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Xu S, Liu J, Zhao D, Yang N, Hao Y, Zhou Y, Zhu D, Cui M. The association between the AIP and undiagnosed diabetes in ACS patients with different body mass indexes and LDL-C levels: findings from the CCC-ACS project. Cardiovasc Diabetol 2024; 23:77. [PMID: 38378551 PMCID: PMC10880375 DOI: 10.1186/s12933-024-02162-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 02/09/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) has been demonstrated to be significantly associated with the incidence of prediabetes and diabetes. This study aimed to investigate the association between the AIP and undiagnosed diabetes in acute coronary syndrome (ACS) patients. METHODS Among 113,650 ACS patients treated with coronary angiography at 240 hospitals in the Improving Care for Cardiovascular Disease in China-ACS Project from 2014 to 2019, 11,221 patients with available clinical and surgical information were included. We analyzed these patients' clinical characteristics after stratification according to AIP tertiles, body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) levels. RESULTS The AIP was independently associated with a greater incidence of undiagnosed diabetes. The undiagnosed diabetes was significantly greater in the T3 group than in the T1 group after adjustment for confounders [T3 OR 1.533 (1.199-1.959) p < 0.001]. This relationship was consistent within normal weight patients and patients with an LDL-C level ≥ 1.8 mmol/L. In overweight and obese patients, the AIP was significantly associated with the incidence of undiagnosed diabetes as a continuous variable after adjustment for age, sex, and BMI but not as a categorical variable. The area under the receiver operating characteristic curve (AUC) of the AIP score, triglyceride (TG) concentration, and HDL-C concentration was 0.601 (0.581-0.622; p < 0.001), 0.624 (0.603-0.645; p < 0.001), and 0.493 (0.472-0.514; p = 0.524), respectively. A nonlinear association was found between the AIP and the incidence of undiagnosed diabetes in ACS patients (p for nonlinearity < 0.001), and this trend remained consistent between males and females. The AIP may be a negative biomarker associated with undiagnosed diabetes ranging from 0.176 to 0.738. CONCLUSION The AIP was significantly associated with the incidence of undiagnosed diabetes in ACS patients, especially in those with normal weight or an LDL-C level ≥ 1.8 mmol/L. A nonlinear relationship was found between the AIP and the incidence of undiagnosed diabetes, and this trend was consistent between male and female patients. The AIP may be a negative biomarker associated with undiagnosed diabetes and ranges from 0.176 to 0.738.
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Affiliation(s)
- Shuwan Xu
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China
| | - Jun Liu
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Dong Zhao
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Na Yang
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Yongchen Hao
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Yan Zhou
- Department of Epidemiology and Cardiology, Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China
| | - Dan Zhu
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
| | - Ming Cui
- Department of Cardiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
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Dessie G, Mulugeta H, Amare D, Negesse A, Wagnew F, Getaneh T, Endalamew A, Adamu YW, Tadesse G, Workineh A, Lebu S. A systematic analysis on prevalence and sub-regional distribution of undiagnosed diabetes mellitus among adults in African countries. J Diabetes Metab Disord 2020; 19:1931-1941. [PMID: 33553047 PMCID: PMC7843872 DOI: 10.1007/s40200-020-00635-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 09/13/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Despite the high prevalence of diabetes in Africa, the extent of undiagnosed diabetes in the region is still poorly understood. This systematic review and meta-analysis was designed to determine the pooled prevalence of undiagnosed diabetes mellitus among adults in Africa. METHODS We conducted a systematic desk review and electronic web-based search of PubMed, Google Scholar, EMBASE, and the World Health Organization's Hinari portal (which includes the SCOPUS, African Index Medicus, and African Journals Online databases), identifying peer-reviewed research studies on the prevalence of undiagnosed diabetes among adult individuals using pre-defined quality and inclusion criteria. We ran our search from June 1, 2018 to Jun 14, 2020. We extracted relevant data and presented descriptive summaries of the studies in tabular form. The I2 test was used to assess heterogeneity across studies. A random effects model was used to estimate the pooled prevalence of undiagnosed diabetes mellitus at a 95% confidence interval (CI). Funnel plot asymmetry and Egger's tests were used to check for publication bias. The final effect size was determined by applying a trim and fill analysis in a random-effects model. RESULTS Our search identified 1442 studies amongst which 23 articles were eligible for inclusion in the final meta-analysis. The average pooled prevalence of undiagnosed diabetes mellitus among adults was 3.85 (95% CI: 3.10-4.60). The pooled prevalence of undiagnosed diabetes mellitus based on geographic location was 4.43 (95% CI: 3.12-5.74) in Eastern Africa; 4.72 (95% CI: 2.64-6.80) in Western Africa; 4.27 (95% CI: 1.77-6.76) in Northern Africa and 1.46 (95%CI: 0.57-2.34) in southern Africa respectively. CONCLUSION Our findings indicate a high prevalence of undiagnosed diabetes in Africa and suggest that it may be more prevalent in Western Africa than the rest of the regions. Given the high levels of undiagnosed diabetes in the Africa region, more attention should be paid to incorporating diabetes screening and treatment services into existing diabetes related programs to reduce the prevalence of undiagnosed cases.
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Affiliation(s)
- Getenet Dessie
- Department of Nursing, School of Health Science, College of Medicine and Health Science, Bahr Dar University, Bahr Dar, Ethiopia
| | - Henok Mulugeta
- grid.449044.90000 0004 0480 6730Department of Nursing, College of Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Desalegne Amare
- Department of Nursing, School of Health Science, College of Medicine and Health Science, Bahr Dar University, Bahr Dar, Ethiopia
| | - Ayenew Negesse
- grid.449044.90000 0004 0480 6730Department of Human Nutrition and Food Science, College of Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Fasil Wagnew
- grid.449044.90000 0004 0480 6730Department of Nursing, College of Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Temsgen Getaneh
- grid.449044.90000 0004 0480 6730Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Akililu Endalamew
- Department of Nursing, School of Health Science, College of Medicine and Health Science, Bahr Dar University, Bahr Dar, Ethiopia
| | - Yibeltal Wubale Adamu
- Department of Biomedical Science, College of Medicine and Health Science, Bahr Dar University, Bahr Dar, Ethiopia
| | - Gizachew Tadesse
- Department of Biostatics and Epidemiology, School of public health, College of Medicine and Health Science, Bahr Dar University, Bahr Dar, Ethiopia
| | - Aster Workineh
- grid.47840.3f0000 0001 2181 7878School of Public Health, University of California, Berkeley, Berkeley, CA USA
| | - Sarah Lebu
- grid.47840.3f0000 0001 2181 7878School of Public Health, University of California, Berkeley, Berkeley, CA USA
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Jamaludin TSS, Jorani S, Saidi S. Knowledge, awareness, and perception of coronary heart disease (CHD) among residents in Kuantan, Pahang, Malaysia. ENFERMERIA CLINICA 2019. [DOI: 10.1016/j.enfcli.2019.04.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Wu H, Ouyang P, Sun W. High -density lipoprotein cholesterol as a predictor for diabetes mellitus. CASPIAN JOURNAL OF INTERNAL MEDICINE 2018; 9:144-150. [PMID: 29732032 PMCID: PMC5912222 DOI: 10.22088/cjim.9.2.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Background: Diabetes is a prevalent chronic disease around the world. To evaluate the risk of diabetes comprehensively, we developed a score model for risk prediction with HDL-C as a protective factor. Methods: We extracted physical examination data of 2728 individuals. The data contain 18 demographic and clinical variables. To identify the statistical significant feature variables, the backward stepwise logistic regression was used based on the data of the “exploratory population”. To ascertain the cutoff value of the selected variables, we used the Youden index. Then we assigned each variable level a score according to the estimated regression model coefficients and then calculated the individual’s total score. We gained the cutoff value for the total score through the Youden Index and stratified the total score into four levels. We employed the data of “validation population” to test the performance of the score model based on the area under the ROC curve. Results: Age, LDL-C, HDL-C, BMI, family history of diabetes, diastolic blood pressure and TCHO were selected as statistically significant variables. The diabetes risk score range varied from 0 to 17. The risk level categorized by the total score was low, middle, high and extremely high, with a score range of 0-2, 3-7, 8-12 and 13-17, respectively. Conclusions: The score model based on physical examination data is an efficient and valuable tool to evaluate and monitor the potential diabetes risk for both healthy and unhealthy people at an individual level.
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Affiliation(s)
- Hong Wu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Ouyang
- School of Management, Harbin Institute of Technology, Harbin, China
| | - Wenjun Sun
- School of Management, Harbin Institute of Technology, Harbin, China
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Bucholz EM, Gooding HC, de Ferranti SD. Awareness of Cardiovascular Risk Factors in U.S. Young Adults Aged 18-39 Years. Am J Prev Med 2018; 54:e67-e77. [PMID: 29433955 PMCID: PMC5893222 DOI: 10.1016/j.amepre.2018.01.022] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 01/18/2018] [Accepted: 01/18/2018] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Young adults with hyperlipidemia, hypertension, and diabetes are at increased risk of developing heart disease later in life. Despite emphasis on early screening, little is known about awareness of these risk factors in young adulthood. METHODS Data from the nationally representative cross-sectional National Health and Nutrition Examination Survey 2011-2014 were analyzed in 2017 to estimate the prevalence of self-reported awareness of hypercholesterolemia, hypertension, and diabetes in U.S. young adults aged 18-39 years (n=11,083). Prevalence estimates were weighted to population estimates using survey procedures, and predictors of awareness were identified using weighted logistic regression. RESULTS Among U.S. young adults, the prevalence of hypercholesterolemia, hypertension, and diabetes was 8.8% (SE=0.4%); 7.3% (SE=0.3%); and 2.6% (SE=0.2%), respectively. The prevalence of borderline high cholesterol, blood pressure, and blood glucose were substantially higher (21.6% [SE= 0.6%]; 26.9% [SE=0.7%]; and 18.9% [SE=0.6%], respectively). Awareness was low for hypercholesterolemia (56.9% [SE=2.4%]) and moderate for hypertension and diabetes (62.7% [SE=2.4%] and 70.0% [SE=2.7%]); <25% of young adults with borderline levels of these risk factors were aware of their risk. Correlates of risk factor awareness included older age, insurance status, family income above the poverty line, U.S. origin, having a usual source of health care, and the presence of comorbid conditions. CONCLUSIONS Despite the high prevalence of cardiovascular risk factors in U.S. young adults, awareness remains less than ideal. Interventions that target access may increase awareness and facilitate achieving treatment goals in young adults.
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Affiliation(s)
- Emily M Bucholz
- Department of Medicine, Boston Children's Hospital, Boston, Massachusetts.
| | - Holly C Gooding
- Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, Massachusetts; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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Ding L, Xu Y, Wang L, Xu M, Jiang Y, Zhang M, Li Y, Lu J, Wang T, Dai M, Zhang D, Wang W, Zhao W, Wang L, Bi Y, Ning G. The cardiometabolic risk profile of Chinese adults with diabetes: A nationwide cross-sectional survey. J Diabetes Complications 2017; 31:43-52. [PMID: 27838099 DOI: 10.1016/j.jdiacomp.2016.10.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 10/09/2016] [Accepted: 10/21/2016] [Indexed: 12/27/2022]
Abstract
AIMS We aimed to estimate the cardiometabolic risk profile of Chinese adults with diabetes. METHODS We conducted a nationally representative survey of 98,658 noninstitutionalized Chinese adults aged ≥18years using a complex, multistage, probability sampling design in 2010. Diabetes was defined in 12,607 participants according to the 2010 American Diabetes Association criteria. All estimates were weighted to represent the overall Chinese adults with diabetes. RESULTS Among Chinese adults with diabetes, the weighted prevalence estimates were 47.5% (95% confidence interval (CI): 46.4%-48.7%) for low fruit and vegetable intake, 20.3% (19.3%-21.2%) for low physical activity, 27.2% (26.2%-28.3%) for current smoking, 10.9% (10.3%-11.7%) for obesity, 52.2% (51.0%-53.3%) for systolic blood pressure (BP) ≥140mmHg, 46.8% (45.6%-47.9%) for low-density lipoprotein (LDL) cholesterol ≥100mg/dL, 36.4% (35.3%-37.5%) for hemoglobin A1c (HbA1c) ≥7.0% (53mmol/mol), and 69.5% (68.4%-70.6%) for metabolic syndrome. Proportions of Chinese patients with diabetes with 0, 1, 2, 3, and 4 cardiometabolic risk factors including current smoking, systolic BP ≥140mmHg, LDL cholesterol ≥100mg/dL, and HbA1c≥7.0% (53mmol/mol) were 13.4% (12.6%-14.2%), 32.9% (31.8%-33.9%), 35.0% (33.9%-36.1%), 16.2% (15.4%-17.0%), and 2.6% (2.3%-3.0%), respectively. CONCLUSIONS Cardiometabolic risk factors were highly prevalent among Chinese with diabetes. Effective interventions should be taken.
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Affiliation(s)
- Lin Ding
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Min Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yong Jiang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mei Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yichong Li
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jieli Lu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Meng Dai
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Wenhua Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Linhong Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Yufang Bi
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
| | - Guang Ning
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, and Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
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Determinants of prevalence, awareness, treatment and control of high LDL-C in Turkey. Anatol J Cardiol 2016; 16:370-84. [PMID: 27282671 PMCID: PMC5331367 DOI: 10.14744/anatoljcardiol.2016.7018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Objective: High blood cholesterol is one of the main modifiable risk factors for cardiovascular diseases (CVDs). The aim of the study is to determine the factors associated with the prevalence, awareness, treatment, and control of high “low-density lipoprotein-cholesterol” (LDL-C) among adults aged ≥20 years in Turkey. Methods: We used data from Chronic Diseases and Risk Factors Survey conducted in 2011–2012. The presence of high LDL-C, lipid-lowering treatment eligibility, and achievement of target LDL-C were defined according to the third Adult Treatment Panel guidelines on treatment of high cholesterol. Multivariate logistic regression analyses were performed to determine the associations between participant characteristics and high LDL-C prevalence, awareness, treatment, and control. Results: Framingham risk score categorization was performed for 13121 individuals aged ≥20 years. Approximately, 28% of the participants presented with high LDL-C. Among those with high LDL-C, 55.8% were aware of their situation; among those aware of high LDL-C, 46.9% were receiving lipid-lowering medication, and 50.6% of individuals who were receiving treatment achieved target LDL-C levels on the basis of their coronary heart disease (CHD) risk. Control of high LDL-C was negatively associated with the presence of diabetes mellitus (odds ratio: 0.36, 95% CI: 0.27–0.49, p<0.001). Conclusion: Despite the high awareness rates, there was a high proportion of adults who did not receive treatment or achieve recommended levels of LDL-C during treatment. The low treatment and control levels among individuals based on their CHD risk levels call for a better application of recommendations regarding personal preventive measures and treatments in Turkey.
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Lee YH, Armstrong EJ, Kim G, Oh J, Kang SM, Lee BW, Ahn CW, Cha BS, Lee HC, Mantzoros CS, Kang ES. Undiagnosed diabetes is prevalent in younger adults and associated with a higher risk cardiometabolic profile compared to diagnosed diabetes. Am Heart J 2015; 170:760-769.e2. [PMID: 26386800 DOI: 10.1016/j.ahj.2015.07.024] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 07/20/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND A substantial percentage of patients have undiagnosed diabetes. We investigated the demographic characteristics and cardiometabolic profiles of subjects with undiagnosed diabetes. METHODS A cross-sectional study with nationally representative samples of 25490 subjects aged ≥ 20 years from the KHNANES 2008 to 2011, which applied a complex, multistage, probability proportional to size sampling design. Subjects were categorized as having normal glucose (n = 16880), impaired fasting glucose (n = 5771), undiagnosed diabetes (n = 713), or diagnosed diabetes (n = 2126). Hyper low-density lipoprotein cholesterolemia was individually evaluated by the 2004 Adult Treatment Panel III guidelines and predicted risk of cardiovascular disease was estimated from the Framingham model. RESULTS Among overall subjects with diabetes, the prevalence of undiagnosed diabetes was markedly increased in younger adults compared to older adults (49% in diabetic subjects <50 years vs 23% in diabetic subjects ≥50 years, P < .001), suggesting significant discrepancies in age-based screening. Patients with undiagnosed diabetes were also more likely to have undiagnosed or uncontrolled hypertension and hyper-low-density lipoprotein cholesterolemia. Individuals with undiagnosed diabetes had a significantly higher predicted 10-year Framingham cardiovascular disease risk than those with diagnosed diabetes (11% vs 8% in <50 years, 33% vs 30% in ≥50 years; both P < .001). Patients with undiagnosed diabetes were also more likely to have multiple cardiovascular risk factors including obesity, smoking and uncontrolled hypertension. CONCLUSIONS People with undiagnosed diabetes have a higher predicted risk for cardiovascular disease compared to those with diagnosed diabetes. Intensive screening for diabetes in younger adults should be stressed in public healthcare to reduce the burden of modifiable cardiometabolic risk among individuals with undiagnosed diabetes.
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Affiliation(s)
- Xiaolong Sun
- Department
of Chemistry, University of Bath, Bath, BA2 7AY, United Kingdom
| | - Tony D. James
- Department
of Chemistry, University of Bath, Bath, BA2 7AY, United Kingdom
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Wang T, Xu Y, Xu M, Wang W, Bi Y, Lu J, Dai M, Zhang D, Ding L, Xu B, Sun J, Zhao W, Jiang Y, Wang L, Li Y, Zhang M, Lai S, Wang L, Ning G. Awareness, treatment and control of cardiometabolic disorders in Chinese adults with diabetes: a national representative population study. Cardiovasc Diabetol 2015; 14:28. [PMID: 25848699 PMCID: PMC4356058 DOI: 10.1186/s12933-015-0191-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Accepted: 02/10/2015] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The diagnosis of diabetes has important clinic implications for the prevention and management of cardiometabolic disorders. We aimed to investigate the awareness, treatment and control of hypertension and dyslipidemia in previously-diagnosed and newly-diagnosed diabetes in Chinese adult population. METHODS We conducted a cross-sectional survey in a nationally representative sample of 98658 Chinese adults aged 18 years or older in 2010, using a complex, multistage, probability sampling design. Glycemic status were defined according to the 2010 American Diabetes Association criteria. Hypertension was diagnosed by the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Dyslipidemia was diagnosed by the 2004 National Cholesterol Education Program Adult Treatment Panel III. RESULTS The weighted prevalence of hypertension and dyslipidemia gradually increased in adults with normal glucose regulation, prediabetes, newly-diagnosed diabetes and previously-diagnosed diabetes. Compared to newly-diagnosed diabetes patients, previously-diagnosed diabetes patients were more likely to be aware of hypertension (weighted percentage [95% confidence interval]: 55.2% [52.9%-57.5%] vs 37.6% [35.9%-39.3%]) and dyslipidemia (33.9% [31.8%-36.1%] vs 12.8% [11.7%-13.9%]), to receive blood pressure-lowing (43.7% [41.5%-46.0%] vs 27.5% [26.0%-29.0%]) and lipid-lowering (18.9% [17.2%-20.7%] vs 5.4% [4.6%-6.2%]) therapies, and to have controlled blood pressure (4.7% [3.5%-6.2%] vs 3.5% [2.6%-4.8%]) and lipid (15.9% [12.3%-20.3%] vs 9.5% [6.4%-13.8%]) levels. CONCLUSIONS Detection and control of hypertension and dyslipidemia is far from optimal in Chinese adults, especially in newly-diagnosed diabetes. Improved screening for diabetes is required to promote a better prevention, treatment and control of hypertension and dyslipidemia in China.
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Carson AP, Tanner RM, Yun H, Glasser SP, Woolley JM, Thacker EL, Levitan EB, Farkouh ME, Rosenson RS, Brown TM, Howard G, Safford MM, Muntner P. Declines in coronary heart disease incidence and mortality among middle-aged adults with and without diabetes. Ann Epidemiol 2014; 24:581-7. [PMID: 24970491 PMCID: PMC4135722 DOI: 10.1016/j.annepidem.2014.05.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 04/24/2014] [Accepted: 05/13/2014] [Indexed: 11/26/2022]
Abstract
PURPOSE The purpose of the study was to investigate secular changes in coronary heart disease (CHD) incidence and mortality among adults with and without diabetes and to determine the effect of increased lipid-lowering medication use and reductions in low-density lipoprotein cholesterol (LDL-C) levels on these changes. METHODS We analyzed data on participants aged 45 to 64 years from the Atherosclerosis Risk in Communities Study in 1987-1996 (early period) and the Reasons for Geographic and Racial Differences in Stroke Study in 2003-2009 (late period). Hazard ratios (HRs) for the association of diabetes and period with incident CHD and CHD mortality were obtained after adjustment for sociodemographics cardiovascular risk factors, lipid-lowering medication use, and LDL-C. RESULTS After multivariable adjustment, diabetes was associated with an increased CHD risk during the early (HR = 1.99, 95% confidence interval = 1.59-2.49) and late (HR = 2.39, 95% confidence interval = 1.69-3.35) periods. CHD incidence and mortality declined between the early and late periods for individuals with and without diabetes. Increased use of lipid-lowering medication and lower LDL-C explained 33.6% and 27.2% of the decline in CHD incidence and CHD mortality, respectively, for those with diabetes. CONCLUSIONS Although rates have declined, diabetes remains associated with an increased risk of CHD incidence and mortality, highlighting the need for continuing diabetes prevention and cardiovascular risk factor management.
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Affiliation(s)
- April P Carson
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham.
| | - Rikki M Tanner
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham
| | - Huifeng Yun
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham
| | - Stephen P Glasser
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham
| | | | - Evan L Thacker
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham
| | - Emily B Levitan
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham
| | - Michael E Farkouh
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Peter Munk Cardiac Centre and Heart and Stroke Richard Lewar Centre of Excellence, University of Toronto
| | - Robert S Rosenson
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Todd M Brown
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham
| | - George Howard
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham
| | - Monika M Safford
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham
| | - Paul Muntner
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham; Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham
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12
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Gupta A, Gupta R, Sharma KK, Lodha S, Achari V, Asirvatham AJ, Bhansali A, Gupta B, Gupta S, Jali MV, Mahanta TG, Maheshwari A, Saboo B, Singh J, Deedwania PC. Prevalence of diabetes and cardiovascular risk factors in middle-class urban participants in India. BMJ Open Diabetes Res Care 2014; 2:e000048. [PMID: 25489485 PMCID: PMC4256307 DOI: 10.1136/bmjdrc-2014-000048] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Revised: 10/07/2014] [Accepted: 10/29/2014] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES To determine the prevalence of diabetes and awareness, treatment and control of cardiovascular risk factors in population-based participants in India. METHODS A study was conducted in 11 cities in different regions of India using cluster sampling. Participants were evaluated for demographic, biophysical, and biochemical risk factors. 6198 participants were recruited, and in 5359 participants (86.4%, men 55%), details of diabetes (known or fasting glucose >126 mg/dL), hypertension (known or blood pressure >140/>90 mm Hg), hypercholesterolemia (cholesterol >200 mg/dL), low high-density lipoprotein (HDL) cholesterol (men <40, women <50 mg/dL), hypertriglyceridemia (>150 mg/dL), and smoking/tobacco use were available. Details of awareness, treatment, and control of hypertension and hypercholesterolemia were also obtained. RESULTS The age-adjusted prevalence (%) of diabetes was 15.7 (95% CI 14.8 to 16.6; men 16.7, women 14.4) and that of impaired fasting glucose was 17.8 (16.8 to 18.7; men 17.7, women 18.0). In participants with diabetes, 27.6% were undiagnosed, drug treatment was in 54.1% and control (fasting glucose ≤130 mg/dL) in 39.6%. Among participants with diabetes versus those without, prevalence of hypertension was 73.1 (67.2 to 75.0) vs 26.5 (25.2 to 27.8), hypercholesterolemia 41.4 (38.3 to 44.5) vs 14.7 (13.7 to 15.7), hypertriglyceridemia 71.0 (68.1 to 73.8) vs 30.2 (28.8 to 31.5), low HDL cholesterol 78.5 (75.9 to 80.1) vs 37.1 (35.7 to 38.5), and smoking/smokeless tobacco use in 26.6 (23.8 to 29.4) vs 14.4 (13.4 to 15.4; p<0.001). Awareness, treatment, and control, respectively, of hypertension were 79.9%, 48.7%, and 40.7% and those of hypercholesterolemia were 61.0%, 19.1%, and 45.9%, respectively. CONCLUSIONS In the urban Indian middle class, more than a quarter of patients with diabetes are undiagnosed and the status of control is low. Cardiovascular risk factors-hypertension, hypercholesterolemia, low HDL cholesterol, hypertriglyceridemia, and smoking/smokeless tobacco use-are highly prevalent. There is low awareness, treatment, and control of hypertension and hypercholesterolemia in patients with diabetes.
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Affiliation(s)
- Arvind Gupta
- Department of Diabetes, Jaipur Diabetes Research Centre, Jaipur, Rajasthan, India
| | - Rajeev Gupta
- Departments of Medicine and Endocrinology, Fortis Escorts Hospital, Jaipur, Rajasthan, India
| | - Krishna Kumar Sharma
- Department of Pharmacy, SMS Medical College, Rajasthan University of Health Sciences, Jaipur, Rajasthan, India
| | - Sailesh Lodha
- Departments of Medicine and Endocrinology, Fortis Escorts Hospital, Jaipur, Rajasthan, India
| | - Vijay Achari
- Department of Medicine, Patna Medical College, Patna, Bihar, India
| | - Arthur J Asirvatham
- Department of Medicine, Government Medical College, Madurai, Tamil Nadu, India
| | - Anil Bhansali
- Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Balkishan Gupta
- Department of Medicine, SP Medical College, Bikaner, Rajasthan, India
| | - Sunil Gupta
- Department of Diabetes, Diabetes Care and Research Centre, Nagpur, Maharashtra, India
| | | | - Tulika G Mahanta
- Department of Community Medicine, Assam Medical College, Dibrugarh, Assam, India
| | - Anuj Maheshwari
- Department of Medicine, BBD College of Dental Sciences, Lucknow, Uttar Pradesh, India
| | - Banshi Saboo
- Department of Diabetes, DiaCare and Research, Ahmadabad, Gujarat, India
| | - Jitendra Singh
- Department of Medicine, Government Medical College, Jammu, Jammu and Kashmir, India
| | - Prakash C Deedwania
- Department of Cardiology, University of California San Francisco VA Medical Center, Fresno, California, USA
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