OBJECTIVES: Adverse drug reactions (ADRs) are important causes of hospitalization, morbidity and mortality in hospitalized patients. In addition to the impact they have on human life, they also significantly influence health costs. This study intended to (1) identify suspected ADRs and establish their frequency of development, (2) establish a causal relationship with the suspected drug(s) and (3) verify if there is an association between the development of an ADR and factors such as age, gender, number of diagnoses and number of prescribed medications. METHODS: This cohort study considered hospitalized patients at five inpatient internal medicine units in a university hospital located in southern Brazil. Patients were intensively monitored in order to identify suspected ADRs during hospitalization. The types of reactions were classified and a causal relationship was established using an algorithm. RESULTS: The cohort study followed 333 patients and approximately 43% of them presented at least one suspected ADR. Three hundred and sixty suspected ADRs were identified, with 19.7% manifesting before the patient was admitted and 80.3% during hospitalization. Medications that were most commonly involved in these suspected cases were anti-infectious agents followed by drugs that act on the central nervous system (CNS). The follow-up length and number of medications in use were independent risk factors for the development of an ADR. The same relationship was not observed for age, gender and number of diagnoses. CONCLUSION: ADRs are a major problem in our setting and measures must be adopted to minimize them.
OBJECTIVES: Adverse drug reactions (ADRs) are important causes of hospitalization, morbidity and mortality in hospitalized patients. In addition to the impact they have on human life, they also significantly influence health costs. This study intended to (1) identify suspected ADRs and establish their frequency of development, (2) establish a causal relationship with the suspected drug(s) and (3) verify if there is an association between the development of an ADR and factors such as age, gender, number of diagnoses and number of prescribed medications. METHODS: This cohort study considered hospitalized patients at five inpatient internal medicine units in a university hospital located in southern Brazil. Patients were intensively monitored in order to identify suspected ADRs during hospitalization. The types of reactions were classified and a causal relationship was established using an algorithm. RESULTS: The cohort study followed 333 patients and approximately 43% of them presented at least one suspected ADR. Three hundred and sixty suspected ADRs were identified, with 19.7% manifesting before the patient was admitted and 80.3% during hospitalization. Medications that were most commonly involved in these suspected cases were anti-infectious agents followed by drugs that act on the central nervous system (CNS). The follow-up length and number of medications in use were independent risk factors for the development of an ADR. The same relationship was not observed for age, gender and number of diagnoses. CONCLUSION: ADRs are a major problem in our setting and measures must be adopted to minimize them.
Authors: I Tegeder; M Levy; U Muth-Selbach; R Oelkers; F Neumann; H Dormann; T Azaz-Livshits; M Criegee-Rieck; H T Schneider; E Hahn; K Brune; G Geisslinger Journal: Br J Clin Pharmacol Date: 1999-05 Impact factor: 4.335
Authors: K Fattinger; M Roos; P Vergères; C Holenstein; B Kind; U Masche; D N Stocker; S Braunschweig; G A Kullak-Ublick; R L Galeazzi; F Follath; T Gasser; P J Meier Journal: Br J Clin Pharmacol Date: 2000-02 Impact factor: 4.335
Authors: Jafna L Cox; David Zitner; Krista D Courtney; Dara Lee MacDonald; Grace Paterson; Bonnie Cochrane; Jim Mathers; Heather Merry; Gordon Flowerdew; David E Johnstone Journal: Am J Med Date: 2003-02-15 Impact factor: 4.965
Authors: Aileen B Dequito; Peter G M Mol; Jasperien E van Doormaal; Rianne J Zaal; Patricia M L A van den Bemt; Flora M Haaijer-Ruskamp; Jos G W Kosterink Journal: Drug Saf Date: 2011-11-01 Impact factor: 5.606
Authors: Juan Francisco Sánchez Muñoz-Torrero; Paloma Barquilla; Raul Velasco; Maria del Carmen Fernández Capitan; Nazaret Pacheco; Lucia Vicente; Jose Luis Chicón; Sara Trejo; Jose Zamorano; Alicia Lorenzo Hernandez Journal: Eur J Clin Pharmacol Date: 2010-08-06 Impact factor: 2.953
Authors: W A Tumwikirize; J W Ogwal-Okeng; A Vernby; W W Anokbonggo; L L Gustafsson; S C Lundborg Journal: Afr Health Sci Date: 2011-03 Impact factor: 0.927
Authors: Ushma Mehta; David N Durrheim; Marc Blockman; Tamara Kredo; Ronald Gounden; Karen I Barnes Journal: Br J Clin Pharmacol Date: 2007-12-07 Impact factor: 4.335