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Clinical characteristics and outcome of influenza virus infection among adults hospitalized with severe COVID-19: a retrospective cohort study from Wuhan, China

BMC Infectious Diseases volume 21, Article number: 341 (2021) Cite this article

Abstract

Background

Coronavirus disease 2019 (COVID-19) is an emerging infectious disease that rapidly spreads worldwide and co-infection of COVID-19 and influenza may occur in some cases. We aimed to describe clinical features and outcomes of severe COVID-19 patients with co-infection of influenza virus.

Methods

Retrospective cohort study was performed and a total of 140 patients with severe COVID-19 were enrolled in designated wards of Sino-French New City Branch of Tongji Hospital between Feb 8th and March 15th in Wuhan city, Hubei province, China. The demographic, clinical features, laboratory indices, treatment and outcomes of these patients were collected.

Results

Of 140 severe COVID-19 hospitalized patients, including 73 patients (52.14%) with median age 62 years were influenza virus IgM-positive and 67 patients (47.86%) with median age 66 years were influenza virus IgM-negative. 76 (54.4%) of severe COVID-19 patients were males. Chronic comorbidities consisting mainly of hypertension (45.3%), diabetes (15.8%), chronic respiratory disease (7.2%), cardiovascular disease (5.8%), malignancy (4.3%) and chronic kidney disease (2.2%). Clinical features, including fever (≥38 °C), chill, cough, chest pain, dyspnea, diarrhea and fatigue or myalgia were collected. Fatigue or myalgia was less found in COVID-19 patients with IgM-positive (33.3% vs 50/7%, P = 0.0375). Higher proportion of prolonged activated partial thromboplastin time (APTT) > 42 s was observed in COVID-19 patients with influenza virus IgM-negative (43.8% vs 23.6%, P = 0.0127). Severe COVID-19 Patients with influenza virus IgM positive have a higher cumulative survivor rate than that of patients with influenza virus IgM negative (Log-rank P = 0.0308). Considering age is a potential confounding variable, difference in age was adjusted between different influenza virus IgM status groups, the HR was 0.29 (95% CI, 0.081–1.100). Similarly, difference in gender was adjusted as above, the HR was 0.262 (95% CI, 0.072–0.952) in the COX regression model.

Conclusions

Influenza virus IgM positive may be associated with decreasing in-hospital death.

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Background

In December 2019, a novel coronavirus with high similarity to the coronavirus responsible for severe acute respiratory syndrome (SARS-CoV) appeared and was later named as SARS-CoV-2 [1,2,3]. In 2020, the World Health Organization (WHO) announced that the pandemic of Coronavirus disease 2019 (COVID-19) has constituted a public health emergency of international concern [4].

Previous studies have focused primarily on COVID-19 patients’ clinical features with fever accompanied with respiratory and/or gastrointestinal symptoms, and so on [5, 6], which were highly similar to the clinical manifestation of influenza like illness (ILI). ILI may occur in population as co-infection of SARS-CoV-2 and influenza virus during the pandemic. Sustained surveillance of ILI has been implemented by Centers for Disease Control and Prevention (CDC) [7,8,9] and the co-infection of influenza viruses and SARS-CoV-2 was possible at 2019–2020 influenza season [2, 10]. According to previous study, influenza virus-specific antibody responses following influenza infection rises in HA-specific serum IgM (86 to 94%) antibodies after primary influenza virus infection in adults [11]. Therefore, HA-specific serum IgM can be identified as the marker of influenza virus infection in COVID-19 patients. The aims of this study were to describe the clinical features and outcomes of hospitalized COVID-19 patients, who were also positive of influenza virus IgM.

Methods

Study design

This was a retrospective cohort study which was performed during Feb 8th to March 15th at wards designated for patients with COVID-19 in the Sino-French New City Branch of Tongji Hospital in Wuhan city, Hubei province, China. Total of 140 patients diagnosed of COVID-19 pneumonia was enrolled from two wards managed by multidisciplinary team from Beijing Hospital and First Hospital attached to Jilin University (Fig. 1). The study was approved by Ethics Committee of Beijing Hospital (2020BJYYEC-046-01).

Fig. 1
figure 1

Flowchart

Full size image

The inclusion criteria: throat-swab specimen from upper respiratory tract that were obtained and tested by RT-PCR for confirmation of SARS-CoV-2 as the same protocol described previously [1, 12]; pneumonia confirmed by thoracic CT scan [13], an oxygen saturation (SaO2) of 94% or less while they were breathing ambient air or a ratio of the partial pressure of oxygen (PaO2) to the fraction of inspired oxygen (FiO2) at or below 300 mmHg [14]. Exclusion criteria included without examined influenza virus IgM in the first 24 h in hospital, sudden death within 24 h.

Data collection

All the data from electronic medical records were reviewed by experienced physicians separately and checked by 2 physicians independently. The baseline of clinical data was recorded in the first 24 h after administration and all interventions and the highest level of oxygen support during hospitalization were recorded.

Throat swab samples were collected for SARS-CoV-2 detection from patients by local Centers for Disease Control and Prevention, local health institutions. The PCR re-examination was conducted by throat-swab specimens after clinical remission of symptoms, including fever, cough, and dyspnea. A patient was allowed to discharge if he was clinical improvement and two throat-swab samples negative for SARS-CoV-2 RNA obtained at least 24 h apart [14]. Peripheral blood samples from patients were taken for identification of influenza virus-specific antibody IgM which responses following influenza infection and detected by indirect immunofluorescence assay (Respiratory tract 8 joint detection kit; EUROIMMUN, Inc., Germany) [11, 15, 16].

Statistical analysis

Descriptive analyses of the variables were expressed as median (interquartile range [IQR]) or number (%) and compared using Mann-Whitney test. Categorical data were compared using X2 test or the Fisher exact test, where appropriate. The patients’ characteristics of deaths verses discharged and death/discharge & influenza IgM positive/negative were also described and shown in Supplementary Table 1 and 2. Kaplan-Meier curve was portrayed by influenza virus IgM positive/negative to describe the cumulative survival rate of COVID-19 patients. COX regression model was fitted to investigate the association between influenza virus IgM positive and the in-hospital death. To avoid overfitting, at most two covariates were allowed to the model and we adjusted for age and gender respectively in the model. Adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were then estimated. All tests were 2-sides, and a P value less than .05 was considered statistically significant. All analyses were performed with SPSS, version 23.0 (IBM inc.).

Results

Baseline characteristics

A total of 140 adult patients confirmed with COVID-19 from designated hospital was enrolled in this study, with 73 patients (52.14%) were identified as influenza virus IgM-positive. 76 (54.4%) of the COVID-19 patients were males. The median age of patients with influenza virus-IgM negative was 66 years (IQR, 55 to 70 years), older than patients with influenza virus IgM-positive (median age 62, IQR, 47 to 70 years, P = 0.1118). Chronic comorbidities consisting mainly of hypertension (45.3%), diabetes (15.8%), chronic respiratory disease (7.2%), cardiovascular disease (5.8%), malignancy (4.3%) and chronic kidney disease (2.2%). Clinical features, including fever (≥38 °C), chill, cough, chest pain, dyspnea, diarrhea and fatigue or myalgia were collected. Fatigue or myalgia was less found in COVID-19 patients with IgM-positive (33.3% vs 50/7%, P = 0.0375). (Table 1).

Table 1 Clinical Characteristics of COVID-19 Patients with and Without Influenza IgM positive
Full size table

Laboratory findings

Higher proportion of prolonged activated partial thromboplastin time (APTT) > 42 s was observed in COVID-19 patients with influenza virus IgM-negative (43.8% vs 23.6%, P = 0.0127). (Table 1) Counts of lymphocytes and platelets were significantly lower, while aspartate aminotransferase (AST), creatinine, lactate dehydrogenase (LDH), troponin, NT-proBNP, C-reactive protein (CRP), interleukin-6 (IL-6), ferritin, prothrombin time (PT), APTT and D-Dimer were significantly higher in dead cases (all P < 0.05). (Supplementary Table 1).

Treatment and outcomes

43.6% of the patients received nasal cannula, 2.1% oxygen mask, 49.3% non-invasive mechanical ventilation (NMV)/high-flow nasal cannula (HFNC) and 8.6% invasive mechanical ventilation (IMV)/extracorporeal membrane oxygenation (ECMO). Compound Methoxamine capsule were used in more patients with influenza IgM positive than the other group (23.3% vs 9.0%, P = 0.0222). (Table 2) higher levels of respiratory support were more seen in dead patients, especially those with influenza IgM positive. (supplementary Table 1 and supplementary Table 2)

Table 2 Treatment and prognosis of COVID-19 Patients with and Without Influenza IgM positive
Full size table

According to the score of CURB-65, more COVID-19 patients with influenza IgM positive group were in low to moderate risk level (P = 0.0397). No differences were observed in the duration of viral shedding, the length of hospital stay and time from illness onset to discharge between groups. 9.3% of the patients died in hospital and the rate of death was significantly lower in patients with IgM positive than those with IgM negative (4.1% vs 14.9%, P = 0.0276). (Table 2).

Severe COVID-19 Patients with influenza virus IgM positive have a higher cumulative survivor rate than that of patients with influenza virus IgM negative (Log-rank P = 0.0308). Considering age is a potential confounding variable, difference in age was adjusted between different influenza virus IgM status groups, the HR was 0.29 (95% CI, 0.081–1.100). Similarly, difference in gender was adjusted as above, the HR was 0.262 (95% CI, 0.072–0.952) in the COX regression model. (Fig. 2).

Fig. 2
figure 2

Kaplan-Meier curve for portraying the cumulative survival rate of COVID-19 patients

Full size image

Discussion

In this retrospective cohort study, we described the clinical features and outcomes of hospitalized COVID-19 patients with different influenza virus IgM status. We found that influenza virus IgM positive may be associated with decreasing in-hospital death. Fatigue and myalgia were less presented in COVID-19 patients with influenza virus IgM positive. It is the first time for influenza virus IgM to be a prognostic factor of COVID-19.

Previous studies reported cases with co-infection of SARS-CoV-2 and influenza showed the implications of co-infection during the pandemic area [17,18,19,20]. It was necessary to assess the effect of the SARS-CoV-2 and influenza co-infection in clinical outcomes. Previous studies demonstrated that influenza virus-specific IgM antibody responses follow primary influenza virus infection in adults [11, 21]. Serological confirmation of a clinical diagnosis is by demonstration of greater rise in functional strain specific antibody titer. Specific neutralizing antibody can be detected from about 10 to 14 days post infection, reaches a plateau at around 28 days and decreased to normal level around a month and a half. This test uses nucleocapsid antigens that are type-specific and can distinguish A from B and C infections. Due to the huge task of rapid tests for SARS-CoV-2 and the absence of widely available testing methods, thousands of patients were diagnosed of COVID-19 without identification of co-infection pathogens at the initial period. During the epidemic of seasonal influenza and other respiratory illness, our concern is on the possibility of the co-infection of virus. Therefore, influenza virus IgM antibody may help us review these cases. The outbreak of COVID-19 may occur during influenza season, which brings difficulty in prevention, diagnosis and treatment. Increasing number of literatures has been demonstrating that influenza virus infection may trigger non-neutralizing antibodies responses which also binds to pathogens as diverse as HIV-1, herpes simplex virus and Ebola [22,23,24,25,26,27,28]. Some other researches showed that influenza vaccination could reduce cardiovascular morbidity and mortality in patients with COVID-19 [29] Therefore, some potential mechanisms including active immunity or passive immunity may involve in the virus immunity for exhibition its protective effects. In this study, influenza virus IgM positive showed as a protective effector in severe COVID-19 patients associated with better prognosis and higher cumulative survivor rate. Considering the potential confounding variables, age and gender were adjusted between different influenza virus IgM status groups, respectively. After that, the potential protective effects influenza virus IgM positive in severe COVID-19 patients were observed If patients are suspected ILI, especially suffering from virus infection, a prompt test, like a one-time diagnostic panel for the respiratory virus nucleic acid, antigen or serological detection of virus specific IgM/ IgG, should be the first step with an expanded detectable rang towards confirming diagnosis, which help in making early and effective prevention and treatment strategy.

The strengths of this study include adults hospitalized with diagnosis of COVID-19, the retrospective cohort design, standardized patient screening in the participating, and centralized confirmation of respiratory viruses and other laboratory indices. Our study has several limitations. Firstly, a large number of patients were continually being admitted to hospital, but the sample size of our study is still limited. Secondly, our study was conducted in a local hospital in Wuhan, which may result in biases. Especially consideration of influenza season, it may become epidemic of different type in different regions. Thirdly, this cohort study did not last for a long time. Missing information of death status at discharge and initial influenza virus IgM status may influence the demographics and available clinical characteristics between included and excluded patients. Thus, the results may partly help us recognize co-infection of influenza and SARS-CoV-2. Further studies focused on the co-infectious pathogens, the treatment and prevention will be needed.

Conclusions

Influenza virus IgM positive may be associated with decreasing in-hospital death. The co-infection of SARS-CoV-2 and influenza virus may occur by causing a crisis and we need to improve our understanding for confronting it in the future.

Availability of data and materials

The data used for the current study will be available based on a reasonable request from the lead author Dr. Yanming Li (lymyl@263.net).

Abbreviations

APTT:

Activated partial thromboplastin time

CDC:

Centers for disease control and prevention

COVID-19:

Coronavirus disease 2019

ECMO:

Extracorporeal membrane oxygenation

eGFR:

Estimated glomerular filtration rate

ELISA:

Enzyme-linked immunosorbent assay

FiO2:

Fraction of inspired oxygen

HA:

Hemagglutinin

HFNC:

High-flow nasal cannula

ILI:

Influenza like illness

IQR:

Interquartile range

LDH:

Lactate dehydrogenase

MV:

Mechanical ventilation

NMV:

Noninvasive methods of mechanical ventilation

NT-proBNP:

N-terminal pro brain natriuretic peptide

PaO2:

Partial pressure of oxygen

PT:

Prothrombin time

RT-PCR:

Reverse-transcriptase–polymerase chain-reaction

SARS-CoV:

Severe acute respiratory syndrome- coronavirus

SARS-CoV-2:

Severe acute respiratory syndrome- coronavirus − 2

WHO:

World Health Organization

ALT:

Alanine transaminase

AST:

Aspartate aminotransferase

CRP:

C-reactive protein

IL-6:

Interleukin-6

FIB:

Fibrinogen

NMV:

Non-invasive mechanical ventilation

IMV:

Invasive mechanical ventilation

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Acknowledgments

The authors thank Academician Chen Wang for his guidance and assistance with this work.

Funding

This project was supported by project grant 81870013 from the National Natural Science Foundation of China; and grant 7202178 from the Natural Science Foundation of Beijing.

Author information

Author notes

  1. Xunliang Tong and Xiaomao Xu contributed equally to this work.

Authors and Affiliations

  1. Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, the Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China

    Xunliang Tong, Xiaomao Xu, He Wang, Yue Zhang & Yanming Li

  2. First Department of Hepatobiliary & Pancreas Surgery, The First Hospital, Jilin University, Jilin, 130021, Changchun, China

    Guoyue Lv

  3. Tobacco Medicine and Tobacco Cessation Center, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China

    Anqi Cheng

  4. WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China

    Anqi Cheng

  5. National Clinical Research Center for Respiratory Diseases, Beijing, China

    Anqi Cheng

  6. Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China

    Anqi Cheng

  7. Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China

    Dingyi Wang & Guohui Fan

  8. Institute of Respiratory Medicine, Chinses Academy of Medical Sciences; National Clinical Research Center for Respiratory Disease, Beijing, China

    Dingyi Wang & Guohui Fan

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Contributions

YL and XT contributed to the conception and design of the study and interpretation of the results and drafted the manuscript. XT, XX, GL and HW contributed to the acquisition of the data and revision of the manuscript for important intellectual content. AC, YZ, GF and DW performed the statistical analysis and revised the manuscript for important intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yanming Li.

Ethics declarations

Ethics approval and consent to participate

The study was approved by Ethics Committee of Beijing Hospital (2020BJYYEC-046-01).

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Supplementary Table 1

. Clinical Characteristics of COVID-19 Patients by death or discharge

Additional file 2: Supplementary Table 2

. Clinical Characteristics, treatment and prognosis of COVID-19 Patients by death and influenza IgM+/−

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Tong, X., Xu, X., Lv, G. et al. Clinical characteristics and outcome of influenza virus infection among adults hospitalized with severe COVID-19: a retrospective cohort study from Wuhan, China. BMC Infect Dis 21, 341 (2021). https://doi.org/10.1186/s12879-021-05975-2

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  • DOI: https://doi.org/10.1186/s12879-021-05975-2

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BMC Infectious Diseases

ISSN: 1471-2334

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