Abstract:
Introduction. Modern medicine should be predictive,
preventive, personalized, participatory. Predictive models can
be helpful in predicting the course of a disease, screening
undiagnosed individuals, and estimating the effectiveness of
treatment.
Purpose. Adaptation and practical implementation of
predictive scores for the development of autoimmune thyroid
disease (ATD).
Material and methods. Systematization of information on
predictive scores in autoimmune thyroid diseases was carried
out.
Results. Thyroperoxidase antibody titer, TSH level, heredity
were determined as independent factors for the development
of ATD. Low THEA predictive score means a low risk of
developing ATD in the next 5 years (tabel. 1). GREAT score is
based on clinical parameters at the time of diagnosis of Graves'
disease and is easy to apply in clinical practice. A 25% risk of
recurrence favors medical treatment and a 75% risk of
recurrence – thyroid gland ablation.
PREDIGO score highlights the predictive factors for endocrine
ophthalmopathy (EO) (tabel. 2). The high negative predictive value
allows identification of patients with minimal probability of EO
occurrence.
Conclusions. Prediction models can predict the development of a
disease, detect undiagnosed patients, estimate the effectiveness of
treatment, contribute to better decision making.
Description:
Endocrinology Department, State University of Medicine and Pharmacy "Nicolae Testemitanu", Chișinău, Republic of Moldova, Congresul consacrat aniversării a 75-a de la fondarea Universității de Stat de Medicină și Farmacie „Nicolae Testemițanu” din Republica Moldova, Ziua internațională a științei pentru pace și dezvoltare
