoms. The association is higher among BF% compared CSCAM and SCAM and BMI...

Variaciones de la presión arterial sistólica durante el periódo posprandial / Variations of systolic blood pressure during postprandial time

OBJETIVO. Evaluar las variaciones de la presión arterial sistólica (PAS) en el periodo posprandial en sujetos hiperten-sos y sus controles. MATERIALES Y MÉTODOS. Se estudió a 27 adultos hipertensos esenciales de entre 40 y 60 años y sus 27 controles pareados por sexo, edad e IMC. Se les realizó el test de tolerancia a la glucosa (TTG) junto a la medición de presión arterial basal, a los 30, 60 y 120 minutos. Se consideró variación anormal a un descenso o aumento de más de 20 mm Hg en el promedio de las la glucosa y la insulina a los 30, 60, 120 minutos de la prueba. RESULTADOS. El 65 por ciento de los pacientes hipertensos pre-sentó variaciones anormales de la PAS frente al 8 por ciento de los controles. La anormalidad más frecuente de PAS en el estado posprandial fue la hipotensión (88 por ciento), la que estuvo en relación al antecedente de hipertensión arterial. Se observó un mayor valor de glicemia a las 2 horas-posprandial en los que presentaron variaciones anormales en relación a los que no lo hicieron (120 mg/dL vs. 102 mg/dL, p menor que 0,05). El grupo que presentó hipotensión posprandial presentó valores de triglicéridos menores en relación a los que presentaron hipertensión posprandial (114 mg/dL vs. 176 mg/dL, p menor que 0,05) y se observó triglicéridos en ayunas altos en los sujetos que presentaron hipertensión posprandial y los valores más bajos en aquellos con hipotensión posprandial. Los niveles de insulina no presentaron diferencias en ambos grupos. CONCLUSIÓN. La variación posprandial más frecuente posterior a una sobrecarga de carbohidratos fue la hipotensión arterial sistólica, la que se presentó principalmente en los sujetos hipertensos. Todas las variaciones anormales de la presión arterial sistólica posprandial estuvieron asociadas a mayores niveles de la glucosa a las 2 horas-posprandial.

OBJECTIVE. To assess variations in systolic blood pressure dur-ing the postprandial time in hypertensive subjects and controls. MATERIAL AND METHODS. It was studied 27 adults patients with essential hypertension between 40 and 60 and their 27 controls matched by sex, age and BMI. All of them underwent to the glu-cose tolerance test (GTT) and insulin, lipids and blood pressure were measured at baseline, 30, 60 and 120 minutes. Abnormal variation was considered a decrease or increase over 20 mmHg in mean systolic pressures after ingestion with respect to base-line. RESULTS. Sixty five per cent of hypertensive patients showed abnormal variations in blood pressure compared with 8 per cent per cetn of controls. The most common abnormality in the postprandial state was hypotension (88 per cent), mainly in hypertensive patients. There was an increased in the mean blood glucose at 2 hours post-prandial in those with abnormal variations of systolic blood pressure in contrast with those who did not (120 mg/dL vs. 102 mg/dL, p minor that 0,05). The group that showed postprandial hypo-tension had less levels of triglycerides than patients with post-prandial hypertension (114 mg/dL vs. 176 mg/dL, p minor that 0,05). Insulin levels did not differ in both groups. CONCLUSION. The most frequent variation in blood pressure after a glucose load-ing was systolic arterial hypotension, mainly in hypertensive patients. All the variations of postprandial systolic blood pres-sure were associated to higher levels of postprandial glycemia.