151
|
Miranda JJ, Lazo-Porras M, Bernabe-Ortiz A, Pesantes MA, Diez-Canseco F, Cornejo SDP, Trujillo AJ. The effect of individual and mixed rewards on diabetes management: A feasibility randomized controlled trial. Wellcome Open Res 2018; 3:139. [PMID: 30662958 PMCID: PMC6325609 DOI: 10.12688/wellcomeopenres.14824.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/19/2018] [Indexed: 11/20/2022] Open
Abstract
Background: Incentives play a role in introducing health-related benefits, but no interventions using mixed incentives, i.e. a combination of individual and group incentives, have been tested in individuals with type 2 diabetes mellitus (T2DM). We evaluated the feasibility of implementing individual- and mixed-incentives, with and without a supportive partner, on glycated haemoglobin (HbA1c) control and weight loss among patients with T2DM. Methods: This is a feasibility, sex-stratified, single-blinded, randomized controlled study in individuals with T2DM. All participants received diabetes education and tailored goal setting for weight and glycated haemoglobin (HbA1c). Participants were randomly assigned into three arms: individual incentives (Arm 1), mixed incentives-altruism (Arm 2), and mixed incentives-cooperation (Arm 3). Participants were accompanied by a diabetes educator every other week to monitor targets, and the intervention period lasted 3 months. The primary outcome was the change in HbA1c at 3 months from baseline. Weight and change body mass index (BMI) were considered as secondary outcomes. Results: Out of 783 patients screened, a total of 54 participants, 18 per study arm, were enrolled and 44 (82%) completed the 3-month follow-up. Mean baseline HbA1c values were 8.5%, 7.9% and 8.2% in Arm 1, Arm 2, and Arm 3, respectively. At 3 months, participants in all three study arms showed reductions in HbA1c ranging from -0.9% in Arm 2 to -1.4% in Arm 1. Weight and BMI also showed reductions. Conclusions: Individual and mixed cash incentives show important reductions in HbA1c, weight and BMI in patients with type 2 diabetes mellitus after 3 months. Recruitment and uptake of the intervention were successfully accomplished demonstrating feasibility to conduct larger effectiveness studies to test individual and mixed economic incentives for diabetes management. Registration: ClinicalTrials.gov Identifier NCT02891382.
Collapse
Affiliation(s)
- J. Jaime Miranda
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - María Lazo-Porras
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Antonio Bernabe-Ortiz
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - M. Amalia Pesantes
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Francisco Diez-Canseco
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Antonio J. Trujillo
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| |
Collapse
|
152
|
Miranda JJ, Lazo-Porras M, Bernabe-Ortiz A, Pesantes MA, Diez-Canseco F, Cornejo SDP, Trujillo AJ. The effect of individual and mixed rewards on diabetes management: A feasibility randomized controlled trial. Wellcome Open Res 2018; 3:139. [PMID: 30662958 PMCID: PMC6325609 DOI: 10.12688/wellcomeopenres.14824.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2018] [Indexed: 12/11/2022] Open
Abstract
Background: Incentives play a role in introducing health-related benefits, but no interventions using mixed incentives, i.e. a combination of individual and group incentives, have been tested in individuals with type 2 diabetes mellitus (T2DM). We evaluated the feasibility of implementing individual- and mixed-incentives, with and without a supportive partner, on glycated haemoglobin (HbA1c) control and weight loss among patients with T2DM. Methods: This is a feasibility, sex-stratified, single-blinded, randomized controlled study in individuals with T2DM. All participants received diabetes education and tailored goal setting for weight and glycated haemoglobin (HbA1c). Participants were randomly assigned into three arms: individual incentives (Arm 1), mixed incentives-altruism (Arm 2), and mixed incentives-cooperation (Arm 3). Participants were accompanied by a diabetes educator every other week to monitor targets, and the intervention period lasted 3 months. The primary outcome was the change in HbA1c at 3 months from baseline. Weight and change body mass index (BMI) were considered as secondary outcomes. Results: Out of 783 patients screened, a total of 54 participants, 18 per study arm, were enrolled and 44 (82%) completed the 3-month follow-up. Mean baseline HbA1c values were 8.5%, 7.9% and 8.2% in Arm 1, Arm 2, and Arm 3, respectively. At 3 months, participants in all three study arms showed reductions in HbA1c ranging from -0.9% in Arm 2 to -1.4% in Arm 1. Weight and BMI also showed reductions. Conclusions: Individual and mixed cash incentives show important reductions in HbA1c, weight and BMI in patients with type 2 diabetes mellitus after 3 months. Recruitment and uptake of the intervention were successfully accomplished demonstrating feasibility to conduct larger effectiveness studies to test individual and mixed economic incentives for diabetes management. Registration: ClinicalTrials.gov Identifier NCT02891382.
Collapse
Affiliation(s)
- J. Jaime Miranda
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - María Lazo-Porras
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Antonio Bernabe-Ortiz
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - M. Amalia Pesantes
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Francisco Diez-Canseco
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Antonio J. Trujillo
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| |
Collapse
|
153
|
Exercise Increases Adiponectin and Reduces Leptin Levels in Prediabetic and Diabetic Individuals: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Med Sci (Basel) 2018; 6:medsci6040097. [PMID: 30380802 PMCID: PMC6318757 DOI: 10.3390/medsci6040097] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 10/23/2018] [Accepted: 10/25/2018] [Indexed: 11/17/2022] Open
Abstract
It is speculated that lifestyle interventions known to improve diabetic metabolic state may exert their effects via adipokines. The aim of this systematic review and meta-analysis was to evaluate the chronic effects of physical exercise on adiponectin and leptin levels in adult prediabetic and diabetic individuals. PubMed, Embase, Scopus, The Cochrane Library, clinicaltrials.gov, and WHO Clinical Trials Registry were searched for randomized controlled trials. Pooled effects of interventions were assessed as mean difference (MD) with random effects model. Sensitivity analysis was conducted to test data robustness and subgroup analysis for study heterogeneity. Twenty-two trials with 2996 individuals were included in the meta-analysis. Physical exercise increased levels of adiponectin (MD: 0.42 µg/mL; 95% confidence interval (CI), 0.23, 0.60, p < 0.00001, n = 19 trials) and reduced leptin levels (MD: −1.89 ng/mL; 95% CI, −2.64, −1.14, p < 0.00001, n = 14 trials). These results were robust and remained significant after sensitivity analysis. Study heterogeneity was generally high. As for physical exercise modalities, aerobic exercise, but not other modalities, increased adiponectin and reduced leptin levels. In conclusion, physical exercise and, specifically, aerobic exercise, leads to higher adiponectin and lower leptin levels in prediabetic and diabetic adults. However, cautious interpretation of current findings is warranted.
Collapse
|
154
|
Holtz BE, Mitchell KM, Hershey DD, Cotten SR, Holmstrom AJ, Richman J, Dunneback JK, Wood MA. Using an mHealth App to Transition Care of Type 1 Diabetes from Parents to Teens: Protocol for a Pilot Study. JMIR Res Protoc 2018; 7:e10803. [PMID: 30377142 PMCID: PMC6234347 DOI: 10.2196/10803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 07/20/2018] [Accepted: 08/14/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Type 1 diabetes mellitus (T1DM) afflicts approximately 154,000 people under the age of 20 in the United States. Most people with T1DM are diagnosed at a young age, and parents have to take on the responsibility of T1DM management. Eventually, the child must begin to transition to self-management. Adolescents often struggle to take on responsibility for all the necessary tasks to successfully self-manage their T1DM. In fact, approximately three-quarters of adolescents are not achieving American Diabetes Association-recommended glycated hemoglobin (HbA1c) targets. This lack of adherence can lead to negative health outcomes. OBJECTIVE The goals of this interdisciplinary proposal are as follows: (1) to develop a unique and theory-driven technology using a mobile phone app to promote self-management behaviors for adolescents aged 10-15 years with T1DM and their parents and (2) to explore the feasibility and impact of the self-management mobile app. METHODS This study has two phases: app development and pilot testing. In the app development phase, the app will be conceptualized and a prototype will be tested. In Phase 2, the mobile app will undergo pilot testing to determine its feasibility and impact on diabetes self-management. RESULTS The pilot test was launched in September 2017. Data collection for the final pilot test is underway, and results are forthcoming. CONCLUSIONS Adolescents with T1DM and their parents can have a difficult time managing the transition of diabetes care. It is hoped that this app can help. The focus groups and prototype testing have indicated promising outcomes of app use. TRIAL REGISTRATION ClinicalTrials.gov NCT03436628; https://clinicaltrials.gov/ct2/show/NCT03436628 (Archived by WebCite at http://www.webcitation.org/72tHXTE2Z). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR1-10.2196/10803.
Collapse
Affiliation(s)
- Bree E Holtz
- Department of Advertising and Public Relations, Michigan State University, East Lansing, MI, United States
| | - Katharine M Mitchell
- Department of Advertising and Public Relations, Michigan State University, East Lansing, MI, United States
| | - Denise D Hershey
- College of Nursing, Michigan State University, East Lansing, MI, United States
| | - Shelia R Cotten
- Department of Media and Information, Michigan State University, East Lansing, MI, United States
| | - Amanda J Holmstrom
- Department of Communication, Michigan State University, East Lansing, MI, United States
| | - Joshua Richman
- Department of Surgery, University of Alabama-Birmingham, Birmingham, AL, United States
| | - Julie K Dunneback
- Department of Pediatric Endocrinology, Sparrow Health System, Lansing, MI, United States
| | - Michael A Wood
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States
| |
Collapse
|
155
|
Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 138:e484-e594. [PMID: 30354654 DOI: 10.1161/cir.0000000000000596] [Citation(s) in RCA: 238] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| |
Collapse
|
156
|
Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 138:e426-e483. [PMID: 30354655 DOI: 10.1161/cir.0000000000000597] [Citation(s) in RCA: 434] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| |
Collapse
|
157
|
Ostroumova OD, Surkova EV, Chikh EV, Rebrova EV, Borisov MS. Cognitive impairment in patients with type 2 diabetes mellitus: prevalence, pathogenetic mechanisms, the effect of antidiabetic drugs. DIABETES MELLITUS 2018. [DOI: 10.14341/dm9660] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In recent years, a large amount of data has been accumulated on the relationship between cognitive impairment, dementia and diabetes mellitus. This article presents an overview of modern literature, including the definition of cognitive functions, the modern classification of cognitive impairment, pathogenetic mechanisms of diabetes mellitus influence on the development of cognitive impairment and dementia (neurogenesis, integrity of the blood-brain barrier, systemic inflammatory reactions, hyper- and hypoglycemia, insulin resistance, vascular dysfunction of the microvasculature and increase in glucocorticosteroids). The influence of anti-diabetic medications on cognitive functions has been examined in detail: insulin preparations, oral hypoglycemic agents of the biguanide group (metformin), thiazolidinediones (rosiglitazone and pioglitazone), sulfonylurea derivatives (glycazide, glipizide), a-glucosidase (acarbose) inhibitors, incretin-directed therapy (receptor agonists glucan-like peptide (exenatide and liraglutide) and inhibitors of dipeptidylpeptidase type 4 (sitagliptin, vildagliptin and alogliptin)), sodium glucose inhibitors cotransporter type 2. The data demonstrating a multidirectional effect on the cognitive functions of various antidiabetic drugs is presented, the possible influence on the rate of progression of cognitive impairment and the risk of dementia of intensive control of plasma glucose level in comparison with the standard decrease in patients with type 2 diabetes is analyzed.
Collapse
|
158
|
Li J, Wang L, Chen F, Xia D, Miao L. Switching from glargine+insulin aspart to glargine+insulin aspart 30 before breakfast combined with exercise after dinner and dividing meals for the treatment of type 2 diabetes patients with poor glucose control - a prospective cohort study. BMC Endocr Disord 2018; 18:69. [PMID: 30285711 PMCID: PMC6167858 DOI: 10.1186/s12902-018-0297-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Accepted: 09/23/2018] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND This study aimed to examine the switch from glargine+once daily insulin aspart (1 + 1 regimen) to glargine+insulin aspart 30 before breakfast combined with exercise and in patients with type 2 diabetes mellitus (T2DM) with poorly controlled blood glucose levels. METHODS Consecutive patients with poorly controlled T2DM (n = 182) were switched from the 1 + 1 regimen to glargine+insulin aspart 30 before breakfast in combination with exercise after dinner and dividing meals in two (same final calories intake). The insulin doses were adjusted according to blood glucose levels within 4 weeks after the switch and maintained for 12 weeks. Fasting blood glucose (FBG), 2-hpostprandial glucose (2hPG), glycosylated hemoglobin (HbA1c), body mass index (BMI), daily insulin dose, and hypoglycemia events were assessed. RESULTS Sixteen weeks after the switch, 2 h PG levels and HbA1c levels (from 8.5 to 7.4%, P = 0.001) were improved. The proportions of patients reaching the HbA1c targets of 7.5% were improved (from 22.5 to 58.7%, P = 0.001). Among the 182 patients, 24 (13.2%) divided one meal into two meals, and 23 (12.6%) divided two meals into four meals. Among all patients, 8.5% had to reuse insulin aspart before dinner after the study. One patient with diarrhea and poor appetite experienced severe hypoglycemia. The rate of hypoglycemia was 3.76 events/patient-year. The daily insulin Aspart 30 dose was higher than the original insulin aspart dose (P = 0.001). CONCLUSIONS For patients with poorly controlled T2DM under the 1 + 1 regimen, switching to glargine+insulin aspart 30 before breakfast combined with exercise after dinner and dividing meals showed promising benefits.
Collapse
Affiliation(s)
- Jing Li
- Department of Endocrinology, The Affiliated Hospital of Medical School of Ningbo University, Zhejiang, China.
| | - Liming Wang
- Department of Endocrinology, The Affiliated Hospital of Medical School of Ningbo University, Zhejiang, China
| | - Fen Chen
- Department of Endocrinology, The Affiliated Hospital of Medical School of Ningbo University, Zhejiang, China
| | - Dongxia Xia
- Department of Endocrinology, The Affiliated Hospital of Medical School of Ningbo University, Zhejiang, China
| | - Lingling Miao
- Department of Endocrinology, The Affiliated Hospital of Medical School of Ningbo University, Zhejiang, China
| |
Collapse
|
159
|
Herrero Gil AM, Pinillos Robles J, Sabio Repiso P, Martín Maldonado JL, Garzón González G, Gil de Miguel Á. [Trends in the level of control of patients with type 2 diabetes from 2010 to 2015]. Aten Primaria 2018; 50:459-466. [PMID: 28838742 PMCID: PMC6836903 DOI: 10.1016/j.aprim.2017.04.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Revised: 04/03/2017] [Accepted: 04/05/2017] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Aim: To examine the trend in the level of control of glycated haemoglobin (HbA1c), blood pressure (BP), and LDL-cholesterol (LDL) in patients with type 2 diabetes mellitus between 2010 and 2015. METHODS Setting: 3 cut-offs in the years 2010, 2013, and 2015. Southeast area of Madrid. DESIGN Descriptive and cross-sectional epidemiological study. PARTICIPANTS Patients diagnosed and registered with type 2 diabetes. N=41,096 (2010), n=49,658 (2013), n=6,674 (2015) MAIN MEASUREMENTS: Measurement or not in the last year of HbA1c, BP, and LDL. Control of HbA1c (<7% individual targeting), BP (<140/90mmHg), and LDL (<100mg/dL, if cardiovascular disease <70mg/dL). Data were collected from electronic records of clinical history. The Chi-square test was used. RESULTS The percentages of patients with each parameter measured in 2010, 2013 and 2015 were: HbA1c: 36.4%, 37.0%, 62.0% (P<.001); BP: 33.2%, 43.3%, 65.0% (P<.001); LDL: 32.9%, 33.2%, 43.5% (P<.001). The percentages of patients with each parameter measured and controlled in 2010, 2013, and 2015 were: HbA1c: 59.6%, 59.1%, 79.6% (P<.001); BP: 74.9%, 67.4%, 79.2% (P<.001); LDL: 41.8%, 58.3%, 58.8% (P<.001) CONCLUSION: In the 2010-2015 period, a sustained but insufficient trend of better control of HbA1c, BP and LDL was observed in patients with diabetes. The frequency of the measurements of these parameters improved more than the control of them. It seems that efforts to improve care for the patient with diabetes pay off, but they still have to be maintained.
Collapse
Affiliation(s)
| | | | | | | | | | - Ángel Gil de Miguel
- Departamento de Medicina Preventiva y Salud Pública, Universidad Rey Juan Carlos, Madrid, España
| |
Collapse
|
160
|
Everitt B, Harrison HC, Nikkel C, Laswell E, Chen AMH. Clinical and economic considerations based on persistency with a novel insulin delivery device versus conventional insulin delivery in patients with type 2 diabetes: A retrospective analysis. Res Social Adm Pharm 2018; 15:1126-1132. [PMID: 30301683 DOI: 10.1016/j.sapharm.2018.09.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 09/25/2018] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Insulin is one of the most efficacious treatments for hyperglycemia; however, adherence to insulin therapy is poor, impacting its efficacy. Thus, the objectives of this study were to determine if persistent use of a new insulin delivery option, V-Go, improved clinical outcomes and secondly compare clinical and economic outcomes between persistent use of V-Go and conventional insulin delivery (CID). METHODS A retrospective review of an outpatient clinic's records was performed. Patients initiating V-Go with documented persistent use of V-Go or resumed persistent use of CID after short-term V-Go use were included (≥5 months of persistency). Baseline data and a total of two post-V-Go or CID initiation visits were examined for clinical and economic outcomes. Cost-effectiveness of each therapy was calculated by dividing the mean cost difference (baseline to office visit 2) by the mean change in A1c (baseline to office visit 2). RESULTS V-Go persistent patients had a significant decrease in A1c (-1.42; p < 0.001). Between baseline and office visit two, they required less insulin units/day and units/kg and had significantly lower A1c, insulin units/day, insulin units/kg, and 30-day insulin costs than CID patients. V-Go persistent patients had a lower incremental cost by $695.61 per 1% change in A1c compared to CID persistent patients. CONCLUSIONS Utilization of a new insulin delivery option resulted in improved clinical outcomes compared to CID and was more cost-effective. Clinicians and health plans should consider the use of new insulin delivery options for the management of patients with diabetes on insulin therapy to promote persistence.
Collapse
Affiliation(s)
- Beverly Everitt
- Endocrinology Consultants, 1168 First Colonial Road, Suite 300, Virginia Beach, VA, 23454, USA
| | - H Courtenay Harrison
- Endocrinology Consultants, 1168 First Colonial Road, Suite 300, Virginia Beach, VA, 23454, USA
| | - Carla Nikkel
- Medical Affairs, Valeritas, Inc., 750 Route 202 South, Ste 600, Bridgewater, NJ, 08807, USA.
| | - Emily Laswell
- Cedarville University School of Pharmacy, 251 N. Main St., Cedarville, OH, 45314, USA
| | - Aleda M H Chen
- Cedarville University School of Pharmacy, 251 N. Main St., Cedarville, OH, 45314, USA
| |
Collapse
|
161
|
Chen YY, Fang WH, Wang CC, Kao TW, Chang YW, Yang HF, Wu CJ, Sun YS, Chen WL. Association of Percentage Body Fat and Metabolic Health in Offspring of Patients with Cardiovascular Diseases. Sci Rep 2018; 8:13831. [PMID: 30218093 PMCID: PMC6138631 DOI: 10.1038/s41598-018-32230-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 09/04/2018] [Indexed: 12/11/2022] Open
Abstract
Family history was one of the major risk factors for developing adverse health outcomes such as metabolic syndrome (MetS), type 2 diabetes mellitus (DM) and hypertension (HTN). Our aim was to examine the relationship between different family histories and cardiometabolic events, including DM, stroke, myocardial infarction (MI), and HTN. Participants who attended the health examinations at the Tri-Service General Hospital from 2010 to 2016 were enrolled in the study and were categorized into four groups by representing different family history. A multivariable logistic regression model was used for the associations between various family history with the cardiometabolic events. Subjects with family history of DM were divided into quartiles by percentage body fat (PBF) to be analyzed for these adverse outcomes. In the cross-sectional analysis, subjects with family history of DM had significant association with MetS (OR = 1.34 [95%CI: 1.17-1.54]) and DM (OR = 3.03 [95%CI: 2.44-3.76]), and those with family history of HTN were positively associated with HTN (OR = 1.60 [95%CI: 1.41-1.81]). Notably, those with family history of DM in higher PBF quartiles had substantially increased association of cardiometabolic events (MetS: OR = 15.20 [95%CI: 9.87-23.39]; DM: OR = 3.35 [95%CI: 1.91-5.90]; HTN: 2.81 [95%CI: 1.84-4.29]). Individuals with family history of DM were positively associated with MetS and DM, and those with family history of HTN was associated with HTN. Family history assessment was requested especially in obese population for screening adverse health outcomes.
Collapse
Affiliation(s)
- Yuan-Yuei Chen
- Department of Internal Medicine, Tri-Service General Hospital Songshan Branch; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Wen-Hui Fang
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chung-Ching Wang
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Tung-Wei Kao
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Graduate Institute of Clinical Medical, College of Medicine, National Taiwan University, Taipei, Taiwan, Republic of China
| | - Yaw-Wen Chang
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Hui-Fang Yang
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chen-Jung Wu
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Family Medicine, Department of Community Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, Republic of China
| | - Yu-Shan Sun
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Wei-Liang Chen
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.
- Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.
- Health Management Center, Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
| |
Collapse
|
162
|
Cardiovascular Mortality of Oral Antidiabetic Drugs Approved Before and After the 2008 US FDA Guidance for Industry: A Systemic Review and Meta-Analysis. Clin Drug Investig 2018; 38:491-501. [PMID: 29564723 DOI: 10.1007/s40261-018-0639-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Both diabetes and antidiabetic drugs (ADDs) increase the risk for cardiovascular (CV) diseases. Due to the increasing concern about CV safety associated with ADDs, the US FDA revised regulatory guidelines in 2008 to include CV safety as an endpoint. OBJECTIVE The objective of the current study was to conduct a systematic review with meta-analysis to compare CV mortality of oral ADDs approved before and after the FDA's 2008 guidance. METHODS Three electronic databases (PubMed, Scopus, and the Clinical Trial Registry) were searched to retrieve studies published up to 24 February 2017. Randomized clinical trials were included in this study if they (1) were published in the English language; (2) included adults with type 2 diabetes mellitus with or without CV risk factors, who were taking at least one oral antidiabetic drug; and (3) had at least one study outcome as CV mortality. Meta-analysis was performed using a random-effects model. Small-study effects were accessed using funnel plot symmetry. The primary outcome was CV mortality. RESULTS We found that there was no significant increase in CV mortality for drugs approved before and after 2008. The overall odds ratio (OR) and the upper bound of the two-sided 95% confidence interval (CI) for all drugs approved after 2008 (OR 0.74, 95% CI 0.52-1.07) were lower than the overall OR for all drugs approved before 2008 (OR 1.03, 95% CI 0.89-1.19). In addition, the upper bounds of the two-sided 95% CI for both groups of drugs before and after 2008 were below 1.3. Empagliflozin, which was approved after the guidance, was significantly associated with a reduction in CV mortality. CONCLUSION The 2008 FDA guidance appears to have a positive impact on CV risk assessment of recently marketed drugs for the management of diabetes.
Collapse
|
163
|
Affiliation(s)
- Geng Song
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| | - Chen Wang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| | - Hui-Xia Yang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| |
Collapse
|
164
|
Machry RV, Rados DV, Gregório GRD, Rodrigues TC. Self-monitoring blood glucose improves glycemic control in type 2 diabetes without intensive treatment: A systematic review and meta-analysis. Diabetes Res Clin Pract 2018; 142:173-187. [PMID: 29857093 DOI: 10.1016/j.diabres.2018.05.037] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 04/29/2018] [Accepted: 05/22/2018] [Indexed: 11/15/2022]
Abstract
AIMS Systematic review and meta-analysis to evaluate the effect of Self-Monitoring of Blood Glucose (SMBG) on glycemic control in patients with type 2 Diabetes (T2D). METHODS We searched the Medline, Embase, Cochrane Central, and ClinicalTrials.gov databases up to 20 July 2017. We also performed a manual search of abstracts from recent meetings of the American Diabetes Association and the European Association for the Study of Diabetes. STUDY SELECTION randomized controlled trials (RCTs) conducted in patients with T2D comparing any kind of SMBG to a control group. Two independent reviewers assessed the eligibility of references. Influence of SMBG in glycated hemoglobin (HbA1c) was aggregated as weighted mean difference accessed by direct random effect meta-analyses at 12, 24 weeks and 1 year. Sub-analyses were made to assess the effects of previous glycemic control and number of tests performed. RESULTS SMBG was associated with a reduction of HbA1c at 12 weeks (-0.31%; 95% CI: -0.57 to -0.05) and 24 weeks (-0.34%; 95%CI: -0.52 to -0.17), but no difference was found for 1 year. Subgroup analysis including studies with baseline HbA1c greater than 8% showed a higher reduction of HbA1c: -0.83% (95% CI: -1.55 to -0.11) at 12 weeks, and -0.48% (95% CI: -0.77 to -0.19) at 24 weeks, with no difference for 1 year nor for the stratification for number the tests. CONCLUSION SMBG seems to lead to a slightly better glycemic control in the short term in patients with T2D. Patients decompensated at baseline appear to have the greatest benefit. PROSPERO register: CRD42016033558.
Collapse
Affiliation(s)
- Rafael Vaz Machry
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Department of Internal Medicine, Medical School, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil.
| | - Dimitris Varvaki Rados
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Division of Internal Medicine, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Ticiana Costa Rodrigues
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Division of Endocrinology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; Department of Internal Medicine, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| |
Collapse
|
165
|
Jia X, Mehta PB, Ye Y, Alam M, Birnbaum Y, Bajaj M. SGLT2 Inhibitors and Cardiovascular Outcomes: Current Perspectives and Future Potentials. Curr Diab Rep 2018; 18:63. [PMID: 29995242 DOI: 10.1007/s11892-018-1038-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have been shown to exert benefit on cardiac outcomes. In this review, we provide updates on available clinical data, studies on potential mechanisms for the CV effects, as well as discuss potential clinical implications of these new findings. RECENT FINDINGS Since the publications of the EMPA-REG and CANVAS trials, large multi-national cohort studies have further shown the cardioprotective effects of SGLT2i. Moreover, new studies examining SGLT2i action on sodium-hydrogen exchanger proteins in both the heart and the kidney, on myocardial energetics and impact on inflammation and atherosclerosis continue to shed light on the multitude of pleotropic effects of these agents. Though more data is needed to substantiate the safety and efficacy, SGLT2i should be considered as a valuable therapy to help reduce CV risk in patients with diabetes. Ultimately, SGLT2i may have utility in preventing progression to diabetes or providing CV protection in patients who do not have diabetes.
Collapse
Affiliation(s)
- Xiaoming Jia
- The Section of Cardiology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Paras B Mehta
- Endocrinology and Diabetes Division, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Yumei Ye
- The Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA
| | - Mahboob Alam
- The Section of Cardiology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | - Yochai Birnbaum
- The Section of Cardiology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | - Mandeep Bajaj
- Endocrinology and Diabetes Division, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| |
Collapse
|
166
|
Vavlukis M, Vavlukis A. Adding ezetimibe to statin therapy: latest evidence and clinical implications. Drugs Context 2018; 7:212534. [PMID: 30023003 PMCID: PMC6044319 DOI: 10.7573/dic.212534] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 06/11/2018] [Accepted: 06/12/2018] [Indexed: 12/13/2022] Open
Abstract
Background Statins are the hypolipemic treatment of choice for hyperlipidemia with confirmed atherosclerotic cardiovascular disease (ASCVD) protective effect, proven even in normolipemic patients. But in rare situations, even with a high-dose treatment regimen, or maximally tolerated statin dose treatment, treatment targets of low-density lipoprotein cholesterol (LDL-C), according to the risk profile of the patient, cannot be achieved. Combination therapy with ezetimibe is an effective treatment choice, as it is one of the few hypolipemic drugs with proven ASCVD protective effect. Aim In this review, we address the question of therapeutic efficacy and safety of ezetimibe in combination therapy with statins, as expressed through its hypolipemic and vasoprotective effects and its potential side effects. Methods We conducted a literature review of English articles through PubMed, PubMed Central, and Cochrane for randomized clinical trials, retrospective analyses, meta-analyses, and review articles by using key words: ezetimibe, statins, combination therapy, adverse effects. We analyzed data on ezetimibe–statin combination therapy in terms of hypolipemic efficacy, ASCVD risk reduction, and adverse effects. Results Statins have been proven to be very effective in reducing ASCVD risk, with no apparent threshold at which LDL-C lowering is not associated with reduced risk. Yet, a significant on-treatment residual risk of major cardiovascular (CV) events still exists according to meta-analyses of statin trials. Findings like this point to the unmet needs of the patients on statin treatment. The unmet needs in terms of LDL-C targets and ASCVD risk reduction raise the question of statin combination therapy. Ezetimibe is a cholesterol-lowering drug from the class of cholesterol absorption inhibitors, with the potency to decrease LDL-C by about 10–18% and Apo B by 11–16%, while in combination therapy with statins, an additional LDL-C lowering of 25% or total LDL-C lowering of 34–61% is observed. The effects on LDL-C and other lipoprotein (LP) fractions are translated by ASCVD risk reduction. Ezetimibe is one of the few hypolipemic medications that leads to additional ASCVD risk reduction when added to statin therapy. Present data on ezetimibe support the existence of pleotropic anti-inflammatory and antioxidative effects, in addition to its hypolipemic effect, which are responsible for this added ASCVD risk reduction on top of statin monotherapy. Ezetimibe, in combination therapy with a maximal or maximally tolerated statin therapy, is used in patients who fail to achieve target LDL-C levels with statin monotherapy. In combination with low-to-moderate statin dose treatment, or with second- or third-line statins, ezetimibe is used in situations of statin-associated muscle symptoms. The combination therapy is relatively safe. Conclusion Ezetimibe add-on to statin combination therapy is an effective treatment option that leads to additional LDL-C lowering – recommended in situations where, with a maximal or maximally tolerated statin monotherapy treatment regimen, LDL-C targets cannot be achieved. It leads to additional ASCVD risk reduction, without raising significant safety concerns.
Collapse
Affiliation(s)
- Marija Vavlukis
- University Clinic of Cardiology, Vodnjanska St. no 17, Medical Faculty, Ss' Cyril and Methodius University, 1000, Skopje, Republic of Macedonia
| | - Ana Vavlukis
- Faculty of Pharmacy, Ss' Cyril and Methodius University, 1000, Skopje, Republic of Macedonia
| |
Collapse
|
167
|
Albani A, Ferraù F, Ciresi A, Pivonello R, Scaroni C, Iacuaniello D, Zilio M, Guarnotta V, Alibrandi A, Messina E, Boscaro M, Giordano C, Colao A, Cannavo S. Pasireotide treatment reduces cardiometabolic risk in Cushing's disease patients: an Italian, multicenter study. Endocrine 2018; 61:118-124. [PMID: 29383677 DOI: 10.1007/s12020-018-1524-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 01/09/2018] [Indexed: 02/06/2023]
Abstract
PURPOSE Patients with Cushing's disease (CD) experience metabolic alterations leading to increased cardiovascular mortality. Recently, the visceral adiposity index (VAI) has been proposed as a marker of visceral adipose tissue dysfunction (ATD) and of the related cardiometabolic risk. We aimed to evaluate the impact of 12-month pasireotide treatment on cardiometabolic risk in CD patients. METHODS This is a multicentre, prospective, and observational study. Sixteen CD patients, referred to the Endocrine Units of the University Hospitals of Messina, Napoli, Padova, and Palermo (Italy), successfully treated with pasireotide for 12 month have been enrolled. In all patients, we assessed anthropometric, clinical, and biochemical parameters and calculated VAI, ATD severity, Framingham, and atherosclerotic cardiovascular disease (ASCVD) risk scores, before and after 6 and 12 months of treatment with pasireotide (1200-1800 mcg/daily). RESULTS Before starting pasireotide treatment, ATD was present in 7/16 patients (mild in 2/16, moderate in 3/16, and severe 2/16). After 12 months of treatment: (i) 24h-urinary free cortisol levels (p = 0.003), BMI (p < 0.001), waist circumference (p = 0.001), LDL-cholesterol (p = 0.033), total-cholesterol (p = 0.032), triglycerides (p = 0.030), VAI (p = 0.015), and ATD severity (p = 0.026) were significantly decreased as compared to baseline; (ii) ATD was present in only 1/16 patients; (iii) prevalence of diabetes mellitus (p = 0.015) and HbA1c levels (p = 0.001) were significantly increased as compared to baseline; (iv) Framingham and ASCVD risk scores were not significantly different from pre-treatment values. CONCLUSIONS Twelve-month pasireotide treatment significantly reduces VAI and ATD in CD patients. These positive effects on cardiometabolic risk occur despite no change in Framingham and ASCVD risk scores and the increase in the prevalence of diabetes mellitus.
Collapse
Affiliation(s)
- A Albani
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - F Ferraù
- Department of Human Pathology of Adulthood and Childhood 'G. Barresi', University of Messina, Messina, Italy.
| | - A Ciresi
- Section of Endocrinology, Diabetology and Metabolism, DIBIMIS, University of Palermo, Palermo, Italy
| | - R Pivonello
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University of Naples Federico II, Naples, Italy
| | - C Scaroni
- Department of Medicine (DIMED), Endocrinology Unit, University-Hospital of Padua, Padova, Italy
| | - D Iacuaniello
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University of Naples Federico II, Naples, Italy
| | - M Zilio
- Department of Medicine (DIMED), Endocrinology Unit, University-Hospital of Padua, Padova, Italy
| | - V Guarnotta
- Section of Endocrinology, Diabetology and Metabolism, DIBIMIS, University of Palermo, Palermo, Italy
| | - A Alibrandi
- Department of Economics, University of Messina, Messina, Italy
| | - E Messina
- Unit of Endocrinology, University Hospital 'G. Martino', Messina, Italy
| | - M Boscaro
- Department of Medicine (DIMED), Endocrinology Unit, University-Hospital of Padua, Padova, Italy
| | - C Giordano
- Section of Endocrinology, Diabetology and Metabolism, DIBIMIS, University of Palermo, Palermo, Italy
| | - A Colao
- Department of Clinical Medicine and Surgery, Endocrinology Unit, University of Naples Federico II, Naples, Italy
| | - S Cannavo
- Department of Human Pathology of Adulthood and Childhood 'G. Barresi', University of Messina, Messina, Italy
- Unit of Endocrinology, University Hospital 'G. Martino', Messina, Italy
| |
Collapse
|
168
|
Abstract
This article is a comprehensive review of diabetic gastroparesis, defined as delayed or disordered gastric emptying, including basic principles and current trends in management. This review includes sections on anatomy and physiology, diagnosis and differential diagnosis as well as management and current guidelines for treatment of diabetic gastroparesis. Diabetic gastroparesis (DGp) is a component of autonomic neuropathy resulting from long-standing poorly controlled type 1 and type 2 diabetes. The diagnostic workup of DGp first excludes obstruction and other causes including medications that may mimic delayed/disordered gastric emptying. Targeting nutrition, hydration, symptomatic relief and glycemic control are mainstays of treatment for DGp. Additionally, optimal treatment of DGp includes good glycemic management, often involving customizing insulin delivery using basal-bolus insulin and technology, including sensor-augmented pumps and continuous glucose monitoring systems. Prokinetic medications may be helpful in DGp symptoms, although only limited number of medications is currently available in the USA. Selected medication-refractory patients with DGp may benefit from gastric neuromodulation, and some from surgical interventions including pyloric therapies that can also be done endoscopically. As is true of any of the diabetic complications, prevention of DGp by early and optimal glycemic control is more cost-effective.Funding: Hansa Medcell, India.
Collapse
Affiliation(s)
- Sathya Krishnasamy
- Division of Endocrinology, Metabolism, and Diabetes, University of Louisville, Louisville, KY, USA
| | - Thomas L Abell
- Division of Gastroenterology, Hepatology, and Nutrition, University of Louisville, Louisville, KY, USA.
| |
Collapse
|
169
|
Schmittdiel JA, Cunningham SA, Adams SR, Nielsen J, Ali MK. Influence of a New Diabetes Diagnosis on the Health Behaviors of the Patient's Partner. Ann Fam Med 2018; 16:290-295. [PMID: 29987075 PMCID: PMC6037527 DOI: 10.1370/afm.2259] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2017] [Revised: 02/23/2018] [Accepted: 03/21/2018] [Indexed: 11/09/2022] Open
Abstract
PURPOSE When a person is given a diagnosis of diabetes, the changes in his or her health behaviors may influence the behaviors of his or her partner. The diabetes diagnosis may affect household members' perceptions of their own health risks, which could trigger behavioral change. The purpose of this study was to assess whether partners of persons with newly diagnosed diabetes changed their health behaviors compared with partners of persons without diabetes. METHODS The study population consisted of Kaiser Permanente Northern California health plan members from 2007 to 2011. This cohort study assessed differences in change of 8 health behaviors. The study compared coresiding partners of persons with newly diagnosed diabetes before and after a diabetes diagnosis with a 5 to 1 matched sample of coresiding partners of persons without diabetes. RESULTS A total of 180,910 couples were included in the analysis. After adjusting for baseline characteristics, partners of persons with newly diagnosed diabetes had significantly higher rates of participation in weight management-related health education classes (risk ratio [RR] = 1.50; 95% CI, 1.39-1.63); smoking cessation medication use (RR = 1.25; 95% CI, 1.05-1.50); glucose screening (RR = 1.07; 95% CI, 1.05-1.08); clinically meaningful weight loss (RR = 1.06; 95% CI, 1.02-1.11); lipid screening (RR = 1.05; 95% CI, 1.04-1.07); influenza vaccination (RR = 1.03; 95% CI, 1.02-1.04); and blood pressure screening (RR = 1.02; 95% CI, 1.02-1.03) compared with partners of persons without diabetes. CONCLUSIONS There were small but significant differences in health-related behavioral changes among partners of persons with newly diagnosed diabetes compared with partners of persons without diabetes, even when no intervention occurred. This finding suggests a diabetes diagnosis within a family may be a teachable moment to improve health behaviors at the household level.
Collapse
Affiliation(s)
- Julie A Schmittdiel
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | | | - Sara R Adams
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Jannie Nielsen
- Hubert Department of Global Health, Emory University, Atlanta, Georgia.,Global Health Section, Department of Public Health, University of Copenhagen, Denmark
| | | |
Collapse
|
170
|
Ikeda Y, Kubo T, Oda E, Abe M, Tokita S. Incidence rate and patient characteristics of severe hypoglycemia in treated type 2 diabetes mellitus patients in Japan: Retrospective Diagnosis Procedure Combination database analysis. J Diabetes Investig 2018; 9:925-936. [PMID: 29171937 PMCID: PMC6031502 DOI: 10.1111/jdi.12778] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 10/13/2017] [Accepted: 11/13/2017] [Indexed: 12/11/2022] Open
Abstract
AIMS/INTRODUCTION To evaluate the incidence rate of and identify factors associated with severe hypoglycemic episodes in patients with treated type 2 diabetes mellitus. MATERIALS AND METHODS Using Diagnosis Procedure Combination hospital-based medical database, we carried out a retrospective cohort study to assess the incidence rate of severe hypoglycemia in treated type 2 diabetes mellitus patients. We evaluated the associations between severe hypoglycemia and age, sex, complications, and current use of insulin or sulfonylurea (SU) in a nested case-control study. RESULTS Of 166,806 eligible patients, 1,242 had episodes of severe hypoglycemia during the observational period. The incidence rate of the first hypoglycemic events was 3.70/1,000 patient years. Based on the nested case-control analysis, age was associated with hypoglycemic events with adjusted odds ratios (ORs) of 1.64 or 65-74-year-old patients and 3.79 for ≥75-year-old patients in comparison with 20-64-year-old patients. Comorbidities, such as cognitive impairment, cancer, macrovascular disease and diabetic complications (retinopathy, nephropathy and neuropathy), were associated with severe hypoglycemia, with adjusted ORs ranging from 1.25 to 3.80. Severe hypoglycemic events also increased in patients with current use of both SU and insulin, either SU or insulin, with adjusted ORs of 18.36, 6.31 or 14.07, respectively, compared with patients with other antihyperglycemic agents. In patients with an SU glimepiride, adjusted ORs increased dose-dependently from 3.65 (≤1 mg) to 13.34 (>2 mg). CONCLUSIONS The incidence rate of severe hypoglycemia in this cohort was 3.70/1,000 patient years. Age, cognitive impairment, cancer, diabetic complications, current use of insulin + SU and SU dosage were identified as risk factors for severe hypoglycemia.
Collapse
|
171
|
Agu KC. Diabetes mellitus: A review of some of the prognostic markers of response to treatment and management. JOURNAL OF INSULIN RESISTANCE 2018. [DOI: 10.4102/jir.v3i1.36] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
Background: The WHO defined ‘diabetes mellitus’ (DM) as a metabolic disorder characterised by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from the defect in insulin secretion, or inaction, or both. When not identified early and controlled, acute and chronic life-threatening consequences may result. Identifying DM early for treatment and management, as well as clinically monitoring recovery and improvement during treatment, involves the assessments of biomarkers. The types, choice, sensitivity and descriptive information trends of these biomarkers are very important. Aim: Some prognostic biomarkers and parameters that this review identified include glycated haemoglobin, white blood cells, mean neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, total leukocytes and neutrophils, plasma low-density lipoprotein, high-density lipoprotein and very low-density lipoprotein, platelet, fibrinogen, D-dimer and C-reactive proteins. Results: These parameters display increases in DM, while red blood cell, haemoglobin concentration, activated partial thromboplastin time, prothrombin time and partial thromboplastin time are decreased. Conclusion: With sound knowledge of the variations of these markers and parameters, observed reversal during treatment and management of DM and its complications can be better monitored, and guided decisions can be made.
Collapse
|
172
|
Omengue AM, Sobngwi E, Dehayem M, Balt EV, Boli AM, Choukem SP, Gautier JF, Mbanya JC. Effect of Body Lotions on Capillary Blood Glucose Measurement - Interference of Hydroquinone-Containing Body Lotion with Capillary Glucose Measurement. EUROPEAN ENDOCRINOLOGY 2018; 14:44-46. [PMID: 29922351 PMCID: PMC5954594 DOI: 10.17925/ee.2018.14.1.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 03/19/2018] [Indexed: 11/24/2022]
Abstract
The reliability of capillary blood glucose measurements is tremendously important for patients’ care and follow-up. Some factors independent of glucose control could however affect readings during ambulatory monitoring of capillary glucose levels in patients with diabetes mellitus. We sought to evaluate the impact of three body lotions commonly used in Cameroon on different strata of glycaemia. We explored their influence over time on measured capillary glucose values. We enrolled 16 participants. Eligible individuals were adult patients with diabetes (n=12) stratified into three levels of capillary glucose values (100 ± 40 mg/dL [5.55 ± 2.22 mmol/L], 200 ± 40 mg/dL [11.1 ± 2.22 mmol/L] and 300 ± 40 mg/dL [16.65 ± 2.22 mmol/L]) and normoglycaemic individuals (n=4). We measured capillary blood glucose before application, immediately after, then 5, 30 and 60 minutes after application of sweet almond oil, corticosteroid cream and hydroquinone lotion. The measurements made on impregnated body lotion-permeated fingers were compared to that of a clean finger. We observed a significant increase (delta [95% confidence interval, CI]: 119.5% [77.4–222.1]) of capillary glucose level immediately after administration of hydroquinone-containing body lotion (p<0.001). Capillary glucose values after the use of corticoid cream and sweet almond oil was stable 5, 30 and 60 minutes after application (p=0.875 and p=0.883 respectively). In the case of the hydroquinone-containing body lotion, there was a significant difference between capillary glucose level at 5 minutes (delta [95%CI]: 81.6% [55.3–214.2]; p<0.001), 30 minutes (delta [95%CI]: 71.6% [21.8–134.6]; p<0.001) and 60 minutes (delta [95%CI]: 58.3% [2.8–133.3]; p=0.013) after application compared to the value obtained from the clean finger. We observed from our study that there were significant variations in capillary blood glucose measurements induced by the use of hydroquinone lotion.
Collapse
Affiliation(s)
- Andrea Ma Omengue
- National Obesity Centre, Yaoundé Central Hospital, Yaoundé, Cameroon.,Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Eugène Sobngwi
- National Obesity Centre, Yaoundé Central Hospital, Yaoundé, Cameroon.,Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.,Laboratory of Molecular Medicine and Metabolism, Biotechnology Centre, University of Yaoundé 1, Yaoundé, Cameroon
| | - Mesmin Dehayem
- National Obesity Centre, Yaoundé Central Hospital, Yaoundé, Cameroon.,Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Eric V Balt
- Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium.,Diabetes Clinic, Department of Internal Medicine, Universitair Ziekenhuis Brussel - UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Anne Mo Boli
- National Obesity Centre, Yaoundé Central Hospital, Yaoundé, Cameroon.,Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Simeon P Choukem
- Faculty of Health Sciences, University of Buea, Cameroon.,Department of Internal Medicine, Douala General Hospital, Cameroon
| | - Jean F Gautier
- Department of Endocrinology and Diabetes, Lariboisière Hospital, University Paris-Diderot, Paris, France.,Inserm UMRS 1138, Cordeliers Research Centre, Paris, France
| | - Jean-Claude Mbanya
- National Obesity Centre, Yaoundé Central Hospital, Yaoundé, Cameroon.,Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.,Laboratory of Molecular Medicine and Metabolism, Biotechnology Centre, University of Yaoundé 1, Yaoundé, Cameroon
| |
Collapse
|
173
|
Characteristics of different risk factors and fasting plasma glucose for identifying GDM when using IADPSG criteria: a cross-sectional study. BMC Pregnancy Childbirth 2018; 18:225. [PMID: 29898685 PMCID: PMC6001029 DOI: 10.1186/s12884-018-1875-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 05/31/2018] [Indexed: 11/10/2022] Open
Abstract
Background The Swedish National Board of Health and Welfare (SNBHW) recommended the new diagnostic criteria for GDM based upon Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study thresholds. Due to limited knowledge base, no recommendations were made on GDM screening. The aim of this study is to evaluate test characteristics of risk factors and fasting blood glucose as screening tests for diagnosing GDM using diagnostic thresholds based upon HAPO study 1.75/2.0 (model I/II respectively) odds ratio for adverse pregnancy outcomes. Methods This cross-sectional, population-based study included all pregnant women who attended maternal health care in Örebro County, Sweden between the years 1994–96. A 75 g OGTT with capillary fasting and 2-h blood glucose was offered to all pregnant women at week 28–32. Risk factors and repeated random glucose samples were collected. Sensitivity, specificity and predictive values of blood glucose were calculated. Results Prevalence of GDM was 11.7% with model I and 7.2% with the model II criteria. Risk factors showed 28%, (95% CI 24–32) and 31%, (95% CI 25–37) sensitivity for model I and II respectively. A fasting cut off ≥4.8 mmol/l occurred in 24% of women with 91%, (95% CI 88–94) sensitivity and 85%, (95% CI 83–86) specificity using model I while a fasting cut off ≥5.0 mmol/l occurred in 14% with 91%, (95% CI 87–94) sensitivity and 92%, (95% CI 91–93) specificity using model II. Conclusion Risk factor screening for GDM was found to be poorly predictive of GDM but fasting glucose of 4.8–5.0 mmol/l showed good test characteristics irrespective of diagnostic model and results in a low rate of OGTTs.
Collapse
|
174
|
Aronow WS, Shamliyan TA. Blood pressure targets for hypertension in patients with type 2 diabetes. ANNALS OF TRANSLATIONAL MEDICINE 2018; 6:199. [PMID: 30023362 PMCID: PMC6035980 DOI: 10.21037/atm.2018.04.36] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 04/19/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Clinical guidelines vary in determining optimal blood pressure targets in adults with diabetes mellitus. METHODS We systematically searched PubMed, EMBASE, Cochrane Library, and clinicaltrials.gov in March 2018; conducted random effects frequentist meta-analyses of direct aggregate data; and appraised the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. RESULTS From eligible 14 meta-analyses and 95 publications of randomized controlled trials (RCT), only 6 RCTs directly compared lower versus higher blood pressure targets; remaining RCTs aimed at comparative effectiveness of hypotensive drugs. In adults with diabetes mellitus and elevated systolic blood pressure (SBP), direct evidence (2 RCTs) suggests that intensive target SBP <120-140 mmHg decreases the risk of diabetes-related mortality [relative risk (RR) =0.68; 95% confidence interval (CI), 0.50-0.92], fatal (RR =0.41; 95% CI, 0.20-0.84) or nonfatal stroke (RR =0.60; 95% CI, 0.43-0.83), prevalence of left ventricular hypertrophy and electrocardiogram (ECG) abnormalities, macroalbuminuria, and non-spine bone fractures, with no differences in all-cause or cardiovascular mortality or falls. In adults with diabetes mellitus and elevated diastolic blood pressure (DBP) ≥90 mmHg, direct evidence (2 RCTs) suggests that intensive DBP target ≤80 versus 80-90 mmHg decreases the risk of major cardiovascular events. Published meta-analyses of aggregate data suggested a significant association between lower baseline and attained blood pressure and increased cardiovascular mortality. CONCLUSIONS We concluded that in adults with diabetes mellitus and arterial hypertension, in order to reduce the risk of stroke, clinicians should target blood pressure at 120-130/80 mmHg, with close monitoring for all drug-related harms.
Collapse
Affiliation(s)
- Wilbert S. Aronow
- Department of Medicine, Westchester Medical Center, New York Medical College, Valhalla, NY, USA
| | - Tatyana A. Shamliyan
- Quality Assurance, Evidence-Based Medicine Center, Elsevier, Philadelphia, PA, USA
| |
Collapse
|
175
|
Abstract
This paper discussed the importance of prevention of diabetic foot ulcers and our institution's protocol for prevention, reviewing the existing evidence in the literature regarding the effectiveness of the preventive approach. Diabetes mellitus is the second most significant cause of disease in Singapore after ischaemic heart disease. National University Hospital, Singapore, adopts a two-pronged strategy for the management of diabetic foot ulcers. The most important strategy is prevention, and education is key. Education should mainly be directed at patients and caregivers, but also professionals (general practitioners, allied health professionals and nurses) so that they can effectively educate patients and caregivers. Patient education includes care of diabetes mellitus, care of the foot and use of appropriate footwear. Patients also tend to have poor foot hygiene. Annual foot screening for diagnosed diabetics plays an important role. However, prolonged and sustained government intervention is necessary to provide education and screening on a national scale.
Collapse
Affiliation(s)
- Aziz Nather
- Division of Foot and Ankle, University Orthopaedics, Hand and Reconstructive Microsurgery Cluster, National University Health System, Singapore
| | - Shuo Cao
- Division of Foot and Ankle, University Orthopaedics, Hand and Reconstructive Microsurgery Cluster, National University Health System, Singapore
| | - Jamie Li Wen Chen
- Division of Foot and Ankle, University Orthopaedics, Hand and Reconstructive Microsurgery Cluster, National University Health System, Singapore
| | - An Yee Low
- Division of Foot and Ankle, University Orthopaedics, Hand and Reconstructive Microsurgery Cluster, National University Health System, Singapore
| |
Collapse
|
176
|
Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018; 71:e13-e115. [PMID: 29133356 DOI: 10.1161/hyp.0000000000000065] [Citation(s) in RCA: 1746] [Impact Index Per Article: 249.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
177
|
Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018. [DOI: 10.1161/hyp.0000000000000065 10.1016/j.jacc.2017.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
|
178
|
Newman JD, Wilcox T, Smilowitz NR, Berger JS. Influence of Diabetes on Trends in Perioperative Cardiovascular Events. Diabetes Care 2018; 41:1268-1274. [PMID: 29618572 PMCID: PMC5961401 DOI: 10.2337/dc17-2046] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 03/10/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Patients undergoing noncardiac surgery frequently have diabetes mellitus (DM) and an elevated risk of cardiovascular disease. It is unknown whether temporal declines in the frequency of perioperative major adverse cardiovascular and cerebrovascular events (MACCEs) apply to patients with DM. RESEARCH DESIGN AND METHODS Patients ≥45 years of age who underwent noncardiac surgery from January 2004 to December 2013 were identified using the U.S. National Inpatient Sample. DM was identified using ICD-9 diagnosis codes. Perioperative MACCEs (in-hospital all-cause mortality, acute myocardial infarction, or acute ischemic stroke) by DM status were evaluated over time. RESULTS The final study sample consisted of 10,581,621 hospitalizations for major noncardiac surgery; DM was present in ∼23% of surgeries and increased over time (P for trend <0.001). Patients with DM experienced MACCEs in 3.3% of surgeries vs. 2.8% of surgeries for patients without DM (P < 0.001). From 2004 to 2013, the odds of perioperative MACCEs after multivariable adjustment increased by 6% (95% CI 2-9) for DM patients, compared with an 8% decrease (95% CI -10 to -6) for patients without DM (P for interaction <0.001). Trends for individual end points were all less favorable for patients with DM versus those without DM. CONCLUSIONS In an analysis of >10.5 million noncardiac surgeries from a large U.S. hospital admission database, perioperative MACCEs were more common among patients with DM versus those without DM. Perioperative MACCEs increased over time and individual end points were all less favorable for patients with DM. Our findings suggest that a substantial unmet need exists for strategies to reduce the risk of perioperative cardiovascular events among patients with DM.
Collapse
Affiliation(s)
- Jonathan D Newman
- Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY
| | - Tanya Wilcox
- Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY
| | - Nathaniel R Smilowitz
- Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY
| | - Jeffrey S Berger
- Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY
| |
Collapse
|
179
|
Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018; 71:1269-1324. [PMID: 29133354 DOI: 10.1161/hyp.0000000000000066] [Citation(s) in RCA: 2483] [Impact Index Per Article: 354.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
|
180
|
Abstract
Depuis quelques années fleurissent une multitude d’initiatives digitales médicales qui affichent de tangibles signaux d’efficacité. Elles placent souvent le patient au cœur de leur approche et s’affranchissent, tout au moins conceptuellement, des silos entre les grands acteurs de la santé (industrie pharmaceutique, autorités de santé, hôpital, payeurs).Il en découle une fragilité structurelle susceptible de constituer un terreau favorable à l’arrivée d’acteurs issus du monde numérique, des « pure players », capables de repenser et de transformer radicalement les modèles économiques en proposant des alternatives digitales de rupture centrées sur les besoins des patients.
Collapse
|
181
|
Terauchi Y, Yamada Y, Watada H, Nakatsuka Y, Shiosakai K, Washio T, Taguchi T. Efficacy and safety of the G protein-coupled receptor 119 agonist DS-8500a in Japanese type 2 diabetes mellitus patients with inadequate glycemic control on sitagliptin: A phase 2 randomized placebo-controlled study. J Diabetes Investig 2018; 9:1333-1341. [PMID: 29607623 PMCID: PMC6215943 DOI: 10.1111/jdi.12846] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 02/16/2018] [Accepted: 03/19/2018] [Indexed: 02/06/2023] Open
Abstract
Introduction We evaluated the efficacy and safety of DS‐8500a as add‐on therapy to sitagliptin in Japanese type 2 diabetes mellitus patients. Materials and Methods This multicenter, randomized, double‐blind, placebo‐controlled, phase 2 trial randomized patients aged ≥20 years with hemoglobin A1c ≥7.0% and <9.0%, and inadequate glycemic control with sitagliptin 50‐mg monotherapy to receive 25 or 75 mg DS‐8500a, or a placebo, orally. The primary end‐point was change from baseline to day 28 in 24‐h weighted mean glucose. Secondary end‐points included change from baseline in fasting plasma glucose, 2‐h postprandial plasma glucose and lipid profiles. Results Overall, 29, 28 and 27 patients in the placebo, 25‐ and 75‐mg groups, respectively, were analyzed. A significant dose‐dependent reduction was observed in 24‐h weighted mean glucose (linear: P = 0.0006, saturated at 25 mg: P = 0.0003, responded from 75 mg: P = 0.0176) when compared with the placebo (25 mg: −13.19 mg/dL [−0.73 mmol/L], P = 0.0044 vs placebo and 75 mg: −16.12 mg/dL [−0.89 mmol/L], P = 0.0006 vs placebo). A significant reduction in fasting plasma glucose at 75 mg vs placebo was observed (P < 0.001). At 25 and 75 mg, significant reductions of 2‐h postprandial plasma glucose (after breakfast), total cholesterol, low‐cholesterol and triglycerides were observed (all P < 0.05), with a (non‐significant) trend towards increased high‐density lipoprotein cholesterol. Both doses of DS‐8500a were well tolerated. There were no significant treatment‐emergent adverse events leading to discontinuation during the study. Conclusions DS‐8500a was well tolerated, and showed significant glycemic benefits and favorable changes in lipid profile in Japanese type 2 diabetes mellitus patients with inadequate glycemic control with sitagliptin therapy.
Collapse
Affiliation(s)
- Yasuo Terauchi
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
| | - Yuichiro Yamada
- Department of Endocrinology, Diabetes and Geriatric Medicine, Akita University Graduate School of Medicine, Akita, Japan
| | - Hirotaka Watada
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | | | | | - Takuo Washio
- Asia Development Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan
| | - Takashi Taguchi
- Clinical Development Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan
| |
Collapse
|
182
|
Araque KA, Kadayakkara DK, Gigauri N, Sheehan D, Majumdar S, Buller G, Flannery CA. Reducing severe hypoglycaemia in hospitalised patients with diabetes: Early outcomes of standardised reporting and management. BMJ Open Qual 2018; 7:e000120. [PMID: 29756070 PMCID: PMC5942454 DOI: 10.1136/bmjoq-2017-000120] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 03/28/2018] [Accepted: 03/29/2018] [Indexed: 01/08/2023] Open
Abstract
Background Severe hypoglycaemic events (HGEs) in hospitalised patients are associated with poor outcomes and prolonged hospitalization. Systematic, coordinated care is required for acute management and prevention of HGEs; however, studies evaluating quality control efforts are scarce. Objective To investigate the effectiveness of system-based interventions to improve management response to HGEs. Methods System-based interventions were designed and implemented following a root cause analysis of HGE in adult patients with diabetes from two general medical wards with the highest incidence of HGE. Interventions included electronic medical record programming for a standardised order set for basal-bolus insulin regimen and hypoglycemia protocol, automated dextrose order, automated MD notification, and recommendation for endocrine consultation after two critical HGEs. The Pyxis MedStation was programmed to alert nurses to recheck blood glucose 15 min after the treatment. A card with the HGE management protocol was attached to each provider’s ID badge and educational seminars were given to all providers. Main outcomes and measures Primary outcomes were to evaluate median time from HGE (glucose <50 mg/dL) to euglycemia (>100 mg/dL), and time from HGE to follow-up finger-stick (FS) testing preintervention and postintervention. Secondary outcomes were cumulative incidence of HGEs, recurrent hypoglycemia, rate of physician notification and use of standardised treatments among adults with diabetes on the two general medical wards. Results Among hospitalised adults with diabetes and HGE, median time from HGE to euglycemia declined from 225±46 min preintervention to 87±26 min postintervention (p=0.03). Median time from HGE to next FS testing also declined (76±14 min to 28±10 min, p<0.001). Standardised treatment administration for HGE improved significantly from 34% (12/35) to 97% (36/37); physician notification rate improved significantly from 51% (18/35) to 78% (29/37). Among hospitalised adults with diabetes, incidence of HGE decreased from 12% (35/295) over 3 months (preintervention period) to 6% (37/610) over 6 months (postintervention period) (p<0.001), while recurrent HGE did not show significant differences (37% (13/35) to 24% (9/37), p=0.09). Conclusions System-based interventions had a clinically important impact on decreasing time from HGE to euglycemia and to next FS testing. This hypoglycemia bundle of care may be applied and tested in other community hospitals to improve patient safety.
Collapse
Affiliation(s)
- Katherine A Araque
- Internal Medicine Department, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut, USA
| | - Deepak K Kadayakkara
- Internal Medicine Department, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut, USA
| | - Nino Gigauri
- Internal Medicine Department, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut, USA
| | - Diane Sheehan
- Endocrinology Department, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut, USA
| | - Sachin Majumdar
- Endocrinology Department, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut, USA
| | - Gregory Buller
- Internal Medicine Department, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut, USA
| | - Clare A Flannery
- Section of Endocrinology, Internal Medicine Department,, Yale School of Medicine, New Haven, Connecticut, USA
| |
Collapse
|
183
|
Shu H, Lu J, Zhang P, Zhu D, Li X, Ji J, Zhao F, Ji L. Clinical characteristics of type 2 diabetes patients with discordance between HbA 1c and fasting plasma glucose in the real world: An analysis of the ORBIT study. Diabetes Metab Res Rev 2018; 34:e2977. [PMID: 29314667 DOI: 10.1002/dmrr.2977] [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: 05/25/2017] [Revised: 11/27/2017] [Accepted: 12/12/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND We aimed to determine the clinical characteristics of type 2 diabetes patients on basal insulin therapy with inadequate glucose control due to discordance between glycated haemoglobin (HbA1c ) and fasting plasma glucose (FPG) in the real world. METHODS This was a retrospective analysis of data from the ORBIT study in China. Clinical characteristics of patients with discordance between HbA1c and FPG at baseline and at the end of 6 months of follow-up were analysed using multinomial logistic regression in 4 study groups divided by HbA1c and FPG. RESULTS Overall, of 6721 patients initiated on basal insulin, 853 achieved HbA1c < 7% but FPG ≥ 7 mmol/L (group 2), while 997 had FPG < 7 mmol/L but HbA1c ≥ 7% (group 3) at the end of follow-up. Patients in group 3 had a longer duration of type 2 diabetes compared with those in group 2 (7.22 ± 5.30 vs 6.00 ± 4.80 y, P < .05). Patients on glargine (32.90%) or detemir (36.88%) treatment accounted for a higher proportion of patients with both HbA1c and FPG controlled than those on neutral protamine Hagedorn therapy (23.45%; P < .05). Per the multinomial logistic analysis, higher frequency of self-monitoring of blood glucose (SMBG) and use of glargine or detemir therapy were significantly inversely associated with risk of discordance between HbA1c and FPG, while dose of insulin was a risk factor for discordance at the end of follow-up (all P < .05). CONCLUSIONS Patients treated with insulin analogues (glargine or detemir), instead of neutral protamine Hagedorn, and with more frequent SMBG are more likely to exhibit concordance between HbA1c and FPG.
Collapse
Affiliation(s)
- Hua Shu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| | - Juming Lu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Puhong Zhang
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Dongshan Zhu
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Xian Li
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Jiachao Ji
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Fang Zhao
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Beijing, China
| |
Collapse
|
184
|
Wang M, Wu Q, Xie H, Shao Y, Zhong M, Zhang X, Liu S, He X, Hu S, Zhang G. Effects of Sleeve Gastrectomy on Serum 12α-Hydroxylated Bile Acids in a Diabetic Rat Model. Obes Surg 2018; 27:2912-2918. [PMID: 28508276 DOI: 10.1007/s11695-017-2714-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Diabetes mellitus is a prevalent disease that endangers human health. Bariatric surgery can effectively relieve insulin resistance with elevated serum bile acids (BAs). 12α-Hydroxylated BAs were previously reported to be associated with insulin resistance. The aim of this study was to analyze changes in 12α-hydroxylated BA composition and possible associated mechanisms in diabetic rats following sleeve gastrectomy (SG). METHODS SG and sham operations were performed in diabetic rats induced by high-fat diet feeding and streptozotocin. Body weight, food intake, oral glucose tolerance test (OGTT), insulin tolerance test (ITT), and serum BAs were analyzed at corresponding time points. Cholesterol 12α-hydroxylase (CYP8B1) and transcription factor V-Maf Avian Musculoaponeurotic Fibrosarcoma Oncogene Homolog G (MAFG) expression levels were assessed by RT-PCR and western blotting. RESULTS Compared with the SHAM group, the SG group displayed significant weight loss from 6 weeks postoperatively, accompanied by decreased food intake from 4 weeks after the operation. At 2 and 12 weeks postoperatively, the areas under the curve of OGTT and ITT were significantly decreased in the SG group. At 12 weeks post-operation, the SG group displayed elevated serum BAs, but the percentage of 12α-hydroxylated BAs was reduced. Furthermore, SG rats exhibited higher MAFG and lower CYP8B1 protein and mRNA levels in the liver (P < 0.05). CONCLUSION The percentage of 12α-hydroxylated bile acids was reduced after SG, which was relevant with the inhibition of CYP8B1 and overexpression of MAFG. These outcomes may play an important role in the improvement of insulin sensitivity following SG.
Collapse
Affiliation(s)
- Minggang Wang
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, Capital Medical University, 100043, Beijing, People's Republic of China
| | - Qunzheng Wu
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Haibin Xie
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Yi Shao
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Mingwei Zhong
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Xiang Zhang
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Shaozhuang Liu
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Xiao He
- Department of Cardiology, Affiliated Hospital of Taishan Medical University, Taian, 271000, Shandong, People's Republic of China
| | - Sanyuan Hu
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China
| | - Guangyong Zhang
- Department of General Surgery, Qilu Hospital of Shandong University, 107#, Wenhua Xi Road, Jinan, 250012, Shandong, People's Republic of China.
| |
Collapse
|
185
|
Roberts TJ, Burns AT, MacIsaac RJ, MacIsaac AI, Prior DL, La Gerche A. Diagnosis and Significance of Pulmonary Microvascular Disease in Diabetes. Diabetes Care 2018; 41:854-861. [PMID: 29351959 DOI: 10.2337/dc17-1904] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 12/20/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine whether pulmonary microvascular disease is detectable in subjects with diabetes and associated with diminished exercise capacity using a novel echocardiographic marker quantifying the pulmonary transit of agitated contrast bubbles (PTAC). RESEARCH DESIGN AND METHODS Sixty participants (40 with diabetes and 20 control subjects) performed cardiopulmonary (maximal oxygen consumption [VO2peak]) and semisupine bicycle echocardiography exercise tests within a 1-week period. Pulmonary microvascular disease was assessed using PTAC (the number of bubbles traversing the pulmonary circulation to reach the left ventricle, categorized as low PTAC or high PTAC). Echocardiographic measures of cardiac output, pulmonary artery pressures, and biventricular function were obtained during exercise. RESULTS Subjects with diabetes and control subjects were of similar age (44 ± 13 vs. 43 ± 13 years, P = 0.87) and sex composition (70% vs. 65% male, P = 0.7). At peak exercise, low PTAC was present in more participants with diabetes than control subjects (41% vs. 12.5%, χ2P = 0.041) and, in particular, in more subjects with diabetes with microvascular complications compared with both those without complications and control subjects (55% vs. 26% vs. 13%, χ2P = 0.02). When compared with high PTAC, low PTAC was associated with a 24% lower VO2peak (P = 0.006), reduced right ventricular function (P = 0.015), and greater pulmonary artery pressures during exercise (P = 0.02). CONCLUSIONS PTAC is reduced in diabetes, particularly in the presence of microvascular pathology in other vascular beds, suggesting that it may be a meaningful indicator of pulmonary microvascular disease with important consequences for cardiovascular function and exercise capacity.
Collapse
Affiliation(s)
- Timothy J Roberts
- Department of Cardiology, St Vincent's Hospital Melbourne, Fitzroy, Australia.,St Vincent's Department of Medicine, University of Melbourne, Fitzroy, Australia
| | - Andrew T Burns
- Department of Cardiology, St Vincent's Hospital Melbourne, Fitzroy, Australia.,St Vincent's Department of Medicine, University of Melbourne, Fitzroy, Australia
| | - Richard J MacIsaac
- St Vincent's Department of Medicine, University of Melbourne, Fitzroy, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Australia
| | - Andrew I MacIsaac
- Department of Cardiology, St Vincent's Hospital Melbourne, Fitzroy, Australia.,St Vincent's Department of Medicine, University of Melbourne, Fitzroy, Australia
| | - David L Prior
- Department of Cardiology, St Vincent's Hospital Melbourne, Fitzroy, Australia.,St Vincent's Department of Medicine, University of Melbourne, Fitzroy, Australia
| | - André La Gerche
- Department of Cardiology, St Vincent's Hospital Melbourne, Fitzroy, Australia .,St Vincent's Department of Medicine, University of Melbourne, Fitzroy, Australia.,Department of Cardiovascular Medicine, University Hospitals Leuven, Leuven, Belgium.,Baker Heart and Diabetes Institute, Melbourne, Australia
| |
Collapse
|
186
|
Landon BE, Zaslavsky AM, Souza J, Ayanian JZ. Trends in Diabetes Treatment and Monitoring among Medicare Beneficiaries. J Gen Intern Med 2018; 33:471-480. [PMID: 29427177 PMCID: PMC5880782 DOI: 10.1007/s11606-018-4310-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 10/05/2017] [Accepted: 01/04/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Diabetes is a costly and common condition, but little is known about recent trends in diabetes management among Medicare beneficiaries. OBJECTIVE To evaluate the use of diabetes medications and testing supplies among Medicare beneficiaries. DESIGN/SETTING Retrospective cohort analysis of Medicare claims from 2007 to 2014. PARTICIPANTS Traditional Medicare beneficiaries with a diagnosis of diabetes in the current or any prior year. MAIN MEASURES We analyzed choices of first diabetes medication for those new to medication and patterns of adding medications. We also examined the use of testing supplies, use of statins and ACE inhibitors/angiotensin receptor blockers, and spending. KEY RESULTS Diagnosed diabetes increased from 28.7% to 30.2% of beneficiaries from 2007 to 2014. The use of metformin as the most commonly prescribed first medication increased from 50.2% in 2007 to 70.2% in 2014, whereas long-acting sulfonylureas decreased from 16.6% to 8.2%. The use of thiazolidinediones fell considerably, while the use of new diabetes medication classes increased. Among patients prescribed insulin, long-acting insulin as the first choice increased substantially, from 38.9% to 56.8%, but short-acting or combination regimens remained common, particularly among older or sicker beneficiaries. Prescriptions of testing supplies for more than once-daily testing were also common. The mean total cost of diabetes medications per patient increased over the period due to the increasing use of high-cost drugs, particularly by those patients with costs above the 90th percentile of spending, although the median costs decreased for both medications and testing supplies. CONCLUSIONS The use of metformin and long-acting insulin have increased substantially among elderly Medicare patients with diabetes, but a substantial subgroup continues to receive costly and complex treatment regimens.
Collapse
Affiliation(s)
- Bruce E Landon
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA.
- Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
| | - Alan M Zaslavsky
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Jeffrey Souza
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - John Z Ayanian
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
- Division of General Medicine, Medical School, University of Michigan, Ann Arbor, MI, USA
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Gerald R. Ford School of Public Policy, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
187
|
Huang X, Li S, Yang M, Fu X, Li H, Yan T, Liu Y, Chen L, Lan L, Li L, Zhong X. The effects of short-term continuous subcutaneous insulin infusion treatment on fasting glucagon-like peptide-1 concentrations in newly diagnosed type 2 diabetes. Diabetes Res Clin Pract 2018; 138:246-252. [PMID: 29408704 DOI: 10.1016/j.diabres.2018.01.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Revised: 01/13/2018] [Accepted: 01/30/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Early short-term intensive insulin therapy in newly diagnosed type 2 diabetes patients shows benefit in glycemic control and β-cell function. Glucagon-like peptide-1 (GLP-1) plays an important role in glucose metabolism and development of type 2 diabetes. We did a study to observe the changes of GLP-1 and β-cell function after short-term continuous subcutaneous insulin infusion (CSII) treatment. METHODS A total of 66 subjects were enrolled, including 30 normal glucose tolerance controls (NGT) and 36 patients with newly diagnosed type 2 diabetes between October 2015 and July 2016. Fasting plasma glucose (FPG), insulin, and GLP-1 were measured in each subject. The patients underwent CSII treatment for 2 weeks, and then FBG, insulin, and GLP-1 were measured. HOMA-IR and HOMA-B were then calculated. RESULTS All patients achieved target glycemic control in two weeks. HOMA-IR and HOMA-B improved significantly after intensive interventions (p < 0.05). The GLP-1 concentration increased significantly in patients after treatment (p < 0.05). When grouped according to bodyweight and age in all patients, the HOMA-IR changed significantly in overweight and old age subgroups, the HOMA-B increased significantly in normal weight, overweight and middle age subgroups, and the GLP-1 concentration also increased significantly in overweight and middle age subgroups respectively (p < 0.05). CONCLUSION Short-term CSII treatment can obtain glycemic control target and recover β-cell function and GLP-1 secretion in newly diagnosed type 2 diabetes patients. The overweight and middle-aged patients may get more benefit from this treatment.
Collapse
Affiliation(s)
- Xiaofei Huang
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Sha Li
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Mei Yang
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Xuquan Fu
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Huaqi Li
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Tong Yan
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Yidong Liu
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Lihong Chen
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Lingsheng Lan
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Libo Li
- Department of Hematology, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China
| | - Xiaowei Zhong
- Department of Endocrinology and Metabolism, The Third People's Hospital of Chengdu, The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu 610031, China.
| |
Collapse
|
188
|
Leonard CE, Brensinger CM, Aquilante CL, Bilker WB, Boudreau DM, Deo R, Flory JH, Gagne JJ, Mangaali MJ, Hennessy S. Comparative Safety of Sulfonylureas and the Risk of Sudden Cardiac Arrest and Ventricular Arrhythmia. Diabetes Care 2018; 41:713-722. [PMID: 29437823 PMCID: PMC5860838 DOI: 10.2337/dc17-0294] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 11/18/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To examine the association between individual antidiabetic sulfonylureas and outpatient-originating sudden cardiac arrest and ventricular arrhythmia (SCA/VA). RESEARCH DESIGN AND METHODS We conducted a retrospective cohort study using 1999-2010 U.S. Medicaid claims from five large states. Exposures were determined by incident use of glyburide, glimepiride, or glipizide. Glipizide served as the reference exposure, as its effects are believed to be highly pancreas specific. Outcomes were ascertained by a validated ICD-9-based algorithm indicative of SCA/VA (positive predictive value ∼85%). Potential confounding was addressed by adjustment for multinomial high-dimensional propensity scores included as continuous variables in a Cox proportional hazards model. RESULTS Of sulfonylurea users under study (N = 519,272), 60.3% were female and 34.9% non-Hispanic Caucasian, and the median age was 58.0 years. In 176,889 person-years of sulfonylurea exposure, we identified 632 SCA/VA events (50.5% were immediately fatal) for a crude incidence rate of 3.6 per 1,000 person-years. Compared with glipizide, propensity score-adjusted hazard ratios for SCA/VA were 0.82 (95% CI 0.69-0.98) for glyburide and 1.10 (0.89-1.36) for glimepiride. Numerous secondary analyses showed a very similar effect estimate for glyburide; yet, not all CIs excluded the null. CONCLUSIONS Glyburide may be associated with a lower risk of SCA/VA than glipizide, consistent with a very small clinical trial suggesting that glyburide may reduce ventricular tachycardia and isolated ventricular premature complexes. This potential benefit must be contextualized by considering putative effects of different sulfonylureas on other cardiovascular end points, cerebrovascular end points, all-cause death, and hypoglycemia.
Collapse
Affiliation(s)
- Charles E Leonard
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Colleen M Brensinger
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, Anschutz Medical Campus, University of Colorado, Aurora, CO
| | - Warren B Bilker
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Neuropsychiatry Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Denise M Boudreau
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA
| | - Rajat Deo
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Division of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - James H Flory
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Division of Comparative Effectiveness, Department of Healthcare Policy and Research, Weill Cornell Medical Center, Cornell University, New York, NY
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Joshua J Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Margaret J Mangaali
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sean Hennessy
- Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| |
Collapse
|
189
|
Exercise capacity in diabetes mellitus is predicted by activity status and cardiac size rather than cardiac function: a case control study. Cardiovasc Diabetol 2018; 17:44. [PMID: 29571290 PMCID: PMC5866526 DOI: 10.1186/s12933-018-0688-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 03/17/2018] [Indexed: 12/22/2022] Open
Abstract
Background The reasons for reduced exercise capacity in diabetes mellitus (DM) remains incompletely understood, although diastolic dysfunction and diabetic cardiomyopathy are often favored explanations. However, there is a paucity of literature detailing cardiac function and reserve during incremental exercise to evaluate its significance and contribution. We sought to determine associations between comprehensive measures of cardiac function during exercise and maximal oxygen consumption (\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\dot{V}O_{2}$$\end{document}V˙O2peak), with the hypothesis that the reduction in exercise capacity and cardiac function would be associated with co-morbidities and sedentary behavior rather than diabetes itself. Methods This case–control study involved 60 subjects [20 with type 1 DM (T1DM), 20 T2DM, and 10 healthy controls age/sex-matched to each diabetes subtype] performing cardiopulmonary exercise testing and bicycle ergometer echocardiography studies. Measures of biventricular function were assessed during incremental exercise to maximal intensity. Results T2DM subjects were middle-aged (52 ± 11 years) with a mean T2DM diagnosis of 12 ± 7 years and modest glycemic control (HbA1c 57 ± 12 mmol/mol). T1DM participants were younger (35 ± 8 years), with a 19 ± 10 year history of T1DM and suboptimal glycemic control (HbA1c 65 ± 16 mmol/mol). Participants with T2DM were heavier than their controls (body mass index 29.3 ± 3.4 kg/m2 vs. 24.7 ± 2.9, P = 0.001), performed less exercise (10 ± 12 vs. 28 ± 30 MET hours/week, P = 0.031) and had lower exercise capacity (\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\dot{V}O_{2}$$\end{document}V˙O2peak = 26 ± 6 vs. 38 ± 8 ml/min/kg, P < 0.0001). These differences were not associated with biventricular systolic or left ventricular (LV) diastolic dysfunction at rest or during exercise. There was no difference in weight, exercise participation or \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\dot{V}O_{2}$$\end{document}V˙O2peak in T1DM subjects as compared to their controls. After accounting for age, sex and body surface area in a multivariate analysis, significant positive predictors of \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\dot{V}O_{2}$$\end{document}V˙O2peak were cardiac size (LV end-diastolic volume, LVEDV) and estimated MET-hours, while T2DM was a negative predictor. These combined factors accounted for 80% of the variance in \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\dot{V}O_{2}$$\end{document}V˙O2peak (P < 0.0001). Conclusions Exercise capacity is reduced in T2DM subjects relative to matched controls, whereas exercise capacity is preserved in T1DM. There was no evidence of sub-clinical cardiac dysfunction but, rather, there was an association between impaired exercise capacity, small LV volumes and sedentary behavior.
Collapse
|
190
|
Nam HK, Cho WK, Kim JH, Rhie YJ, Chung S, Lee KH, Suh BK. HbA1c Cutoff for Prediabetes and Diabetes Based on Oral Glucose Tolerance Test in Obese Children and Adolescents. J Korean Med Sci 2018; 33:e93. [PMID: 29542302 PMCID: PMC5852422 DOI: 10.3346/jkms.2018.33.e93] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Accepted: 12/12/2017] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Oral glucose tolerance test (OGTT) is a traditional diagnostic tool for diabetes. Hemoglobin A1c (HbA1c) is an alternative method used in adults; however, its application in youths has been controversial. We evaluated the diagnostic performance of HbA1c and determined optimal cutoff points for detecting prediabetes and diabetes in youth. METHODS This retrospective study included 389 obese children (217 boys, 55.8%) who had undergone simultaneous OGTT and HbA1c testing at six hospitals, Korea, between 2010 and 2016. Subjects were diagnosed with diabetes (fasting glucose ≥ 7.0 mmol/L; 2-hour glucose ≥ 11.1 mmol/L) or prediabetes (fasting glucose 5.6-6.9 mmol/L; 2-hour glucose 7.8-11.0 mmol/L). The diagnostic performance of HbA1c for prediabetes and diabetes was determined using the area under the receiver operating characteristic curve (AUC). RESULTS At diagnosis, 197 (50.6%) subjects had normoglycemia, 121 (31.1%) had prediabetes, and 71 (18.3%) had diabetes. The kappa coefficient for agreement between OGTT and HbA1c was 0.464. The optimal HbA1c cutoff points were 5.8% (AUC, 0.795; a sensitivity of 64.1% and a specificity of 83.8%) for prediabetes and 6.2% (AUC, 0.972; a sensitivity of 91.5% and a specificity of 93.7%) for diabetes. When HbA1c (≥ 6.2%) and 2-hour glucose level were used to diagnose diabetes, 100% were detected. CONCLUSION Pediatric criteria for HbA1c remain unclear, therefore, we recommend the combination of fasting and 2-hour glucose levels, in addition to HbA1c, in the diagnosis of childhood prediabetes and diabetes.
Collapse
Affiliation(s)
- Hyo Kyoung Nam
- Department of Pediatrics, Korea University Guro Hospital, College of Medicine, Korea University, Seoul, Korea
| | - Won Kyoung Cho
- Department of Pediatrics, The Catholic University of Korea Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Jae Hyun Kim
- Department of Pediatrics, Inje University Ilsan Paik Hospital, Goyang, Korea.
| | - Young Jun Rhie
- Department of Pediatrics, Korea University Ansan Hospital, College of Medicine, Korea University, Ansan, Korea
| | - Sochung Chung
- Department of Pediatrics, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kee Hyoung Lee
- Department of Pediatrics, Korea University Anam Hospital, College of Medicine, Korea University, Seoul, Korea
| | - Byung Kyu Suh
- Department of Pediatrics, The Catholic University of Korea Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
| |
Collapse
|
191
|
Mercado CI, Gregg E, Gillespie C, Loustalot F. Trends in lipid profiles and descriptive characteristics of U.S. adults with and without diabetes and cholesterol-lowering medication use-National Health and Nutrition Examination Survey, 2003-2012, United States. PLoS One 2018; 13:e0193756. [PMID: 29509776 PMCID: PMC5839584 DOI: 10.1371/journal.pone.0193756] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 02/17/2018] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND With a cholesterol-lowering focus for diabetic adults and in the age of polypharmacy, it is important to understand how lipid profile levels differ among those with and without diabetes. OBJECTIVE Investigate the means, differences, and trends in lipid profile measures [TC, total cholesterol; LDL-c, low-density lipoprotein; HDL-c, high-density lipoprotein; and TG, triglycerides] among US adults by diabetes status and cholesterol-lowering medication. METHODS Population number and proportion of adults aged ≥21 years with diabetes and taking cholesterol-lowering medication were estimated using data on 10,384 participants from NHANES 2003-2012. Age-standardized means, trends, and differences in lipid profile measures were estimated by diabetes status and cholesterol medication use. For trends and differences, linear regression analysis were used adjusted for age, gender, and race/ethnicity. RESULTS Among diabetic adults, 52% were taking cholesterol-lowering medication compared to the 14% taking cholesterol-lowering medication without diabetes. Although diabetic adults had significantly lower TC and LDL-c levels than non-diabetic adults [% difference (95% confidence interval): TC = -5.2% (-6.8 --3.5), LDL-c = -8.0% (-10.4 --5.5)], the percent difference was greater among adults taking cholesterol medication [TC = -8.0% (-10.3 --5.7); LDL-c = -13.7% (-17.1 --10.2)] than adults not taking cholesterol medication [TC = -3.5% (-5.2 --1.6); LDL-c = -4.3% (-7.1 --1.5)] (interaction p-value: TC = <0.001; LDL-c = <0.001). From 2003-2012, mean TC and HDL-c significantly decreased among diabetic adults taking cholesterol medication [% difference per survey cycle (p-value for linear trend): TC = -2.3% (0.003) and HDL-c = -2.3% (0.033)]. Mean TC, HDL-c, and LDL-c levels did not significantly change from 2003 to 2012 in non-diabetic adults taking cholesterol medication or for adults not taking cholesterol medications. CONCLUSIONS Diabetic adults were more likely to have lower lipid levels, except for triglyceride levels, than non-diabetic adults with profound differences when considering cholesterol medication use, possibly due to the positive effects from clinical diabetes management.
Collapse
Affiliation(s)
- Carla I Mercado
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Edward Gregg
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Cathleen Gillespie
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Fleetwood Loustalot
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| |
Collapse
|
192
|
Hirsch AG, Durden TE, Nordberg C, Berger A, Schwartz BS. Associations of Four Community Factors With Longitudinal Change in Hemoglobin A 1c Levels in Patients With Type 2 Diabetes. Diabetes Care 2018; 41:461-468. [PMID: 29258994 PMCID: PMC5864143 DOI: 10.2337/dc17-1200] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 11/20/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate associations of community factors with glycated hemoglobin (HbA1c). RESEARCH DESIGN AND METHODS We identified patients with type 2 diabetes who had an HbA1c ≥7.5% (58 mmol/mol) and subsequent HbA1c testing within 90-270 days. We used mixed-effect models to assess whether treatment intensification (TI) and community domains (community socioeconomic deprivation [CSD], food availability, fitness assets, and utilitarian physical activity favorability [quartiled]) were associated with HbA1c change over 6 and 24 months, controlling for demographics, HbA1c, BMI, and time with evidence of type 2 diabetes. We evaluated whether community domains modified associations of TI with HbA1c change using cross product terms. RESULTS There were 15,308 patients with 69,818 elevated HbA1c measures. The average reduction in HbA1c over 6 months was 0.07% less in townships with a high level of CSD (third quartile versus the first). Reductions were 0.10% greater for HbA1c in townships with the best food availability (versus worst). HbA1c reductions were 0.17-0.19% greater in census tracts in the second and third quartiles of utilitarian physical activity favorability versus the first. The association of TI with 6-month HbA1c change was weaker in townships and boroughs with the worst CSD (versus best) and in boroughs with the best fitness assets (versus worst). The association of TI with 24-month HbA1c change was weaker in census tracts with the worst CSD (versus third quartile) and strongest in census tracts most favorable for utilitarian physical activity (versus worst). CONCLUSIONS Community domains were associated with HbA1c change and blunted TI effectiveness.
Collapse
Affiliation(s)
- Annemarie G Hirsch
- Department of Epidemiology and Health Services Research, Geisinger Health System, Danville, PA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - T Elizabeth Durden
- Department of Sociology and Anthropology, Bucknell University, Lewisburg, PA
| | - Cara Nordberg
- Department of Biomedical and Translational Informatics, Geisinger Health System, Danville, PA
| | - Andrea Berger
- Department of Biomedical and Translational Informatics, Geisinger Health System, Danville, PA
| | - Brian S Schwartz
- Department of Epidemiology and Health Services Research, Geisinger Health System, Danville, PA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| |
Collapse
|
193
|
Wernecke J. [Therapeutic goals for elderly people with diabetes]. MMW Fortschr Med 2018; 160:41-45. [PMID: 29556998 DOI: 10.1007/s15006-018-0289-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
- Jürgen Wernecke
- Agaplesion Diakonieklinikum Hamburg gGmbH, Hohe Weide 17, D-20259, Hamburg, Deutschland.
| |
Collapse
|
194
|
Jung JY, Oh CM, Ryoo JH, Choi JM, Choi YJ, Ham WT, Park SK. The influence of prehypertension, hypertension, and glycated hemoglobin on the development of type 2 diabetes mellitus in prediabetes: the Korean Genome and Epidemiology Study (KoGES). Endocrine 2018; 59:593-601. [PMID: 29380232 DOI: 10.1007/s12020-018-1530-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 01/10/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND It has been reported that elevated blood pressure (BP) was significantly associated with the increased risk for type 2 diabetes mellitus (T2DM). However, there is still limited information about the influence of BP on the risk for T2DM across the level of glycated hemoglobin (HbA1c). METHOD In a cohort of the Korean Genome and Epidemiology Study (KoGES), 2830 non-diabetic Korean adults with prediabetes defined by HbA1c level of 5.7-6.4% were followed-up for 10 years. Multivariate cox proportional hazards assumption was used to assess the risk for T2DM according to the baseline BP categories (normal, prehypertension and hypertension) and HbA1c level (low: 5.7-5.9% and high: 6.0-6.4%). RESULTS The risk for T2DM significantly increased proportionally to BP categories (adjusted HR; reference in normal BP, 1.32 [1.10-1.59] in prehypertension and 1.61 [1.35-1.92] in hypertension). Subgroup analysis indicated that individuals with high HbA1c had the higher risk for T2DM than individuals with low HbA1c regardless of BP. Additionally, combined presence of hypertension and high HbA1c had the highest risk for T2DM (adjusted HR: 3.82 [3.00-4.87]). In each systolic and diastolic BP level, the risk for T2DM significantly increased from systolic BP ≥ 130 mmHg (adjusted HRs: 1.39 ([1.15-1.71]) and diastolic BP ≥ 80 mmHg (adjusted HRs: 1.30 ([1.07-1.58]). CONCLUSION BP and HbA1c may be useful tools in identifying individuals with prediabetes more potentially predisposed to T2DM. Prospective studies should be considered to examine whether controlling BP actually lowers the risk for T2DM.
Collapse
Affiliation(s)
- Ju Young Jung
- Total healthcare center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Chang-Mo Oh
- Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Jae-Hong Ryoo
- Departments of Occupational and Environmental Medicine, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Joong-Myung Choi
- Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Young-Jun Choi
- Department of Dermatology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Woo Taek Ham
- Department of Social Physical Education, Sangji Youngseo College, Wonju, Republic of Korea
| | - Sung Keun Park
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
195
|
Ahmed MI, Fox R, Shinkins B, Sutton S, Tziaferi V, Gaillard EA. Continuous glucose monitoring systems for the diagnosis of cystic fibrosis-related diabetes. Hippokratia 2018. [DOI: 10.1002/14651858.cd012953] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Molla Imaduddin Ahmed
- University Hospitals of Leicester; Department of Paediatrics, Leicester Royal Infirmary; Infirmary Square Leicester UK LE1 5WW
- University of Leicester; Department of Infection, Immunity and Inflammation; Maurice Shock Medical Sciences Building University Road Leicester UK LE1 9HN
| | - Rachel Fox
- Leicester Royal Infirmary; Leicester Nutrition and Dietetic Service; Infirmary Square Leicester UK LE1 5WW
| | - Bethany Shinkins
- University of Leeds; Academic Unit of Health Economics; 101 Clarendon Road Leeds UK LS29LJ
| | - Sarah Sutton
- University Hospitals of Leicester NHS Trust; Clinical Librarian Service; Infirmary Square Leicester Leicestershire UK LE1 5WW
| | - Vaitsa Tziaferi
- Leicester Royal Infirmary; Department of Women's and Children's Health; Infirmary Square Leicester UK LE1 5WW
| | - Erol A Gaillard
- University Hospitals of Leicester; Department of Paediatrics, Leicester Royal Infirmary; Infirmary Square Leicester UK LE1 5WW
- University of Leicester; Department of Infection, Immunity and Inflammation; Maurice Shock Medical Sciences Building University Road Leicester UK LE1 9HN
| |
Collapse
|
196
|
Cho NH, Kim NK, Han E, Hong JH, Jeon EJ, Moon JS, Seo MH, Lee JE, Seo HA, Kim MK, Kim HS. Patient Understanding of Hypoglycemia in Tertiary Referral Centers. Diabetes Metab J 2018; 42:43-52. [PMID: 29504305 PMCID: PMC5842300 DOI: 10.4093/dmj.2018.42.1.43] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 11/08/2017] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Hypoglycemia is an important complication in the treatment of patients with diabetes. We surveyed the insight by patients with diabetes into hypoglycemia, their hypoglycemia avoidance behavior, and their level of worry regarding hypoglycemia. METHODS A survey of patients with diabetes, who had visited seven tertiary referral centers in Daegu or Gyeongsangbuk-do, Korea, between June 2014 and June 2015, was conducted. The survey contained questions about personal history, symptoms, educational experience, self-management, and attitudes about hypoglycemia. RESULTS Of 758 participants, 471 (62.1%) had experienced hypoglycemia, and 250 (32.9%) had experienced hypoglycemia at least once in the month immediately preceding the study. Two hundred and forty-two (31.8%) of the participants had received hypoglycemia education at least once, but only 148 (19.4%) knew the exact definition of hypoglycemia. Hypoglycemic symptoms identified by the participants were dizziness (55.0%), sweating (53.8%), and tremor (40.8%). They mostly chose candy (62.1%), chocolate (37.7%), or juice (36.8%) as food for recovering hypoglycemia. Participants who had experienced hypoglycemia had longer duration of diabetes and a higher proportion of insulin usage. The mean scores for hypoglycemia avoidance behavior and worry about hypoglycemia were 21.2±10.71 and 23.38±13.19, respectively. These scores tended to be higher for participants with higher than 8% of glycosylated hemoglobin, insulin use, and experience of emergency room visits. CONCLUSION Many patients had experienced hypoglycemia and worried about it. We recommend identifying patients that are anxious about hypoglycemia and educating them about what to do when they develop hypoglycemic symptoms, especially those who have a high risk of hypoglycemia.
Collapse
Affiliation(s)
- Nan Hee Cho
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Nam Kyung Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Jun Hwa Hong
- Department of Internal Medicine, Eulji University Hospital, Eulji University School of Medicine, Daejeon, Korea
| | - Eon Ju Jeon
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Mi Hae Seo
- Department of Internal Medicine, Soonchunhyang University Gumi Hospital, Soonchunhyang University College of Medicine, Gumi, Korea
| | - Ji Eun Lee
- Department of Internal Medicine, CHA Gumi Medical Center, CHA University, Gumi, Korea
| | - Hyun Ae Seo
- Department of Internal Medicine, Daegu Fatima Hospital, Daegu, Korea
| | - Mi Kyung Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Hye Soon Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
| |
Collapse
|
197
|
Or KY, Yip BHK, Lau CH, Chen HH, Chan YW, Lee KP. Peer Education Group Intervention to Reduce Psychological Insulin Resistance: A Pilot Mixed-Method Study in a Chinese Population. Diabetes Ther 2018; 9:113-124. [PMID: 29218568 PMCID: PMC5801233 DOI: 10.1007/s13300-017-0347-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Indexed: 12/01/2022] Open
Abstract
INTRODUCTION Psychological insulin resistance (PIR) is common among type II diabetes (DM) patients. Although interventions to reduce PIR have been suggested, there is no standardized intervention to reduce PIR. This trial aimed to assess the preliminary effectiveness of a well-structured interventional patient group (for sample size calculation for larger trials), as well as the acceptability and feasibility of this intervention group. METHODS This study used a quasi-experimental, mixed-method approach. Fifty-three patients with DM were recruited to an interventional group that included a general education of DM and insulin, an insulin pen demonstration, and an insulin-using peer sharing session. Each group consisted of around 15 participants and lasted for 2 h each. The validated Chinese version of the insulin treatment appraisal scale (C-ITAS) was administered before, immediately after, and 1 month after the intervention to measure any changes in the participants' PIR. Patients were interviewed to assess the acceptability of the intervention until data saturation. RESULTS Repeated measures ANOVA showed that the post-intervention C-ITAS scores (immediately post group and at 1 month) were lower than the pre-intervention C-ITAS scores (p < 0.001). Changes in multiple attitudes toward insulin were detected before and after the group intervention. Ten patient interviews were conducted and found that the intervention was welcomed by all interviewees; no discomfort or adverse reactions were reported. CONCLUSION Preliminary results showed that patient intervention groups with general education, insulin pen demonstration, and peer sharing appeared to be safe, acceptable, and effective in reducing PIR. Larger multicenter trials are needed to generalize these findings.
Collapse
Affiliation(s)
- Ka Yan Or
- Department of Family Medicine, Kowloon Central Cluster, Hospital Authority, East Kowloon General Outpatient Clinic, Hong Kong, China
| | - Benjamin Hoi-Kei Yip
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Chi Hang Lau
- Department of Family Medicine, Kowloon Central Cluster, Hospital Authority, East Kowloon General Outpatient Clinic, Hong Kong, China
| | - Hing Han Chen
- Department of Family Medicine, Kowloon Central Cluster, Hospital Authority, East Kowloon General Outpatient Clinic, Hong Kong, China
| | - Yuk Wah Chan
- Department of Family Medicine, Kowloon Central Cluster, Hospital Authority, East Kowloon General Outpatient Clinic, Hong Kong, China
| | - Kam Pui Lee
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
| |
Collapse
|
198
|
Abd El Aziz R, Fawzy MW, Khalil N, Abdel Atty S, Sabra Z. Vascular affection in relation to oxidative DNA damage in metabolic syndrome. Ther Adv Endocrinol Metab 2018; 9:43-51. [PMID: 29387333 PMCID: PMC5784468 DOI: 10.1177/2042018817750823] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2017] [Accepted: 11/28/2017] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Obesity has become an important issue affecting both males and females. Obesity is now regarded as an independent risk factor for atherosclerosis-related diseases. Metabolic syndrome is associated with increased risk for development of cardiovascular disease. Urinary 8-oxo-7,8-dihydro-2'-deoxyguanosine concentration has been used to express oxidation status. METHODS Twenty-seven obese patients with metabolic syndrome, 25 obese patients without metabolic syndrome and 31 healthy subjects were included in our study. They were subjected to full history and clinical examination; fasting blood sugar (FBS), 2 hour post prandial blood sugar (2HPP), lipid profile, urinary 8-oxo-7,8-dihydro-2'-deoxyguanosine and carotid duplex, A/B index and tibial diameters were all assessed. RESULTS There was a statistically significant difference (p = 0.027) in diameter of the right anterior tibial artery among the studied groups, with decreased diameter of the right anterior tibial artery in obese patients with metabolic syndrome compared to those without metabolic syndrome; the ankle brachial index revealed a lower index in obese patients with metabolic syndrome compared to those without metabolic syndrome. There was a statistically insignificant difference (p = 0.668) in the 8-oxodG in the studied groups. In obese patients with metabolic syndrome there was a positive correlation between 8-oxodG and total cholesterol and LDL. CONCLUSION Urinary 8-oxodG is correlated to total cholesterol and LDL in obese patients with metabolic syndrome; signifying its role in the mechanism of dyslipidemia in those patients. Our study highlights the importance of anterior tibial artery diameter measurement and ankle brachial index as an early marker of atherosclerosis, and how it may be an earlier marker than carotid intima-media thickness.
Collapse
|
199
|
Haneda M, Noda M, Origasa H, Noto H, Yabe D, Fujita Y, Goto A, Kondo T, Araki E. Japanese Clinical Practice Guideline for Diabetes 2016. Diabetol Int 2018; 9:1-45. [PMID: 30603347 PMCID: PMC6224875 DOI: 10.1007/s13340-018-0345-3] [Citation(s) in RCA: 141] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Indexed: 01/09/2023]
Affiliation(s)
| | | | | | | | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | | | - Atsushi Goto
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Tatsuya Kondo
- Department of Metabolic Medicine, Kumamoto University, Kumamoto, Japan
| | - Eiichi Araki
- Department of Metabolic Medicine, Kumamoto University, Kumamoto, Japan
| |
Collapse
|
200
|
Roberts S, Craig D, Adler A, McPherson K, Greenhalgh T. Economic evaluation of type 2 diabetes prevention programmes: Markov model of low- and high-intensity lifestyle programmes and metformin in participants with different categories of intermediate hyperglycaemia. BMC Med 2018; 16:16. [PMID: 29378576 PMCID: PMC5798197 DOI: 10.1186/s12916-017-0984-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 12/04/2017] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND National guidance on preventing type 2 diabetes mellitus (T2DM) in the UK recommends low-intensity lifestyle interventions for individuals with intermediate categories of hyperglycaemia defined in terms of impaired fasting glucose (IFG) or 'at-risk' levels of HbA1c. In a recent systematic review of economic evaluations of such interventions, most studies had evaluated intensive trial-based lifestyle programmes in participants with impaired glucose tolerance (IGT). This study examines the costs and effects of different intensity lifestyle programmes and metformin in participants with different categories of intermediate hyperglycaemia. METHODS We developed a decision tree and Markov model (50-year horizon) to compare four approaches, namely (1) a low-intensity lifestyle programme based on current NICE guidance, (2) a high-intensity lifestyle programme based on the US Diabetes Prevention Program, (3) metformin, and (4) no intervention, modelled for three different types of intermediate hyperglycaemia (IFG, IGT and HbA1c). A health system perspective was adopted and incremental analysis undertaken at an individual and population-wide level, taking England as a case study. RESULTS Low-intensity lifestyle programmes were the most cost-effective (£44/QALY, £195/QALY and £186/QALY compared to no intervention in IGT, IFG and HbA1c, respectively). Intensive lifestyle interventions were also cost-effective compared to no intervention (£2775/QALY, £6820/QALY and £7376/QALY, respectively, in IGT, IFG and HbA1c). Metformin was cost-effective relative to no intervention (£5224/QALY, £6842/QALY and £372/QALY in IGT, IFG and HbA1c, respectively), but was only cost-effective relative to other treatments in participants identified with HbA1c. At a willingness-to-pay threshold of £20,000/QALY, low- and high-intensity lifestyle programmes were cost-effective 98%, 99% and 98% and 81%, 81% and 71% of the time in IGT, IFG and HbA1c, respectively. An England-wide programme for 50-59 year olds could reduce T2DM incidence by < 3.5% over 50 years and would cost 0.2-5.2% of the current diabetes budget for 2-9 years. DISCUSSION This analysis suggests that current English national policy of low-intensity lifestyle programmes in participants with IFG or HbA1c will be cost-effective and have the most favourable budget impact, but will prevent only a fraction of cases of T2DM. Additional approaches to prevention need to be investigated urgently.
Collapse
Affiliation(s)
- Samantha Roberts
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe
Observatory Quarter, Woodstock Road, Oxford, OX2 6GG UK
| | - Dawn Craig
- Institute of Health & Society, University of Newcastle, Richardson Road, Newcastle Upon Tyne, NE1 7RU UK
| | - Amanda Adler
- Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0QQ UK
| | - Klim McPherson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe
Observatory Quarter, Woodstock Road, Oxford, OX2 6GG UK
| | - Trisha Greenhalgh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe
Observatory Quarter, Woodstock Road, Oxford, OX2 6GG UK
| |
Collapse
|