From: Prognosis of COVID-19 in respiratory allergy: a systematic review and meta-analysis
S/N | Study authors | Study site and country | Study aim/ objective | Study design | Race /Ethnicity | Participants of the study (sample size, age (years)—Male Gender No-- BMI, kg/m2) | Number and type of allergic respiratory patients (Reported allergen) | Phenotype of asthma (Asthma Control test - FEV1%/FVC%) | Other Comorbidities | Vaccination history (influenza, pneumococcal vaccines) | Smoking status | Implication of findings |
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1. | Aghdam et al 2020 [18] | Ayatollah Moussavi Hospital, Zanjan, Iran. | To report a case of a child with asthma with an initialdiagnosis of COVID-19 pneumonia whose clinical courserevealed an underlying condition. | Case report | Iranian | 7 years old boy. | 1 (Allergic asthma) | Not reported | None | Not reported | Not applicable | In patients with COVID-19 and allergic asthma, other underlying hidden causes must be investigatedThis is because foreign body aspirationcontributed to the initial poor response to the treatment of this patient. |
2. | Barsoum 2020 [19] | South West Acute Hospital, Ireland | To provide evidence to suggest that young people with asthma are at increased risk for COVID-19 infection | Case report | Not reported | 12-year-old girl | Not reported | Not applicable | Asthma | Not reported | Not applicable | Oral corticosteroids used to management of asthma prolonged the duration of COVID-19 clearance. Thus, the investigation infers that asthma is a risk factor that can worsen prognosis in individuals infected with COVID-19 irrespective of age and should be further investigated through research. |
3. | Renner et al. 2020 [20] | Helsinki University Hospital, Helsinki, Finland. | To report data on COVID-19 patients with severe asthma who are treated with monoclonal antibodies. | Case report | Finnish | 41 years old male | 1 (100%) asthmatic patients | Not reported | Not reported | Not reported | Not reported | Asthma is not associated with the severity of COVID-19. |
4. | Schleicher et al. 2020 [21] | Wits Donald Gordon Medical Centre, Johannesburg, South Africa. | To describe the COVID-19 with other respiratory diseases. | Case report | African | 53 years old man | 1 (100%) asthmatic patients | Not reported | Pneumonia and Cytokine Release Syndrome. | Not reported | Not reported | This case study of severe Covid-19 with asthma, pneumonia, and Cytokine Release Syndrome showed some of the diagnostic and therapeutic challenges and controversies regarding the management of this novel and complex infection. |
5. | Turbin et al. 2020 [22] | Rutgers New Jersey Medical School, Newark, New Jersey, USA. | To report a COVID-19 patient with other comorbidities | Case report | American. | 12 and 15 years. | 1 (50%) asthmatic patients | Not reported | Orbital cellulitis, sinusitis, and intracranialabnormalities | Not reported | Not reported | The COVID-19 may associate with other bacterial diseases. |
6. | Vasconez et al. 2020 [23] | Miller School of Medicine, Miami, United States | To report COVID-19 with other comorbidities | Case report | American. | A 16 years old female. | 1 (100%) asthmatic patients | Not reported | Severe diabetic ketoacidosis | Not reported | Not reported | Clinical suspicion of COVID should be heightened in children who present with unexplainedly severe diabetic ketoacidosis. |
7. | Barroso et al 2020 [24] | Madrid, Spain | To report the prevalence of asthma and T2 diseases on a sample of hospitalized patients with COVID-19. | Case series | Not reported | Mean, or median age is not specified for all cases. But it was reported that the majority of the cases were females. No estimates were provided. | Of the 189 cases, 14 (7.4%) AR6 (3.2%) allergic asthma | Not reported | Most reported was diabetes, obesity, hypertension, hyperlipemia | Not reported | Quite a few were active smokers | There was no evidence in this case series that having allergic respiratory conditions with COVID-19 could predispose one to a risk of hospitalization or death. |
8. | Bhatraju et al. 2020 [25] | University of Washington–Harborview Medical Center, USA | To describe the demographic characteristics, coexisting conditions, imaging findings, and outcomes among critically ill patients with Covid-19 in the Seattle metropolitan area. | Case series | Not reported | Mean (±SD) ageof the 24 critically ill cases were 64±18 years (range, 23 to 97) and63% were men. | Not reported | Not reported | Out of the 24 cases, 14(58%) DM, 5 (21%) CRD, and 3 (14%) hadasthma, Of total cases, 8 (33%) had morethan one coexisting condition. | Not reported | A total of 24 cases, 5 (22%) were current or former smokers | There was no further specific information like clinical management and treatment outcomes for the three asthmatic cases identified. |
9. | Garg et al. 2020 [26] | Department of Health and Human Services regions, USA | Report an endemiological changes in COVID-19 new cases in the USA. | Case series (Retrospective) | Non-Hispanic white (white) (45.0%)non-Hispanic black (black) (33.1%)Hispanic (8.1%)Asian (5.5%)American Indian/Alaskan Native (0.3%)other or unknown race (7.9%) | Age (18-65 years) Males 49% Females 51% | 27 (17.0%) asthmatic patients | Allergic | HTN (49.7%) Obesity (48.3%) Chronic metabolic disease (36.1%) DMus (28.3%) Chronic lung disease (34.6%) | NR | NR | Among patients aged 18–49 years, obesity was the most prevalent underlying condition, followed by chronic lung disease (primarily asthma) and diabetes mellitus. |
10. | Guan et al 2020 [27] | Wuhan JinYinTan Hospital, China | To evaluate the risk of serious adverse outcomes in patients with COVID-19 by stratifying the comorbidity status. | Case series (Retrospective) | NR | Mean age 48.9 years Males 57.3% Females 42.7% | 0 | - | HTN (16.9%), CHD (3.7%) cerebrovascular diseases (1.9%) DM (8.2%) hepatitis B infections (1.8%) COPD (1.5%) CRD (1.3%) malignancy (1.1%) immunodeficiency (0.2%) | - | 7% | Patients with comorbidities show poor outcomes than patients without comorbidities. |
11. | Gold et al., 2020 [28] | Emory Decatur Hospital, Decatur, Georgia, USA | Report an endemiological change in COVID-19 new cases in Georgia, USA. | Case series | Black 81%Others 19% | Age (18-65 years) Males 49.5% Females 50.5% | 32 (10.5%) asthmatic patients | NR | DM (39.7%) CHD (25.6%) CAD (11.5%) Congestive heart failure (10.8%) Arrhythmia (5.9%) Chronic lung disease (20.3%) COPD (5.2%) Severe obesity (12.7%) Immunocompromising conditions or therapies (9.2%) End-stage renal disease, on dialysis (5.2%) Liver disease (2.3) | NR | 5.2% | Asthma associated with SARS-COV-2 may have a role in the severity of the disease. |
12. | Otto et al., 2020 [29] | The Children’s Hospital of Philadelphia (CHOP) Care Network, Burlington, North Carolina, and Secaucus, New Jersey, USA | Understanding the prevalence and clinical presentation of COVID-19 in pediatric patients can help healthcare providers and systems prepare and respond to this emerging pandemic. | Case series (Retrospective) | White (49.8%) Black or African-American (29.6%) Asian or Asian Indian (3.2%) Multi-racial (3.6%) Other Races (13.8%) Not Hispanic or Latino (87.8%) Hispanic or Latino (10.2%) Not specified (2.0%) | Mean age 5.9 years Males 54.3% Females 45.7% | 87 (20.5%) asthmatic patients | NR | NR | NR | NR | Most of the cases were mild, few children had the critical illness, and two patients died |
13. | Takemoto et al., 2020 [30] | Departments of Health epidemiological reports, Brazil | To report the mortality data from Brazilian and compare to worldwide. | Case series | NR | Age (20-43 years) Females 100% | 5 (25.0%) asthmatic patients | NR | Obesity Pyelonephritis CHD | NR | NR | There is one of the largest available series of maternal deaths due to COVID-19. |
14. | Richardson et al., 2020 [31] | New York City Area the USA | To describe the clinical characteristics and outcomes of patients with COVID-19Hospitalized in a US health care system. | Case series | African American 1230 (22.6) Asian 473 (8.7) White 2164 (39.8) Other/multiracial 1574 (28.9) | 5700 Female 2263 (39.7) Male 3437 (60.3). The median age of the total population 63 years | Asthma 479 (9%) BUT phenotype of asthma not reported | NR | Cancer 320 (6%) HTN 3026 (56.6%) CAD 595 (11.1) CHD 371 (6.9%) COPD 287 (5.4%) Obstructive sleep apnea 154 (2.9%) HIV 43 (0.8%) History of solid organ transplant 55 (1%) CRD 268 (5) End-staged 186 (3.5%) Liver disease Cirrhosis 19 (0.4%) Chronic HBV 8 (0.1%) HCV 3 (0.1%) Obesity (BMI ≥30) 1737 (41.7%) Morbid obesity (BMI ≥35) 791 (19.0%) DM 1808 (33.8%) | NR | Never smoker 3009 (84.4%) | This study provides characteristics and early outcomes of patients hospitalized with COVID-19 in New York. |
15. | Argenziano et al. 2020 [32] | New York-Presbyterian/Columbia University Irving Medical Center, a quaternary care academic medical center in New York City, USA | To characterize patients with coronavirus disease 2019 (covid-19) in a large New York City medical center and describe their clinical course across the emergency department, hospital wards, and intensive care units | Cohort study | Asian, White, Hispanics/Latino and Blacks or African American | Median age 63.0 years (IQR: 50.0-75.0). Of a total of 1000 study population, males are 596. Median BMI for all patients was 28.6 (IQR: 25.2-33.1) | Not specified However, what was reported was that there were 113 asthmatic patients. It was not reported if this asthma was an allergic asthma | Not reported | Mainly cardiovascular with HTN as most prevalent, followed by diabetes. In addition, some had cancer, cirrhosis, viral hepatitis, renal disease, and HIV | Not reported | About 181 are active smokers but not specified, which among these were the asthmatic. | Of the total 1000 study population, it would have been interesting to specifically profile and report those who had allergic respiratory conditions, their treatment, and outcomes |
16. | Docherty et al., 2020 [33] | England, Wales, andScotlandUK | To depict the clinical features of COVID-19 patients during the first wave in the United Kingdom. | A prospective observational cohort study | NR | The total study population was 20133, of which Male 60%, n =120;68 Female 40%, n = 8065. The median age of the total population was 73 years | Asthmatic patients were 2540 (14.5); Male 1192 (11.4) And Female 1348 (19.1). However, phenotype of asthma not reported | NR | Malignancy1743 (10.0%) CHD 5469 (30.9%) DM without complications 3650 (20.7%) DM with complications 1299 (7.4%) non-asthmatic CPD 3128 (17.7%) CRD 2830 (16.2%) Obesity1685 (10.5%) HIV 83 (0.5%) Moderate or severe liver disease 310 (1.8%) Mild liver disease 281 (1.6%) Chronic hematological disease 693 (4.0%) Rheumatological disorder 1696 (9.8%) Malnutrition 396 (2.4%) | NR | Never smoked 8968 (63.2) Former smoker 4364 (30.8) Yes 852 (6.0) | This study showed the importance of pandemic preparedness to reduce the mortality rate. |
17. | Du et al., 2020 [34] | Wuhan China | To investigate the clinical characteristics ofCOVID-19 children with different severities and allergic status. | Retrospective Cohort Study | NR | Total population182. Male 120 (65.9%), Female 62 (34.1%). The median age of the total population was 6 years. | Asthma + urticaria +drug allergy 1 (2.3%) AR 28 (65.1%) AR + drug allergy 5 (11.6%) AR + AD 1 (2.3%) AR + food allergy 1 (2.3%) AR + food allergy + drug allergy 1 (2.3%) Asthma + urticaria +drug allergy 1 (2.3%) AD 3 (7.0%) Penicillin 10 (23.3%) Mango 1 (2.3%) Egg 1 (2.3%) Dust mite 1 (2.3%) | Allergic | Medical history except allergic. Nonallergic patients 8 (18.6%) Nonallergic patients 24 (17.3%) | NR | NR | The clinical course in Pediatric has a mild clinical course; also, there was no difference in disease between allergic and nonallergic COVID-19 children. |
18. | Grandbastien et al. 2020 [35] | Chest Diseases Department of Strasbourg University Hospital, France | To assess the frequency of asthma exacerbation in patients with asthma hospitalized for SARS-CoV-2 pneumonia and compare symptoms and laboratory and radiological findings in patients with and without asthma with SARS-CoV-2 pneumonia. | Cohort study | NR | Mean age 63.5 years. Males 62.3% Females 37.7% | 23 (21%) asthmatic patients | Allergic | Obesity (39.6%) HTN (42.5%) DM (21.7%) CHD (5.7%) CRD (4.8%) Lung cancer (6.6%) Obstructive sleep apnea (13.2%) | NR | 33 (31.1) | The study result found that the patient with asthma has no risk for SARS-COV-2 severe symptoms; also, SARS-CoV-2 pneumonia did not induce severe asthma symptoms. |
19. | Ibrahim et al. 2020 [36] | The Royal Children’sHospital, Melbourne, Australia. | To presentearly data on Australian children. | Retrospective cohort study | NR | Mean age 13.1yearsMales 25%Females 75% | 1 (25%) asthmatic patient. | NR | NR | NR | NR | The prevalence of SARS-COV-2 was low in the children; also, asthma had a low prevalence. |
20. | Jacobs et al., 2020 [37] | USA | To review early clinical experience with the use of extracorporeal membrane oxygenation in patients with confirmed COVID-19 and pulmonary disease. | Cohort study | NR | Total population 32. Male 22 (68.8%), Female 10 (31.2%). The median age of the total population was 52 years | There was only 3 (9.4%) asthmatic patient but phenotype NOT reported | NR | Cancer 3 (9.4%) DM11 (34.4%) CHD4 (12.5%) Obesity Yes 14 (43.8) | NR | NR | Extracorporeal membrane oxygenation needs more studies to confirm using in COVID-19. |
21. | Kim et al., 2020 [38] | Korea | To investigate the clinical course and outcomes of COVID-19 from early cases in Korea. | Retrospective multicenter Cohort Study | NR | Total population 28. Male 15 (53.6%), Female 13 (46.4%). Median age of total population was 40 years | There was only 1 (3.6%) asthmatic patient but phenotype NOT reported | NR | Cancer 1 (3.6%) HTN 0 Dyslipidaemia 0 DM without complication 2 (7.1%) CHD 0 CRD 0COPD 0 Liver disease, mild 1 (3.6%) HIV 0 | NR | 5 (18.5%) | The asthmatic patient showed bilateral CT only, was isolated without oxygen requirement, and received lopinavir/ritonavir antiviral therapy |
22. | Li et al., 2020 [39] | China | To evaluate the severity on admission, complications, treatment, and outcomes of patients with COVID-19. | Retrospective cohort study | NR | The total study population was 548 Mean age 60 years, 279 of 548 (50.9%) were males, mean BMI was 24.7 (kg/m2) | 5 of 548 (0.9%) patients had asthma Phenotype NOT reported | NR | Tuberculosis 9 of 548 (1.6%), diabetes 83 of 548 (15.1%), HTN 166 of 548 (30.3%), CAD 34 of 548 (6.2%), hepatitis B 5 of 548 (0.9%), CRD 10 of 547 (1.8%), and tumor 24 of 513 (4.7%) | NR | Never smokers 452 of 544 (83.1%), Former smokers 51 of 544 (9.4%), Current smokers 41 of 544 (7.5%) | Older patients with hypertension and high lactate dehydrogenase need early support to reduce the severity of the disease. |
23. | Mahdavinia et al., 2020 [40] | Rush University Medical Center. USA | To report the result of the role of asthma in the outcome of COVID-19 in a large cohort of COVID-19 positive patients. | Cohort | African American 59.7% Asian 8.7% White non-Latino 11.3% White Latino 5.1% | Age (18-65 years) Males 66.8% Females 33.2% | 241 (25.7%) asthmatic patients | NR | Obesity | NR | NR | Preexisting asthma is a risk for COVID-19 and predictor of intubation duration in COVID-19, especially in patients less than 65 years. |
24. | Singer et al., 2020 [41] | New York Hospital and Predictors of ICU Care, USA | To report the COVID-19 cases and outcomes. | Retrospectivecohort | White (42%) Black (7%) Asian (3%) Other (1%) Unknown (47%) Hispanic (37%) | Mean age 50 years Males 54% Females 46% | 106 (6%) asthmatic patients | NR | HTN (28%) DM (15%) CAD (7%) COPD (4%) CHF (3%) Cancer (4%) Immunosuppressed (4%) CKD (5%) | - | 6% | 9% of COVID-19 patient need immediate ICU, and 13% need mechanical ventilation within 2 to 3 days. |
25. | Borba et al., 2020 [42] | Care facility in Manaus, Brazilian Amazon, Brazil | To evaluate the safety and efficacy of 2 CQ dosages in patients with severe COVID-19. | RCT | White (21%) Mixed (71.6%) Black (7.4%) Pregnant (10%) | Mean age 51.1yearsMales 75.3%Females 24.7% | 4 (7.4%) asthmatic patients | Not reported | HTN (45.5) DM (25.5) Alcohol use disorder (27.5) HD (9.1) CRD (7.4) Rheumatic diseases (5.5) Liver diseases (3.6) Tuberculosis (3.6) | Not reported | 4 (8.3%) | This study suggested that the higher chloroquine diphosphate is not recommended in COVID-19 patients. |
26. | Chao et al., 2020 [43] | Tertiary Care Medical Center in New York City. | To describe the clinical profiles and risk factors for COVID-19 patients. | Cohort study | White 1 (3) Black 3 (9.1) Latino 26 (78.8) Other 3 (9.1) | Mean age of 9.4 years Males 69.6% Females 30.4% | 11 (23.65%) asthmatic patients | Not reported | Obesity (27.3%) Immunosuppressed 1 (3) Seizure disorder 1 (3) | Not reported | Not reported | pediatric with complications as diabetes need early admission in the intensive care unit. |
27. | Chhiba et al., 2020 [44] | University Feinberg School of Medicine, Chicago. | To determine theprevalence of asthma among patients with COVID-19 | Retrospective cohort | Non-Hispanic African American 358 (23.5) Non-Hispanic white 643 (42.1) Hispanic or Latino 324 (21.2) Non-Hispanic Asian 70 (4.6) Other 201 (13.2) | Mean age 55 years Males 47% Females 53% | 220 (14.4%) asthmatic patients | Not reported | Not reported | Not reported | 53 (3.5) | This study found that asthma prevalence was 14% in a cohort ofpatients with COVID-19. |
28. | Desir et al., 2020 [45] | The New York-Presbyterian hospital network. | The study objective was to determine whether underlying asthma was associated with poor outcomes among COVID-19 patients. | Retrospective cohort | Black 238 (21) White 218 (19) Asian 14 (1) Other 384 (34) | Mean age 51.5 years Males 98% Females 2% | 163 (12.55%) asthmatic patients | Not reported | Obese 445 (39) Other 593 (52) | Not reported | 55 (3%) | Asthma diagnosis was not associatedwith worse outcomes in COVID-19 patients. |
29. | Salacup et al., 2020 [46] | Einstein Healthcare Network is an inner-city urban community hospital in Northern Philadelphia | To describe the demographics and clinical factors of COVID‐19 patients of a minority population in an underserved area. | Retrospective cohort | Not reported | Mean age 66 years Males 49% Females 51% | 18 (7%) asthmatic patients | Not reported | COPD 30 (12) CHD 35 (15) Atrial fibrillation 24 (10) Liver cirrhosis 8 (3) DM 118 (49) CRD 42 (17) CAD 45 (19) HTN 180 (74) Obesity 97 (40) | Not reported | Not reported | The mortality rate significantly increased with old age. |
30. | Schultze et al., 2020 [47] | London, UK. | To assess the association between inhaled corticosteroids and COVID-19-related death among people with COPD or asthma. | Cohort study | White (75%) Mixed (0.2%) Asian or Asian (0.6%) Black (0.2%) Other (0.3%) Unknown (23.7%) | Mean age 31 years Males 55% Females 45% | Not reported | Not reported | Not reported | Not reported | 17 268 (39·9%) | This study results do not support the role of inhaled corticosteroids in protecting asthmatic patients against COVID-19. |
31. | Yang et al., 2020 [13] | South Korea | To determine the association of allergicdisorders with the likelihood of COVID-19. | A nationwide cohort study | Not reported | Mean age 49 years Males 47.4% Females 52.6% | 725 (9.8%) asthmatic patients. 4210 (57.3) allergic rhinitis. | Not reported | Not reported | Not reported | Not reported | Asthma and allergic rhinitis confer risk for COVID-19. |
32. | Zhang et al., 2020 [48] | Hospital of Wuhan, China. | To investigate the clinical characteristic and allergy status of COVID-19 patients | Cohort study | Not reported | Mean age 57yearsMales 50.7%Females 49.3% | 0 | Not reported | HTN 42 (30.0) DM 17 (12.1) Arrhythmia 5 (3.6) Urolithiasis 3 (2.1) Stroke 3 (2.1)CRD 2 (1.4) Aorta sclerosis 2 (1.4) COPD 2 (1.4) | Not reported | 2 (1.4%) | Allergic diseases, asthma, and COPD are not risk factors for COVID-19. |