Journal of Personalized Medicine (Feb 2022)

Age-Related Changes in Lipid and Glucose Levels Associated with Drug Use and Mortality: An Observational Study

  • Rene Markovič,
  • Vladimir Grubelnik,
  • Helena Blažun Vošner,
  • Peter Kokol,
  • Matej Završnik,
  • Karmen Janša,
  • Marjeta Zupet,
  • Jernej Završnik,
  • Marko Marhl

DOI
https://doi.org/10.3390/jpm12020280
Journal volume & issue
Vol. 12, no. 2
p. 280

Abstract

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Background: The pathogenesis of type 2 diabetes mellitus is complex and still unclear in some details. The main feature of diabetes mellitus is high serum glucose, and the question arises of whether there are other statistically observable dysregulations in laboratory measurements before the state of hyperglycemia becomes severe. In the present study, we aim to examine glucose and lipid profiles in the context of age, sex, medication use, and mortality. Methods: We conducted an observational study by analyzing laboratory data from 506,083 anonymized laboratory tests from 63,606 different patients performed by a regional laboratory in Slovenia between 2008 and 2019. Laboratory data-based results were evaluated in the context of medication use and mortality. The medication use database contains anonymized records of 1,632,441 patients from 2013 to 2018, and mortality data were obtained for the entire Slovenian population. Results: We show that the highest percentage of the population with elevated glucose levels occurs approximately 20 years later than the highest percentage with lipid dysregulation. Remarkably, two distinct inflection points were observed in these laboratory results. The first inflection point occurs at ages 55 to 59 years, corresponding to the greatest increase in medication use, and the second coincides with the sharp increase in mortality at ages 75 to 79 years. Conclusions: Our results suggest that medications and mortality are important factors affecting population statistics and must be considered when studying metabolic disorders such as dyslipidemia and hyperglycemia using laboratory data.

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