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

Abstract

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.

Distinguishing COVID-19 from seasonal influenza in patients under age 65 years—a retrospective observational cohort study comparing the 2009 influenza A (H1N1) and 2022 SARS-CoV-2 pandemics

“…Logistic regression analysis showed that fever, cough, headache, and 1-unit (10 9 /L) increased WBC count probabilities in patients with the 2009 pandemic influenza A (H1N1) were 18.689, 3.853, 16.649, and 1.228 times higher, respectively, than in those with Omicron. This differs from previous studies ( Li et al., 2021 ; Lv et al., 2021 ) in which more symptoms like fever and cough occurred with the original COVID-19 strain infection. However, the 2009 pandemic influenza A (H1N1) infection was less likely to cause muscle soreness and LDH abnormalities (probabilities of 0.102 and 0.373 times that of Omicron, respectively).…”

COVID-19 or seasonal influenza? How to distinguish in people younger than 65 years old — — A retrospective observational cohort study comparing the 2009 pandemic influenza A H1N1 with 2022 SARS-CoV-2 Omicron BA.2 outbreaks in China

“…By Logistic regression analysis, we found if the patient had fever, cough, headache, or 1 unit (10^9/L) increasement of white blood cell count, the probability of H1N1 was 18.689, 3.853, 16.649, 1.228 times higher than that of Omicron. This was obviously different from previous studies [40,41] in which there were more symptoms such as fever and cough after COVID-19 wild strain infection. H1N1 was less likely to cause muscle soreness and LDH abnormalities (the probability was 0.102 and 0.373 times that of Omicron, respectively).…”

Classification of Pneumonia and Covid-19 using Convolutional Neural Network

“…Data required for this project was freely available online. Data was collected from Mendeley Data [9] which has a collection 5228 images of labeled data that are divided into 3 sub-folders, namely COVID-19, NORMAL and PNEUMONIA. The images contained in each subfolder which we used to train our pre-trained CNN model are as shown in table 1: Normalization is a process to bring something to a normal state or condition.…”

“…Coronavirus pneumonia spreads across our lungs gradually, utilizing our own safe framework to spread, which will in general endure longer and cause harm in additional spots. Different pneumonias cause intense sickness side effects that come on at the same time however don't keep going as lengthy [1,9]. The other differentiating characteristics of Covid-19 and Pneumonia are: Contagiousness: Pneumonia without the infection of coronavirus is not contagious.…”

“…Infection Category: Pneumonia infects one part of the lung. But in COVID-19, the whole lung gets infected which leads to other complications such as rapid heartbeat, and difficulty in breathing [9]. Characterization of Pneumonia and Coronavirus utilizing CNN is centered on building the profound learning model that will help in the grouping of Coronavirus and Pneumonia utilizing chest X-beam pictures, in one of the quick and financially savvy ways.…”