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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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Núñez-Sánchez MÁ, Cervantes-Cuesta MÁ, Brocal-Ibañez P, Salmeron-Arjona E, León-Martínez LP, Cerezo-Sanmartin M. [Introduction of capillary glycosylated haemoglobin determination in a Primary Care Health Area: Multicentre study of the evolution of patients with type 2 diabetes mellitus]. REVISTA DE CALIDAD ASISTENCIAL : ORGANO DE LA SOCIEDAD ESPANOLA DE CALIDAD ASISTENCIAL 2017; 32:66-72. [PMID: 27836420 DOI: 10.1016/j.cali.2016.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 09/08/2016] [Accepted: 09/11/2016] [Indexed: 06/06/2023]
Abstract
PURPOSE The aim of this study was to evaluate the efficiency of a joint intervention that included educational components, self-assessment, and information to optimise diabetes control through the introduction of instant capillary glycosylated haemoglobin (HbA1c) determination in Primary Care. MATERIALS AND METHODS A multicentre prospective descriptive study was carried out over 3years in 10Primary Care Centres of the Area VII Murcia East. At the end of the study there were 804 patients with type 2 diabetes (DM2). Patients were divided into 4 groups based on initial values of HbA1c, and if changes in their treatment were needed. HbA1c, body mass index, and blood pressure were monitored. A financial assessment was also performed on the impact of the implementation of a protocol to measure instant capillary RESULTS: A significant reduction was observed in HbA1c values. The initial HbA1c mean value was 7.4±1.4%, which decreased to a final value of 6.9±1.0% (P<.001). At the end of the study, 71.4% of patients included reached diabetic control objectives. In addition, the financial assessment demonstrated that the implementation of this diabetes control system led to a decrease of the 24.7% in spending on glucose strips after the first year of study in Area VII Murcia Health Service. CONCLUSIONS The introduction of capillary HbA1c determination in Primary Care has demonstrated to improve diabetes control and the efficiency of the health personnel. Furthermore, a reduction in the health costs of patients with DM2 was also shown.
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Affiliation(s)
- M Á Núñez-Sánchez
- Unidad de Diabetes, Hospital General Universitario Reina Sofía, Murcia, España.
| | | | - P Brocal-Ibañez
- Centro de Salud de Atención Primaria El Carmen, Murcia, España
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García-Soidán FJ, Villoro R, Merino M, Hidalgo-Vega Á, Hernando-Martín T, González-Martín-Moro B. [Health status, quality of life, and use of healthcare resources by patients with diabetes mellitus in Spain]. Semergen 2016; 43:416-424. [PMID: 27445223 DOI: 10.1016/j.semerg.2016.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2015] [Revised: 05/29/2016] [Accepted: 06/02/2016] [Indexed: 11/18/2022]
Abstract
INTRODUCTION This study analyses the health status of patients diagnosed with diabetes mellitus (DM), their health related quality of life (HRQoL) and their use of healthcare resources in Spain. MATERIALS AND METHODS A descriptive analysis was conducted using the Spanish Health National Survey (ENSE, 2012), gathering data on those patients aged 15 and over diagnosed with DM. Their health status, their HRQoL, and their use of healthcare resources were systematically compared with those of patients diagnosed with other chronic conditions (OCC), as well as a population without DM (non-DM). RESULTS Out of 21,007 subjects that took part, 7.4% were diagnosed with DM and 59% with OCC conditions (mean age 65.6±14.2 years with DM, 51.3±18.1 years with OCC, and 45.7±18.2 years with non-DM). When compared to non-DM and OCC, DM was statistically significantly associated with higher frequencies of hypertension, hypercholesterolaemia, obesity, myocardial infraction, hospital admissions in the last year, and drug consumption, but with a lower number of visits to secondary healthcare. The mean quality adjusted life years (QALY) of patients with DM was 0.75 per year, significantly lower (P<.05) to that of individuals with OCC (0.89), and those without DM (0.92). The difference vs. non-DM remained statistically significant after adjusting for age, gender, and number of comorbidities (P<.001). CONCLUSIONS In Spain, DM is associated with a high comorbidity, involves a greater loss in HRQoL than those diagnosed with other chronic conditions as a whole, and generates a significant burden on the healthcare system.
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Affiliation(s)
| | - R Villoro
- Departamento de Economía de la Salud, Weber Economía y Salud, Madrid, España
| | - M Merino
- Departamento de Economía de la Salud, Weber Economía y Salud, Madrid, España
| | - Á Hidalgo-Vega
- Departamento de Fundamentos de Análisis Económico, Universidad de Castilla-La Mancha, Toledo, España
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Azriel S, Casal F, Dalama B, Varillas F, Villarroel Á, Soto A, Barberá G. Glycemic control parameters in insulin-naïve patients with uncontrolled type 2 diabetes referred to endocrinologists, and degree of implementation of the national Spanish consensus for the management of hyperglycemia. ACTA ACUST UNITED AC 2014; 61:541-7. [PMID: 25260336 DOI: 10.1016/j.endonu.2014.06.004] [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] [Received: 03/11/2014] [Revised: 06/10/2014] [Accepted: 06/16/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To assess blood glucose in patients with uncontrolled type 2 diabetes mellitus treated with oral antidiabetic drugs in primary care at the time of referral to specialized endocrinologists, and the degree of implementation of the national consensus guidelines of the Spanish Society of Diabetes by evaluating steps one (S1), two (S2), and three (S3) of the escalating therapy. MATERIAL AND METHODS Retrospective, observational study where 81 endocrinologists evaluated patients ≥40 years of age referred from primary care between July 2012 and July 2013, treated with 1 to 2 oral antidiabetic drugs but no insulin therapy, and with glycosylated hemoglobin (HbA(1c)) levels ≥6.5%. Patients also had to have HbA(1c) levels and both fasting and postprandial plasma glucose measurements from the previous three months. RESULTS A total of 285 patients (57.6% males) were assessed. Mean (SD) age was 63.1 (9.7) years, mean HbA1c was 8.5 (1.2) %, mean FPG was 171.7 (43) mg/dL, and mean postprandial plasma glucose was 206.8 (50) mg/dL. In primary care, 26.0% of patients were at S1 and 74.0% were at S2. After referral to the endocrinologist, 9.8% of patients moved onto S1, 42.8% onto S2, and 47.4% onto S3. Oral antidiabetic drugs most commonly prescribed in primary care were metformin (90.2%), DPP-4 inhibitors (34.4%), and sulfonylureas (30.5%), while drugs most commonly used in the specialized endocrinology setting were metformin (86%), insulin (56.8%), and DPP-4 inhibitors (49.8%). The most commonly followed guidelines were those of the American Diabetes Association and the consensus guidelines of the Spanish Society of Diabetes, in 77% and 45% of cases respectively. CONCLUSIONS Approximately half the patients treated with oral antidiabetic drugs in primary care are prescribed insulin after referral to an endocrinology specialist. The most commonly followed guidelines in specialized care are the American Diabetes Association guidelines.
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Affiliation(s)
| | | | - Belén Dalama
- Hospital Universitario Valle Hebron, Barcelona, España
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