| Literature DB >> 32392262 |
Jaber S Alqahtani1,2, Tope Oyelade3, Abdulelah M Aldhahir1,4, Saeed M Alghamdi5,6, Mater Almehmadi7, Abdullah S Alqahtani2, Shumonta Quaderi1, Swapna Mandal1,8, John R Hurst1.
Abstract
BACKGROUND: Coronavirus disease 2019 (COVID-19) is an evolving infectious disease that dramatically spread all over the world in the early part of 2020. No studies have yet summarized the potential severity and mortality risks caused by COVID-19 in patients with chronic obstructive pulmonary disease (COPD), and we update information in smokers.Entities:
Mesh:
Year: 2020 PMID: 32392262 PMCID: PMC7213702 DOI: 10.1371/journal.pone.0233147
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1PRISMA flow chart for the included studies.
Characteristics of the included studies.
| Study Name | Country/ Type of study | Sample size (M = male, F = female) | Age mean ±SD or median, range | Current Smokers | COPD patients | COPD Survived | COPD Non-Survived | Mortality rate for study/COPD | Severe cases for study/ severe COPD Cases |
|---|---|---|---|---|---|---|---|---|---|
| Arentz M et al. 2020 [ | United states/ Washington Retrospective study from February 20, 2020, and March 5, 2020, | 21 M = 11 (52%) F = 10 (48%) | 70 (43–59) | NA | 7 (33.3%) | NA | NA | 11 (52.4%) | NA |
| Guan et el. 2020 [ | China/ 30 provinces Retrospective study from December 11, 2019, and January 29, 2020 | 1099 M = 640 (58.3%) F = 459 (41.7%) | 47 (35–58) Severe 52 (40–65) Non-severe 45 (34–57) | 137 (12.5%) Severe cases = 29/172 (16.9%) | 12 (1.1%) | NA | NA | 15 (1.4%) | 173 (15.7%)/ 6 (3.4%) |
| Huang Y et al. 2020 [ | China /Hubei province Retrospective study from December 2019 to January 2020 | 34 M = 14 (41.2%) F = 20 (58.8%) | 56.24 ± 17.14 | NA | 3 (8.82%) | NA | NA | NA | NA |
| Huang et al. 2020 [ | China/Wuhan Prospective study from Dec 16, 2019, to Jan 2, 2020 | 41 M = 30 (73%) F = 11 (27%) | 49 (41–58·) | 3 (7%) | 1 (2%) | NA | NA | 6 (15%) | 29 (70.7%)/ 1 (3.44%) |
| Liu et al. 2020 [ | China/Hubei province Retrospective study from December 30, 2019 to January 24, 2020 | 137 M = 61 (44.5%) F = 76 (55.5%) | 57 (20–83) | NA | 2 (1.5%) | NA | NA | 16 (11.7%) | NA |
| Mo et al. 2020 [ | China/Wuhan retrospective study from January 1st to February 5th | 155 M = 86 (55.5%) F = 69 (45.5%) | 54 (42–66) | 6 (3.9%) | 5 (3.2%) | NA | NA | NA | 85 (54.8%)/ 4 (3.7%) |
| Wang et al. 2020 [ | China/Wuhan Retrospective, single-center case series from January 1 to January 28, 2020 | 138 M = 75 (54.3%) F = 63 (45.7%) | 56 (42–68) ICU (n = 36) = 66 (57–78) Non-ICU (n = 102) = 51 (37–62) | NA | 4 (2.9%) | NA | NA | 6 (4.3%) | 3 (8.3%) |
| Wu et al. 2020 [ | China/Wuhan Retrospective study from December 25, 2019, and January 26, 2020 | 201 M = 128 (63.7%) F = 73 (36.3%) | 51 (43–60) | NA | 5 (2.5%) | NA | NA | 44 (21.9%) | NA |
| Wu J et al. 2020 [ | China/ outside of the Wuhan area) Prospective study from January to February 2020 | 80 M = 42 (52%) F = 38 (48%) | 44 (11) | 26 (33%) | 3 (4%) | NA | NA | NA | NA |
| Xu X et al. 2020 [ | China/Guangzhou retrospective study from January 23, 2020, and February 4, 2020 | 90 M = 39 (43%) F = 51 (57%) | 50 (18–86) | NA | 1 (1%) | NA | NA | NA | NA |
| Xu XW et al. 2020 [ | China/Zhejiang province Retrospective study from 10 January 2020 to 26 January 2020 | 62 M = 35 (56%) F = 27 (44%) | 41 (32–52) | NA | 1 (2%) | NA | NA | 0 | 45 (72.5%)/ 1 (3%) |
| Yang et al. 2020 [ | China/Wuhan Retrospective study from late December, 2019, and Jan 26, 2020. | 52 M = 35 (67%) F = 17 (33%) | 59.7 (13.3) | 2 (4%) Survived = 2 (10%) | 4 (8%) | 2 (10%) | 2 (6%) | 32 (61.5%)/2 (50%) | NA |
| Zhang et al. 2020 [ | China/Wuhan Retrospective study from January 16 to February 3, 2020 | 140 M = 71 (50.7%) F = 69 (49.3%) | 57 (25–87) | 2 (1.4%) Severe cases = 2 (3.4) | 2 (1.4) | NA | NA | NA | 58 (41.4%)/ 2 (3.4%) |
| Zhou et al. 2020 [ | China/Wuhan retrospective cohort study from Dec 29, 2019 to Jan 31, 2020 | 191 M = 119 (62%) F = 72 (38%) | 56 (46·–67) | 11 (6%) Non-survivor = 5 (9%) Survivor = 6 (4%) | 6 (3%) | 2 (1%) | 4 (7%) | 54 (28.3%)/4 (66.7%) | NA |
| Zhu et al. 2020 [ | China/ Anhui province Retrospective study from 24 January 2020 and 20 February 2020 | 32 M = 15 (47%) F = 17 (53%) | 46(35–52) | 6 (18.7%) | 2 (6%) | NA | NA | NA | NA |
Fig 2Pooled prevalence of COPD with confirmed COVID-19, (ES: Effect size).
Fig 3Pooled prevalence of current smokers with confirmed COVID-19, (ES: Effect size).