"Our proposed algorithm may be used as a reliable and low-cost tool to establish PD cohorts for epidemiological studies," commented lead investigator Nir Giladi, MD, Chairman, Department of Neurology , Tel Aviv Sourasky Medical Center, and Associate Professor, Sackler School of Medicine, Tel Aviv University . "Our findings of prevalence and incidence are higher than expected, and a rising number of PD patients in Israel reflect the growing burden of PD morbidity on Israeli health and social systems, and should be the base for national resource planning for the future."
The refined drug-driven algorithm used assessed PD Patients at three certainty levels – definite, probable, and possible – based on the fact that PD therapy is chronic and generally involves an increasing number of drug-types and dosages as the disease progresses. Thus, those levels of accuracy were assigned based on specific combinations of categories of four factors: (a) PD drug types used; (b) age at first PD drug purchase (c) follow-up period; and (d) PD drug purchase intensity – number and continuity of purchases.
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