The relationship between polyneuropathy and cognitive functions in type 2 Diabetes Mellitus patients
Notice bibliographique
Résumé
OBJECTIVES: Type 2 Diabetes Mellitus (DM) is a risk factor for mild cognitive impairment (MCI), Alzheimer's disease and vascular dementia. 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 Mini-Mental Test (MMSE) and the Montreal Cognitive Assessment Scale (MoCA) and to assess whether the presence of polyneuropathy is 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 2015 were 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 MoCA were administered. The demographic data and educational status of the patients were recorded. Hypertension, coronary artery disease, smoking and alcohol use were questioned. Their complaints, duration of illness and the treatment they were receiving were questioned. Glycosylated hemoglobin (HBA1C) values in the last three months and physical examination findings of patients were 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 and HBA1C 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 were no 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 statistically significant difference between the two groups. We also found that the mean MoCA value of all DM patients was 21, which was the MoCA 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 with and without polyneuropathy. However, the cross-sectional nature of our study makes it impossible to comment on this issue. To clarify 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 may have 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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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».