Abstract
Background: The diagnosis of Type 2 Diabetes Mellitus (T2DM) is made by demonstrating the hypoglycemic condition, which involves the determination of plasma glucose, and the follow-up of hypoglycemic treatment is performed by assessing the glycated hemoglobin (HbA1c) concentration.
Aim: The aim of this study was to evaluate the saliva as an alternative sample in assessing the adherence to treatment with oral hypoglycemic agents in patients with Type 2 Diabetes.
Methods: We selected 68 patients with T2DM, who were subjected to venous blood and saliva collection, in addition to answering a standardized questionnaire on adherence to hypoglycemic treatment. Laboratory tests performed on saliva, whole blood, serum or plasma included assessment of glycemia, urea, creatinine, uric acid, total cholesterol, HDL-cholesterol, LDL-cholesterol, VLDL-cholesterol, and glycated hemoglobin.
Results: It was concluded that 82% of the patients adhered to hypoglycemic treatment based on glycated hemoglobin concentration (cut-off value of 7.0%). Comparing the groups that adhered to hypoglycemic treatment and those that did not adhere, statistical differences (P<0.05) were observed in the glucose, HDL-cholesterol, triglycerides, and insulin use (insulin therapy) parameters. Plasma glucose and urea serum concentration showed positive correlations when compared to saliva samples. Regarding the questionnaire, it was found that 35% of the patients presented positive screening for belief barriers and 83% positive score for recall barriers, and the positive screening correlated with glycated hemoglobin.
Conclusion: Data have shown that it is possible to use saliva as an alternative sample to the laboratory assessment of hypoglycemic treatment adherence in T2DM patients.
Graphical Abstract
[http://dx.doi.org/10.2337/dc19-S002] [PMID: 30559228]
[PMID: 26983333]
[http://dx.doi.org/10.1161/CIR.0000000000000450] [PMID: 27799274]
[http://dx.doi.org/10.1152/physrev.00034.2018] [PMID: 31339053]
[http://dx.doi.org/10.1007/s00508-015-0931-3] [PMID: 27052219]
[PMID: 24612534]
[http://dx.doi.org/10.1186/s40200-017-0287-5] [PMID: 28127542]
[http://dx.doi.org/10.1016/j.jviromet.2004.09.001] [PMID: 15542142]
[http://dx.doi.org/10.1016/j.jobcr.2015.08.006] [PMID: 26937373]
[http://dx.doi.org/10.1016/j.jcjd.2017.09.005] [PMID: 29224632]
[http://dx.doi.org/10.1590/S0034-89102012005000013] [PMID: 22331180]
[http://dx.doi.org/10.1016/j.cca.2007.04.011] [PMID: 17512510]
[http://dx.doi.org/10.4239/wjd.v5.i6.730] [PMID: 25512775]
[PMID: 33033445]
[PMID: 24876711]
[http://dx.doi.org/10.4103/1119-3077.183314] [PMID: 27251965]
[http://dx.doi.org/10.1371/journal.pone.0223461] [PMID: 32182246]
[http://dx.doi.org/10.1037/a0040388] [PMID: 27690483]
[http://dx.doi.org/10.1093/qjmed/hcm031] [PMID: 17504861]
[http://dx.doi.org/10.2337/diacare.25.6.1015] [PMID: 12032108]
[http://dx.doi.org/10.1016/j.amjmed.2009.12.004] [PMID: 20206730]
[http://dx.doi.org/10.1186/s13104-016-1881-1] [PMID: 26879274]
[http://dx.doi.org/10.1016/j.dsx.2019.03.010] [PMID: 31336519]
[http://dx.doi.org/10.1177/2380084420954354] [PMID: 32881595]