Fasting salivary glucose levels is not a better measure for identifying diabetes mellitus than serum or capillary blood glucose levels: comparison in a Ghanaian population.

Medicine Metabolism

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 16 10 2018
revised: 22 01 2019
accepted: 25 02 2019
entrez: 20 3 2019
pubmed: 20 3 2019
medline: 20 3 2019
Statut: epublish

Résumé

We compared the diagnostic performance and correlation between salivary, serum and capillary blood glucose of diabetes and non-diabetes patients. Early detection of diabetes mellitus (DM) contributes to the prevention of complications and management. This case-control study was conducted among a total of 138 participants comprising 79 newly diagnosed diabetes patients (cases) and 59 non-diabetes patients (controls). Fasting salivary glucose (FSLG), fasting serum glucose (FSEG) levels and fasting capillary whole blood glucose (FCWBG) level were assayed for each participant. The mean FSLG, FSEG and FCWBG levels were significantly higher among the cases compared to controls (p < 0.0001). There was a significant mean difference between the levels of FSLG vs. FSEG (p < 0.0001) and FSLG vs. FCWBG (p < 0.0001) but not levels of FSEG vs. FCWBG (p > 0.05) in both cases and controls. A positive correlation was observed between FSLG and FSEG (r = 0.89; p < 0.0001) and FCWBG (r = 0.87; p < 0.0001). At the cut-off value >6.8 mmol/l for FSEG, a sensitivity of 99%, specificity of 100.0% and area under the curve (AUC) of 98.8% was observed for predicting DM while a sensitivity of 80%, specificity of 95% and AUC of 91.0% was observed for FSLG at a cut-off value >0.5 mmol/l. At the cut-off value >6.9 mmol/l for FCWBG, a sensitivity of 100.0%, specificity of 100.0% and AUC of 100.0% was observed for predicting DM. Fasting salivary glucose (FSLG) levels increased with increasing blood glucose levels. However, it does not generate enough diagnostic and predictive accuracy compared to capillary whole blood glucose which less invasive.

Identifiants

pubmed: 30886931
doi: 10.1016/j.heliyon.2019.e01286
pii: S2405-8440(18)36700-8
pii: e01286
pmc: PMC6403070
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e01286

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Auteurs

Richard K D Ephraim (RKD)

Department of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.

Enoch Odame Anto (EO)

Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia.

Emmanuel Acheampong (E)

Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia.

Linda Ahenkorah Fondjo (LA)

Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Richmond B Barnie (RB)

Department of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.

Samuel Asamoah Sakyi (SA)

Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Ambrose Asare (A)

Department of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.

Classifications MeSH