Objective

To identify clinical and pharmacotherapeutic predictors associated with severity levels of adverse reactions and drug-drug interactions in post-stroke hospita-lized patients.

Methods

Analytic, predictive, cross-sectional study using multiple linear regression modeling. Severity levels of potential adverse reactions and drug-drug interactions were assessed using Drugs.com.

Results

From the evaluation of 992 medical prescriptions of 55 (56.7%) female and 42 (43.3%) male patients post ischemic stroke 62(63.9%) and hemorrhagic stroke 35 (36.1%); a total of 11 790±46.8 potential adverse reactions and 1 034±9.8 drug-drug interactions were identified; arterial hypertension was associated with severe and moderate adverse reactions; while in-hospital pneumonia and metabolic alkalosis with mild and moderate adverse reactions. While metabolic alkalosis was associated with moderate and mild drug-drug interactions. Pharmacotherapeutic predictors such as polypharmacy prescription and antibiotic use were related to moderate and mild severe adverse reactions; antidiabetic drugs were related to moderate and severe drug-drug interactions and cardiac therapy drugs were related to mild drug-drug interactions.

Conclusions

Clinical variables such as cardiovascular risk factors, presence of comorbidities that exacerbate chronic noncommunicable diseases, alarm signs and symptoms, longer hospital stay, as well as polypharmacy prescriptions, were predictors of a higher frequency of severe and moderate adverse reactions and drug-drug interactions, which require special vigilance and individualized study.