ABSTRACT
Background: SARS-CoV-2 is a coronavirus described for the first time in China, in December 2019. This virus can cause a disease with a very variable spectrum that ranges from asymptomatic cases to deaths. The most severe cases are normally associated with comorbidities and with the age of the patient. However, there are patients who are not part of these risk groups and develop severe cases. Objetive: To determine the association between coinfections by SARS-CoV-2 and other respiratory viruses and their clincal outcome. Material and methods: RT-qPCR was performed to determine the presence of 16 respiratory viruses in 103 confirmed COVID-19 cases. Demographic and comorbid data were collected, and statistical analyzes were performed to determine associations with severity. Results: Of the 103 analyzed cases, 14 (13.6%) presented a coinfection, of these, 92% did not require hospitalization, even in those cases in which the patient presented advanced age and some comorbidities. Conclusions: These results suggest that coinfection of SARS-CoV-2 and other respiratory viruses is not related to a more severe form of COVID-19 and, in some cases, depending on the virus involved, it could even lead to a better prognosis. These findings lay the foundations for the development of new studies that could determine the biological mechanism of this phenomenon.
Introducción: el SARS-CoV-2 es un coronavirus que fue descrito por primera vez en diciembre de 2019 en Wuhan, China. Este virus causa una enfermedad que varía en un espectro de severidad que va desde casos asintomáticos hasta defunciones. Los casos más severos se asocian normalmente con algunas comorbilidades y con la edad del paciente. Sin embargo, existen pacientes que no son parte de estos grupos de riesgo y aun así desarrollan casos graves. Objetivo: determinar la asociación entre las coinfecciones por SARS-CoV-2 y otros virus respiratorios y su desenlace clínico. Material y métodos: se realizó RT-qPCR para determinar la presencia de 16 virus respiratorios en 103 casos confirmados de COVID-19. Se recolectaron datos demográficos y de comorbilidades, y se realizaron análisis estadísticos para determinar asociaciones con gravedad. Resultados: el 13.6% de los casos (14/103) presentaron alguna coinfección, de estos, el 92% nunca requirió ingreso hospitalario, aun en aquellos casos en los que el paciente presentara comorbilidades y edad avanzada. Conclusiones: estos resultados sugieren que la coinfección no está relacionada con un COVID-19 más grave y que, dependiendo del virus involucrado, incluso podría conducir a un mejor pronóstico. Estos hallazgos sientan las bases para nuevos estudios dirigidos a determinar el mecanismo biológico por el cual ocurre este fenómeno y a proponer las estrategias correspondientes para limitar la progresión a casos severos de COVID-19.
Subject(s)
COVID-19 , Coinfection , Coinfection/epidemiology , Diagnostic Tests, Routine , Humans , Real-Time Polymerase Chain Reaction , SARS-CoV-2ABSTRACT
BACKGROUND: With the arrival of chikungunya (CHIKV) and zika (ZIKV) viruses in Mexico, there was a decrease in diagnosed dengue virus (DENV) cases. During the first years of cocirculation (2015-2017), the algorithms established by epidemiological surveillance systems and the installed capacity limited us to one diagnostic test per sample, so there was an underestimation of cases until September 2017, when a multiplex algorithm was implemented. Therefore, the objective of this study was determine the impact of the introduction of CHIKV and ZIKV on the incidence of diagnosed DENV in endemic areas of Mexico, when performing the rediagnosis, using the multiplex algorithm, in samples from the first three years of co-circulation of these arboviruses. METHODOLOGY AND PRINCIPAL FINDINGS: For this, 1038 samples received by the Central Laboratory of Epidemiology between 2015 and 2017 were selected for this work. Viruses were identified by multiplex RT-qPCR, and the χ2 test was used to compare categorical variables. With the new multiplex algorithm, we identified 2.4 times the rate of arbovirosis as originally reported, evidencing an underestimation of the incidence of the three viruses. Even so, significantly less dengue was observed than in previous years. The high incidence rates of chikungunya and Zika coincided with periods of dengue decline. The endemic channel showed that the cases caused by DENV rose again after the circulation of CHIKV and ZIKV decreased. In addition, 23 cases of coinfection were identified, with combinations between all viruses. CONCLUSIONS AND SIGNIFICANCE: The results obtained in this study show for the first time the real impact on the detected incidence of dengue after the introduction of CHIKV and ZIKV in Mexico, the degree of underestimation of these arboviruses in the country, as well as the co-infections between these viruses, whose importance clinical and epidemiological are still unknown.
Subject(s)
Chikungunya Fever/epidemiology , Coinfection/epidemiology , Coinfection/virology , Dengue/diagnosis , Dengue/epidemiology , Zika Virus Infection/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Algorithms , Antibodies, Viral/blood , Child , Child, Preschool , Cross-Sectional Studies , Endemic Diseases , Female , Humans , Incidence , Infant , Infant, Newborn , Male , Mexico/epidemiology , Middle Aged , Young AdultABSTRACT
Introducción: el SARS-CoV-2 es un coronavirus que fue descrito por primera vez en diciembre de 2019 en Wuhan, China. Este virus causa una enfermedad que varía en un espectro de severidad que va desde casos asintomáticos hasta defunciones. Los casos más severos se asocian normalmente con algunas comorbilidades y con la edad del paciente. Sin embargo, existen pacientes que no son parte de estos grupos de riesgo y aun así desarrollan casos graves. Objetivo: determinar la asociación entre las coinfecciones por SARS-CoV-2 y otros virus respiratorios y su desenlace clínico. Material y métodos: se realizó RT-qPCR para determinar la presencia de 16 virus respiratorios en 103 casos confirmados de COVID-19. Se recolectaron datos demográficos y de comorbilidades, y se realizaron análisis estadísticos para determinar asociaciones con gravedad. Resultados: el 13.6% de los casos (14/103) presentaron alguna coinfección, de estos, el 92% nunca requirió ingreso hospitalario, aun en aquellos casos en los que el paciente presentara comorbilidades y edad avanzada. Conclusiones: estos resultados sugieren que la coinfección no está relacionada con un COVID-19 más grave y que, dependiendo del virus involucrado, incluso podría conducir a un mejor pronóstico. Estos hallazgos sientan las bases para nuevos estudios dirigidos a determinar el mecanismo biológico por el cual ocurre este fenómeno y a proponer las estrategias correspondientes para limitar la progresión a casos severos de COVID-19.
Background: SARS-CoV-2 is a coronavirus described for the first time in China, in December 2019. This virus can cause a disease with a very variable spectrum that ranges from asymptomatic cases to deaths. The most severe cases are normally associated with comorbidities and with the age of the patient. However, there are patients who are not part of these risk groups and develop severe cases. Objetive: To determine the association between coinfections by SARS-CoV-2 and other respiratory viruses and their clincal outcome. Material and methods: RT-qPCR was performed to determine the presence of 16 respiratory viruses in 103 confirmed COVID-19 cases. Demographic and comorbid data were collected, and statistical analyzes were performed to determine associations with severity. Results: Of the 103 analyzed cases, 14 (13.6%) presented a coinfection, of these, 92% did not require hospitalization, even in those cases in which the patient presented advanced age and some comorbidities. Conclusions: These results suggest that coinfection of SARS-CoV-2 and other respiratory viruses is not related to a more severe form of COVID-19 and, in some cases, depending on the virus involved, it could even lead to a better prognosis. These findings lay the foundations for the development of new studies that could determine the biological mechanism of this phenomenon.
Subject(s)
Humans , Male , Female , Respiratory Tract Diseases , Coinfection , SARS-CoV-2 , COVID-19 , Prognosis , Risk Groups , Health StrategiesABSTRACT
BACKGROUND: Acute respiratory infections are the leading cause of morbidity and mortality worldwide. Although a viral aetiological agent is estimated to be involved in up to 80% of cases, the majority of these agents have never been specifically identified. Since 2009, diagnostic and surveillance efforts for influenza virus have been applied worldwide. However, insufficient epidemiological information is available for the many other respiratory viruses that can cause Acute respiratory infections. METHODS: This study evaluated the presence of 14 non-influenza respiratory viruses in 872 pharyngeal exudate samples using RT-qPCR. All samples met the operational definition of a probable case of an influenza-like illness or severe acute respiratory infection and had a previous negative result for influenza by RT-qPCR. RESULTS: The presence of at least one non-influenza virus was observed in 312 samples (35.8%). The most frequent viruses were rhinovirus (RV; 33.0%), human respiratory syncytial virus (HRSV; 30.8%) and human metapneumovirus (HMPV; 10.6%). A total of 56 cases of co-infection (17.9%) caused by 2, 3, or 4 viruses were identified. Approximately 62.5% of all positive cases were in children under 9 years of age. CONCLUSION: In this study, we identified 13 non-influenza respiratory viruses that could occur in any season of the year. This study provides evidence for the prevalence and seasonality of a wide range of respiratory viruses that circulate in Mexico and constitute a risk for the population. Additionally, our data suggest that including these tests more widely in the diagnostic algorithm for influenza may reduce the use of unnecessary antibiotics, reduce the hospitalisation time, and enrich national epidemiological data with respect to the infections caused by these viruses.
