Literature DB >> 32883943

Clinical Characteristics and Outcomes of Patients with Severe COVID-19 and Chronic Obstructive Pulmonary Disease (COPD).

Yuanzhou He1, Min Xie1, Jianping Zhao1, Xiansheng Liu1.   

Abstract

BACKGROUND The rapid worldwide spread of the coronavirus disease 2019 (COVID-19) epidemic has placed patients with pre-existing conditions at risk of severe morbidity and mortality. The present study investigated the clinical characteristics and outcomes of patients with severe COVID-19 and chronic obstructive pulmonary disease (COPD). MATERIAL AND METHODS This study enrolled 336 consecutive patients with confirmed severe COVID-19, including 28 diagnosed with COPD, from January 20, 2020, to April 1, 2020. Demographic data, symptoms, laboratory values, comorbidities, and clinical results were measured and compared in survivors and non-survivors. RESULTS Patients with severe COVID-19 and COPD were older than those without COPD. The proportions of men, of patients admitted to the intensive care unit (ICU) and of those requiring invasive ventilation were significantly higher in patients with than without COPD. Leukocyte and neutrophil counts, as well as the concentrations of NT-proBNP, hemoglobin, D-dimer, hsCRP, ferritin, IL-2R, TNF-alpha and procalcitonin were higher, whereas lymphocyte and monocyte counts were lower, in patients with than without COPD. Of the 28 patients with COPD, 22 (78.6%) died, a rate significantly higher than in patients without COPD (36.0%). A comparison of surviving and non-surviving patients with severe COVID-19 and COPD showed that those who died had a longer history of COPD, more fatigue, and a higher ICU occupancy rate, but a shorter average hospital stay, than those who survived. CONCLUSIONS COPD increases the risks of death and negative outcomes in patients with severe COVID-19.

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Year:  2020        PMID: 32883943      PMCID: PMC7491229          DOI: 10.12659/MSM.927212

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Since December 2019, the sudden outbreak of coronavirus disease 2019 (COVID-19) has become a prominent public health emergency worldwide, with severe negative effects, including high death rates and major economic disruptions [1]. As of May 1, 2020, 215 countries and regions had reported cases of viral infection, with over 3.2 million confirmed cases and over 234 000 deaths due to COVID-19 worldwide [2]. Factors associated with the risks of severe disease and death include older age, male sex, smoking, and comorbidities [3]. Chronic obstructive pulmonary disease (COPD) is common in China, estimated in 2020 to affect 13.7% of individuals aged >40 years [4]. Most patients affected by this disease are elderly men who have smoked for a long time. COPD is often associated with other systemic diseases and can lead to disordered pulmonary ventilation and even ventilation dysfunction. COPD can therefore increase the risk of infection and further complicate the treatment of patients with severe pulmonary infections. These findings suggested that COPD may increase the risks of severe COVID-19 infection and death. The most common comorbidities associated with poor prognosis in patients with COVID-19 include hypertension, diabetes, heart disease, respiratory disease, pregnancy, kidney disease, and malignancy [5]. To date, however, less is known about the relationship between clinical presentation and prognosis in patients with severe COVID-19 and COPD [6]. The present study therefore analyzed the clinical characteristics of patients with severe COVID-19 and COPD and determined the relationship between COPD and the prognosis of patients with severe COVID-19.

Material and Methods

Ethics statement

The study was carried out in strict compliance with the provisions of the Declaration of Helsinki and was approved by the Tongji Medical College Ethics Committee at Tongji Hospital and the Huazhong University of Science and Technology Committee. All the patients provided oral informed consent.

Study design and population

This study included all patients hospitalized with severe COVID-19 at Tongji Hospital, Wuhan, China, from January 20, 2020, to April 10, 2020. Severe COVID-19 was defined as positivity for SARS-CoV-2 nucleic acid by real-time PCR or positivity for SARS-CoV-2-specific IgM and IgG antibodies and at least one of the following manifestations: respiratory rate (RR) ≥30/min, oxygen saturation ≤93% in a resting state, PaO2/FiO2 ≤300 mmHg, pulmonary imaging (CT/DR) showing significant progression >50% within 24 to 48 hours, respiratory failure requiring mechanical ventilation, shock, or admission to the Intensive Care Unit (ICU) for failure of other organs [7]. Patients with a previous history of COPD were defined as those with a long history of smoking, a diagnosis of COPD at our hospital, and treatment with inhaled drugs.

Data collection

Data collected from the medical records of each patient included age, sex, duration of COPD, treatment for COPD, comorbidities, and symptoms that included fever, sputum, dyspnea, cough, fatigue, chest pain, nausea, vomiting, and diarrhea. Laboratory parameters included routine blood tests; tests of liver, renal, and blood coagulation function; and concentrations of brain natriuretic peptide, troponin I, interleukin 2 receptor, C-reactive protein, procalcitonin, interleukin 6, interleukin 8, interleukin 10, and tumor necrosis factor-α. Also recorded were sepsis-related organ failure assessment (SOFA) score [8], patient outcomes, and length of stay in the hospital.

Statistical analysis

Because the incidence and prevalence of COVID-19 in COPD patients were unknown, sample size could not be calculated prior to the study. Normally distributed continuous variables were reported as the mean±SEM and compared by independent t-tests. Non-normally distributed continuous variables were reported as median (first and third quartiles) and compared by Mann-Whitney U-tests. Categorical variables were reported as number (%) and compared by chi-square tests. The relationships of clinical factors to death from severe COVID-19 were assessed using a Cox proportional hazards regression model. Hazard ratios (HRs) and 95% confidence intervals (95% CI) were analyzed. All statistical analyses were performed using SPSS 20 software, with P<0.05 defined as statistically significant.

Results

This study enrolled 336 consecutively hospitalized patients with severe COVID-19, including 28 with COPD. The overall median age was 65 (50-77) years but was significantly higher in patients with than without COPD (71 [63-79] years vs. 62 [43-73] years, P<0.001). The proportion of men was also significantly higher in patients with than without COPD (P=0.004). Hypertension was the most common comorbidity in these patients (38.1%), followed by diabetes (23.2%), coronary heart disease (17.6%), cerebrovascular disease (4.5%), cancer (4.1%), chronic kidney disease (2.4%), autoimmune disease (1.2%), and chronic liver disease (0.9%). COPD ranked as the fourth most common comorbidity in these patients with severe COVID-19, at 8.3% (Table 1).
Table 1

Clinical features of severe COVID-19 patients with and without COPD.

Total (n=336)COPD (n=28)Non-COPD (n=308)P value
Number (%)Number (%)Number (%)
Age*65 (50–77)71 (63–79)62 (43–73)<0.001
Sex
 Male201 (59.8)24 (85.7)177 (57.5)0.004
 Female135 (40.2)4 (14.3)131 (42.5)
Comorbidities
 Essential hypertension128 (38.1)9 (32.1)119 (39.3)0.458
 Diabetes78 (23.2)5 (17.9)73 (23.7)0.483
 Cardiovascular disease59 (17.6)10 (35.7)49 (15.9)0.008
 Cerebrovascular disease15 (4.5)4 (14.3)11 (3.6)0.009
 Chronic kidney disease8 (2.4)2 (7.1)6 (1.9)0.089
 Chronic liver disease3 (0.9)0 (0)3 (1.0)0.597
 Malignancy14 (4.1)2 (7.1)12 (3.9)0.423
 Autoimmune disease4 (1.2)0 (0)4 (1.3)0.541
Symptoms
 Fever298 (88.7)24 (85.7)274 (89.0)0.426
 Cough255 (76.0)28 (100)227 (73.7)0.003
 Expectoration97 (28.9)28 (100)69 (22.8)<0.001
 Dyspnea203 (60.4)28 (100)175 (56.8)<0.001
 Fatigue161 (47.9)20 (71.4)141 (46.5)0.012
 Pectoralgia21 (2.4)1 (3.6)20 (6.6)0.5292
 Diarrhea93 (27.7)7 (25.0)86 (28.4)0.7031
 Nausea19 (5.7)2 (7.1)17 (5.6)0.7388
 Vomiting12 (3.6)2 (7.1)10 (3.3)0.2980
SOFA score1.98±1.062.04±1.151.87±0.940.0792
ICU patients158 (47.0)19 (67.9)139 (45.4)0.0228
Glucocorticoid treatment196 (58.3)28 (100)168 (54.5)<0.001
Mechanical ventilation**136 (40.5)19 (67.9)117 (38.0)<0.001
Length of hospital stay***14 (8–19)11 (6–14)14 (10–21)0.001
Mortality133 (39.6)22 (78.6)111 (36.0)<0.001

Data reported as median interquartile range (IQR) years;

invasive mechanical ventilation only;

data reported displayed as IQR: days.

ICU – Intensive Care Unit; SOFA score – Sepsis-related Organ Failure Assessment score. P<0.05 was defined as statistically significant.

The most common symptoms of severe COVID-19 were fever (88.7%), cough (76.0%), dyspnea (60.4%), fatigue (47.9%), and expectoration (28.9%). Cough, expectoration, dyspnea, and fatigue were more common in patients with COPD than in those without COPD. Other symptoms, including diarrhea (27.7%), nausea (5.7%), vomiting (3.6%), and chest pain (2.4%), as well as SOFA scores, did not differ significantly in these 2 groups. Of the 28 patients with severe COVID-19 and COPD, 19 (67.9%) were admitted to the ICU, a rate significantly higher than in patients without COPD (45.4%). All patients with COPD used glucocorticoids, compared with only 54.5% of those without COPD. Similarly, the utilization rates of invasive ventilation were higher in patients with (67.9%) COPD than in those without (38.0%) COPD. In addition, median hospital stay (11 [6-14] days vs. (14 [10-21] days) and mortality rate (78.6% vs. 36.0%) were higher in patients with than without COPD (Table 1). At admission, COPD patients had higher leukocyte (8.24×109/L vs. 5.72×109/L) and neutrophil (6.78×109/L vs. 3.54×109/L) counts and higher hemoglobin (13.2 vs. 11.3 g/L), NT-proBNP (729 vs. 422 pg/L), D-dimer (4.1 vs. 1.9 mg/L), hsCRP (79.6 vs. 49.1 mg/L), ferritin (1315 vs. 701 mg/L), IL-2R (962 vs. 576 U/mL), TNF-α (14.5 vs. 9.6 ng/L), and PCT (0.21 vs. 0.09 ng/mL) concentrations than the patients without COPD. In contrast, lymphocyte (0.46×109/L vs. 0.71×109/L) and monocyte (0.29×109/L vs. 0.41×109/L) counts were lower in the COPD group. Other laboratory indicators, such as platelet counts, prothrombin times, APTT, liver and kidney function tests, and CK, LDH, IL-6, IL-8 and IL-10 concentrations, did not differ in these 2 groups (Table 2).
Table 2

Laboratory results of severe COVID-19 patients with and without COPD.

Normal rangeCOPD (n=28)Non-COPD (n=308)P value
Median (IQR)Median (IQR)
Blood routine
 Leukocyte count, ×109/L3.5–9.58.24 (5.23–13.67)5.72 (4.21–9.18)0.001
 Neutrophil count, ×109/L1.8–6.36.78 (3.92–10.96)3.54 (2.38–7.66)0.001
 Lymphocyte count, ×109/L1.1–3.20.46 (0.31–0.97)0.71 (0.51–1.27)0.012
 Monocyte count, ×109/L0.1–0.60.29 (0.21–0.47)0.41 (0.27–0.57)0.006
 Hemoglobin, g/L115–150132 (117–146)113 (98–134)0.026
 Platelet count, ×109/L125–350171 (125–224)178 (128–237)0.585
Blood biochemistry
 ALT, U/L≤3326 (15–45)23 (14–41)0.748
 AST, U/L≤3236 (22–57)32 (19–55)0.637
 Albumin, g/L35–5231 (24–45)33 (26–48)0.463
 UN, mmol/L3.1–8.87.1 (4.8–9.7)6.7 (4.0–9.1)0.379
 Cr, μmol/L45–10476 (51–109)71 (42–101)0.281
 CK, U/L≤170128 (64–282)113 (56–276)0.326
 LDH, U/L135–214427 (342–619)459 (354–651)0.194
 NT-proBNP, pg/L<285729 (253–2421)422 (153–1028)0.001
Blood coagulation
 PT, s9–1312.4 (11.5–16.8)13.1 (12.2–17.9)0.871
 APTT, s25–31.332.4 (24.7–36.5)28.1 (21.4–30.8)0.415
 D-dimer, mg/L0–0.554.1 (1.3–16.4)1.9 (0.9–11.3)0.001
Inflammatory markers
 hsCRP, mg/L<179.6 (43.5–121.4)49.1 (32.8–93.2)0.001
 ESR, mm/H0–2029.0 (14.0–55.6)33.2 (19.2–61.3)0.712
 Ferritin, μg/L15–1501315 (564–2507)701 (278–1980)0.001
 IL-2R, U/mL223–710962 (541–1237)576 (489–989)0.003
 IL-6, ng/L<737.8 (10.1–112.8)32.1 (6.5–97.3)0.312
 IL-8, ng/L<6229.4 (12.1–60.5)34.1 (14.6–68.2)0.295
 IL-10, ng/L<9.1011.2 (4.1–15.8)13.5 (5.3–17.6)0.631
 TNF-α, ng/L<8.114.5 (7.9–22.8)9.6 (5.1–13.1)0.001
Bacterial infection marker
 PCT, ng/mL0.02–0.050.21 (0.10–1.15)0.09 (0.05–0.18)0.001

ALT – alanine aminotransferase; AST – aspartate aminotransferase; UN – urea nitrogen; Cr – creatinine; CK – creatine kinase; LDH – lactic dehydrogenase; PT – prothrombin time; APTT – activated partial thromboplastin time; hsCRP – high sensitive C-reactive protein; IL – interleukin; NT-proBNP – N-terminal pro-brain natriuretic peptide; TNF-α – tumor necrosis factor-α; PCT – procalcitonin; ESR – erythrocyte sedimentation rate. P<0.05 was defined as statistically significant.

Of the 336 patients with severe COVID-19, 133 (39.6%) died. Compared with survivors, non-survivors were older (69 [57-80] vs. 48 [36-69] years), had a larger proportion of men (59.8% vs. 40.2%), and were more likely to have other diseases, including hypertension (45.9% vs. 33%), diabetes (32.3% vs. 17.2%), cardiovascular disease (27.1% vs. 11.3%), and COPD (16.5% vs. 3.0%) (Table 3). The ICU admission rate (78.9% vs. 26.1%), the use of glucocorticoids (91.0% vs. 37.0%), SOFA scores (<0.001), and the need for mechanical ventilation support (92.5% vs. 6.4%) were higher in patients who died, whereas the average length of hospital stay (10 [5-14] days vs. 16 [12-24] days) was significantly shorter (Table 3).
Table 3

Baseline characteristics of survivors and non-survivors with severe COVID-19 patients.

Total (n=336)Survivors (n=203)Non-survivors (n=133)P value
Number (%)Number (%)Number (%)
Age*65 (50–77)48 (36–69)69 (57–80)<0.001
Sex
 Male201 (59.8)100 (49.3)101 (75.9)<0.001
 Female135 (40.2)103 (50.7)32 (24.1)
Comorbidities
 COPD28 (8.3)6 (3.0)22 (16.5)<0.001
 Essential hypertension128 (38.1)67 (33.0)61 (45.9)0.018
 Diabetes78 (23.2)35 (17.2)43 (32.3)0.001
 Cardiovascular disease59 (17.6)23 (11.3)36 (27.1)<0.001
 Cerebrovascular disease15 (4.5)7 (3.4)8 (6.0)0.265
 Chronic kidney disease8 (2.4)5 (2.5)3 (2.3)0.903
 Chronic liver disease3 (0.9)2 (1.0)1 (0.8)0.824
 Malignancy14 (4.1)8 (3.9)6 (4.5)0.798
 Autoimmune disease4 (1.2)3 (1.5)1 (0.8)0.549
SOFA score1.98±1.061.02±0.932.46±1.23<0.001
ICU patients158 (47.0)53 (26.1)105 (78.9)<0.001
Glucocorticoid treatment196 (58.3)75 (37.0)121 (91.0)<0.001
Mechanical ventilation**136 (40.5)13 (6.4)123 (92.5)<0.001
Length of hospital stay***14 (8–19)16 (12–24)10 (5–14)<0.001

Data reported as IQR, years;

invasive mechanical ventilation only;

data reported as IQR, days.

ICU – Intensive Care Unit; SOFA score – Sepsis-related Organ Failure Assessment score. P<0.05 was defined as statistically significant.

Of the 28 patients with severe COVID-19 and COPD, 22 (78.6%) died. Kaplan-Meier analysis showed that the overall survival rate was worse in severe COVID-19 patients with than without COPD (HR 4.87; 95% CI 1.03 to 9.14, P<0.01; Figure 1). Cox proportional hazard regression analysis showed that the overall survival rate remained worse in severe COVID-19 patients with than without COPD after adjusting for age and sex (HR 2.75; 95% CI 1.01 to 5.67, P=0.018) and after adjusting for hypertension and cardio-cerebrovascular disease (HR 1.98; 95% CI 0.59 to 3.44, P=0.037).
Figure 1

Kaplan-Meier survival curves comparing patients with severe COVID-19 with and without COPD (** P<0.01).

A comparison of survivors and non-survivors in the group with severe COVID-19 and COPD showed that those who died were significantly more likely to be men (P<0.001); to have a longer history of COPD (P=0.032), a higher SOFA score (P<0.001), and a higher likelihood of fatigue (81.8% vs. 33.3%) and to be admitted to the ICU. However, the median length of hospital stay was significantly shorter in patients who died than in those who survived (8 [5-13] days vs. 15 [11-19] days) (Table 4). Moreover, a comparison of survivors and non-survivors in this group showed that leukocyte (9.76×109/L vs. 6.32×109/L) and neutrophil (9.01×109/L vs. 4.66×109/L) counts were higher in non-survivors, as were blood urea nitrogen (9.2 vs. 5.4 mmol/L), creatinine (92 vs. 69 μmol/L), CK (168 vs. 92 U/L), LDH (519 vs. 316 U/L), NT-proBNP (889 v 398 pg/L), D-dimer (7.96 vs. 2.56 mg/L), hsCRP (89.1 vs. 44.3 mg/L), ferritin (1569 vs. 536 mg/L), IL-2R (1024 vs. 712 U/mL), TNF-α (12.6 vs. 6.4 ng/L), and PCT (0.47 vs. 0.14 ng/mL) concentrations. In contrast, lymphocyte (0.44×109/L vs. 0.87×109/L) and monocyte (0.31×109/L vs. 0.52×109/L) counts and albumin levels (25 vs. 33 g/L) were significantly lower in non-survivors (Table 5).
Table 4

Clinical features of survivors and non-survivors with severe COVID-19 and COPD.

Total (n=28)Survivors (n=6)Non-survivors (n=22)P value
Number (%)Number (%)Number (%)
Age#70.5±10.667.8±8.772.3±11.40.379
Sex
 Male24 (85.7)4 (66.7)20 (90.9)<0.001
 Female4 (14.3)2 (33.3)2 (9.1)
COPD duration*5 (3–8)3.5 (2–5.5)5 (3–8)0.0320
COPD treatment
 None7 (25.0)3 (50.0)4 (18.2)0.111
 LAMA/LABA10 (35.7)2 (33.3)8 (36.4)0.891
 ICS+LAMA/LABA6 (21.4)1 (16.7)5 (22.7)0.748
 Oxygen therapy3 (10.7)0 (0.0)3 (13.6)0.338
 Ventilatory(NIV) support2 (7.2)0 (0.0)2 (9.1)0.443
Comorbidities
 Essential hypertension9 (32.1)2 (33.3)7 (31.8)0.944
 Diabetes5 (17.9)2 (33.3)3 (13.6)0.264
 Cardiovascular disease10 (35.7)3 (50.0)7 (31.8)0.410
 Cerebrovascular disease4 (14.3)1 (16.7)3 (13.6)0.851
 Chronic kidney disease2 (7.1)2 (33.3)0 (0.0)0.005
 Chronic liver disease0 (0.0)0 (0.0)0 (0.0)
 Malignancy2 (7.1)0 (0.0)2 (9.1)0.443
 Autoimmune disease0 (0.0)0 (0.0)0 (0.0)
Symptoms
 Fever24 (85.7)4 (66.7)20 (90.9)0.133
 Cough28 (100)6 (100)22 (100)
 Expectoration28 (100)6 (100)22 (100)
 Dyspnea28 (100)6 (100)22 (100)
 Fatigue20 (71.4)2 (33.3)18 (81.8)0.020
 Pectoralgia1 (3.6)0 (0.0)1 (4.5)0.595
 Diarrhea7 (25.0)2 (33.3)5 (22.7)0.595
 Nausea2 (7.1)1 (16.7)1 (4.5)0.307
 Vomiting2 (7.1)0 (0.0)2 (9.1)0.443
SOFA score2.04±1.151.49±1.123.39±1.47<0.001
ICU patients19 (67.9)2 (33.3)17 (77.3)0.041
Glucocorticoid treatment28 (100)6 (100)22 (100)
Mechanical ventilation**19 (67.9)3 (50.0)16 (72.7)0.291
Length of hospital stay*** 11 (6–14)15 (11–19)8 (5–13)0.003

Mean±SD, years;

data reported as IQR, years;

invasive mechanical ventilation only;

data reported as IQR, days.

ICU – Intensive Care Unit; SOFA score – Sepsis-related Organ Failure Assessment score. P<0.05 was defined as statistically significant.

Table 5

Laboratory findings of survivors and non-survivors with severe COVID-19 and COPD.

Normal rangeSurvivors (n=6)Non-survivors (n=22)P value
Median (IQR)Median (IQR)
Blood routine
 Leukocyte count, ×109/L3.5–9.56.32 (3.78–8.14)9.76 (4.91–14.54)0.003
 Neutrophil count, ×109/L1.8–6.34.66 (3.02–6.45)9.01 (5.27–13.16)0.001
 Lymphocyte count, ×109/L1.1–3.20.87 (0.49–1.67)0.44 (0.31–0.67)0.001
 Monocyte count, ×109/L0.1–0.60.52 (0.34–0.77)0.31 (0.18–0.55)0.016
 Hemoglobin, g/L115–150135 (107–166)141 (114–175)0.486
 Platelet count, ×109/L125–350173 (120–226)182 (134–245)0.279
Blood biochemistry
 ALT, U/L≤3321 (14–37)24 (18–46)0.136
 AST, U/L≤3234 (21–49)35 (22–52)0.572
 Albumin, g/L35–5233 (21–43)25 (19–31)0.001
 BUN, mmol/L3.1–8.85.4 (3.8–7.5)9.2 (6.4–13.6)0.001
 Cr, μmol/L45–10469 (42–93)92 (57–121)0.012
 CK, U/L≤17092 (45–129)168 (86–296)0.029
 LDH, U/L135–214316 (219–427)519 (324–755)0.001
 NT-BNP, pg/L<285398 (149–998)889 (354–2410)0.001
Blood coagulation
 PT, s9–1311.9 (9.5–15.8)14.2 (10.2–18.5)0.061
 APTT, s25–31.331.8 (23.5–34.8)33.4 (24.9–36.1)0.215
 D-dimer, mg/L0–0.552.56 (0.8–6.4)7.96 (2.9–14.2)0.001
Inflammatory markers
 hsCRP, mg/L<144.3 (29.5–87.4)89.1 (35.6–129.2)0.001
 ESR, mm/H0–2031.2 (17.0–46.0)33.5 (18.1–55.6)0.538
 Ferritin, μg/L15–150536 (249–1645)1569 (579–2598)0.001
 IL-2R, U/mL223–710712 (558–915)1024 (796–1357)0.003
 IL-6, ng/L<734.2 (8.8–78.5)35.9 (9.6–96.7)0.479
 IL-8 >62 ng/L<6231.5 (13.3–56.5)35.2 (15.6–69.8)0.172
 IL-10 >9.1 ng/L<9.1012.4 (5.2–14.6)14.9 (6.3–15.7)0.324
 TNF-α >8.1 ng/L<8.16.4 (4.9–11.8)12.6 (6.7–17.5)0.001
Bacterial infection marker
 PCT, ng/mL0.02–0.050.14 (0.09–0.28)0.47 (0.13–0.58)0.001

ALT – alanine aminotransferase; AST – aspartate aminotransferase; UN – urea nitrogen; Cr – creatinine; CK – creatine kinase; LDH – lactic dehydrogenase; PT – prothrombin time; APTT – activated partial thromboplastin time; hsCRP – high sensitive C-reactive protein; ESR – erythrocyte sedimentation rate; IL – interleukin; NT-proBNP – N-terminal pro-brain natriuretic peptide; TNF-α – tumor necrosis factor-α; PCT – procalcitonin. Data expressed as median interquartile range (IQR). P values in the 2 groups compared by the χ2 test, Fisher’s exact test, or the Mann-Whitney U test, as appropriate. P<0.05 was defined as statistically significant.

Discussion

Despite the widespread COVID-19 pandemic and the large numbers of infected patients, relatively little is known about the clinical course in patients with severe COVID-19 and COPD [9]. Of the 336 patients with severe COVID-19 included in this study, only 28 (8.3%) had COPD. These patients were older, had more severe inflammation, and were more prone to bacterial infection than patients with severe COVID-19 without COPD. Furthermore, Kaplan-Meier analysis demonstrated that overall survival was significantly lower in severe COVID-19 patients with COPD than in those without COPD. Our results showed that COPD was strongly associated with poor prognosis and with adverse clinical outcomes such as ICU admission, glucocorticoid use, invasive mechanical ventilation, and death. Comparisons of survivors and non-survivors with severe COVID-19 and COPD showed that non-survivors were older, were more likely to be men and were more likely to be admitted to the ICU than survivors. Most COPD patients in China are men with a long history of smoking. In addition, more COVID-19 patients are male, as SARS-CoV-2 infection is through the ACE2 receptor, which is expressed at almost 3-fold higher levels in men than in women [10-12]. Long-term exposure to smoke damages the airway intima and induces the proliferation of airway smooth muscle cells, airway remodeling, disordered pulmonary function, and even ventilation disorders [13]. SARS-CoV-2 infection exacerbates previous lung function injury, significantly increasing the rates of ventilator use and ICU admission. Glucocorticoids are widely used to relieve airway inflammation, especially in severely ill patients [14]. However, anatomically small airways are chronically damaged in COPD patients. Because this damage is usually combined with bronchiectasis and obstruction of airway sputum removal, the small airways are more likely to be infected with bacteria, even with extensively drug-resistant bacteria, exacerbating the original severe pulmonary infection [15]. Together, these factors contribute to a high risk of adverse outcomes in patients with severe COVID-19 and COPD. Cardiovascular and cerebrovascular diseases are more likely to be present in severe COVID-19 patients with than without COPD. These conditions may be due to long-term hypoxia, chronic inflammation, and other factors leading to vascular endothelial injury [16]. Although the clinical features of the 2 groups in the present study were generally similar, cough, expectoration, dyspnea, and fatigue occurred more frequently in patients with than without COPD. However, because of the small sample size, the differences were not statistically significant. Laboratory test results showed that lymphocyte and monocyte counts were significantly lower, whereas leukocyte and neutrophil counts, as well as hemoglobin and procalcitonin (PCT) levels, were significantly higher, in patients with than without COPD. These results suggested that bacterial infection may have occurred after viral infection. However, the higher hemoglobin concentration in patients with COPD may have been due to a lack of oxygen. In addition, we found that markers of inflammation, such as hsCRP, ferritin, IL-2R, and TNF-α, were higher in patients with than without COPD, as were the rates of coagulation disorders and myocardial injuries. A comparison of surviving and non-surviving patients with severe COVID-19 and COPD found that leukocyte counts, neutrophil counts, and procalcitonin levels were higher, whereas lymphocyte and monocyte counts were lower, in non-survivors. Moreover, there was greater damage to myocardial, hepatic, and renal functions in non-survivors than in survivors. These results indicate that the degree of inflammation is greater in severe COVID-19 patients with than without COPD and that the degree of inflammation is closely related to patient prognosis. This study has several limitations. First, it was a single-center, retrospective study in a relatively small number of patients, which made it difficult to accurately assess various risk factors using a multifactor regression model. Second, the diagnosis of COPD was based on patient history, not on objective analysis of lung function. Third, this study focused on patients with early-stage COVID-19, indicating the need for studies in the later stages of this disease.

Conclusions

These results indicate that severe COVID-19 patients with COPD have a higher prevalence of cardiovascular and cerebrovascular diseases, are more likely to receive mechanical ventilation and to be treated in the ICU, and have a higher mortality rate than severe COVID-19 patients without COPD. These results also suggest that, in severe COVID-19 patients, COPD is a high risk factor for poor prognosis. Therefore, COPD patients should be more vigilant to prevent infection with COVID-19. Larger studies with longer follow-up durations are needed to confirm these findings.
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1.  Major causes of death in China.

Authors:  Peter D Wagner; Giovanni Viegi; Carlos M Luna; Yoshinosuke Fukuchi; Paul A Kvale; Asma El Sony
Journal:  N Engl J Med       Date:  2006-02-23       Impact factor: 91.245

2.  Prognostic Accuracy of the SOFA Score, SIRS Criteria, and qSOFA Score for In-Hospital Mortality Among Adults With Suspected Infection Admitted to the Intensive Care Unit.

Authors:  Eamon P Raith; Andrew A Udy; Michael Bailey; Steven McGloughlin; Christopher MacIsaac; Rinaldo Bellomo; David V Pilcher
Journal:  JAMA       Date:  2017-01-17       Impact factor: 56.272

Review 3.  COPD Guidelines: A Review of the 2018 GOLD Report.

Authors:  Shireen Mirza; Ryan D Clay; Matthew A Koslow; Paul D Scanlon
Journal:  Mayo Clin Proc       Date:  2018-10       Impact factor: 7.616

4.  ISTH interim guidance on recognition and management of coagulopathy in COVID-19.

Authors:  Jecko Thachil; Ning Tang; Satoshi Gando; Anna Falanga; Marco Cattaneo; Marcel Levi; Cary Clark; Toshiaki Iba
Journal:  J Thromb Haemost       Date:  2020-04-27       Impact factor: 5.824

5.  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

6.  Long-term macrolide treatment for the prevention of acute exacerbations in COPD: a systematic review and meta-analysis.

Authors:  Yanan Cui; Lijuan Luo; Chenbei Li; Ping Chen; Yan Chen
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-11-22

Review 7.  Endothelial microvesicles in hypoxic hypoxia diseases.

Authors:  Fan Deng; Shuang Wang; Riping Xu; Wenqian Yu; Xianyu Wang; Liangqing Zhang
Journal:  J Cell Mol Med       Date:  2018-05-29       Impact factor: 5.295

8.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

9.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

10.  Three novel prevention, diagnostic, and treatment options for COVID-19 urgently necessitating controlled randomized trials.

Authors:  Richard I Horowitz; Phyllis R Freeman
Journal:  Med Hypotheses       Date:  2020-05-22       Impact factor: 1.538

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1.  Comparison of Analytical Values D-Dimer, Glucose, Ferritin and C-Reactive Protein of Symptomatic and Asymptomatic COVID-19 Patients.

Authors:  Nerea Pérez-García; Jessica García-González; Mar Requena-Mullor; Manuel Ángel Rodríguez-Maresca; Raquel Alarcón-Rodríguez
Journal:  Int J Environ Res Public Health       Date:  2022-04-28       Impact factor: 4.614

2.  Clinical characteristics and outcomes of hospitalized COVID-19 patients with COPD.

Authors:  Onur Turan; Burcu Arpınar Yigitbas; Pakize Ayşe Turan; Arzu Mirici
Journal:  Expert Rev Respir Med       Date:  2021-05-13       Impact factor: 3.772

3.  Effect of comorbid pulmonary disease on the severity of COVID-19: A systematic review and meta-analysis.

Authors:  Askin Gülsen; Inke R König; Uta Jappe; Daniel Drömann
Journal:  Respirology       Date:  2021-05-06       Impact factor: 6.424

4.  Risk factors of developing critical conditions in Iranian patients with COVID-19.

Authors:  Alireza Arman; Maryam Tajik; Maryam Nazemipour; Zahra Ahmadinejad; Sahar Keyvanloo Shahrestanaki; Ebrahim Hazrati; Nasrin Mansournia; Mohammad Ali Mansournia
Journal:  Glob Epidemiol       Date:  2020-12-08

5.  Evaluation and characterization of HSPA5 (GRP78) expression profiles in normal individuals and cancer patients with COVID-19.

Authors:  Jiewen Fu; Chunli Wei; Jiayue He; Lianmei Zhang; Ju Zhou; Kyathegowdanadoddi Srinivasa Balaji; Shiyi Shen; Jiangzhou Peng; Amrish Sharma; Junjiang Fu
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Review 6.  The Role of Bacterial and Fungal Human Respiratory Microbiota in COVID-19 Patients.

Authors:  Saber Soltani; Armin Zakeri; Milad Zandi; Mina Mobini Kesheh; Alireza Tabibzadeh; Mahsa Dastranj; Samireh Faramarzi; Mojtaba Didehdar; Hossein Hafezi; Parastoo Hosseini; Abbas Farahani
Journal:  Biomed Res Int       Date:  2021-02-23       Impact factor: 3.411

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.  The effect of cardiovascular disease and acute cardiac injury on fatal COVID-19: a meta-analysis.

Authors:  Jiali Long; Yefei Luo; Yuehong Wei; Chaojun Xie; Jun Yuan
Journal:  Am J Emerg Med       Date:  2021-04-20       Impact factor: 4.093

9.  Not Only High Number and Specific Comorbidities but Also Age Are Closely Related to Progression and Poor Prognosis in Patients With COVID-19.

Authors:  Dafeng Liu; Yongli Zheng; Jun Kang; Dongmei Wang; Lang Bai; Yi Mao; Guifang Zha; Hong Tang; Renqing Zhang
Journal:  Front Med (Lausanne)       Date:  2022-01-07

10.  Clinical characteristics and risk factors for mortality among COVID-19 hospitalized patients in UAE: Does ethnic origin have an impact.

Authors:  Salah AbuRuz; Ahmad Al-Azayzih; Sham ZainAlAbdin; Rami Beiram; Mohammed Al Hajjar
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  10 in total

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