Risk factors for early prediction of adverse drug events related to hospitalizations
The prevalence of hospital admissions because of possible adverse drug events (ADEs) vary from 0.56% to 54.5% in Brazil. In addition, nearly 43% of inpatients may develop adverse drug reactions (ADRs) during their hospital stays. Clinical outcomes arising from drug-related problems are almost never...
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Universidad de Antioquia
2016
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oai:doaj.org-article:a662742c33324016a6ffeb5d0ca6fa992021-11-19T04:10:06ZRisk factors for early prediction of adverse drug events related to hospitalizations0121-40042145-2660https://doaj.org/article/a662742c33324016a6ffeb5d0ca6fa992016-05-01T00:00:00Zhttps://revistas.udea.edu.co/index.php/vitae/article/view/25974https://doaj.org/toc/0121-4004https://doaj.org/toc/2145-2660 The prevalence of hospital admissions because of possible adverse drug events (ADEs) vary from 0.56% to 54.5% in Brazil. In addition, nearly 43% of inpatients may develop adverse drug reactions (ADRs) during their hospital stays. Clinical outcomes arising from drug-related problems are almost never identified by health professionals because the signs and symptoms are nonspecific and may mimic pathologies. Patricia de Carvalho MASTROIANNIFabiana ROSSI VARALLOUniversidad de AntioquiaarticleFood processing and manufactureTP368-456Pharmaceutical industryHD9665-9675ENVitae, Vol 22, Iss 3 (2016) |
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Food processing and manufacture TP368-456 Pharmaceutical industry HD9665-9675 |
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Food processing and manufacture TP368-456 Pharmaceutical industry HD9665-9675 Patricia de Carvalho MASTROIANNI Fabiana ROSSI VARALLO Risk factors for early prediction of adverse drug events related to hospitalizations |
description |
The prevalence of hospital admissions because of possible adverse drug events (ADEs) vary from 0.56% to 54.5% in Brazil. In addition, nearly 43% of inpatients may develop adverse drug reactions (ADRs) during their hospital stays. Clinical outcomes arising from drug-related problems are almost never identified by health professionals because the signs and symptoms are nonspecific and may mimic pathologies.
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format |
article |
author |
Patricia de Carvalho MASTROIANNI Fabiana ROSSI VARALLO |
author_facet |
Patricia de Carvalho MASTROIANNI Fabiana ROSSI VARALLO |
author_sort |
Patricia de Carvalho MASTROIANNI |
title |
Risk factors for early prediction of adverse drug events related to hospitalizations |
title_short |
Risk factors for early prediction of adverse drug events related to hospitalizations |
title_full |
Risk factors for early prediction of adverse drug events related to hospitalizations |
title_fullStr |
Risk factors for early prediction of adverse drug events related to hospitalizations |
title_full_unstemmed |
Risk factors for early prediction of adverse drug events related to hospitalizations |
title_sort |
risk factors for early prediction of adverse drug events related to hospitalizations |
publisher |
Universidad de Antioquia |
publishDate |
2016 |
url |
https://doaj.org/article/a662742c33324016a6ffeb5d0ca6fa99 |
work_keys_str_mv |
AT patriciadecarvalhomastroianni riskfactorsforearlypredictionofadversedrugeventsrelatedtohospitalizations AT fabianarossivarallo riskfactorsforearlypredictionofadversedrugeventsrelatedtohospitalizations |
_version_ |
1718420512016695296 |