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1.
J Gastrointestin Liver Dis ; 25(1): 25-32, 2016 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-27014751

RESUMEN

BACKGROUND AND AIMS: The most recent prevalence data for hepatitis B virus (HBV) infection in Romania came from an ESEN 2 study (2002), and from a Romanian population-based study performed in 2008. Most of the previous studies were regional and performed in specific groups (blood donors, pregnant women, institutionalized people, etc) and had limited representativeness at the national level, both for HBV and hepatitis C virus (HCV) infection. The scarcity of prevalence data for HBV and HCV infection coming from the routine surveillance was also considered. The aim of our study was to obtain overall and age group specific estimates of the prevalence of HBV and HCV infections markers in Romania, in order to recommend evidence-based public health interventions. The main outcome was the proportion of persons with HBV, HCV and HBV+HCV infection markers, overall and by age group and gender. METHODS: Our seroprevalence study ensured national representativeness for the targeted hospitalized population. A prospective collection of serum samples in hospital laboratories was completed between September and November 2013, using a systematic sampling. The study respected the confidentiality of personal data. We calculated the sample size using EpiInfo7 and used Z test - Two-tailed probability for statistical significance. RESULTS: The overall prevalence data estimated in our study were HBc Ab 28%, HBs Ag 4.2%, HBs Ab regardless of titer 64.1%, HBs Ab in titer of at least 10 mUI/ml and negative HBc Ab 17.5%; HCV Ab 5.6%; HBc Ab and HCV Ab 2.8%, as markers of double infection. CONCLUSION: The overall prevalence data estimated in our study for HBs Ag (4.2%) and HCV Ab (5.6%) correspond to a medium endemicity based on the WHO criteria. The estimated prevalence of HBV and HCV infection markers in the study population should represent an opportunity for a better national prevention and control strategy.


Asunto(s)
Coinfección , Anticuerpos contra la Hepatitis B/sangre , Hepatitis B/epidemiología , Anticuerpos contra la Hepatitis C/sangre , Hepatitis C/epidemiología , Control de Infecciones/organización & administración , Pacientes Internos , Adolescente , Adulto , Distribución por Edad , Anciano , Biomarcadores/sangre , Niño , Preescolar , Femenino , Hepatitis B/sangre , Hepatitis B/diagnóstico , Hepatitis B/inmunología , Hepatitis C/sangre , Hepatitis C/diagnóstico , Hepatitis C/inmunología , Humanos , Lactante , Recién Nacido , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Prevalencia , Estudios Prospectivos , Rumanía/epidemiología , Estudios Seroepidemiológicos , Pruebas Serológicas , Adulto Joven
2.
Influenza Other Respir Viruses ; 8(1): 8-12, 2014 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-24251915

RESUMEN

BACKGROUND: Limited data are available from Central and Eastern Europe on risk factors for severe complications of influenza. Such data are essential to prioritize prevention and treatment resources and to adapt influenza vaccination recommendations. OBJECTIVES: To use sentinel surveillance data to identify risk factors for fatal outcomes among hospitalized patients with severe acute respiratory infections (SARI) and among hospitalized patients with laboratory-confirmed influenza. METHODS: Retrospective analysis of case-based surveillance data collected from sentinel hospitals in Romania during the 2009/2010 and 2010/2011 winter influenza seasons was performed to evaluate risk factors for fatal outcomes using multivariate logistic regression. RESULTS: During 2009/2010 and 2010/2011, sentinel hospitals reported 661 SARI patients of which 230 (35%) tested positive for influenza. In the multivariate analyses, infection with influenza A(H1N1)pdm09 was the strongest risk factor for death among hospitalized SARI patients (OR: 6·6; 95% CI: 3·3-13·1). Among patients positive for influenza A(H1N1)pdm09 virus infection (n = 148), being pregnant (OR: 7·1; 95% CI: 1·6-31·2), clinically obese (OR: 2·9;95% CI: 1·6-31·2), and having an immunocompromising condition (OR: 3·7;95% CI: 1·1-13·4) were significantly associated with fatal outcomes. CONCLUSION: These findings are consistent with several other investigations of risk factors associated with influenza A(H1N1)pdm09 virus infections. They also support the more recent 2012 recommendations by the WHO Strategic Advisory Group of Experts on Immunization (SAGE) that pregnant women are an important risk group for influenza vaccination. Ongoing sentinel surveillance can be useful tool to monitor risk factors for complications of influenza virus infections during each influenza season, and pandemics as well.


Asunto(s)
Subtipo H1N1 del Virus de la Influenza A/aislamiento & purificación , Gripe Humana/epidemiología , Gripe Humana/mortalidad , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Femenino , Humanos , Lactante , Recién Nacido , Gripe Humana/complicaciones , Gripe Humana/virología , Masculino , Persona de Mediana Edad , Embarazo , Complicaciones del Embarazo/epidemiología , Complicaciones del Embarazo/mortalidad , Complicaciones del Embarazo/virología , Estudios Retrospectivos , Factores de Riesgo , Rumanía/epidemiología , Análisis de Supervivencia , Adulto Joven
3.
Epidemics ; 3(2): 125-33, 2011 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-21624784

RESUMEN

Following the emergence of a novel strain of influenza A(H1N1) in Mexico and the United States in April 2009, its epidemiology in Europe during the summer was limited to sporadic and localised outbreaks. Only the United Kingdom experienced widespread transmission declining with school holidays in late July. Using statistical modelling where applicable we explored the following causes that could explain this surprising difference in transmission dynamics: extinction by chance, differences in the susceptibility profile, age distribution of the imported cases, differences in contact patterns, mitigation strategies, school holidays and weather patterns. No single factor was able to explain the differences sufficiently. Hence an additive mixed model was used to model the country-specific weekly estimates of the effective reproductive number using the extinction probability, school holidays and weather patterns as explanatory variables. The average extinction probability, its trend and the trend in absolute humidity were found to be significantly negatively correlated with the effective reproduction number - although they could only explain about 3% of the variability in the model. By comparing the initial epidemiology of influenza A (H1N1) across different European countries, our analysis was able to uncover a possible role for the timing of importations (extinction probability), mixing patterns and the absolute humidity as underlying factors. However, much uncertainty remains. With better information on the role of these epidemiological factors, the control of influenza could be improved.


Asunto(s)
Subtipo H1N1 del Virus de la Influenza A , Gripe Humana/epidemiología , Gripe Humana/transmisión , Adolescente , Adulto , Distribución por Edad , Niño , Brotes de Enfermedades , Europa (Continente)/epidemiología , Vacaciones y Feriados , Humanos , Subtipo H1N1 del Virus de la Influenza A/aislamiento & purificación , Gripe Humana/diagnóstico , Masculino , Persona de Mediana Edad , Pandemias , Análisis de Regresión , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Factores de Riesgo , Instituciones Académicas , Estaciones del Año , Conducta Social , Tiempo (Meteorología) , Adulto Joven
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