Patrícia Conde
Instituto Nacional de Saúde Dr. Ricardo Jorge
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Featured researches published by Patrícia Conde.
Vaccine | 2014
Baltazar Nunes; Ausenda Machado; Raquel Guiomar; Pedro Pechirra; Patrícia Conde; Paula Cristóvão; Isabel Falcão
BACKGROUND In recent years several reports of influenza vaccine effectiveness (VE) have been made early for public health decision. The majority of these studies use the case test-negative control design (TND), which has been showed to provide, under certain conditions, unbiased estimates of influenza VE. Nevertheless, discussions have been taken on the best influenza negative control group to use. The present study aims to contribute to the knowledge on this field by comparing influenza VE estimates using three test-negative controls: all influenza negative, non-influenza respiratory virus and pan-negative. METHODS Incident ILI patients were prospectively selected and swabbed by a sample of general practitioners. Cases were ILI patients tested positive for influenza and controls ILI patients tested negative for influenza. The influenza negative control group was divided into non-influenza virus control group and pan-negative control group. Data were collected on vaccination status and confounding factors. Influenza VE was estimated as one minus the odds ratio of been vaccinated in cases versus controls adjusted for confounding effect by logistic regression. RESULTS Confounder adjusted influenza VE against medically attended laboratory-confirmed influenza was 68.4% (95% CI: 20.7-87.4%) using all influenza negatives controls, 82.1% (95% CI: 47.6-93.9%) using non-influenza controls and 49.4% (95% CI: -44.7% to 82.3%) using pan-negative controls. CONCLUSIONS Influenza VE estimates differed according to the influenza negative control group used. These results are in accordance with the expected under the hypothesis of differential viral interference between influenza vaccinated and unvaccinated individuals. Given the wide importance of TND study further studies should be conducted in order to clarify the observed differences.
PLOS ONE | 2016
Vânia Gaio; Baltazar Nunes; Pedro Pechirra; Patrícia Conde; Raquel Guiomar; Carlos Matias Dias; Marta Barreto
Background Recent studies suggest an association between the Interferon Inducible Transmembrane 3 (IFITM3) rs12252 variant and the course of influenza infection. However, it is not clear whether the reported association relates to influenza infection severity. The aim of this study was to estimate the hospitalization risk associated with this variant in Influenza Like Illness (ILI) patients during the H1N1 pandemic influenza. Methods A case-control genetic association study was performed, using nasopharyngeal/oropharyngeal swabs collected during the H1N1 pandemic influenza. Laboratory diagnosis of influenza infection was performed by RT-PCR, the IFITM3 rs12252 was genotyped by RFLP and tested for association with hospitalization. Conditional logistic regression was performed to calculate the confounder-adjusted odds ratio of hospitalization associated with IFITM3 rs12252. Results We selected 312 ILI cases and 624 matched non-hospitalized controls. Within ILI Influenza A(H1N1)pdm09 positive patients, no statistical significant association was found between the variant and the hospitalization risk (Adjusted OR: 0.73 (95%CI: 0.33–1.50)). Regarding ILI Influenza A(H1N1)pdm09 negative patients, CT/CC genotype carriers had a higher risk of being hospitalized than patients with TT genotype (Adjusted OR: 2.54 (95%CI: 1.54–4.19)). Conclusions The IFITM3 rs12252 variant was associated with respiratory infection hospitalization but not specifically in patients infected with Influenza A(H1N1)pdm09.
Vaccine | 2017
Raquel Guiomar; Susana Pereira Silva; Patrícia Conde; Paula Cristóvão; Ana Carina Maia; Pedro Pechirra; Ana Paula Rodrigues; Baltazar Nunes; Luís Milho; Ana Coelho; Aida Fernandes; Paula Caseiro; Fernando Rodrigues; Lurdes Correia; João Pereira-Vaz; Sofia Almeida; Paula Branquinho; Rita Côrte-Real; Regina Viseu; Maria João Peres; Raquel Sanches; Filipa Dantas; Ludovina Freitas; Graça Andrade; Manuel Maurílio; Filomena Caldeira; Rita Cabral Veloso; Luisa Mota-Vieira; Marta C. Soares; Ana Rita Couto
INTRODUCTION Immune profile for influenza viruses is highly changeable over time. Serological studies can assess the prevalence of influenza, estimate the risk of infection, highlight asymptomatic infection rate and can also provide data on vaccine coverage. The aims of the study were to evaluate pre-existing cross-protection against influenza A(H3) drift viruses and to assess influenza immunity in the Portuguese population. MATERIALS AND METHODS We developed a cross-sectional study based on a convenience sample of 626 sera collected during June 2014, covering all age groups, both gender and all administrative health regions of Portugal. Sera antibody titers for seasonal and new A(H3) drift influenza virus were evaluated by hemagglutination inhibition assay (HI). Seroprevalence to each seasonal influenza vaccine strain virus and to the new A(H3) drift circulating strain was estimated by age group, gender and region and compared with seasonal influenza-like illness (ILI) incidence rates before and after the study period. RESULTS Our findings suggest that seroprevalences of influenza A(H3) (39.9%; 95% CI: 36.2-43.8) and A(H1)pdm09 (29.7%; 95% CI: 26.3-33.4) antibodies were higher than for influenza B, in line with high ILI incidence rates for A(H3) followed by A(H1)pdm09, during 2013/2014 season. Low pre-existing cross-protection against new A(H3) drift viruses were observed in A(H3) seropositive individuals (46%). Both against influenza A(H1)pdm09 and A(H3) seroprotection was highest in younger than 14-years old. Protective antibodies against influenza B were highest in those older than 65years old, especially for B/Yamagata lineage, 33.3% (95% CI: 25.7-41.9). Women showed a high seroprevalence to influenza, although without statistical significance, when compared to men. A significant decreasing trend in seroprotection from north to south regions of Portugal mainland was observed. CONCLUSIONS Our results emphasize that low seroprotection increases the risk of influenza infection in the following winter season. Seroepidemiological studies can inform policy makers on the need for vaccination and additional preventive measures.
Archive | 2016
Raquel Guiomar; Pedro Pechirra; Paula Cristóvão; Inês Costa; Patrícia Conde; Ana Paula Ribeiro Rodrigues; Susana Pereira Silva; Ausenda Machado; Baltazar Nunes
IV Congresso Nacional de Saúde Pública, 2-3 outubro 2014 | 2014
Paula Cristóvão; Pedro Pechirra; Patrícia Conde; Ana Carina Maia; Carla Roque; Dina Carpinteiro; Daniel A. Sampaio; Baltazar Nunes; Raquel Guiomar
Revista Portuguesa de Medicina Geral e Familiar | 2012
Baltazar Nunes; Ausenda Machado; Pedro Pechirra; Isabel Falcão; Paulo Gonçalves; Patrícia Conde; Raquel Guiomar; Inês Batista; José Marinho Falcão
XXXV Reunião Anual da Sociedade Espanhola de Epidemiología (SEE) e XII Congresso da Associação Portuguesa de Epidemiologia (APE), 6-8 Septiembre 2017 | 2017
Verónica Gómez; Mafalda Sousa-Uva; Patrícia Conde; Irina Kislaya; Victor Gomes; José Poças; Raquel Guiomar; Baltazar Nunes; Ausenda Machado
XI Congresso da Associação Portuguesa de Epidemiologia, 14-16 setembro 2016 | 2016
Verónica Gómez; Ana Paula Ribeiro Rodrigues; Raquel Guiomar; Pedro Pechirra; Patrícia Conde; Paula Cristóvão; Inês Costa; Baltazar Nunes; Ausenda Machado
Archive | 2016
Pedro Pechirra; Inês Costa; Patrícia Conde; Paula Cristóvão; Raquel Guiomar
Journal of Clinical Virology | 2016
Paula Cristóvão; Pedro Pechirra; Patrícia Conde; Inês Costa; Raquel Guiomar