Literature DB >> 33061341

Clinical Courses and Outcomes of Patients with Chronic Obstructive Pulmonary Disease During the COVID-19 Epidemic in Hubei, China.

Weihua Hu1, Minglin Dong1, Mengqing Xiong1, Dong Zhao1, Yang Zhao1, Mengmei Wang1, Tao Wang1, Zhenlian Liu2, Li Lu3, Ke Hu1.   

Abstract

Purpose: In this study, we investigated the acute exacerbation and outcomes of COPD patients during the outbreak of COVID-19 and evaluated the prevalence and mortality of COPD patients with confirmed COVID-19.
Methods: A prospectively recruited cohort of 489 COPD patients was retrospectively followed-up for their conditions during the COVID-19 pandemic from December 2019 to March 2020 in Hubei, China. In addition, the features of 821 discharged patients with confirmed COVID-19 were retrospectively analyzed.
Results: Of the 489 followed-up enrolled COPD patients, 2 cases were diagnosed as confirmed COVID-19, and 97 cases had exacerbations, 32 cases of which were hospitalized, and 14 cases died. Compared with the 6-month follow-up results collected 1 year ago, in 307 cases of this cohort, the rates of exacerbations and hospitalization of the 489 COPD patients during the last 4 months decreased, while the mortality rate increased significantly (2.86% vs 0.65%, p=0.023). Of the 821 patients with COVID-19, 37 cases (4.5%) had pre-existing COPD. Of 180 confirmed deaths, 19 cases (10.6%) were combined with COPD. Compared to COVID-19 deaths without COPD, COVID-19 deaths with COPD had higher rates of coronary artery disease and/or cerebrovascular diseases. Old age, low BMI and low parameters of lung function were risk factors of all-cause mortality for COVID-19 patients with pre-existing COPD.
Conclusion: Our findings imply that acute exacerbations and hospitalizations of COPD patients were infrequent during the COVID-19 pandemic. However, COVID-19 patients with pre-existing COPD had a higher risk of all-cause mortality.
© 2020 Hu et al.

Entities:  

Keywords:  COPD; COVID-19; SARS-CoV-2; chronic obstructive pulmonary disease; exacerbation; mortality; novel coronavirus; novel coronavirus pneumonia

Mesh:

Year:  2020        PMID: 33061341      PMCID: PMC7520151          DOI: 10.2147/COPD.S265004

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Key Messages

What is the key question? ◆ It is unknown whether patients with COPD have an increased risk of SARS-CoV-2 infection, more acute exacerbations and/or a poorer prognosis. What is the bottom line? ◆This study shows that acute exacerbations and hospitalizations of COPD patients were infrequent during the COVID-19 pandemic, however, the fatality rate of COPD patients during the epidemic period was significantly higher than that during the non-epidemic period. Why read on? COPD seemed to be not common in the comorbidities for patients with COVID-19, but COVID-19 patients with pre-existing COPD had a higher risk of all-cause mortality.

Introduction

COVID-19 has disseminated across the world and has caused numerous infections and very high numbers of deaths. The world’s population is generally susceptible to SARS-CoV-2, especially elderly subjects with chronic diseases such as hypertension, diabetes and cardio-cerebrovascular diseases.1,2 In addition, elderly patients infected with SARS-CoV-2 were more likely to be in critical condition and had a higher mortality rate.2,3 A study of 1099 confirmed COVID-19 cases indicated that the median age of the patients was 47.0 years, 15.1% of whom were aged ≥65 years, and 27.0% of the patients in critical condition were aged ≥65 years.4 Another investigation of 4021 confirmed COVID-19 cases showed that the mortality rate of patients aged ≥60 years (5.3%) was significantly higher than that of patients ˂ 60 years (1.4%), most of which had chronic diseases.3 Chronic obstructive pulmonary disease (COPD) is one of the most common chronic diseases among the elderly in China,5 and its prevalence increases with age and the quantity of cigarettes consumed.6 Acute exacerbation (AE) of COPD is defined as an acute worsening of respiratory symptoms that results in additional therapy.6 AEs of COPD are important events for they negatively impact the health status and are associated with increased hospitalizations and readmissions, disease progression and increased mortality of COPD patients.7,8 Several factors can precipitate AEs of patients with COPD and respiratory viral infections are very common causes.9 However, the detection rate of a viral etiology is below 40% in the elderly, and this also holds true for AEs of chronic respiratory illnesses.10 Data regarding new viruses and elderly subjects are scarce, including patients with severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) associated coronaviruses, NL63, HKU1 and potential respiratory pathogens.10 The roles of coronaviruses in AEs of patients with COPD have already been explored to some extent, but the results are not consistent.11–13 One investigation demonstrated that SARS-associated coronavirus assessed using RT-PCR was not present in lower respiratory tract specimens of 141 COPD patients with AEs one year after the first outbreak.11 However, patients with MERS and comorbidities, including those who smoke and have COPD, may have worse outcomes.12,13 Furthermore, a retrospective study suggested that it was unlikely for human bocavirus infections to have a major role in adult COPD patients with AEs.14 Up to now, no study has been published that analyzed the clinical characteristics and mortality in COPD patients with COVID-19. Therefore, it is unknown whether patients with COPD have an increased risk of SARS-CoV-2 infection, more exacerbations and/or a poorer prognosis. The purpose of this study was to identify the prevalence of COVID-19, AEs and outcomes in patients with COPD during the COVID-19 epidemic in Hubei province, China. Those goals were achieved by following-up the recruited COPD patients in an existing database, and by analyzing the comorbidities of admitted confirmed cases in a designated hospital for COVID-19.

Methods

Data Sources and COVID-19 Subjects

Since January 2016, we have been participating in a project entitled “Study on the diagnosis and treatment of complications and comorbidities in patients with chronic obstructive pulmonary disease”, which is supported by the National Key Research and Development Program of China (project number: 2016YFC1304403) and is registered in ClinicalTrials.gov (Clinical Trials ID: NCT 03182309). Up to December 2019, 558 COPD patients diagnosed by lung function had been recruited for that study. We obtained written informed consent from all participants or from their family members and established an electronic database to collect their personal information, previous history, medication history, pulmonary function parameters, laboratory testing and sleep-breathing monitoring results. The patients enrolled in the database have been routinely followed-up once every six months. To understand the AEs and outcomes of this cohort during the epidemic of COVID-19, we carried out an additional follow-up by telephone and short message service at the end of March 2020. Meanwhile, we collected data of 821 discharged laboratory confirmed cases, including demographics, laboratory results, comorbidities and outcomes, from the information system of a designated hospital for severe or critical patients with COVID-19. The details of confirmed COVID-19 deaths of patients with COPD and the COPD deaths in followed-up patients were analyzed. The prevalence of all-cause mortality and risk factors of deaths in COVID-19 patients with COPD were also investigated.

Ethics Approval and Consent to Participate

This study procedure was reviewed and approved by the Ethics Committee of Renmin Hospital of Wuhan University (Nos. 2017K-C014 and WDRY2020-K019). Under exceptional circumstances for reducing exposure to SARS-CoV-2, informed verbal consent was obtained from the COVID-19 patients or written informed consent were obtained from family members verbally authorized by the COVID-19 patients, and a waiver of written informed consent from the hospitalized confirmed cases was applied and obtained agreement of the Ethics Committee. This study was conducted in accordance with the Declaration of Helsinki.

Follow-Up Protocol

A questionnaire was designed specifically for follow-up by telephone and text messaging on a cell phone (short message service, SMS). A short message containing the questionnaire was sent to each patient’s cell phone one day before the follow-up by telephone. The patients’ conditions and outcomes in the last four months were collected during the follow-up, which began on December 01, 2019 and ended on March 31, 2020, covering the whole COVID-19 pandemic in Hubei province, China. Figure 1 shows a flowchart of the follow-up process. By the end of March 2020, 558 enrolled patients with COPD in the database were followed-up through SMS and telephone, which were carried out by three professional investigators. Twenty-eight subjects were excluded because of losing contact, and 41 cases were excluded who could not answer the questions accurately or completely. In total, 489 patients were included in this study. In order to explore whether their conditions and/or outcomes had changed during the COVID-19 outbreak, we compared their responses with the 6-month follow-up results from October 2018 to March 2019 in 307 cases of this cohort.
Figure 1

Flow chart of the follow-up design and process.

Flow chart of the follow-up design and process.

Questionnaire

We designed a questionnaire with 12 questions () related to where the patients had lived during the last four months, whether they were diagnosed with COVID-19, their infection severity, AEs of COPD or hospitalization, morbidity and outcome.

Confirmed Criteria for COVID-19 and Disease Severity

Laboratory confirmed cases met the criteria in the Guidelines on the Diagnosis and Treatment of Novel Coronavirus Infected Pneumonia,15 ie, the cases had a history of epidemiological exposure, typical symptoms and X-ray imaging, positive for SARS-COV-2 nucleic acid by real-time RT-PCR, or had SARS-COV-2 specific IgM and IgG in their serum. The disease severity was classified as mild, moderate, severe or critical.15 Severe cases had at least one of the following: respiratory distress (≥30 breaths/min); oxygen saturation ≤93% at rest; arterial partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) ≤300 mm Hg; obvious lesion progression on chest imaging and >50% within 24–48 hours. Critical cases refer to any of the following: respiratory failure and needing mechanical ventilation; shock; other organ failure requiring ICU care.

Detection of SARS-CoV-2 Nucleic Acid

Nasonasopharyngeal swab specimens were collected from all patients, preserved in viral-transport medium and submitted for analysis by trained technicians. SARS-CoV-2 nucleic acid was detected by reverse-transcriptase RT-RCR, which was completed in the biosafety level 2 clinical laboratory of Renmin Hospital of Wuhan University. RT-PCR detection reagents for SARS-CoV-2 nucleic acid open reading frame 1ab and nucleocapsid protein were provided by GeneoDx Biotech Co., LTD, Shanghai, China.

Detection of Antibodies

Serum specific IgG and IgM antibodies against SARS-CoV-2 were characterized using a full-automatic chemiluminescence immunoassay analyzer (UniCel DxI800, Beckman Coulter, Inc., USA) according to the manufacturer’s instructions. The measured relative light unit (RLU) was used as the indicator of immune activity. That analyzer automatically converts the RLU from each immunoassay into an absolute unit (AU) by fitting it to a standard master calibration curve. The kits were provided by Shenzhen YHLO Biotech Co., Ltd., China. A cutoff value of >10.0 AU/mL is considered as positive for antibodies.

Study Endpoints

In this study, one endpoint was to investigate the AEs, hospitalizations and outcomes of enrolled COPD patients during the COVID-19 pandemic by follow-up; the other endpoint was to analyze the prevalence rate of COPD in hospitalized confirmed COVID-19 cases and their deaths.

Statistical Analysis

SPSS 21.0 software was used for statistical analysis. Data are expressed as medians (interquartile range [IQR]) or absolute numbers and percentages [n/N (%)], where N represents the total number of patients with available data. P values were calculated from the Mann–Whitney U-test, the χ2 test or Fisher’s exact test. A P value is considered significant if it is less than 0.05. Logistic regression analysis was used to assess the risk of all-cause mortality in follow-up COPD patients (Table 1) and in confirmed COVID-19 cases with COPD (Table 2).
Table 1

Risk Factors Associated with Death of the Followed-Up Patients with COPD During the Epidemic (n = 489)

ParametersUnivariable OR (95% CI)P valueMultivariable OR (95% CI)P value
Male sex (vs female)0.48 (0.10–2.22)0.345
Age1.10 (1.02–1.17)0.0111.11 (1.01–1.22)0.045
No education (vs primary and above)1.75 (0.22–14.05)0.600
BMI0.83 (0.70–0.97)0.0170.83 (0.68–1.03)0.085
Neck circumference0.87 (0.73–1.84)0.127
COVID-19 (vs non-COVID-19)0.03 (0.002–0.46)0.0130 (0–0)1
Smoking (vs non-smoking)2.17 (0.28–16.87)0.458--
Hypertension1.27 (0.43–3.73)0.659--
Diabetes0.77 (0.10–6.05)0.806--
CAD0.83 (0.23–3.04)0.784--
CVD2.66 (0.57–12.47)0.214--
FEV1%0.96 (0.91–0.99)0.0340.96 (0.91–1.00)0.064
AHI0.99 (0.96–1.04)0.966--

Abbreviations: BMI, body mass index; CAD, coronary artery disease; CVD, cerebrovascular diseases; FEV1, forced expiratory volume in one second; AHI, apnea-hypopnea index.

Table 2

Risk Factors Associated with Death of Confirmed COVID-19 Patients (n=821)

ParametersUnivariable OR (95% CI)P valueMultivariable OR (95% CI)P value
Sex, n (M vs F)1.67 (1.20–2.32)0.0031.31 (0.73–2.37)0.365
Age (years)1.08 (1.06–1.09)<0.00011.09 (1.06–1.12)<0.0001
Hypertension3.38 (2.27–5.02)<0.00011.15 (0.57–2.31)0.694
Diabetes2.26 (1.38–3.70)0.0010.82 (0.34–1.97)0.648
CAD4.09 (2.32–7.18)<0.00012.71 (0.98–7.53)0.055
CVD7.11 (3.35–15.08)<0.00011.66 (0.50–5.49)0.405
COPD3.92 (1.98–7.74)<0.00012.27 (0.64–7.97)0.202
Malignancy3.30 (1.45–7.47)0.00411.73 (2.44–56.36)0.002
Chronic kidney disease8.49 (2.98–24.17)<0.000121.75 (2.67–177.29)0.004
Chronic liver disease0.74 (0.24–2.28)0.598

Abbreviations: CAD, coronary artery disease; CVD, cerebrovascular diseases; COPD, chronic obstructive pulmonary disease.

Risk Factors Associated with Death of the Followed-Up Patients with COPD During the Epidemic (n = 489) Abbreviations: BMI, body mass index; CAD, coronary artery disease; CVD, cerebrovascular diseases; FEV1, forced expiratory volume in one second; AHI, apnea-hypopnea index. Risk Factors Associated with Death of Confirmed COVID-19 Patients (n=821) Abbreviations: CAD, coronary artery disease; CVD, cerebrovascular diseases; COPD, chronic obstructive pulmonary disease.

Results

Prevalence of COVID-19 in Followed-Up COPD Patients

Of the 489 successfully followed-up enrolled COPD patients, two patients (0.41%) were diagnosed as having confirmed COVID-19. Neither of those 2 patients had a history of exposure to the Huanan seafood market in Wuhan, but there were infections in their families. One of those patients was an 86-year-old male with a BMI of 15.5 kg/m2, who lived in Wuhan and had a history of COPD for 20 years with grade 4 of GOLD airflow limitation classification. He died of respiratory failure and multiple organ failure 19 days after infection with COVID-19 in a designated hospital. The other confirmed case was a 68-year-old male resident of Wuhan with grade 2 of lung function classification; he recovered after 26 days of hospitalization.

Acute Exacerbations and Hospitalizations in Followed-Up COPD Patients

Of the 489 patients with COPD, 324 were residents of Wuhan and 165 were nonresidents of Wuhan in the Hubei province (). In the 4 months of follow-up during the outbreak, 392 cases (80.16%) were in stable condition and 97 cases (19.84%) had AEs of COPD, 32 cases (6.54%) of which were hospitalized and 14 cases (2.86%) died. Compared with 6-month follow-up results collected 1-year ago, in 307 cases of this cohort, both the rates of AE and hospitalization during the last 4 months in 489 patients decreased, however, the fatality rate significantly increased (2.86% vs 0.65%, p=0.023) (Table 3).
Table 3

Comparison of COPD Patients Conditions During Periods of Epidemic and Non-Epidemic

Parameters6 Months BetweenOct.2018 and Mar. 20194 Months BetweenDec.2019 and Mar. 2020P value
Patients, n307489
AECOPD patients, n (%)160 (52.12)97 (19.84)<0.0001
 AE =1, n (%)91 (29.64)80 (16.40)<0.0001
 AE ≥2, n (%)69 (22.48)17 (3.48)<0.0001
AE per person per month, events [median (IQR)]0.17 (0, 0.17)0 (0, 0)<0.0001
Hospitalizations, n (%)90 (29.32)32 (6.54)<0.0001
Hospitalization per person per month, events [median (IQR)]0 (0, 0.17)0 (0, 0)<0.0001
Death, n (%)2 (0.65)14 (2.86)0.023

Abbreviations: AE, acute exacerbation; COPD, chronic obstructive pulmonary disease.

Comparison of COPD Patients Conditions During Periods of Epidemic and Non-Epidemic Abbreviations: AE, acute exacerbation; COPD, chronic obstructive pulmonary disease.

Deaths of COPD Patients During Follow-Up

Of the 489 patients with COPD, 14 cases died during the 4 months from Dec. 2019 to Mar. 2020, of which 7 cases died in Dec. 2019, 3 patients died in Jan. 2020 and 4 patients died in Feb. 2020. There were no deaths of those patients in March. Nine cases died of respiratory failure caused by AEs of COPD, however, their deaths cannot be definitely associated with COVID-19 due to the lack of data. One case died 3 days after failure of lung transplantation, 2 cases died from hematological malignancies and 1 died from cerebrovascular disease. Only 1 case died of confirmed COVID-19 (see above). The followed-up COPD patients were divided into a survivor group and a deceased group (Table 4). Of baseline data at enrollment, the deceased group was significantly older than the survivor group (74.07±7.75 vs 68.15±8.71, p=0.012), had a significantly lower BMI (20.40±4.99 vs 22.91±3.85, p=0.017) and lower spirometry function parameters (FVC, FVC% and FEV1). There was no significant statistical difference between the two groups in other baseline data regarding gender composition, smoking status, prevalence of comorbidity or sleep-breathing parameters (neck circumference, AHI, T90, Min SpO2, Mean SpO2).
Table 4

Baseline Data of the Followed-Up Patients with COPD (n = 489)

ParametersSurvival GroupDeath GroupP-value
Number of patients, n (%)47514 (2.86)-
Sex0.335
 Male, n (%)440 (92.63)12 (85.71)
 Female, n (%)35 (7.37)2 (14.29)
Age, years68.15±8.7174.07±7.750.012
Education degree1.000
No education, n (%)20 (4.21)1 (7.12)
Primary and above, n (%)455 (95.79)13 (92.86)
BMI, kg/m222.91±3.8520.40±4.990.017
Neck circumference, cm37.78±3.0836.50±4.360.130
COVID-19, n (%)1 (0.22)1 (7.14)0.056
Hypertension, n (%)176 (37.05)6 (42.86)0.658
Diabetes, n (%)43 (9.05)1 (7.14)0.806
CAD, n (%)117 (24.63)3 (21.43)0.784
CVD, n (%)28 (5.89)2 (14.29)0.197
FVC, L2.93±0.821.98±0.540.001
FVC%, %92.01±21.5763.44±18.57<0.0001
FEV1, L1.37±0.640.87±0.450.021
FEV1%, %53.31±21.6637.11±17.160.026
FEV1/FVC, %45.95±13.5643.89±16.380.654
AHI, events/hour14.49±13.8214.33±13.400.966
T90, %13.51±24.3420.12±33.430.323
Min SpO2, %77.94±12.9773.79±14.440.252
Mean SpO2, %92.38±5.6290.61±7.060.252
Tobacco use, n (%)407 (85.68)13 (92.86)0.711
Current tobacco use, n (%)90 (18.95)2 (14.29)0.490

Abbreviations: COPD, chronic obstructive pulmonary disease; BMI, body mass index; CAD, coronary artery disease; CVD, cerebrovascular diseases; FVC, forced vital capacity; FEV1, forced expiratory volume in one second; AHI, apnea-hypopnea index; T90, percentage of sleep time with SpO2 less than 90%; Min SpO2, minimum oxygen saturation during sleep; mean SpO2, mean oxygen saturation during sleep.

Baseline Data of the Followed-Up Patients with COPD (n = 489) Abbreviations: COPD, chronic obstructive pulmonary disease; BMI, body mass index; CAD, coronary artery disease; CVD, cerebrovascular diseases; FVC, forced vital capacity; FEV1, forced expiratory volume in one second; AHI, apnea-hypopnea index; T90, percentage of sleep time with SpO2 less than 90%; Min SpO2, minimum oxygen saturation during sleep; mean SpO2, mean oxygen saturation during sleep. Logistic regression analysis showed that older age, low BMI, poor lung function and COVID-19 were risk factors of all-cause mortality for COPD patients, in which, older age was an independent risk factor (Table 1).

Comorbidities and Deaths in Confirmed COVID-19 Cases

We analyzed the prevalence of comorbidity, mortality and risk factors of all-cause mortality in confirmed COVID-19 patients (Table 5). Of 821 discharged cases, 335 cases (40.8%) had comorbidities and 486 cases (59.2%) did not. The order of comorbidity rate was hypertension (27.3%), diabetes (10.6%), coronary artery disease (7.3%), cerebrovascular diseases (4.5%), COPD (4.5%), malignancies (3.3%), chronic kidney disease (2.3%) and chronic liver disease (2.3%). However, of 180 confirmed deaths with COVID-19, 92 cases (51.1%) were combined with hypertension, 33 cases (18.3%) with diabetes, 32 cases (17.8%) with coronary artery disease, 27 (15.0%) with cerebrovascular diseases, 19 (10.6%) with COPD, 14 (7.8%) with malignancies, 14 (7.8%) with chronic kidney disease and 4 (2.2%) with chronic liver disease (Table 5).
Table 5

Comorbidities and Deaths in 821 Patients with Confirmed COVID-19

ParametersTotalDeathDeath/Total (%)
Number, N82118021.9
Hypertension, n (%)224 (27.3)92 (51.1)41.1
Diabetes, n (%)87 (10.6)33 (18.3)37.9
CAD, n (%)60 (7.3)32 (17.8)53.3
CVD, n (%)37 (4.5)27 (15.0)73.0
COPD, n (%)37 (4.5)19 (10.6)51.4
Malignancy, n (%)27 (3.3)14 (7.8)51.9
Chronic kidney disease, n (%)19 (2.3)14 (7.8)73.7
Chronic liver disease, n (%)19 (2.3)4 (2.2)21.1

Abbreviations: CAD, coronary artery disease; CVD, cerebrovascular diseases; COPD, chronic obstructive pulmonary disease.

Comorbidities and Deaths in 821 Patients with Confirmed COVID-19 Abbreviations: CAD, coronary artery disease; CVD, cerebrovascular diseases; COPD, chronic obstructive pulmonary disease. The clinical features of the 180 deaths with confirmed COVID-19 are shown in Table 6. Of the 37 confirmed COVID-19 patients with pre-existing COPD, 19 cases died, a mortality rate of 51.4% (Table 5). Compared to COVID-19 deaths of patients without COPD, the COVID-19 deaths of patients with COPD had a higher rate of coronary artery disease or cerebrovascular diseases, more expectoration. There was no significant difference between the two groups in terms of gender, age, severity of disease, other first-episode symptoms and time of death after hospitalization. The first-episode syndromes and comorbidities in confirmed COVID-19 deaths with or without COPD are shown in Table 6. Compared with the deaths of patients without COPD, the patients with COPD who died had higher levels of CRP, fibrinogen and IL-4, and lower levels of albumin, LDH and D-dimer (Table 7). Furthermore, the characteristics of COVID-19 deaths of patients with COPD and the followed-up COPD deaths during the pandemic were compared (Table 8), and older age, more comorbidities and lower lung function parameters were their common features. Risk factors associated with the death of confirmed COVID-19 patients were male, old age and comorbidities (Table 2).
Table 6

The First-Episode Syndromes and Comorbidities in Confirmed COVID-19 Deaths with or without COPD

ParametersDeath Cases(n=180)With COPD(n =19)Without COPD(n=161)P value
Sex, M:F101:7911:890:710.868
Age, years (IQR)71 (62–80)74 (67–81)70 (60–80)0.139
Comorbidities
 Diabetes, n334290.756
 Hypertension, n9210820.889
 CAD, n327250.022
 CVD, n277200.005
 Chronic liver disease,n4041.000
 Malignancy, n142120.646
 Chronic kidney disease,n141131.000
First symptoms
 Fever (T ≥37.0°C), n157161410.715
 Tmax,°C(IQR)38.5 (38–39)38.5 (38.1–38.6)38.6 (38–39)0.246
 Dry cough, n122141080.560
 Expectoration, n6913560.004
 Chest tightness, n10712950.727
 Dyspnea, n120121080.732
 Myalgia, n131121.000
 Nausea, n5140.431
 Vomiting, n7160.548
 Diarrhea, n9270.243
Severity on admission0.654
 Mild, n000
 Moderate, n514
 Severe, n11010100
 Critical, n65857
Death time after hospitalization, d (IQR)8 (4–12)7 (3–13)8 (4–12)0.794

Abbreviations: COPD, chronic obstructive pulmonary disease; CAD, coronary artery disease; CVD, cerebrovascular diseases.

Table 7

Laboratory Results in Confirmed COVID-19 Deaths with or without COPD

ParametersDeath Cases (n=180)With COPD (n = 19)Without COPD (n=161)P value
NIQR or n/NNIQR or n/NNIQR or n/N
Age (years)18071 (62–80)1974 (67–81)16170 (60–80)0.139
Sex, n (M:F)180101:791911:816190:710.868
WBC, ×109/L1747.26 (4.64–10.74)197.35 (5.11–10.89)1557.17 (4.54–10.72)0.589
 <4301290.203
 N,×109/L1746.1 (3.78–9.34)196.48 (3.5–10.28)1556.07 (3.79–9.33)0.692
 L,×109/L1740.36 (0.25–0.56)190.31 (0.25–0.5)1550.36 (0.25–0.57)0.512
 <1.0164191450.604
Haemoglobin, g/L174106 (80–122)1997 (82–121)155107 (80–122)0.817
Platelet count,×109/L174109 (48–166.75)19111 (76–156)155109 (42–172)0.22
CRP, mg/L152144.85 (77.18–200)16199.85 (121.73–210.43)136123.1 (76.9–197.7)0.019
Albumin, g/L17334.3 (31.6–37.2)1932.72 (29.7–34.85)15434.47 (31.9–37.48)0.014
ALT, U/L17344 (25–97)1937 (17–63)15444.5 (25.75–104.25)0.15
AST, U/L17362 (36–139)1947 (35–122)15463.5 (36–139.5)0.291
Alkaline phosphatase, U/L169100 (67.95–157)19102.4 (67–150)150100 (67.98–160.25)0.872
Bilirubin, mmol/L17320 (11.95–32.20)1916.2 (11.8–28)15421.05 (11.98–33.15)0.334
Potassium, mmol/L1723.6 (3.2–4.06)193.28 (2.8–3.78)1533.67 (3.2–4.125)0.043
Sodium, mmol/L172138 (133.7–142)19138 (131–142)153138 (133.8–142)0.885
Urea, mmol/L17313.9 (8.7–26.86)1911.91 (8.7–27.5)15413.9 (8.7–26.85)0.732
Creatinine, umol/L17395 (67–192.5)1993 (71–168)15495.5 (66–197)0.979
Creatine kinase, U/L163174 (71–512)18211.5 (61.5–441.5)145174 (74–565.5)0.591
LDH, U/L163604 (420–909)18414 (326–537.75)145634 (438.5–963.5)0.003
Ultra-TnI, ng/mL1560.42 (0.04–2.1)170.16 (0.06–0.63)1390.46 (0.04–2.47)0.287
D-dimer,mg/L16613.83 (3.56–64.19)183.46 (2.04–30.36)14814.76 (4.37–65.42)0.043
Fibrinogen, g/dL1662.95 (1.42–5.12)184.42 (3–6.85)1482.79 (1.27–4.81)0.006
Prothrombin time, s16614.4 (12.7–17.13)1814.2 (13.38–15.4)14814.45 (12.63–17.20)0.848
APTT, s16632.65 (29.2–38.5)1834.85 (30.18–49.05)14832.5 (29.13–38.18)0.177
Oximetry saturation, %17183 (70–90)1883.5 (70–89.25)15383 (70–91)0.932
IgG for SARS-CoV-2, AU/mL19129.14 (56.12–176.56)0ND19129.14 (56.12–176.56)ND
IgM for SARS-CoV-2, AU/mL1925.84 (12.4–73.08)0ND1925.84 (12.4–73.08)ND
IL-2, pg/mL234.05 (3.77–4.78)34 (4-)204.01 (3.76–4.73)0.337
IL-4, pg/mL234.03 (3.27–4.66)35 (4-)203.86 (3.27–4.30)0.018
IL-6, pg/mL50122.79 (34.26–721.99)5171.53 (9.75-)45113.77 (40.55–648.11)0.759
IL-10, pg/mL2318.71 (8361–36.04)324 (14-)2016.41 (6.91–34.77)0.411
TNF, pg/mL233.58 (2.95–4.39)34 (3-)203.65 (2.89–4.32)0.927
INF-γ, pg/mL234.3 (3.64–6.04)34 (4-)204.29 (3.63–6.36)0.855

Abbreviations: WBC, white blood cell; N, neutrophil; L, lymphocyte; CRP, C-reactive protein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; LDH, lactate dehydrogenase; Ultra-TnI, hypersensitivity cardiac troponin I; APTT, activated partial thromboplastin time; SARS-CoV-2, 2019 novel coronavirus; IL, interleukin; TNF, tumor necrosis factor; INF-γ, interferon-γ; ND, no data.

Table 8

The Characteristics of COPD Deaths in Confirmed COVID-19 Cases and During the Followed-Up

ParametersCOVID-19 Confirmed Deaths with COPD#COPD Deaths During COVID-19 PandemicP-value
Number, N2013
Sex (M:F)12:811:20.245
Age, years74 (67–84)71.5 (67.75–81)0.691
BMI, kg/m222.45 (18.75–24.53)20.06 (16.56–22.95)0.231
FEV1, L1.96 (1.57-)*0.69 (0.55–1.57)§0.034
FVC, L3.06 (2.93-)*2.11 (1.59–2.60)§0.014
FEV1/FVC, %65 (51-)*41 (32.5–64.25)§0.108
Hypertension, n (%)10 (50.0)3 (23.1)0.159
Diabetes, n (%)4 (20.0)1 (7.7)0.625
CAD, n (%)7 (35.0)3 (23.1)0.701
CVD, n (%)7 (35.0)4 (30.8)1.000
Malignancy, n (%)2 (10.0)2 (15.4)1.000
Chronic kidney disease, n (%)1 (5.0)1 (7.7)1.000
Chronic liver disease, n (%)0 (0)0 (0)No data

Notes: #A male confirmed case with COVID-19 during followed-up was incorporated in group for statistics. *n=3; §n=10.

Abbreviations: COPD, chronic obstructive pulmonary disease; BMI, body mass index; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; CAD, coronary artery disease; CVD, cerebrovascular diseases.

The First-Episode Syndromes and Comorbidities in Confirmed COVID-19 Deaths with or without COPD Abbreviations: COPD, chronic obstructive pulmonary disease; CAD, coronary artery disease; CVD, cerebrovascular diseases. Laboratory Results in Confirmed COVID-19 Deaths with or without COPD Abbreviations: WBC, white blood cell; N, neutrophil; L, lymphocyte; CRP, C-reactive protein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; LDH, lactate dehydrogenase; Ultra-TnI, hypersensitivity cardiac troponin I; APTT, activated partial thromboplastin time; SARS-CoV-2, 2019 novel coronavirus; IL, interleukin; TNF, tumor necrosis factor; INF-γ, interferon-γ; ND, no data. The Characteristics of COPD Deaths in Confirmed COVID-19 Cases and During the Followed-Up Notes: #A male confirmed case with COVID-19 during followed-up was incorporated in group for statistics. *n=3; §n=10. Abbreviations: COPD, chronic obstructive pulmonary disease; BMI, body mass index; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; CAD, coronary artery disease; CVD, cerebrovascular diseases.

Discussion

In this study, we explored whether the infection by SARS-CoV-2 increases the risks of AEs and all-cause mortality in patients with COPD during the breakout of COVID-19. We found that AEs and hospitalizations of patients with COPD were infrequent, but the risk of all-cause mortality increased in hospitalized COVID-19 patients with pre-existing COPD. In a total of 489 COPD patients followed-up during the four months of the epidemic, only 2 of them were diagnosed as confirmed cases of COVID-19, 1 of which died. Ninety-seven cases (19.84%) had AEs of COPD, 32 cases (6.54%) of which were hospitalized. Both the rates of AEs and hospitalizations (events per person per month) were lower than the prevalence rates in 307 cases of this cohort during the non-epidemic period 1-year ago. In addition, 4.5% of hospitalized patients with COVID-19 and 10.6% of confirmed deaths overlapped COPD, in which, the rates of COPD were much lower than other comorbidities, such as hypertension, diabetes, cardiovascular disease and cerebrovascular diseases. The results indicated that COVID-19 had a slight effect on AEs and hospitalization in COPD patients, which was consistent with a study of SARS patients16 and a literature review on published cases of COVID-19.17 That review concluded that the COVID-19 epidemic was a low rate associated with previous chronic pulmonary diseases, eg COPD, asthma, and bronchiectasis.17 We also found that patients with COVID-19 had a high prevalence rate (40.8%) of comorbidities except for COPD (4.5%), including hypertension (27.3%), diabetes (10.6%), cardio-cerebrovascular diseases (4.5% and 7.3%), malignancies (3.3%), chronic kidney disease (2.3%) and chronic liver disease (2.3%). The deaths with COVID-19 had a much higher prevalence of comorbidities (shown in Table 6), 10.6% of which were combined with COPD. These findings are in agreement with the results published by Zhou et al18 and Wu et al19 from China, and Grasselli et al from Italy.20 However, our patients did not overlap with those studied by Zhou et al and Wu et al, which were from two other hospitals in Wuhan. Another important finding in the present study was that the risk of all-cause mortality increased in hospitalized COVID-19 patients with pre-existing COPD. Of the 37 confirmed COVID-19 patients with pre-existing COPD, 19 cases died, a mortality rate of 51.4%. COVID-19 patients with pre-existing COPD simultaneously combined with cardio-cerebrovascular co-morbidities are at a higher risk of all-cause mortality (Table 7). Moreover, we found that 14 patients with COPD died during the 4-month follow-up period of the COVID-19 epidemic in Hubei. For causes of all-cause mortality, only 1 case died of confirmed COVID-19 and 4 cases died of comorbidities, eg hematological malignancies, cerebrovascular disease and failure of lung transplantation. Nine cases died of respiratory failure caused by AEs of COPD, however, it was not clear if those deaths were associated with COVID-19 due to a lack of data. Old age, low BMI, poor lung function and COVID-19 may be risk factors of all-cause mortality for COPD patients during the epidemic of COVID-19, which is consistent with previous findings about risk factors of all-cause mortality in COPD patients during the non-epidemic period.21,22 A meta-analysis study revealed that COVID-19 patients with pre-existing COPD had a 5.9-fold higher risk of aggravation than patients without COPD.23 However, body mass index (BMI) has different effects on all-cause mortality of COVID-19 or COPD, obesity may be a risk factor for poor outcome in COVID-19-induced lung injury24 and low BMI is associated with a higher risk of all-cause mortality for patients with COPD.25 In the present study, we found that low BMI was related with worse prognosis in COVID-19 subjects with pre-existing COPD. The roles of coronaviruses on AEs of patients with COPD have already been investigated to some extent, but the results have not been consistent.11–13 The SARS coronavirus has a 70% homology with SARS-CoV-2.26 Although chronic diseases are risk factors for SARS infection and progression toward death, COPD was not the most common comorbidity and its prevalence was lower than cardiovascular disease and diabetes in SARS patients.16,27 The SARS associated coronavirus was not detected by RT-PCR in lower respiratory tract specimens of COPD patients with AEs.11 However, smokers and patients with COPD were more susceptible to MERS coronavirus infections28 and may have worse outcomes,12,13 which could be partially explained by upregulated levels of MERS-CoV receptors in the lungs of smokers and COPD patients.29 Angiotensin-converting enzyme-2 (ACE-2) receptor could be an adhesion molecule for SARS-CoV-2 that causes COVID-19,30 the known receptor for both the SARS-coronavirus31 and the human respiratory coronavirus NL63.32 Cigarette smoking and COPD may up-regulate ACE-2 expression in lower airways,33,34 and one might anticipate that these populations would be at increased risk of SARS-CoV-2 infections and more severe presentations of COVID-19.34 In a systematic review, Alqahtani and colleagues35 concluded that COPD and ongoing smoking is most likely associated with the negative progression and adverse outcomes of COVID-19. However, it is striking that patients with chronic respiratory diseases, particularly COPD and asthma, appear to be under-represented in the comorbidities reported for patients with COVID-19.20,36 As for the correlation between coronavirus infection and pre-existing chronic pulmonary disease, our findings are somewhat similar to the SARS study other than the MERS results, and therefore, it needs to be further characterized. The strength of this study lies in the fact that we not only conducted a retrospective analysis of patients with COVID-19, but also targeted a prospectively recruited cohort of COPD patients in the Hubei province to retrospectively follow-up their conditions during the whole COVID-19 pandemic, which may better reflect the conditions of COPD patients in the epidemic and non-epidemic periods. We also acknowledge several limitations of this study. First, data of lung function and BMI could not be obtained for many patients due to the epidemic period, which may influence analysis of the results. Second, it is unclear about the exact causes and the relationship with COVID-19 in the deaths of 9 patients with COPD during the follow-up, after all, second-hand reports via phone interviews with family members cannot be as effective as first-hand medical data. Third, many patients were instructed to stay home due to strict isolation measures during the pandemic. Severe patients had to visit the hospital, having greater mortality risk and biasing outcomes.

Conclusions

Our study revealed that: (a) compared with the non-pandemic period, the incidence of AEs and hospitalization in COPD patients was significantly reduced during the epidemic period; (b) the all-cause mortality of COPD patients during the epidemic period was significantly higher than that during the non-epidemic period; (c) COPD patients with advanced age, lower BMI or poorer lung functions were more likely to die during the outbreak of COVID-19.
  33 in total

Review 1.  Guidelines for the management of adult lower respiratory tract infections.

Authors:  M Woodhead; F Blasi; S Ewig; G Huchon; M Ieven; M Leven; A Ortqvist; T Schaberg; A Torres; G van der Heijden; T J M Verheij
Journal:  Eur Respir J       Date:  2005-12       Impact factor: 16.671

Review 2.  Short-term Exposure to Ambient Fine Particulate Matter Increases Hospitalizations and Mortality in COPD: A Systematic Review and Meta-analysis.

Authors:  Man-Hui Li; Li-Chao Fan; Bei Mao; Jia-Wei Yang; Augustine M K Choi; Wei-Jun Cao; Jin-Fu Xu
Journal:  Chest       Date:  2016-01-12       Impact factor: 9.410

3.  Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy.

Authors:  Giacomo Grasselli; Alberto Zangrillo; Alberto Zanella; Massimo Antonelli; Luca Cabrini; Antonio Castelli; Danilo Cereda; Antonio Coluccello; Giuseppe Foti; Roberto Fumagalli; Giorgio Iotti; Nicola Latronico; Luca Lorini; Stefano Merler; Giuseppe Natalini; Alessandra Piatti; Marco Vito Ranieri; Anna Mara Scandroglio; Enrico Storti; Maurizio Cecconi; Antonio Pesenti
Journal:  JAMA       Date:  2020-04-28       Impact factor: 56.272

4.  Human coronavirus NL63 employs the severe acute respiratory syndrome coronavirus receptor for cellular entry.

Authors:  Heike Hofmann; Krzysztof Pyrc; Lia van der Hoek; Martina Geier; Ben Berkhout; Stefan Pöhlmann
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-16       Impact factor: 11.205

5.  Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China.

Authors:  Chaomin Wu; Xiaoyan Chen; Yanping Cai; Jia'an Xia; Xing Zhou; Sha Xu; Hanping Huang; Li Zhang; Xia Zhou; Chunling Du; Yuye Zhang; Juan Song; Sijiao Wang; Yencheng Chao; Zeyong Yang; Jie Xu; Xin Zhou; Dechang Chen; Weining Xiong; Lei Xu; Feng Zhou; Jinjun Jiang; Chunxue Bai; Junhua Zheng; Yuanlin Song
Journal:  JAMA Intern Med       Date:  2020-07-01       Impact factor: 21.873

6.  A pneumonia outbreak associated with a new coronavirus of probable bat origin.

Authors:  Peng Zhou; Xing-Lou Yang; Xian-Guang Wang; Ben Hu; Lei Zhang; Wei Zhang; Hao-Rui Si; Yan Zhu; Bei Li; Chao-Lin Huang; Hui-Dong Chen; Jing Chen; Yun Luo; Hua Guo; Ren-Di Jiang; Mei-Qin Liu; Ying Chen; Xu-Rui Shen; Xi Wang; Xiao-Shuang Zheng; Kai Zhao; Quan-Jiao Chen; Fei Deng; Lin-Lin Liu; Bing Yan; Fa-Xian Zhan; Yan-Yi Wang; Geng-Fu Xiao; Zheng-Li Shi
Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

7.  Smoking Upregulates Angiotensin-Converting Enzyme-2 Receptor: A Potential Adhesion Site for Novel Coronavirus SARS-CoV-2 (Covid-19).

Authors:  Samuel James Brake; Kathryn Barnsley; Wenying Lu; Kielan Darcy McAlinden; Mathew Suji Eapen; Sukhwinder Singh Sohal
Journal:  J Clin Med       Date:  2020-03-20       Impact factor: 4.241

8.  Clinical and laboratory findings of the first imported case of Middle East respiratory syndrome coronavirus to the United States.

Authors:  Minal Kapoor; Kimberly Pringle; Alan Kumar; Stephanie Dearth; Lixia Liu; Judith Lovchik; Omar Perez; Pam Pontones; Shawn Richards; Jaime Yeadon-Fagbohun; Lucy Breakwell; Nora Chea; Nicole J Cohen; Eileen Schneider; Dean Erdman; Lia Haynes; Mark Pallansch; Ying Tao; Suxiang Tong; Susan Gerber; David Swerdlow; Daniel R Feikin
Journal:  Clin Infect Dis       Date:  2014-08-06       Impact factor: 9.079

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

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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  10 in total

1.  Decrease in Exacerbations During the Coronavirus Disease 2019 Pandemic in a Cohort of Veterans with COPD.

Authors:  Christian Trujillo; Brian Garnet; Ali Vaeli Zadeh; Gisel Urdaneta; Michael Campos
Journal:  Chronic Obstr Pulm Dis       Date:  2021-10-28

Review 2.  The Spill-Over Impact of the Novel Coronavirus-19 Pandemic on Medical Care and Disease Outcomes in Non-communicable Diseases: A Narrative Review.

Authors:  Ivy Lynn Mak; Eric Yuk Fai Wan; Teenie Kwan Tung Wong; Wendy Woo Jung Lee; Esther Wai Yin Chan; Edmond Pui Hang Choi; Celine Sze Ling Chui; Mary Sau Man Ip; Wallace Chak Sing Lau; Kui Kai Lau; Shing Fung Lee; Ian Chi Kei Wong; Esther Yee Tak Yu; Cindy Lo Kuen Lam
Journal:  Public Health Rev       Date:  2022-04-27

Review 3.  Drug Therapies for COPD: A Bibliometric Review From 1980 to 2021.

Authors:  Gao Zhen; Liu Yingying; Dong Jingcheng
Journal:  Front Pharmacol       Date:  2022-04-20       Impact factor: 5.988

4.  Impact of COVID-19 lockdown on the incidence and mortality of acute exacerbations of chronic obstructive pulmonary disease: national interrupted time series analyses for Scotland and Wales.

Authors:  Mohammad A Alsallakh; Shanya Sivakumaran; Sharon Kennedy; Eleftheria Vasileiou; Ronan A Lyons; Chris Robertson; Aziz Sheikh; Gwyneth A Davies
Journal:  BMC Med       Date:  2021-05-17       Impact factor: 8.775

5.  The Risk of COVID-19 Related Hospitalsation, Intensive Care Unit Admission and Mortality in People With Underlying Asthma or COPD: A Systematic Review and Meta-Analysis.

Authors:  Shahina Pardhan; Samantha Wood; Megan Vaughan; Mike Trott
Journal:  Front Med (Lausanne)       Date:  2021-06-16

6.  Alteration of Diffusion Capacity After SARS-CoV-2 Infection: A Pathophysiological Approach.

Authors:  Justine Frija-Masson; Catherine Bancal; Laurent Plantier; Hélène Benzaquen; Laurence Mangin; Dominique Penaud; Florence Arnoult; Martin Flamant; Marie-Pia d'Ortho
Journal:  Front Physiol       Date:  2021-03-25       Impact factor: 4.566

Review 7.  Pulmonary function and COVID-19.

Authors:  Max Thomas; Oliver J Price; James H Hull
Journal:  Curr Opin Physiol       Date:  2021-03-26

8.  Characteristics and clinical outcomes of COVID-19 patients with pulmonary disorders: A single-center, retrospective observational study.

Authors:  Wasim Jamal; Mohamad Y Khatib; Mohammad Al Wraidat; Amna Ahmed; Dore C Ananthegowda; Ahmed S Mohamed; Asra Aroos; Prem Chandra; Mansoor Hameed; Muhammad Yousaf; Ahmed Al-Mohammed; Abdulqadir J Nashwan
Journal:  Health Sci Rep       Date:  2022-02-22

9.  Lifestyle Changes and Exacerbation Frequency of COPD in Times of the Pandemic.

Authors:  Fatma Tokgöz Akyıl; Seda Tural Önür; Sinem Sökücü; Hülya Abalı; Neslihan Boyracı; Elif Çayır; Sedat Altın
Journal:  Turk Thorac J       Date:  2022-05

10.  Reduction in hospitalised COPD exacerbations during COVID-19: A systematic review and meta-analysis.

Authors:  Jaber S Alqahtani; Tope Oyelade; Abdulelah M Aldhahir; Renata Gonçalves Mendes; Saeed M Alghamdi; Marc Miravitlles; Swapna Mandal; John R Hurst
Journal:  PLoS One       Date:  2021-08-03       Impact factor: 3.240

  10 in total

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