Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Effect of asthma, COPD, and ACO on COVID-19: A systematic review and meta-analysis

  • Yuka Uruma,

    Roles Data curation, Formal analysis, Investigation, Writing – original draft

    Affiliation Nagoya City University Medical School, Aichi, Japan

  • Toshie Manabe ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Supervision, Writing – review & editing

    crmanabe@med.nagoya-cu.ac.jp

    Affiliations Nagoya City University Graduate School of Medical Sciences, Aichi, Japan, Nagoya City University West Medical Center, Aichi, Japan

  • Yuji Fujikura,

    Roles Investigation, Writing – review & editing

    Affiliations Division of Infectious Diseases and Respiratory Medicine, Department of Internal Medicine, National Defense Medical College, Saitama, Japan, Department of Medical Risk Management and Infection Control, National Defense Medical College Hospital, Tokorozawa, Japan

  • Motoyasu Iikura,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan

  • Masayuki Hojo,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan

  • Koichiro Kudo

    Roles Investigation, Writing – review & editing

    Affiliations Yurin Hospital, Tokyo, Japan, Waseda University, Institute for Asia Human Community, Tokyo, Japan

Abstract

Introduction

The prevalence of asthma, chronic obstructive pulmonary disease (COPD), and asthma-COPD overlap (ACO) in patients with COVID-19 varies, as well as their risks of mortality. The present study aimed to assess the prevalence of asthma, COPD, and ACO as comorbidities, and to determine their risks of mortality in patients with COVID-19 using a systematic review and meta-analysis.

Methods

We systematically reviewed clinical studies that reported the comorbidities of asthma, COPD, and ACO in patients with COVID-19. We searched various databases including PubMed (from inception to 27 September 2021) for eligible studies written in English. A meta-analysis was performed using the random-effect model for measuring the prevalence of asthma, COPD, and ACO as comorbidities, and the mortality risk of asthma, COPD, and ACO in patients with COVID-19 was estimated. A stratified analysis was conducted according to country.

Results

One hundred one studies were eligible, and 1,229,434 patients with COVID-19 were identified. Among them, the estimated prevalence of asthma, COPD, and ACO using a meta-analysis was 10.04% (95% confidence interval [CI], 8.79–11.30), 8.18% (95% CI, 7.01–9.35), and 3.70% (95% CI, 2.40–5.00), respectively. The odds ratio for mortality of pre-existing asthma in COVID-19 patients was 0.89 (95% CI, 0.55–1.4; p = 0.630), while that in pre-existing COPD in COVID-19 patients was 3.79 (95% CI, 2.74–5.24; p<0.001). France showed the highest prevalence of asthma followed by the UK, while that of COPD was highest in the Netherlands followed by India.

Conclusion

Pre-existing asthma and COPD are associated with the incidence of COVID-19. Having COPD significantly increases the risk of mortality in patients with COVID-19. These differences appear to be influenced by the difference of locations of disease pathophysiology and by the daily diagnosis and treatment policy of each country.

Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first detected in Wuhan, China [1], and it is the causative agent of the coronavirus disease 2019 (COVID-19) pandemic [2]. As many as 50% of patients have reported having at least one comorbidity with COVID-19 [3]. Among them, the highest prevalent comorbidity was hypertension (21.1%), followed by diabetes (9.7%), cardiovascular disease (8.4%), and respiratory system disease (1.5%) [3]. However, the prevalence of asthma, as a comorbidity of patients with COVID-19, has been reported to vary from 1.10% [4] to 36.3% [5]. Additionally, the prevalence of chronic obstructive pulmonary disease (COPD) in COVID-19 ranges from 0.70% [6] to 70.60% [7] and that of asthma-COPD overlap (ACO) ranges from 0.40% [8] to 29.40% [7]. Previous reports have indicated that the global prevalence of asthma in adults is estimated to be 4.3% [9], that of COPD is estimated to be 12.16% [10], and that of ACO ranges from 0.9% to 11.1% [11]. While some studies have reported that asthma, COPD, and ACO are related to an increase in the mortality rate of COVID-19 [12, 13], some studies have reported that they may not be risk factors or may not increase the mortality of COVID-19 [1417]. However, studies on detailed examinations of the prevalence and risk of mortality of asthma, COPD, and ACO in patients with COVID-19 are still lacking.

Therefore, this study aimed to systematically review and integrate the data from studies with various results on the prevalence of asthma, COPD, and ACO in patients with COVID-19. We also aimed to determine the mortality risks of asthma, COPD, and ACO in patients with COVID-19.

Methods

This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement and the statement by the Meta-analysis of Observational Studies in Epidemiology (MOOSE) group [1820].

Search strategy

Two investigators (Y.U. and T.M.) independently searched for eligible studies in PubMed, the Cochrane Library, and MedRxiv from inception to 27 September 2021. We used the following key words: “asthma” OR “asthmatic” OR “COPD” OR “Chronic Obstructive Lung” OR “Chronic Obstructive Pulmonary Disease” OR “chronic bronchitis” OR “pulmonary emphysema” OR “pulmonary disease” OR “Chronic Obstructive” OR “Chronic Obstructive Airway Disease” OR “COAD” OR “Chronic Obstructive Lung Disease” OR “Chronic Airflow Obstruction” OR “Obstructive Lung Disease” OR “Obstructive pulmonary Disease” OR “Lung Disease” OR “ACO” OR “asthma-COPD overlap” OR “Asthma-chronic obstructive pulmonary disease overlap syndrome” OR “Asthma and chronic obstructive pulmonary disease overlap syndrome” OR “asthma-COPD overlap syndrome” OR “asthma-COPD” OR “ACOS” OR “mixed asthma-COPD phenotype” OR “Asthma combined with COPD” OR “coexistence of asthma and COPD” OR “coexistence of asthma and COPD” OR “COPD with asthmatic features” OR “overlap of asthma-COPD” AND “COVID-19” OR “novel coronavirus” OR “new coronavirus” OR “emerging coronavirus” OR “2019-nCoV” OR “SARS-CoV-2” OR “COVID” OR “coronavirus” OR “nCov” OR “coronavirus disease 2019” OR “coronavirus 2019”. We also reviewed the reference lists of eligible studies using Google Scholar and performed a manual search to ensure that all appropriate studies were included.

Eligibility criteria and outcome measures

Studies fulfilling the following selection criteria were included in the meta-analysis: (1) randomized, clinical trials, observational studies, and case series involving >20 patients written in English; and (2) patients with positive laboratory-confirmed SARS-CoV-2 infection who had asthma, COPD, or ACO as comorbidities. The exclusion criteria were as follows: (1) systematic reviews, (2) reviews, (3) animal experimental reports, (4) ≤20 patients in case series, (5) insufficient or incomplete data, (6) unpublished articles, and (7) pediatrics reports.

Data extraction

Two reviewers (Y.U. and T.M.) extracted the data independently. Articles that were retrieved in the search were stored in a citation manager. After removing redundant articles, titles, and abstracts, full-text articles were then investigated. We extracted the following data: study design, observational period, study site, and inclusion/exclusion criteria of each study. Outcome variables were extracted into predesigned data collection forms. We verified the accuracy of the data by comparing the collection of each investigator, and any discrepancies were resolved through discussion.

Level of evidence

The level of evidence was determined using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework, which classifies the level of evidence for each outcome on the basis of the risk of bias, imprecision, inconsistency, indirectness, and publication bias [21]. The authors classified the evidence level for each eligible study in accordance with the revised grading system for recommendation in the evidence-based guideline [22] (S1 Table).

Data analysis.

In the meta-analysis, we estimated the odds ratios (ORs) or the proportions of patients for primary outcome variables with 95% confidence intervals (CIs) using the random-effects model (generic inverse variance method). To assess the proportions of the outcome variables in patients with COVID-19, the standard error was calculated using the Agresti-Coull method [23]. Heterogeneity among the original studies was evaluated using the I2 statistic [24]. Publication bias was examined using a funnel plot. For all analyses, significant levels were two-tailed, and p<0.01 was considered significant. All statistical tests were performed using Review Manager (RevMan) ver. 5.4.1 (Cochrane Collaboration, Copenhagen, Denmark) [25].

Ethics approval and consent to participate.

The institutional review board and patient consent were not required because of the review nature of this study.

Results

Study selection and characteristics

Of the 2005 references screened, 101 studies reported the outcome variables (Fig 1).

thumbnail
Fig 1. PRISMA flow diagram.

N indicates the number of articles.

https://doi.org/10.1371/journal.pone.0276774.g001

We analyzed 64 studies on asthma, 71 on COPD, and 7 on ACO. Thirty-three studies were duplicated for asthma and COPD, two for asthma and ACO, and four for asthma, COPD, and ACO. Table 1 shows the characteristics of the included studies.

In the 101 included studies, we identified 1,229,434 patients with COVID-19, and 32,301, 10,827, and 818 had asthma, COPD, and ACO, respectively, as the comorbidities. Among the studies, there were 34 reports from USA, 14 from China, 10 from Italy, 8 from Spain, 6 from the UK, 5 from Turkey, 4 from Mexico, 3 from Korea, 2 from the Netherlands, 2 from Iran, and 1 each from Israel, Nigeria, Russia, Norway, and Columbia. The study designs were 52 retrospective studies, 7 prospective studies, 1 population-based statistics, 2 matched cohort studies, 4 longitudinal cohort studies, 2 local institutional reviews, 1 randomized, controlled trial, 2 nation cohort studies, 1 descriptive study, 3 case–control studies, 2 cross-sectional studies, and 24 with an unknown design. The total number of male patients was 616,380 and that of female patients was 737,188. Among the studies, the severity of patients with COVID varied from asymptomatic to a critical condition.

Frequency of asthma, COPD, and ACO in patients with COVID-19

The overall prevalence of asthma, COPD, and ACO was estimated, and their forest plots are shown in Figs 24, respectively.

thumbnail
Fig 2. Forest plots of the prevalence of asthma in patients with COVID-19.

https://doi.org/10.1371/journal.pone.0276774.g002

thumbnail
Fig 3. Forest plots of the prevalence of COPD in patients with COVID-19.

https://doi.org/10.1371/journal.pone.0276774.g003

thumbnail
Fig 4. Forest plots of the prevalence of ACO in patients with COVID-19.

https://doi.org/10.1371/journal.pone.0276774.g004

Among the eligible patients with COVID-19, the prevalence of asthma, COPD, and ACO was 10.04% (95% CI, 8.79–11.30) for asthma (Fig 2), 8.18% (95% CI, 7.01–9.35) for COPD (Fig 3), and 3.70% (95% CI, 2.40–5.00) for ACO (Fig 4). In the stratified analysis, the frequencies of asthma in different countries are shown in Table 2, and their forest plots are shown in S1 Fig.

thumbnail
Table 2. Estimated frequencies of asthma, COPD, and ACO in patients with COVID-19 according to countries.

https://doi.org/10.1371/journal.pone.0276774.t002

With regard to the frequency of asthma, France showed a rate of 13.50% (95% CI, 9.08–17.92), which was the highest, followed by 13.45% in the UK (95% CI, 11.23–15.66). The frequency of COPD in patients with COVID-19 was the highest in the Netherlands at 17.00% (95% CI, 12.96–21.04), followed by India at 11.34% (95% CI, 3.24–19.44). The frequency of ACO on the USA and the UK was 4.24% (95% CI, 2.74–5.73) and 1.20% (95% CI, 0.61–1.79), respectively. The forest plots of these data are shown in supplementary figures (S1 Fig).

Prevalence of death in patients with COVID-19 and asthma or COPD

Forest plots of the prevalence of death in patients with COVID-19 and asthma or COPD are shown in Fig 5A and 5B.

thumbnail
Fig 5.

Forest plots of the prevalence of death a) in patients with asthma and COVID-19 and b) in patients with COPD and COVID-19.

https://doi.org/10.1371/journal.pone.0276774.g005

Among 4,980 patients with asthma and COVID-19, the prevalence of death was 10.17% (95% CI, 7.38–12.97) (Fig 5A). Among 10,525 patients with COPD and COVID-19, the prevalence of death was 40.60% (95% CI, 32.02–49.17) (Fig 5B).

Risk of mortality due to COVID-19 in patients with asthma or COPD

The risk to mortality due to COVID-19 in patients with asthma or COPD was estimated and it is shown in forest plots in Fig 6.

thumbnail
Fig 6.

Forest plots of the risk of mortality in patients with COVID-19 and a) asthma or b) COPD.

https://doi.org/10.1371/journal.pone.0276774.g006

The risk of mortality in pre-existing asthma in COVID-19 patients was not significant (OR, 0.89; 95% CI, 0.55–1.43; p = 0.630) (Fig 6A). However, the risk of mortality in pre-existing COPD in COVID-19 patients was significant (OR, 3.79; 95% CI, 2.74–5.24; p<0.001) (Fig 6B).

Discussion

The present systematic review and meta-analysis on 101 studies showed that pre-existing asthma and COPD affected the incidence of COVID-19, and asthma had a greater effect than COPD. However, pre-existing asthma did not have a significant effect on mortality in patients with COVID-19, while patients with COPD had a 3.8-fold increased risk of mortality among COVID-19 cases. Among patients with COVID-19, the highest prevalence of asthma was observed in France followed by the UK, while the highest prevalence of COPD was observed in the Netherlands followed by India. The various prevalence of these disease in each county indicates the importance of daily clinical control of asthma, COPD, and ACO for preventing and reducing the severity of COVID-19.

The COVID-19 pandemic has disproportionately affected people with chronic diseases, such as asthma and COPD, which are the most common respiratory diseases. Generally, viral infection to the respiratory tract is thought to be one of the triggers for the exacerbation of pre-existing diseases [110]. Respiratory viral infection that is initiated in the upper respiratory tract and innate immunity are critical for the initial control of infection at this site [122]. If the innate immune response is inadequate, the infection can spread to the lower respiratory tract, causing pneumonia [123]. Before the COVID-19 pandemic, the reported global prevalence of adult asthma and COPD was 3.5% [9] and 12.16% [10], respectively. However, in patients with COVID-19 in the present study, which assessed studies published after COVID-19 emerged, the prevalence of pre-existing asthma was 10.04% and that of COPD was 8.18%. The prevalence of asthma after COVID-19 emerged was higher than that before the pandemic. These results indicated that asthma affected the incidence of COVID-19. The increased susceptibility of viral infection in the bronchial airway might be caused by pathophysiological impairment in both of these diseases. Especially in asthma, the main involved sites of the bronchial airway are the upper and lower bronchi [124]. In case of COVID-19, more than 80% of patients have mild illness [123], and the locations where mild COVID-19 is involved are similar to those in patients with asthma. Consequently, the number of patients with asthma may have increased as the number and proportion of mild COVID-19 cases increased. This possibility may also explain why the prevalence of pre-existing asthma was higher than that of COPD. In fact, the Omicron variant was associated with a large number of mild COVID-19 cases [125]. Additionally, a previous meta-analysis, which used only data before the Omicron variant emerged, reported that the prevalence of asthma was similar to that before the COVID-19 pandemic [126]. This result is different from that in the present study, which assessed COVID-19 cases that included infected patients with the Omicron variant. However, a study including hospitalized COVID-19 cases with a history of asthma indicated that none of these patients presented with asthma exacerbation [127]. Owing to the nature of the meta-analysis, we could not evaluate asthma exacerbation after admission among the patients in this study.

The present study showed that pre-existing COPD in patients had a 3.8-fold higher risk of mortality than in those who did not have COPD. The risk of mortality for pre-existing COPD was stronger than that for pre-existing asthma. Unlike asthma, of which the main involved sites are the upper and lower bronchi, the main impaired lesion of COPD extends from the peripheral small airway to alveolar tissues with architectural damage, which can cause the severe illness. These locations of lesions are compatible with those in COVID-19 when the disease severity is moderate to severe. Indeed, patients with COPD have a high risk of mortality in other respiratory infectious diseases, such as influenza [128] and community-acquired pneumonia [129]. A previous study showed that the long-term use of inhaled corticosteroids for controlling asthma is likely to have a beneficial modulatory effect on COVID-19 [130]. This finding suggests that this efficacy is achieved by reducing epithelial damage and improving the T-cell response. Several studies reported a large number of patients who were receiving either inhaled steroids or systemic steroids at the time of COVID-19 diagnosis [55, 127, 131, 132]. However, the effect of inhaled corticosteroids at the early stage of COVID-19 is controversial [133]. The benefit of systemic corticosteroids for patients with asthma may outweigh the risk of severe outcomes in patients with COVID-19 [134]. Systemic corticosteroids are effective for treating bronchial wall inflammation and bronchial spasm. As the result, uncontrolled asthma is associated with increased intensive care unit admission and intensive respiratory support [135], whereas well-controlled asthma does not have an increased risk of COVID-19-related death [136]. The present study showed that the prevalence of pre-existing asthma in COVID-19 cases varied according to the countries. This finding may be partly due to the fact that each country has different treatment policies and guidelines, as well as available medical resources. In addition, owing to the nature of the meta-analysis in which we did not use individual patient data, we were unable to examine the impact on COVID-19 diagnosis according to age, sex, and stage at which therapy was started. These differences may also influence the severity of COVID-19 in different countries. These factors may be also related to the heterogeneity in the results of the meta-analysis in the present study. A large-sample study showed that the contribution of inhaled corticosteroids for patients with COPD to COVID-19-related death was lower than that for patients with asthma [137]. Additionally, the association with mortality was confounded by the presence of other risk factors for severe COVID-19, such as an older age, cardiovascular disease, hypertension, and diabetes mellitus [123], which are common in people with COPD.

ACO has clinical characteristics derived from asthma and COPD. The risk of mortality from ACO in patients with COVID-19 might be significant and as high as that for COPD. However, in the present study, the prevalence of pre-existing ACO was lower than that of asthma and COPD. Our results regarding ACO cannot be properly assessed because of the number of eligible studies, and the countries that reported pre-existing ACO were only from the USA, UK, and China among the eligible studies. These issues might be due to the short history of the concept of ACO and a lack of global recognition. However, even with the small number of eligible studies, the prevalence of ACO was highest in studies from the USA. Additionally, a study in the USA before the COVID-19 pandemic reported that the prevalence of ACO was 1.05% (0.74%–1.37%) [138], while that in the present study was 4.24%. One of the reasons for this discrepancy between studies may be related to the high smoking rate (14%) in the USA [139141]. This discrepancy suggests the necessity of considering other cofounding factors for assessing the risk of ACO, such as the rate of smokers and obesity.

Our study has some limitations, including mainly those inherent to the nature of systematic reviews and meta-analyses using observational studies and case series. The eligible studies were limited to articles written in English. The treatment guidelines and available medical resources for COVID-19, and the examined comorbidities may be different according to the different countries, and these could have affected the risk of infection and mortality of COVID-19. The eligible studies were selected from published papers during 1 year and 9 months from the beginning of the COVID-19 pandemic. We were not able to evaluate the change in the risk of COVID-19 caused by the change in SARS-CoV-2 variants and the vaccination availability during this observational period.

Despite these limitations, the present systematic review and meta-analysis of 101 studies suggests the importance of daily clinical management for patients with asthma, COPD, or ACO. Additionally, this study suggests that attention should be paid to the prevention of COVID-19 infection and disease progression, as well as to patients with other high-risk diseases of COVID-19.

Conclusion

The present systematic review and meta-analysis using 101 studies shows that pre-existing asthma and COPD are associated with the incidence of COVID-19. Asthma has a stronger influence on the incidence of COVID-19 than COPD. The presence of COPD as a comorbidity in patients with COVID-19 has a 3.8 times higher risk of mortality, while asthma has no significant effect on COVID-19 related death. These differences appear to be affected by the difference in locations of disease pathophysiology, and by the daily diagnosis and treatment policy of each country.

Supporting information

S1 Table. Classification standard of the evidence level.

https://doi.org/10.1371/journal.pone.0276774.s002

(DOCX)

S1 Fig. Forrest plots for prevalence of asthma among patients with COVID-19.

https://doi.org/10.1371/journal.pone.0276774.s003

(PDF)

S2 Fig. Forrest plots for prevalence of COPD among patients with COVID-19.

https://doi.org/10.1371/journal.pone.0276774.s004

(PDF)

S3 Fig. Forrest plots for prevalence of ACO among patients with COVID-19.

https://doi.org/10.1371/journal.pone.0276774.s005

(PDF)

Acknowledgments

We thank Ellen Knapp, for editing a draft of this manuscript.

References

  1. 1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497–506. pmid:31986264
  2. 2. World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19 January 2022 Available at https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—12-january-2022 (Access January 30, 2022)
  3. 3. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020 Mar 28;395(10229):1054–1062. pmid:32171076
  4. 4. Bello-Chavolla OY, González-Díaz A, Antonio-Villa NE, Fermín-Martínez CA, Márquez-Salinas A, Vargas-Vázquez A, et al. Unequal Impact of Structural Health Determinants and Comorbidity on COVID-19 Severity and Lethality in Older Mexican Adults: Considerations Beyond Chronological Aging. J Gerontol A Biol Sci Med Sci. 2021 Feb 25;76(3):e52–e59. pmid:32598450
  5. 5. Liao SY, Petrache I, Fingerlin TE, Maier LA. Association of inhaled and systemic corticosteroid use with Coronavirus Disease 2019 (COVID-19) test positivity in patients with chronic pulmonary diseases. Respir Med. 2021 Jan;176:106275. pmid:33276252
  6. 6. Chandel A, Patolia S, Brown AW, Collins AC, Sahjwani D, Khangoora V, et al. High-Flow Nasal Cannula Therapy in COVID-19: Using the ROX Index to Predict Success. Respir Care. 2021 Jun;66(6):909–919. pmid:33328179
  7. 7. Sen P, Majumdar U, Zein J, Hatipoğlu U, Attaway AH. Inhaled corticosteroids do not adversely impact outcomes in COVID-19 positive patients with COPD: An analysis of Cleveland Clinic’s COVID-19 registry. PloS One. 2021 Jun 3;16(6):e0252576. pmid:34081722
  8. 8. Ferastraoaru D, Hudes G, Jerschow E, Jariwala S, Karagic M, de Vos G, et al. Eosinophilia in Asthma Patients Is Protective Against Severe COVID-19 Illness. J Allergy Clin Immunol Pract. 2021 Mar;9(3):1152–1162.e3. pmid:33495097
  9. 9. Mattiuzzi C, Lippi G. Worldwide asthma epidemiology: insights from the Global Health Data Exchange database. Int Forum Allergy Rhinol. 2020;10(1):75–80. pmid:31645084
  10. 10. Varmaghani M, Dehghani M, Heidari E, Sharifi F, Moghaddam SS, Farzadfar F. Global prevalence of chronic obstructive pulmonary disease: systematic review and meta-analysis. East Mediterr Health J. 2019 Mar 19;25(1):47–57. pmid:30919925
  11. 11. Leung C, Sin DD. Asthma-COPD Overlap: What Are the Important Questions? Chest. 2021 Oct 6:S0012-3692(21)04078–2. pmid:34626594
  12. 12. Rothe T, Spagnolo P, Bridevaux PO, Clarenbach C, Eich-Wanger C, Meyer F, et al. Diagnosis and Management of Asthma–The Swiss Guidelines. Respiration. 2018;95(5):364–380. pmid:29614508
  13. 13. Vogelmeier CF, Román-Rodríguez M, Singh D, Han MK, Rodríguez-Roisin R, Ferguson GT. Goals of COPD treatment: Focus on symptoms and exacerbations. Respir Med. 2020 May;166:105938. pmid:32250871
  14. 14. Yanagisawa S, Ichinose M. Definition and diagnosis of asthma-COPD overlap (ACO). Allergol Int. 2018 Apr;67(2):172–178. pmid:29433946
  15. 15. Gao YD, Ding M, Dong X, Zhang JJ, Kursat Azkur A, Azkur D, et al. Risk factors for severe and critically ill COVID-19 patients: A review. Allergy. 2021 Feb;76(2):428–455. pmid:33185910
  16. 16. Wang Y, Chen J, Chen W, Liu L, Dong M, Ji J, et al. Does Asthma Increase the Mortality of Patients with COVID-19?: A Systematic Review and Meta-Analysis. Int Arch Allergy Immunol. 2021;182(1):76–82. pmid:32961539
  17. 17. Guan WJ, Liang WH, Shi Y, Gan LX, Wang HB, He JX, et al. Chronic Respiratory Diseases and the Outcomes of COVID-19: A Nationwide Retrospective Cohort Study of 39,420 Cases. J Allergy Clin Immunol Pract. 2021 Jul;9(7):2645–2655.e14. pmid:33684635
  18. 18. Liberati A., Altman D.G., Tetzlaff J., Mulrow C., Gøtzsche P.C., Ioannidis J.P. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339 b2700. pmid:19622552
  19. 19. Stroup D.F., Berlin J.A., Morton S.C., Olkin I., Williamson G.D., Rennie D. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) group. J Am Med Assoc. 2000;283:2008–2012. pmid:10789670
  20. 20. Lee SW., Koo MJ. PRISMA 2020 statement and guidelines for systematic review and meta-analysis articles, and their underlying mathematics: Life Cycle Committee Recommendations. Life Cycle. 2022;2:e9.
  21. 21. Balshem H, Helfand M, Schünemann HJ, Andrew Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. Clin Epidemiol. 2011;64(4):401–6. pmid:21208779
  22. 22. Harbour R, Miller J. A new system for grading recommendations in evidence based guidelines. BMJ. 2001 Aug 11;323(7308):334–6. pmid:11498496
  23. 23. Agresti A, Coull BA. Approximate is better than “exact” for interval estimation of binomial proportions. Am Stat. 1998;52:119–26.
  24. 24. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60. pmid:12958120
  25. 25. Review Manager (RevMan) [Computer program] Version 5.4.1 Copenhagen: The Nordic Cochrane Center, The Cochrane Collaboration, 2014
  26. 26. Zhang JJ, Dong X, Cao YY, Yuan YD, Yang YB, Yan YQ, et al. Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China. Allergy. 2020 Jul;75(7):1730–1741. pmid:32077115
  27. 27. Wang L, He W, Yu X, Hu D, Bao M, Liu H, et al. Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up. J Infect. 2020 Jun;80(6):639–645. pmid:32240670
  28. 28. Bhatraju PK, Ghassemieh BJ, Nichols M, Kim R, Jerome KR, Nalla AK, et al. Covid-19 in Critically Ill Patients in the Seattle Region—Case Series. N Engl J Med. 2020 May 21;382(21):2012–2022. pmid:32227758
  29. 29. Turan O, Arpınar Yigitbas B, Turan PA, Mirici A. Clinical characteristics and outcomes of hospitalized COVID-19 patients with COPD. Expert Rev Respir Med. 2021 Aug;15(8):1069–1076. pmid:33944643
  30. 30. Barrasa H, Rello J, Tejada S, Martín A, Balziskueta G, Vinuesa C, et al; Alava COVID-19 Study Investigators. SARS-CoV-2 in Spanish Intensive Care Units: Early experience with 15-day survival in Vitoria. Anaesth Crit Care Pain Med. 2020 Oct;39(5):553–561. pmid:32278670
  31. 31. Mahdavinia M, Foster KJ, Jauregui E, Moore D, Adnan D, Andy-Nweye AB, et al. Asthma prolongs intubation in COVID-19. J Allergy Clin Immunol Pract. 2020 Jul-Aug;8(7):2388–2391. pmid:32417445
  32. 32. Li P, Chen L, Liu Z, Pan J, Zhou D, Wang H, et al. Clinical features and short-term outcomes of elderly patients with COVID-19. Int J Infect Dis. 2020 Aug;97:245–250. pmid:32492533
  33. 33. Lian J, Jin X, Hao S, Cai H, Zhang S, Zheng L, et al. Analysis of Epidemiological and Clinical Features in Older Patients With Coronavirus Disease 2019 (COVID-19) Outside Wuhan. Clin Infect Dis. 2020 Jul 28;71(15):740–747. pmid:32211844
  34. 34. Iaccarino G, Grassi G, Borghi C, Ferri C, Salvetti M, Volpe M; SARS-RAS Investigators. Age and Multimorbidity Predict Death Among COVID-19 Patients: Results of the SARS-RAS Study of the Italian Society of Hypertension. Hypertension. 2020 Aug;76(2):366–372. pmid:32564693
  35. 35. Toussie D, Voutsinas N, Finkelstein M, Cedillo MA, Manna S, Maron SZ, et al. Clinical and Chest Radiography Features Determine Patient Outcomes in Young and Middle-aged Adults with COVID-19. Radiology. 2020 Oct;297(1):E197–E206. pmid:32407255
  36. 36. Argenziano MG, Bruce SL, Slater CL, Tiao JR, Baldwin MR, Barr RG, et al. Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. BMJ. 2020 May 29;369:m1996. pmid:32471884
  37. 37. Cummings MJ, Baldwin MR, Abrams D, Jacobson SD, Meyer BJ, Balough EM, et al. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. Lancet. 2020 Jun 6;395(10239):1763–1770. pmid:32442528
  38. 38. Zhu Z, Hasegawa K, Ma B, Fujiogi M, Camargo CA Jr, Liang L. Association of asthma and its genetic predisposition with the risk of severe COVID-19. J Allergy Clin Immunol. 2020 Aug;146(2):327–329.e4. pmid:32522462
  39. 39. Grandbastien M, Piotin A, Godet J, Abessolo-Amougou I, Ederlé C, Enache I, et al. SARS-CoV-2 Pneumonia in Hospitalized Asthmatic Patients Did Not Induce Severe Exacerbation. J Allergy Clin Immunol Pract. 2020 Sep;8(8):2600–2607. pmid:32603901
  40. 40. Yao Y, Chen W, Wu X, Shen L, Shen L, Fu Y, et al. Clinical characteristics of COVID-19 patients in three consecutive generations of spread in Zhejiang, China. Clin Microbiol Infect. 2020 Oct;26(10):1380–1385. pmid:32593742
  41. 41. Lieberman-Cribbin W, Rapp J, Alpert N, Tuminello S, Taioli E. The Impact of Asthma on Mortality in Patients With COVID-19. Chest. 2020 Dec;158(6):2290–2291. pmid:32522556
  42. 42. Wang J, Zhu X, Xu Z, Yang G, Mao G, Jia Y, et al. Clinical and CT findings of COVID-19: differences among three age groups. BMC Infect Dis. 2020 Jun 22;20(1):434. pmid:32571228
  43. 43. Aggarwal A, Shrivastava A, Kumar A, Ali A. Clinical and Epidemiological Features of SARS-CoV-2 Patients in SARI Ward of a Tertiary Care Centre in New Delhi. J Assoc Physicians India. 2020 Jul;68(7):19–26. pmid:32602676
  44. 44. Caminati M, Lombardi C, Micheletto C, Roca E, Bigni B, Furci F, et al. Asthmatic patients in COVID-19 outbreak: Few cases despite many cases. J Allergy Clin Immunol. 2020 Sep;146(3):541–542. pmid:32620309
  45. 45. Bravi F, Flacco ME, Carradori T, Volta CA, Cosenza G, De Togni A, et al. Predictors of severe or lethal COVID-19, including Angiotensin Converting Enzyme inhibitors and Angiotensin II Receptor Blockers, in a sample of infected Italian citizens. PLoS One. 2020 Jun 24;15(6):e0235248. pmid:32579597
  46. 46. Song J, Zeng M, Wang H, Qin C, Hou HY, Sun ZY, et al. Distinct effects of asthma and COPD comorbidity on disease expression and outcome in patients with COVID-19. Allergy. 2021 Feb;76(2):483–496. pmid:32716553
  47. 47. Wang L, Foer D, Bates DW, Boyce JA, Zhou L. Risk factors for hospitalization, intensive care, and mortality among patients with asthma and COVID-19. J Allergy Clin Immunol. 2020 Oct;146(4):808–812. pmid:32735807
  48. 48. Canevelli M, Palmieri L, Raparelli V, Punzo O, Donfrancesco C, Lo Noce C, et al; Italian National Institute of Health COVID-19 Mortality Group. COVID-19 mortality among migrants living in Italy. Ann Ist Super Sanita. 2020 Jul-Sep;56(3):373–377. pmid:32959804
  49. 49. De Vito A, Geremia N, Fiore V, Princic E, Babudieri S, Madeddu G. Clinical features, laboratory findings and predictors of death in hospitalized patients with COVID-19 in Sardinia, Italy. Eur Rev Med Pharmacol Sci. 2020 Jul;24(14):7861–7868. pmid:32744714
  50. 50. Atkins JL, Masoli JAH, Delgado J, Pilling LC, Kuo CL, Kuchel GA, et al. Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort. J Gerontol A Biol Sci Med Sci. 2020 Oct 15;75(11):2224–2230. pmid:32687551
  51. 51. Zhao Z, Chen A, Hou W, Graham JM, Li H, Richman PS, et al. Prediction model and risk scores of ICU admission and mortality in COVID-19. PLoS One. 2020 Jul 30;15(7):e0236618. pmid:32730358
  52. 52. Pérez-Sastré MA, Valdés J, Ortiz-Hernández L. Clinical characteristics and severity of COVID-19 among Mexican adults. Gac Med Mex. 2020;156(5):373–381. English. pmid:33372930
  53. 53. Güner R, Hasanoğlu İ, Kayaaslan B, Aypak A, Kaya Kalem A, Eser F, et al. COVID-19 experience of the major pandemic response center in the capital: results of the pandemic’s first month in Turkey. Turk J Med Sci. 2020 Dec 17;50(8):1801–1809. pmid:32682358
  54. 54. Somani SS, Richter F, Fuster V, De Freitas JK, Naik N, Sigel K, et al. Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization for COVID-19. J Gen Intern Med. 2020 Oct;35(10):2838–2844. pmid:32815060
  55. 55. Yang JM, Koh HY, Moon SY, Yoo IK, Ha EK, You S, et al. Allergic disorders and susceptibility to and severity of COVID-19: A nationwide cohort study. J Allergy Clin Immunol. 2020 Oct;146(4):790–798. pmid:32810517
  56. 56. Corsini Campioli C, Cano Cevallos E, Assi M, Patel R, Binnicker MJ, O’Horo JC. Clinical predictors and timing of cessation of viral RNA shedding in patients with COVID-19. J Clin Virol. 2020 Sep;130:104577. pmid:32777762
  57. 57. He Y, Xie M, Zhao J, Liu X. Clinical Characteristics and Outcomes of Patients with Severe COVID-19 and Chronic Obstructive Pulmonary Disease (COPD). Med Sci Monit. 2020 Sep 4;26:e927212. pmid:32883943
  58. 58. Mushtaq J, Pennella R, Lavalle S, Colarieti A, Steidler S, Martinenghi CMA, et al. Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients. Eur Radiol. 2021 Mar;31(3):1770–1779. pmid:32945968
  59. 59. Goel N, Spalgais S, Mrigpuri P, Khanna M, Menon B, Kumar R. Characteristics of COVID-19 at a non-COVID tertiary pulmonary care centre in Delhi, India. Monaldi Arch Chest Dis. 2020 Nov 9;90(4). pmid:33169599
  60. 60. Brendish NJ, Poole S, Naidu VV, Mansbridge CT, Norton N, Borca F, et al. Clinical characteristics, symptoms and outcomes of 1054 adults presenting to hospital with suspected COVID-19: A comparison of patients with and without SARS-CoV-2 infection. J Infect. 2020 Dec;81(6):937–943. pmid:32998038
  61. 61. Ioannou GN, Locke E, Green P, Berry K, O’Hare AM, Shah JA, et al. Risk Factors for Hospitalization, Mechanical Ventilation, or Death Among 10131 US Veterans With SARS-CoV-2 Infection. JAMA Netw Open. 2020 Sep 1;3(9):e2022310. pmid:32965502
  62. 62. Xiong Q, Xu M, Li J, Liu Y, Zhang J, Xu Y, et al. Clinical sequelae of COVID-19 survivors in Wuhan, China: a single-centre longitudinal study. Clin Microbiol Infect. 2021 Jan;27(1):89–95. pmid:32979574
  63. 63. Seaton RA, Gibbons CL, Cooper L, Malcolm W, McKinney R, Dundas S, et al. Survey of antibiotic and antifungal prescribing in patients with suspected and confirmed COVID-19 in Scottish hospitals. J Infect. 2020 Dec;81(6):952–960. pmid:32987097
  64. 64. Abrams MP, Wan EY, Waase MP, Morrow JP, Dizon JM, Yarmohammadi H, et al., Clinical and cardiac characteristics of COVID-19 mortalities in a diverse New York City Cohort. J Cardiovasc Electrophysiol. 2020;31(12):3086–3096. pmid:33022765
  65. 65. Akpinar G, Demir MC, Sultanoglu H, Sonmez FT, Karaman K, Keskin BH, et al. The Demographic Analysis of the Probable COVID-19 Cases in Terms of RT-PCR Results and Age. Clin. Lab. 2021 Sep 67:1058–1064 pmid:33865252
  66. 66. Schiavone M, Gasperetti A, Mancone M, Curnis A, Mascioli G, Mitacchione G, et al. Oral anticoagulation and clinical outcomes in COVID-19: An Italian multicenter experience. Int J Cardiol. 2021 Jan 15;323:276–280. pmid:32911000
  67. 67. Calmes D, Graff S, Maes N, Frix AN, Thys M, Bonhomme O, et al. Asthma and COPD Are Not Risk Factors for ICU Stay and Death in Case of SARS-CoV2 Infection. J Allergy Clin Immunol Pract. 2021 Jan;9(1):160–169. pmid:33038592
  68. 68. Rial MJ, Valverde M, Del Pozo V, González-Barcala FJ, Martínez-Rivera C, Muñoz X, et al. Clinical characteristics in 545 patients with severe asthma on biological treatment during the COVID-19 outbreak. J Allergy Clin Immunol Pract. 2021 Jan;9(1):487–489.e1. pmid:33045398
  69. 69. Robinson LB, Fu X, Bassett IV, Triant VA, Foulkes AS, Zhang Y, et al. COVID-19 severity in hospitalized patients with asthma: A matched cohort study. J Allergy Clin Immunol Pract. 2021 Jan;9(1):497–500. pmid:33164794
  70. 70. Cates J, Lucero-Obusan C, Dahl RM, Schirmer P, Garg S, Oda G, et al. Risk for In-Hospital Complications Associated with COVID-19 and Influenza—Veterans Health Administration, United States, October 1, 2018-May 31, 2020. MMWR Morb Mortal Wkly Rep. 2020 Oct 23;69(42):1528–1534. pmid:33090987
  71. 71. Tekcan Şanlı DE, Yıldırım D. A new imaging sign in COVID-19 pneumonia: vascular changes and their correlation with clinical severity of the disease. Diagn Interv Radiol. 2021 Mar;27(2):172–180. pmid:33044171
  72. 72. Hussein MH, Toraih EA, Attia AS, Burley N, Zhang AD, Roos J, et al. Asthma in COVID-19 patients: An extra chain fitting around the neck? Respir Med. 2020 Dec;175:106205. pmid:33217538
  73. 73. Tabarsi P, Barati S, Jamaati H, Haseli S, Marjani M, Moniri A, et al. Evaluating the effects of Intravenous Immunoglobulin (IVIg) on the management of severe COVID-19 cases: A randomized controlled trial. Int Immunopharmacol. 2021 Jan;90:107205. pmid:33214093
  74. 74. Lee SC, Son KJ, Han CH, Jung JY, Park SC. Impact of comorbid asthma on severity of coronavirus disease (COVID-19). Sci Rep. 2020 Dec 11;10(1):21805. pmid:33311519
  75. 75. Jiang Y, Abudurexiti S, An MM, Cao D, Wei J, Gong P. Risk factors associated with 28-day all-cause mortality in older severe COVID-19 patients in Wuhan, China: a retrospective observational study. Sci Rep. 2020 Dec 22;10(1):22369. pmid:33353956
  76. 76. Xiao J, Li X, Xie Y, Huang Z, Ding Y, Zhao S, et al. Maximum chest CT score is associated with progression to severe illness in patients with COVID-19: a retrospective study from Wuhan, China. BMC Infect Dis. 2020 Dec 11;20(1):953. pmid:33308183
  77. 77. Signes-Costa J, Núñez-Gil IJ, Soriano JB, Arroyo-Espliguero R, Eid CM, Romero R, et al; HOPE COVID-19 investigators. Prevalence and 30-Day Mortality in Hospitalized Patients With Covid-19 and Prior Lung Diseases. Arch Bronconeumol. 2021 Apr;57:13–20. pmid:34629634
  78. 78. Bello-Chavolla OY, Antonio-Villa NE, Ortiz-Brizuela E, Vargas-Vázquez A, González-Lara MF, de Leon AP, et al. Validation and repurposing of the MSL-COVID-19 score for prediction of severe COVID-19 using simple clinical predictors in a triage setting: The Nutri-CoV score. PLoS One. 2020 Dec 16;15(12):e0244051. pmid:33326502
  79. 79. Lokken EM, Walker CL, Delaney S, Kachikis A, Kretzer NM, Erickson A, et al. Clinical characteristics of 46 pregnant women with a severe acute respiratory syndrome coronavirus 2 infection in Washington State. Am J Obstet Gynecol. 2020 Dec;223(6):911.e1–911.e14. pmid:32439389
  80. 80. Gómez Antúnez M, Muiño Míguez A, Bendala Estrada AD, Maestro de la Calle G, Monge Monge D, Boixeda R, et al; SEMI-COVID-19 Network. Clinical Characteristics and Prognosis of COPD Patients Hospitalized with SARS-CoV-2. Int J Chron Obstruct Pulmon Dis. 2021 Jan 5;15:3433–3445. pmid:33447021
  81. 81. Monterrubio-Flores E, Ramírez-Villalobos MD, Espinosa-Montero J, Hernandez B, Barquera S, Villalobos-Daniel VE, et al. Characterizing a two-pronged epidemic in Mexico of non-communicable diseases and SARS-Cov-2: factors associated with increased case-fatality rates. Int J Epidemiol. 2021 May 17;50(2):430–445. pmid:33585901
  82. 82. Mortaz E, Bassir A, Dalil Roofchayee N, Dezfuli NK, Jamaati H, Tabarsi P, et al. Serum cytokine levels of COVID-19 patients after 7 days of treatment with Favipiravir or Kaletra. Int Immunopharmacol. 2021 Apr;93:107407. pmid:33631512
  83. 83. Değerli E, Derin S, Oruç K, Şengül Samancı N, Bedir Ş, Çelik E, et al. The demographic characteristics, prognosis, and relationship with cancer subtypes of hospitalized COVID-19 patients with malignancy: A single-center experience. J Med Virol. 2021 Oct;93(10):5839–5845. pmid:34081337
  84. 84. Laake JH, Buanes EA, Småstuen MC, Kvåle R, Olsen BF, Rustøen T, et al. Characteristics, management and survival of ICU patients with coronavirus disease-19 in Norway, March-June 2020. A prospective observational study. Acta Anaesthesiol Scand. 2021 May;65(5):618–628. pmid:33501998
  85. 85. Lee SC, Son KJ, Han CH, Park SC, Jung JY. Impact of COPD on COVID-19 prognosis: A nationwide population-based study in South Korea. Sci Rep. 2021 Feb 12;11(1):3735. pmid:33580190
  86. 86. Jungo S, Moreau N, Mazevet ME, Ejeil AL, Biosse Duplan M, Salmon B, et al. Prevalence and risk indicators of first-wave COVID-19 among oral health-care workers: A French epidemiological survey. PLoS One. 2021 Feb 11;16(2):e0246586. pmid:33571264
  87. 87. Cao L, Lee S, Krings JG, Rauseo AM, Reynolds D, Presti R, et al. Asthma in patients with suspected and diagnosed coronavirus disease 2019. Ann Allergy Asthma Immunol. 2021 May;126(5):535–541.e2. pmid:33639262
  88. 88. Fong WCG, Borca F, Phan H, Moyses HE, Dennison P, Kurukulaaratchy RJ, et al. Asthma did not increase in-hospital COVID-19-related mortality in a tertiary UK hospital. Clin Exp Allergy. 2021 Jul;51(7):939–941. pmid:33626216
  89. 89. Jongbloed M, Leijte WT, Linssen CFM, van den Hoogen BG, van Gorp ECM, de Kruif MD. Clinical impact of human metapneumovirus infections before and during the COVID-19 pandemic. Infect Dis (Lond). 2021 Jul;53(7):488–497. pmid:33612055
  90. 90. Artero A, Madrazo M, Fernández-Garcés M, Muiño Miguez A, González García A, Crestelo Vieitez A, et al; SEMI-COVID-19 Network. Severity Scores in COVID-19 Pneumonia: a Multicenter, Retrospective, Cohort Study. J Gen Intern Med. 2021 May;36(5):1338–1345. pmid:33575909
  91. 91. Ho KS, Howell D, Rogers L, Narasimhan B, Verma H, Steiger D. The relationship between asthma, eosinophilia, and outcomes in coronavirus disease 2019 infection. Ann Allergy Asthma Immunol. 2021 Jul;127(1):42–48. pmid:33647451
  92. 92. Yoshida Y, Gillet SA, Brown MI, Zu Y, Wilson SM, Ahmed SJ, et al. Clinical characteristics and outcomes in women and men hospitalized for coronavirus disease 2019 in New Orleans. Biol Sex Differ. 2021 Feb 5;12(1):20. pmid:33546750
  93. 93. Nanda S, Toussaint L, Vincent A, Fischer KM, Hurt R, Schroeder DR, et al. A Midwest COVID-19 Cohort for the Evaluation of Multimorbidity and Adverse Outcomes from COVID-19. J Prim Care Community Health. 2021 Jan-Dec;12:21501327211010991. pmid:33855875
  94. 94. De Vito A, Fiore V, Princic E, Geremia N, Panu Napodano CM, Muredda AA, et al. Predictors of infection, symptoms development, and mortality in people with SARS-CoV-2 living in retirement nursing homes. PLoS One. 2021 Mar 16;16(3):e0248009. pmid:33724987
  95. 95. Rodriguez C, de Prost N, Fourati S, Lamoureux C, Gricourt G, N’debi M, et al. Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19. PLoS Pathog. 2021 Mar 29;17(3):e1009416. pmid:33780519
  96. 96. Garibaldi BT, Wang K, Robinson ML, Zeger SL, Bandeen-Roche K, Wang MC, et al. Comparison of Time to Clinical Improvement With vs Without Remdesivir Treatment in Hospitalized Patients With COVID-19. JAMA Netw Open. 2021 Mar 1;4(3):e213071. pmid:33760094
  97. 97. Giovannetti G, De Michele L, De Ceglie M, Pierucci P, Mirabile A, Vita M, et al. Lung ultrasonography for long-term follow-up of COVID-19 survivors compared to chest CT scan. Respir Med. 2021 May;181:106384. pmid:33839587
  98. 98. Khan MS, Dogra R, Miriyala LKV, Salman FNU, Ishtiaq R, Patti DK, et al. Clinical characteristics and outcomes of patients with Corona Virus Disease 2019 (COVID-19) at Mercy Health Hospitals, Toledo, Ohio. PLoS One. 2021 Apr 22;16(4):e0250400. pmid:33886663
  99. 99. Tsai S, Nguyen H, Ebrahimi R, Barbosa MR, Ramanan B, Heitjan DF, et al. COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans. Sci Rep. 2021 Apr 19;11(1):8497. pmid:33875764
  100. 100. Lobelo F, Bienvenida A, Leung S, Mbanya A, Leslie E, Koplan K, et al. Clinical, behavioural and social factors associated with racial disparities in COVID-19 patients from an integrated healthcare system in Georgia: a retrospective cohort study. BMJ Open. 2021 May 19;11(5):e044052. pmid:34011589
  101. 101. Chatterjee A, Wu G, Primakov S, Oberije C, Woodruff H, Kubben P, et al. Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study. PLoS One. 2021 Apr 15;16(4):e0249920. pmid:33857224
  102. 102. Yordanov Y, Dinh A, Bleibtreu A, Mensch A, Lescure FX, Debuc E, et al; AP-HP/Universities/Inserm COVID-19 research collaboration. Clinical characteristics and factors associated with hospital admission or death in 43 103 adult outpatients with coronavirus disease 2019 managed with the Covidom telesurveillance solution: a prospective cohort study. Clin Microbiol Infect. 2021 Aug;27(8):1158–1166. pmid:33915287
  103. 103. Riou M, MarcoT C, Oulehri W, Enache I, Pistea C, Chatron E, et al. Respiratory follow-up after hospitalization for COVID-19: Who and when? Eur J Clin Invest. 2021 Aug;51(8):e13603. pmid:33998683
  104. 104. Wei W, Sivapalasingam S, Mellis S, Geba GP, Jalbert JJ. A Retrospective Study of COVID-19-Related Urgent Medical Visits and Hospitalizations After Outpatient COVID-19 Diagnosis in the US. Adv Ther. 2021 Jun;38(6):3185–3202. pmid:33961213
  105. 105. Hou X, Tian L, Zhou L, Jia X, Kong L, Xue Y, et al. Intravenous immunoglobulin-based adjuvant therapy for severe COVID-19: a single-center retrospective cohort study. Virol J. 2021 May 21;18(1):101. pmid:34020680
  106. 106. Valverde-Monge M, Cañas JA, Barroso B, Betancor D, Ortega-Martin L, Gómez-López A, et al. Eosinophils and Chronic Respiratory Diseases in Hospitalized COVID-19 Patients. Front Immunol. 2021 Jun 2;12:668074. pmid:34149705
  107. 107. Cosio BG, Shafiek H, Toledo-Pons N, Iglesias A, Barcelo M, Represas-Represas C, et al. Characterization of COPD Admissions During the First COVID-19 Outbreak. Int J Chron Obstruct Pulmon Dis. 2021 Jun 3;16:1549–1554. pmid:34113088
  108. 108. Adir Y, Humbert M, Saliba W. COVID-19 risk and outcomes in adult asthmatic patients treated with biologics or systemic corticosteroids: Nationwide real-world evidence. J Allergy Clin Immunol. 2021 Aug;148(2):361–367.e13. pmid:34144110
  109. 109. Chaudhary S, Benzaquen S, Woo JG, Rubinstein J, Matta A, Albano J, et al. Clinical Characteristics, Respiratory Mechanics, and Outcomes in Critically Ill Individuals With COVID-19 Infection in an Underserved Urban Population. Respir Care. 2021 Jun;66(6):897–908. pmid:33446510
  110. 110. Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020 Aug;584(7821):430–436. pmid:32640463
  111. 111. Abayomi A, Osibogun A, Kanma-Okafor O, Idris J, Bowale A, Wright O, et al. Morbidity and mortality outcomes of COVID-19 patients with and without hypertension in Lagos, Nigeria: a retrospective cohort study. Glob Health Res Policy. 2021 Jul 29;6(1):26. Erratum in: Glob Health Res Policy. 2021 Aug 13;6(1):28. pmid:34325747
  112. 112. Liu YH, Wang YR, Wang QH, Chen Y, Chen X, Li Y, et al. Post-infection cognitive impairments in a cohort of elderly patients with COVID-19. Mol Neurodegener. 2021 Jul 19;16(1):48. pmid:34281568
  113. 113. Munblit D, Bobkova P, Spiridonova E, Shikhaleva A, Gamirova A, Blyuss O, et al. Incidence and risk factors for persistent symptoms in adults previously hospitalized for COVID-19. Clin Exp Allergy. 2021 Sep;51(9):1107–1120. pmid:34351016
  114. 114. Sandoval M, Nguyen DT, Vahidy FS, Graviss EA. Risk factors for severity of COVID-19 in hospital patients age 18–29 years. PLoS One. 2021 Jul 30;16(7):e0255544. pmid:34329347
  115. 115. Lokken EM, Huebner EM, Taylor GG, Hendrickson S, Vanderhoeven J, Kachikis A, et al; Washington State COVID-19 in Pregnancy Collaborative. Disease severity, pregnancy outcomes, and maternal deaths among pregnant patients with severe acute respiratory syndrome coronavirus 2 infection in Washington State. Am J Obstet Gynecol. 2021 Jul;225(1):77.e1–77.e14. pmid:33515516
  116. 116. Cataño-Correa JC, Cardona-Arias JA, Porras Mancilla JP, García MT. Bacterial superinfection in adults with COVID-19 hospitalized in two clinics in Medellín-Colombia, 2020. PLoS One. 2021 Jul 13;16(7):e0254671. pmid:34255801
  117. 117. Meza D, Khuder B, Bailey JI, Rosenberg SR, Kalhan R, Reyfman PA. Mortality from COVID-19 in Patients with COPD: A US Study in the N3C Data Enclave. Int J Chron Obstruct Pulmon Dis. 2021 Aug 13;16:2323–2326. pmid:34413640
  118. 118. Sun Y, Jiang N, Li Z, Li X, Yang B, Si D, et al. A Retrospective Study of 268 Patients with SARS-CoV-2 Infection to Evaluate the Association Between Blood Glucose and Severity of COVID-19 Pneumonia and Patient Mortality. Med Sci Monit. 2021 Aug 7;27:e932156. pmid:34362862
  119. 119. Fernández-Martínez NF, Ortiz-González-Serna R, Serrano-Ortiz Á, Rivera-Izquierdo M, Ruiz-Montero R, Pérez-Contreras M, et al. Sex Differences and Predictors of In-Hospital Mortality among Patients with COVID-19: Results from the ANCOHVID Multicentre Study. Int J Environ Res Public Health. 2021 Aug 26;18(17):9018. pmid:34501608
  120. 120. Cosma S, Carosso AR, Cusato J, Borella F, Carosso M, Gervasoni F, et al. Preterm birth is not associated with asymptomatic/mild SARS-CoV-2 infection per se: Pre-pregnancy state is what matters. PLoS One. 2021 Aug 5;16(8):e0254875. pmid:34351922
  121. 121. Chudasama YV, Zaccardi F, Gillies CL, Razieh C, Yates T, Kloecker DE, et al. Patterns of multimorbidity and risk of severe SARS-CoV-2 infection: an observational study in the U.K. BMC Infect Dis. 2021 Sep 4;21(1):908. pmid:34481456
  122. 122. Girkin JLN, Maltby S, Bartlett NW. Toll-like receptor-agonist-based therapies for respiratory viral diseases: thinking outside the cell. Eur Respir Rev. 2022 May 4;31(164):210274. pmid:35508333
  123. 123. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239–1242. pmid:32091533
  124. 124. Jackson DJ, Sykes A, Mallia P, Johnston SL. Asthma exacerbations: origin, effect, and prevention. J Allergy Clin Immunol. 2011 Dec;128(6):1165–74. pmid:22133317
  125. 125. Abdullah F, Myers J, Basu D, Tintinger G, Ueckermann V, Mathebula M, et al. Decreased severity of disease during the first global omicron variant covid-19 outbreak in a large hospital in tshwane, south africa. Int J Infect Dis. 2022 Mar;116:38–42. pmid:34971823
  126. 126. Han X, Xu J, Hou H, Yang H, Wang Y. Impact of asthma on COVID-19 mortality in the United States: Evidence based on a meta-analysis. Int Immunopharmacol. 2022 Jan;102:108390. pmid:34844871
  127. 127. Beurnier A, Jutant EM, Jevnikar M, Boucly A, Pichon J, Preda M, et al. Characteristics and outcomes of asthmatic patients with COVID-19 pneumonia who require hospitalisation. Eur Respir J. 2020 Nov 5;56(5):2001875. pmid:32732333; PMCID: PMC7397950.
  128. 128. Mulpuru S, Li L, Ye L, Hatchette T, Andrew MK, Ambrose A, et al; Serious Outcomes Surveillance (SOS) Network of the Canadian Immunization Research Network (CIRN). Effectiveness of Influenza Vaccination on Hospitalizations and Risk Factors for Severe Outcomes in Hospitalized Patients With COPD. Chest. 2019 Jan;155(1):69–78. pmid:30616737
  129. 129. Restrepo MI, Mortensen EM, Pugh JA, Anzueto A. COPD is associated with increased mortality in patients with community-acquired pneumonia. Eur Respir J. 2006 Aug;28(2):346–51. pmid:16611653
  130. 130. Baker JR, Mahdi M, Nicolau DV Jr, Ramakrishnan S, Barnes PJ, Simpson JL, et al. Early Th2 inflammation in the upper respiratory mucosa as a predictor of severe COVID-19 and modulation by early treatment with inhaled corticosteroids: a mechanistic analysis. Lancet Respir Med. 2022;10(6):545–556. pmid:35397798
  131. 131. Chhiba KD, Patel GB, Vu THT, Chen MM, Guo A, Kudlaty E, et al. Prevalence and characterization of asthma in hospitalized and nonhospitalized patients with COVID-19. J Allergy Clin Immunol. 2020 Aug;146(2):307–314.e4. Epub 2020 Jun 15. pmid:32554082; PMCID: PMC7295471.
  132. 132. Lombardi C, Roca E, Bigni B, Cottini M, Passalacqua G. Clinical course and outcomes of patients with asthma hospitalized for severe acute respiratory syndrome coronavirus 2 pneumonia: A single-center, retrospective study. Ann Allergy Asthma Immunol. 2020 Dec;125(6):707–709. Epub 2020 Aug 1. pmid:32745609; PMCID: PMC7395222.
  133. 133. Klimek L, Akdis CA, Jutel M, Zuberbier T, Bousquet J. Inhaled corticosteroids in early COVID-19-A tale of many facets. Allergy. 2021;76(11):3540–3542. pmid:34374091
  134. 134. Hasan SS, Capstick T, Zaidi STR, Kow CS, Merchant HA. Use of corticosteroids in asthma and COPD patients with or without COVID-19. Respir Med. 2020 Aug-Sep;170:106045. pmid:32843175
  135. 135. Huang BZ, Chen Z, Sidell MA, Eckel SP, Martinez MP, et al. Asthma Disease Status, COPD, and COVID-19 Severity in a Large Multiethnic Population. J Allergy Clin Immunol Pract. 2021 Oct;9(10):3621–3628.e2. pmid:34389242
  136. 136. Zaki N, Alashwal H, Ibrahim S. Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: A systematic review. Diabetes Metab Syndr. 2020 Sep-Oct;14(5):1133–1142. pmid:32663789
  137. 137. Schultze A, Walker AJ, MacKenna B, Morton CE, Bhaskaran K, Brown JP, et al.; OpenSAFELY Collaborative. Risk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform. Lancet Respir Med. 2020;8(11):1106–1120. pmid:32979987
  138. 138. Mendy A, Forno E, Niyonsenga T, Carnahan R, Gasana J. Prevalence and features of asthma-COPD overlap in the United States 2007–2012. Clin Respir J. 2018 Aug;12(8):2369–2377. pmid:29873189
  139. 139. WHO global report on trends in prevalence of tobacco smoking 2015 9789241564922_eng.pdf;sequence = 1 (who.int) (Accessed February 2, 2022)
  140. 140. Chandrupatla SG, Tavares M, Natto ZS. Tobacco Use and Effects of Professional Advice on Smoking Cessation among Youth in India. Asian Pac J Cancer Prev. 2017 Jul 27;18(7):1861–1867. pmid:28749122
  141. 141. Office for National Statistics. Smoking prevalence in the UK and the impact of data collection changes: 2020. Available at https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/drugusealcoholandsmoking/bulletins/smokingprevalenceintheukandtheimpactofdatacollectionchanges/2020#:~:text=In%20Quarter%201%202020%2C%2013.5,(around%204.9%20million%20people)(Accessed February 4, 2022).