Ylfete A Shatri - Muçaj
University Clinical Center of Kosova , Kosova
Title: Therapeutic and preventive local treatment with magisterial preparations: Loregen sun day and previta gen
Biography
Biography: Ylfete A Shatri - Muçaj
Abstract
Skin changes in the surface of the whole body are extremely problematic for both male and female patients, but the most problematic and complex region is the face (because of its exposure in different factors).
Therefore, from my personal experience, I saw it necessary and reasonable to research and compile a very complex prescription, such as personal magistral preparations: Loregen Sun Day and Previta Gen.
These creams, contain a combination of moisturizing, epithelizing, astringent, revitalizing, vitamins (Vit.C, A, D, E), additional adjuvants, flavoring and cream base for magisterial preparation.
As for active substance, both of the creams contain Antipirin (Phenazone; Antipyrin; Analgesine; - C11H12N2O 188.23g/mol) 20% and 10%, which thought its mechanism of action as inhibitor of prostaglandins, acts as an anti-inflammatory and at the same time serves as an astringents without leaving the skin to become more rude and hyperpigmentated.
In my research, there are treated 334 patients of different ages from both sexes :( of them 203 female or 60.77% and 131 male or 39.22%).
These numbers of patients, depending on the changes of the skin of the faces are divided in three groups:
1. Group one (I-st) with hyperpigmentation changes from different etiology.
2. Group two (II-nd) with erythematosus changes, LED, Dermatitis, seborrhoica, ciakatrices post acne.
3. Group three (III-rd) with Actenic Keratosis, Senil Keratosis, Verruacae et Keratoais seborrohica
Conclusions: The use of an automated PRO platform for mental health screening enables a clinician to identify patients at risk that may have otherwise gone unidentified. Our automated platform screened more unique patients than a manual process in the same time frame. The implementation of the automated process is implemented in just under 70% of our total health system’s appointments. By implementing automated PROs, we hope to identify our total population of patients at risk for mental health conditions.