Literature DB >> 34285557

Impact of Computed Tomography-Quantified Emphysema Score on Clinical Outcome in Patients with COVID-19.

Jae-Kwang Lim1, Byunggeon Park1, Jongmin Park1, Keum-Ju Choi2, Chi-Young Jung2, Young Hwan Kim3, Jin Young Kim4, Sungjun Moon5, Yong Hoon Lee6, Jaehee Lee6.   

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is considered a risk factor for poor outcomes in patients with coronavirus disease 2019 (COVID-19). However, data on the prognostic impact of radiological emphysema extent on patients with COVID-19 are limited. Thus, this study aimed to examine whether computed tomography (CT)-quantified emphysema score is associated with a worse clinical outcome in patients with COVID-19.
METHODS: Volumetric quantitative analyses of CT images were performed to obtain emphysema scores in COVID-19 patients admitted to four tertiary referral hospitals in Daegu, South Korea, between February 18 and March 25, 2020. Patients were divided into three groups according to emphysema score (emphysema score ≤1%, 1%< emphysema score ≤5%, and emphysema score >5%).
RESULTS: A total of 146 patients with confirmed SARS-CoV-2 infection were included. The median emphysema score was 1.0% (interquartile range, 0.5-1.8%). Eight patients (6%) had a previous COPD diagnosis. Eighty (55%), 55 (38%), and 11 (8%) patients had emphysema scores ≤1%, between 1% and 5%, and >5%, respectively. The number of patients who received oxygen therapy two weeks after admission was significantly higher in the group with emphysema scores >5% than in other groups (p=0.025). The frequency of deaths was three (27%) in the group with emphysema scores >5% and tended to be higher than that in other groups. Multivariate analysis revealed that age, COPD, and serum lactate dehydrogenase levels were associated with a greater risk of in-hospital mortality in patients with COVID-19.
CONCLUSION: The current study demonstrated that patients with CT-quantified emphysema scores >5% tended to progress to severe disease over time; however, they did not exhibit an increased risk of mortality in our COVID-19 cohort. Further studies with consideration of both emphysema extent and airflow limitation degree are warranted.
© 2021 Lim et al.

Entities:  

Keywords:  COPD; COVID-19; computed tomography; emphysema; mortality

Year:  2021        PMID: 34285557      PMCID: PMC8285278          DOI: 10.2147/IJGM.S317295

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

The coronavirus disease 2019 (COVID-19) pandemic has culminated in a global health emergency. The clinical spectrum of COVID-19 ranges from asymptomatic infection to critical and fatal illness. Cough, fever, and dyspnea are the most common symptoms, whereas diarrhea, sore throat, and smell or taste abnormalities are less commonly described.1 Older patients with comorbidities are at a high risk of poor COVID-19 outcomes.2–5 Chronic obstructive pulmonary disease (COPD), a common chronic respiratory disease, is reasonably expected to have a significant impact on the risk of severe COVID-19. Although there are conflicting data on COVID-19 in patients with COPD, recent studies have reported a significant association between COPD and an increased risk of severe COVID-19.5–8 However, COPD has been under-represented among comorbidities reported in patients with COVID-19 compared with the estimated COPD prevalence in the general population.9–11 Thus, the additional risk of more severe manifestations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with COPD requires further clarification. Emphysema is easily and accurately detected using chest computed tomography (CT). The extent of emphysema has been associated with an increased risk of the subsequent development of pneumonia in patients with COPD.12 However, emphysema is often present on CT scan in those without airflow obstruction.13 Further, the severity of emphysema documented on CT scans is a strong independent predictor of respiratory mortality in ever-smokers irrespective of COPD diagnosis.14 To date, little attention has been directed to the clinical implications of CT-diagnosed emphysema extent on pneumonia outcomes regardless of COPD diagnosis.15 Likewise, data regarding the prognostic impact of radiological emphysema extent on patients with COVID-19 are limited. Therefore, this study aimed to examine whether CT-quantified emphysema score is associated with an increased risk of poor outcomes in patients with COVID-19.

Patients and Methods

Study Design and Patients

This was a multicenter, retrospective study on patients with confirmed SARS-CoV-2 infection at four tertiary referral hospitals (Daegu Catholic Medical Center, Keimyung University Dongsan Medical Center, Kyungpook National University Hospital, and Yeungnam University Hospital) in Daegu, South Korea. Patients with COVID-19 who were admitted to the study hospitals between February 18 and March 25, 2020, and underwent chest CT within five days of admission were included in this study. COVID-19 diagnosis was confirmed using the real-time reverse-transcriptase polymerase chain reaction test for SARS-CoV-2 based on nasopharyngeal swabs. The study protocols were reviewed and approved by the Daegu Joint Institutional Review Board and performed in accordance with the principles of the Declaration of Helsinki. The requirement for written informed consent from each patient was waived because of the observational, retrospective nature of this study. Patient information was anonymized and unidentifiable.

Data Collection

Demographic, clinical, and laboratory data were obtained from the patients’ electronic medical records. Comorbidity data included that on hypertension, diabetes mellitus (DM), COPD, coronary artery disease, chronic liver disease, and chronic kidney disease. Clinical outcomes were assessed in terms of oxygen-therapy requirement, intensive care unit (ICU) admission, and in-hospital death.

Quantitative CT Emphysema Analysis

Emphysema scores were calculated using commercially available segmentation software (syngo.via; Siemens Healthineers, Erlangen, Germany). A chest radiologist (B.P.) with 5 years’ experience in chest CT interpretation who was blinded to the patients’ other data evaluated the acquired images by loading them manually into the software program for emphysema quantification. Whole-lung parenchyma were automatically segmented after removing the chest wall, mediastinum, diaphragm, and airway in the CT image. Emphysema percentage was calculated by determining the percentage of lung voxels between −1000 and −950 Hounsfield units for whole-lung voxels.12 All segmented images were reviewed by two independent chest radiologists (B.P. and J.K.L. with 13 years of experience in chest CT interpretation) to consensually certify the accuracy of segmentation.

Statistical Analysis

Data were expressed as medians (interquartile ranges, IQRs) for continuous variables and numbers and percentages for categorical variables. In bivariate analysis, the Mann–Whitney U-test or t-test was used for continuous variables and the χ2 or Fisher’s exact test for categorical variables. To identify factors associated with in-hospital mortality in patients with COVID-19, variables with p values <0.1 in the univariate analysis were included in the multivariate logistic regression analysis. All statistical procedures were performed using SPSS software (version 24.0; SPSS Inc., Chicago, IL, USA).

Results

During the study period, 236 patients with confirmed SARS-CoV-2 infection underwent chest CT scans. Among them, 146 patients with available chest CT scans obtained within five days of admission were analyzed. The median emphysema score was 1.0% (IQR, 0.5–1.8%). Representative images of emphysema quantification are shown in Figure 1. Patients were divided into three groups according to emphysema score (emphysema score ≤1%, 1%< emphysema score ≤5%, and emphysema score >5%) based on a previous study.16 Among the 146 patients, 80 (55%), 55 (38%), and 11 (8%) had emphysema scores ≤1%, between 1% and 5%, and >5%, respectively. The median emphysema scores were 0.5% (IQR, 0.2–0.9%), 1.8% (IQR, 1.2–2.0%), and 8.0% (IQR, 5.0–13.0%) in groups with emphysema scores ≤1%, >1% and ≤5%, and >5%, respectively (Table 1).
Figure 1

Representative images of emphysema quantification: Emphysema area (green color) was automatically calculated under thresholds of –950 HU on computed tomography axial images. Application of quantification software revealed that the percentage of emphysema was 1.0% of the entire lung tissue in a 53-year-old woman (A), 6.0% in an 82-year-old man (B), and 13.0% in a 73-year-old man (C).

Table 1

Comparison of Clinical and Laboratory Findings and Clinical Outcomes in Patients with COVID-19 According to Quantitative Emphysema Scores by Computed Tomography

VariableEmphysema ScoreP value
Total (n=146)≤1% (n = 80)>1% & ≤5% (n = 55)>5% (n = 11)
Age, y64 (54–77)60 (50–72)66 (59–78)79 (70–81)<0.001
Male sex70 (48)31 (39)28 (51)11 (100)0.001
BMI, kg/m223.6 (21.5–25.4)24.1 (21.4–26.2)23.3 (21.3–25.8)22.3 (20.7–24.6)0.352
Current smoker19 (13)7 (9)9 (16)3 (27)0.107
Comorbidities79 (54)39 (49)32 (58)8 (73)0.243
 Hypertension54 (37)28 (35)20 (36)6 (55)0.499
 Diabetes mellitus32 (22)16 (20)13 (24)3 (27)0.780
 COPD8 (6)1 (4)6 (11)1 (9)0.033
 Ischemic heart disease13 (9)5 (6)7 (13)1 (9)0.335
 Chronic kidney disease2 (1)2 (3)0 (0)0 (0)0.584
 Chronic liver disease6 (4)3 (4)3 (6)0 (0)0.806
Initial symptoms
 Fever136 (93)74 (93)52 (95)10 (91)0.782
 Dyspnea57 (39)33 (42)19 (35)5 (46)0.650
Laboratory findings
 WBC counts, cells/μL5,600 (4,368–7,700)5,385 (4,015–7,360)6,100 (4,480–7,700)7,740 (3,730–10,040)0.525
 Lymphocyte, %25(13–35)27 (12–35)27 (14–35)16 (10–20)0.123
 Albumin, g/dL3.8 (3.3–4.1)3.9 (3.4–4.1)3.8 (3.4–4.2)3.3 (3.1–3.5)0.023
 Lactate dehydrogenase, U/L475 (361–660)519 (384–667)422 (317–557)640 (499–784)0.006
 C-reactive protein, mg/dL2.4 (0.3–13.1)2.1 (0.3–12.8)1.2 (0.2–16.6)7.5 (2.9–14.2)0.377
 NT-pro-BNP, pg/mL110 (52–437)90 (43–225)131 (59–570)567 (103–5,155)0.028
Emphysema score, %1.0 (0.5–1.8)0.5 (0.2–0.9)1.8 (1.2–2.0)8.0 (5.0–13.0)<0.001
O2 therapy59 (40)32 (40)19 (35)8 (73)0.064
ICU admission18 (12)9 (11)5 (9)4 (36)0.057
Death14 (10)7 (9)4 (7)3 (27)0.155

Notes: Numerical data are expressed as median (interquartile range), and categorical data as frequency (percentage).

Abbreviations: COVID-19, coronavirus disease 2019; BMI, body mass index; COPD, chronic obstructive pulmonary disease; WBC, white blood cells; NT-pro-BNP, NT-pro-brain natriuretic peptide; CT, computed tomography; ICU, intensive care unit.

Comparison of Clinical and Laboratory Findings and Clinical Outcomes in Patients with COVID-19 According to Quantitative Emphysema Scores by Computed Tomography Notes: Numerical data are expressed as median (interquartile range), and categorical data as frequency (percentage). Abbreviations: COVID-19, coronavirus disease 2019; BMI, body mass index; COPD, chronic obstructive pulmonary disease; WBC, white blood cells; NT-pro-BNP, NT-pro-brain natriuretic peptide; CT, computed tomography; ICU, intensive care unit. Representative images of emphysema quantification: Emphysema area (green color) was automatically calculated under thresholds of –950 HU on computed tomography axial images. Application of quantification software revealed that the percentage of emphysema was 1.0% of the entire lung tissue in a 53-year-old woman (A), 6.0% in an 82-year-old man (B), and 13.0% in a 73-year-old man (C).

Comparison of Clinical and Laboratory Findings in Patients with COVID-19 According to CT-Quantified Emphysema Scores

Clinical and laboratory findings were compared between the emphysema-score groups (Table 1). The median age and proportion of male subjects of the overall study population were 64 years (IQR, 54–77) and 48%, respectively, and increased with increasing emphysema-score category (p<0.001 and p=0.001, respectively). There were no significant differences in body mass index; frequency of comorbidities, except COPD; and initial symptoms between the groups. In total, eight patients (6%) had a previous diagnosis of COPD. COPD frequency was higher in the group with emphysema scores >1% and ≤5% and that with scores >5% than in the group with emphysema scores ≤1% (p=0.033). White blood cell counts, C-reactive protein (CRP) levels, and lymphocyte proportions were comparable between the three groups (Table 1). Meanwhile, the group with emphysema scores >5% exhibited relatively lower albumin levels (p=0.023) and higher lactate dehydrogenase (LDH) and N-terminal fragment B-type natriuretic peptide (NT-proBNP) levels (p=0.006 and p=0.028, respectively).

Comparison of Clinical Outcomes in Patients with COVID-19 According to CT-Quantified Emphysema Scores

In total, there were 59 (40%) patients with severe COVID-19 requiring oxygen therapy during hospitalization. There was no significant difference in the proportion of patients requiring oxygen therapy on admission between the three groups (Figure 2). However, the number of patients who received oxygen therapy two weeks after admission was significantly higher in the group with emphysema scores >5% than in the group with emphysema scores >1% and ≤5% and that with scores ≤1% (55% vs 26% vs 18%, p=0.025).
Figure 2

The proportion of patients who received oxygen therapy during hospitalization in the groups with different emphysema scores *p < 0.05.

The proportion of patients who received oxygen therapy during hospitalization in the groups with different emphysema scores *p < 0.05. There were 18 (12%) patients with severe COVID-19 requiring ICU admission and 14 (10%) deaths, respectively, in the whole study population. Four (36%) cases required ICU admission in the group with emphysema scores >5%, a figure that was relatively higher than that in other groups (p=0.057). Similarly, three deaths (27%) occurred in the group with emphysema scores >5%, a figure that was relatively higher than that in other groups but without statistical significance. Among the eight patients with previous diagnoses of COPD, those who required oxygen therapy and ICU admission were 7 (88%) and 4 (50%), respectively. Significant differences were observed in the numbers requiring oxygen therapy and ICU admission between patients with COPD and those without (oxygen therapy: 7 [88%] vs 52 [38%], p=0.008; ICU admission: 4 [50%] vs 14 [10%], p=0.008). In addition, in-hospital death occurred in four patients (50%) with COPD and 10 (7%) without COPD, indicating a significant difference (p=0.003).

Analysis of Factors Associated with in-Hospital Mortality in Patients with COVID-19

From univariate analysis, variables associated with increased mortality in patients with COVID-19 included age; male sex; DM; COPD; the proportion of lymphocytes; and levels of serum albumin, LDH, CRP, and NT-proBNP (Table 2). CT emphysema scores >5% tended to be associated with an increased risk of mortality in patients with COVID-19 (p=0.053). However, multivariate analysis revealed that age (odds ratio [OR] = 1.069 [CI, 1.001–1.141]), COPD (OR = 8.068 [CI, 1.195–54.486]), and serum LDH levels (OR = 1.002 [CI, 1.001–1.004]) were independently associated with a greater risk of in-hospital mortality in patients with COVID-19.
Table 2

Univariate and Multivariate Analyses for Factors Associated with in-Hospital Mortality of Patients with COVID-19

VariableUnivariate AnalysisMultivariate Analysis
OR (95% CI)P valueOR (95% CI)P value
Age, y1.078 (1.024–1.136)0.0051.069 (1.001–1.141)0.046
Male sex4.537 (1.210–17.015)0.025
BMI, kg/m21.091 (0.927–1.284)0.294
Current smoker3.500 (0.635–19.281)0.150
Hypertension1.312 (0.430–4.008)0.633
Diabetes mellitus4.280 (1.376–13.309)0.012
Chronic obstructive lung disease12.800 (2.777–58.997)0.0018.068 (1.195–54.486)0.032
Ischemic heart disease3.327 (0.796–13.906)0.099
Chronic kidney disease10.077 (0.595–170.723)0.110
Chronic liver disease1.9618 (0.707–3.703)0.254
WBC counts, cells/μL (Log)1.210 (0.228–6.433)0.823
Lymphocyte, %1.004 (1.001–1.007)0.017
Albumin, g/dL0.126 (0.038–0.413)0.001
Lactate dehydrogenase, U/L1.002 (1.000–1.004)0.0151.002 (1.001–1.004)0.006
C-reactive protein, mg/dL1.014 (1.001–1.027)0.032
NT-pro-BNP, pg/mL (Log)4.309 (1.741–10.661)0.002
CT Emphysema score >5%4.277 (0.979–18.260)0.053

Abbreviations: COVID-19, coronavirus disease 2019; OR, odds ratio; CI, confidence interval; BMI, body mass index; WBC, white blood cells; NT-pro-BNP, NT-pro-brain natriuretic peptide; CT, computed tomography.

Univariate and Multivariate Analyses for Factors Associated with in-Hospital Mortality of Patients with COVID-19 Abbreviations: COVID-19, coronavirus disease 2019; OR, odds ratio; CI, confidence interval; BMI, body mass index; WBC, white blood cells; NT-pro-BNP, NT-pro-brain natriuretic peptide; CT, computed tomography.

Discussion

In this study, we initially evaluated whether the CT-quantified emphysema score is associated with an increased risk of in-hospital mortality in patients with COVID-19, given the altered local and systemic immunity of emphysema.17 We found that the CT emphysema score itself was not associated with an increased risk of mortality in patients with COVID-19. However, COVID-19 patients with CT emphysema scores >5% initially presented relatively lower albumin and higher LDH levels and were more likely to require oxygen therapy and ICU admission during hospitalization than those with relatively lower emphysema scores. In addition, patients with emphysema scores >5% and those with relatively lower emphysema scores exhibited increased and decreased proportions of oxygen-therapy requirement over time during hospitalization, respectively. This finding is consistent with that of a recent study, which revealed more severe community-acquired pneumonia in patients with emphysema than that in those without emphysema regardless of COPD diagnosis.15 In addition, this previous study reported a higher 30-day mortality rate in the severe emphysema group than that in the control group. However, the CT-quantified emphysema score was not an independent risk factor for mortality in our COVID-19 cohort. A relatively lower degree of emphysema of our study population might have had negative effects on the evaluation of the clinical significance of emphysema. We could not identify the presence of airflow limitation using spirometry. Given that approximately 6% of the patients with COVID-19 had a previous diagnosis of COPD in this study, most of the study population would not have airflow limitations. Radiological mild emphysema without airflow limitation might have had a relatively lower impact on poor outcomes in patients with COVID-19. Thus, further research is required to evaluate the clinical significance of both emphysema extent and airflow limitation in COVID-19 using large patient samples. There is growing evidence that indicates a significant association of COPD with COVID-19 severity and mortality.5–8,18 The frequency of previous COPD diagnoses in our COVID-19 cohort was consistent with the pooled prevalence of COPD in hospitalized COVID-19 patients.19 Similarly, the present study revealed an association between COPD and the increased risk of in-hospital mortality, corroborating previous study findings. COPD patients are usually older and have more comorbidities, thus predisposing them to an increased risk of worse outcomes from COVID-19. In the future, different COPD phenotypes should be studied to identify differences in clinical manifestations of SARS-CoV-2 infection. Additionally, age and serum LDH levels, well-known risk factors for mortality in patients with COVID-19, were found to be associated with an increased risk of in-hospital COVID-19 mortality in this study.5,18 Careful monitoring for disease deterioration is required in those with these risk factors for mortality. Our study has certain limitations. First, it is highly probable that the most severe patients were excluded from this analysis because they were too ill to be transferred to the x-ray department for CT scans. Second, data regarding pulmonary function tests and COPD medications were not available due to the overburdening of the healthcare system posed by the COVID-19 outbreak; hence, the association between airflow obstruction and quantitative CT emphysema scores or between mortality and COPD drug use could not be assessed. In conclusion, the current study demonstrated that patients with CT-quantified emphysema scores >5% were more likely to progress to severe disease over time, whereas the CT-quantified emphysema score was not an independent risk factor for mortality in our COVID-19 cohort. Further, this study’s findings provide additional evidence that corroborates previous study findings in which age, COPD, and LDH level were found to be risk factors for poor COVID-19 outcomes. Further assessments with consideration of both emphysema extent and airflow limitation degree are required using larger COVID-19-patient samples.
  19 in total

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5.  Risk factors for mortality in patients with Coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies.

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Journal:  Aging Male       Date:  2020-06-08       Impact factor: 5.892

6.  Do chronic respiratory diseases or their treatment affect the risk of SARS-CoV-2 infection?

Authors:  David M G Halpin; Rosa Faner; Oriol Sibila; Joan Ramon Badia; Alvar Agusti
Journal:  Lancet Respir Med       Date:  2020-04-03       Impact factor: 30.700

7.  Predictors of infection, symptoms development, and mortality in people with SARS-CoV-2 living in retirement nursing homes.

Authors:  Andrea De Vito; Vito Fiore; Elija Princic; Nicholas Geremia; Catello Mario Panu Napodano; Alberto Augusto Muredda; Ivana Maida; Giordano Madeddu; Sergio Babudieri
Journal:  PLoS One       Date:  2021-03-16       Impact factor: 3.240

8.  Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease.

Authors:  Wei Liu; Zhao-Wu Tao; Lei Wang; Ming-Li Yuan; Kui Liu; Ling Zhou; Shuang Wei; Yan Deng; Jing Liu; Hui-Guo Liu; Ming Yang; Yi Hu
Journal:  Chin Med J (Engl)       Date:  2020-05-05       Impact factor: 2.628

9.  The impact of COPD and smoking history on the severity of COVID-19: A systemic review and meta-analysis.

Authors:  Qianwen Zhao; Meng Meng; Rahul Kumar; Yinlian Wu; Jiaofeng Huang; Ningfang Lian; Yunlei Deng; Su Lin
Journal:  J Med Virol       Date:  2020-05-17       Impact factor: 2.327

10.  Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.

Authors:  Wei-Jie Guan; Wen-Hua Liang; Yi Zhao; Heng-Rui Liang; Zi-Sheng Chen; Yi-Min Li; Xiao-Qing Liu; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Chun-Quan Ou; Li Li; Ping-Yan Chen; Ling Sang; Wei Wang; Jian-Fu Li; Cai-Chen Li; Li-Min Ou; Bo Cheng; Shan Xiong; Zheng-Yi Ni; Jie Xiang; Yu Hu; Lei Liu; Hong Shan; Chun-Liang Lei; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Lin-Ling Cheng; Feng Ye; Shi-Yue Li; Jin-Ping Zheng; Nuo-Fu Zhang; Nan-Shan Zhong; Jian-Xing He
Journal:  Eur Respir J       Date:  2020-05-14       Impact factor: 16.671

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