ABSTRACT
Although several cohort studies have raised the important association between diabetes mellitus (DM) and latent tuberculosis infection (LTBI), evidences are limited and controversial. Furthermore, it is well documented that the poor glycemic control may exacerbate the risk for active TB. Thus, the monitoring of diabetic patients living in high-incidence areas for TB is an important concern in views of available diagnostic tests for LTBI. In this cross-sectional study, we estimate the association of DM and LTBI among diabetic patients classified as type-1 DM (T1D) or type-2 DM (T2D) living in Rio de Janeiro, RJ, Brazil - considered a high TB burden region of these country. Non-DM volunteers were included as endemic area healthy controls. All participants were screened for DM using glycosylated-hemoglobin (HbA1c) and for LTBI using the QuantiFERON-TB Gold in Tube (QFT-GIT). Demographic, socioeconomic, clinical and laboratorial data were also assessed. Among 553 included participants, 88 (15.9%) had QFT-GIT positive test, of which 18 (20.5%) were non-DM, 30 (34.1%) T1D and 40 (45.4%) T2D. After adjustments for potential baseline confounders, age, self-reported non-white skin color and an active TB case in the family were significantly associated with LTBI among the studied population by using a hierarchical multivariate logistic regression analysis. Additionally, we verified that T2D patients were able to produce significant increased interferon-gamma (IFN-γ) plasma levels in response to Mycobacterium tuberculosis-specific antigens, when compared to non-DM individuals. Altogether, our data showed an increased prevalence of LTBI among DM patients, albeit non-statistically significant, and point out to important independent factors associated with LTBI, which deserve attention in monitoring patients with DM. Moreover, QFT-GIT test seems to be a good tool to screening LTBI in this population, even in a high TB burden area.
ABSTRACT
OBJETIVO: Os principais objetivos são determinar a associação entre os parâmetros clínicos e demográficos e os diferentes índices de secreção e resistência insulínica em indivíduos aparentemente saudáveis, sem conhecimento prévio de seu grau de tolerância à glicose. PACIENTES E MÉTODOS: Submetemos ao teste oral de tolerância à glicose (TOTG), no período de fevereiro a agosto de 2003, 105 indivíduos com média de idade de 33,4 ± 1,4 anos, sendo 57,1 por cento do sexo feminino, subdividindo-os em 4 grupos: grupo 0 (normais): indivíduos com IMC < 25 e metabolismo glicídico normal, grupo 1 (obesos): IMC > 25 e metabolismo glicídico normal, grupo 2 (IFG): glicemia de jejum alterada e grupo 3 (IOG): intolerância oral à glicose. RESULTADOS: Encontramos diferença estatística para todas as variáveis analisadas durante o TOTG dentre os 4 grupos de indivíduos: glicemias de jejum e em 2 horas (p < 0,05; p < 0,05), valor de pico (p < 0,05), delta (p = 0,02), percentual de incremento (p = 0,047), área sob a curva (p < 0,05) e tempo de pico da glicose (p = 0,022). Não encontramos diferença para a velocidade de incremento da glicose, assim como para nenhuma variável da curva de insulina. Em relação aos índices de secreção insulínica, não houve significância estatística para os índices insulinogênico ou delta, porém estes tornaram-se significantes após correção da secreção pela resistência insulínica (p = 0,008). Quanto aos índices de resistência insulínica, os índices HOMA e QUICKI foram estatisticamente significativos (p = 0,005; p = 0,005, respectivamente), assim como a relação glicose/insulina em jejum (p = 0,053). CONCLUSÃO: Apesar do tamanho limitado da amostra, podemos inferir que indivíduos com intolerância à glicose em jejum e pós-prandial possivelmente estão em momentos diferentes da história natural da doença. Nossos dados demonstram que os melhores índices para a avaliação de resistência insulínica são o HOMA e o QUICKI, e que os...
AIM AND METHODS: Our main aim was to determine the association between clinical, demographical parameters and different insulin resistance and secretion indices in apparently healthy subjects, without previous knowledge of their own level of glucose tolerance. For that purpose, we evaluated 105 individuals from February to August 2003 by means of OGTT, aged 33.4 ± 1.4 years old, 57.1 percent female. We allocated them in four groups: group 0 (normal): individuals with BMI < 25 Kg/m² and normal glucose metabolism, group 1 (obese): BMI > 25 Kg/m² and normal glucose metabolism, group 2 (IFG): impaired fasting glucose and group 3 (IGT): impaired glucose tolerance. RESULTS: We have found statistical difference on all variables during OGTT between all groups: fasting glucose (p < 0.05), 2-hour glucose (p < 0.05), glucose peak value (p < 0.05), glucose delta (p = 0.02), glucose incremental percentage (p = 0.047), area under curve (p < 0.05), and glucose peak time (p = 0.022). We have not found difference on any variable in insulin curves or on glucose incremental velocity. Regarding insulin secretion indices there were no statistical significance in insulinogenic or delta indices, but they became significant after being corrected by insulin resistance (p = 0.008). When we evaluated insulin resistance alone, by using HOMA and QUICKI indices and the fasting glucose to insulin index, we have found statistical significance (p = 0.005; p = 0.005; p = 0.053). CONCLUSION: Although studying a small sample, we could suggest that individuals with impaired fasting glucose and impaired glucose tolerance are in different stages of diabetes natural history disease. We found out that the best indices of insulin resistance are both HOMA and QUICKI. We also suggest that pancreatic secretion indices should be corrected by the insulin resistance, which could best reflect type 2 diabetes natural history.
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Blood Glucose/metabolism , Diabetes Mellitus/physiopathology , Glucose Intolerance/diagnosis , Insulin Resistance/physiology , Insulin , Body Mass Index , Blood Glucose/analysis , Glucose Clamp Technique , Glucose Tolerance Test , Glucose Intolerance/physiopathology , Hemostasis , Multivariate AnalysisABSTRACT
AIM AND METHODS: Our main aim was to determine the association between clinical, demographical parameters and different insulin resistance and secretion indices in apparently healthy subjects, without previous knowledge of their own level of glucose tolerance. For that purpose, we evaluated 105 individuals from February to August 2003 by means of OGTT, aged 33.4+/-1.4 years old, 57.1% female. We allocated them in four groups: group 0 (normal): individuals with BMI < 25 Kg/m(2) and normal glucose metabolism, group 1 (obese): BMI >or= 25 Kg/m(2) and normal glucose metabolism, group 2 (IFG): impaired fasting glucose and group 3 (IGT): impaired glucose tolerance. RESULTS: We have found statistical difference on all variables during OGTT between all groups: fasting glucose (p < 0.05), 2-hour glucose (p < 0.05), glucose peak value (p < 0.05), glucose delta (p = 0.02), glucose incremental percentage (p = 0.047), area under curve (p < 0.05), and glucose peak time (p = 0.022). We have not found difference on any variable in insulin curves or on glucose incremental velocity. Regarding insulin secretion indices there were no statistical significance in insulinogenic or delta indices, but they became significant after being corrected by insulin resistance (p = 0.008). When we evaluated insulin resistance alone, by using HOMA and QUICKI indices and the fasting glucose to insulin index, we have found statistical significance (p = 0.005; p = 0.005; p = 0.053). CONCLUSION: Although studying a small sample, we could suggest that individuals with impaired fasting glucose and impaired glucose tolerance are in different stages of diabetes natural history disease. We found out that the best indices of insulin resistance are both HOMA and QUICKI. We also suggest that pancreatic secretion indices should be corrected by the insulin resistance, which could best reflect type 2 diabetes natural history.
