2018, Número 5
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salud publica mex 2018; 60 (5)
Diseño y validación de un score para detectar adultos con prediabetes y diabetes no diagnosticada
Rojas-Martínez R, Escamilla-Núñez C, Gómez-Velasco DV, Zárate-Rojas E, Aguilar-Salinas CA
Idioma: Español
Referencias bibliográficas: 40
Paginas: 500-509
Archivo PDF: 266.35 Kb.
RESUMEN
Objetivo. Diseñar y validar un score de riesgo de fácil aplicación
para detectar prediabetes y diabetes no diagnosticada
en población mexicana.
Material y métodos. Empleando
la información del estudio de cohorte de 10 234 adultos del
Instituto Nacional de Ciencias Médicas y Nutrición Salvador
Zubirán (INCMNSZ), se identificaron factores de riesgo
incluidos en modelos de regresión logística múltiple estratificados
por sexo. Los coeficientes beta fueron multiplicados
por 10 para obtener el peso de cada variable en el
score. Una
submuestra de la Encuesta Nacional de Salud y Nutrición
(Ensanut) 2012 se usó para validar el
score.
Resultados. El
score propuesto clasificó correctamente 55.4% a las mujeres
con diabetes no diagnosticada y 57.2% a las mujeres con
prediabetes o diabetes. Por su parte, clasificó correctamente
a los hombres en 68.6 y 69.9%, respectivamente.
Conclusiones.
Presentamos el diseño y validación de un
score de
riesgo estratificado por sexo para determinar si un adulto
podría tener prediabetes o diabetes, en cuyo caso deberán
realizarse estudios de laboratorio para confirmar o descartar
el diagnóstico.
REFERENCIAS (EN ESTE ARTÍCULO)
Secretaría de Salud. Estadísticas de Mortalidad en México: muertes registradas en el año 2000. Salud Publica Mex. 2002;44:266-82.
Secretaría de Salud. Encuesta Nacional de Enfermedades Crónicas 1993. Ciudad de México: SSA, 1994.
Olaiz-Fernández, G, Rojas R, Aguilar-Salinas C, Rauda J, Villalpando S. Diabetes mellitus in Mexican adults: results from the 2000 National Health Survey. Salud Publica Mex. 2007;49:331-7. https://doi.org/10.1590/ S0036-36342007000900004
Villalpando S, Rojas R, Shamah-Levy T, Ávila MA, Gaona B, De la Cruz V, et al. Prevalence and distribution of type 2 diabetes mellitus in Mexican adult population. A probabilistic survey. Salud Publica Mex. 2010;52(suppl 1):S19-26. https://doi.org/10.1590/S0036-36342010000700005
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 Mex. 2010;52(suppl 1):S72-9. https://doi.org/10.1590/ S0036-36342010000700011
Secretaría de Salud. Estrategia para la prevención y el control del sobrepeso, la obesidad y la diabetes. Ciudad de México: SSa, 2013.
Gutierrez JP, Dommarco J, Shamah T, Villalpando S, Franco A, Cuevas L, et al. Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales. Cuernavaca: Instituto Nacional de Salud Pública, 2012.
Olaiz G, Rivera J, Shamah T, Rojas R, Villalpando S, Hernández-Avila M, et al. Encuesta Nacional de Salud y Nutrición 2006, Cuernavaca: Instituto Nacional de Salud Pública, 2006.
Hussain A, Claussen B, Ramachandran A, Williams R. Prevention of type 2 diabetes: a review. Diabetes Res Clin Pract. 2007;76:317-26. https://doi. org/10.1016/j.diabres.2006.09.020
Koopman RJ, Mainous AG, Liszka HA, Colwell JA, Slate EH, Carnemolla MA, Everett CJ. Evidence of nephropathy and peripheral neuropathy in US Adults with undiagnosed diabetes. Ann Fam Med. 2006:4;427-32. https:// doi.org/10.1370/afm.577
Harris MI, Klein R, Welborn TA, Knuiman MW. Onset of NIDDM occurs at least 4-7 yr before clinical diagnosis. Diabetes Care. 1992;15(7):815-9. https://doi.org/10.2337/diacare.15.7.815
Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for some traditional and novel measures. Epidemiology. 2010; 21(1):128-38. https://doi.org/10.1097/EDE.0b013e3181c30fb2
Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-31. https://doi. org/10.2337/diacare.26.3.725
Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D’Agostino RB Sr. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study Arch Intern Med. 2007;167(10):1068-74.
Schulze MB, Hoffmann K, Boeing H, Linseisen J, Rohrmann S, Möhlig M, et al. An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes. Diabetes Care. 2007;30(3):510-5. https://doi.org/10.2337/dc06-2089
Schmidt MI, Duncan BB, Bang H, Pankow JS, Ballantyne CM, Golden SH, et al. Atherosclerosis Risk in Communities Investigators. Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study. Diabetes Care. 2005;28(8):2013-8. https://doi.org/10.2337/ diacare.28.8.2013
Balkau B, Lange C, Fezeu L, Tichet J, de Lauzon-Guillain B, Czernichow S, et al. Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care. 2008;31(10):2056-61. https://doi.org/10.2337/ dc08-0368
Chien K, Cai T, Hsu H, Su T, Chang W, Chen M, et al. A prediction model for type 2 diabetes risk among Chinese people. Diabetologia. 2009;52(3):443-50. https://doi.org/10.1007/s00125-008-1232-4
Aekplakorn W, Bunnag P, Woodward M, Sritara P, Cheepudomwit S, Yamwong S, et al. A risk score for predicting incident diabetes in the Thai population. Diabetes Care. 2006;29(8):1872-7. https://doi.org/10.2337/ dc05-2141
Expert panel on detection, evaluation and treatment of high blood cholesterol in adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert panel on detection, evaluation and treatment of high cholesterol. JAMA. 2001;285:2486-97. https://doi.org/10.1001/jama.285.19.2486
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the Metabolic Syndrome. An American Hearth Association/National Heart, Lung, and Blood Institute: Scientific Statement. Crit Pathw Cardiol. 2005;4(4):198-203.
Alberti KG, Zimmet P, Shaw J. The metabolic syndrome: a new worldwide definition. Lancet. 2005;366:1059-62. https://doi.org/10.1016/ S0140-6736(05)67402-8
Herman WH, Smith PJ, Thompson TJ, Engelgau MM, Aubert RE. A new and simple questionnaire to identify people at increased risk for undiagnosed diabetes. Diabetes Care. 1995;18:382-7. https://doi.org/10.2337/ diacare.18.3.382
Glümer C, Carstensen B, Sandbaek A, Lauritzen T, Jørgensen T, Borch- Johnsen K. A Danish diabetes risk score for targeted screening: the Inter99 study. Diabetes Care. 2004;27(3):727-33. https://doi.org/10.2337/ diacare.27.3.727
Heikes KE, Eddy DM, Arondekar B, Schlessinger L. Diabetes Risk Calculator. A simple tool for detecting undiagnosed diabetes and pre-diabetes. Diabetes Care. 2008;31:1040-5. https://doi.org/10.2337/dc07-1150
Baan CA, Ruige JB, Stolk RP, Witteman JC, Dekker JM, Heine RJ, Feskens EJ. Performance of a predictive model to identify undiagnosed diabetes in a health care setting. Diabetes Care. 1999;22(2):213-9. https:// doi.org/10.2337/diacare.22.2.213
Ruige JB, de Neeling JN, Kostense PJ, Bouter LM, Heine RJ. Performance of an NIDDM screening questionnaire based on symptoms and risk factors. Diabetes Care. 1997;20(4):491-6. https://doi.org/10.2337/ diacare.20.4.491
Griffin SJ, Little PS, Hales CN, Kinmonth AL, Wareham NJ. Diabetes risk score: towards earlier detection of type 2 diabetes in general practice. Diabetes Metab Res Rev. 2000;16(3):164-71. https://doi.org/10.1002/1520- 7560(200005/06)16:3<164::AID-DMRR103>3.0.CO;2-R
Secretaría de Salud. Cuestionario de factores de riesgo [internet]. Ciudad de México: Cenaprece, 2014 [citado octubre 1, 2015]. Disponible en: https://www.gob.mx/cms/uploads/attachment/file/19804/Cuestionario- FactoresRiesgo_11042014.pdf
Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381-1395. https://doi. org/10.1249/01.MSS.0000078924.61453.FB
World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation [internet]. Geneva: WHO, 2006:1-50 [citado marzo 22, 2016]. Disponible en: http://www.who.int/diabetes/publications/Definition%20and%20diagnosis% 20of%20diabetes_new.pdf
Zhou X, Qiao Q, Ji L, Ning F, Yang W, Weng J, et al. Nonlaboratory-based risk assessment algorithm for undiagnosed Type 2 diabetes developed on a nation-wide diabetes survey. Diabetes Care. 2013;36:3944-52. https:// doi.org/10.2337/dc13-0593
Wang H, Liu T, Qiu Q, Ding P, He YH, Chen WQ. A Simple risk score for identifying individuals with impaired fasting glucose in the Southern Chinese population. Int J Environ Res Public Health. 2015;12:1237-52. https://doi.org/10.3390/ijerph120201237
Salinero-Fort MA, Burgos-Lunar C, Lahoz C, Mostaza JM, Abánades- Herranz JC, Laguna-Cuesta F, et al. Performance of the Finnish Diabetes Risk Score and a simplified Finnish Diabetes Risk Score in a community- Based, cross-Sectional programme for screening of undiagnosed Type 2 Diabetes Mellitus and Dysglycaemia in Madrid, Spain: The SPREDIA-2 Study. PLoS One. 2016;11(7):e0158489. https://doi.org/10.1371/journal. pone.0158489
Zhang L, Zhang Z, Zhang Y, Hu G, Chen L . Evaluation of Finnish Diabetes Risk Score in Screening Undiagnosed Diabetes and Prediabetes among U.S. Adults by Gender and Race: NHANES 1999-2010. PLoS One. 2014;9(5):e97865. https://doi.org/10.1371/journal.pone.0097865
Franciosi M, De Berardis G, Rossi MC, Sacco M, Belfiglio M, Pellegrini F, et al. Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes and impaired glucose tolerance: the IGLOO (Impaired Glucose Tolerance and Long-Term Outcomes Observational) study. Diabetes Care. 2005;28(5):1187-94. https://doi.org/10.2337/diacare.28.5.1187
Tankova T, Chakarova N, Atanassova I, Dakovska L. Evaluation of the Finnish Diabetes Risk Score as a screening tool for impaired fasting glucose, impaired glucose tolerance and undetected diabetes. Diabetes Res Clin Pract. 2011;92(1):46-52. https://doi.org/10.1016/j.diabres.2010.12.020
Arredondo A, Reyes G. Health Disparities from Economic Burden of Diabetes in Middle-income Countries: Evidence from México. PLoS One. 2013;8(7):e68443. https://doi.org/10.1371/journal.pone.0068443
Lugo-Palacios DG, Cairns J. The financial and health burden of diabetic ambulatory care sensitive hospitalisations in Mexico. Salud Publica Mex. 2016;58:33-40. https://doi.org/10.21149/spm.v58i1.7665
Gutiérrez JP, García-Saisó S, Espinosa-de la Peña R, Balandrán DA. Desigualdad en indicadores de enfermedades crónicas y su atención en adultos en México: análisis de tres encuestas de salud. Salud Publica Mex. 2016;58:666-75. https://doi.org/10.21149/spm.v58i6.7923