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Arora S, Lam CN, Burner E, Menchine M. Implementation and Evaluation of an Automated Text Message-Based Diabetes Prevention Program for Adults With Pre-diabetes. J Diabetes Sci Technol 2023:19322968231162601. [PMID: 36946537 DOI: 10.1177/19322968231162601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
BACKGROUND Despite the efficacy of diabetes prevention programs, only an estimated 5% of people with pre-diabetes actually participate. Mobile health (mHealth) holds promise to engage patients with pre-diabetes into lifestyle modification programs by decreasing the referral burden, centralizing remote enrollment, removing the physical requirement of a brick-and-mortar location, lowering operating costs through automation, and reducing time and transportation barriers. METHODS Non-randomized implementation study enrolling patients with pre-diabetes from a large health care organization. Patients were exposed to a text message-based program combining live human coaching guidance and support with automated scheduled, interactive, data-driven, and on-demand messages. The primary analysis examined predicted weight outcomes at 6 and 12 months. Secondary outcomes included predicted changes in HbA1c and minutes of exercise at 6 and 12 months. RESULTS Of the 163 participants included in the primary analysis, participants had a mean predicted weight loss of 5.5% at six months (P < .001) and of 4.3% at 12 months (P < .001). We observed a decrease in predicted HbA1c from 6.1 at baseline to 5.8 at 6 and 12 months (P < .001). Activity minutes were statistically similar from a baseline of 155.5 minutes to 146.0 minutes (P = .567) and 142.1 minutes (P = .522) at 6 and 12 months, respectively, for the overall cohort. CONCLUSIONS In this real-world implementation of the myAgileLife Diabetes Prevention Program among patients with pre-diabetes, we observed significant decreases in weight and HbA1c at 6 and 12 months. mHealth may represent an effective and easily scalable potential solution to deliver impactful diabetes prevention curricula to large numbers of patients.
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Affiliation(s)
- Sanjay Arora
- Department of Emergency Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Chun Nok Lam
- Department of Emergency Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Elizabeth Burner
- Department of Emergency Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Michael Menchine
- Department of Emergency Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
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2
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Abstract
BACKGROUND Diabetes mellitus, a metabolic disorder characterised by hyperglycaemia and associated with a heavy burden of microvascular and macrovascular complications, frequently remains undiagnosed. Screening of apparently healthy individuals may lead to early detection and treatment of type 2 diabetes mellitus and may prevent or delay the development of related complications. OBJECTIVES To assess the effects of screening for type 2 diabetes mellitus. SEARCH METHODS We searched CENTRAL, MEDLINE, LILACS, the WHO ICTRP, and ClinicalTrials.gov from inception. The date of the last search was May 2019 for all databases. We applied no language restrictions. SELECTION CRITERIA We included randomised controlled trials involving adults and children without known diabetes mellitus, conducted over at least three months, that assessed the effect of diabetes screening (mass, targeted, or opportunistic) compared to no diabetes screening. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles and abstracts for potential relevance and reviewed the full-texts of potentially relevant studies, extracted data, and carried out 'Risk of bias' assessment using the Cochrane 'Risk of bias' tool. We assessed the overall certainty of the evidence using the GRADE approach. MAIN RESULTS We screened 4651 titles and abstracts identified by the search and assessed 92 full-texts/records for inclusion. We included one cluster-randomised trial, the ADDITION-Cambridge study, which involved 20,184 participants from 33 general practices in Eastern England and assessed the effects of inviting versus not inviting high-risk individuals to screening for diabetes. The diabetes risk score was used to identify high-risk individuals; it comprised variables relating to age, sex, body mass index, and the use of prescribed steroid and anti-hypertensive medication. Twenty-seven practices were randomised to the screening group (11,737 participants actually attending screening) and 5 practices to the no-screening group (4137 participants). In both groups, 36% of participants were women; the average age of participants was 58.2 years in the screening group and 57.9 years in the no-screening group. Almost half of participants in both groups were on antihypertensive medication. The findings from the first phase of this study indicate that screening compared to no screening for type 2 diabetes did not show a clear difference in all-cause mortality (hazard ratio (HR) 1.06, 95% confidence interval (CI) 0.90 to 1.25, low-certainty evidence). Screening compared to no screening for type 2 diabetes mellitus showed an HR of 1.26, 95% CI 0.75 to 2.12 (low-certainty evidence) for diabetes-related mortality (based on whether diabetes was reported as a cause of death on the death certificate). Diabetes-related morbidity and health-related quality of life were only reported in a subsample and did not show a substantial difference between the screening intervention and control. The included study did not report on adverse events, incidence of type 2 diabetes, glycosylated haemoglobin A1c (HbA1c), and socioeconomic effects. AUTHORS' CONCLUSIONS We are uncertain about the effects of screening for type 2 diabetes on all-cause mortality and diabetes-related mortality. Evidence was available from one study only. We are therefore unable to draw any firm conclusions relating to the health outcomes of early type 2 diabetes mellitus screening. Furthermore, the included study did not assess all of the outcomes prespecified in the review (diabetes-related morbidity, incidence of type 2 diabetes, health-related quality of life, adverse events, socioeconomic effects).
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Affiliation(s)
- Nasheeta Peer
- Non-communicable Diseases Research Unit, South African Medical Research Council, Durban, South Africa
| | - Yusentha Balakrishna
- Biostatistics Unit, South African Medical Research Council, Durban, South Africa
| | - Solange Durao
- Cochrane South Africa, South African Medical Research Council, Cape Town, South Africa
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3
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Rojo-Martínez G, Valdés S, Soriguer F, Vendrell J, Urrutia I, Pérez V, Ortega E, Ocón P, Montanya E, Menéndez E, Lago-Sampedro A, González-Frutos T, Gomis R, Goday A, García-Serrano S, García-Escobar E, Galán-García JL, Castell C, Badía-Guillén R, Aguilera-Venegas G, Girbés J, Gaztambide S, Franch-Nadal J, Delgado E, Chaves FJ, Castaño L, Calle-Pascual A. Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study. Sci Rep 2020; 10:2765. [PMID: 32066839 PMCID: PMC7026031 DOI: 10.1038/s41598-020-59643-7] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 01/28/2020] [Indexed: 12/22/2022] Open
Abstract
Our aim was to determine the incidence of type 2 diabetes mellitus in a nation-wide population based cohort from Spain (di@bet.es study). The target was the Spanish population. In total 5072 people older than 18 years,were randomly selected from all over Spain). Socio-demographic and clinical data, survey on habits (physical activity and food consumption) and weight, height, waist, hip and blood pressure were recorder. A fasting blood draw and an oral glucose tolerance test were performed. Determinations of serum glucose were made. In the follow-up the same variables were collected and HbA1c was determined. A total of 2408 subjects participated in the follow-up. In total, 154 people developed diabetes (6.4% cumulative incidence in 7.5 years of follow-up). The incidence of diabetes adjusted for the structure of age and sex of the Spanish population was 11.6 cases/1000 person-years (IC95% = 11.1–12.1). The incidence of known diabetes was 3.7 cases/1000 person-years (IC95% = 2.8–4.6). The main risk factors for developing diabetes were the presence of prediabetes in cross-sectional study, age, male sex, obesity, central obesity, increase in weight, and family history of diabetes. This work provides data about population-based incidence rates of diabetes and associated risk factors in a nation-wide cohort of Spanish population.
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Affiliation(s)
- G Rojo-Martínez
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain. .,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain.
| | - S Valdés
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - F Soriguer
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - J Vendrell
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, University Hospital Joan XXIII, Pere Virgili Institute (IISPV), Rovira I Virgili University, Tarragona, Spain
| | - I Urrutia
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - V Pérez
- General Laboratory. Regional University Hospital of Malaga, Malaga, Spain
| | - E Ortega
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain.,Spanish Biomedical Research Network in physiopathology of obesity and Nutrition (CIBEROBN), Barcelona, Spain
| | - P Ocón
- General Laboratory. Regional University Hospital of Malaga, Malaga, Spain
| | - E Montanya
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), University of Barcelona, Bellvitge University Hospital, Barcelona, Spain
| | - E Menéndez
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - A Lago-Sampedro
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - T González-Frutos
- Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain
| | - R Gomis
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain
| | - A Goday
- Spanish Biomedical Research Network in physiopathology of obesity and Nutrition (CIBEROBN), Barcelona, Spain.,Department of Endocrinology and Nutrition, Hospital del Mar, IMIM. Universitat Autònoma, Barcelona, Spain
| | - S García-Serrano
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - E García-Escobar
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - J L Galán-García
- Department of Applied Mathematics, Malaga University, Malaga, Spain
| | - C Castell
- Department of Health, Public Health Agency of Catalonia, Barcelona, Spain
| | - R Badía-Guillén
- Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | | | - J Girbés
- Diabetes Unit, Hospital Arnau of Vilanova, Valencia, Spain
| | - S Gaztambide
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain
| | - J Franch-Nadal
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,EAP Raval Sud, Catalan Institute of Health, GEDAPS Network, Primary Care, Research support unit (IDIAP - Jordi Gol Foundation), Barcelona, Spain
| | - E Delgado
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - F J Chaves
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Genomic and Genetic Diagnosis Unit, Research Foundation of Valencia University Clinical Hospital-INCLIVA, Valencia, Spain
| | - L Castaño
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - A Calle-Pascual
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, University Hospital S. Carlos of Madrid, Madrid, Spain
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4
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Święcicka-Klama A, Połtyn-Zaradna K, Szuba A, Zatońska K. The Natural Course of Impaired Fasting Glucose. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1324:41-50. [PMID: 32767267 DOI: 10.1007/5584_2020_571] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Impaired glucose regulation, including diabetes and prediabetes, poses a huge global problem not only in health but also in the epidemiological and economic areas. These disorders are often detected too late or remain unrecognized. The article aims to provide a review of the prevalence, etiology, and natural history of impaired fasting glucose (IFG). We focus on the progression of isolated IFG to full-fledged type 2 diabetes and the factors conducive to the development of diabetes. The knowledge about it could help design an optimal management program for the prevention of diabetes in patients with IFG; a program that would be patient-tailored and based on the underlying pathophysiology.
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Affiliation(s)
- Agnieszka Święcicka-Klama
- Department of Social Medicine, Wroclaw Medical University, Wroclaw, Poland. .,Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, Wroclaw, Poland.
| | | | - Andrzej Szuba
- Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, Wroclaw, Poland
| | - Katarzyna Zatońska
- Department of Social Medicine, Wroclaw Medical University, Wroclaw, Poland
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5
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Magliano DJ, Islam RM, Barr ELM, Gregg EW, Pavkov ME, Harding JL, Tabesh M, Koye DN, Shaw JE. Trends in incidence of total or type 2 diabetes: systematic review. BMJ 2019; 366:l5003. [PMID: 31511236 PMCID: PMC6737490 DOI: 10.1136/bmj.l5003] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To assess what proportions of studies reported increasing, stable, or declining trends in the incidence of diagnosed diabetes. DESIGN Systematic review of studies reporting trends of diabetes incidence in adults from 1980 to 2017 according to PRISMA guidelines. DATA SOURCES Medline, Embase, CINAHL, and reference lists of relevant publications. ELIGIBILITY CRITERIA Studies of open population based cohorts, diabetes registries, and administrative and health insurance databases on secular trends in the incidence of total diabetes or type 2 diabetes in adults were included. Poisson regression was used to model data by age group and year. RESULTS Among the 22 833 screened abstracts, 47 studies were included, providing data on 121 separate sex specific or ethnicity specific populations; 42 (89%) of the included studies reported on diagnosed diabetes. In 1960-89, 36% (8/22) of the populations studied had increasing trends in incidence of diabetes, 55% (12/22) had stable trends, and 9% (2/22) had decreasing trends. In 1990-2005, diabetes incidence increased in 66% (33/50) of populations, was stable in 32% (16/50), and decreased in 2% (1/50). In 2006-14, increasing trends were reported in only 33% (11/33) of populations, whereas 30% (10/33) and 36% (12/33) had stable or declining incidence, respectively. CONCLUSIONS The incidence of clinically diagnosed diabetes has continued to rise in only a minority of populations studied since 2006, with over a third of populations having a fall in incidence in this time period. Preventive strategies could have contributed to the fall in diabetes incidence in recent years. Data are limited in low and middle income countries, where trends in diabetes incidence could be different. SYSTEMATIC REVIEW REGISTRATION Prospero CRD42018092287.
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Affiliation(s)
- Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Rakibul M Islam
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | | | - Edward W Gregg
- Centres for Diseases Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
- School of Public Health, Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Meda E Pavkov
- Centres for Diseases Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
| | - Jessica L Harding
- Centres for Diseases Control and Prevention, Division of Diabetes Translation, Atlanta, GA, USA
| | - Maryam Tabesh
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Digsu N Koye
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
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6
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Lillegraven S, Greenberg JD, Reed GW, Saunders K, Curtis JR, Harrold L, Hochberg MC, Pappas DA, Kremer JM, Solomon DH. Immunosuppressive treatment and the risk of diabetes in rheumatoid arthritis. PLoS One 2019; 14:e0210459. [PMID: 30673733 PMCID: PMC6343881 DOI: 10.1371/journal.pone.0210459] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 12/24/2018] [Indexed: 02/07/2023] Open
Abstract
Objective Inflammation and anti-inflammatory treatments might influence the risk of diabetes. The objective of this study was to assess factors associated with incident diabetes in rheumatoid arthritis (RA). Methods The study population consisted of RA patients from a multi-center cohort study, Corrona. To assess risk associated with disease modifying antirheumatic drug (DMARD) exposure, we assessed five mutually exclusive DMARD groups. Additionally, we assessed the risk associated with body mass index (BMI, <25, 25–30, >30 kg/m2) and glucocorticoid usage. Incident cases of diabetes were confirmed through adjudication, and Cox regression models were fit to estimate the risk of incident diabetes. Results We identified 21,775 DMARD treatment regimens, the mean (SD) age at the index visit was 58 (13) years, disease duration 10 (10) years, and 30% used oral glucocorticoids at the time. Eighty-four incident cases of diabetes were confirmed within the treatment exposure periods. The hazard ratio (HR, 95% confidence interval) for diabetes was significantly reduced in patients receiving TNF inhibitors, HR 0.35 (0.13, 0.91), compared to patients treated with non-biologic DMARDs other than hydroxychloroquine and methotrexate. Hydroxychloroquine, methotrexate and use of other biologic DMARDs had a numerically reduced risk compared to the same group. Patients prescribed ≥7.5 mg of glucocorticoids had a HR of 2.33 (1.68, 3.22) of incident diabetes compared with patients not prescribed oral glucocorticoids. RA patients with a BMI >30 had a HR of 6.27 (2.97, 13.25) compared to patients with BMI ≤25. Conclusion DMARDs, glucocorticoids and obesity influenced the risk of incident diabetes in a large cohort of RA patients. Monitoring for the occurrence of diabetes should be part of routine RA management with a focus on specific subgroups.
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Affiliation(s)
| | | | - George W. Reed
- Corrona, LLC, Worcester, Massachusetts, United States of America
- UMass Medical School, Worcester, Massachusetts, United States of America
| | | | - Jeffrey R. Curtis
- University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Leslie Harrold
- Corrona, LLC, Worcester, Massachusetts, United States of America
- University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Marc C. Hochberg
- University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - Dimitrios A. Pappas
- Columbia University, College of Physicians and Surgeons, New York, NY, United States of America
| | - Joel M. Kremer
- Albany Medical College and The Center for Rheumatology, Albany, NY, United States of America
| | - Daniel H. Solomon
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
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Abstract
IN BRIEF Type 2 diabetes can be prevented or delayed in people with prediabetes through participation in an intensive lifestyle change program (LCP), particularly one based on the Diabetes Prevention Program research study. Digital health offers opportunities to extend the reach of such LCPs and possibly improve on these programs, which traditionally have been delivered in person. In this review, we describe the current state of evidence regarding digital health-supported LCPs and discuss gaps in research and opportunities for future efforts.
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8
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Simmons RK, Griffin SJ, Witte DR, Borch-Johnsen K, Lauritzen T, Sandbæk A. Effect of population screening for type 2 diabetes and cardiovascular risk factors on mortality rate and cardiovascular events: a controlled trial among 1,912,392 Danish adults. Diabetologia 2017; 60:2183-2191. [PMID: 28831535 PMCID: PMC6086322 DOI: 10.1007/s00125-017-4323-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 05/10/2017] [Indexed: 01/09/2023]
Abstract
AIMS/HYPOTHESIS Health check programmes for chronic disease have been introduced in a number of countries. However, there are few trials assessing the benefits and harms of these screening programmes at the population level. In a post hoc analysis, we evaluated the effect of population-based screening for type 2 diabetes and cardiovascular risk factors on mortality rates and cardiovascular events. METHODS This register-based, non-randomised, controlled trial included men and women aged 40-69 years without known diabetes who were registered with a general practice in Denmark (n = 1,912,392). Between 2001 and 2006, 153,107 individuals registered with 181 practices participating in the Anglo-Danish-Dutch Study of Intensive Treatment in People with Screen-Detected Diabetes in Primary Care (ADDITION)-Denmark study were sent a diabetes risk score questionnaire. Individuals at moderate-to-high risk were invited to visit their GP for assessment of diabetes status and cardiovascular risk (screening group). The 1,759,285 individuals registered with all other general practices in Denmark constituted the retrospectively constructed no-screening (control) group. Outcomes were mortality rate and cardiovascular events (cardiovascular disease death, non-fatal ischaemic heart disease or stroke). The analysis was performed according to the intention-to-screen principle. RESULTS Among the screening group, 27,177 (18%) individuals attended for assessment of diabetes status and cardiovascular risk. Of these, 1,533 were diagnosed with diabetes. During a median follow-up of 9.5 years, there were 11,826 deaths in the screening group and 141,719 in the no-screening group (HR 0.99 [95% CI 0.96, 1.02], p = 0.66). There were 17,941 cardiovascular events in the screening group and 208,476 in the no-screening group (HR 0.99 [0.96, 1.02], p = 0.49). CONCLUSIONS/INTERPRETATION A population-based stepwise screening programme for type 2 diabetes and cardiovascular risk factors among all middle-aged adults in Denmark was not associated with a reduction in rate of mortality or cardiovascular events between 2001 and 2012.
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Grants
- MC_UU_12015/4 Medical Research Council
- ADDITION-Denmark was supported by the National Health Services in the counties of Copenhagen, Aarhus, Ringkøbing, Ribe and South Jutland in Denmark, the Danish Council for Strategic Research, the Danish Research Foundation for General Practice, Novo Nordisk Foundation, the Danish Centre for Evaluation and Health Technology Assessment, the diabetes fund of the National Board of Health, the Danish Medical Research Council, the Aarhus University Research Foundation. The trial has been supported by
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Affiliation(s)
- Rebecca K Simmons
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
- Steno Diabetes Center, Gentofte, Denmark.
- Department of Public Health, Section of General Practice, Aarhus University, Aarhus, Denmark.
- Danish Diabetes Academy, Odense University Hospital, Odense, Denmark.
- Aarhus Institute of Advanced Studies, Aarhus, Denmark.
| | - Simon J Griffin
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Public Health, Section of General Practice, Aarhus University, Aarhus, Denmark
- Primary Care Unit, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Daniel R Witte
- Danish Diabetes Academy, Odense University Hospital, Odense, Denmark
- Department of Public Health, Section of Epidemiology, Aarhus University, Aarhus, Denmark
| | | | - Torsten Lauritzen
- Department of Public Health, Section of General Practice, Aarhus University, Aarhus, Denmark
| | - Annelli Sandbæk
- Department of Public Health, Section of General Practice, Aarhus University, Aarhus, Denmark
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9
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Valderhaug TG, Sharma A, Kravdal G, Rønningen R, Nermoen I. The usage of fasting glucose and glycated hemoglobin for the identification of unknown type 2 diabetes in high risk patients with morbid obesity. Scand J Clin Lab Invest 2017; 77:505-512. [PMID: 28715238 DOI: 10.1080/00365513.2017.1347958] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND In spite of increased vigilance of undiagnosed type 2 diabetes (DM2), the prevalence of unknown DM2 in subjects with morbid obesity is not known. AIM To assess the prevalence of undiagnosed DM2 and compare the performance of glycated A1c (HbA1c) and fasting glucose (FG) for the diagnosis of DM2 and prediabetes (preDM) in patients with morbid obesity. PATIENTS AND METHODS We measured fasting glucose and HbA1c in 537 consecutive patients with morbid obesity without previously known DM2. RESULTS A total of 49 (9%) patients with morbid obesity had unknown DM2 out of which 16 (33%) fulfilled both the criteria for HbA1c and FG. Out of 284 (53%) subjects with preDM, 133 (47%) fulfilled both the criteria for HbA1c and FG. Measurements of agreement for FG and HbA1c were moderate for DM2 (κ = 0.461, p < .001) and fair for preDM (κ = 0.317, p < .001). Areas under the curve for FG and HbA1c in predicting unknown DM2 were 0.970 (95% CI 0.942, 0.998) and 0.894 (95% CI 0.837, 0.951) respectively. The optimal thresholds to identify unknown DM2 were FG ≥6.6 mmol/L and HbA1c ≥ 6.1% (43 mmol/mol). CONCLUSIONS The prevalence of DM2 remains high and both FG and HbA1c identify patients with unknown DM2. FG was slightly superior to HbA1c in predicting and separating patients with unknown DM2 from patients without DM2. We suggest that an FG ≥6.6 mmol/L or an HbA1c ≥6.1% (43 mmol/mol) may be used as primary cut points for the identification of unknown DM2 among patients with morbid obesity.
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Affiliation(s)
- Tone G Valderhaug
- a Department of Endocrinology , Akershus University Hospital HF , Lørenskog , Norway.,b Division of Medicine and Laboratory Sciences , Institute of Clinical Medicine, University of Oslo , Norway
| | - Archana Sharma
- a Department of Endocrinology , Akershus University Hospital HF , Lørenskog , Norway
| | - Gunnhild Kravdal
- c Multidisciplinary Laboratory Medicine and Medical Biochemistry , Akershus University Hospital HF , Lørenskog , Norway
| | - Reidun Rønningen
- a Department of Endocrinology , Akershus University Hospital HF , Lørenskog , Norway
| | - Ingrid Nermoen
- a Department of Endocrinology , Akershus University Hospital HF , Lørenskog , Norway.,b Division of Medicine and Laboratory Sciences , Institute of Clinical Medicine, University of Oslo , Norway
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Cefalu WT. "Prediabetes": Are There Problems With This Label? No, We Need Heightened Awareness of This Condition! Diabetes Care 2016; 39:1472-7. [PMID: 27457639 PMCID: PMC4955936 DOI: 10.2337/dc16-1143] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The category of "prediabetes" defined by the American Diabetes Association comprises a range of intermediate hyperglycemia based on fasting or 2-h postload glucose or on HbA1c Over the recent past, the "cut points" identifying this stage have changed, i.e., a lower fasting glucose level is used. On one hand, it can be argued that the change to a lower cut point identifies a group of individuals still at higher risk and provides heightened awareness for a condition associated with higher risk for cardiovascular disease. In addition, identification of individuals at this stage may represent a chance of earlier intervention in the disease. However, the argument against this definition of prediabetes is that it disguises the differences in the three subcategories and creates problems in interpreting observations on interventions and outcomes. In addition, it can be argued that the enormous numbers of people identified with the criteria far exceeds the capacity of health care systems to respond through individual care, particularly without evidence that interventions benefit any category other than impaired glucose tolerance. Thus, there does not appear to be consensus on the definition using the cut points identified. Controversy also remains as to whether there are glycemic metrics beyond HbA1c that can be used in addition to HbA1c to help assess risk of an individual developing diabetes complications. Given the current controversy, a Point-Counterpoint debate on this issue is provided herein. In the preceding point narrative, Dr. Yudkin provides his argument that there are significant problems with this label. In the counterpoint narrative below, Dr. Cefalu argues that the cut points are appropriate and do provide useful and important information in trying to reduce the future burden of diabetes.-William T. CefaluEditor in Chief, Diabetes Care.
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Affiliation(s)
- William T Cefalu
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
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