Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes

Detalhes bibliográficos
Ano de defesa: 2015
Autor(a) principal: Biavaschi, Marcelo da Silva lattes
Orientador(a): Morsch, Vera Maria lattes
Banca de defesa: Rosemberg, Denis Broock lattes, Gonçalves, Jamile Fabbrin lattes
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Programa de Pós-Graduação: Programa de Pós-Graduação em Ciências Biológicas: Bioquímica Toxicológica
Departamento: Bioquímica
País: BR
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/11254
Resumo: Diabetes Mellitus (DM) is a heterogeneous group of diseases that have hyperglycemia as a common condition. Prevalence as well as morbidity and mortality stand out as public health problems. The Americam Diabetes Association (ADA) has considered impaired fasting glucose, if fasting glucose >99<126mg/dl and impaired glucose tolerance, if glycemia 2h in oral tolerance test (2h-OGTT) ≥140<200mg/dl, prediabetic conditions. It also recommends that glycohemoglobin (HbA1c)(≥5.7<6.5%) be used as a criterion to diagnose prediabetes. However, the diagnosis of prediabetes are not in agreement up to 70% of the times when these methods are used. Thus, this study aimed to assess other variables that may contribute to the diagnosis of prediabetes, such as the relationship between levels of HbA1c, C-reactive protein (CRP) and alterations in the blood glucose curve during the OGTT in individuals who are at increased risk of developing type 2 diabetes mellitus. Lipid profile, oxidative profile through malondialdehyde and carbonyl protein, and the insulin resistance index by Homeostatic Model Assessment-IR were also analyzed. We selected 59 individuals who were non-diabetic and relatives of diabetic and non-diabetic patients who were assisted at the University Hospital of Santa Maria and on the International Day of the Diabetes program. The subjects were between 40 and 60 years old with BMI≥25Kg/m² who firstly had a clinical evaluation and answered a questionnaire. Then, they underwent blood sampling after fasting for 12 hours to determine the biochemical parameters and oxidative stress. Next, individuals underwent OGTT with 75g of glucose and blood was collected after 30, 60 and 120 min to assess blood glucose. Five patients who had a diagnosis of diabetes were excluded and the 54 participants who remained were divided into two subgroups: with family history of diabetes in first-degree relative (FH +) or without family history (FH-). Subsequently, 6 patients without prediabetes and with 1h-OGTT≤fasting glycemia were excluded out of 54 participants. Then, 48 subjects were divided into two groups, one without prediabetes and with 1h-OGTT>fasting glycemia and the other with prediabetes. Results showed no significant difference between groups with HF+ and HF-. Moreover, there was no significant difference between the group with prediabetes and the group without prediabetes and with 1h-OGTT>fasting glycemia, when considering the levels of HbA1c, CRP, profile lipid and malondialdehyde. However ,a significant difference was observed between these two groups when glucose levels, insulin, HOMA-IR and carbonyl protein were analyzed. There was no difference between the groups regarding the other parameters. These results identify predictors to increased cardiovascular and diabetes risk in individuals without prediabetes and with 1h-OGTT>fasting glycemia, which are similar to those predictors in individuals with prediabetes established by the ADA criteria.
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spelling 2016-10-312016-10-312015-03-12BIAVASCHI, Marcelo da Silva. Assessment of glycohemoglobin, plasma glucose curve and C-reactive protein as complementary predictors to diagnose prediabetes. 2015. 60 f. Dissertação (Mestrado em Ciências Biológicas) - Universidade Federal de Santa Maria, Santa Maria, 2015.http://repositorio.ufsm.br/handle/1/11254Diabetes Mellitus (DM) is a heterogeneous group of diseases that have hyperglycemia as a common condition. Prevalence as well as morbidity and mortality stand out as public health problems. The Americam Diabetes Association (ADA) has considered impaired fasting glucose, if fasting glucose >99<126mg/dl and impaired glucose tolerance, if glycemia 2h in oral tolerance test (2h-OGTT) ≥140<200mg/dl, prediabetic conditions. It also recommends that glycohemoglobin (HbA1c)(≥5.7<6.5%) be used as a criterion to diagnose prediabetes. However, the diagnosis of prediabetes are not in agreement up to 70% of the times when these methods are used. Thus, this study aimed to assess other variables that may contribute to the diagnosis of prediabetes, such as the relationship between levels of HbA1c, C-reactive protein (CRP) and alterations in the blood glucose curve during the OGTT in individuals who are at increased risk of developing type 2 diabetes mellitus. Lipid profile, oxidative profile through malondialdehyde and carbonyl protein, and the insulin resistance index by Homeostatic Model Assessment-IR were also analyzed. We selected 59 individuals who were non-diabetic and relatives of diabetic and non-diabetic patients who were assisted at the University Hospital of Santa Maria and on the International Day of the Diabetes program. The subjects were between 40 and 60 years old with BMI≥25Kg/m² who firstly had a clinical evaluation and answered a questionnaire. Then, they underwent blood sampling after fasting for 12 hours to determine the biochemical parameters and oxidative stress. Next, individuals underwent OGTT with 75g of glucose and blood was collected after 30, 60 and 120 min to assess blood glucose. Five patients who had a diagnosis of diabetes were excluded and the 54 participants who remained were divided into two subgroups: with family history of diabetes in first-degree relative (FH +) or without family history (FH-). Subsequently, 6 patients without prediabetes and with 1h-OGTT≤fasting glycemia were excluded out of 54 participants. Then, 48 subjects were divided into two groups, one without prediabetes and with 1h-OGTT>fasting glycemia and the other with prediabetes. Results showed no significant difference between groups with HF+ and HF-. Moreover, there was no significant difference between the group with prediabetes and the group without prediabetes and with 1h-OGTT>fasting glycemia, when considering the levels of HbA1c, CRP, profile lipid and malondialdehyde. However ,a significant difference was observed between these two groups when glucose levels, insulin, HOMA-IR and carbonyl protein were analyzed. There was no difference between the groups regarding the other parameters. These results identify predictors to increased cardiovascular and diabetes risk in individuals without prediabetes and with 1h-OGTT>fasting glycemia, which are similar to those predictors in individuals with prediabetes established by the ADA criteria.Diabetes Mellitus (DM) é um grupo heterogêneo de doenças que apresentam em comum a hiperglicemia. A prevalência e a morbimortalidade destacam-no como um problema de saúde pública. A American Diabetes Association (ADA) considera a glicemia de jejum alterada, glicemia em jejum >99<126mg/dL, e a intolerância à glicose, glicemia na 2ªhora no teste oral de tolerância à glicose (2h-TTGO) ≥140<200mg/dl, como diagnósticos de pré-diabetes e, recomenda que a glicohemoglobina (HbA1c), ≥5.7<6.5%, também seja usada como mais um critério para se diagnosticar pré-diabetes. Entretanto o diagnóstico de pré-diabetes, através destes métodos, mostra-se discordante em até 70% das vezes. Nesse sentido, este trabalho teve por objetivo avaliar outras variáveis que podem contribuir para o diagnóstico de pré-diabetes, como a relação entre os níveis de HbA1c, de proteína C reativa (PCR) e as alterações na curva glicêmica durante o TTGO, em indivíduos que apresentam risco aumentado de desenvolver diabetes mellitus tipo 2. Foram avaliados também o perfil lipídico, o perfil oxidativo através do malondialdeído e proteína carbonil, e o índice de resistência insulínica através do Homeostatic Model Assessment-IR (HOMA-IR). Foram selecionados 59 indivíduos não diabéticos, familiares de pacientes diabéticos e não diabéticos atendidos no Hospital Universitário de Santa Maria e no programa alusivo ao dia internacional do Diabetes. Eram indivíduos entre 40 e 60 anos, com IMC≥25Kg/m² que, após uma avaliação clínica e à resposta a um questionário, foram submetidos a coletas de sangue em jejum de 12 horas, para determinação dos parâmetros bioquímicos e do estresse oxidativo. Então, foram submetidos ao TTGO com 75g de glicose, com coletas em 30, 60 e 120 minutos, para exame das glicemias. Excluídos 5 pacientes que obtiveram o diagnóstico de diabetes, restaram 54 participantes que foram separados em dois subgrupos, com história familiar de diabetes em parente de primeiro grau (HF+) ou, sem historia familiar (HF-). Posteriormente, dos 54 indivíduos, foram excluídos 6 participantes sem pré-diabetes e com 1h-TTGO≤glicemia de jejum. Os 48 indivíduos então, foram separados em 2 grupos: 01 sem pré-diabetes e com 1h-TTGO>glicemia de jejum, e 01 com pré-diabetes. Os resultados encontrados indicam que não há diferença significativa entre os grupos com HF+ e HF-, e também não há diferença significativa entre os grupos com pré-diabetes e sem pré-diabetes e com 1h-TTGO>glicemia de jejum, se considerados os níveis de HbA1c, PCR, perfil lipídico e malondialdeído. Houve diferença significativa entre os grupos com pré-diabetes e sem pré-diabetes e com 1h-TTGO>glicemia de jejum, se analisados os níveis glicêmicos, a insulinemia, o HOMA-IR e a proteína carbonil. Não houve diferença nos outros parâmetros, entre estes grupos. Estes resultados permitem identificar preditores de maior risco cardiovascular e de diabetes, em indivíduos sem pré-diabetes e com 1h-TTGO>glicemia de jejum, semelhante aos indivíduos com o diagnóstico de pré-diabetes estabelecido pelos critérios da ADA.application/pdfporUniversidade Federal de Santa MariaPrograma de Pós-Graduação em Ciências Biológicas: Bioquímica ToxicológicaUFSMBRBioquímicaPré-diabetesCurva glicêmicaGlicohemoglobina e proteína C reativaPrediabetesGlycemic curveGlycohemoglobinC-reactive proteinCNPQ::CIENCIAS BIOLOGICAS::BIOQUIMICAAvaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetesAssessment of glycohemoglobin, plasma glucose curve and C-reactive protein as complementary predictors to diagnose prediabetesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisMorsch, Vera Mariahttp://lattes.cnpq.br/1519648219507868Rosemberg, Denis Broockhttp://lattes.cnpq.br/7713953979203056Gonçalves, Jamile Fabbrinhttp://lattes.cnpq.br/3517679241506587http://lattes.cnpq.br/1677913699019006Biavaschi, Marcelo da Silva20080000000240050030050050005cf99a1-4e49-4daa-bb3b-26eee86569c15e9b2404-af67-40e5-a672-c43bbf0ceae0c677f64b-5cc5-4b69-a688-583d9209b1b0036e2395-3ea3-41f5-a1dc-1ef9074d9988info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALBIAVASCHI, MARCELO DA SILVA.pdfapplication/pdf1189207http://repositorio.ufsm.br/bitstream/1/11254/1/BIAVASCHI%2c%20MARCELO%20DA%20SILVA.pdfb1fbac5afc0172e67220ed63308fc55bMD51TEXTBIAVASCHI, MARCELO DA SILVA.pdf.txtBIAVASCHI, MARCELO DA SILVA.pdf.txtExtracted texttext/plain103433http://repositorio.ufsm.br/bitstream/1/11254/2/BIAVASCHI%2c%20MARCELO%20DA%20SILVA.pdf.txtfe65eeecd9f5775e6ed8d69d02d3ee17MD52THUMBNAILBIAVASCHI, MARCELO DA SILVA.pdf.jpgBIAVASCHI, MARCELO DA SILVA.pdf.jpgIM Thumbnailimage/jpeg5263http://repositorio.ufsm.br/bitstream/1/11254/3/BIAVASCHI%2c%20MARCELO%20DA%20SILVA.pdf.jpgc760160fc5a0c8289aadf0f9366041afMD531/112542022-05-04 10:21:02.588oai:repositorio.ufsm.br:1/11254Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-05-04T13:21:02Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
dc.title.alternative.eng.fl_str_mv Assessment of glycohemoglobin, plasma glucose curve and C-reactive protein as complementary predictors to diagnose prediabetes
title Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
spellingShingle Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
Biavaschi, Marcelo da Silva
Pré-diabetes
Curva glicêmica
Glicohemoglobina e proteína C reativa
Prediabetes
Glycemic curve
Glycohemoglobin
C-reactive protein
CNPQ::CIENCIAS BIOLOGICAS::BIOQUIMICA
title_short Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
title_full Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
title_fullStr Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
title_full_unstemmed Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
title_sort Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
author Biavaschi, Marcelo da Silva
author_facet Biavaschi, Marcelo da Silva
author_role author
dc.contributor.advisor1.fl_str_mv Morsch, Vera Maria
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1519648219507868
dc.contributor.referee1.fl_str_mv Rosemberg, Denis Broock
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/7713953979203056
dc.contributor.referee2.fl_str_mv Gonçalves, Jamile Fabbrin
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/3517679241506587
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1677913699019006
dc.contributor.author.fl_str_mv Biavaschi, Marcelo da Silva
contributor_str_mv Morsch, Vera Maria
Rosemberg, Denis Broock
Gonçalves, Jamile Fabbrin
dc.subject.por.fl_str_mv Pré-diabetes
Curva glicêmica
Glicohemoglobina e proteína C reativa
topic Pré-diabetes
Curva glicêmica
Glicohemoglobina e proteína C reativa
Prediabetes
Glycemic curve
Glycohemoglobin
C-reactive protein
CNPQ::CIENCIAS BIOLOGICAS::BIOQUIMICA
dc.subject.eng.fl_str_mv Prediabetes
Glycemic curve
Glycohemoglobin
C-reactive protein
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS BIOLOGICAS::BIOQUIMICA
description Diabetes Mellitus (DM) is a heterogeneous group of diseases that have hyperglycemia as a common condition. Prevalence as well as morbidity and mortality stand out as public health problems. The Americam Diabetes Association (ADA) has considered impaired fasting glucose, if fasting glucose >99<126mg/dl and impaired glucose tolerance, if glycemia 2h in oral tolerance test (2h-OGTT) ≥140<200mg/dl, prediabetic conditions. It also recommends that glycohemoglobin (HbA1c)(≥5.7<6.5%) be used as a criterion to diagnose prediabetes. However, the diagnosis of prediabetes are not in agreement up to 70% of the times when these methods are used. Thus, this study aimed to assess other variables that may contribute to the diagnosis of prediabetes, such as the relationship between levels of HbA1c, C-reactive protein (CRP) and alterations in the blood glucose curve during the OGTT in individuals who are at increased risk of developing type 2 diabetes mellitus. Lipid profile, oxidative profile through malondialdehyde and carbonyl protein, and the insulin resistance index by Homeostatic Model Assessment-IR were also analyzed. We selected 59 individuals who were non-diabetic and relatives of diabetic and non-diabetic patients who were assisted at the University Hospital of Santa Maria and on the International Day of the Diabetes program. The subjects were between 40 and 60 years old with BMI≥25Kg/m² who firstly had a clinical evaluation and answered a questionnaire. Then, they underwent blood sampling after fasting for 12 hours to determine the biochemical parameters and oxidative stress. Next, individuals underwent OGTT with 75g of glucose and blood was collected after 30, 60 and 120 min to assess blood glucose. Five patients who had a diagnosis of diabetes were excluded and the 54 participants who remained were divided into two subgroups: with family history of diabetes in first-degree relative (FH +) or without family history (FH-). Subsequently, 6 patients without prediabetes and with 1h-OGTT≤fasting glycemia were excluded out of 54 participants. Then, 48 subjects were divided into two groups, one without prediabetes and with 1h-OGTT>fasting glycemia and the other with prediabetes. Results showed no significant difference between groups with HF+ and HF-. Moreover, there was no significant difference between the group with prediabetes and the group without prediabetes and with 1h-OGTT>fasting glycemia, when considering the levels of HbA1c, CRP, profile lipid and malondialdehyde. However ,a significant difference was observed between these two groups when glucose levels, insulin, HOMA-IR and carbonyl protein were analyzed. There was no difference between the groups regarding the other parameters. These results identify predictors to increased cardiovascular and diabetes risk in individuals without prediabetes and with 1h-OGTT>fasting glycemia, which are similar to those predictors in individuals with prediabetes established by the ADA criteria.
publishDate 2015
dc.date.issued.fl_str_mv 2015-03-12
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identifier_str_mv BIAVASCHI, Marcelo da Silva. Assessment of glycohemoglobin, plasma glucose curve and C-reactive protein as complementary predictors to diagnose prediabetes. 2015. 60 f. Dissertação (Mestrado em Ciências Biológicas) - Universidade Federal de Santa Maria, Santa Maria, 2015.
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