Estimated incidence of cardiovascular complications related to type 2 diabetes in Mexico using the UKPDS outcome model and a population-based survey

Cardiovascular Diabetology

Volumn 10, Issue , 2011, Pages

  Reynoso Noverón, Nancy ^a   Mehta, Roopa ^b   Almeda Valdes, Paloma ^b   Rojas Martinez, Rosalba ^c   Villalpando, Salvador ^c   Hernández Ávila, Mauricio ^a   Aguilar Salinas, Carlos A ^b  

^a SECRETARÍA DE SALUD   (Mexico)

^b INSTITUTO NACIONAL DE CIENCIAS MÉDICAS Y NUTRICIÓN SALVADOR ZUBIRÁN   (Mexico)

^c INSTITUTO NACIONAL DE SALUD PÚBLICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AMPUTATION; ARTICLE; CARDIOVASCULAR DISEASE; DEATH; ETHNICITY; FEMALE; HEALTH SURVEY; HEART FAILURE; HEART INFARCTION; HUMAN; ISCHEMIC HEART DISEASE; LIFE EXPECTANCY; MAJOR CLINICAL STUDY; MALE; MEXICO; NON INSULIN DEPENDENT DIABETES MELLITUS; QUALITY OF LIFE; STROKE; AGE; COMPUTER SIMULATION; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; INCIDENCE; MIDDLE AGED; MORTALITY; PREVALENCE; QUALITY ADJUSTED LIFE YEAR; REGRESSION ANALYSIS; RISK ASSESSMENT; RISK FACTOR; SEX DIFFERENCE; STATISTICAL MODEL; TIME;

ADULT; AGE FACTORS; CARDIOVASCULAR DISEASES; COMPUTER SIMULATION; CROSS-SECTIONAL STUDIES; DIABETES COMPLICATIONS; DIABETES MELLITUS, TYPE 2; FEMALE; HEALTH SURVEYS; HUMANS; INCIDENCE; LIFE EXPECTANCY; MALE; MEXICO; MIDDLE AGED; MODELS, STATISTICAL; PREVALENCE; QUALITY-ADJUSTED LIFE YEARS; REGRESSION ANALYSIS; RISK ASSESSMENT; RISK FACTORS; SEX FACTORS; TIME FACTORS;

EID: 78650957695     PISSN: None     EISSN: 14752840     Source Type: Journal    
DOI: 10.1186/1475-2840-10-1     Document Type: Article

References (30)

1. SSA Estadísticas de Mortalidad. 2009, SSA., http://sinais.salud.gob.mx/mortalidad/index.html
2. Aguilar-Salinas CA, Rojas R, Gómez-Pérez FJ, García E, Valles V, Ríos-Torres JM, Franco A, Olaiz G, Sepúlveda J, Rull JA. Early onset type 2 diabetes in a Mexican, population-based, nation-wide survey. Am J Med 2002, 113:569-574. 10.1016/S0002-9343(02)01314-1, 12459403.
3. Aguilar-Salinas CA, Velazquez O, Gómez-Pérez FJ, Gonzalez A, Lara A, Molina V, Rull-Rodrigo J, Tapia R, . the ENSA 2000 Group Characteristics of the patients with type 2 diabetes in México: results from a large population-based, nation-wide survey. Diabetes Care 2003, 26:2021-2026. 10.2337/diacare.26.7.2021, 12832306, the ENSA 2000 Group.
4. Villalpando S, Shamah-Levy T, Rojas R, Aguilar-Salinas CA. Trends for type 2 diabetes and other cardiovascular risk factors in Mexico from 1993-2006. Salud Pública Méx 2010, 52(supl1):S72-S79.
5. Cheung B, Ong K, Cherny S, Sham PC, Tso A, Lam K. Diabetes Prevalence and Therapeutic Target Achievement in the United States, 1999 to 2006. Am J Med 2009, 122:443-453. 10.1016/j.amjmed.2008.09.047, 19375554.
6. Chiu M, Austin PC, Manuel DG, Tu JV. Comparison of cardiovascular risk profiles among ethnic groups using population health surveys between 1996 and 2007. CMAJ 2010, 182:E301-10. 2871219, 20403888.
7. Brown JB, Russell A, Chan W, Pedula K, Aickin M. The global diabetes model: user friendly version 3.0. Diabetes Res Clin Pract 2000, 50(Suppl 3):S15-S46. 10.1016/S0168-8227(00)00215-1, 11080561.
8. Computer Modeling of Diabetes and Its Complications. A report on the Fourth Mount Hood Challenge Meeting. Diabetes Care 2007, 30:1638-1646. 10.2337/dc07-9919, 17526823.
9. Shah DS, Polkinghorne KR, Pellicano R, Kerr PG. Are traditional risk factors valid for assessing cardiovascular risk in end-stage renal failure patients?. Nephrology 2008, 13:667-71. 10.1111/j.1440-1797.2008.00982.x, 18761627.
10. Almeda-Valdes P, Cuevas-Ramos D, Mehta R, Gomez-Perez FJ, Aguilar-Salinas CA. UKPDS Risk Engine, Decode and Diabetes PHD Models for the Estimation of Cardiovascular Risk in Patients with Diabetes. Curr Diabetes Rev 2010, 6:1-8. 10.2174/157339910790442646, 20034373.
11. American Diabetes Association Consensus Panel Guidelines for Computer Modeling of Diabetes and Its Complications. Diabetes Care 2004, 27:2262-2265. 10.2337/diacare.27.9.2262, 15333499, American Diabetes Association Consensus Panel.
12. Boutayeb A, Chetouani A. A critical review of mathematical models and data used in Diabetology. BioMedical Engineering OnLine 2006, 5:43. 1553453, 16808835.
13. Clarke PM, Gray AM, Briggs A, Farmer AJ, Fenn P, Stevens RJ, Matthews DR, Stratton IM, Holman RR. A model to estimate the lifetime health outcomes of patients with Type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model (UKPDS no. 68). Diabetologia 2004, 47:1747-1759. 10.1007/s00125-004-1527-z, 15517152.
14. Guzder RN, Gatling W, Mullee MA, Mehta RL, Byrne CD. Prognostic value of the Framingham cardiovascular risk equation and the UKPDS risk engine for coronary heart disease in newly diagnosed Type 2 diabetes: results from a United Kingdom study. Diabet Med 2005, 22:554-562. 10.1111/j.1464-5491.2005.01494.x, 15842509.
15. Barquera S, Campos-Nonato I, Carrión-Rábago C, Villalpando S, López-Ridaura R, Rojas R, Aguilar-Salinas CA. Methodology of the National Health and Nutrition Survey 2006. Salud Pública Méx 2010, 52(supl1):S4-S10.
16. Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. 2006, Cuernavaca, México: Instituto Nacional de Salud Pública.
17. WHO expert consultation Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004, 363:157-63. 10.1016/S0140-6736(03)15268-3, 14726171, WHO expert consultation.
18. Sánchez-Castillo CP, Velázquez-Monroy O, Berber A, Lara-Esqueda A, Tapia-Conyer R, James WP, . Encuesta Nacional de Salud (ENSA) 2000 Working Group Anthropometric Cutoff Points for Predicting Chronic Diseases in the Mexican National Health Survey 2000. Obesity Res 2003, 11:442-451. Encuesta Nacional de Salud (ENSA) 2000 Working Group.
19. Price A, Patterson N, Yu F, Cox D, Waliszewska A, McDonald G, Tandon A, Schirmer C, Neubauer J, Bedoya G, Tello-Ruiz M, Riba L, Aguilar-Salinas CA, Canizales S, Henderson B, Haiman C, Winkler C, Tusie T, Ruiz-Linares R, Reich D. A genomewide admixture map for Latino populations. Am Journal Human Genet 2007, 80:1024-1036.
20. Consejo Nacional de Población CONAPO Indicadores demográficos básicos 1990-2030. 2010, Consejo Nacional de Población CONAPO., http://www.conapo.gob.mx/index.php?option=com_content&view=article&id=301&Itemid=418
21. Kümler T, Gislason G, Køber L, Torp-Pedersen C. Diabetes is an independent predictor of survival 17 years after myocardial infarction: follow-up of the TRACE registry. Cardiovasc Diabetol 2010, 9:22. 2893120, 20525192.
22. Moebus S, Balijepalli C, Lösch C, Göres L, von Stritzky B, Bramlage P, Wasem J, Jöckel KH. Age- and sex-specific prevalence and ten-year risk for cardiovascular disease of all 16 risk factor combinations of the metabolic syndrome - A cross-sectional study. Cardiovasc Diabetol 2010, 9:34. 10.1186/1475-2840-9-34, 2929217, 20696055.
23. Annemans L, Marbaix S, Webb K, Van Gaal L, Scheen A. Cost effectiveness of atorvastatin in patients with type 2 diabetes mellitus: a pharmacoeconomic analysis of the collaborative atorvastatin diabetes study in the belgian population. Clin Drug Investig 2010, 30:133-42. 10.2165/11531910-000000000-00000, 20067331.
24. Eggleston KN, Shah ND, Smith SA, Wagie AE, Williams AR, Grossman JH, Berndt ER, Long KH, Banerjee R, Newhouse JP. The net value of health care for patients with type 2 diabetes, 1997 to 2005. Ann Intern Med 2009, 151:386-93.
25. Van der Heijden A, Ortegon M, Niessen L, Nijpels G, Dekker J. Prediction of Coronary Heart Disease Risk in a General, Pre-Diabetic, and Diabetic Population During 10 Years of Follow-up: Accuracy of the Framingham, SCORE, and UKPDS Risk Functions The Hoorn Study. Diabetes Care 2009, 32:2094-2098. 10.2337/dc09-0745, 2768197, 19875606.
26. Jimenez A, Rojas R, Gómez-Pérez FJ, Aguilar-Salinas CA. Early onset type 2 diabetes in a Mexican, population-based, nation-wide survey: Results of the Encuesta Nacional de Salud y Nutrición 2006. Salud Pública Méx 2010, 52(supl1):S27-S35.
27. Song SH, Hardisty CA. Early onset type 2 diabetes mellitus: a harbinger for complications in later years--clinical observation from a secondary care cohort. QJM 2009, 102:799-806.
28. Kengne AP, Patel A, Colagiuri S, Heller S, Hamet P, Marre M, Pan CY, Zoungas S, Grobbee DE, Neal B, Chalmers J, Woodward M, . ADVANCE Collaborative Group The Framingham and UK Prospective Diabetes Study (UKPDS) risk equations do not reliably estimate the probability of cardiovascular events in a large ethnically diverse sample of patients with diabetes: the Action in Diabetes and Vascular Disease: Preterax and Diamicron-MR Controlled Evaluation (ADVANCE) Study. Diabetologia 2010, 53:821-831. 10.1007/s00125-010-1681-4, 20157695, ADVANCE Collaborative Group.
29. Kirk JK, Bertoni AG, Case D, Bell RA, Goff DC, Narayan KM. Predicted risk of coronary heart disease among persons with type 2 diabetes. Coron Artery Dis 2007, 18:595-600. 10.1097/MCA.0b013e3282f0902b, 18004108.
30. Simmons RK, Coleman RL, Price HC, Holman R, Khaw KT, Wareham N, Griffin S. Performance of the UK Prospective Diabetes Study risk engine and the Framingham risk equations in estimating cardiovascular disease in the EPICNorfolk Cohort. Diabetes Care 2009, 32:708-713. 10.2337/dc08-1918, 2660447, 19114615.