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Predictive Score of Prolonged Poor Glycemic Control in Type 2 Diabetic Patients Followed in Hospital in Burkina Faso

Received: 11 September 2022     Accepted: 5 October 2022     Published: 18 October 2022
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Abstract

Introduction: Achieving and maintaining optimal glycemic targets can be difficult because of several factors that make uncontrolled diabetes a public health problem. The objective of this study was to propose a predictive score for prolonged poor glycemic control in the type 2 diabetes cohort. Methodology: This was a secondary data analysis of a cross-sectional study. The dependent variable was prolonged poor glycemic control. The modality of the variable with the lowest adjusted OR in the model was assigned a point. The points of the other modalities were weighted proportionally to this variable. Logistic regression was performed and tested by a ROC curve. Results: 270 patients were included in the study. In multivariate analysis, low educational level (OR=8.34, CI95% [1.97-35.22]); family support for diabetes management (OR=0.65, CI95% [0.45-0.94]); abdominal obesity (OR=2.27, CI 95% [1.08-4.77]); a history of hospitalization (OR=7.39, CI95% [2.97-18.39]); poor adherence to treatment (OR=2.97, CI 95% [1.42-6.18]); and microangiopathy (OR=5.05, CI 95% [2.36-10.81]) were factors independently associated with prolonged poor diabetes control. A score greater than or equal to 45 was found in this study. The sensitivity and the specificity in our study were respectively 78.89% and of 84.51% with a good performance (AUC= 0.87). Conclusion: The Predictive score is made up of a triad of patient, family and caregiver factors. All of these components are modifiable factors.

Published in American Journal of Internal Medicine (Volume 10, Issue 5)
DOI 10.11648/j.ajim.20221005.12
Page(s) 96-102
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Predictive Score, Prolonged Poor Glycemic Control, Type 2 Diabetes, Ouagadougou

References
[1] Aschner P, Gagliardino JJ, Ilkova H, Lavalle F, Ramachandran A, Mbanya JC, and al. Persistent poor glycaemic control in individuals with type 2 diabetes in developing countries: 12 years of real-world evidence of the International Diabetes Management Practices Study (IDMPS). Diabetologia 2020; 63 (4): 711-21.
[2] Gazzaz ZJ, Iftikhar R, Jameel T, Baig M, Murad MA. Association of Dyslipidemia and Comorbidities with Risk Factors Among Diabetic Patients: A Retrospective Analysis. Diabetes Metab Syndr Obes Targets Ther 2020; (13): 935-41.
[3] Achila OO, Ghebretinsae M, Kidane A, Simon M, Makonen S, Rezene Y. Factors Associated with Poor Glycemic and Lipid Levels in Ambulatory Diabetes Mellitus Type 2 Patients in Asmara, Eritrea: A Cross-Sectional Study. J Diabetes Res 2020: 1-12.
[4] Anioke IC, Ezedigboh AN, Dozie-Nwakile OC, Chukwu IJ, Kalu PN. Predictors of poor glycemic control in adult with type 2 diabetes in South-Eastern Nigeria. Afr Health Sci 2019; 19 (4): 2819-28.
[5] Camara A, Baldé NM, Sobngwi-Tambekou J, Kengne AP, Diallo MM, Tchatchoua APK, and al. Poor glycemic control in type 2 diabetes in the South of the Sahara: The issue of limited access to an HbA1c test. Diabetes Res Clin Pract 2015; 108 (1): 187-92.
[6] Belhadj M, Arbouche Z, Brouri M, Malek R, Semrouni M, Zekri S, and al. Algeria Barometer: National survey on the management of people with diabetes. Med Mal Metab 2019; 13 (2): 188-94.
[7] Ben El Mostafa S, Boutayeb W, Zitouni N, Maamri A. Factors associated with poor glycemic control in type 2 diabetics in northeastern Morocco: about 80 cases. Annals of Health Sciences 2019; 22 (1): 1-14.
[8] Buse JB, Wexler DJ, Tsapas A, Rossing P, Mingrone G, Mathieu C, and al. 2019 Update to: Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care 2020; 43 (2): 487-93.
[9] IDF Diabetes Atlas 9th edition 2019 [Internet]. [cited 2020 June 24]. Available from: https://www.diabetesatlas.org/en/
[10] Darmon P, Bauduceau B, Bordier L, Charbonnel B, Cosson E, Detournay B, and al. Position paper of the French-speaking Diabetes Society (SFD) on the drug management of hyperglycemia in patients with type 2 diabetes-2019. Med Mal Metab 2019; 13 (8): 711-32.
[11] Diop SN, Djrolo F, Traoré Sidibé A, Baldé NM, Monabeka HG, Epaka ME, and al. Consensus for the management of hyperglycemia in type 2 diabetes in sub-Saharan Africa. Written by a group of African diabetes experts. Med Mal Metab 2019; 13 (2): 210-6.
[12] Hai AA, Iftikhar S, Latif S, Herekar F, Patel MJ. Diabetes Self-care Activities and Their Relation with Glycemic Control in Patients Presenting to The Indus Hospital, Karachi. Cureus 2019; 11 (2): e6297.
[13] Demoz GT, Gebremariam A, Yifter H, Alebachew M, Niriayo YL, Gebreslassie G, and al. Predictors of poor glycemic control among patients with type 2 diabetes on follow-up care at a tertiary healthcare setting in Ethiopia. BMC Res Notes 2019; 12 (1): 207-13.
[14] Afroz A, Ali L, Karim MN, Alramadan MJ, Alam K, Magliano DJ, and al. Glycaemic Control for People with Type 2 Diabetes Mellitus in Bangladesh - An urgent need for optimization of management plan. Scientific Reports 2019; 9 (1): 10248-57.
[15] De Pablos-Velasco P, Parhofer KG, Bradley C, Eschwège E, Gönder-Frederick L, Maheux P, et al. Current level of glycaemic control and its associated factors in patients with type 2 diabetes across Europe: data from the PANORAMA study. Clin Endocrinol (Oxf) 2014; 80 (1): 47-56.
[16] Umpierrez GE, Isaacs SD, Bazargan N, You X, Thaler LM, Kitabchi AE. Hyperglycemia: An Independent Marker of In-Hospital Mortality in Patients with Undiagnosed Diabetes. J Clin Endocrinol Metab 2002; 87 (3): 978-82.
[17] Tapsoba M T. Evaluation of glycemic control from a retrospective study over 04 years in diabetics followed at Yalagado Ouedraogo National Hospital Center. Doctoral thesis in medicine, N°11, University of Ouagadougou; 2001.
[18] Traoré S, Guira O, Zoungrana, L, Sagna Y, Bognounou R, Paré C. B, Dabourou D. L, Séré L, Zemba D, Dembélé L. S, Somé P. D, Savadogo P. P. C, Tondé A, Hervé T. and Drabo, J. Y. Factors Associated with Prolonged Poor Glycemic Control in Type 2 Diabetes Mellitus (T2DM) Patients Followed in the Department of Internal Medicine at the Yalgado Ouedraogo Teaching Hospital, Ouagadougou (Burkina Faso). Open Journal of Internal Medicine 2021; 11 (1): 1-26.
[19] Morisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens Greenwich Conn 2008; 10 (5): 348-54.
[20] Ana-Maria Šimundić. Measures of diagnostic accuracy: basic definitions. EJIFCC 2009; 19 (4): 203-11.
[21] Pesantes MA, Del Valle A, Diez-Canseco F, Bernabé-Ortiz A, Portocarrero J, Trujillo A, Cornejo P, Manrique K, Miranda JJ. Family Support and Diabetes: Patient's Experiences From a Public Hospital in Peru. Qual Health Res 2018; 28 (12): 1871-1882.
[22] Irving G, Neves AL, Dambha-Miller H, Oishi A, Tagashira H, Verho A, and al. International variations in primary care physician consultation time: a systematic review of 67 countries. BMJ Open 2017; 7 (10): e017902.
[23] Mekni S, Nacef IB, Jenouiz Z, Rojbi I, Mchirgui N, Lakhoua Y, and al. Impact of hospitalization on glycemic control in patients with poorly controlled diabetes. Ann Endocrinol 2017; 78 (4): 421-2.
[24] Van Esdonk MJ, Tai B, Cotterill A, Charles B, Hennig S. Prediction of glycaemic control in young children and adolescents with type 1 diabetes mellitus using mixed-effects logistic regression modelling. PloS One 2017; 12 (8): e0182181.
[25] Hertroijs DFL, Elissen AMJ, Brouwers MCGJ, Schaper NC, Köhler S, Popa MC, and al. A risk score including body mass index, glycated haemoglobin and triglycerides predicts future glycaemic control in people with type 2 diabetes. Diabetes Obes Metab 2018; 20 (3): 681-8.
[26] Ling S, Sun P, Zaccardi F, Khosla S, Cooper A, Fenici P, and al. Durability of glycaemic control in patients with type 2 diabetes after metformin failure: Prognostic model derivation and validation using the DISCOVER study. Diabetes Obes Metab 2020; 22 (5): 828-37.
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  • APA Style

    Solo Traoré, Lassané Zoungrana, Yempabou Sagna, Constant Boyo Paré, Desiré Lucien Dabourou, et al. (2022). Predictive Score of Prolonged Poor Glycemic Control in Type 2 Diabetic Patients Followed in Hospital in Burkina Faso. American Journal of Internal Medicine, 10(5), 96-102. https://doi.org/10.11648/j.ajim.20221005.12

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    ACS Style

    Solo Traoré; Lassané Zoungrana; Yempabou Sagna; Constant Boyo Paré; Desiré Lucien Dabourou, et al. Predictive Score of Prolonged Poor Glycemic Control in Type 2 Diabetic Patients Followed in Hospital in Burkina Faso. Am. J. Intern. Med. 2022, 10(5), 96-102. doi: 10.11648/j.ajim.20221005.12

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    AMA Style

    Solo Traoré, Lassané Zoungrana, Yempabou Sagna, Constant Boyo Paré, Desiré Lucien Dabourou, et al. Predictive Score of Prolonged Poor Glycemic Control in Type 2 Diabetic Patients Followed in Hospital in Burkina Faso. Am J Intern Med. 2022;10(5):96-102. doi: 10.11648/j.ajim.20221005.12

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  • @article{10.11648/j.ajim.20221005.12,
      author = {Solo Traoré and Lassané Zoungrana and Yempabou Sagna and Constant Boyo Paré and Desiré Lucien Dabourou and Daniel Zemba and Réné Bognounou and Nomwindé Christèle Joëlle Ouédraogo and Amsa Ouédraogo and Wind-La-Sida Abd-El-Aziz Ouédraogo and Yacouba Zoungrana and Hervé Tiéno and Oumar Guira},
      title = {Predictive Score of Prolonged Poor Glycemic Control in Type 2 Diabetic Patients Followed in Hospital in Burkina Faso},
      journal = {American Journal of Internal Medicine},
      volume = {10},
      number = {5},
      pages = {96-102},
      doi = {10.11648/j.ajim.20221005.12},
      url = {https://doi.org/10.11648/j.ajim.20221005.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajim.20221005.12},
      abstract = {Introduction: Achieving and maintaining optimal glycemic targets can be difficult because of several factors that make uncontrolled diabetes a public health problem. The objective of this study was to propose a predictive score for prolonged poor glycemic control in the type 2 diabetes cohort. Methodology: This was a secondary data analysis of a cross-sectional study. The dependent variable was prolonged poor glycemic control. The modality of the variable with the lowest adjusted OR in the model was assigned a point. The points of the other modalities were weighted proportionally to this variable. Logistic regression was performed and tested by a ROC curve. Results: 270 patients were included in the study. In multivariate analysis, low educational level (OR=8.34, CI95% [1.97-35.22]); family support for diabetes management (OR=0.65, CI95% [0.45-0.94]); abdominal obesity (OR=2.27, CI 95% [1.08-4.77]); a history of hospitalization (OR=7.39, CI95% [2.97-18.39]); poor adherence to treatment (OR=2.97, CI 95% [1.42-6.18]); and microangiopathy (OR=5.05, CI 95% [2.36-10.81]) were factors independently associated with prolonged poor diabetes control. A score greater than or equal to 45 was found in this study. The sensitivity and the specificity in our study were respectively 78.89% and of 84.51% with a good performance (AUC= 0.87). Conclusion: The Predictive score is made up of a triad of patient, family and caregiver factors. All of these components are modifiable factors.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Predictive Score of Prolonged Poor Glycemic Control in Type 2 Diabetic Patients Followed in Hospital in Burkina Faso
    AU  - Solo Traoré
    AU  - Lassané Zoungrana
    AU  - Yempabou Sagna
    AU  - Constant Boyo Paré
    AU  - Desiré Lucien Dabourou
    AU  - Daniel Zemba
    AU  - Réné Bognounou
    AU  - Nomwindé Christèle Joëlle Ouédraogo
    AU  - Amsa Ouédraogo
    AU  - Wind-La-Sida Abd-El-Aziz Ouédraogo
    AU  - Yacouba Zoungrana
    AU  - Hervé Tiéno
    AU  - Oumar Guira
    Y1  - 2022/10/18
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ajim.20221005.12
    DO  - 10.11648/j.ajim.20221005.12
    T2  - American Journal of Internal Medicine
    JF  - American Journal of Internal Medicine
    JO  - American Journal of Internal Medicine
    SP  - 96
    EP  - 102
    PB  - Science Publishing Group
    SN  - 2330-4324
    UR  - https://doi.org/10.11648/j.ajim.20221005.12
    AB  - Introduction: Achieving and maintaining optimal glycemic targets can be difficult because of several factors that make uncontrolled diabetes a public health problem. The objective of this study was to propose a predictive score for prolonged poor glycemic control in the type 2 diabetes cohort. Methodology: This was a secondary data analysis of a cross-sectional study. The dependent variable was prolonged poor glycemic control. The modality of the variable with the lowest adjusted OR in the model was assigned a point. The points of the other modalities were weighted proportionally to this variable. Logistic regression was performed and tested by a ROC curve. Results: 270 patients were included in the study. In multivariate analysis, low educational level (OR=8.34, CI95% [1.97-35.22]); family support for diabetes management (OR=0.65, CI95% [0.45-0.94]); abdominal obesity (OR=2.27, CI 95% [1.08-4.77]); a history of hospitalization (OR=7.39, CI95% [2.97-18.39]); poor adherence to treatment (OR=2.97, CI 95% [1.42-6.18]); and microangiopathy (OR=5.05, CI 95% [2.36-10.81]) were factors independently associated with prolonged poor diabetes control. A score greater than or equal to 45 was found in this study. The sensitivity and the specificity in our study were respectively 78.89% and of 84.51% with a good performance (AUC= 0.87). Conclusion: The Predictive score is made up of a triad of patient, family and caregiver factors. All of these components are modifiable factors.
    VL  - 10
    IS  - 5
    ER  - 

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Author Information
  • Internal Medicine Department, Ziniaré Regional Hospital Center, Ziniaré, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

  • Higher Institute of Health Sciences, Nazi Boni University, Bobo Dioulasso, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

  • Research Institute in Health Sciences, Ouagadougou, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

  • Internal Medicine Department, Ziniaré Regional Hospital Center, Ziniaré, Burkina Faso

  • Internal Medicine Department, Ziniaré Regional Hospital Center, Ziniaré, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

  • Unit of Training and Research in Health Sciences, Joseph Ki-Zerbo University, Ouagadougou, Burkina Faso

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