Literature DB >> 33676051

Prevalence of asthma in hospitalized and non-hospitalized children with COVID-19.

G Chandler Floyd1, Jesse W Dudley2, Rui Xiao3, Chris Feudtner4, Kiara Taquechel5, Kristen Miller6, Sarah E Henrickson7, David A Hill7, Chén C Kenyon8.   

Abstract

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Year:  2021        PMID: 33676051      PMCID: PMC7927636          DOI: 10.1016/j.jaip.2021.02.038

Source DB:  PubMed          Journal:  J Allergy Clin Immunol Pract


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In our cohort of 979 children with polymerase chain reaction–confirmed coronavirus disease 2019 (COVID-19), 205 (21%) had asthma, a number consistent with previously published asthma prevalence estimates within our network. Asthma diagnosis was negatively associated with COVID-19–related hospitalization. Although initial reports of the novel coronavirus disease 2019 (COVID-19) showed limited and nonsevere manifestations in children, more recent reports have begun to describe more serious illness in children, including patient characteristics associated with hospitalization and death. , During the early stages of the pandemic, the US Centers for Disease Control and Prevention listed moderate-to-severe asthma as a potential risk factor for severe COVID-19, yet there is little data to support this assertion in children and published data in adults are conflicting.3, 4, 5 The largest cohort of pediatric COVID-19–positive patients in the United States included only descriptive statistics on underlying conditions and severity and did not delineate diagnosis-specific associations with hospitalization. To help address these gaps in knowledge, we completed a retrospective cohort study in a large pediatric cohort of patients with polymerase chain reaction (PCR)-confirmed COVID-19 to determine the association between current asthma and hospitalization. We extracted electronic health records (EHR), including demographics, clinical characteristics, and asthma medications, for all patients aged ≤21 years with a positive PCR test for SARS-CoV-2 at any Children's Hospital of Philadelphia setting (drive-through testing, outpatient, emergency department [ED], or inpatient) between March 17, 2020, and August 26, 2020. The presence of a current asthma diagnosis was determined using an existing EHR asthma registry definition, which required that they met either of the following criteria at the time of testing: (1) encounter diagnosis for asthma (International Classification of Disease, 10th Revision, code J45) within the past 1 year or an active problem list diagnosis for asthma and a prescription for an asthma-specific medication in the last year; or (2) an active persistent asthma diagnosis on the problem list. COVID-19 hospitalizations were defined as any hospitalization within 14 days of a first positive PCR for SARS-CoV-2. To account for potential confounding, multivariable logistic regression was used to calculate adjusted odds ratios (ORs) for COVID-19 hospitalization. Because all hospitalized patients were screened for COVID-19 on admission regardless of symptoms or exposure risk, unlike other care settings, we performed a secondary analysis including only hospitalizations determined to be COVID-19 related on chart review by board-certified pediatricians (KM, SEH, DAH, CCK) to investigate for differential confounding by testing indication. For patients with a current asthma diagnosis, we classified asthma severity based on asthma medications prescribed within the year before a first COVID-19–positive PCR, using tiers modeled from the Global Initiative for Asthma guidelines for asthma severity. The association between asthma controller prescriptions and COVID-19 hospitalization was examined using the Fisher exact test. From March 17, 2020, to August 26, 2020, 979 patients aged 0 to 21 years were tested positive for COVID-19 within our health system. Of these patients, 205 (21%) had an active asthma diagnosis at the time of testing. One hundred twenty-one patients (12%) were hospitalized with COVID-19, 11 of whom had a current asthma diagnosis (Table I ).
Table I

Demographic and clinical characteristics of patients with COVID-19 stratified by hospitalization status

Characteristic, n (%)Cohort
All patients (n = 979)Non-hospitalized (n = 858)Hospitalized (n = 121)
Age (y)
 0-4279 (28)232 (27)47 (39)
 5-11225 (23)194 (23)31 (26)
 12-17328 (34)291 (34)37 (31)
 18-21147 (15)141 (16)6 (5)
Sex
 Male504 (51)431 (50)73 (60)
Race
 Black421 (43)370 (43)51 (42)
 Non-black558 (57)488 (57)70 (58)
Ethnicity
 Hispanic or Latino145 (15)121 (14)24 (20)
Insurance payer status
 Medicaid477 (49)399 (47)78 (64)
 Private/unknown502 (51)459 (53)43 (36)
Obesity diagnosis101 (10)91 (11)10 (8)
Complex chronic conditions
 0615 (63)575 (67)40 (33)
 1175 (18)746 (17)29 (24)
 2+189 (19)137 (16)52 (43)
Asthma diagnosis205 (21)194 (23)11 (9)
 Asthma treatment
 SABA only117 (57)115 (59)2 (18)
 ICS or LM58 (28)52 (27)6 (55)
 ICS/LABA or ICS + LM28 (14)25 (13)3 (27)
 Biologic2 (1)2 (1)0 (0)
 Systemic corticosteroid65 (32)58 (30)7 (64)

COVID-19, Coronavirus disease 2019; ICS, inhaled corticosteroids; LABA, long-acting β-agonist; LM, leukotriene modifier; SABA, short-acting β-agonist.

Percentages represent the proportion of patients within the asthma cohort who were prescribed asthma medications in the year preceding the positive SARS CoV-2 test. Categories are mutually exclusive with the exception of systemic corticosteroid.

Demographic and clinical characteristics of patients with COVID-19 stratified by hospitalization status COVID-19, Coronavirus disease 2019; ICS, inhaled corticosteroids; LABA, long-acting β-agonist; LM, leukotriene modifier; SABA, short-acting β-agonist. Percentages represent the proportion of patients within the asthma cohort who were prescribed asthma medications in the year preceding the positive SARS CoV-2 test. Categories are mutually exclusive with the exception of systemic corticosteroid. In bivariate modeling, asthma was associated with a lower odds of COVID-19 hospitalization (OR: 0.34; 95% confidence interval [CI]: 0.16-0.65; P = .001). In the adjusted model (Table II ), asthma diagnosis remained associated with a lower odds of COVID-19 hospitalization compared with children without asthma (OR: 0.28; 95% CI: 0.14-0.55; P < .001).
Table II

Multivariable model results demonstrating the odds of hospitalization by model covariate in (1) main model (all hospitalizations occurring within 14 days of a positive PCR for COVID-19) and (2) sensitivity analysis (COVID-19–related hospitalizations determined by chart review)

CovariateMain multivariable model
Sensitivity analysis model
Odds ratio (95% CI)P valueOdds ratio (95% CI)P value
Asthma0.28 (0.14-0.55)<.0010.40 (0.19-0.84).02
Age
 0-41.65 (0.99-2.76).0531.86 (0.99-3.50).055
 5-111.47 (0.86-2.53).161.36 (0.68-2.71).39
 12+ (Reference)
Sex
 Male1.85 (1.21-2.82).0042.08 (1.22-3.52).007
Race
 Black1.07 (0.67-1.70).791.06 (0.60-1.89).83
Ethnicity
 Hispanic or Latino1.11 (0.61-2.01).730.98 (0.47-2.06).96
Payer
 Medicaid1.85 (1.17-2.93).0092.54 (1.40-4.62).002
Obesity diagnosis0.76 (0.36-1.63).490.66 (0.24-1.80).42
Complex chronic conditions
 0 (Reference)
 13.58 (2.10-6.12)<.0013.51 (1.79-6.90)<.001
 2+6.54 (4.04-10.59)<.0017.37 (4.05-13.41)<.001

CI, Confidence interval; COVID-19, coronavirus disease 2019; PCR, polymerase chain reaction.

Multivariable model results demonstrating the odds of hospitalization by model covariate in (1) main model (all hospitalizations occurring within 14 days of a positive PCR for COVID-19) and (2) sensitivity analysis (COVID-19–related hospitalizations determined by chart review) CI, Confidence interval; COVID-19, coronavirus disease 2019; PCR, polymerase chain reaction. The frequency of patients with an asthma controller medication prescription was higher in the subgroup of patients with COVID-19 hospitalizations compared with those who were not hospitalized (82% vs 41%, respectively, P = .01). Of note, only 2 children were prescribed a biologic for asthma, and neither of these children were hospitalized (Figure E1, available in this article's Online Repository at www.jaci-inpractice.org).
Figure E1

Number of (A) non-hospitalized and (B) hospitalized patients grouped by 4 different asthma medication severity categories. ICS, Inhaled corticosteroids; LABA, long-acting β-agonist; LM, leukotriene modifier; SABA, short-acting β-agonist.

In the sensitivity analysis, 74 of the 121 hospitalizations (61%) were determined to be COVID related. In the multivariable sensitivity analysis regression, the association between asthma and lower odds of hospitalization remained (OR: 0.40; 95% CI: 0.19-0.84; P = .02) (Table II). In this study, we report data on asthma prevalence and odds of hospitalization among a cohort of children who tested positive for COVID-19 from a large pediatric health system. Despite an asthma prevalence (21%) in COVID-positive children that is nearly identical to the asthma prevalence within the health system's primary care network, asthma was inversely associated with COVID-19 hospitalization, both in our main analysis and sensitivity analysis. Results from small cohorts of children with COVID-19 have demonstrated a relatively high prevalence of asthma in hospitalized children (16%-24%). However, in addition to smaller sample sizes, these studies either did not describe how they defined asthma or used a less specific definition, such as asthma diagnosis in the last 5 years, which might inflate the prevalence. In these studies, children with asthma did not have a higher risk of severe hospital outcomes, such as intensive care unit admission or death. , Our results add to these previous findings and suggest that asthma may actually be associated with lower hospitalization risk in children. There are several suggested mechanisms for a potential protective effect of asthma against severe COVID-19. First, concern for COVID-19 causing severe asthma exacerbations may have led to increased adherence to protective behaviors such as physical distancing, mask wearing, and asthma controller medication adherence, so children with asthma may have had a lower burden of COVID-19 symptoms when they presented. Second, early in the pandemic, inhaled steroids were hypothesized to protect against severe COVID-19 and thus lower the risk of hospitalization. This relationship, however, is still unclear, and the majority of children in our cohort were not on controller medications. Lastly, there is associative evidence that suggests that underlying allergic inflammation may protect against SARS-COV-2 infection or severe COVID-19 outcomes. There are several limitations to this analysis. First, given our retrospective study design, we were not able to determine causality. Second, for children who only presented to the ED or inpatient setting, we could not ascertain past asthma encounters to primary care outside of our network and thus asthma in hospitalized children could be undercounted. However, our manual chart review of all hospitalized children did not identify missed asthma diagnoses in the hospitalized cohort. Lastly, our results reflect the experience of a single pediatric health system. Larger, multicenter studies are needed to confirm the observed negative association between asthma diagnosis and COVID-related hospitalization, as well as elucidate how asthma severity may affect COVID-19 outcomes.
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