Differences in Clinical Characteristics and Chest Images between Coronavirus Disease 2019 and Influenza-Associated Pneumonia
1
Division of Infectious Diseases, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Korea
2
Department of Pulmonology Diseases, Gyeongsangnam-do Masan Medical Center, Changwon 51264, Korea
3
Department of Radiology, Gyeongsangnam-do Masan Medical Center, Changwon 51264, Korea
4
Division of Infectious Diseases, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Korea
*
Author to whom correspondence should be addressed.
Diagnostics 2021, 11(2), 261; https://doi.org/10.3390/diagnostics11020261
Submission received: 3 January 2021
/
Revised: 4 February 2021
/
Accepted: 4 February 2021
/
Published: 8 February 2021
(This article belongs to the Special Issue Imaging of Infections and Inflammatory Diseases)
Abstract
:Background: Concerns are arising about the simultaneous occurrence of the coronavirus disease 2019 (COVID-19) pandemic and the influenza epidemic, the so-called “twindemic”. In this study, we compared clinical characteristics and chest images from patients with COVID-19 and influenza. Methods: We conducted a case-control study of COVID-19 and age- and sex-matched influenza patients. Clinical characteristics and chest imaging findings between patients with COVID-19 and matched influenza patient controls were compared. Results: A total of 47 patients were enrolled in each group. Anosmia (14.9%) and ageusia (21.3%) were only observed in COVID-19 patients. There were 31 (66%) and 23 (48.9%) patients with COVID-19 and influenza who had pulmonary lesions confirmed by chest computed tomography (CT), respectively. The interval between symptom onset and pneumonia was significantly longer in patients with COVID-19. Round opacities were more common in images from COVID-19 patients (41.9% vs. 8.7%, p = 0.007), whereas pure consolidation (0% vs. 34.9%, p < 0.001) and pleural effusion (0% vs. 17.4%, p = 0.028) were more common in images from influenza patients. Notably, the difference in the number of involved pulmonary lobes observed on CT and pulmonary fields observed on radiographic images was significantly higher in COVID-19-associated pneumonia than that in influenza-associated pneumonia (2.32 ± 1.14 vs. 1.48 ± 0.99, p = 0.010). Conclusions: Chest images and thorough review of clinical findings could provide value for proper differential diagnoses of COVID-19 patients, but they are not sufficiently sensitive for initial diagnoses. In addition, chest radiography could underestimate COVID-19 lung involvement because of the lesion characteristics of COVID-19-associated pneumonia.
1. Introduction
Since the first case was reported in Wuhan, China, in December 2019, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread worldwide, with more than 39 million confirmed cases on 17 October 2020 [1,2]. Recent studies have described the distinctive clinical characteristics and images of COVID-19 compared to other respiratory viral diseases, and chest computed tomography (CT) could help the diagnosis and outcome prediction of patients with COVID-19 [3,4,5]. Although a diagnosis cannot be achieved on the basis of imaging features alone, identifying specific viral pneumonia patterns may enable differentiation between viral pathogens [6]. In addition, concerns are arising about the simultaneous occurrence of the COVID-19 pandemic and the influenza epidemic, the so-called “twindemic”, as the COVID-19 pandemic is continuing more aggressively [7]. Therefore, a proper differential diagnosis of the two diseases can be an important factor in improving a patient’s prognosis and maintaining a national health system.
In this study, we described and compared the clinical characteristics and chest images from patients with COVID-19-associated pneumonia and influenza-associated pneumonia to evaluate their clinical usefulness.
2. Patients and Methods
2.1. Study Population
We conducted a case-control study of COVID-19 and age- and sex-matched influenza patients. Only adult patients (≥18 year-old) were included. Case patients with COVID-19 who had undergone chest CT were retrospectively enrolled from the Masan Medical Center (MMC) between 25 February 2020 and 1 April 2020. Since February 2020, the MMC has been a dedicated national center in Korea for the management of confirmed COVID-19 patients with mild-to-moderate disease severity. Control patients with influenza who had undergone chest CT were retrospectively enrolled from the Samsung Changwon Hospital, a secondary care academic hospital, from January 2016 to March 2020. A confirmed case of SARS-CoV-2 infection was diagnosed by COVID-19 case definitions from the World Health Organization [2]. In this study, SARS-CoV-2 infections were confirmed with RT-PCR, and influenza was diagnosed with a rapid influenza diagnostic test or a multiplex PCR test for the respiratory virus. Additional fever studies were decided and prescribed by the attending physician for each patient. The usual practice for fever and/or pneumonia study included two sets of blood culture and sputum culture. Patients without chest CT and those with interstitial lung disease were excluded from our study.
2.2. Chest Images and Clinical Data Acquisition
A baseline digital posteroanterior or anteroposterior chest radiography was taken for all of the study participants at full inspiration using a chest radiograph machine (Innovision-SH, DK, Seoul, Korea; Sirium 130HP mobile X-ray machine, Hitachi, Ltd., Chiyoda-ku, Tokyo, Japan).
Patients with abnormal findings on chest radiography or desaturation (SpO2 < 95% measured by pulse oximetry) were indicated for chest CT. Chest CT was conducted using a 16-slice Philips Brilliance multi-slice CT scanner with the following parameters: tube voltage of 120 kV, tube current-exposure time product of 150 mAs, scan thickness of 5 mm, and reconstruction thickness of 5 mm. Chest CT sections were obtained. Images were obtained and compared with both mediastinal (width, 350–450 HU; level, 20 to 40 HU) and parenchymal (width, 1200–1600 HU; level, −500 to 700 HU) window setting. Clinical data and laboratory data of patients were collected from electronic medical records. Because of data incompleteness, only patients with pneumonia having a laboratory test in each group were compared. The severity of diseases was evaluated by the National Early Warning Score (NEWS) [8].
2.3. Image Interpretation
An attending radiologist and a physician evaluated the chest radiographs and CT images by consensus. In the chest CT evaluation, the involved pulmonary lobe and the shape, density, and the axial location of the lung lesion were recorded. If a lesion was located in the outer one-third of the lung, it was classified as peripherally located. If the lesion was located in the inner two-thirds of the lung, it was classified as centrally located, consistent with a previous study [9]. Lung involvement on chest radiographs was recorded according to the following five fields: right upper, right middle, right lower, left upper/middle, and left lower lung.
2.4. Statistical Analysis
All statistical analyses were performed using SPSS 23.0 for Window (IBM Corp., 2015, Chicago, IL, USA). To compare characteristics between COVID-19-associated pneumonia and influenza-associated pneumonia groups, Student’s t-test or Mann–Whitney test was used to compare continuous variables of two groups, and one-way ANOVA or Kruskal–Wallis test was used to compare continuous variables of multiple groups. Categorical variables were compared by using the chi-square test or Fisher’s exact test. All p values were two-tailed, and p values < 0.05 were considered statistically significant.
3. Results
3.1. Study Population and Clinical Findings
A total of 47 patients were enrolled in both the COVID-19 group and the influenza group. No co-infection was documented in the COVID-19 group, however, respiratory syncytial virus (one case) and Haemophilus influenzae (one case) were suspected co-infections in the influenza group. The female to male ratio in each cohort was 3:2. Ages were similar in both groups (49.04 ± 13.87 and 49.23 ± 14.33 years in the COVID-19 group and the influenza group, respectively). The timing of symptoms onset in patients of the COVID-19 and influenza group before conducting chest CT ranged from −3 to 29 days and 1 to 15 days, respectively. NEWS was higher in the influenza group (median 3, interquartile range (IQR) 2–5) than the COVID-19 group (median 1, IQR 0–2) (p < 0.001).
The most common symptoms were fever/chill (66.0% vs. 80.9%, p = 0.102) and cough (36.2% and 46.8%, p = 0.403) in both groups. Anosmia (14.9% vs. 0 %, p = 0.012) and ageusia (21.3% vs. 0%, p = 0.001) were only presented in patients with COVID-19 infection (Table 1).
3.2. Chest Images and Laboratory Findings
Among the patients with COVID-19 and influenza, only 31 (66%) and 23 (48.9%) patients, respectively, had pulmonary lesions confirmed by chest CT. The interval between symptom onset and CT scan was significantly longer in patients with COVID-19-associated pneumonia (median 10 days vs. 2 days, p > 0.001).
Among patients with pneumonia, 12 with COVID-19 (12/31, 38.7%) and 9 (9/23, 39.1%) with influenza-associated pneumonia were not evaluated by chest radiography. No differences were observed between COVID-19-associated pneumonia and influenza-associated pneumonia patients in the number of involved pulmonary lobes (3.39 ± 1.61 vs. 3.17 ± 1.37, p = 0.530) in chest CT or pulmonary fields (1.06 ± 1.15 vs. 1.70 ± 1.66, p = 0.182) in chest radiography. The right and left lower lobes were most frequently involved in both groups. Both COVID-19-associated pneumonia and influenza-associated pneumonia mostly presented as pure glass-ground opacity (GGO) on chest CT (58.1% vs. 39.1%, p = 0.169); however, no pneumonia with pure consolidation was observed in COVID-19 images (0% vs. 34.9%; p < 0.001). Round opacities were more frequently observed in COVID-19-associated pneumonia (41.9% vs. 8.7%; p = 0.007), and pleural effusion was only seen in influenza-associated pneumonia (0% vs. 17.4%, p = 0.028). Pulmonary lesions tended to be located more peripherally in COVID-19 than in influenza (61.3% vs. 43.5%; p = 0.194). Notably, the difference in the number of involved pulmonary lobes observed on CT and pulmonary fields observed on radiographic images was significantly higher in COVID-19-associated pneumonia than that in influenza-associated pneumonia (2.32 ± 1.14 vs. 1.48 ± 0.99, p = 0.010) (Table 2).
Table 3 describes the results of patients having laboratory tests between COVID-19-associated pneumonia and influenza-associated pneumonia. Whereas leukocytosis (0% vs. 40.9%) was more frequently observed in influenza-associated pneumonia, leukopenia was more common in COVID-19-associated pneumonia (18.5% vs. 4.5%) (p < 0.001). Patients with influenza-associated pneumonia showed more elevated C-reactive protein (CRP) than those with COVID-19-associated pneumonia (44.4% vs. 90.9%, p = 0.001).
4. Discussion
Our study demonstrates that significant differences exist between features identified in CT images of COVID-19-associated pneumonia and influenza-associated pneumonia. Additionally, we documented meaningful discordance between chest radiographs and CT scans in patients with COVID-19-associated pneumonia. Our findings show that chest radiographs did not reflect the actual status of patients with COVID-19-associated pneumonia. In addition, unique symptoms of COVID-19, such as anosmia, ageusia, and later onset of pneumonia, could differentiate COVID-19 patients from influenza patients.
Typical and frequently observed CT imaging findings from patients with COVID-19 have been previously described, and include GGO, bilateral lesions, peripheral distribution, and multi-lobular involvement [3,9,10]. The most common characteristic in CT images from patients with influenza-associated pneumonia was GGO, which is similar to COVID-19; however, unlike COVID-19, GGO in influenza-associated pneumonia is distributed relatively uniformly over both peripheral and central areas. In addition, confluent consolidation and pleural effusion have been frequently reported in influenza-associated pneumonia [6,11]. Meanwhile, several Chinese studies have directly compared CT findings of COVID-19-associated pneumonia with influenza associated-pneumonia [12,13,14]. For example, Liu et al. reported that COVID-19-associated pneumonia had more rounded opacities (35% vs. 17%) and interlobular septal thickening (66% vs. 43%). In contrast, influenza-associated pneumonia had more pleural effusion (6% vs. 31%) [12]. Another study indicated that pulmonary lesions of COVID-19-associated pneumonia were located more peripherally than that of influenza [13]. In accordance with the previous studies, we found that rounded opacity was more frequently observed in COVID-19-associated pneumonia, whilst consolidative lesion and pleural effusion were more frequently observed in influenza-associated pneumonia. Interestingly, COVID-19-associated pneumonia showed a similar number of involved pulmonary lobes even with less severe symptoms than those with influenza-associated pneumonia. In addition, only 61.3% (19/31) of chest radiographs could detect COVID-19-associated pneumonia confirmed by chest CT. These findings related to chest image could explain our novel finding of the study that COVID-19 lung involvement was highly underestimated in chest radiograph analyses compared to chest CT. These outcomes could possibly be related to the characteristics of COVID-19 pulmonary lesions, such as GGO, peripheral location, and the absence of pleural effusion.
An early study from China suggested that chest CT sensitivity was 97% based on positive COVID-19 RT-PCR results [15]. In the study, patients were all from the central area of the outbreak of COVID-19 in Wuhan, China. However, our study demonstrated that chest CT could provide a diagnosis in only 66% of patients with COVID-19. This finding is consistent with that of a previous study [10], in which only 44% of patients with early COVID-19 infection showed pulmonary lesions in chest CT images. Korean response system using extensive viral screening of COVID-19 and rapid contact tracing resulted in the early detection of confirmed patients [16]. Because viral shedding of COVID-19 begins early or even before symptoms appear [17], CT scan diagnoses might be less sensitive than the current RT-PCR method in the patients who were in the early stages. In addition, our study showed that patients with COVID-19-associated pneumonia had a longer interval from symptoms onset to pneumonia. A previous study reported that clinical stages of COVID-19 disease could be classified by early (stage 1), pulmonary (stage 2), and hyper-inflammation phase (stage 3) [18]. Pneumonia usually occurs in stage 2, which corresponds to 7–8 days from the onset of symptoms [16,18,19]. In contrast, prior data suggest influenza-associated pneumonia usually occurs 2–5 days after typical influenza symptom onset [20,21]. One French study emphasized that clinical aggravation was later in patients with COVID-19 than influenza [22]. Therefore, these findings suggest that COVID-19-associated pneumonia might develop later from the onset of symptoms than influenza pneumonia. The American College of Radiology recommends the use of chest radiographs and CT scans for suspected COVID-19 infection only in limited circumstances [23]. Therefore, chest CT scans may be most helpful for providing information to prioritize pneumonia patients for COVID-19 tests, rather than for early diagnoses, particularly when resources are limited. Although our study did not evaluate the diagnostic performance of lung ultrasound, lung ultrasounds have been previously studied for diagnosing and evaluating the clinical course of patients with COVID-19. A prior study reported that point-of-care lung ultrasound had a sensitivity of 89% and specificity of 59% [24]. Even though there is no known pathognomic ultrasound finding for COVID-19, ultrasound can detect pulmonary dynamics for patients with COVID-19 [25]. Therefore, lung ultrasound should be considered an important image modality for diagnosing and managing COVID-19 infection without exposure to radiation.
In addition to the difference in radiologic findings, clinical differences between COVID-19 and influenza were observed in this study. Anosmia and ageusia were significantly different symptoms between each group. Among laboratory findings, leukocytosis and leukopenia were predominant in patients with influenza-associated and COVID-19-associated pneumonia, respectively. This was in line with prior studies that reported frequently observed leukopenia and anosmia in patients with COVID-19 infection [22,26]. These findings suggest that a thorough review of the clinical presentations and laboratory findings of each patient could give diagnostic clues for differentiating COVID-19 and influenza among patients with respiratory symptoms.
Our study had several limitations. First, the disease severity of COVID-19 appeared lower than that of influenza in the controls. The low-severity of COVID-19 could be related to the discordance between chest radiographs and CT images. For example, consolidation is dominantly observed in severe and late-stage COVID-19-associated pneumonia. [3] Because only mild-to-moderate COVID-19 patients were managed in our medical center, no pure consolidation was observed in the chest CT of patients with COVOD-19-associated pneumonia. Frequently observed CRP elevation in influenza-associated pneumonia seemed to be associated with disease severity. Consequently, our findings could not be generalized to patients with severe pneumonia. However, our study showed an interesting finding in that numerically more pneumonia was observed in COVID-19 patients with lesser severity compared to influenza patients. This might reflect the disease characteristics of COVID-19 compared to influenza. Second, there was a difference in the timing of symptoms onset before conducting CT in COVID-19 and influenza patients. This could be a bias for a matched case-control study. However, our study and other prior studies have shown that the onset of pneumonia and disease aggravation was different between patients with COVID-19-associated pneumonia and influenza-associated pneumonia. This suggests that matching the timing of CT evaluation might not be appropriate for our study. Third, the genotype of SARS-CoV-2 and influenza was not evaluated. The possibility of differences in the characteristics of chest images according to different genotypes cannot be excluded.
Finally, due to the limitation of retrospective study design, the probability of co-infection caused by atypical bacteria was not fully investigated. However, the characteristics of our study populations were in line with prior studies, and this limitation might not distort real clinical circumstances.
In conclusion, chest images and thorough review of clinical presentations could provide value for proper differential diagnoses between COVID-19-associated pneumonia and influenza-associated pneumonia and help improve clinical outcomes of patients with a respiratory viral illness in preparation for the “twindemic”. However, they are not sufficiently sensitive for initial diagnoses of patients with suspected COVID-19 infection. Notably, chest radiography could underestimate COVID-19 lung involvement. Therefore, physicians should be aware of the appropriate diagnostic value of chest images for COVID-19 and interpret them in the context of clinical symptoms, signs, and other laboratory data.
Author Contributions
Conceptualization: S.-H.K. and Y.M.W.; Data curation: S.-H.K., Y.M.W., and K.-T.H.; Formal analysis: K.-T.H.; Methodology: S.-H.K., Y.M.W., and S.L.; Project administration: Y.M.W.; Visualization: K.-T.H.; Writing—original draft: S.-H.K., Y.M.W., and I.-G.B.; Writing—review and editing: S.-H.K., Y.M.W., S.L., K.-T.H., and I.-G.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was approved by the local ethical research committee (Institutional Review Board of Samsung Changwon Hospital, IRB number: SCMC 2020-04-011).
Informed Consent Statement
Informed consent was waived due to (1) the retrospective nature of this study and (2) the research involving no more than minimal risk to the subjects.
Acknowledgments
We acknowledge the work and contribution of all health providers from Masan Medical Center.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Comparison between the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) and influenza virus infection.
Table 1.
Comparison between the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) and influenza virus infection.
| COVID-19 (47) | Influenza (47) | p-Value | |
|---|---|---|---|
| Patient characteristics | |||
| Age (mean ± standard deviation) | 49.04 ± 13.87 | 49.23 ± 14.33 | 0.948 |
| Female | 28 (59.6) | 28 (59.6) | >0.999 |
| Arterial hypertension | 8 (17.0) | 6 (12.8) | 0.562 |
| Diabetes mellitus | 6 (12.8) | 5 (10.6) | 0.748 |
| Heart failure with reduced ejection fraction | 1 (2.1) | 2 (4.3) | >0.999 |
| Bronchial asthma | 0 (0.0) | 1(2.1) | >0.999 |
| Liver cirrhosis | 1 (2.1) | 1 (2.1) | >0.999 |
| Malignancy a | 1 (2.1) | 1 (2.1) | >0.999 |
| Symptoms onset (median days before CT evaluation, interquartile range) | 8 (2.75–17) | 2 (1–4.5) | >0.001 |
| NEWS score, median (interquartile range) | 1 (0–2) | 3 (2–5) | >0.001 |
| Symptoms | |||
| Dyspnea b | 5 (10.6) | 11 (23.4) | 0.100 |
| Fever/chill | 31 (66.0) | 38 (80.9) | 0.102 |
| Cough | 17 (36.2) | 22 (46.8) | 0.403 |
| Headache | 5 (10.6) | 5 (10.6) | >0.999 |
| Nasal congestion/rhinorreha | 4 (8.5) | 6 (12.8) | 0.740 |
| Sore throat | 9 (19.1) | 6 (12.8) | 0.398 |
| Chest pain | 2 (4.3) | 4 (8.5) | 0.677 |
| Gastrointestinal symptoms | 0 (0.0) | 5 (10.6) | 0.056 |
| Anosmia | 7 (14.9) | 0 (0.0) | 0.012 |
| Ageusia | 10 (21.3) | 0 (0.0) | 0.001 |
NOTE: Data represent the number (%) of patients unless otherwise specified. a 1 patient with colon cancer (COVID-19 group) and 1 patient with multiple myeloma (influenza group). b Dyspnea was reported by the patient or characterized as ≥class II of the New York Heart Association Functional Classification; CT: computed tomography; NEWS: National Early Warning Score.
Table 2.
Comparison between clinical characteristics and chest imaging findings of patients having pulmonary lesions with coronavirus disease (COVID-19)-associated pneumonia and influenza-associated pneumonia.
Table 2.
Comparison between clinical characteristics and chest imaging findings of patients having pulmonary lesions with coronavirus disease (COVID-19)-associated pneumonia and influenza-associated pneumonia.
| COVID-19 (31) | Influenza (23) | p-Value | |
|---|---|---|---|
| Patient characteristics | |||
| Age (mean ± standard deviation) | 49.97 ± 14.41 | 54.00 ± 11.72 | 0.217 |
| Female | 20 (64.5) | 15 (65.2) | 0.957 |
| Arterial hypertension | 4 (12.9) | 5 (21.7) | 0.472 |
| Diabetes mellitus | 5 (16.1) | 2 (8.7) | 0.685 |
| Heart failure with reduced ejection fraction | 1 (3.2) | 1 (4.3) | >0.999 |
| Bronchial asthma | 0 (0.0) | 0 (0.0) | N/A |
| Liver cirrhosis | 1 (3.2) | 1 (4.3) | >0.999 |
| Malignancy a | 1 (3.2) | 1 (4.3) | >0.999 |
| Symptoms onset (median days before CT evaluation, interquartile range) | 10 (3–17) | 2 (1.5–5.5) | >0.001 |
| NEWS score, median (interquartile range) | 1 (0–2) | 4 (2–6) | >0.001 |
| CT results: involved pulmonary lobe | |||
| Right upper lobe | 18 (58.1) | 13 (56.5) | 0.910 |
| Right middle lobe | 15 (48.4) | 12 (52.2) | 0.783 |
| Right lower lobe | 26 (83.9) | 18 (78.3) | 0.728 |
| Left upper lobe | 20 (64.5) | 9 (39.1) | 0.064 |
| Left lower lobe | 26 (83.9) | 21 (91.3) | 0.685 |
| The number of involved lobes in chest CT, mean ± standard deviation and median (interquartile range) | 3.39 ± 1.61 4 (2–5) | 3.17 ± 1.37 3 (2–4) | 0.530 |
| CT results: characteristics of pulmonary lesions | |||
| Pure ground-glass opacity | 18 (58.1) | 9 (39.1) | 0.169 |
| Pure consolidation | 0 (0.0) | 8 (34.9) | >0.001 |
| Mixed ground-glass opacity and consolidation | 13 (41.9) | 6 (26.1) | 0.228 |
| Round opacity | 13 (41.9) | 2 (8.7) | 0.007 |
| Pleural effusion not associated with heart failure | 0 (0.0) | 4 (17.4) | 0.028 |
| Lymphadenopathy | 5 (16.1) | 9 (39.1) | 0.056 |
| CT results: axial location of pulmonary lesions | |||
| Peripherally located only | 19 (61.3) | 10 (43.5) | 0.194 |
| Centrally located only | 3 (9.7) | 4 (17.4) | 0.443 |
| Peripherally and centrally located | 9 (29.0) | 9 (38.1) | 0.436 |
| Chest radiography results: involved pulmonary lobe | |||
| Right upper lung field | 2 (6.5) | 5 (21.7) | 0.122 |
| Right middle lung field | 2 (6.5) | 6 (26.1) | 0.060 |
| Right lower lung field | 12 (38.7) | 13 (56.5) | 0.194 |
| Left upper lung field | 1 (3.2) | 3 (13.0) | 0.301 |
| Left middle and lower lung field | 16 (51.6) | 12 (52.2) | 0.967 |
| The number of involved lung fields on chest x-ray, mean ± standard deviation, and median (interquartile range) | 1.06 ± 1.15 1 (0–2) | 1.70 ± 1.66 2 (0–3) | 0.182 |
| Pneumonia detected only by CT, not by chest radiography no. (%) | 12 (38.7) | 9 (39.1) | 0.975 |
| Difference in the number of involved pulmonary lobes in chest CT and pulmonary fields in radiography, mean ± standard deviation and median (interquartile range) | 2.32 ± 1.14 2 (1–3) | 1.48 ± 0.99 1 (1–2) | 0.010 |
NOTE: Data represent the number (%) of patients unless otherwise specified. a 1 patient with colon cancer (COVID-19 group) and 1 patient with multiple myeloma (influenza group); CT: computed tomography; NEWS: National Early Warning Score.
Table 3.
Comparison between clinical characteristics and chest imaging findings of patients having pulmonary lesions with coronavirus disease (COVID-19)-associated pneumonia and influenza-associated pneumonia.
Table 3.
Comparison between clinical characteristics and chest imaging findings of patients having pulmonary lesions with coronavirus disease (COVID-19)-associated pneumonia and influenza-associated pneumonia.
| COVID-19 (27) | Influenza (22) | p-Value | |
|---|---|---|---|
| Leukocyote | <0.001 | ||
| Leukocytosis (>11,000/mm3) | 0 (0.0) | 9 (40.9) | |
| Normal range | 22 (81.5) | 12 (54.5) | |
| Leukopenia (<4000/mm3) | 5 (18.5) | 1 (4.5) | |
| Thrombocytopenia (<140,000/mm3) | 3 (11.1) | 3 (13.6) | >0.999 |
| Elevated C-reactive protein (>0.5 mg/dL) | 12 (44.4) | 20 (90.9) | 0.001 |
| Hypoalbuminemia (<3.0 g/dL) | 0 (0.0) | 1 (4.5) | 0.449 |
| Elevated transaminase * | 7 (25.9) | 8 (36.4) | 0.367 |
* Cut-off value: >40 U/L for male, >32 U/L for female.
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Kim, S.-H.; Wi, Y.M.; Lim, S.; Han, K.-T.; Bae, I.-G. Differences in Clinical Characteristics and Chest Images between Coronavirus Disease 2019 and Influenza-Associated Pneumonia. Diagnostics 2021, 11, 261. https://doi.org/10.3390/diagnostics11020261
AMA Style
Kim S-H, Wi YM, Lim S, Han K-T, Bae I-G. Differences in Clinical Characteristics and Chest Images between Coronavirus Disease 2019 and Influenza-Associated Pneumonia. Diagnostics. 2021; 11(2):261. https://doi.org/10.3390/diagnostics11020261
Chicago/Turabian StyleKim, Si-Ho, Yu Mi Wi, Sujin Lim, Kil-Tae Han, and In-Gyu Bae. 2021. "Differences in Clinical Characteristics and Chest Images between Coronavirus Disease 2019 and Influenza-Associated Pneumonia" Diagnostics 11, no. 2: 261. https://doi.org/10.3390/diagnostics11020261
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