Usefulness of Clinical Definitions of Influenza for Public Health Surveillance Purposes
Por:
Dominguez, A, Soldevila, N, Torner, N, Martinez, A, Godoy, P, Rius, C, Jane, M
Publicada:
1 ene 2020
Resumen:
This study investigated the performance of various case definitions and influenza symptoms in a primary healthcare sentinel surveillance system. A retrospective study of the clinical and epidemiological characteristics of the cases reported by a primary healthcare sentinel surveillance network for eleven years in Catalonia was conducted. Crude and adjusted diagnostic odds ratios (aDORs) and 95% confidence intervals (CIs) of the case definitions and symptoms for all weeks and epidemic weeks were estimated. The most predictive case definition for laboratory-confirmed influenza was the World Health Organization (WHO) case definition for ILI in all weeks (aDOR 2.69; 95% CI 2.42-2.99) and epidemic weeks (aDOR 2.20; 95% CI 1.90-2.54). The symptoms that were significant positive predictors for confirmed influenza were fever, cough, myalgia, headache, malaise, and sudden onset. Fever had the highest aDOR in all weeks (4.03; 95% CI 3.38-4.80) and epidemic weeks (2.78; 95% CI 2.21-3.50). All of the case definitions assessed performed better in patients with comorbidities than in those without. The performance of symptoms varied by age groups, with fever being of high value in older people, and cough being of high value in children. In patients with comorbidities, the performance of fever was the highest (aDOR 5.45; 95% CI 3.43-8.66). No differences in the performance of the case definition or symptoms in influenza cases according to virus type were found.
Filiaciones:
Dominguez, A:
Univ Barcelona, Dept Med, E-08036 Barcelona, Spain
CIBERESP, Madrid 28029, Spain
Soldevila, N:
Univ Barcelona, Dept Med, E-08036 Barcelona, Spain
CIBERESP, Madrid 28029, Spain
Torner, N:
Univ Barcelona, Dept Med, E-08036 Barcelona, Spain
CIBERESP, Madrid 28029, Spain
Generalitat Catalunya, Agencia Salut Publ Catalunya, Barcelona 08005, Spain
Martinez, A:
CIBERESP, Madrid 28029, Spain
Generalitat Catalunya, Agencia Salut Publ Catalunya, Barcelona 08005, Spain
Godoy, P:
CIBERESP, Madrid 28029, Spain
Generalitat Catalunya, Agencia Salut Publ Catalunya, Barcelona 08005, Spain
Univ Lleida, Inst Recerca Biomed Lleida, Lleida 25198, Spain
Rius, C:
CIBERESP, Madrid 28029, Spain
Agencia Salut Publ Barcelona, Barcelona 08023, Spain
Jane, M:
CIBERESP, Madrid 28029, Spain
Generalitat Catalunya, Agencia Salut Publ Catalunya, Barcelona 08005, Spain
Gold, Green Published
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