Performance of the Finnish Diabetes Risk Score (FINDRISC) in the Identification of Dysglycemia in an Urban Population in Ouagadougou (Burkina Faso) — Oak Academic Publishing
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Performance of the Finnish Diabetes Risk Score (FINDRISC) in the Identification of Dysglycemia in an Urban Population in Ouagadougou (Burkina Faso)
Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
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Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
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Institute for Research in Health Sciences/National Center for Scientific and Technical Research, Ouagadougou, Burkina Faso
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Department of Internal Medicine, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso
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Higher Institute of Health Sciences/Nazi BONI University, Bobo Dioulasso, Burkina Faso
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Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
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Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
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Department of Internal Medicine, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso
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Department of Internal Medicine, Bogodogo Teaching Hospital, Ouagadougou, Burkina Faso
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Department of Internal Medicine, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso
1 Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
2 Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
3 Institute for Research in Health Sciences/National Center for Scientific and Technical Research, Ouagadougou, Burkina Faso
4 Department of Internal Medicine, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso
5 Higher Institute of Health Sciences/Nazi BONI University, Bobo Dioulasso, Burkina Faso
6 Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
7 Training and Research Unit in Health Sciences, Joseph Ki ZERBO University, Ouagadougou, Burkina Faso
8 Department of Internal Medicine, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso
9 Department of Internal Medicine, Bogodogo Teaching Hospital, Ouagadougou, Burkina Faso
10 Department of Internal Medicine, Yalgado Ouedraogo Teaching Hospital, Ouagadougou, Burkina Faso
Background: Diabetes mellitus is a real public health problem worldwide and is growing in developing countries. Our aim was to determine the prevalence of undiagnosed type 2 diabetes mellitus (T2DM) and to evaluate the performance of the Finnish Diabetes Risk Score (FINDRISC) questionnaire to identify type 2 diabetics in the urban population of Ouagadougou, Burkina Faso. Methodology: This was a cross-sectional study among volunteers aged 18 years and older recruited systematically from November 11 to 16, 2019, in the city of Ouagadougou, Burkina Faso, FINDRISC score was used. Analysis of the Receiver Operating Characteristic (ROC) curve was used to study the diagnostic performance of FINDRISC for the identification of type 2 diabetics. The optimal threshold was determined by the sum of the highest sensitivity and specificity. Multivariate logistic regression was used to analyze the association of each variable used in the calculation of the FINDRISC score. Results: A total of 1276 individuals were included in the analyses, of which 667 (52.27%) were women. The average age was 34.16 years (SD: ±12.42). The prevalence of T2DM was 10.74%. The mean FINDRISC score was 5.85 (SD: ±4.31). The majority (58.54%) of individuals had a low risk of diabetes according to the FINDRISC score 0 - 7, while 3.61% had a score ≥ 15. The FINDRISC score showed good performance (AUC = 0.70) in identifying undiagnosed type 2 diabetics. However, the variables in the score that best predicted the likelihood of being diabetic were age (p < 0.001), daily physical activity (p = 0.004), use of antihypertensive medication (p = 0.007) and waist circumference (p < 0.001). The optimal cut-off score ≥ 7 was the best predictor of the likelihood of having T2DM. Conclusion: The Finnish Risk Score (FINDRISC) is a good predictor of the risk of dysglycemia in Burkina Faso. It is a score to be promoted in daily clinical practice because it is easy to use, affordable and non-invasive. Further studies are needed to make modifications to the FINDRISC questionnaire in case it is applied to other ethnic groups.
KeywordsIdentificationDiabetes Type 2FINDRISCPerformanceBurkina Faso
Asmelash, D. and Asmelash, Y. (2019) The Burden of Undiagnosed Diabetes Mellitus in Adult African Population: A Systematic Review and Meta-Analysis. Journal of Diabetes Research, 2019, Article ID: 4134937. https://doi.org/10.1155/2019/4134937
Animaw, W. and Seyoum, Y. (2017) Increasing Prevalence of Diabetes Mellitus in a Developing Country and Its Related Factors. PLoS ONE, 12, e0187670. https://doi.org/10.1371/journal.pone.0187670
Mathers, C.D. and Loncar, D. (2006) Projections of Global Mortality and Burden of Disease from 2002 to 2030. PLoS Medicine, 3, e442. https://doi.org/10.1371/journal.pmed.0030442
Diop, S.N., Djrolo, F., Traoré Sidibé, A., Baldé, N.M., Monabeka, H.G. and Epaka, M.E. (2019) Consensus pour la prise en charge de l’hyperglycémie dans le diabète de type 2 en Afrique subsaharienne. Rédigé par un groupe d’experts africains du diabète. Médecine des Maladies Métaboliques, 13, 210-216. https://doi.org/10.1016/S1957-2557(19)30057-4
Roglic, G. and World Health Organization (2016) Global Report on Diabetes. World Health Organization, Geneva, 86.
Gakidou, E., Mallinger, L., Abbott-Klafter, J., Guerrero, R., Villalpando, S. and Ridaura, R.L. (2011) Management of Diabetes and Associated Cardiovascular Risk Factors in Seven Countries: A Comparison of Data from National Health Examination Surveys. Bulletin of the World Health Organization, 89, 172-183. https://doi.org/10.2471/BLT.10.080820
Organisation mondiale de la Santé (OMS) (2014) Burkina Faso_2013_STEPS_Report. OMS, 10-363-A-10, 81.
Paulweber, B., Valensi, P., Lindström, J., Lalic, N.M., Greaves, C.J. and McKee, M. (2010) A European Evidence-Based Guideline for the Prevention of Type 2 Diabetes. Hormone and Metabolic Research, 42, 3-36. https://doi.org/10.1055/s-0029-1240928
Alberti, K.G., Zimmet, P. and Shaw, J. (2007) International Diabetes Federation: A Consensus on Type 2 Diabetes Prevention. Diabetic Medicine, 24, 451-463. https://doi.org/10.1111/j.1464-5491.2007.02157.x
Lindström, J. and Tuomilehto, J. (2003) The Diabetes Risk Score: A Practical Tool to Predict Type 2 Diabetes Risk. Diabetes Care, 26, 725-731. https://doi.org/10.2337/diacare.26.3.725
International Diabetes Federation (2018) Recommendations for Managing Type 2 Diabetes in Primary Care—2017. Classification and Diagnosis of Diabetes. Standards of Medical Care in Diabetes—2018. Diabetes Care, 41, 13-27.
Ryden, L., Grant, P.J., Anker, S.D., Berne, C. and Cosentino, F. (2013) ESC Guidelines on Diabetes, Pre-Diabetes, and Cardiovascular Diseases Developed in Collaboration with the EASD: The Task Force on Diabetes, Pre-Diabetes, and Cardiovascular Diseases of the European Society of Cardiology (ESC) and Developed in Collaboration with the European Association for the Study of Diabetes (EASD). European Heart Journal, 34, 3035-3087. https://doi.org/10.1093/eurheartj/eht108
Khunti, K., Gillies, C.L., Taub, N.A., Mostafa, S.A., Hiles, S.L. and Abrams, K.R. (2012) A Comparison of Cost per Case Detected of Screening Strategies for Type 2 Diabetes and Impaired Glucose Regulation: Modelling Study. Diabetes Research and Clinical Practice, 97, 505-513. https://doi.org/10.1016/j.diabres.2012.03.009
Costa, B., Barrio, F., Pinol, J.L., Cabre, J.J., Mundet, X. and Sagarra, R. (2013) Shifting from Glucose Diagnosis to the New HbA1c Diagnosis Reduces the Capability of the Finnish Diabetes Risk Score (FINDRISC) to Screen for Glucose Abnormalities within a Real-Life Primary Healthcare Preventive Strategy. BMC Medicine, 11, 45. https://doi.org/10.1186/1741-7015-11-45
Franciosi, M., De Berardis, G., Rossi, M.C., Sacco, M., Belfiglio, M. and Pellegrini, F. (2005) 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, 28, 1187-1194. https://doi.org/10.2337/diacare.28.5.1187
Li, J., Bergmann, A., Reimann, M., Bornstein, S.R. and Schwarz, P.E. (2009) A More Simplified Finnish Diabetes Risk Score for Opportunistic Screening of Undiagnosed Type 2 Diabetes in a German Population with a Family History of the Metabolic Syndrome. Hormone and Metabolic Research, 41, 98-103. https://doi.org/10.1055/s-0028-1087191
Makrilakis, K., Liatis, S., Grammatikou, S., Perrea, D., Stathi, C. and Tsiligros, P. (2011) Validation of the Finnish Diabetes Risk Score (FINDRISC) Questionnaire for Screening for Undiagnosed Type 2 Diabetes, Dysglycaemia and the Metabolic Syndrome in Greece. Diabetes & Metabolism, 37, 144-151. https://doi.org/10.1016/j.diabet.2010.09.006
Saaristo, T., Peltonen, M., Lindstrom, J., Saarikoski, L., Sundvall, J. and Eriksson, J.G. (2005) Cross-Sectional Evaluation of the Finnish Diabetes Risk Score: A Tool to Identify Undetected Type 2 Diabetes, Abnormal Glucose Tolerance and Metabolic Syndrome. Diabetes and Vascular Disease Research, 2, 67-72. https://doi.org/10.3132/dvdr.2005.011
Salinero-Fort, M.A., Burgos-Lunar, C., Lahoz, C., Mostaza, J.M., Abanades-Herranz, J.C. and Laguna-Cuesta, F. (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, e0158489. https://doi.org/10.1371/journal.pone.0158489
Tankova, T., Chakarova, N., Atanassova, I. and Dakovska, L. (2011) Evaluation of the Finnish Diabetes Risk Score as a Screening Tool for Impaired Fasting Glucose, Impaired Glucose Tolerance and Undetected Diabetes. Diabetes Research and Clinical Practice, 92, 46-52. https://doi.org/10.1016/j.diabres.2010.12.020
Alssema, M., Vistisen, D., Heymans, M.W. and DETECT-2 Collaboration (2011) The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) Update of the Finnish Diabetes Risk Score for Prediction of Incident Type 2 Diabetes. Diabetologia, 54, 1004-1012. https://doi.org/10.1007/s00125-010-1990-7
Mbanya, V., Hussain, A. and Kengne, A.P. (2015) Application and Applicability of Non-Invasive Risk Models for Predicting Undiagnosed Prevalent Diabetes in Africa: A Systematic Literature Search. Primary Care Diabetes, 9, 317-329. https://doi.org/10.1016/j.pcd.2015.04.004
Omech, B., Mwita, J.C., Tshikuka, J.-G., Tsima, B., Nkomazna, O. and Kennedy, A.-P. (2016) Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana. Journal of Diabetes Research, 2016, Article ID: 4968350. https://doi.org/10.1155/2016/4968350
Olamoyegun, A.M., Oluyombo, R. and Iwuala, O.S. (2017) The Performance of the Finnish Diabetes Risk Score (FINDRISC) Questionaire for Screening Individuals with Undiagnosed Type 2 Diabetes and Dysglycaemia in Nigeria. British Journal of Medicine & Medical Research, 19, 1-8. https://doi.org/10.9734/BJMMR/2017/31022
Metonnou-Adanhoume, C.G., Agueh, V., Azandjeme, C.S., Sossa, C.J., Kpozehouen, A., Hessou, J., Darboux, J. and Paraïso, M.N. (2019) Optimal Threshold of the Finnish Diabetes Risk Score (FINDRISC) for Screening At-Risk Adults in an African Population in Southern Benin. Universal Journal of Public Health, 7, 63-72. https://doi.org/10.13189/ujph.2019.070204
Azzouz, M., Boudiba, A., Guerchani, M.K., Lyes, Y., Hannachi, R., Baghous, H., Meftah, A. and Mimouni, S. (2014) Apport du score de risque finlandais FINDRISC dans l’identification de la dysglycemie dans une population algeroise, Algerie. Médecine des maladies Métaboliques, 8, 532-538. https://doi.org/10.1016/S1957-2557(14)70877-6
Alberti, K.G.M.M., Zimmet, P. and Shaw, J. (2005) The Metabolic Syndrome—A New Worldwide Definition. The Lancet, 366, 1059-1062. https://doi.org/10.1016/S0140-6736(05)67402-8
Millogo, T., Bicaba, B.W., Soubeiga, J.K., Dabiré, E., Médah, I. and Kouanda, S. (2018) Diabetes and Abnormal Glucose Regulation in the Adult Population of Burkina Faso: Prevalence and Predictors. BMC Public Health, 18, 350. https://doi.org/10.1186/s12889-018-5257-4
Kosaka, K., Noda, M. and Kuzuya, T. (2005) Prevention of Type 2 Diabetes by Lifestyle Intervention: A Japanese Trial in IGT Males. Diabetes Research and Clinical Practice, 67, 152-162. https://doi.org/10.1016/j.diabres.2004.06.010
Lindström, J., Peltonen, M. and Eriksson, J.G. (2008) Determinants for the Effectiveness of Lifestyle Intervention in the Finnish Diabetes Prevention Study. Diabetes Care, 31, 857-862. https://doi.org/10.2337/dc07-2162
Pan, X.R., Li, G.W. and Hu, Y.H. (1997) Effects of Diet and Exercise in Preventing NIDDM in People with Impaired Glucose Tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care, 20, 537-544. https://doi.org/10.2337/diacare.20.4.537
Bagbila, W.P., Naone, M., Yaméogo, T.M., Kyelem, C.G., Sagna, Y., Ilboudo, A., Ouédraogo, S.M. and Drabo, Y.J. (2019) Score clinique finlandais de risque de diabète de type 2 et facteurs de risque en milieu estudiantin au Burkina Faso. Médecine des maladies Métaboliques, 13, 459-463. https://doi.org/10.1016/S1957-2557(19)30126-9
American Diabetes Association (2015) Classification and Diagnosis of Diabetes. Diabetes Care, 38, S8-S16. https://doi.org/10.2337/dc15-S005
Mavrogianni, C., Lambrinou, C.-P., Androutsos, O., Lindström, J., Kivelä, J., Cardon, G., Huys, N., Tsochev, K., Iotova, V., Chakarova, N., Rurik, I., Moreno, L.A., Liatis, S., Makrilakis, K. and Manios, Y. (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 Feel4-Diabetes-Study. Diabetes Research and Clinical Practice, 150, 99-110. https://doi.org/10.1016/j.diabres.2019.02.017
Salinero-Fort, M.Á., De Burgos-Lunar, C., Mostaza Prieto, J., Lahoz Rallo, C., Abánades-Herranz, J.C., Gómez-Campelo, P., et al. (2015) Validating Prediction Scales of Type 2 Diabetes Mellitus in Spain: The SPREDIA-2 Population-Based Prospective Cohort Study Protocol. BMJ Open, 5, e007195. https://doi.org/10.1136/bmjopen-2014-007195
Schmid, R., Vollenweider, P. and Waeber, G. (2011) Estimating the Risk of Developing Type 2 Diabetes: A Comparison of Several Risk Scores. Diabetes Care, 34, 1863-1868. https://doi.org/10.2337/dc11-0206