Avaliação dos níveis de glicohemoglobina, curvas glicêmicas e proteína C reativa como preditores complementares para o diagnóstico de pré-diabetes
Ano de defesa: | 2015 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , |
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. |
id |
UFSM-20_4c10ae5715459f891ff7664cb5bfec99 |
---|---|
oai_identifier_str |
oai:repositorio.ufsm.br:1/11254 |
network_acronym_str |
UFSM-20 |
network_name_str |
Manancial - Repositório Digital da UFSM |
repository_id_str |
|
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:Manancial - Repositório Digital da 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:1/11254Repositório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132022-05-04T13:21:02Manancial - Repositório Digital da 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 |
dc.date.accessioned.fl_str_mv |
2016-10-31 |
dc.date.available.fl_str_mv |
2016-10-31 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_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. |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/11254 |
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. |
url |
http://repositorio.ufsm.br/handle/1/11254 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
200800000002 |
dc.relation.confidence.fl_str_mv |
400 500 300 500 500 |
dc.relation.authority.fl_str_mv |
05cf99a1-4e49-4daa-bb3b-26eee86569c1 5e9b2404-af67-40e5-a672-c43bbf0ceae0 c677f64b-5cc5-4b69-a688-583d9209b1b0 036e2395-3ea3-41f5-a1dc-1ef9074d9988 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Ciências Biológicas: Bioquímica Toxicológica |
dc.publisher.initials.fl_str_mv |
UFSM |
dc.publisher.country.fl_str_mv |
BR |
dc.publisher.department.fl_str_mv |
Bioquímica |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
reponame:Manancial - Repositório Digital da UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Manancial - Repositório Digital da UFSM |
collection |
Manancial - Repositório Digital da UFSM |
bitstream.url.fl_str_mv |
http://repositorio.ufsm.br/bitstream/1/11254/1/BIAVASCHI%2c%20MARCELO%20DA%20SILVA.pdf http://repositorio.ufsm.br/bitstream/1/11254/2/BIAVASCHI%2c%20MARCELO%20DA%20SILVA.pdf.txt http://repositorio.ufsm.br/bitstream/1/11254/3/BIAVASCHI%2c%20MARCELO%20DA%20SILVA.pdf.jpg |
bitstream.checksum.fl_str_mv |
b1fbac5afc0172e67220ed63308fc55b fe65eeecd9f5775e6ed8d69d02d3ee17 c760160fc5a0c8289aadf0f9366041af |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
|
_version_ |
1801224092925296640 |