AI Article Synopsis

  • Blood tests for monitoring glucose are invasive and uncomfortable, prompting a study to find a noninvasive method using salivary glucose levels for Type 1 diabetics.
  • The study involved 200 participants (100 Type 1 diabetics and 100 healthy controls), measuring fasting blood and salivary glucose levels, which showed significant positive correlations between the two.
  • A cut-off salivary glucose level of 11.60 mg% was determined for diabetes diagnosis, and a regression equation was established to convert salivary glucose values to blood glucose levels accurately.

Article Abstract

Background: The most commonly employed investigative procedure for monitoring glucose levels is blood investigation, which is invasive and gives discomfort to the patient. The purpose of the study was to validate a noninvasive, easy, and reliable method for predicting glucose levels in Type 1 diabetics and to validate a regression equation for converting the known values of salivary glucose to blood glucose.

Materials And Methods: 200 volunteers consisting of 100 Type 1 diabetics and 100 healthy controls were included, and their fasting blood and salivary glucose levels were assessed, using a semi-auto analyzer.

Results: On analysis of the data, statistically significant positive results were obtained (P < 0.05) when the blood and salivary glucose levels were considered among the study group participants, control group participants, and both study and control group participants. A cut-off value for salivary glucose (11.60 mg%) was defined, above which a person may be considered as diabetic. Also, the regression equation was obtained which could be used for the conversion of known value of salivary glucose to blood glucose and vice versa.

Conclusion: The present study successfully demonstrated the role of saliva as a noninvasive and reliable marker for the prediction of glucose levels in Type 1 diabetics who show elevated blood glucose levels.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606601PMC
http://dx.doi.org/10.4103/2231-0762.165923DOI Listing

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