• Journals
  • Discipline
  • Indexed
  • Institutions
  • About
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  •   Home
  • Sociedad Médica de Santiago
  • Revista Médica de Chile
  • View Item
  •   Home
  • Sociedad Médica de Santiago
  • Revista Médica de Chile
  • View Item

COMPARISON OF TWO METHODS TO ASSESS CAUSALITY OF ADVERSE DRUG REACTIONS

Comparación de dos métodos de evaluación de causalidad de sospechas de reacciones adversas a medicamentos (RAM). 2003-2009.

Author
Kyonen, Mónica; particular

Folatre, Isabel; 2Médico Onco-Hematólogo Infantil, Instituto Pediátrico, Universidad Austral de Chile. Valdivia, Chile

Lagos, Ximena; Químico Farmacéutico, Docente Escuela de Química y Farmacia, Universidad Austral de Chile.

vargas, silvia; Químico Farmacéutico, Clínica Alemana, Valdivia, Chile

Full text
http://www.revistamedicadechile.cl/ojs/index.php/rmedica/article/view/3570
Abstract
Background: Assessment of causality is an essential part of pharmacological surveillance. Aim: To compare the causality assessment of suspected adverse drug reactions (ADRs) using algorithms proposed by Karch-Lasagna (K & L) and the World Health Organization (WHO). Material and methods: All spontaneous reports of suspected ADRs in a pediatric ward of a regional hospital were included. Causality was categorized as definitive, probable, possible, conditional or unlikely. The agreement between K & L and WHO algorithms was assessed using binomial test proportions and kappa coefficients. Results: One hundred thirty reports of ADRs in 126 patients aged 2 to 11 years were analyzed. The suspected medications were antineoplastic drugs in 59% of cases and antimicrobials in 23%. The most common affected system was the skin and appendages in 35%. Using K & L algorithm, causality was categorized as definitive in 10% of cases, probable in 28.5%, possible in 35.4%, conditional in 23.1% and unlikely in 3.0%. Using WHO algorithm, the figures were 2.3, 34.6, 59.2, 2.3 and 1.5%, respectively. The degree of agreement between K & L and WHO algorithms was 32.3% (kappa = 0.004). Conclusions: K & L attributed a higher level of ADR causality than WHO algorithm.
 
Background: Assessment of causality is an essential part of pharmacological surveillance. Aim: To compare the causality assessment of suspected adverse drug reactions (ADRs) using algorithms proposed by Karch-Lasagna (K & L) and the World Health Organization (WHO). Material and methods: All spontaneous reports of suspected ADRs in a pediatric ward of a regional hospital were included. Causality was categorized as definitive, probable, possible, conditional or unlikely. The agreement between K & L and WHO algorithms was assessed using binomial test proportions and kappa coefficients. Results: One hundred thirty reports of ADRs in 126 patients aged 2 to 11 years were analyzed. The suspected medications were antineoplastic drugs in 59% of cases and antimicrobials in 23%. The most common affected system was the skin and appendages in 35%. Using K & L algorithm, causality was categorized as definitive in 10% of cases, probable in 28.5%, possible in 35.4%, conditional in 23.1% and unlikely in 3.0%. Using WHO algorithm, the figures were 2.3, 34.6, 59.2, 2.3 and 1.5%, respectively. The degree of agreement between K & L and WHO algorithms was 32.3% (kappa = 0.004). Conclusions: K & L attributed a higher level of ADR causality than WHO algorithm.
 
Metadata
Show full item record
Discipline
Artes, Arquitectura y UrbanismoCiencias Agrarias, Forestales y VeterinariasCiencias Exactas y NaturalesCiencias SocialesDerechoEconomía y AdministraciónFilosofía y HumanidadesIngenieríaMedicinaMultidisciplinarias
Institutions
Universidad de ChileUniversidad Católica de ChileUniversidad de Santiago de ChileUniversidad de ConcepciónUniversidad Austral de ChileUniversidad Católica de ValparaísoUniversidad del Bio BioUniversidad de ValparaísoUniversidad Católica del Nortemore

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister
Dirección de Servicios de Información y Bibliotecas (SISIB) - Universidad de Chile
© 2019 Dspace - Modificado por SISIB