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Xu B, Kang B, Zhou J. Sodium glucose cotransporter 2 inhibitors with cardiac arrhythmias in patients with type 2 diabetes mellitus: a systematic review and meta-analysis of randomized placebo-controlled trials. Clin Res Cardiol 2024; 113:910-923. [PMID: 38353684 DOI: 10.1007/s00392-024-02386-6] [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: 08/08/2023] [Accepted: 01/25/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is associated with an increased risk of cardiac arrhythmias, which increases serious morbidity and mortality. Novel hypoglycemic drug sodium glucose cotransporter 2 (SGLT2) inhibitor has shown sufficient cardiovascular benefits in cardiovascular outcome trials. OBJECTIVE This systematic review and meta-analysis aimed to investigate the relationship between SGLT2 inhibitors and cardiac arrhythmias in patients with T2DM. METHODS We searched on PubMed and ClinicalTrials.gov for at least 24 weeks of randomized double-blind placebo-controlled trials involving T2DM subjects assigned to SGLT2 inhibitors or placebo as of May 5, 2023. Risk ratio (RR) with 95% confidence interval (CI) were used for binary variables. Primary outcomes included atrial arrhythmias, ventricular arrhythmias, bradyarrhythmias, cardiac arrest, and atrial fibrillation/atrial flutter. Secondary outcomes comprised atrial fibrillation, atrial flutter, ventricular fibrillation, ventricular tachycardia, atrioventricular block, and sinus node dysfunction. RESULTS We included 32 trials covering 60,594 T2DM patients (SGLT2 inhibitor 35,432; placebo 25,162; mean age 53.9 to 68.5 years). SGLT2 inhibitors significantly reduced the risk of atrial arrhythmias (RR 0.86; 95%CI 0.74-0.99; P = 0.04) or atrial fibrillation/flutter (RR 0.85; 95%CI 0.74-0.99; P = 0.03) compared to placebo; in subgroup analysis, SGLT2 inhibitors achieved a consistent effect with overall results in T2DM with high cardiovascular risk or follow-up > 1 year populations. There was no substantial evidence to suggest that SGLT2 inhibitors reduced the risk of ventricular arrhythmias (RR 0.94; 95%CI 0.71-1.26; P = 0.69) and cardiac arrest (RR 0.88; 95%CI 0.66-1.18; P = 0.39). A neutral effect of SGLT2 inhibitors on bradyarrhythmias was observed (RR 1.02; 95%CI 0.79-1.33; P = 0.85). SGLT2 inhibitors had no significant impact on all secondary outcomes compared to placebo, while it had borderline effect for atrial fibrillation. CONCLUSION SGLT2 inhibitors were associated with a reduced risk of atrial arrhythmias in patients with T2DM. Our results support the use of SGLT2 inhibitors in T2DM with high cardiovascular risk populations. We also recommend the long-term use of SGLT2 inhibitors to achieve further benefits.
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Affiliation(s)
- Bo Xu
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Bo Kang
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Jiecan Zhou
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
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Hirschberg AL. Hyperandrogenism and Cardiometabolic Risk in Pre- and Postmenopausal Women-What Is the Evidence? J Clin Endocrinol Metab 2024; 109:1202-1213. [PMID: 37886900 PMCID: PMC11031217 DOI: 10.1210/clinem/dgad590] [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: 08/15/2023] [Indexed: 10/28/2023]
Abstract
Hyperandrogenism in women, such as polycystic ovary syndrome, ovarian hyperthecosis, congenital adrenal hyperplasia, and androgen-secreting tumors, are all associated with increased prevalence of cardiovascular risk factors that include type 2 diabetes, hypertension, dyslipidemia, and metabolic syndrome. However, it is not clear whether this also implies enhanced risk of cardiovascular disease and mortality. Furthermore, the involvement of obesity and menopausal status for cardiometabolic risk in these women has not been elucidated. Based on the most recent systematic reviews and meta-analyses, this review summarizes the latest scientific evidence. To conclude, hyperandrogenism in premenopausal women is associated with enhanced prevalence of cardiovascular risk factors, as well as increased risk of cardiovascular disease and mortality, independently of body mass index. In contrast, elevated cardiovascular risk factors and increased risk of myocardial infarction and stroke in hyperandrogenic postmenopausal women are dependent on obesity. Furthermore, the overall risk of cardiovascular disease and coronary artery disease in hyperandrogenic postmenopausal women is similar to controls. The reason for a reduced cardiometabolic risk after menopause in hyperandrogenic women compared to nonhyperandrogenic women is not clear. It can be speculated that the difference in endocrine balance and metabolic status between women with and without hyperandrogenism might decrease after menopause because hyperandrogenism usually improves with age, whereas menopausal transition itself is associated with androgen dominance and abdominal obesity. Although we have gained increased knowledge about cardiometabolic risks in women with hyperandrogenism, it must be acknowledged that the quality of data is overall low. More research is needed, especially longer and larger follow-up studies in women with hyperandrogenism of different etiologies and phenotypes.
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Affiliation(s)
- Angelica Lindén Hirschberg
- Department of Women's and Children's Health, Karolinska Institutet and Department of Gynecology and Reproductive Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden
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Al-Omar HA, Almodaimegh HS, Omaer A, Alzubaidi LM, Al-Harbi B, Al-Harbi I, Hassan M, Akhtar O. Budget impact analysis for three glucagon-like peptide-1 receptor agonist-based therapies for type 2 diabetes mellitus management in Saudi Arabia. J Med Econ 2024; 27:418-429. [PMID: 38420695 DOI: 10.1080/13696998.2024.2319458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 02/13/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND AND OBJECTIVES This study presents a budget impact analysis (BIA) conducted in Saudi Arabia, evaluating the cost implications of adopting semaglutide, tirzepatide, or dulaglutide in the management of type 2 diabetes mellitus (T2DM) patients. The analysis aims to assess the individual budgetary impact of these treatment options on healthcare budgets and provide insights for decision-makers. METHODS A prevalence-based BIA was developed using real-world and clinical trials data. The model considered disease epidemiology, medication prices, diabetes management expenses, cardiovascular (CV) complications costs, and weight reduction savings over a 5-year time horizon. One-way and probabilistic sensitivity analyses (OWSA, PSA) were performed to assess the robustness of the results. RESULTS Over a 5-year period, the cumulative budget impact for semaglutide, tirzepatide, and dulaglutide were 85,923,089 USD, 169,790,195 USD, and 94,558,356 USD, respectively. Hypothetical scenarios considering price parity between semaglutide and tirzepatide are associated with financial impacts of 85,923,091 USD and 86,475,335 USD, respectively. In the public sector, semaglutide showed the lowest incidence of 3-point major adverse CV events (3P-MACE), with tirzepatide leading in weight loss and HbA1c reduction, and dulaglutide presenting the highest 3P-MACE rates and least improvements in HbA1c and weight. A breakeven analysis suggested that tirzepatide's list price would need to be $199.91 lower than its current list price to achieve budget impact parity with semaglutide based on currently available evidence. Results from the OWSA suggested that risk reductions for CV events were key drivers of budget impact. PSA results were confirmatory of base-case analyses. CONCLUSIONS CV cost-offsets and drug acquisition considerations may make semaglutide a favorable use of resources for Saudi budget planners and decision-makers. These results were robust to assumptions regarding the list price of tirzepatide.
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Affiliation(s)
- Hussain A Al-Omar
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- Health Technology Assessment Unit, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Hind S Almodaimegh
- College of Pharmacy, King Saud bin Abdul-Aziz University for Health Sciences, Riyadh, Saudi Arabia
- Pharmaceutical Care Department, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Abubker Omaer
- Department of Clinical Pharmacy, King Saud Medical City, Riyadh, Saudi Arabia
| | | | - Bandar Al-Harbi
- Department of Pharmacy, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Ibtisam Al-Harbi
- Department of Pharmacy, Jeddah Military Hospital, Jeddah, Saudi Arabia
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Mita T, Katakami N, Yoshii H, Onuma T, Kaneto H, Osonoi T, Shiraiwa T, Yasuda T, Umayahara Y, Yamamoto T, Yokoyama H, Kuribayashi N, Jinnouchi H, Gosho M, Shimomura I, Watada H. Long-term efficacy and safety of early alogliptin initiation in subjects with type 2 diabetes: an extension of the SPEAD-A study. Sci Rep 2023; 13:14649. [PMID: 37669959 PMCID: PMC10480471 DOI: 10.1038/s41598-023-41036-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/21/2023] [Indexed: 09/07/2023] Open
Abstract
We previously reported in the study of preventive effects of alogliptin on diabetic atherosclerosis (SPEAD-A) that alogliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor, attenuated the progression of carotid atherosclerosis in subjects with type 2 diabetes and no history of cardiovascular disease. This extension study of the SPEAD-A trial investigated whether early alogliptin initiation improved long-term cardiovascular outcomes. The SPEAD-A trial randomized 341 subjects with type 2 diabetes to either alogliptin or conventional treatment to investigate the effects of alogliptin on atherosclerosis. All subjects who completed that trial were eligible for this prospective, observational cohort study. The primary endpoint was the first occurrence of a major cardiovascular event, defined as death due to any cause, acute myocardial infarction, or stroke. During the 520-week follow-up period, composite primary outcome events occurred in only a few subjects in each group [8 (5.4%) in the alogliptin group and 9 in the conventional treatment group (5.9%)]. There were no significant differences in the incidence rate of the primary outcome between the two groups. Post hoc Poisson regression analysis showed no significant difference between the two groups in the incidence rate of composite recurrence events for the same outcomes as the primary endpoint. On the other hand, this incidence rate was significantly lower in subjects who received DPP-4 inhibitors before an initial cardiovascular event than in those who did not (5.8 vs. 13.3 per 1000 person-years, respectively, p = 0.04). Early initiation of alogliptin was not associated with a reduced risk of composite cardiovascular disease, which could be attributed to fewer events and/or the addition of DPP-4 inhibitors during the follow-up period.
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Grants
- a grant from the Japan Cardiovascular Research Foundation
- Astellas Pharma Inc., AstraZeneca K.K., Bayer Holding, Daiichi Sankyo Co., Dainippon Sumitomo Pharma Co., Eli Lilly Japan K.K., MSD K.K., Nippon Boehringer Ingelheim Co., Novartis Pharma K.K., Novo Nordisk Pharma Ltd., Pfizer Japan Inc., Sanofi-Aventis K.K., Sanwa Kakgaku Kenkyusho Co., Shionogi & Co., and Takeda Pharmaceutical Company.
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Affiliation(s)
- Tomoya Mita
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-Ku, Tokyo, 113-8421, Japan.
| | - Naoto Katakami
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Hidenori Yoshii
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Center, Shinsuna 3-3-20, Koto-Ku, Tokyo, 136-0075, Japan
| | - Tomio Onuma
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Center, Shinsuna 3-3-20, Koto-Ku, Tokyo, 136-0075, Japan
| | - Hideaki Kaneto
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, 577 Matsushima, Kurashiki, Okayama, 701-0192, Japan
| | - Takeshi Osonoi
- Naka Kinen Clinic, 745-5, Nakadai, Naka City, Ibaraki, 311-0113, Japan
| | - Toshihiko Shiraiwa
- Shiraiwa Medical Clinic, 1-12-8 Hirano, Kashiwara, Osaka, 582-0019, Japan
| | - Tetsuyuki Yasuda
- Osaka Police Hospital, 10-31 Kitayamacho, Tennoji-Ku, Osaka, 543-0035, Japan
| | - Yutaka Umayahara
- Osaka General Medical Center, 3-1-56 Bandai-Higashi, Sumiyoshi-Ku, Osaka, 558-8558, Japan
| | - Tsunehiko Yamamoto
- Kansai Rosai Hospital, 3-1-69 Inabasou, Amagasaki-Shi, Hyogo, 660-8511, Japan
| | - Hiroki Yokoyama
- Jiyugaoka Medical Clinic, Internal Medicine, West 6, South 6-4-3, Obihiro, Hokkaido, 080-0016, Japan
| | | | | | - Masahiko Gosho
- Department of Biostatistics, Institute of Medicine, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Hongo 2-1-1, Bunkyo-Ku, Tokyo, 113-8421, Japan
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Sarraju A, Zammit A, Ngo S, Witting C, Hernandez‐Boussard T, Rodriguez F. Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records. J Am Heart Assoc 2023; 12:e028120. [PMID: 36974740 PMCID: PMC10122887 DOI: 10.1161/jaha.122.028120] [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: 09/12/2022] [Accepted: 02/07/2023] [Indexed: 03/29/2023]
Abstract
Background Statins are guideline-recommended medications that reduce cardiovascular events in patients with diabetes. Yet, statin use is concerningly low in this high-risk population. Identifying reasons for statin nonuse, which are typically described in unstructured electronic health record data, can inform targeted system interventions to improve statin use. We aimed to leverage a deep learning approach to identify reasons for statin nonuse in patients with diabetes. Methods and Results Adults with diabetes and no statin prescriptions were identified from a multiethnic, multisite Northern California electronic health record cohort from 2014 to 2020. We used a benchmark deep learning natural language processing approach (Clinical Bidirectional Encoder Representations from Transformers) to identify statin nonuse and reasons for statin nonuse from unstructured electronic health record data. Performance was evaluated against expert clinician review from manual annotation of clinical notes and compared with other natural language processing approaches. Of 33 461 patients with diabetes (mean age 59±15 years, 49% women, 36% White patients, 24% Asian patients, and 15% Hispanic patients), 47% (15 580) had no statin prescriptions. From unstructured data, Clinical Bidirectional Encoder Representations from Transformers accurately identified statin nonuse (area under receiver operating characteristic curve [AUC] 0.99 [0.98-1.0]) and key patient (eg, side effects/contraindications), clinician (eg, guideline-discordant practice), and system reasons (eg, clinical inertia) for statin nonuse (AUC 0.90 [0.86-0.93]) and outperformed other natural language processing approaches. Reasons for nonuse varied by clinical and demographic characteristics, including race and ethnicity. Conclusions A deep learning algorithm identified statin nonuse and actionable reasons for statin nonuse in patients with diabetes. Findings may enable targeted interventions to improve guideline-directed statin use and be scaled to other evidence-based therapies.
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Affiliation(s)
- Ashish Sarraju
- Division of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCA
- Department of Cardiovascular MedicineCleveland Clinic FoundationClevelandOH
| | - Alban Zammit
- Department of MedicineStanford UniversityStanfordCA
- Department of Biomedical Data ScienceStanford UniversityStanfordCA
| | - Summer Ngo
- Division of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCA
| | - Celeste Witting
- Division of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCA
| | - Tina Hernandez‐Boussard
- Department of MedicineStanford UniversityStanfordCA
- Department of Biomedical Data ScienceStanford UniversityStanfordCA
- Department of SurgeryStanford University School of MedicineStanfordCA
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and Cardiovascular InstituteStanford UniversityStanfordCA
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Methnani J, Hajbelgacem M, Ach T, Chaieb F, Sellami S, Bouslama A, Zaouali M, Omezzine A, Bouhlel E. Effect of Pre-Meal Metformin With or Without an Acute Exercise Bout on Postprandial Lipemic and Glycemic Responses in Metabolic Syndrome Patients: A Randomized, Open Label, Crossover Study. J Cardiovasc Pharmacol Ther 2023; 28:10742484231156318. [PMID: 36802839 DOI: 10.1177/10742484231156318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
INTRODUCTION Both exercise and pre-meal metformin could lower postprandial glucose and lipid profiles. AIMS To explore whether pre-meal metformin administration is superior to metformin administration with the meal in reducing postprandial lipid and glucose metabolism, and whether its combination with exercise confer superior benefits in metabolic syndrome patients. MATERIALS AND METHODS In a randomized crossover design, 15 metabolic syndrome patients were assigned to 6 sequences including 3 experimental conditions: metformin administration with a test meal (met-meal), metformin administration 30 min prior to a test meal (pre-meal-met) with or without an exercise bout designed to expend 700 Kcal at 60% VO2 peak performed the evening just before pre-meal-met condition. Only 13 participants (3 males, 10 females; age: 46 ± 9.86, HbA1c: 6.23 ± 0.36) were included in the final analysis. RESULTS Postprandial triglyceridemia was unaffected by any condition (all P > .05). However, both pre-meal-met (-7.1%, P = .009) and pre-meal-metx (-8.2%, P = .013) significantly reduced total cholesterol AUC with no significant differences between the two latter condition (P = .616). Similarly, LDL-cholesterol levels were significantly lower during both pre-meal-met (-10.1%, P = .013) and pre-meal-metx (-10.7%, P = .021) compared to met-meal with no difference between latter conditions (P = .822). Plasma glucose AUC was significantly reduced by pre-meal-metx compared to both pre-meal-met (-7.5%, P = .045) and met-meal (-8%, P = .03). Insulin AUC was significantly lower during pre-meal-metx compared to met-meal (-36.4%, P = .044). CONCLUSIONS Metformin administration 30 minutes prior to meal seems to exert favorable effects on postprandial TC and LDL-Cholesterol levels compared to its administration with meal. Addition of one exercise bout only improved postprandial glycemia and insulinemia. TRIAL REGISTRY Pan African clinical trial registry, Identifier PACTR202203690920424.
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Affiliation(s)
- Jabeur Methnani
- University of Manouba, High Institute of Sport and Physical Education, Ksar Said, Tunis, Tunisia.,LR12SP11, Biochemistry Department, Sahloul University Hospital, Sousse, Tunisia.,LR19ES09, Laboratoire de Physiologie de l'Exercice et Physiopathologie: de l'Intégré au Moléculaire Biologie, Médecine et Santé, Faculty of Medicine of Sousse, Sousse, Tunisia
| | - Marwa Hajbelgacem
- LR12SP11, Biochemistry Department, Sahloul University Hospital, Sousse, Tunisia.,Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia
| | - Taieb Ach
- LR19ES09, Laboratoire de Physiologie de l'Exercice et Physiopathologie: de l'Intégré au Moléculaire Biologie, Médecine et Santé, Faculty of Medicine of Sousse, Sousse, Tunisia.,Department of Endocrinology, University Hospital of Farhat Hached, Sousse, Tunisia.,Faculty of Medicine of Sousse, University of Sousse, Sousse, Tunisia
| | - Faten Chaieb
- LR19ES09, Laboratoire de Physiologie de l'Exercice et Physiopathologie: de l'Intégré au Moléculaire Biologie, Médecine et Santé, Faculty of Medicine of Sousse, Sousse, Tunisia.,Faculty of Medicine of Sousse, University of Sousse, Sousse, Tunisia.,Department of Physiology and Functional Exploration, Farhat Hached University Hospital of Sousse, Tunisia
| | - Sana Sellami
- Department of Physiology and Functional Exploration, Farhat Hached University Hospital of Sousse, Tunisia
| | - Ali Bouslama
- LR12SP11, Biochemistry Department, Sahloul University Hospital, Sousse, Tunisia.,Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia
| | - Monia Zaouali
- LR12SP11, Biochemistry Department, Sahloul University Hospital, Sousse, Tunisia.,Faculty of Medicine of Sousse, University of Sousse, Sousse, Tunisia
| | - Asma Omezzine
- LR12SP11, Biochemistry Department, Sahloul University Hospital, Sousse, Tunisia.,Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia
| | - Ezdine Bouhlel
- University of Manouba, High Institute of Sport and Physical Education, Ksar Said, Tunis, Tunisia.,LR12SP11, Biochemistry Department, Sahloul University Hospital, Sousse, Tunisia
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Alluhidan M, Alabdulkarim H, Alrumaih A, Al-Turaiki A, Alshahrani A, Al-Qahtani S, Alhossan A, Al-Jedai A. Budget impact of introducing oral semaglutide to the public healthcare benefit package in Saudi Arabia. J Med Econ 2023; 26:1455-1468. [PMID: 37933169 DOI: 10.1080/13696998.2023.2277056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 10/23/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND The Kingdom of Saudi Arabia (KSA) has embarked on a Health Sector Transformation Program as part of the Kingdom's Vision 2030 initiatives with the facilitation of access to healthcare services for the millions in KSA with diabetes an essential part of the Program. Decision-making tools, such as budget impact models, are required to consider the addition of new medications like oral semaglutide that have multifaceted health benefits and address barriers related to therapeutic inertia to reduce diabetes-related complications. OBJECTIVE To determine the financial impact of the introduction of oral semaglutide as a treatment option for people with type 2 diabetes mellitus (T2DM) in KSA. METHODS From the public payer's perspective, the budget impact model estimates the costs before and after the introduction of oral semaglutide over a 5-year time horizon. The budget impact of introducing oral semaglutide (primary comparator) compared with three different classes of diabetes medicines: glucagon-like peptide-1 receptor agonists (GLP-1), sodium-glucose transport protein 2 inhibitors (SGLT 2i) and dipeptidyl peptidase 4 inhibitors (DDP-4i) have been calculated based on the projected market shares. The model includes the cost of care through the incorporation of health outcomes that have an impact on the national payer's budget in Saudi Riyals (SAR). RESULTS The budget impact over the five-year time horizon indicates a medication cost increase (17,424,788 SAR), and cost offsets which include a difference in diabetes management costs (-3,625,287 SAR), CV complications costs (-810,733 SAR) and weight loss savings of 453,936 SAR. The cumulative total cost difference is 12,427,858 SAR (0.66%). CONCLUSION The introduction of oral semaglutide 14 mg as a second-line treatment option after metformin is indicated as budget-neutral to slightly budget-inflating for the public pharmaceutical formulary of KSA. The price difference is offset by positive health outcomes and costs. This conclusion was confirmed through a probabilistic sensitivity analysis.
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Affiliation(s)
| | - Hana Alabdulkarim
- Drug Policy and Economic Centre, Ministry of National Guards Health Affairs, Riyadh, Saudi Arabia
- Doctoral School of Applied Informatics and Applied Mathematics, Obuda University, Budapest, Hungary
| | - Ali Alrumaih
- Pharmaceutical Care Department, Medical Services Directorate, Ministry of Defence, Riyadh, Saudi Arabia
| | - Abdulrahman Al-Turaiki
- Pharmaceutical Care Department, Ministry of National Guard-Health Affairs, King Abdul Aziz Medical City, Riyadh, Saudi Arabia
| | | | | | | | - Ahmed Al-Jedai
- College of Pharmacy, Alfaisal University, Riyadh, Saudi Arabia
- Therapeutic Affairs, Ministry of Health, Riyadh, Saudi Arabia
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Abstract
Elevated triglyceride and reduced high-density lipoprotein cholesterol (HDL-C) are common in type 2 diabetes, but increased atherogenic particles and dysfunctional HDL are demonstrable in both types 1 and 2 diabetes, contributing to a two-fold increase in atherosclerotic cardiovascular disease (ASCVD). ASCVD risk accelerates with diabetes duration and severity, aging, risk factors, and risk enhancers. Using statins or other LDL-C-lowering agents if needed in adults with intermediate or greater degrees of risk is recommended. Although hypertriglyceridemia enhances risk, most guidelines do not recommend fibrates or omega 3 fatty acid for risk reduction except for icosapent ethyl in patients with ASCVD.
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Affiliation(s)
- Ronald B Goldberg
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, 1450 Northwest 10th Avenue, Miami, FL 33136, USA.
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9
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Yagyu H, Shimano H. Treatment of diabetes mellitus has borne much fruit in the prevention of cardiovascular disease. J Diabetes Investig 2022; 13:1472-1488. [PMID: 35638331 PMCID: PMC9434581 DOI: 10.1111/jdi.13859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022] Open
Abstract
Cardiovascular (CV) disease is the most alarming complication of diabetes mellitus (DM), and a strategy aiming at cardiovascular event prevention in diabetes mellitus has long been debated. Large landmark clinical trials have shown cardiovascular benefits of intensive glycemic control as a ‘legacy effect’ in newly diagnosed type 2 diabetes mellitus. In contrast, we have learned that excessive intervention aimed at strong glycemic control could cause unexpected cardiovascular death in patients who are resistant to treatments against hyperglycemia. It has also been shown that the comprehensive multifactorial intervention for cardiovascular risk factors that was advocated in the current guideline provided substantial cardiovascular event reduction. The impact of classical antidiabetic agents launched before 1990s on cardiovascular events is controversial. Although there are many clinical or observational studies assessing the impact of those agents on cardiovascular events, the conclusions are inconsistent owing to variable patient backgrounds and concomitant antidiabetic agents among the studies. Moreover, most of them were not large‐scale, randomized, cardiovascular outcome trials. In contrast, GLP‐1RA (glucagon‐like peptide‐1 receptor agonist) and SGLT2 (sodium‐glucose cotransporter 2) inhibitors have demonstrated undeniable cardiovascular benefits in large‐scale, randomized, controlled trials. Whereas GLP‐1RAs decrease atherosclerotic disease, especially stroke, SGLT2 inhibitors mainly prevent heart failure. SGLT2 inhibitors are superior to GLP‐1RAs with respect to hard renal outcomes. Therefore, it can be said that drugs such as GLP‐1RAs and SGLT2 inhibitors that prevent cardiovascular events, in addition to their glucose‐lowering effect, are incredible novel tools that we have gained for use in diabetic treatment.
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Affiliation(s)
- Hiroaki Yagyu
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, Mito, Japan
| | - Hitoshi Shimano
- Department of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
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Martens P, Mathieu C, Vanassche T. The use of glucagon-like-peptide-1 receptor agonist in the cardiology practice. Acta Cardiol 2022:1-13. [PMID: 35575294 DOI: 10.1080/00015385.2022.2076307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The presence of type 2 diabetes confronts the patient with an elevated risk to develop atherosclerotic cardiovascular disease (ASCVD), heart failure (HF), or chronic kidney disease (CKD). Glucose control in itself does not prevent these complications in their entirety. More recently several agents within the class of Sodium-Glucose cotransporter 2 inhibitors (SGLT2-I) and Glucagon-like-peptide-1 receptor agonists (GLP-1RA) have emerged as preferred agents to tackle the residual risk of ASCVD, HF, and CKD in patients with type 2 diabetes. Despite compelling trial data and professional society endorsement, the uptake of these agents in clinical practice is low. Especially GLP-1RA is only used in 8% of eligible candidates with type 2 diabetes and <5% of these prescriptions are attributed to cardiologists. This low uptake amongst cardiologists is related to the unfamiliarity with this class, its initiation, and titration, hesitation regarding simultaneous adjustment of other glucose-lowering agents, the unaccustomedness to prescribing injectable agents, and differential medical priorities. This review aims to offer cardiologists a practical tool for the optimal use of a GLP-1RA in their suitable patients and is focussed on the Belgian field of practice.
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Affiliation(s)
- Pieter Martens
- Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Cardiology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Thomas Vanassche
- Department of Cardiology, Universitair Ziekenhuis Leuven, Leuven, Belgium
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Yamamoto Y, Ito J, Ito K, Fujii M, Nakajima R, Saito K, Yagyu H. The current status of low-density lipoprotein cholesterol for primary prevention of coronary artery disease in late-stage elderly persons with type 2 diabetes mellitus: A retrospective, single-center study. J Diabetes Investig 2022; 13:1567-1576. [PMID: 35510958 PMCID: PMC9434565 DOI: 10.1111/jdi.13823] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 04/07/2022] [Accepted: 04/25/2022] [Indexed: 11/29/2022] Open
Abstract
Aims/Introduction The importance of low‐density lipoprotein cholesterol (LDL‐C) in the primary prevention of cardiovascular disease has recently been reported in the population aged ≥75 years with hypercholesterolemia. Therefore, the current status of LDL‐C management for primary prevention of coronary artery disease in patients aged ≥75 years with type 2 diabetes mellitus was investigated. Materials and Methods A total of 124 patients aged ≥75 years who had type 2 diabetes mellitus, but no coronary artery disease, were investigated. The patients' background characteristics, LDL‐C, glycemic status, ankle‐brachial index and cardio‐ankle vascular index were compared between patients taking and not taking LDL‐C‐lowering agents, such as hydroxymethylglutaryl‐CoA reductase inhibitors (statins) and ezetimibe. The details of the antihyperlipidemic and antidiabetic agents used in the present study were also examined. Results LDL‐C was significantly lower in patients taking LDL‐C‐lowering agents (LDLCLT[+]) than in patients not taking them (LDLCLT[−]), although LDL‐C was maintained <120 mg/dL in both groups (93.0 mg/dL vs 102.1 mg/dL). Approximately half of the cases in the LDLCLT(+) group received moderate‐intensity statins, with pitavastatin being the most prescribed statin. Glycated hemoglobin was significantly lower in the LDLCLT(+) group than in the LDLCLT(−) group (6.9% vs 7.3%). Sodium‐glucose transporter 2 inhibitors were more frequently used in the LDLCLT(+) group than in the LDLCLT(−) group. The ankle‐brachial index/cardio‐ankle vascular index did not differ between the groups. Conclusion Low‐density lipoprotein cholesterol was properly managed for primary prevention of coronary artery disease in patients aged ≥75 years with type 2 diabetes mellitus regardless of the presence or absence of LDL‐C‐lowering agents.
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Affiliation(s)
- Yuki Yamamoto
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
| | - Jun Ito
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
| | - Kei Ito
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
| | - Masanao Fujii
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
| | - Rikako Nakajima
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
| | - Kazumi Saito
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
| | - Hiroaki Yagyu
- Department of Endocrinology and Metabolism, Tsukuba University Hospital Mito Clinical Education and Training Center, Mito Kyodo General Hospital, 3-2-7 Miyamachi, Mito, Ibaraki 310-0015, Japan
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Mucalo I, Brajković A, Strgačić M, Ramalho-de-Oliveira D, Ribarić E, Bobinac A. Budget Impact Analysis of Pharmacist-Led Medication Management in Cardiovascular and Type 2 Diabetic Patients. Healthcare (Basel) 2022; 10:healthcare10040722. [PMID: 35455900 PMCID: PMC9027851 DOI: 10.3390/healthcare10040722] [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] [Received: 02/18/2022] [Revised: 03/29/2022] [Accepted: 04/11/2022] [Indexed: 11/28/2022] Open
Abstract
The paper aims to identify and measure the costs and savings associated with the delivery of Comprehensive Medication Management (CMM) services in Croatia in patients diagnosed with hypertension accompanied by at least one additional established cardiovascular disease (CVD) and/or type 2 diabetes mellitus (DMT2) who use five or more medicines daily. The budget impact analysis (BIA) employed in this study compares the total costs of CMM to the cost reductions expected from CMM. The cost reductions (or savings) are based on the reduced incidence of unwanted clinical events and healthcare service utilisation rates due to CMM. The BIA model is populated by data on medication therapy costs, labour, and training from the pilot CMM intervention introduced in Zagreb’s main Health Centre, while relevant international published sources were used to estimate the utilisation, incidence, and unwanted clinical events rates. Total direct costs, including pharmacists’ labour and training (EUR 2,667,098) and the increase in the cost of prescribed medication (EUR 5,182,864) amounted to EUR 7,849,962 for 3 years, rendering the cost per treated patient per year EUR 57. CMM is expected to reduce the utilisation rates of healthcare services and the incidence of unwanted clinical events, leading to a total 3-year reduction in healthcare costs of EUR 7,787,765. Given the total CMM costs of EUR 7,849,962, CMM’s 3-year budget impact equals EUR 92,869, rendering per treated patient an incremental cost of CMM EUR 0.67. Hence, CMM appears to be an affordable intervention for addressing medication mismanagement and irrational drug use.
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Affiliation(s)
- Iva Mucalo
- Centre for Applied Pharmacy, Faculty of Pharmacy and Biochemistry, University of Zagreb, 10 000 Zagreb, Croatia;
- Correspondence: ; Tel.: +38-51-6394-802
| | - Andrea Brajković
- Centre for Applied Pharmacy, Faculty of Pharmacy and Biochemistry, University of Zagreb, 10 000 Zagreb, Croatia;
| | - Marija Strgačić
- Faculty of Pharmacy and Biochemistry, University of Zagreb, 10 000 Zagreb, Croatia;
| | - Djenane Ramalho-de-Oliveira
- College of Pharmacy, Centre for Pharmaceutical Care Studies, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Elizabeta Ribarić
- Center for Health Economics and Pharmacoeconomics (CHEP), Faculty of Economics and Business, University of Rijeka, 51 000 Rijeka, Croatia; (E.R.); (A.B.)
| | - Ana Bobinac
- Center for Health Economics and Pharmacoeconomics (CHEP), Faculty of Economics and Business, University of Rijeka, 51 000 Rijeka, Croatia; (E.R.); (A.B.)
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13
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Lipid-Targeted Atherosclerotic Risk Reduction in Older Adults: A Review. Geriatrics (Basel) 2022; 7:geriatrics7020038. [PMID: 35447841 PMCID: PMC9028818 DOI: 10.3390/geriatrics7020038] [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] [Received: 02/26/2022] [Revised: 03/23/2022] [Accepted: 03/23/2022] [Indexed: 02/01/2023] Open
Abstract
Aggressive lipid-lowering lifestyle modifications and pharmacologic therapies are the cornerstones of the primary and secondary prevention of atherosclerotic cardiovascular disease events. While statins are highly effective, inexpensive, and generally well-tolerated medications, many clinicians and patients express uncertainty regarding the necessity of statin treatment in older adults. Citing concerns such as polypharmacy, muscle symptoms, and even potential cognitive changes with statins, many patients and health care providers elect to de-intensify or discontinue statin therapy during the process of aging. A lack of clear representation of older individuals in many clinical trials and practice guidelines may contribute to the ambiguity. However, the recently prevailing data and practice patterns supporting the benefits, safety, and tolerability of a variety of lipid-lowering therapeutics in older adults are discussed here, with particular mention of a potential protective effect from incident dementia among a statin-treated geriatric population and an admonishment of the historical concept of “too-low” low-density lipoprotein cholesterol (LDL-C) levels.
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Ullah A, Ali N, Ahmad S, Rahman SU, Alghamdi S, Bannunah AM, Ali R, Aman A, Khan J, Hussain H, Sahibzada MUK. Glycogen synthase kinase-3 (GSK-3) a magic enzyme: it's role in diabetes mellitus and glucose homeostasis, interactions with fluroquionlones. A mini-review. BRAZ J BIOL 2021; 83:e250179. [PMID: 34524376 DOI: 10.1590/1519-6984.250179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 05/01/2021] [Indexed: 01/08/2023] Open
Abstract
Diabetes mellitus (DM) is a non-communicable disease throughout the world in which there is persistently high blood glucose level from the normal range. The diabetes and insulin resistance are mainly responsible for the morbidities and mortalities of humans in the world. This disease is mainly regulated by various enzymes and hormones among which Glycogen synthase kinase-3 (GSK-3) is a principle enzyme and insulin is the key hormone regulating it. The GSK-3, that is the key enzyme is normally showing its actions by various mechanisms that include its phosphorylation, formation of protein complexes, and other cellular distribution and thus it control and directly affects cellular morphology, its growth, mobility and apoptosis of the cell. Disturbances in the action of GSK-3 enzyme may leads to various disease conditions that include insulin resistance leading to diabetes, neurological disease like Alzheimer's disease and cancer. Fluoroquinolones are the most common class of drugs that shows dysglycemic effects via interacting with GSK-3 enzyme. Therefore, it is the need of the day to properly understand functions and mechanisms of GSK-3, especially its role in glucose homeostasis via effects on glycogen synthase.
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Affiliation(s)
- A Ullah
- Department of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Dir Upper, Khyber Pakhtunkhwa, Pakistan.,Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - N Ali
- Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - S Ahmad
- Department of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Dir Upper, Khyber Pakhtunkhwa, Pakistan
| | - S U Rahman
- Department of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Dir Upper, Khyber Pakhtunkhwa, Pakistan
| | - S Alghamdi
- Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia
| | - A M Bannunah
- Department of Basic Sciences, Common First year Deanship, Umm Al-Qura University, Makkah, Saudi Arabia
| | - R Ali
- Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - A Aman
- Department of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Dir Upper, Khyber Pakhtunkhwa, Pakistan
| | - J Khan
- Department of Pharmacy, University of Malakand, Chakdara Dir Lower, Khyber Pakhtunkhwa, Pakistan
| | - H Hussain
- Department of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Dir Upper, Khyber Pakhtunkhwa, Pakistan
| | - M U K Sahibzada
- Department of Pharmacy, Sarhad University of Science and Information Technology, Peshawar, Khyber Pakhtunkhwa, Pakistan
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15
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Chepulis L, Mayo C, Morison B, Keenan R, Lao C, Paul R, Lawrenson R. Metformin adherence in patients with type 2 diabetes and its association with glycated haemoglobin levels. J Prim Health Care 2021; 12:318-326. [PMID: 33349319 DOI: 10.1071/hc20043] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 09/29/2020] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION Metformin is the initial medication of choice for most patients with type 2 diabetes. Non-adherence results in poorer glycaemic control and increased risk of complications. AIM The aim of this study was to characterise metformin adherence and association with glycated haemoglobin (HbA1c) levels in a cohort of patients with type 2 diabetes. METHODS Prescription and dispensing data were used for this study. Primary care clinical and demographic data were collected from 10 general practices (October 2016-March 2018) and linked to pharmaceutical dispensing information. Metformin adherence was initially measured by calculating the proportion of patients who had optimal medication cover for at least 80% of days (defined as a medication possession ratio (MPR) of ≥0.8), calculated using dispensing data. Prescription adherence was assessed by comparing prescription and dispensing data. The association between non-adherence (MPR <0.8) and HbA1c levels was also assessed. RESULTS Of the 1595 patients with ≥2 metformin prescriptions, the mean MPR was 0.87. Fewer Māori had an MPR ≥0.8 than New Zealand European (63.8% vs. 81.2%). Similarly, Māori received fewer metformin prescriptions (P=0.02), although prescription adherence did not differ by ethnicity. Prescription adherence was lower in younger patients (P=0.002). Mean HbA1c levels were reduced by 4.8 and 5.0mmol/mol, respectively, in all and Māori patients with an MPR ≥0.8. Total prescription adherence reduced HbA1c by 3.2mmol/mol (all P<0.01). DISCUSSION Ethnic disparity exists for metformin prescribing, leading to an overall reduction in metformin coverage for Māori patients. This needs to be explored further, including understanding whether this is a patient preference or health system issue.
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Affiliation(s)
- Lynne Chepulis
- Medical Research Centre, University of Waikato, Hamilton, New Zealand; and Corresponding author.
| | - Christopher Mayo
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Brittany Morison
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Rawiri Keenan
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Chunhuan Lao
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Ryan Paul
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; and Waikato District Health Board, Hamilton, New Zealand
| | - Ross Lawrenson
- Medical Research Centre, University of Waikato, Hamilton, New Zealand; and Waikato District Health Board, Hamilton, New Zealand
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16
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Chinese Guideline on the Primary Prevention of Cardiovascular Diseases. CARDIOLOGY DISCOVERY 2021; 1:70-104. [DOI: 10.1097/cd9.0000000000000025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Abstract
Cardiovascular disease is the leading cause of mortality in China. Primary prevention of cardiovascular disease with a focus on lifestyle intervention and risk factor control has been shown to effectively delay or prevent the occurrence of cardiovascular events. To promote a healthy lifestyle and enhance the detection, diagnosis, and treatment of cardiovascular risk factors such as hypertension, dyslipidemia, and diabetes, and to improve the overall capacity of primary prevention of cardiovascular disease, the Chinese Society of Cardiology of Chinese Medical Association has collaborated with multiple societies to summarize and evaluate the latest evidence with reference to relevant guidelines and subsequently to develop recommendations for primary cardiovascular disease prevention in Chinese adults. The guideline consists of 10 sections: introduction, methodology for developing the guideline, epidemiology of cardiovascular disease in China and challenges in primary prevention, general recommendations for primary prevention, assessment of cardiovascular risk, lifestyle intervention, blood pressure control, lipid management, management of type 2 diabetes, and use of aspirin. The promulgation and implementation of this guideline will play a key role in promoting the practice of primary prevention for cardiovascular disease in China.
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17
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Marx N, Davies MJ, Grant PJ, Mathieu C, Petrie JR, Cosentino F, Buse JB. Guideline recommendations and the positioning of newer drugs in type 2 diabetes care. Lancet Diabetes Endocrinol 2021; 9:46-52. [PMID: 33159841 DOI: 10.1016/s2213-8587(20)30343-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 09/18/2020] [Accepted: 09/23/2020] [Indexed: 01/01/2023]
Abstract
Cardiovascular outcome trials in patients with type 2 diabetes at high cardiovascular risk have led to remarkable advances in our understanding of the effectiveness of GLP-1 receptor agonists and SGLT2 inhibitors to reduce cardiorenal events. In 2019, the American Diabetes Association (ADA), European Association for the Study of Diabetes (EASD), and European Society of Cardiology (ESC) published updated recommendations for the management of such patients. We are concerned that ongoing discussions focusing on the differences between the endocrinologists' consensus report from the ADA and EASD and cardiologists' guidelines from the ESC are contributing to clinical inertia, thereby effectively denying evidence-based treatments advocated by both groups to patients with type 2 diabetes and cardiorenal disease. A subset of members from the writing groups of the ADA-EASD consensus report and the ESC guidelines was convened to emphasise where commonalities exist and to propose an integrated framework that encompasses the views incorporated in management approaches proposed by the ESC and the ADA and EASD. Coordinated action is required to ensure that people with type 2 diabetes, cardiovascular disease, heart failure, or chronic kidney disease are treated appropriately with an SGLT2 inhibitor or GLP-1 receptor agonist. In our opinion, this course should be initiated independent of background therapy, current glycaemic control, or individualised treatment goals.
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Affiliation(s)
- Nikolaus Marx
- Department of Internal Medicine, University Hospital Aachen, RWTH Aachen University, Aachen, Germany
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Peter J Grant
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Universitair Ziekenhuis Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
| | - John R Petrie
- Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Francesco Cosentino
- Unit of Cardiology, Department of Medicine, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden.
| | - John B Buse
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
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Goldberg RB. Clinical Approach to Assessment and Amelioration of Atherosclerotic Vascular Disease in Diabetes. Front Cardiovasc Med 2020; 7:582826. [PMID: 33134327 PMCID: PMC7573064 DOI: 10.3389/fcvm.2020.582826] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/02/2020] [Indexed: 12/11/2022] Open
Abstract
Atherosclerotic cardiovascular disease is increased on average 2–3-fold in people with diabetes as compared to their non-diabetic counterparts and is the major cause of the increased morbidity and mortality in this disease. There is however heterogeneity in cardiovascular risk between individuals based on demographic, cardiometabolic and clinical risk factors in the setting of hyperglycemia, insulin resistance and obesity that needs to be taken into consideration in planning preventive interventions. Randomized clinical trials of agents or procedures used for amelioration of augmented CVD risk in diabetes have been pivotal in providing evidenced-based treatments. Improvement in hyperglycemia in both type 1 and type 2 diabetes is considered to be central in the prevention of microvascular and macrovascular complications although selected antihyperglycemic agents have demonstrated beneficial as well as possible deleterious off-target effects. Lowering low density lipoprotein cholesterol, treating hypertension and stopping smoking each play important roles in preventing cardiovascular disease in diabetes as they do in the general population and low dose aspirin is overall beneficial in high risk individuals. Hypertriglyceridemia may represent another important marker for augmented cardiovascular risk in diabetes and newer agents targeting dyslipidemia appear promising. The fall in cardiovascular events over the past two decades offers hope that modern intervention strategies as well as novel approaches such as those targeting inflammation may contribute to a continued reduction of cardiovascular disease in people with diabetes.
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Affiliation(s)
- Ronald B Goldberg
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States
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Goldberg RB, Stone NJ, Grundy SM. The 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guidelines on the Management of Blood Cholesterol in Diabetes. Diabetes Care 2020; 43:1673-1678. [PMID: 32669405 DOI: 10.2337/dci19-0036] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 05/01/2020] [Indexed: 02/03/2023]
Abstract
The American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines recently published its 2018 recommendations on management of LDL cholesterol (LDL-C) in people with diabetes. For primary prevention, moderate-intensity statin therapy is recommended for those aged 40-75 years, with a preference for high-intensity statin treatment for older subjects and for those with higher estimated risk or risk-enhancing factors following a patient-clinician discussion. Statin therapy may be reasonable in adults <40 years or >75 years of age where there is less evidence for benefit. For people with diabetes and established atherosclerotic cardiovascular disease, high-intensity statin therapy is recommended. The majority of these subjects have very high risk, and an LDL-C goal of <70 mg/dL is recommended. If this target is not achieved, ezetimibe and/or a proprotein convertase subtilisin/kexin type 9 inhibitor may be added.
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Affiliation(s)
- Ronald B Goldberg
- Division of Endocrinology, Diabetes and Metabolism, University of Miami Miller School of Medicine, Miami, FL
| | - Neil J Stone
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Scott M Grundy
- University of Texas Southwestern Medical Center, Dallas, TX
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20
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Yang GR, Dye TD, Li D. Association between diabetes, metabolic syndrome and heart attack in US adults: a cross-sectional analysis using the Behavioral Risk Factor Surveillance System 2015. BMJ Open 2019; 9:e022990. [PMID: 31519666 PMCID: PMC6747668 DOI: 10.1136/bmjopen-2018-022990] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES Diabetes mellitus (DM) and metabolic syndrome (MS) are both associated with heart attack. Evidence regarding which condition-MS or DM-is better associated with heart attack, however, is limited. The purpose of this study is to examine DM and MS, and their comparative associations with heart attack, using the 2015 Behavioral Risk Factor Surveillance System (BRFSS). DESIGN Cross-sectional study. METHODS A total of 332 008 subjects aged over 18 years were included in the analysis. All subjects were classified into four groups based on their DM and MS status: neither DM nor MS, DM without MS, MS without DM, and both DM and MS. A weighted hierarchical logistic regression was used to examine the difference between the four groups in their association with the risk of a heart attack. RESULTS Differences in weighted frequency distributions of gender, age category (over 45 years or not), smoking status, education, race, physical activity and daily vegetable and fruit consumption were significantly different across the four groups (p<0.05). The weighted prevalence of heart attack was 5.2% for neither DM nor MS group, 8.5% for DM without MS group, 11.0% for MS without DM group and 16.1% for both DM and MS group. The weighted prevalence of heart attack in MS without DM group was significantly higher than that in the DM without MS group (p<0.01). After adjusting for confounding variables, DM without MS and MS without DM were both found to be independently associated with heart attack compared with those without DM nor MS (DM without MS, OR=2.09; MS without DM, OR=2.58, all p<0.01). CONCLUSION The BRFSS 2015 data indicated that MS without DM and DM without MS had comparable effects on heart attack, and the odds of risk are doubled than US adults with neither DM nor MS.
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Affiliation(s)
- Guang-Ran Yang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Clinical and Translational Science Institute, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
| | - Timothy D Dye
- Clinical and Translational Science Institute, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
| | - Dongmei Li
- Clinical and Translational Science Institute, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 74:e177-e232. [PMID: 30894318 PMCID: PMC7685565 DOI: 10.1016/j.jacc.2019.03.010] [Citation(s) in RCA: 882] [Impact Index Per Article: 176.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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22
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 74:1376-1414. [PMID: 30894319 PMCID: PMC8344373 DOI: 10.1016/j.jacc.2019.03.009] [Citation(s) in RCA: 700] [Impact Index Per Article: 140.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines Endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Geriatrics Society, the American Society of Preventive Cardiology, and the Preventive Cardiovascular Nurses Association
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e563-e595. [PMID: 30879339 PMCID: PMC8351755 DOI: 10.1161/cir.0000000000000677] [Citation(s) in RCA: 320] [Impact Index Per Article: 64.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
1. The most important way to prevent atherosclerotic vascular disease, heart failure, and atrial fibrillation is to promote a healthy lifestyle throughout life. 2. A team-based care approach is an effective strategy for the prevention of cardiovascular disease. Clinicians should evaluate the social determinants of health that affect individuals to inform treatment decisions. 3. Adults who are 40 to 75 years of age and are being evaluated for cardiovascular disease prevention should undergo 10-year atherosclerotic cardiovascular disease (ASCVD) risk estimation and have a clinician–patient risk discussion before starting on pharmacological therapy, such as antihypertensive therapy, a statin, or aspirin. The presence or absence of additional risk-enhancing factors can help guide decisions about preventive interventions in select individuals, as can coronary artery calcium scanning. 4. All adults should consume a healthy diet that emphasizes the intake of vegetables, fruits, nuts, whole grains, lean vegetable or animal protein, and fish and minimizes the intake of trans fats, processed meats, refined carbohydrates, and sweetened beverages. For adults with overweight and obesity, counseling and caloric restriction are recommended for achieving and maintaining weight loss. 5. Adults should engage in at least 150 minutes per week of accumulated moderate-intensity physical activity or 75 minutes per week of vigorous-intensity physical activity. 6. For adults with type 2 diabetes mellitus, lifestyle changes, such as improving dietary habits and achieving exercise recommendations are crucial. If medication is indicated, metformin is first-line therapy, followed by consideration of a sodium-glucose cotransporter 2 inhibitor or a glucagon-like peptide-1 receptor agonist. 7. All adults should be assessed at every healthcare visit for tobacco use, and those who use tobacco should be assisted and strongly advised to quit. 8. Aspirin should be used infrequently in the routine primary prevention of ASCVD because of lack of net benefit. 9. Statin therapy is first-line treatment for primary prevention of ASCVD in patients with elevated low-density lipoprotein cholesterol levels (≥190 mg/dL), those with diabetes mellitus, who are 40 to 75 years of age, and those determined to be at sufficient ASCVD risk after a clinician–patient risk discussion. 10. Nonpharmacological interventions are recommended for all adults with elevated blood pressure or hypertension. For those requiring pharmacological therapy, the target blood pressure should generally be <130/80 mm Hg.
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e596-e646. [PMID: 30879355 PMCID: PMC7734661 DOI: 10.1161/cir.0000000000000678] [Citation(s) in RCA: 1275] [Impact Index Per Article: 255.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143. [PMID: 30586774 PMCID: PMC7403606 DOI: 10.1161/cir.0000000000000625] [Citation(s) in RCA: 1095] [Impact Index Per Article: 219.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol. J Am Coll Cardiol 2019; 73:e285-e350. [DOI: 10.1016/j.jacc.2018.11.003] [Citation(s) in RCA: 1113] [Impact Index Per Article: 222.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 139:e1046-e1081. [PMID: 30565953 DOI: 10.1161/cir.0000000000000624] [Citation(s) in RCA: 246] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
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Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2018; 73:3168-3209. [PMID: 30423391 DOI: 10.1016/j.jacc.2018.11.002] [Citation(s) in RCA: 953] [Impact Index Per Article: 158.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Chaudhary P, Schreihofer AM. Improved glucose homeostasis in male obese Zucker rats coincides with enhanced baroreflexes and activation of the nucleus tractus solitarius. Am J Physiol Regul Integr Comp Physiol 2018; 315:R1195-R1209. [PMID: 30256679 DOI: 10.1152/ajpregu.00195.2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Young adult male obese Zucker rats (OZR) develop insulin resistance and hypertension with impaired baroreflex-mediated bradycardia and activation of nucleus tractus solitarius (NTS). Because type 1 diabetic rats also develop impaired baroreflex-mediated NTS activation, we hypothesized that improving glycemic control in OZR would enhance compromised baroreflexes and NTS activation. Fasting blood glucose measured by telemetry was comparable in OZR and lean Zucker rats (LZR) at 12-17 wk. However, with access to food, OZR were chronically hyperglycemic throughout this age range. By 15-17 wk of age, tail samples yielded higher glucose values than those measured by telemetry in OZR but not LZR, consistent with reports of exaggerated stress responses in OZR. Injection of glucose (1g/kg ip) produced larger rises in glucose and areas under the curve in OZR than LZR. Treatment with metformin (300 mg·kg-1·day-1) or pioglitazone (5 mg·kg-1·day-1) in drinking water for 2-3 wk normalized fed glucose levels in OZR with no effect in LZR. After metformin treatment, area under the curve for blood glucose after glucose injection was reduced in OZR and comparable to LZR. Hyperinsulinemia was slightly reduced by each treatment in OZR, but insulin was still greatly elevated compared with LZR. Neither treatment reduced hypertension in OZR, but both treatments significantly improved the blunted phenylephrine-induced bradycardia and NTS c-Fos expression in OZR with no effect in LZR. These data suggest that restoring glycemic control in OZR enhances baroreflex control of heart rate by improving the response of the NTS to raising arterial pressure, even in the presence of hyperinsulinemia and hypertension.
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Affiliation(s)
- Parul Chaudhary
- Department of Physiology and Anatomy, University of North Texas Health Science Center , Fort Worth, Texas
| | - Ann M Schreihofer
- Department of Physiology and Anatomy, University of North Texas Health Science Center , Fort Worth, Texas
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Li PI, Wang JN, Guo HR. A long-term quality-of-care score for predicting the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus. Diabetes Res Clin Pract 2018; 139:72-80. [PMID: 29481816 DOI: 10.1016/j.diabres.2018.02.027] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 12/23/2017] [Accepted: 02/19/2018] [Indexed: 11/25/2022]
Abstract
AIMS The aim of this study was to develop a long-term quality-of-care score to predict the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus, on the basis of the hypothesis that good quality of care can reduce the risk of macrovascular complications. METHODS Using Taiwan's Longitudinal Cohort of Diabetes Patients Database and the medical records in a medical center, we identified the incident patients diagnosed with type 2 diabetes during 1999-2003 and followed them until 2011. A summary score (from 0 to 8) was calculated according to process indicators (frequencies of HbA1c and lipid profile testing and urine, foot and retinal examinations), intermediate outcome indicators (low-density lipoprotein, blood pressure and HbA1c), and the co-morbidity of hypertension. We used Cox regression models to evaluate the association between the score and the incidence of macrovascular complications. RESULTS Of the 4275 patients enrolled, 1928 developed macrovascular complication events after a mean follow-up period of 8.2 years. Compared to the risk of developing a macrovascular disease event in patients with scores ≤1, the risk was 64% lower in those with quality-of-care scores ≥5 (adjusted hazard ratio = 0.36; 95% confidence interval: 0.28-0.45). CONCLUSIONS Good quality of care can reduce the risk of macrovascular diseases in patients with type 2 diabetes. The score developed in this study had a significant association with the risk of macrovascular complications and thus can be applied to guiding the care for these patients.
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Affiliation(s)
- Pi-I Li
- Department of Family Medicine, Chi Mei Medical Center, 901 Chung-Hwa Road, Yongkang, Tainan 710, Taiwan; Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan
| | - Jian-Nan Wang
- Department of Family Medicine, Chi Mei Medical Center, 901 Chung-Hwa Road, Yongkang, Tainan 710, Taiwan
| | - How-Ran Guo
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 704, Taiwan; Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, 138 Sheng-Li Road, Tainan 704, Taiwan.
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Dépression et maladies cardiovasculaires chez les femmes diabétiques de type 2 : étude cas-témoins. Encephale 2018; 44:188-189. [DOI: 10.1016/j.encep.2017.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 09/28/2017] [Accepted: 10/02/2017] [Indexed: 11/16/2022]
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Araki E, Yamashita S, Arai H, Yokote K, Satoh J, Inoguchi T, Nakamura J, Maegawa H, Yoshioka N, Tanizawa Y, Watada H, Suganami H, Ishibashi S. Effects of Pemafibrate, a Novel Selective PPARα Modulator, on Lipid and Glucose Metabolism in Patients With Type 2 Diabetes and Hypertriglyceridemia: A Randomized, Double-Blind, Placebo-Controlled, Phase 3 Trial. Diabetes Care 2018; 41:538-546. [PMID: 29298800 DOI: 10.2337/dc17-1589] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 11/27/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes is frequently complicated with atherogenic dyslipidemia. This study aimed to evaluate the efficacy and safety of pemafibrate (K-877) in patients with type 2 diabetes comorbid with hypertriglyceridemia. RESEARCH DESIGN AND METHODS Patients were randomly assigned to three groups and received placebo (n = 57), 0.2 mg/day pemafibrate (n = 54), or 0.4 mg/day pemafibrate (n = 55) for 24 weeks (treatment period 1). Subsequently, the patients received follow-up treatment for another 28 weeks (treatment period 2), in which the placebo was switched to 0.2 mg/day pemafibrate. This article presents the results of treatment period 1, which were the primary objectives. RESULTS The pemafibrate groups showed significantly reduced fasting serum triglyceride levels by ∼45% compared with the placebo group (P < 0.001). Additionally, the pemafibrate groups displayed significant decreases in non-HDL and remnant lipoprotein cholesterol, apolipoprotein (Apo) B100, ApoB48, and ApoCIII levels and significant increases in HDL cholesterol and ApoA-I levels. LDL cholesterol levels were not considerably altered in the pemafibrate groups. Furthermore, the 0.2 mg/day pemafibrate group showed a significantly reduced HOMA-insulin resistance score compared with the placebo group; however, no significant changes compared with placebo were found in fasting plasma glucose, fasting insulin, glycoalbumin, or HbA1c levels. The pemafibrate groups also showed significantly increased fibroblast growth factor 21 levels compared with the placebo group. All groups displayed comparable rates of adverse events and drug reactions. CONCLUSIONS Pemafibrate significantly ameliorated lipid abnormalities and was well tolerated in patients with type 2 diabetes comorbid with hypertriglyceridemia.
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Affiliation(s)
- Eiichi Araki
- Department of Metabolic Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Shizuya Yamashita
- Department of Community Medicine and Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.,Rinku General Medical Center, Osaka, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Koutaro Yokote
- Department of Clinical Cell Biology and Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Jo Satoh
- Tohoku Medical and Pharmaceutical University Wakabayashi Hospital, Miyagi, Japan
| | | | - Jiro Nakamura
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University, Aichi, Japan
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Narihito Yoshioka
- Division of Diabetes and Endocrinology, Department of Medicine, Sapporo Medical Center, NTT East Corporation, Hokkaido, Japan
| | - Yukio Tanizawa
- Division of Endocrinology, Metabolism, Hematological Science and Therapeutics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hideki Suganami
- Clinical Data Science Department, Kowa Company, Ltd., Tokyo, Japan
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical University, Tochigi, Japan
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Anagnostis P, Siolos P, Christou K, Gkekas NK, Kosmidou N, Athyros VG, Karagiannis A. The effect of antidiabetic medications on the cardiovascular system: a critical appraisal of current data. Hormones (Athens) 2018; 17:83-95. [PMID: 29858866 DOI: 10.1007/s42000-018-0017-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 01/23/2018] [Indexed: 02/07/2023]
Abstract
Both type 1 and type 2 diabetes are associated with increased risk for cardiovascular disease (CVD) events. This risk seems to be reduced by achievement of euglycemia. However, after the withdrawal of rosiglitazone from the market, the question arose as to whether this risk concerns simply a matter of euglycemia or the distinct role played by each antidiabetic drug with respect to its effect on CVD risk. To address this issue, many studies have been published during the last decade involving old and new antidiabetic agents, which however yielded contradictory results. Briefly, metformin is still considered safe and confers a beneficial effect on CVD risk. Conflicting data exist as concerns sulfonylureas, although the second and third generation representatives are regarded as relatively safe. Pioglitazone use seems to be associated with a reduction in CVD risk, whereas the dipeptidyl-dipeptidase-4 inhibitors (DPP-4i), lixisenatide and exenatide-LAR [from the category of glucagon-like-peptide-1 receptor (GLP-1R) agonists], confer a neutral effect. Two other GLP-1R agonists, liraglutide and semaglutide, as well as the sodium-glucose transporter-2 (SGLT2)-inhibitors, empagliflozin and cangliflozin, have shown an additional effect on CVD risk reduction, although their safety is in doubt. Insulin analogues and newer long-acting compounds are also safe for the cadiovascular system. The aim of this narrative review is to present and critically analyse the current data for each antidiabetic drug category with regard to their effect on CVD risk.
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Affiliation(s)
- Panagiotis Anagnostis
- Police Medical Center of Thessaloniki, Thessaloniki, Greece.
- Second Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Hippokration Hospital, Sarantaporou 10, 546 40, Thessaloniki, Greece.
| | - Pavlos Siolos
- Police Medical Center of Thessaloniki, Thessaloniki, Greece
| | | | - Nifon K Gkekas
- Police Medical Center of Thessaloniki, Thessaloniki, Greece
| | | | - Vasilios G Athyros
- Second Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Hippokration Hospital, Sarantaporou 10, 546 40, Thessaloniki, Greece
| | - Asterios Karagiannis
- Second Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Hippokration Hospital, Sarantaporou 10, 546 40, Thessaloniki, Greece
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Abstract
Perioperative myocardial ischemia and infarction are the leading causes of morbidity and mortality following anesthesia and surgery. The discovery of endogenous cardioprotective mechanisms has led to testing of new methods to protect the human heart. These approaches have included ischemic pre-conditioning, per-conditioning, post-conditioning, and remote conditioning of the myocardium. Pre-conditioning and per-conditioning include brief and repetitive periods of sub-lethal ischemia before and during prolonged ischemia, respectively; and post-conditioning is applied at the onset of reperfusion. Remote ischemic conditioning involves transient, repetitive, non-lethal ischemia and reperfusion in one organ or tissue (remote from the heart) that renders myocardium more resistant to lethal ischemia/reperfusion injury. In healthy, young hearts, many conditioning maneuvers can significantly increase the resistance of the heart against ischemia/reperfusion injury. The large multicenter clinical trials with ischemic remote conditioning have not been proven successful in cardiac surgery thus far. The lack of clinical success is due to underlying risk factors that interfere with remote ischemic conditioning and the use of cardioprotective agents that have activated the endogenous cardioprotective mechanisms prior to remote ischemic conditioning. Future preclinical research using remote ischemic conditioning will need to be conducted using comorbid models.
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Affiliation(s)
- Zeljko J Bosnjak
- Department of Anesthesiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.,Department of Physiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA
| | - Zhi-Dong Ge
- Department of Anesthesiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA
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Fujihara K, Igarashi R, Yamamoto M, Ishizawa M, Matsubayasi Y, Matsunaga S, Kato K, Ito C, Koishi M, Yamanaka N, Kodama S, Sone H. Impact of glucose tolerance status on the development of coronary artery disease among working-age men. DIABETES & METABOLISM 2017; 43:261-264. [DOI: 10.1016/j.diabet.2016.09.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 08/24/2016] [Accepted: 09/06/2016] [Indexed: 10/20/2022]
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Ursini F, D’Angelo S, Russo E, Nicolosi K, Gallucci A, Chiaravalloti A, Bruno C, Naty S, De Sarro G, Olivieri I, Grembiale RD. Complement C3 Is the Strongest Predictor of Whole-Body Insulin Sensitivity in Psoriatic Arthritis. PLoS One 2016; 11:e0163464. [PMID: 27656896 PMCID: PMC5033360 DOI: 10.1371/journal.pone.0163464] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 09/08/2016] [Indexed: 12/20/2022] Open
Abstract
Objectives To evaluate the correlation between inflammatory measures and whole-body insulin sensitivity in psoriatic arthritis (PsA) patients. Methods For the present study, 40 nondiabetic PsA patients were recruited. A standard oral glucose tolerance test (OGTT) was performed. The insulin sensitivity index (ISI), insulinogenic index (IGI) and oral disposition index (ODI) were calculated from dynamic values of glucose and insulin obtained during OGTT. Results In our study population, mean ISI was 3.5 ± 2.5, median IGI was 1.2 (0.7–1.8), mean ODI 4.5 ± 4.5. In univariate correlation analysis, ISI correlated inversely with systolic blood pressure (sBP) (R = -0.52, p = 0.001), diastolic blood pressure (dBP) (R = -0.45, p = 0.004) and complement C3 (R = -0.43, p = 0.006) and ODI correlated inversely with sBP (R = -0.38, p = 0.02), dBP (R = -0.35, p = 0.03) and complement C3 (R = -0.37, p = 0.02). No significant correlations were found between analyzed variables and IGI. In a stepwise multiple regression, only complement C3 entered in the regression equation and accounted for approximately 50% of the variance of ISI. Using a receiver operating characteristic (ROC) curve we identified the best cut-off for complement C3 of 1.32 g/L that yielded a sensitivity of 56% and a specificity of 96% for classification of insulin resistant patients. Conclusions In conclusion, our data suggest that serum complement C3 could represent a useful marker of whole-body insulin sensitivity in PsA patients.
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Affiliation(s)
- Francesco Ursini
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy
- Rheumatology Department of Lucania, San Carlo Hospital of Potenza and Madonna delle Grazie Hospital of Matera, Potenza, Italy
- * E-mail:
| | - Salvatore D’Angelo
- Rheumatology Department of Lucania, San Carlo Hospital of Potenza and Madonna delle Grazie Hospital of Matera, Potenza, Italy
| | - Emilio Russo
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy
| | - Kassandra Nicolosi
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy
| | | | | | - Caterina Bruno
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy
| | - Saverio Naty
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy
| | | | - Ignazio Olivieri
- Rheumatology Department of Lucania, San Carlo Hospital of Potenza and Madonna delle Grazie Hospital of Matera, Potenza, Italy
| | - Rosa Daniela Grembiale
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy
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Pereira TMC, Pimenta FS, Porto ML, Baldo MP, Campagnaro BP, Gava AL, Meyrelles SS, Vasquez EC. Coadjuvants in the Diabetic Complications: Nutraceuticals and Drugs with Pleiotropic Effects. Int J Mol Sci 2016; 17:ijms17081273. [PMID: 27527163 PMCID: PMC5000671 DOI: 10.3390/ijms17081273] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 07/27/2016] [Accepted: 07/29/2016] [Indexed: 12/19/2022] Open
Abstract
Because diabetes mellitus (DM) is a multifactorial metabolic disease, its prevention and treatment has been a constant challenge for basic and clinical investigators focused on translating their discoveries into clinical treatment of this complex disorder. In this review, we highlight recent experimental and clinical evidences of potential coadjuvants in the management of DM, such as polyphenols (quercetin, resveratrol and silymarin), cultured probiotic microorganisms and drugs acting through direct/indirect or pleiotropic effects on glycemic control in DM. Among several options, we highlight new promising therapeutic coadjuvants, including chemical scavengers, the probiotic kefir and the phosphodiesterase 5 inhibitors, which besides the reduction of hyperglycemia and ameliorate insulin resistance, they reduce oxidative stress and improve endothelial dysfunction in the systemic vascular circulation. In the near future, experimental studies are expected to clear the intracellular pathways involving coadjuvants. The design of clinical trials may also contribute to new strategies with coadjuvants against the harmful effects of diabetic complications.
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Affiliation(s)
- Thiago Melo Costa Pereira
- Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), Av. Comissario Jose Dantas Melo 21, Boa Vista, 29102-920 Vila Velha, Brazil.
- Federal Institute of Education, Science and Technology (IFES), 29106-010 Vila Velha, Brazil.
| | - Fabio Silva Pimenta
- Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), Av. Comissario Jose Dantas Melo 21, Boa Vista, 29102-920 Vila Velha, Brazil.
- Burn Treatment Center, Children State Hospital, 29056-030 Vitoria, Brazil.
| | - Marcella Lima Porto
- Federal Institute of Education, Science and Technology (IFES), 29106-010 Vila Velha, Brazil.
| | - Marcelo Perim Baldo
- Department of Pathophysiology, Montes Claros State University, 39401-089, Montes Claros, Brazil.
| | - Bianca Prandi Campagnaro
- Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), Av. Comissario Jose Dantas Melo 21, Boa Vista, 29102-920 Vila Velha, Brazil.
| | - Agata Lages Gava
- Laboratory of Translational Physiology, Federal University of Espirito Santo (Ufes), 29047-100 Vitoria, Brazil.
- Division of Nephrology, McMaster University, Hamilton, ON L8N 4A6, Canada.
| | - Silvana Santos Meyrelles
- Laboratory of Translational Physiology, Federal University of Espirito Santo (Ufes), 29047-100 Vitoria, Brazil.
| | - Elisardo Corral Vasquez
- Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), Av. Comissario Jose Dantas Melo 21, Boa Vista, 29102-920 Vila Velha, Brazil.
- Laboratory of Translational Physiology, Federal University of Espirito Santo (Ufes), 29047-100 Vitoria, Brazil.
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Olsson M, Schnecke V, Cabrera C, Skrtic S, Lind M. Contemporary Risk Estimates of Three HbA1c Variables for Myocardial Infarction in 101,799 Patients Following Diagnosis of Type 2 Diabetes. Diabetes Care 2015; 38:1481-6. [PMID: 26015559 DOI: 10.2337/dc14-2351] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 05/07/2015] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study evaluated the risk of myocardial infarction (MI) by impaired glycemic control in a contemporary large cohort of patients with type 2 diabetes followed from diagnosis. RESEARCH DESIGN AND METHODS Patients with type 2 diabetes diagnosed between 1995 and 2011 were retrieved from the Clinical Practice Research Datalink in the U.K., and followed from diagnosis until event of MI or end of study in 2013. Two subcohorts were defined: an early cohort with those diagnosed from 1997 to 2004 and a recent cohort with those diagnosed from 2004 to 2011. Association between each of three HbA1c metrics and MI was estimated using adjusted proportional hazards models. RESULTS In the overall cohort (n = 101,799), the risk increase for MI per 1% (10 mmol/mol) increase in HbA(1c) was higher for updated latest and updated mean HbA(1c) of 1.11 (95% CI 1.09-1.13) and 1.15 (1.13-1.18) than for baseline HbA(1c) of 1.05 (1.03-1.06). In the early subcohort, the corresponding risk estimates were greater than those in the recent subcohort. When categorized, the updated latest variable showed an increased risk for HbA(1c) <6% (42 mmol/mol), relative category 6-7%, in the recent but not in the early subcohort, with hazard ratios of 1.23 (1.08-1.40) and 1.01 (0.84-1.22), respectively. CONCLUSIONS The two time-updated HbA(1c) variables show a stronger relation with MI than baseline HbA(1c). The risk association between HbA(1c) and MI has decreased over time. In recently diagnosed patients with type 2 diabetes, an increased risk of MI exists at a current HbA(1c) of <6.0% (42 mmol/mol).
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Affiliation(s)
- Marita Olsson
- R&D AstraZeneca, Mölndal, Sweden Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | | | | | - Stanko Skrtic
- R&D AstraZeneca, Mölndal, Sweden Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marcus Lind
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Department of Medicine, NU-Hospital Organization, Uddevalla Hospital, Uddevalla, Sweden
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Abstract
Cardiovascular disease is a major cause of morbidity and mortality in patients with type 2 diabetes mellitus, with a two- to fourfold increase in cardiovascular disease risk compared with non-diabetic individuals. Abnormalities in lipid metabolism that are observed in the context of type 2 diabetes are among the major factors contributing to an increased cardiovascular risk. Diabetic dyslipidaemia includes not only quantitative lipoprotein abnormalities, but also qualitative and kinetic abnormalities that, together, result in a shift towards a more atherogenic lipid profile. The primary quantitative lipoprotein abnormalities are increased triacylglycerol (triglyceride) levels and decreased HDL-cholesterol levels. Qualitative lipoprotein abnormalities include an increase in large, very low-density lipoprotein subfraction 1 (VLDL1) and small, dense LDLs, as well as increased triacylglycerol content of LDL and HDL, glycation of apolipoproteins and increased susceptibility of LDL to oxidation. The main kinetic abnormalities are increased VLDL1 production, decreased VLDL catabolism and increased HDL catabolism. In addition, even though LDL-cholesterol levels are typically normal in patients with type 2 diabetes, LDL particles show reduced turnover, which is potentially atherogenic. Although the pathophysiology of diabetic dyslipidaemia is not fully understood, the insulin resistance and relative insulin deficiency observed in patients with type 2 diabetes are likely to contribute to these lipid changes, as insulin plays an important role in regulating lipid metabolism. In addition, some adipocytokines, such as adiponectin or retinol-binding protein 4, may also contribute to the development of dyslipidaemia in patients with type 2 diabetes.
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Affiliation(s)
- Bruno Vergès
- Service Endocrinologie, Diabétologie et Maladies Métaboliques, Hôpital du Bocage, 2 bd Maréchal de Lattre de Tassigny, 21000, Dijon, France,
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Moe B, Augestad LB, Flanders WD, Dalen H, Nilsen TIL. The adverse association of diabetes with risk of first acute myocardial infarction is modified by physical activity and body mass index: prospective data from the HUNT Study, Norway. Diabetologia 2015; 58:59-66. [PMID: 25297571 DOI: 10.1007/s00125-014-3388-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 09/05/2014] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS Diabetes increases the risk of acute myocardial infarction (AMI) and effective means for primary prevention are warranted. We prospectively examined the joint association of diabetes and leisure-time physical activity, as well as of diabetes and BMI, with the risk of AMI. METHODS A total of 55,534 men and women in the Norwegian HUNT Study were followed-up for first AMI by hospital admission registries and the Cause of Death Registry. Cox proportional adjusted HRs with 95% CIs were estimated. RESULTS Overall, 1,887 incident AMIs occurred during 12.3 years. Compared with inactive people without diabetes, inactive people with diabetes had an HR of 2.37 (95% CI 1.58, 3.57), whereas the HR among highly active persons with diabetes was 1.04 (95% CI 0.62, 1.74). Normal-weight (BMI 18.5-25 kg/m(2)) persons with diabetes had an HR of 1.60 (95% CI 1.05, 2.44) and obese (BMI > 30 kg/m(2)) persons with diabetes had an HR of 2.55 (95% CI 1.97, 3.29) compared with normal-weight persons without diabetes. The data suggest biological interaction between diabetes and physical activity, with a relative excess risk of inactivity and diabetes of 1.43 (95% CI 0.08, 2.78). For obesity and diabetes, the excess risk due to interaction was smaller (0.67; 95% CI -0.24, 1.58). CONCLUSIONS/INTERPRETATION Body weight and, in particular, physical activity modified the association between diabetes and risk of first AMI. This highlights the potential importance of physical activity and weight maintenance in primary prevention of AMI among people with diabetes.
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Affiliation(s)
- Børge Moe
- Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, 7491, Trondheim, Norway,
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Cooper C, Fox KM, Borer JS. Ischaemic cardiac events and use of strontium ranelate in postmenopausal osteoporosis: a nested case-control study in the CPRD. Osteoporos Int 2014; 25:737-45. [PMID: 24322476 PMCID: PMC3906542 DOI: 10.1007/s00198-013-2582-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Accepted: 11/15/2013] [Indexed: 11/27/2022]
Abstract
UNLABELLED We explored the cardiac safety of the osteoporosis treatment strontium ranelate in the UK Clinical Practice Research Datalink. While known cardiovascular risk factors like obesity and smoking were associated with increased cardiac risk, use of strontium ranelate was not associated with any increase in myocardial infarction or cardiovascular death. INTRODUCTION It has been suggested that strontium ranelate may increase risk for cardiac events in postmenopausal osteoporosis. We set out to explore the cardiac safety of strontium ranelate in the Clinical Practice Research Datalink (CPRD) and linked datasets. METHODS We performed a nested case-control study. Primary outcomes were first definite myocardial infarction, hospitalisation with myocardial infarction, and cardiovascular death. Cases and matched controls were nested in a cohort of women treated for osteoporosis. The association with exposure to strontium ranelate was analysed by multivariate conditional logistic regression. RESULTS Of the 112,445 women with treated postmenopausal osteoporosis, 6,487 received strontium ranelate. Annual incidence rates for first definite myocardial infarction (1,352 cases), myocardial infarction with hospitalisation (1,465 cases), and cardiovascular death (3,619 cases) were 3.24, 6.13, and 14.66 per 1,000 patient-years, respectively. Obesity, smoking, and cardiovascular treatments were associated with significant increases in risk for cardiac events. Current or past use of strontium ranelate was not associated with increased risk for first definite myocardial infarction (odds ratio [OR] 1.05, 95 % confidence interval [CI] 0.68-1.61 and OR 1.12, 95 % CI 0.79-1.58, respectively), hospitalisation with myocardial infarction (OR 0.84, 95 % CI 0.54-1.30 and OR 1.17, 95 % CI 0.83-1.66), or cardiovascular death (OR 0.96, 95 % CI 0.76-1.21 and OR 1.16, 95 % CI 0.94-1.43) versus patients who had never used strontium ranelate. CONCLUSIONS Analysis in the CPRD did not find evidence for a higher risk for cardiac events associated with the use of strontium ranelate in postmenopausal osteoporosis.
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Affiliation(s)
- C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK,
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Okayama KI, Mita T, Gosho M, Yamamoto R, Yoshida M, Kanazawa A, Kawamori R, Fujitani Y, Watada H. Carotid intima-media thickness progression predicts cardiovascular events in Japanese patients with type 2 diabetes. Diabetes Res Clin Pract 2013; 101:286-92. [PMID: 23835494 DOI: 10.1016/j.diabres.2013.06.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Revised: 05/25/2013] [Accepted: 06/10/2013] [Indexed: 11/29/2022]
Abstract
AIMS The aim of this retrospective study was to investigate the relationship between progression of carotid intima-media thickness (cIMT) and cardiovascular events in Japanese patients with type 2 diabetes mellitus (T2DM) and free of history of cardiovascular events. METHODS Patients with T2DM (n=342) without history of cardiovascular events whose cIMT was assessed more than twice by ultrasonography were recruited and followed up for cardiovascular events. RESULTS During a mean follow-up of 7.6 years, 56 (16.4%) cardiovascular events (27 coronary events and 29 cerebrovascular events) were recorded. Multivariate analysis with the Cox proportional hazard model identified cIMT progression as a significant determinant of cardiovascular events, with a hazard ratio (HR) of 2.24 (95% confidence interval; CI, 1.25-4.03, P<0.01), in addition to baseline cIMT. The Kaplan-Meier curves also showed significantly higher event rate in patients with high cIMT progression compared with those with low cIMT progression (log-rank χ(2)=6.65; P<0.01). Furthermore, the combination of high baseline cIMT and high cIMT progression was a significant predictor of cardiovascular events. CONCLUSION Our findings suggest that cIMT progression, in addition to baseline cIMT, is a predictor of cardiovascular events in patients with T2DM without history of cardiovascular events, and that the combination of cIMT progression and baseline cIMT has a strong predictive power for such events.
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Affiliation(s)
- Kaede Ishikawa Okayama
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan
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Magri CJ, Fava S. Should diabetes still be considered a coronary artery disease equivalent? J Cardiovasc Med (Hagerstown) 2012; 13:760-5. [PMID: 22885535 DOI: 10.2459/jcm.0b013e3283577295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Diabetes is well established as a cardiovascular risk factor and is currently regarded as a coronary artery disease equivalent. However, some recent data have contradicted the concept. We review the currently available data and usefulness or otherwise of this concept. While the concept of coronary artery disease equivalence has served to highlight the importance of diabetes as a risk factor, it has a number of problems. We propose that it would be more useful to consider diabetes as a myocardial infarction risk equivalent. This is not only more precise and in line with the literature but also conveys better the message that patients with diabetes and one or more previous myocardial infarction(s) are at even higher risk.
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Affiliation(s)
- Caroline J Magri
- Department of Cardiology, Mater Dei Hospital, University of Malta, Malta
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Kautzky-Willer A, Kamyar MR, Gerhat D, Handisurya A, Stemer G, Hudson S, Luger A, Lemmens-Gruber R. Sex-specific differences in metabolic control, cardiovascular risk, and interventions in patients with type 2 diabetes mellitus. ACTA ACUST UNITED AC 2011; 7:571-83. [PMID: 21195357 DOI: 10.1016/j.genm.2010.12.001] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/18/2010] [Indexed: 12/28/2022]
Abstract
BACKGROUND Sex-specific differences appear particularly relevant in the management of type 2 diabetes mellitus (T2DM), with women experiencing greater increases in cardiovascular morbidity and mortality than do men. OBJECTIVE The aim of this article was to investigate the influence of biological sex on clinical care and microvascular and macrovascular complications in patients with T2DM in a Central European university diabetes clinic. METHODS In a cross-sectional study, sex-specific disparities in metabolic control, cardiovascular risk factors, and diabetic complications, as well as concomitant medication use and adherence to treatment recommendations, were evaluated in 350 consecutive patients who were comparable for age, diabetes duration, and body mass index. Study inclusion criteria included age ≤75 years, T2DM, a documented history of presence or absence of coronary heart disease (CHD), and informed consent. Patients were followed in the diabetes outpatient clinic between November 2007 and March 2008. RESULTS Two hundred and one patients with T2DM met inclusion criteria (93 [46.3%] women, 108 [53.7%] men). Women with T2DM had higher mean (SE) systolic blood pressure (155.4 [22.5] vs 141.0 [19.8] mm Hg for men; P < 0.001) and total cholesterol (TC) (5.28 [1.34] vs 4.86 [1.29] mmol/L for men; P < 0.05), but a lower TC:HDL-C ratio (4.1 [1.19] vs 4.5 [1.2] for men; P < 0.05). Slightly more men (32.4%) than women (26.9%) reached the therapeutic goal of <7.0% for glycosylated hemoglobin. Women with shorter diabetes duration (<10 years) received oral antihyperglycemic therapy less frequently (P < 0.05). Women with longer disease duration had hypertension more frequently than did their male counterparts (100% vs 86.0%, respectively; P < 0.01). Despite a similar rate of CHD, men were twice as likely as women to have had coronary interventions (percutaneous transluminal coronary angioplasty/coronary artery bypass graft, 25.0% vs 12.9%, respectively; P < 0.05). Women with CHD also had a higher rate of cerebral ischemia than did men (27.6% vs 5.4%, respectively; P < 0.05) and received aspirin less frequently for secondary prevention (P < 0.001). Men had greater overall adherence to diabetes and cardiovascular risk guidelines than did women (66.4% vs 58.9%, respectively; P < 0.01). CONCLUSIONS In this study of diabetes clinic outpatients, women with T2DM had a worse cardiovascular risk profile and achieved therapeutic goals less frequently than did men. Treatment strategies should be improved in both sexes, but women with diabetes may be in need of more aggressive treatment, especially when cardiovascular disease is present.
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Single nucleotide polymorphisms of TCF7L2 are linked to diabetic coronary atherosclerosis. PLoS One 2011; 6:e17978. [PMID: 21423583 PMCID: PMC3058059 DOI: 10.1371/journal.pone.0017978] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2010] [Accepted: 02/20/2011] [Indexed: 01/22/2023] Open
Abstract
Background Coronary artery disease (CAD) shares common risk factors with type 2 diabetes (T2DM). Variations in the transcription factor 7-like 2 (TCF7L2) gene, particularly rs7903146, increase T2DM risk. Potential links between genetic variants of the TCF7L2 locus and coronary atherosclerosis are uncertain. We therefore investigated the association between TCF7L2 polymorphisms and angiographically determined CAD in diabetic and non-diabetic patients. Methodology/Principal Findings We genotyped TCF7L2 variants rs7903146, rs12255372, and rs11196205 in a cross-sectional study including 1,650 consecutive patients undergoing coronary angiography for the evaluation of established or suspected stable CAD. Significant CAD was diagnosed in the presence of coronary stenoses ≥50%. Variant rs7903146 in the total study cohort was significantly associated with significant CAD (adjusted additive OR = 1.29 [1.09–1.53]; p = 0.003). This association was strong and significant in T2DM patients (n = 393; OR = 1.91 [1.32–2.75]; p = 0.001) but not in non-diabetic subjects (OR = 1.09 [0.90–1.33]; p = 0.370). The interaction risk allele by T2DM was significant (pinteraction = 0.002), indicating a significantly stronger impact of the polymorphism on CAD in T2DM patients than in non-diabetic subjects. TCF7L2 polymorphisms rs12255372 and rs11196205 were also significantly associated with CAD in diabetic patients (adjusted additive OR = 1.90 [1.31–2.74]; p = 0.001 and OR = 1.75 [1.22–2.50]; p = 0.002, respectively). Further, haplotype analysis demonstrated that haplotypes including the rare alleles of all investigated variants were significantly associated with CAD in the whole cohort as well as in diabetic subjects (OR = 1.22 [1.04–1.43]; p = 0.013 and OR = 1.67 [1.19–2.22]; p = 0.003, respectively). Conclusions/Significance These results suggest that TCF7L2 variants rs7903146 rs12255372, and rs11196205 are significantly associated with angiographically diagnosed CAD, specifically in patients with T2DM. TCF7L2 therefore appears as a genetic link between diabetes and atherosclerosis.
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Brophy S, Cooksey R, Gravenor MB, Weston C, Macey SM, John G, Williams R, Lyons RA. Population based absolute and relative survival to 1 year of people with diabetes following a myocardial infarction: a cohort study using hospital admissions data. BMC Public Health 2010; 10:338. [PMID: 20546579 PMCID: PMC2894776 DOI: 10.1186/1471-2458-10-338] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2010] [Accepted: 06/14/2010] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND People with diabetes who experience an acute myocardial infarction (AMI) have a higher risk of death and recurrence of AMI. This study was commissioned by the Department for Transport to develop survival tables for people with diabetes following an AMI in order to inform vehicle licensing. METHODS A cohort study using data obtained from national hospital admission datasets for England and Wales was carried out selecting all patients attending hospital with an MI for 2003-2006 (inclusion criteria: aged 30+ years, hospital admission for MI (defined using ICD 10 code I21-I22). STATA was used to create survival tables and factors associated with survival were examined using Cox regression. RESULTS Of 157,142 people with an MI in England and Wales between 2003-2006, the relative risk of death or recurrence of MI for those with diabetes (n = 30,407) in the first 90 days was 1.3 (95%CI: 1.26-1.33) crude rates and 1.16 (95%CI: 1.1-1.2) when controlling for age, gender, heart failure and surgery for MI) compared with those without diabetes (n = 129,960). At 91-365 days post AMI the risk was 1.7 (95% CI 1.6-1.8) crude and 1.50 (95%CI: 1.4-1.6) adjusted. The relative risk of death or re-infarction was higher at younger ages for those with diabetes and directly after the AMI (Relative risk; RR: 62.1 for those with diabetes and 28.2 for those without diabetes aged 40-49 [compared with population risk]). CONCLUSIONS This is the first study to provide population based tables of age stratified risk of re-infarction or death for people with diabetes compared with those without diabetes. These tables can be used for giving advice to patients, developing a baseline to compare intervention studies or developing license or health insurance guidelines.
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Affiliation(s)
| | | | | | - Clive Weston
- School of Medicine, Swansea University, SA2 8PP, UK
| | | | - Gareth John
- Health Solutions Wales. Brunel House, Cardiff, CF24 0HA, UK
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Abstract
Our objective was to determine whether human diabetic myocardium is amenable to the cardioprotective actions of ischaemic preconditioning. Human right atrial appendages were harvested from diabetic and non-diabetic patients undergoing elective coronary artery bypass graft surgery. The atrial trabeculae were isolated and subjected to 90 min. of hypoxia followed by 120 min. of reoxygenation, following which the percentage recovery of baseline contractile function was determined. The atrial trabeculae were randomized to: (i) controls (groups 1 and 3); (ii) standard hypoxic preconditioning (HPC) protocol consisting of 4 min. of hypoxia/16 min. of reoxygenation before the 90 min. index hypoxic period (groups 2 and 4); (iii) Prolonged HPC protocol consisting of: 7 min. of hypoxia /16 min. of reoxygenation before the index hypoxic period (group 5). In addition, basal levels of Akt phosphorylation were determined in right atrial appendages harvested from non-diabetic patients and diabetic patients to determine whether PI3K-Akt signalling is down-regulated in the diabetic heart. Standard HPC improved baseline contractile function in human atrial trabeculae harvested from non-diabetic patients (52.4 +/- 3.8% with HPC versus 30.0 +/- 3.2% in control: P = 0.001; N = 6/group), but not in atrial trabeculae isolated from diabetic patients (22.6 +/- 3.3% with HPC versus 28.5 +/- 1.9% in control: P > 0.05; N = 6/group). However, the prolonged HPC protocol did improve baseline contractile function in atrial trabeculae harvested from diabetic patients (42.0 +/- 2.4% with HPC versus 28.5 +/- 1.9% in control: P= 0.001; N > or = 6/group). Western blot analysis demonstrated lower levels of phosphorylated Akt in diabetic myocardium compared to non-diabetic myocardium (0.13 +/- 0.03 arbitrary units versus 0.39 +/- 0.11 arbitrary units: P= 0.047; N > or = 4/group). From the data obtained it appears that the threshold for preconditioning the diabetic myocardium is elevated which may be related to the down-regulation of the PI3K-Akt pathway.
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Affiliation(s)
- Vivek Sivaraman
- The Hatter Cardiovascular Institute, University College London, UK
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Current literature in diabetes. Diabetes Metab Res Rev 2009; 25:i-x. [PMID: 19219862 DOI: 10.1002/dmrr.918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Shawe J, Mulnier H, Nicholls P, Lawrenson R. Use of hormonal contraceptive methods by women with diabetes. Prim Care Diabetes 2008; 2:195-199. [PMID: 19019754 DOI: 10.1016/j.pcd.2008.10.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2008] [Revised: 10/15/2008] [Accepted: 10/16/2008] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND METHODOLOGY This study sought to establish use of hormonal contraception in UK women aged between 15 and 44 years with type 1 or type 2 diabetes compared with comparison groups with no diabetes. A cross sectional study design was used to compare 947 cases of type 1 diabetes and 365 cases of type 2 diabetes with comparison groups matched for age. Subjects were selected from the General Practice Research Database (GPRD). RESULTS Women with diabetes were less likely to use hormonal contraception than women without diabetes--type 1 RR 0.83 (95% CI 0.59-0.93), type 2 RR 0.60 (95% CI 0.42-0.83). Women with type 1 diabetes were more likely to be prescribed a combined pill than a progestogen only pill (POP), but were significantly more likely to be prescribed the POP than were women without diabetes RR 1.65 (95% CI 1.26-2.13). Women with type 2 diabetes were less likely to be prescribed a combined oral contraceptive RR 0.39 (95% CI 0.24-0.62). The injectable contraceptive Depo Provera was significantly more likely to be given to women with diabetes than the comparison group--type 1 RR 1.56 (95% CI 1.12-2.11), type 2 RR 3.57 (95% CI 2.15-5.60). DISCUSSION AND CONCLUSIONS The study highlighted significant variation in prescribing of hormonal contraception to women with type 1 and type 2 diabetes in comparison to those without diabetes. It is now recognised that hormonal contraception is a safe and effective option for women with uncomplicated diabetes. Possibly there are significant numbers of young women with poorly controlled diabetes or other risk factors for cardiovascular disease that have influenced clinicians in avoiding the use of hormonal contraception. Paradoxically it is these women who are at most risk from unplanned pregnancy.
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MESH Headings
- Adolescent
- Adult
- Case-Control Studies
- Contraception, Postcoital
- Contraceptive Agents, Female/adverse effects
- Contraceptive Agents, Female/therapeutic use
- Contraceptives, Oral, Combined/therapeutic use
- Contraceptives, Oral, Hormonal/therapeutic use
- Cross-Sectional Studies
- Databases as Topic
- Diabetes Mellitus, Type 1
- Diabetes Mellitus, Type 2
- Female
- Humans
- Medical Records Systems, Computerized
- Medroxyprogesterone Acetate/therapeutic use
- Practice Patterns, Physicians'
- Progesterone Congeners/therapeutic use
- United Kingdom
- Women's Health
- Young Adult
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Affiliation(s)
- Jill Shawe
- University of Surrey, Stag Hill, Guildford GU2 7TE, UK.
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