Journals / Şişli Etfal Hastanesi Tıp Bülteni / 2020 / Cilt: 54 - Sayı: 1

The Relationship between Polyneuropathy and Cognitive Functions in Type 2 Diabetes Mellitus Patients

Pages
41–46
DOI
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Also, factors affecting cognitive functions in all Type 2 DM patients were evaluated by logistic regression analysis, and it was found that duration of education was an independent factor affecting cognitive impairment (OR=8.167; p=0.001).Conclusion: In our study, we did not observe significant differences between MMSE and MoCA scores of Type 2 DM patients withand without polyneuropathy.

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Objective & Hypothesis:Objectives: Type 2 Diabetes Mellitus (DM) is a risk factor for mild cognitive impairment (MCI), Alzheimer's disease and vasculardementia.
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Key Findings & Data:However, it is not known which pathophysiological mechanisms lead to impairment in cognitive functions in Type 2 DM.This study aims to compare the cognitive functions of diabetic patients with and without polyneuropathy using standardized MiniMental Test (MMSE) and the Montreal Cognitive Assessment Scale (MoCA) and to assess whether the presence of polyneuropathyis a predictive factor for the development of cognitive impairment.Methods: Patients with DM who underwent our EMG laboratory for polyneuropathy between January 2014 and January 2015were included in this study.
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Conclusion & Impact:Also, factors affecting cognitive functions in all Type 2 DM patients were evaluated by logistic regression analysis, and it was found that duration of education was an independent factor affecting cognitive impairment (OR=8.167; p=0.001).Conclusion: In our study, we did not observe significant differences between MMSE and MoCA scores of Type 2 DM patients withand without polyneuropathy.
🔬Design:Research Article
📍Scope:2014 Verileri
⚙️Variables:Domain Parameters

Özet

Objectives: Type 2 Diabetes Mellitus (DM) is a risk factor for mild cognitive impairment (MCI), Alzheimer's disease and vasculardementia. However, it is not known which pathophysiological mechanisms lead to impairment in cognitive functions in Type 2 DM.This study aims to compare the cognitive functions of diabetic patients with and without polyneuropathy using standardized MiniMental Test (MMSE) and the Montreal Cognitive Assessment Scale (MoCA) and to assess whether the presence of polyneuropathyis a predictive factor for the development of cognitive impairment.Methods: Patients with DM who underwent our EMG laboratory for polyneuropathy between January 2014 and January 2015were included in this study. Patients who underwent electrophysiological examinations were evaluated for polyneuropathy. Patients with polyneuropathy were classified as a patient group and other patients as a control group. In all cases, MMSE and MoCAwere administered. The demographic data and educational status of the patients were recorded. Hypertension, coronary arterydisease, smoking and alcohol use were questioned. Their complaints, duration of illness and the treatment they were receivingwere questioned. Glycosylated hemoglobin (HBA1C) values in the last three months and physical examination findings of patientswere recorded. Patients with and without polyneuropathy were compared with statistical methods.Results: Polyneuropathy was detected in 34 (42%) of the 81 patients who participated in our study. The age, disease duration andHBA1C levels were statistically higher in the polyneuropathy group than in the control group (p=0.024, p=0.000, p=0.016). However, there was no statistically significant difference between MMSE and MoCA scores of these groups. In both groups, there wereno patients scoring below the MMSE cut-off value of 24. Seventeen of the 34 patients (50%) in the polyneuropathic group and 19(40,4%) of the 47 patients in the control group had scores below the MoCA cut-off value 21. However, there was no statisticallysignificant difference between the two groups. We also found that the mean MoCA value of all DM patients was 21, which was theMoCA cut-off value. Also, factors affecting cognitive functions in all Type 2 DM patients were evaluated by logistic regression analysis, and it was found that duration of education was an independent factor affecting cognitive impairment (OR=8.167; p=0.001).Conclusion: In our study, we did not observe significant differences between MMSE and MoCA scores of Type 2 DM patients withand without polyneuropathy. However, the cross-sectional nature of our study makes it impossible to comment on this issue. Toclarify whether the presence of polyneuropathy is a predictive factor in the development of cognitive impairment in Type 2 DM,there is a need for a larger sample group and long-term follow-up studies. It has also been shown that patients with Type 2 DM mayhave low scores according to the MOBID cut-off value even though peripheral neurologic involvement findings are not observed.In the Type 2 DM population, it has also been shown that MoCA may be affected by education level.

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TİMER, S. M., TİMER, E., YÜKSELEN, N. P., GÖKYİĞİT, M. Ç. (2020). The Relationship between Polyneuropathy and Cognitive Functions in Type 2 Diabetes Mellitus Patients. Şişli Etfal Hastanesi Tıp Bülteni, Cilt: 54 - Sayı: 1, 41–46. https://ajindex.com/articles/363720

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References (12)

  1. Vermeer SE, Den Heijer T, Koudstaal PJ, Oudkerk M, Hofman A, Breteler MM; Rotterdam Scan Study. Incidence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study. Stroke 2003;34:392–6
  2. Rivera EJ, Goldin A, Fulmer N, Tavares R, Wands JR, de la Monte SM. Insulin and insulin-like growth factor expression and function deteriorate with progression of Alzheimer's disease: link to brain reductions in acetylcholine. J Alzheimers Dis 2005;8:247–68
  3. Fernández-Gamba A, Leal MC, Morelli L, Castaño EM. Insulin-degrading enzyme: structure-function relationship and its possible roles in health and disease. Curr Pharm Des 2009;15:3644–55
  4. Münch G, Schinzel R, Loske C, Wong A, Durany N, Li JJ, et al. Alzheimer's disease--synergistic effects of glucose deficit, oxidative stress and advanced glycation endproducts. J Neural Transm (Vienna) 1998;105:439–61
  5. Swerdlow RH, Khan SM. A "mitochondrial cascade hypothesis" for sporadic Alzheimer's disease. Med Hypotheses 2004;63:8–20
  6. Zhao WQ, Townsend M. Insulin resistance and amyloidogenesis as common molecular foundation for type 2 diabetes and Alzheimer's disease. Biochim Biophys Acta 2009;1792:482–96
  7. Wong TY, Klein R, Sharrett AR, Couper DJ, Klein BE, Liao DP, et al. Cerebral white matter lesions, retinopathy, and incident clinical stroke. JAMA 2002;288:67–74. 8. de Bresser J, Reijmer YD, van den Berg E, et al. Microvascular determinants of cognitive decline and brain volume change in elderly patients with type 2 diabetes. Dement Geriatr Cogn Disord 2010;30:381–6
  8. Ba-Tin L, Strike P, Tabet N. Diabetic peripheral microvascular complications: relationship to cognitive function. Cardiovasc Psychiatry Neurol 2011;2011:723434
  9. Tekin O, Çukur S, Karadağ R, Tunca A, Göktaş O, Özkara A, et al. Cognitive impairment among type-2 diabetic subjects and its relationship with long-term complications. Turk J Med Sci 2009;39:661–9
  10. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–98
  11. Gungen C, Ertan T, Eker E, Yaşar R, Engin F. Standardize Mini Mental Test’in Turk Toplumunda Hafif Demans Tanısında Geçerlilik ve Güvenilirliği. Türk Psikiyatri Dergisi 2002;13:273–81
  12. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc