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Epidemiological and Hemato-Biochemical Profiles of Diabetic Patients at the Diabetology, Endocrinology, and Metabolic Diseases Department of the Alpha Oumar Diallo Regional Hospital, Kindia (Republic of Guinea)

DOI: 10.4236/jdm.2024.142010, PP. 108-121

Keywords: Epidemiology, Diabetes, Glucose Levels, Glycosuria, Metabolic Disorders, Kindia

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Abstract:

This study aims to enhance the healthcare services for diabetic patients in the administrative region of Kindia by suggesting dietary interventions to assist diabetics in better managing their condition. Conducted over a period of six months, from February 18 to July 18, 2021, this prospective and descriptive cross-sectional study involved 220 diabetic patients. Among these, 48 patients (22%) maintained balanced glucose levels (<0.80 - 1.30 g/l), while 122 patients (68.18%) exhibited unbalanced glucose levels, and 22 (10%) presented with highly unbalanced glucose levels (>2 g/l). Positive glycosuria was observed in 54% of the patients, whereas 46% demonstrated normal glycosuria. An analysis of urinary parameters revealed that 15% of the patients had abnormal Ketone Bodies. Normal HbA1c levels (<7%) were observed in 37.93% of patients, with 13.79% showing unbalanced (7% - 9%) and highly unbalanced (>9%) HbA1c levels. Hematological assessments indicated significant variation: 56% of the patients had low hemoglobin levels, 4% suffered from hyper-eosinophilia, and 1% each from hyper-basophilia and hyper-hemoglobinemia. The anemic profile was characterized as mild anemia in 75%, moderate anemia in 20%, and severe anemia in 5%. Furthermore, 25% of patients were affected by Microcytic anemia and 75% by Normocytic anemia. Demographically, women constituted 65% of the study group compared to 35% of men. The most represented age bracket was 41 to 60 years, accounting for 52% of the patients, while those between 61 and 80 years comprised 36%. Every district in Kindia was impacted by diabetes.

References

[1]  GBD RFC (2020) Global Burden of 87 Risk Factors in 204 Countries and Territories, 1990-2019: A Systematic Analysis for the Global Burden of Disease Study 2019. The Lancet (London England), 396, 1223-1249.
[2]  Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., et al. (2019) Global and Regional Diabetes Prevalence Estimates for 2019 and Projections for 2030 and 2045, Results from the International Diabetes Federation Diabetes Atlas, 9th Edition. Diabetes Research and Clinical Practice, 157, Article ID: 107843.
https://doi.org/10.1016/j.diabres.2019.107843
[3]  Camara, C.É., Touré, K., Camara, T., Fotso, C. and Fotso, A. (2022) Epidemiological and Hemato-Biochemical Urinary Profile of Diabetic Patients Received in Consultation at Anastasis Health Center in Nongo (Conakry), Republic of Guinea. World Journal of Advanced Research and Reviews, 16, 661-670.
https://doi.org/10.30574/wjarr.2022.16.3.1384
[4]  Gregg, E., Sattar, N. and Ali, M. (2016) The Changing Face of Diabetes Complications. The Lancet Diabetes & Endocrinology, 4, 537-547.
https://doi.org/10.1016/S2213-8587(16)30010-9
[5]  Bommer, C., Sagalova, V., Heesemann, E., Manne-Goehler, J., Atun, R., Bärnighausen, T., et al. (2018) Global Economic Burden of Diabetes in Adults: Projections from 2015 to 2030. Diabetes Care, 41, 963-970.
https://doi.org/10.2337/dc17-1962
[6]  Zheng, Y., Ley, S. and Hu, F. (2018) Global Aetiology and Epidemiology of Type 2 Diabetes Mellitus and Its Complications. Nature Reviews Endocrinology, 14, 88-98.
https://doi.org/10.1038/nrendo.2017.151
[7]  Lao, X., Guo, C., Chang, L., Bo, Y., Zhang, Z., Chuang, Y., et al. (2019) Long-Term Exposure to Ambient Fine Particulate Matter (PM) and Incident Type 2 Diabetes: A Longitudinal Cohort Study. Diabetologia, 62, 759-769.
https://doi.org/10.1007/s00125-019-4825-1
[8]  Paul, L., Burnett, R., Kwong, J., Hystad, P., Van, Donkelaar, A., Bai, L., et al. (2020) The Impact of Air Pollution on the Incidence of Diabetes and Survival among Prevalent Diabetes Cases. Environment International, 134, Article ID: 105333.
https://doi.org/10.1016/j.envint.2019.105333
[9]  Singh, G.M., Danaei, G., Farzadfar, F., Stevens, G.A., Woodward, M., Wormser, D., et al. (2009) Trends in All-Cause and Cardiovascular Disease Mortality among Women and Men with and without Diabetes Mellitus in the Framingham Heart Study, 1950 to 2005. Circulation, 119, 1728-1735.
https://doi.org/10.1161/CIRCULATIONAHA.108.829176
[10]  Danaei, G., Lawes, C.M., Vander Hoorn, S., Murray, C.J. and Ezzati, M. (2006) Global and Regional Mortality from Ischaemic Heart Disease and Stroke Attributable to Higher-than-Optimum Blood Glucose Concentration: Comparative Risk Assessment. The Lancet, 368, 1651-1659.
https://doi.org/10.1016/S0140-6736(06)69700-6
[11]  Preis, S.R., Hwang, S.J., Coady, S., Pencina, M.J., D’Agostino Sr, R.B., Savage, P.J., et al. (2009) Trends in All-Cause and Cardiovascular Disease Mortality among Women and Men with and without Diabetes Mellitus in the Framingham Heart Study, 1950 to 2005. Circulation, 119, 1728-1735.
https://doi.org/10.1161/CIRCULATIONAHA.108.829176
[12]  Gregg, E.W., Cheng, Y.J., Saydah, S., Cowie, C., Garfield, S., Geiss, L., et al. (2012) Trends in Death Rates among U.S. Adults with and without Diabetes between 1997 and 2006, Findings from the National Health Interview Survey. Diabetes Care, 35, 1252-1257.
https://doi.org/10.2337/dc11-1162
[13]  Liu, G., Li, Y., Hu, Y., Zong, G., Li, S., Rimm, E.B., et al. (2018) Influence of Lifestyle on Incident Cardiovascular Disease and Mortality in Patients with Diabetes Mellitus. Journal of the American College of Cardiology, 71, 2867-2876.
https://doi.org/10.1016/j.jacc.2018.04.027
[14]  Lv, J., Yu, C., Guo, Y., Bian, Z., Yang, L., Chen, Y., et al. (2017) Adherence to Healthy Lifestyle and Cardiovascular Diseases in the Chinese Population. Journal of the American College of Cardiology, 69, 1116-1125.
https://doi.org/10.1016/j.jacc.2016.11.076
[15]  Micha, R., Peñalvo, J.L., Cudhea, F., Imamura, F., Rehm, C.D. and Mozaffarian, D. (2017) Association between Dietary Factors and Mortality from Heart Disease, Stroke, and Type 2 Diabetes in the United States. JAMA, 317, 912-924.
https://doi.org/10.1001/jama.2017.0947
[16]  Yusuf, S., Joseph, P., Rangarajan, S., Islam, S., Mente, A., Hystad, P., et al. (2020) Modifiable Risk Factors, Cardiovascular Disease, and Mortality in 155 722 Individuals from 21 High-Income, Middle-Income, and Low-Income Countries (PURE): A Prospective Cohort Study. The Lancet, 395, 795-808.
https://doi.org/10.1016/S0140-6736(19)32008-2
[17]  Giugliano, D., Longo, M., Scappaticcio, L., Caruso, P. and Esposito, K. (2021) Sodium-Glucose Transporter-2 Inhibitors for Prevention and Treatment of Cardiorenal Complications of Type 2 Diabetes. Cardiovascular Diabetology, 20, Article No. 17.
https://doi.org/10.1186/s12933-021-01213-w
[18]  Marsico, F., Paolillo, S., Gargiulo, P., Bruzzese, D., Dell’Aversana, S., Esposito, I., et al. (2020) Effects of Glucagon-Like Peptide-1 Receptor Agonists on Major Cardiovascular Events in Patients with Type 2 Diabetes Mellitus with or without Established Cardiovascular Disease: A Meta-Analysis of Randomized Controlled Trials. European Heart Journal, 41, 3346-3358.
https://doi.org/10.1093/eurheartj/ehaa082
[19]  Kang, Y.M., Cho, Y.K., Lee, J., Lee, S.E., Lee, W.J., Park, J.Y., et al. (2019) Asian Subpopulations May Exhibit Greater Cardiovascular Benefit from Long-Acting Glucagon-Like Peptide 1 Receptor Agonists: A Meta-Analysis of Cardiovascular Outcome Trials. Diabetes & Metabolism Journal, 43, 410-421.
https://doi.org/10.4093/dmj.2018.0070
[20]  Bah, A. (2015) Diabetic Profile and Risk Factors in Patients with Diabetes at the University Hospital of Conakry. Dissertation, Gamal Abdel Nasser University of Conakry, Conakry.
[21]  Mariama, D. (2018) Diabetic Profile of Patients Seen in Consultation at Mamou Regional Hospital. UGANC, Conakry.
[22]  International Diabetes Federation (2017) IDF Diabetes Atlas. 8th Edition.
[23]  Mbaye, N., et al. (2010) Epidemiological Aspects of Diabetes in Senegal: Results of a Survey on Cardiovascular Risk Factors in the City of Saint-Louis. Senegal.
[24]  WHO (2016) Facts and Figures on Diabetes-Infographics.
https://www.who.int/diabetes/infographic/en
[25]  National Diabetes Data Group (1979) Classification and Diagnostics of Diabetes Mellitus and Other Categories of Glucose Intolerance. Diabetes, 28, 1039-1057.
https://doi.org/10.2337/diab.28.12.1039
[26]  Kazilki, I.Z. (2018) Prevalence of Diabetes Mellitus in Patients Seen in Consultation at the Communal Medical Center of Coléah. Master’s Thesis, UGANC, Conakry.
[27]  Espi, M., Koppe, L., Fouque, D. and Thaunat, O. (2020) Chronic Kidney Disease-Associated Immune Dysfunctions: Impact of Protein-Bound Uremic Retention Solutes on Immune Cells. Toxins, 12, Article 300.
https://doi.org/10.3390/toxins12050300
[28]  Nagareddy, P.R., Murphy, A.J., Stirzaker, R.A., Hu, Y., Yu, S., et al. (2013) Hyperglycemia Promotes Myelopoiesis and Impairs the Resolution of Atherosclerosis. Cell Metabolism, 17, 695-708.
https://doi.org/10.1016/j.cmet.2013.04.001
[29]  Persson, S.U., Larsson, H. and Odeberg, H. (1998) Reduced Number of Circulating Monocytes After Institution of Insulin Therapy—Relevance for Development of Atherosclerosis in Diabetics? Angiology, 49, 423-433.
https://doi.org/10.1177/000331979804900602
[30]  Zendjabil, M. (2015) The Glycated Hemoglobin: Indication, Interpretation and Limitations. Annales Pharmaceutiques Françaises, 73, 336-339.
https://doi.org/10.1016/j.pharma.2015.03.001

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