Identificación de Interacciones entre Medicamentos Administrados en el Area de Hospitalización del Hospital Pediátrico Alfonso Villagómez Román - Riobamba.

Abstract

"In the present study, the main interactions between medicines administered in the hospitalization area of the Pediatric Hospital Alfonso Villagómez Román — Riobamba were identified; for this all data were collected with the help of relatives and the revision of Clinic Histories of in patients for the elaboration of a pharmaco-therapeutic profile. The study was carried out in 215 patients; from them it was found out that 43 have diabetic relaives and that it is possible for them to develop this discase if they do not have the corresponding care; there are 13 patients who are allergic to some food or substance; $ are allergic to medicines and 54 are treated with medicines cier by prescription of the physician or because their parents auto-medicate them. Of the total of patients taken care of over the August — November, 2010 period, 48 present moderate medicine interactions which represent 22.33% and four of them show serious medicine interactions which represent 1.86%. Using the pharmacoherapeutic profile a classification of interactions categorizing them as slight, moderate and serious was carried out, with which a list of them was established finding out interaction between amino-glucosides and betalactamios as the most frequent; they are classified as moderate because of the inhibition they generate; on the other hand, there is another type of interactions between the cephalosporines of third generation with the amino-glucosides which are classified as serious because they cause nephrotoxicity; from this it is concluded that there are medicine interactions in 24.19% which represents a high incidence as related to the study time, which provides a referent as to the importance of ihe pharmacokinetics biochemical in the area to diminish its incidence; for this, knowledge on the pharmacokinetics and pharmacodynamics of the prescribed medicines is recommended to detect and solve on time the medicine interaction."