Differential diagnosis of coronavirus disease 2019 pneumonia or influenza A pneumonia by clinical characteristics and laboratory findings

Background: Pneumonia caused by the 2019 novel Coronavirus (COVID-2019) shares overlapping signs and symptoms, laboratory findings, imaging features with influenza A pneumonia. We aimed to identify their clinical characteristics to help early diagnosis. Methods: We retrospectively retrieved data for...

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Bibliographic Details
Main Authors: Chen, X.-Q (Author), Chu, J.-G (Author), He, Y.-W (Author), Liang, J. (Author), Lu, B.-B (Author), Lv, D.-F (Author), Mu, Q.-T (Author), Qian, G.-Q (Author), Weng, X.-B (Author), Ying, Q.-M (Author), Zhang, J.-H (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
age
Online Access:View Fulltext in Publisher
LEADER 04849nam a2201081Ia 4500
001 10.1002-jcla.23685
008 220427s2021 CNT 000 0 und d
020 |a 08878013 (ISSN) 
245 1 0 |a Differential diagnosis of coronavirus disease 2019 pneumonia or influenza A pneumonia by clinical characteristics and laboratory findings 
260 0 |b John Wiley and Sons Inc  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1002/jcla.23685 
520 3 |a Background: Pneumonia caused by the 2019 novel Coronavirus (COVID-2019) shares overlapping signs and symptoms, laboratory findings, imaging features with influenza A pneumonia. We aimed to identify their clinical characteristics to help early diagnosis. Methods: We retrospectively retrieved data for laboratory-confirmed patients admitted with COVID-19–induced or influenza A–induced pneumonia from electronic medical records in Ningbo First Hospital, China. We recorded patients' epidemiological and clinical features, as well as radiologic and laboratory findings. Results: The median age of influenza A cohort was higher and it exhibited higher temperature and higher proportion of pleural effusion. COVID-19 cohort exhibited higher proportions of fatigue, diarrhea and ground-glass opacity and higher levels of lymphocyte percentage, absolute lymphocyte count, red-cell count, hemoglobin and albumin and presented lower levels of monocytes, c-reactive protein, aspartate aminotransferase, alkaline phosphatase, serum creatinine. Multivariate logistic regression analyses showed that fatigue, ground-glass opacity, and higher level of albumin were independent risk factors for COVID-19 pneumonia, while older age, higher temperature, and higher level of monocyte count were independent risk factors for influenza A pneumonia. Conclusions: In terms of COVID-19 pneumonia and influenza A pneumonia, fatigue, ground-glass opacity, and higher level of albumin tend to be helpful for diagnosis of COVID-19 pneumonia, while older age, higher temperature, and higher level of monocyte count tend to be helpful for the diagnosis of influenza A pneumonia. © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC 
650 0 4 |a adult 
650 0 4 |a age 
650 0 4 |a albumin 
650 0 4 |a albumin blood level 
650 0 4 |a Article 
650 0 4 |a aspartate aminotransferase 
650 0 4 |a aspartate aminotransferase blood level 
650 0 4 |a body temperature 
650 0 4 |a C reactive protein 
650 0 4 |a China 
650 0 4 |a clinical characteristics 
650 0 4 |a clinical feature 
650 0 4 |a Clinical Laboratory Techniques 
650 0 4 |a cohort analysis 
650 0 4 |a coronavirus disease 2019 
650 0 4 |a COVID-19 
650 0 4 |a COVID-19 
650 0 4 |a creatinine 
650 0 4 |a creatinine blood level 
650 0 4 |a Diagnosis, Differential 
650 0 4 |a diagnostic imaging 
650 0 4 |a diarrhea 
650 0 4 |a differential diagnosis 
650 0 4 |a differential diagnosis 
650 0 4 |a differential diagnosis 
650 0 4 |a early diagnosis 
650 0 4 |a electronic medical record 
650 0 4 |a erythrocyte count 
650 0 4 |a fatigue 
650 0 4 |a female 
650 0 4 |a Female 
650 0 4 |a ground glass opacity 
650 0 4 |a hemoglobin 
650 0 4 |a hemoglobin blood level 
650 0 4 |a hospital admission 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a influenza A 
650 0 4 |a influenza A 
650 0 4 |a Influenza A virus 
650 0 4 |a Influenza A virus 
650 0 4 |a laboratory diagnosis 
650 0 4 |a laboratory technique 
650 0 4 |a Logistic Models 
650 0 4 |a lymphocyte count 
650 0 4 |a lymphocyte percentage 
650 0 4 |a major clinical study 
650 0 4 |a male 
650 0 4 |a Male 
650 0 4 |a middle aged 
650 0 4 |a Middle Aged 
650 0 4 |a monocyte percentage 
650 0 4 |a multivariate analysis 
650 0 4 |a Multivariate Analysis 
650 0 4 |a physiology 
650 0 4 |a pleura effusion 
650 0 4 |a pneumonia 
650 0 4 |a pneumonia 
650 0 4 |a Pneumonia 
650 0 4 |a protein blood level 
650 0 4 |a retrospective study 
650 0 4 |a risk factor 
650 0 4 |a Risk Factors 
650 0 4 |a SARS-CoV-2 
650 0 4 |a statistical model 
650 0 4 |a Tomography, X-Ray Computed 
650 0 4 |a virology 
650 0 4 |a virus pneumonia 
650 0 4 |a x-ray computed tomography 
700 1 |a Chen, X.-Q.  |e author 
700 1 |a Chu, J.-G.  |e author 
700 1 |a He, Y.-W.  |e author 
700 1 |a Liang, J.  |e author 
700 1 |a Lu, B.-B.  |e author 
700 1 |a Lv, D.-F.  |e author 
700 1 |a Mu, Q.-T.  |e author 
700 1 |a Qian, G.-Q.  |e author 
700 1 |a Weng, X.-B.  |e author 
700 1 |a Ying, Q.-M.  |e author 
700 1 |a Zhang, J.-H.  |e author 
773 |t Journal of Clinical Laboratory Analysis