The worldwide epidemic scale of Diabetes mellitus (DM) has been underestimated for a long time. Currently every 10 seconds one patient dies of diabetes-related pathologies. Given the high risk and prevalence of secondary complications as well as individual predisposition to target organ injury, DM is one of the best examples for the application of predictive diagnostics aimed at preventive measures and personalized treatment. Generally, there are three levels desirable for pre- and Diabetes care:
1st level: prediction of the predisposition early in childhood
2nd level: prediction of early/premature aging and pre-stages of Diabetes
3rd level: prediction of Diabetes-related complications - cardiovascular, neurodegenerative and cancer diseases frequently developed in Diabetics.
Predictive diagnosis is considered as the basis for targeted preventive measures and consequent development of individualized treatment approaches. Communication among the professionals e.g. healthcare providers, policy-makers, educators, obligatorily involved in the overall process to improve (pre)Diabetes care is of paramount importance.
Keywords: Diabetes mellitus, morbidity, &, mortality, cardiovascular / Cancer / Neurodegenrative complications, socioeconomical burden, healthcare, predictive diagnosis, preventive measures, personalized medicine, healthcare providers, policymakers
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