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. 2020 Sep;92(9):1549-1555.
doi: 10.1002/jmv.25781. Epub 2020 Mar 30.

The clinical characteristics of pneumonia patients coinfected with 2019 novel coronavirus and influenza virus in Wuhan, China

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The clinical characteristics of pneumonia patients coinfected with 2019 novel coronavirus and influenza virus in Wuhan, China

Qiang Ding et al. J Med Virol. 2020 Sep.

Abstract

The outbreak of 2019 novel coronavirus (COVID-19) infection emerged in Wuhan, China, in December 2019. Since then the novel coronavirus pneumonia disease has been spreading quickly and many countries and territories have been affected, with major outbreaks in China, South Korea, Italy, and Iran. Influenza virus has been known as a common pathogen in winter and it can cause pneumonia. It was found clinically that very few patients were diagnosed with both COVID-19 and influenza virus. A total of 5 of the 115 patients confirmed with COVID-19 were also diagnosed with influenza virus infection, with three cases being influenza A and two cases being influenza B. In this study, we describe the clinical characteristics of those patients who got infected with COVID-19 as well as influenza virus. Common symptoms at onset of illness included fever (five [100%] patients), cough (five [100%] patients), shortness of breath (five [100%] patients), nasal tampon (three [60%] patients), pharyngalgia (three [60%] patients), myalgia (two [40%] patients), fatigue (two [40%] patients), headache (two [40%] patients), and expectoration (two [40%] patients). The laboratory results showed that compared to the normal values, the patients' lymphocytes were reduced (four [80%] patients), and liver functions alanine aminotransferase and aspartate aminotransferase (two [40%] patients and two [40%] patients) and C-reactive protein (four [80%] patients) were increased when admitted to hospital. They stayed in the hospital for 14, 30, 17, 12, and 19 days (28.4 ± 7.02), respectively. The main complications for the patients were acute respiratory distress syndrome (one [20%] patients), acute liver injury (three [60%] patients), and diarrhea (two [40%] patients). All patients were given antiviral therapy (including oseltamivir), oxygen inhalation, and antibiotics. Three patients were treated with glucocorticoids including two treated with oral glucocorticoids. One of the five patients had transient hemostatic medication for hemoptysis. Fortunately, all patients did not need intensive care unit and were discharged from the hospital without death. In conclusion, those patients with both COVID-19 and influenza virus infection did not appear to show a more severe condition because based on the laboratory findings, imaging studies, and patient prognosis, they showed similar clinical characteristics as those patients with COVID-19 infection only. However, it is worth noting that the symptoms of nasal tampon and pharyngalgia may be more prone to appear for those coinfection patients.

Keywords: COVID-19; clinical characteristics; coinfection; influenza virus.

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Conflict of interest statement

The authors declare that there are no conflict of interests.

Figures

Figure 1
Figure 1
The dynamic profile of laboratory findings in patients coexisting with COVID‐19 and influenza virus infection. Laboratory parameters were presented in three stages, including the admission stage, progression stage, and remission stage. A, White blood cell count. B, Neutrophil count. C, Lymphocyte count. D, Alanine aminotransferase. E, Albumin. F, Creatinine. G, C‐reactive protein. The solid lines in black show the upper normal limit of the laboratory parameter, and the solid line in red shows the lower normal limit of the laboratory parameter. COVID‐19, coronavirus disease 2019
Figure 2
Figure 2
The dynamic profile of CT images in patients coexisting with COVID‐19 and influenza virus infection. CT images were presented in three stages, including the admission stage, progression stage, and remission stage. A, Patient 1. B, Patient 2. C, Patient 3. D, Patient 4. E, Patient 5. COVID‐19, coronavirus disease 2019; CT, computed tomography

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