Comparative effectiveness of the FINDRISC and ADA scores to predict diabetes mellitus in the presence of predisposing factors
Keywords:
score, FINDRISC, ADA, diabetes mellitus, prediabetesAbstract
Background: Type 2 diabetes mellitus (DM2) is a chronic endocrine-metabolic disorder (Gagliardinoa, et al., 2016), characterized by hyperglycemia secondary to the combination of decreased insulin secretion and increased tissue resistance to the action of the same.
General Objective: To establish the efficacy of the FINDRISC and ADA scores to predict diabetes mellitus in patients with predisposing factors.
Methodology: The study is quantitative approach, non-experimental design, cross-sectional, observational and analytical method.
Results: The FINDRISC score classified 70.3% of the participants as having a high risk of diabetes mellitus, the variables with the greatest significance were age, first-degree family history, BMI, AC, arterial hypertension and glucose > 100mg/dl. The ADA test applied to the same individuals classified 64.2% as high risk, all of its variables with statistical significance except for the antecedent of gestational diabetes; good correlation with laboratory tests.
Conclusion: Easy-to-apply ADA test, in addition to predicting risk of diabetes mellitus 2, also allows establishing the diagnosis unlike the FINDRISC.
References
Acar, B., Ozeke, O., Karakurt, M., Ozen, Y., Ozbay, M., Unal, S., & Aydogdu, S. (2019). Association of Prediabetes With Higher Coronary Atherosclerotic Burden Among Patients With First Diagnosed Acute Coronary Syndrome. . Angiology, 70(2), 174-180.
Acosta et al. (2018). A demostration area for type 2 diabetes prevention in Barranquilla and Juan Mina (Colombia). Medicine, 97:1.
Al-Shudifat, A., Al-Shdaifat, A., Al-Abdouh, A., Aburoman, M., Otoum, S., Sweedan, A., & Johannessen, A. (2017). Diabetes Risk Score in a Young Student Population in Jordan: A Cross-Sectional Study. J Diabetes Res, 8290710.
American Diabetes Association. (2021). 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes. Diabetes Care, Volumen 44, Supplement 1.
Andreeva-Gateva, P. A., Konsulova, P., Orbetzova, M., Georgieva-Nikolova, R., Tafradjiiska-Hadjiolova, R., Angelova, V., . . . Simova, I. (2016). Differentiation of obese patients at moderate or higher Findrisc score based on their atherogenic index. Postgraduate Medicine, 790-796.
Antonela B. et al. (2017). Environmental Risk Factors for Type 1 Diabetes Mellitus Development. Exp Clin Endocrinol Diabetes.
Arellano-Campos, O., Gómez-Velasco, V., Bello-Chavolla, O., Cruz-Bautista, I., Melgarejo-Hernandez, M., Muñoz-Hernandez, L., & Guillen, L. e. (2019). Development and validation of a predictive model for incident type 2 diabetes in middle-aged Mexican adultos: the metabolic syndrome cohort. BMC Endocrine Disorders, 19:41.
Barmpari, M., Savvidis, C., Dede, A., Markogiannakis, H., Dikoglou, C., Xekouki, P., . . . Malaktari-Skarantavou, S. (2016). Adrenal malignant melanoma masquerading as a pheochromocytoma in a patient with a history of a multifocal papillary and medullary thyroid carcinoma. Hormones, 283-290.
Bernabe-Ortiz, A., Perel, P., Miranda, J., & Smeeth, L. (2018). Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population. Primary Care Diabetes, 517–525.
Bo A, et al. (2018). Early-onset type 2 diabetes: age gradient in clinical and behavioural risk factors in 5115 persons with newly diagnosed type 2 diabetes--results from the DD2 study. Diabetes Metab Res Rev, 34; e2968.
Breeze, P., Thomas, C., Squires, H., Brennan, A., Greaves, C., Diggle, P., & Chilcott, J. (2017). The impact of Type 2 diabetes prevention programmes based on risk-identification and lifestyle intervention intensity strategies: a cost-effectiveness analysis. Diabet Med, 34(5), 632-640.
Campos, N., & Palomino, G. (2018). FINDRISC, utilidad en el screening de diabetes, personalización y asociaciones. Facultad de Medicina Humana URP, 64-74.
Christine, E., Krabble, M., Schipf, S., Ittermann, T., Dorr, M., & Nauck, M. (2017). Comparison of Traditional Diabetes Risk Scores and HbA1c to Predict Type 2 Diabetes Mellitus in a population based cohort study. Journal of Diabetes and Its Complications, 1-28.
Costa, B., Castell, C., Cos, X., Solé, C., Mestre, S., Canela, M., . . . Lindström, J. (2016). Rationale and design of the DP-TRANSFERS project: diabetes prevention-transferring findings from European research to society in Catalonia. Journal of Translational Medicine, 1-12.
Fizelova, M., Jauhiainen, R., Stancakova, A., Kuusisto, J., & Laakso, M. (2016). Finnish Diabetes Risk Score Is Associated with Impaired Insulin Secretion and Insulin Sensitivity, Drug-Treated Hypertension and Cardiovascular Disease: A Follow-Up Study of the METSIM Cohort. PLoS One, 11(11) e0166584.
Fornos, J., Andrés, F., Andrés, C., Luna, R., García, J., Lorenza, B., . . . García, R. (2016). Detección de personas en riesgo de padecer diabetes en farmacias comunitarias de Pontevedra (DEDIPO). Endocrinología y Nutrición, 387-396.
Gagliardino, J., Elgart, J., Bourgeois, M., Etchegoyen, G., Fantuzzi, G., & Spinedi, E. (2018). Diabetes primary prevention program: New insights from data analysis of recruitment period. Diabetes Metab Res Rev, 34(1).
Gagliardinoa, J. J., Etchegoyenb, G., Bourgeoisb, M., Fantuzzia, G., García, S., Gonzáleza, L., . . . Spinedia, E. (2016). Prevención primaria de diabetes tipo 2 en Argentina. Endocrinología y metabolismo , 135-141.
Gilis-Januszewska, A., Lindstrom, J., Tuomilehto, J., Piwonska-Solska, B., Topor-Madry, R., Szybinski, Z., & Hubalewska-Dydejczyk, A. (2017). Sustained diabetes risk reduction after real life and primary health care setting implementation of the diabetes in Europe prevention using lifestyle, physical activity and nutritional intervention (DE-PLAN) project. BMC Public Health, 17(1), 198.
Gomez-Arbelaez, D., Alvarado-Jurado, L., Ayala-Castillo, M., Forero-Naranjo, L., Camacho, P., & Lopez-Jaramillo, P. (2015). Evaluation of the Finnish Diabetes Risk Score to predict type 2 diabetes mellitus in a Colombian population: A longitudinal observational study. World Journal of Diabetes, 6(17): 1337-1344.
Haw JS, Galaviz Kl, Straus AN et al. . (2017). Long-term sustainability of diabetes prevention approaches: a systematic review and meta-analysis of randomized clinical trials. JAMA Intern Med, Vol. 12: 1808-1817.
Hellgre, M., Daka, B., & Jansson, P.-A. (2015). Primary care screening for individuals with impaired glucose metabolism with focus on impaired glucose tolerance. Primary Care Diabetes, 261-266.
Hu Sophia, H., Fu Mei, R., Liu, S., Lin, Y., & Chang, W. (2018). CE: Original Research: Physical Activity Among Chinese American Immigrants with Prediabetes or Type 2 Diabetes. Am J Nurs , 118(2), 24-32. doi:10.1097/01.NAJ.0000530221.87469.86.
International Diabetes Federation. (2018). What is diabetes. Obtenido de What is diabetes Web Site: https://www.idf.org/about-diabetes/what-is-diabetes/html
Ishaque, A., Shahzad, F., Muhammad, F., Usman, Y., & Ishaque, Z. (2016). Diabetes risk assessment among squatter settlements in Pakistan: A cross-sectional study. Malays Fam Physician, 11(2-3), 9-15.
Johnson, E., Rhinehart, A., Leal, S., & Shubrook, J. (2019). Standards of Medical Care in Diabetes—2020 Abridged for Primary Care Providers. DOI: 10.2337/cd20-as01: Clinical Diabetes.
Jolle, A., Midthjell, K., Holmen, J., Tuomilehto, J., Carlsen, S., Shaw, J., & Asvold, B. O. (2016). Impact of sex and age on the performance of FINDRISC: the HUNT Study in Norway. BMJ Open Diabetes Res Care, 4(1), e000217.
Kadiki OA, Reddy MRS, Marzouk AA. (1996). Incidence of insulin-dependent diabetes (IDDM) y non-insulin-dependent diabetes (NIDDM) in Benghazi. Diabetes Res Clin Pract, 32; 165-73.
Knowler WC, Barrett-Connor E, Fowler SE et al. (2002). Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. . N Engl J Med, 346(6):393- 403.
Kraniotoua, C., Karadimaa, V., Bellosa, G., & Tsangarisb, G. T. (2018). Predictive biomarkers for type 2 of diabetes mellitus. Journal of Proteomics, 2-4.
Kulkarni, M., Foraker, R., McNeill, A., Girman, C., Golden, S., Rosamond, W., & Tuomilehto, J. (2017). Evaluation of the modified FINDRISC to identify individuals at high risk for diabetes among middle-aged white and black ARIC study parti. Diabetes Obes Metab, 19(9), 1260-1266.
Lascar, N., Brown, J., Pattison, H., Barnett, A., Bailey, C., & Bellary, S. (2018). Type 2 diabetes in adolescents and young adults. Lancet Diabetes Endocrinol., 69-80.
Laurence Katznelson, E. R. (2014). Recuperado el 01 de 06 de 2018, de American Association of Clinical Endocrinologists Medical Guidelines for Clinical Practice.: https://www.aace.com/files/acromegaly-guidelines.pdf.
Li G, Zhang P, Wang J et al. (2008). The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. . Lancet, 371(9626):1783-1789.
Liu, H. H., Cao, Y. X., Li, S., Guo, Y. L., Zhu, C. G., Wu, N. Q., & Li, J. J. (2018). Impacts of Prediabetes Mellitus Alone or Plus Hypertension on the Coronary Severity and Cardiovascular Outcomes. Hypertension, 71(6), 1039-1046.
López-Bastida J. et al. (Abril de 2019). Calidad de vida relacionada con la salud en pacientes pediátricos con diabetes mellitus tipo 1 y sus cuidadores en España. Investigación médica actual y opinión.
Lotfaliany, M., Hadaegh, F., Asgari, S., Mansournia, M. A., Azizi, F., Oldenburg, B., & Khalili, D. (2019). Non-invasive Risk Prediction Models in Identifying Undiagnosed Type 2 Diabetes or Predicting Future Incident Cases in the Iranian Population. Arch Iran Med, 22(3), 116-124.
M. Abdul Basith Khan et al. (2020). Epidemiology of Type 2 Diabetes - Global Burden of Disease and Forecasted Trends. Journal of Epidemiology and Global Health, Vol 10(1) 107-111.
Mamani-Espinoza, F., Cusipaucar-Uscamalta, G., Scherman-Razzeto, J., & De La Cruz-Vargas, J. (2018). Medicina de estilo de vida y riesgo de desarrollar diabetes mellitus en personal de la Clínica Good Hope, Lima-Perú, 2017. Rev. Fac. Med. Hum., 18(1):16-21.
Manios, Y., Androutsos, O., Lambrinou, C. P., Cardon, G., Lindstrom, J., Annemans, L., & Makrilakis, K. (2018). A school- and community-based intervention to promote healthy lifestyle and prevent type 2 diabetes in vulnerable families across Europe: design and implementation of the Feel4Diabetes-study. Public Health Nutr, 21(17), 3281-3290.
Mansour, M. A. (2020). The Prevalence and Risk Factors of Type 2 Diabetes Mellitus (DMT2) in a Semi-Urban Saudi Population. International Journal Environmental Research and Public-Health, 17,7.
Marto, J. P., Saraiva, M., Ladeira, F., Sa, F., Calado, S., & Viana-Baptista, M. (2018). Prediabetes Is Associated with Unfavorable Outcome in Young Adult Patients with Ischemic Stroke. J Stroke Cerebrovasc Dis, 27(2), 352-356.
Maurice, J., & Godderis, L. (2015). Evaluation of the finnish diabetes risk score (FINDRISC) for diabetes screening in occupational health care. . International Journal of Occupational Medicine and Environmental Health, 587–591.
Mavrogianni, C., Lambrinou, C. P., Androutsos, O., Lindstrom, J., Kivela, J., & Cardon, G. (2019). Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort. The Feel4Diabetes-study. Diabetes Res Clin Pract, 150, 99- 110.
Mbanya, V., Hussain, A., & Pascal, A. (2016). Application and applicability of non-invasive risk models for predicting undiagnosed prevalen diabetes in Africa. Primary Care Diabetes, 318-327.
Milavanovic, S., Silenzi, A., Kheriaoui, F., Ventriglia, G., Boccia, S., & Poscia, A. (2018). Detecting persons al risk for diabetes mellitus type 2 using FINDRISC: results from a community pharmacy-based study. European Journal of Public Health, 1-6.
Moldobaeva, M. S., Vinogradova, A. V., & Esenamanova, M. (2017). Risk of Type 2 Diabetes Mellitus Development in the Native Population of Low- and High-Altitude Regions of Kyrgyzstan: Finnish Diabetes Risc Score Questionnaire Results. High Alt Med Biol, 18(4), 428-435.
Muñoz-González, M., Lima-Martínez, M., Gisuardo Trerotola, A., Paoli, M., Cabrera Rego, J., González, B., . . . Paez, J. (2019). FINDRISC Modified for Latin America as a Screening Tool for Person with Impaired Glucose Metabolism in Ciudad Bolívar, Venezuela. Medical Principles and Practice, DOI: 10.1159/000499468.
MV Informática Nordeste. (2016). ¿Registro Clínico Electrónico o en papel? ¿Cuál la mejor opción para el médico y el paciente? Obtenido de ¿Registro Clínico Electrónico o en papel? ¿Cuál la mejor opción para el médico y el paciente? Web Site: http://www.mv.com.br/es/blog/-registro-clinico-electronico-o-en-papelr--cual-la-mejor-opcion-para-el-medico-y-el-pacienter
Nagy, B., Zsolyom, A., Nagyjanosi, L., Meresz, G., Steiner, T., Papp, E., & Voko, Z. (2016). Cost-effectiveness of a risk-based secondary screening programme of type 2 diabetes. Diabetes Metab Res Rev, 32(7), 710-729.
Nichols J. et al. (2017). A Canadian Cross-Sectional Survey on Psychosocial Supports for People Living Type 1 or 2 Diabetes. Canadian Journal of Diabetes, 1-8. Obtenido de A Canadian Cross-Sectional Survey on Psychosocial Supports for People Living Type 1 or 2 Diabetes.
Nieto-Martinez, R., Gonzalez-Rivas, J., Aschner, P., Barengo, N., & Mechanick, J. (2017). Transculturalizing Diabetes Prevention in Latin America. Ann Glob Health, 83(3- 4), 432-443. doi:10.1016/j.aogh.2017.07.001.
Organización Mundial de la Salud, Unión Internacional de Telecomunicaciones. (2012). Conjunto de herramientas para estretegia de eSalud nacional. Ginebra: OMS.
Paulino, M., Jiang, Y., & al, e. (2017). Evaluating FINDRISC as a screening tool for type 2 diabetes among overweight adults in the PREVIEW. Primary Care Diabetes, 1-9.
Pinchevsky, Y., Butkow, N., Raal, F., Chirwa, T., & Rothberg, A. (2020). Demographic and Clinical Factors Associated with Development of Type 2 Diabetes: A Review of th Literature. International Journal of General Medicine, 13:121-129.
Portilla-Cortez, R. (2017). Factores asociados para el desarrollo de diabetes mellitus tipo 2 y su relación con la condición socio-económica en adultos del barrio Pueblo Unido de la ciudad de Quito de abril a septiembre del 2016. Quito: Universidad Central de Ecuador.
Prabhu, G., Poovitha, M., & Jayasri, S. (2019). To Determine the Usefulness of ADA Risk Score to Predict T2dm/PreDiabetes in South Indian Rural Population. International Journal of Contemporary Medical Research , Vol 6, Issue 8.
Quezada C., Zhunio M. (2015). Diabetes Mellitus tipo 2-enfermería: conocimientos, actitudes y práctica en salud; pacientes ambulatorios-educación. Universidad de Cuenca., Cuenca.
Ramesh Sharma Poudel et al. (Nov de 2017). Assessment of Insulin Injection Practice among Diabetes Patients in a Tertiary Healthcare Centre in Nepal: A Preliminary Study. Journal of Diabetes Research.
Real J. et al. (2017). Diabetes mellitus en pacientes atendidos en el hospital Universitario: Caracterización epidemiológica. Revista científica INSPILIP V. Guayaquil., 1-16.
Reis JP, Loria CM, Sorlie PD, Park Y, Hollenbeck A, Schatzkin A. (2011). Lifestyle factors and risk for new-onset diabetes: a population-based cohort study. Ann Intern Med., 155(5):292.
Salinero-Fort, M. A., Burgos-Lunar, C., Lahoz, C., Mostaza, J. M., Abanades-Herranz, J., Laguna-Cuesta, F., & Group, S. (2016). 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, 11(7), e0158489.
Sanchez, A., Silvestre, C., Campo, N., Grandes, G., & Pre, D. E. (2018). Effective translation of a type-2 diabetes primary prevention programme into routine primary care: The PreDE cluster randomised clinical trial. Diabetes Res Clin Pract, 139, 32-4.
Sánchez-Jiménez B et al. . (2019). Detección de riesgo de diabetes tipo 2 y su relación con alteraciones metabólicas en enfermeras. Rev. Latino-Am. Enfermagem, Vol 27. ISSN 1518-8345.
Scicali, R., Giral, P., Gallo, A., Di Pino, A., Rabuazzo, A. M., Purrello, F., & Rosenbaum, D. (2016). HbA1c increase is associated with higher coronary and peripheral atherosclerotic burden in non diabetic patients. Atherosclerosis, 255, 102-108.
Skyler, J., Bakris, G., Bonifacio, E., Darsow, T., Eckel, R., Groop, L., . . . Ratner, R. (2017). Differentiation of Diabetes by Pathophysiology, Natural History, and Prognosis. Diabetes, 241-255.
Srugo, S., De Groh, M., & Jiang, Y. (2019). Evaluating the utility of self-reported questionnaire data to screen for dysglycemia in young adults. Preventive Medicine, 50- 59.
Stiglic, G., Kocbek, P., Cilar, L., Fijacko, N., Stozer, A., Zaletel, J., & Povalej Brzan, P. (2018). Development of a screening tool using electronic health records for undiagnosed Type 2 diabetes mellitus and impaired fasting glucose detection in the Slovenian population. Diabet Med, 35(5), 640-649.
Sun, Y., You, W., Almeida, F., Estabrooks, P., & Davy, B. (2017). The effectiveness and cost of lifestyle interventions including nutrition education for Diabetes prevention. Journal of the academy of nutrition and dietetics, 404-421.
Terrasson J. et al. (2017). Association between quality of life of adolescents with type 1 diabetes and parents`illness perception as evaluated by adolescents. Psychology, Health & Medicine.
Torres, A., & Santistevan, A. (2019). Aplicación del test de FINDRISC para la detección del riesgo de diabetes mellitus tipo II y su relación con el estilo de vida en pacientes adultos en el sector Lucha Obrera, Babahoyo PARA LA DETECCIÓN DEL RIESGO. Bahahoyo: Universidad Técnica de Babahoyo.
Wang, A., Chen, G., Su, Z., Xiaoxue, L., Xiangtong, L., & Haibin, L. (2016). Risk scores for predicting incidence of type 2 diabetes in the Chinese population. Scientific Reports, 1-10.
Wu, H., Yang, S., Huang, Z., He, J., & Wang, X. (2018). Type 2 diabetes mellitus prediction model based on data mining. Informatics in Medicine Unlocked, 1-11.
Yanbo Zhang et al. (2020). Combined lifestyle factors and risk of incident type 2 diabetes and prognosis among individuals with type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. Diabetologia, 63:21-33.
Zhao, J., Zhu, Y., Hyun, N., Zeng, D., Uppal, K., Tran, V., . . . Howard, B. (2015). Novel metabolic markers for the risk of diabetes development in American Indians. Diabetes Care, 220-227.
