Institutional Repository in Medical Sciences
(IRMS – Nicolae Testemițanu SUMPh)

Predictive scores for the development of autoimmune thyroid diseases

Show simple item record

dc.contributor.author Vudu, Lorina
dc.date.accessioned 2020-11-26T11:01:20Z
dc.date.available 2020-11-26T11:01:20Z
dc.date.issued 2020-10
dc.identifier.uri https://stiinta.usmf.md/ro/manifestari-stiintifice/zilele-universitatii
dc.identifier.uri http://repository.usmf.md/handle/20.500.12710/13305
dc.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 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Universitatea de Stat de Medicină şi Farmacie "Nicolae Testemiţanu" din Republica Moldova en_US
dc.subject score en_US
dc.subject autoimmune thyroid disease en_US
dc.subject treatment en_US
dc.subject ophthalmopathy en_US
dc.title Predictive scores for the development of autoimmune thyroid diseases en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics