Evaluation the Relationship Between Serum and Salivary Levels of 25(OH)Vit.D with Type II Diabetes in Newly Diagnosed Diabetics
Notice bibliographique
Résumé
Introduction: The International Diabetes Federation (IDF) Announces 415 million people around the world are suffering from diabetes. There is a high proportion of UDM (undiagnosed diabetes) at the level of the world and particularly in developing countries. The number of people with UDM in Iran in 2015 are 2197.96 per 1000. Vitamin D3 deficiency is associated with increased risk of type 2 diabetes and for a long time, been recognized as a risk factor for glucose intolerance. Salivary composition, as the mirror of oral health, its use as a diagnostic tool is increasing and diabetes is also can be effective on the flow rate of saliva and its compounds. Analysis of saliva can be used as part of the evaluation of endocrine function. Material and Methods: In this case-control study in 2016 in Hamadan, we selected 57 newly diagnosed patients with type 2 diabetes mellitus with mean aged 47.73 years and 57 healthy controls with mean aged 45.36 years. By using Spitting method, 5ml of completely unstimulated saliva samples were collected from diabetic patients and control subjects. The serum and saliva 25(OH)Vit.Dconcentrations were measured by ELISA. The results are analyzed by SPSS 16.Results: Significant difference was found in serum concentrations between the two groups (p<0.001). But in unstimulated whole salivary 1, 25(OH) 2D3 concentrations between the two groups, difference was not significant and the relationship, was reversed. There was a significant correlation (P=0.013) between serum and saliva 1, 25(OH) 2D3concentrations in the control group. In other words, the correlation was approximately 0.33. Correlation between serum and saliva 1, 25(OH) 2D3 concentrations in case group was not significant. Serum levels of 1, 25(OH) 2D3 in 21.1% of control group, showed the inadequate level (Vit.D3= 20-29ng/ml) and in the case group, showed the critical situation and overall 91.2% of the newly diagnosed diabetics, suffered from lack of vitamin D3. According to the salivary levels of 1, 25(OH) 2D3, in general, a total of 58% of the case group, have deficiency of vitamin D3.Conclusion: The results was confirmed vitamin D3 deficiency in participating in the study population (both case and control). The findings showed that there is lower concentration of 1, 25(OH) 2D3 in serum and after that in saliva in diabetic patients that newly diagnosed. Saliva would play a helpful diagnostic role in the early detection, the monitoring and progression of diabetes, but still serum is the better method for detecting vit.D3 levels and more research needs to be done on saliva for detecting Vit.D3 concentrations.
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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 | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,000 | 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 ».