A S Carew, R A Warren, M P Bancks, M A Espeland, J L Bahnson, C L Lewis, A P Levy, J L Sapp, R Urquhart, J L Wang, E B Rimm, L E Cahill
{"title":"重复测量 HbA1c 与常见血红蛋白表型组冠心病事件风险之间的关系:糖尿病健康行动(Look AHEAD)研究。","authors":"A S Carew, R A Warren, M P Bancks, M A Espeland, J L Bahnson, C L Lewis, A P Levy, J L Sapp, R Urquhart, J L Wang, E B Rimm, L E Cahill","doi":"10.1186/s12933-024-02448-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In the ACCORD study, participants with the haptoglobin (Hp) 2-2 phenotype and glycated hemoglobin (HbA<sub>1c</sub>) ≥ 8.0% had a higher risk of coronary artery disease (CAD) compared to those with HbA<sub>1c</sub> 7.0-7.9%. However, this association was not observed in participants without the Hp2-2 phenotype. The optimal glycemic target for CAD prevention for the Hp phenotypes remains uncertain and may vary based on demographic and clinical factors.</p><p><strong>Objective: </strong>To investigate how reaching clinically relevant HbA<sub>1c</sub> targets relates to the risk of CAD in different Hp phenotype groups among a diverse cohort of individuals with T2DM (the Look AHEAD study, HbA<sub>1c</sub> ≤ 11% at baseline).</p><p><strong>Methods: </strong>Cox regression models with time-varying covariables were used to quantify the association between time-varying achieved HbA<sub>1c</sub> (< 6.5%, 6.5-6.9%, and ≥ 8.0% compared to 7.0-7.9%), updated at years 1-4, 6, 8, and 10, and incident CAD in the Hp2-2 (n = 1,587) and non-Hp2-2 (n = 2,944) phenotypes separately. Further pre-specified subgroup analyses by age, sex, history of cardiovascular disease (CVD), race, and diabetes duration were performed in each Hp phenotype group separately.</p><p><strong>Results: </strong>Compared with HbA<sub>1c</sub> 7.0-7.9%, having HbA<sub>1c</sub> < 6.5% was associated with a 29% lower CAD risk among participants with the non-Hp2-2 phenotype (adjusted HR 0.71, 95% CI 0.55-0.90). In subgroup analyses, this association was present in participants with the non-Hp2-2 phenotype who were male (0.60, 0.44-0.83), who did not have a history of CVD (0.65, 0.47-0.90), who were aged ≥ 65 years (0.64, 0.44-0.94), who were White (0.68, 0.51-0.91), or who had diabetes duration > 10 years (0.58, 0.35-0.95). HbA<sub>1c</sub> ≥ 8.0% was associated with CAD risk only among participants with the Hp2-2 phenotype who had a history of CVD (1.79, 1.00-3.20). No associations were found between the other HbA<sub>1c</sub> targets and CAD risk when participants with the Hp2-2 phenotype were grouped together or divided into subgroups.</p><p><strong>Conclusion: </strong>The differences in our results compared to our previous findings may be due to variations in the study populations and factors associated with weight loss, making it difficult to draw definitive conclusions. Our current findings should be considered in the context of hypothesis generation, and ideally, will encourage additional research in this field.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466022/pdf/","citationCount":"0","resultStr":"{\"title\":\"The relationship between repeated measurements of HbA<sub>1c</sub> and risk of coronary events among the common haptoglobin phenotype groups: the Action for Health in Diabetes (Look AHEAD) study.\",\"authors\":\"A S Carew, R A Warren, M P Bancks, M A Espeland, J L Bahnson, C L Lewis, A P Levy, J L Sapp, R Urquhart, J L Wang, E B Rimm, L E Cahill\",\"doi\":\"10.1186/s12933-024-02448-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In the ACCORD study, participants with the haptoglobin (Hp) 2-2 phenotype and glycated hemoglobin (HbA<sub>1c</sub>) ≥ 8.0% had a higher risk of coronary artery disease (CAD) compared to those with HbA<sub>1c</sub> 7.0-7.9%. However, this association was not observed in participants without the Hp2-2 phenotype. The optimal glycemic target for CAD prevention for the Hp phenotypes remains uncertain and may vary based on demographic and clinical factors.</p><p><strong>Objective: </strong>To investigate how reaching clinically relevant HbA<sub>1c</sub> targets relates to the risk of CAD in different Hp phenotype groups among a diverse cohort of individuals with T2DM (the Look AHEAD study, HbA<sub>1c</sub> ≤ 11% at baseline).</p><p><strong>Methods: </strong>Cox regression models with time-varying covariables were used to quantify the association between time-varying achieved HbA<sub>1c</sub> (< 6.5%, 6.5-6.9%, and ≥ 8.0% compared to 7.0-7.9%), updated at years 1-4, 6, 8, and 10, and incident CAD in the Hp2-2 (n = 1,587) and non-Hp2-2 (n = 2,944) phenotypes separately. Further pre-specified subgroup analyses by age, sex, history of cardiovascular disease (CVD), race, and diabetes duration were performed in each Hp phenotype group separately.</p><p><strong>Results: </strong>Compared with HbA<sub>1c</sub> 7.0-7.9%, having HbA<sub>1c</sub> < 6.5% was associated with a 29% lower CAD risk among participants with the non-Hp2-2 phenotype (adjusted HR 0.71, 95% CI 0.55-0.90). In subgroup analyses, this association was present in participants with the non-Hp2-2 phenotype who were male (0.60, 0.44-0.83), who did not have a history of CVD (0.65, 0.47-0.90), who were aged ≥ 65 years (0.64, 0.44-0.94), who were White (0.68, 0.51-0.91), or who had diabetes duration > 10 years (0.58, 0.35-0.95). HbA<sub>1c</sub> ≥ 8.0% was associated with CAD risk only among participants with the Hp2-2 phenotype who had a history of CVD (1.79, 1.00-3.20). No associations were found between the other HbA<sub>1c</sub> targets and CAD risk when participants with the Hp2-2 phenotype were grouped together or divided into subgroups.</p><p><strong>Conclusion: </strong>The differences in our results compared to our previous findings may be due to variations in the study populations and factors associated with weight loss, making it difficult to draw definitive conclusions. Our current findings should be considered in the context of hypothesis generation, and ideally, will encourage additional research in this field.</p>\",\"PeriodicalId\":9374,\"journal\":{\"name\":\"Cardiovascular Diabetology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466022/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cardiovascular Diabetology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12933-024-02448-z\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiovascular Diabetology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12933-024-02448-z","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
The relationship between repeated measurements of HbA1c and risk of coronary events among the common haptoglobin phenotype groups: the Action for Health in Diabetes (Look AHEAD) study.
Background: In the ACCORD study, participants with the haptoglobin (Hp) 2-2 phenotype and glycated hemoglobin (HbA1c) ≥ 8.0% had a higher risk of coronary artery disease (CAD) compared to those with HbA1c 7.0-7.9%. However, this association was not observed in participants without the Hp2-2 phenotype. The optimal glycemic target for CAD prevention for the Hp phenotypes remains uncertain and may vary based on demographic and clinical factors.
Objective: To investigate how reaching clinically relevant HbA1c targets relates to the risk of CAD in different Hp phenotype groups among a diverse cohort of individuals with T2DM (the Look AHEAD study, HbA1c ≤ 11% at baseline).
Methods: Cox regression models with time-varying covariables were used to quantify the association between time-varying achieved HbA1c (< 6.5%, 6.5-6.9%, and ≥ 8.0% compared to 7.0-7.9%), updated at years 1-4, 6, 8, and 10, and incident CAD in the Hp2-2 (n = 1,587) and non-Hp2-2 (n = 2,944) phenotypes separately. Further pre-specified subgroup analyses by age, sex, history of cardiovascular disease (CVD), race, and diabetes duration were performed in each Hp phenotype group separately.
Results: Compared with HbA1c 7.0-7.9%, having HbA1c < 6.5% was associated with a 29% lower CAD risk among participants with the non-Hp2-2 phenotype (adjusted HR 0.71, 95% CI 0.55-0.90). In subgroup analyses, this association was present in participants with the non-Hp2-2 phenotype who were male (0.60, 0.44-0.83), who did not have a history of CVD (0.65, 0.47-0.90), who were aged ≥ 65 years (0.64, 0.44-0.94), who were White (0.68, 0.51-0.91), or who had diabetes duration > 10 years (0.58, 0.35-0.95). HbA1c ≥ 8.0% was associated with CAD risk only among participants with the Hp2-2 phenotype who had a history of CVD (1.79, 1.00-3.20). No associations were found between the other HbA1c targets and CAD risk when participants with the Hp2-2 phenotype were grouped together or divided into subgroups.
Conclusion: The differences in our results compared to our previous findings may be due to variations in the study populations and factors associated with weight loss, making it difficult to draw definitive conclusions. Our current findings should be considered in the context of hypothesis generation, and ideally, will encourage additional research in this field.
期刊介绍:
Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.