Croup and bronchiolitis are common reasons for hospitalization in children, and the role of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on utilization outcomes for these conditions is not well understood. To compare health care utilization including the rates of hospitalization, readmission, length of stay, and ICU admission for croup and bronchiolitis in children with and without evidence of concurrent SARS-CoV-2 infection over the pandemic period.
This retrospective cohort study used inpatient and outpatient electronic health record data from PEDSnet institutions to examine health services use for children aged 30 days to 14 years with SARS-CoV-2 infection and diagnosed with croup or bronchiolitis. The time frame (March 2020–May 2022) was divided into predelta, delta, and omicron variant periods. Multivariable mixed effects logistic and log gamma regression models were used to calculate adjusted odds ratios for factors linked to utilization outcomes for children with versus without SARS-CoV-2 infections. Disease burden was described by variant time period.
Across all time periods, among subjects with croup and bronchiolitis, 9.65% of croup patients and 3.92% of bronchiolitis patients were SARS-CoV-2–positive. The omicron variant period had the highest number of SARS-CoV-2 cases for both croup and bronchiolitis. After controlling for patient-level variables and hospital variability, we found no statistically significant differences in utilization outcomes comparing children with and without SARS-CoV-2.
Pediatric patients with croup and bronchiolitis and positive SARS-CoV-2 polymerase chain reaction testing did not exhibit a significant increase in hospital and ICU admissions, which may have implications for future staffing models and public health recommendations.
Croup and bronchiolitis represent common reasons for hospitalization in children. During the early phase of the pandemic, children were relatively spared from severe outcomes resulting in hospitalization from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, during the phase coinciding with the omicron variant predominant period, hospitalizations because of croup from SARS-CoV-2 increased.1–3 Studies have shown that the B1.1.529 omicron variant replicates more rapidly in upper airways than previous lineages, providing 1 proposed mechanism for an increased risk for croup.4 Similar increased rates have not been reported for bronchiolitis because of SARS-CoV-2, and there is currently sparse data regarding whether bronchiolitis due to SARS-CoV-2 causes more severe illness in children,5 compared with bronchiolitis from other pathogens, which has important implications for hospital staffing models and public health recommendations pertaining to vaccination and other nonpharmaceutical interventions.
The objectives of this study were to compare rates of hospitalization, all cause readmission, length of stay, and ICU admission for croup and bronchiolitis among children in the United States with and without SARS-CoV-2 infection over the pandemic period. We hypothesized that pediatric patients with croup secondary to SARS-CoV-2 would have more severe clinical outcomes compared with patients testing negative for SARS-CoV-2, including higher risk of hospital and ICU admission rates and readmissions. We anticipated that children with bronchiolitis secondary to SARS-CoV-2 would have similar presentations to other pathogens.
Methods
Data Source
We conducted a retrospective cohort study using electronic health record (EHR) data from PEDSnet institutions. PEDSnet (pedsnet.org) is a multiinstitutional clinical research network that aggregates EHR data from several of the nation’s largest children’shealth care organizations. Participating institutions included Children’s Hospital of Philadelphia, Cincinnati Children’s Hospital Medical Center, Children’s Hospital Colorado, Ann & Robert H. Lurie Children’s Hospital of Chicago, Nationwide Children’s Hospital, Nemours Children’s Health System (a Delaware and Florida health system), Seattle Children’s Hospital, and Stanford Children’s Health. PEDSnet standardizes data to the Observational Medical Outcomes Partnership common data model and has accrued data for >8 million children with at least 1 visit from 2009 to 2021 from inpatient and outpatient clinical settings. Data were extracted from the PEDSnet coronavirus disease 2019 database version May 19, 2022. The Children’s Hospital of Philadelphia’s institutional review board designated this study as nonhuman subjects research and the need for consent was waived.
Study Cohort
We retrieved EHR data from children aged 30 days to 14 years who underwent SARS-CoV-2 polymerase chain reaction testing within 72 hours of a diagnosis of croup or bronchiolitis made in outpatient, inpatient, and emergency department settings. The study period spanned from March 1, 2020, to May 31, 2022. We used the International Classification of Diseases, Ninth Revision, Clinical Modification/SNOMED codes to identify subjects with bronchiolitis and croup (Supplemental Tables 3 and 4). We formed 2 study cohorts: Children with croup (aged between 6 months and 14 years) and children with bronchiolitis (aged between 30 days and 2 years). The entrance was the day of the first positive or first negative test (Supplemental Table 5).
Variables
The primary outcome was hospitalization with croup or bronchiolitis. Secondary outcomes included all-cause readmissions within 30 days of initial diagnosis with bronchiolitis or croup, hospital length of stay, and admission to the ICU. Variant periods were defined as the timing in which a variant represented >50% of cases in the United States. The predelta period was from March 2020 to June 2021, the delta period was from July to December 2021, and the omicron period was from January to May 2022. Patient-level variables included age, sex, race, ethnicity, insurance status, and complex conditions. Complex conditions were defined as using the Pediatric Medical Complexity Algorithm classification system.6
Statistical Analyses
χ2 or Mann-Whitney tests were used to assess bivariable relationships between children with SARS-CoV-2–positive and negative croup and bronchiolitis with respect to demographic variables (age, sex, race/ethnicity, insurance, site, chronic conditions), and clinical outcomes (hospitalization, hospital length of stay, ICU admission, readmission). Multivariable mixed effects logistic regression models with random intercept for site were used to identify associations between SARS-CoV-2 positivity and clinical outcomes, adjusting for baseline characteristics including age, sex, race, ethnicity, insurance status, and complex conditions. We considered all factors that were statistically and clinically significant on a bivariable level for inclusion in the model. Multivariable mixed effect log gamma regression was used for the secondary outcome of length of stay. Odds ratios and 95% confidence intervals were estimated, and results with P < .05 were considered statistically significant. Analyses were conducted using R version 4.1.2 (November 1, 2021).
Results
The number of emergency department visits and hospitalizations for croup and bronchiolitis among SARS-CoV-2 cases by month is shown in Fig 1. The peak of SARS-CoV-2 croup and bronchiolitis was in January 2022 during the omicron period. Across all time periods, more than half (59.6%) of SARS-CoV-2 croup cases presented during the omicron period. SARS-CoV-2 bronchiolitis cases were more evenly distributed across the delta (42.6%) and omicron (44.3%) time periods.
Among children with croup, the median age was 33 months (interquartile range, 18–56 months), and most (89.9%) were aged <6 years. Among children with croup, 1835 children were SARS-CoV-2 positive (Table 1). SARS-CoV-2–positive children were younger (median age 24 months) compared with SARS-CoV-2–negative children (median age 33 months). A greater proportion of children with SARS-CoV-2 were Hispanic/Latinx (24.2%) compared with children without SARS-CoV-2 (15.0%; P ≤ .001). A greater proportion of children with SARS-CoV-2 were seen during the omicron time frame (59.6%), compared with predelta (10.8%) and delta (29.8%; P ≤ .001) time frames.
(A) Croup . | Tested for SARS-CoV-2 by PCR, n = 17 941; n (col %) . | SARS-CoV-2 Positive, n = 1835; n (col %) . | SARS-CoV-2 Negative, n = 16 106; n (col %) . | P . |
---|---|---|---|---|
Age in mo (median, IQR) | 33 (18–56) | 24 (34–37) | 33 (41–42) | <.0001 |
Female sex | 6709 (37.4%) | 685 (37.3%) | 6024 (37.4%) | .445 |
Race | .667 | |||
White | 11 112 (61.2%) | 1070 (58.3%) | 10 042 (62.3%) | |
Black/African American | 2508 (13.8%) | 210 (11.4%) | 2088 (13.0%) | |
Asian American/Native Hawaiian/Pacific Islander/American Indian/Alaska Native | 705 (3.9%) | 84 (34.6%) | 621 (3.9%) | |
Multiple race/other | 2389 (13.2%) | 338 (18.4%) | 2051 (12.7%) | |
Unknown | 1437 (7.9%) | 133 (7.2%) | 1304 (8.1%) | |
Ethnicity | <.0001 | |||
Hispanic or Latinx | 2857 (15.9%) | 444 (24.2%) | 2413 (15.0%) | |
Not Hispanic or Latinx | 14 290 (79.6%) | 1311 (71.4%) | 12 979 (80.6%) | |
Other/unknown | 794 (4.42%) | 80 (4.3%) | 714 (4.4%) | |
Insurance | <.0001 | |||
Medicaid/CHIP | 6868 (38.0%) | 746 (40.7%) | 6122 (38.0%) | |
Private/commercial | 8445 (46.8%) | 788 (42.9%) | 7657 (47.5%) | |
Self-pay | 98 (0.5%) | 14 (0.8%) | 84 (0.5%) | |
Other/unknown | 1882 (10.4%) | 201 (11.0%) | 1681 (10.4%) | |
Mixed | 648 (3.6%) | 86 (4.7%) | 562 (3.5%) | |
Complex chronic conditions | 111 (0.6%) | 9 (0.5%) | 102 (0.6%) | <.0001 |
Site | ||||
A | 2147 (12.0%) | 256 (14.0%) | 1891 (11.7%) | <.0001 |
B | 4366 (24.3%) | 316 (17.2%) | 4050 (25.1%) | |
C | 3617 (20.2%) | 526 (28.7%) | 3091 (19.2%) | |
D | 1160 (6.5%) | 186 (10.1%) | 974 (6.0%) | |
E | 3500 (19.5%) | 240 (13.1%) | 3260 (20.2%) | |
F | 2135 (11.9%) | 224 (12.2%) | 1911 (11.9%) | |
G | 793 (4.4%) | 75 (4.1%) | 718 (4.5%) | |
H | 223 (1.2%) | 12 (0.7%) | 211 (1.3%) | |
Time period | ||||
Predelta (March 2020–June 2021) | 4966 (27.7%) | 195 (10.6%) | 4771 (29.6%) | <.0001 |
Delta (July 2021–December 2021) | 8513 (47.4%) | 547 (29.8%) | 7966 (49.5%) | |
Omicron (January 2022–May 2022) | 4462 (24.9%) | 1093 (59.6%) | 3369 (20.9%) | |
(B) Bronchiolitis . | Tested for SARS-CoV-2 by PCR, n = 16 516; n (col %) . | SARS-CoV-2 positive, n = 652; n (col %) . | SARS-CoV-2 negative, n = 15 864; n (col %) . | P . |
Age in mo (median, IQR) | 8.3 (4–15) | 6 (7–8) | 9 (9–9) | <.0001 |
Female sex | 6555 (39.6%) | 263 (40.3%) | 6292 (39.6%) | .693 |
Race | ||||
White | 8178 (49.4%) | 332 (50.9%) | 7846 (49.3%) | <.0001 |
Black/African American | 4038 (24.4%) | 151 (23.2%) | 3887 (24.4%) | |
Asian American/Native Hawaiian/Pacific Islander/American Indian/Alaska Native | 441 (2.7%) | 17 (2.6%) | 424 (2.7%) | |
Multiple race/other | 2537 (15.3%) | 106 (16.3%) | 2431(15.3%) | |
Unknown | 1367 (8.3%) | 46 (7.1%) | 1321 (8.3%) | |
Ethnicity | ||||
Hispanic or Latinx | 3118 (18.8%) | 139 (21.3%) | 2979 (18.7%) | <.0001 |
Not Hispanic or Latinx | 12 631 (76.3%) | 482 (73.9%) | 12 149 (76.4%) | |
Other/unknown | 812 (4.9%) | 31 (4.7%) | 781 (5.0%) | |
Insurance | ||||
Government | 8462 (51.1%) | 365 (56.0%) | 8097 (50.9%) | <.0001 |
Private/commercial | 5620 (33.9%) | 185 (28.4%) | 5435 (34.2%) | |
Self-pay | 111 (0.7%) | 1-10* | 108 (0.7%) | |
Other/unknown | 1573 (9.5%) | 64 (9.8%) | 1509 (9.5%) | |
Mixed | 795 (4.8%) | 35 (5.4%) | 760 (4.8%) | |
Complex chronic conditions | 279 (1.7%) | 8 (1.2%) | 271 (1.7%) | <.0001 |
Hospital | ||||
A | 2086 (12.6%) | 2003 (12.6%) | 83 (12.7%) | <.0001 |
B | 3563 (21.5%) | 3442 (21.6%) | 121 (18.6%) | |
C | 3785 (22.6%) | 3592 (22.6%) | 193 (29.6%) | |
D | 978 (5.9%) | 932 (5.9%) | 46 (7.1%) | |
E | 2962 (17.9%) | 2860 (18.0%) | 102 (15.6%) | |
F | 2599 (15.7%) | 2506 (15.8%) | 93 (14.3%) | |
G | 327 (2.0%) | 318 (2.0%) | 9 (1.4%) | |
H | 261 (1.6%) | 256 (1.6%) | 5 (0.8%) | |
Time period | ||||
Predelta (March 2020–June 2021) | 3718 (22.5%) | 85 (13.0%) | 3633 (22.8%) | <.0001 |
Delta (July 2021–December 2021) | 9974 (60.2%) | 278 (42.6%) | 9696 (60.9%) | |
Omicron (January 2022–May 2022) | 2869 (17.3%) | 289 (44.3%) | 2580 (16.2%) |
(A) Croup . | Tested for SARS-CoV-2 by PCR, n = 17 941; n (col %) . | SARS-CoV-2 Positive, n = 1835; n (col %) . | SARS-CoV-2 Negative, n = 16 106; n (col %) . | P . |
---|---|---|---|---|
Age in mo (median, IQR) | 33 (18–56) | 24 (34–37) | 33 (41–42) | <.0001 |
Female sex | 6709 (37.4%) | 685 (37.3%) | 6024 (37.4%) | .445 |
Race | .667 | |||
White | 11 112 (61.2%) | 1070 (58.3%) | 10 042 (62.3%) | |
Black/African American | 2508 (13.8%) | 210 (11.4%) | 2088 (13.0%) | |
Asian American/Native Hawaiian/Pacific Islander/American Indian/Alaska Native | 705 (3.9%) | 84 (34.6%) | 621 (3.9%) | |
Multiple race/other | 2389 (13.2%) | 338 (18.4%) | 2051 (12.7%) | |
Unknown | 1437 (7.9%) | 133 (7.2%) | 1304 (8.1%) | |
Ethnicity | <.0001 | |||
Hispanic or Latinx | 2857 (15.9%) | 444 (24.2%) | 2413 (15.0%) | |
Not Hispanic or Latinx | 14 290 (79.6%) | 1311 (71.4%) | 12 979 (80.6%) | |
Other/unknown | 794 (4.42%) | 80 (4.3%) | 714 (4.4%) | |
Insurance | <.0001 | |||
Medicaid/CHIP | 6868 (38.0%) | 746 (40.7%) | 6122 (38.0%) | |
Private/commercial | 8445 (46.8%) | 788 (42.9%) | 7657 (47.5%) | |
Self-pay | 98 (0.5%) | 14 (0.8%) | 84 (0.5%) | |
Other/unknown | 1882 (10.4%) | 201 (11.0%) | 1681 (10.4%) | |
Mixed | 648 (3.6%) | 86 (4.7%) | 562 (3.5%) | |
Complex chronic conditions | 111 (0.6%) | 9 (0.5%) | 102 (0.6%) | <.0001 |
Site | ||||
A | 2147 (12.0%) | 256 (14.0%) | 1891 (11.7%) | <.0001 |
B | 4366 (24.3%) | 316 (17.2%) | 4050 (25.1%) | |
C | 3617 (20.2%) | 526 (28.7%) | 3091 (19.2%) | |
D | 1160 (6.5%) | 186 (10.1%) | 974 (6.0%) | |
E | 3500 (19.5%) | 240 (13.1%) | 3260 (20.2%) | |
F | 2135 (11.9%) | 224 (12.2%) | 1911 (11.9%) | |
G | 793 (4.4%) | 75 (4.1%) | 718 (4.5%) | |
H | 223 (1.2%) | 12 (0.7%) | 211 (1.3%) | |
Time period | ||||
Predelta (March 2020–June 2021) | 4966 (27.7%) | 195 (10.6%) | 4771 (29.6%) | <.0001 |
Delta (July 2021–December 2021) | 8513 (47.4%) | 547 (29.8%) | 7966 (49.5%) | |
Omicron (January 2022–May 2022) | 4462 (24.9%) | 1093 (59.6%) | 3369 (20.9%) | |
(B) Bronchiolitis . | Tested for SARS-CoV-2 by PCR, n = 16 516; n (col %) . | SARS-CoV-2 positive, n = 652; n (col %) . | SARS-CoV-2 negative, n = 15 864; n (col %) . | P . |
Age in mo (median, IQR) | 8.3 (4–15) | 6 (7–8) | 9 (9–9) | <.0001 |
Female sex | 6555 (39.6%) | 263 (40.3%) | 6292 (39.6%) | .693 |
Race | ||||
White | 8178 (49.4%) | 332 (50.9%) | 7846 (49.3%) | <.0001 |
Black/African American | 4038 (24.4%) | 151 (23.2%) | 3887 (24.4%) | |
Asian American/Native Hawaiian/Pacific Islander/American Indian/Alaska Native | 441 (2.7%) | 17 (2.6%) | 424 (2.7%) | |
Multiple race/other | 2537 (15.3%) | 106 (16.3%) | 2431(15.3%) | |
Unknown | 1367 (8.3%) | 46 (7.1%) | 1321 (8.3%) | |
Ethnicity | ||||
Hispanic or Latinx | 3118 (18.8%) | 139 (21.3%) | 2979 (18.7%) | <.0001 |
Not Hispanic or Latinx | 12 631 (76.3%) | 482 (73.9%) | 12 149 (76.4%) | |
Other/unknown | 812 (4.9%) | 31 (4.7%) | 781 (5.0%) | |
Insurance | ||||
Government | 8462 (51.1%) | 365 (56.0%) | 8097 (50.9%) | <.0001 |
Private/commercial | 5620 (33.9%) | 185 (28.4%) | 5435 (34.2%) | |
Self-pay | 111 (0.7%) | 1-10* | 108 (0.7%) | |
Other/unknown | 1573 (9.5%) | 64 (9.8%) | 1509 (9.5%) | |
Mixed | 795 (4.8%) | 35 (5.4%) | 760 (4.8%) | |
Complex chronic conditions | 279 (1.7%) | 8 (1.2%) | 271 (1.7%) | <.0001 |
Hospital | ||||
A | 2086 (12.6%) | 2003 (12.6%) | 83 (12.7%) | <.0001 |
B | 3563 (21.5%) | 3442 (21.6%) | 121 (18.6%) | |
C | 3785 (22.6%) | 3592 (22.6%) | 193 (29.6%) | |
D | 978 (5.9%) | 932 (5.9%) | 46 (7.1%) | |
E | 2962 (17.9%) | 2860 (18.0%) | 102 (15.6%) | |
F | 2599 (15.7%) | 2506 (15.8%) | 93 (14.3%) | |
G | 327 (2.0%) | 318 (2.0%) | 9 (1.4%) | |
H | 261 (1.6%) | 256 (1.6%) | 5 (0.8%) | |
Time period | ||||
Predelta (March 2020–June 2021) | 3718 (22.5%) | 85 (13.0%) | 3633 (22.8%) | <.0001 |
Delta (July 2021–December 2021) | 9974 (60.2%) | 278 (42.6%) | 9696 (60.9%) | |
Omicron (January 2022–May 2022) | 2869 (17.3%) | 289 (44.3%) | 2580 (16.2%) |
Cell counts <11 are suppressed. CHIP, Children’s Health Insurance Program; col, column; IQR, interquartile range; PCR, polymerase chain reaction.
Among subjects with bronchiolitis, the median age was 8.3 months (interquartile range, 4–15 months); 652 subjects were SARS-CoV-2 positive. SARS-CoV-2–positive children were younger (median age 6 months) compared with SARS-CoV-2–negative children (median age 9 months). A greater proportion of children with SARS-CoV-2 infection were Medicaid/Children’s Health Insurance Program beneficiaries (56.0%) compared with children without SARS-CoV-2 (50.9%; P ≤ .001). A greater proportion of children with SARS- CoV-2 were Hispanic/Latinx (21.3%) compared with children without SARS-CoV-2 (18.7%; P = .001). A greater proportion of children with SARS-CoV-2 were white race (50.9%) compared with children without SARS-CoV-2 (49.3%; P ≤ .0001). A greater proportion of children with SARS-CoV-2 were seen during the omicron time frame (44.3%), compared with pre delta (13.0%) and delta (42.6%; P ≤ .001) time frames.
The results of the multivariable regression analyses are shown in Table 2. After controlling for patient-level variables and clustering within hospital, for both bronchiolitis and croup, we found no difference in the adjusted odds of clinical outcomes (hospitalization, hospital length of stay, ICU admission,/readmission) comparing children with SARS-CoV-2 to those without.
(A) Croup . | Tested for SARS-CoV-2 by PCR, n = 17 941 . | SARS-CoV-2 Positive, n = 1865 . | SARS-CoV-2 Negative, n = 16 076 . | Adjusted Odds Ratio (95% CI) . | P . |
---|---|---|---|---|---|
Hospitalized | 1328 (7.4%) | 156 (8.4%) | 1172 (7.3%) | 1.11 (0.93–1.33) | .25 |
ICU admission | 200 (1.1%) | 23 (2.7) | 177 (1.1%) | 0.88 (0.56–1.39) | .59 |
Hospital length of stay in d (median, IQR) | 1 (1–1) | 1 (1–1) | 1 (1–1) | 1.02 (0.93–1.11) | .78 |
Readmission | 231 (1.3%) | 23 (1.2%) | 208 (1.3%) | 0.97 (0.62–1.51) | .89 |
(B) Bronchiolitis . | N = 16 516 . | n = 652 . | n = 15 864 . | . | . |
Hospitalized | 5632 (34.1%) | 218 (11.7%) | 5414 (34.8%) | 0.9 (0.78–1.10) | .37 |
ICU admission | 948 (5.7%) | 43 (2.3%) | 905 (5.7%) | 1.16 (0.84–1.61) | .36 |
Hospital length of stay in d (median, IQR) | 1 (1–1) | 1 (1–1) | 1 (1–1) | 0.88 (0.78–1) | .61 |
Readmission | 836 (5.1%) | 36 (1.9%) | 797 (5.0%) | 1.08 (0.78–1.51) | .64 |
(A) Croup . | Tested for SARS-CoV-2 by PCR, n = 17 941 . | SARS-CoV-2 Positive, n = 1865 . | SARS-CoV-2 Negative, n = 16 076 . | Adjusted Odds Ratio (95% CI) . | P . |
---|---|---|---|---|---|
Hospitalized | 1328 (7.4%) | 156 (8.4%) | 1172 (7.3%) | 1.11 (0.93–1.33) | .25 |
ICU admission | 200 (1.1%) | 23 (2.7) | 177 (1.1%) | 0.88 (0.56–1.39) | .59 |
Hospital length of stay in d (median, IQR) | 1 (1–1) | 1 (1–1) | 1 (1–1) | 1.02 (0.93–1.11) | .78 |
Readmission | 231 (1.3%) | 23 (1.2%) | 208 (1.3%) | 0.97 (0.62–1.51) | .89 |
(B) Bronchiolitis . | N = 16 516 . | n = 652 . | n = 15 864 . | . | . |
Hospitalized | 5632 (34.1%) | 218 (11.7%) | 5414 (34.8%) | 0.9 (0.78–1.10) | .37 |
ICU admission | 948 (5.7%) | 43 (2.3%) | 905 (5.7%) | 1.16 (0.84–1.61) | .36 |
Hospital length of stay in d (median, IQR) | 1 (1–1) | 1 (1–1) | 1 (1–1) | 0.88 (0.78–1) | .61 |
Readmission | 836 (5.1%) | 36 (1.9%) | 797 (5.0%) | 1.08 (0.78–1.51) | .64 |
Models controlled for age, sex, race/ethnicity, insurance, site, chronic conditions, and hospital site. Numbers of admissions that are <11 in a given week are suppressed. CI, confidence interval; IQR, interquartile range; PCR, polymerase chain reaction.
Discussion
In this multiinstitutional, retrospective study evaluating children with molecular testing for SARS-CoV-2 with croup or bronchiolitis during a time of universal SARS-CoV-2 testing for hospitalized children in the United States, we found no differences in clinical outcomes when comparing children with evidence of SARS-CoV-2 infection to those without. Overall, SARS-CoV-2 positivity was low among croup and bronchiolitis cases but accounted for a higher proportion of croup cases than bronchiolitis cases. The positivity rates of SARS-CoV-2 in cases of croup and bronchiolitis align with findings from similar studies.3,7,8 Across all time frames, most SARS-CoV-2 croup cases were seen during the omicron time frame, whereas SARS-CoV-2 bronchiolitis was seen across both the delta and omicron time frames. This difference may result from younger children’s increased susceptibility during the omicron period, with smaller airway caliber and differing pathophysiology between delta and omicron variants, specifically omicron’s rapid replication rate in upper airways.4 Although we did not find significant differences in admission rates comparing children with croup who tested positive for SARS-CoV-2 to those who tested negative across the time periods, we did note that, across all periods, 59.6% of the admissions for SARS-CoV-2–associated croup occurred during the omicron period. This finding is in line with a previous observational study that noted that, among children with SARS-CoV-2, there were higher rates of hospitalization for SARS-CoV-2–associated croup during omicron period versus pre-omicron.2
Differences in demographics (age, race, ethnicity), complex chronic conditions, and insurance coverage were noted between SARS-CoV-2–positive and negative patient groups in our study. Previous studies have found disparities in infection rates and outcomes by race, ethnicity, and socioeconomic status.9 Our study was not able to determine the underlying factors associated with these differences in SARS-CoV-2 infection, which likely reflect unmeasured factors (eg, overrepresentation of disadvantaged populations considered essential workers).
The study has several limitations that need to be acknowledged. First, the data collection period for the study did not include data from June 2022 onwards, which limits the temporal scope of the findings. Additionally, the study did not evaluate treatments or oxygen requirements, which could have provided additional insights into patient severity and outcomes. Another limitation is that the use of hospitalization and ICU admission as surrogate markers for severity may not fully capture the complexity of the disease progression, and different thresholds for ICU admission may exist across PEDSnet sites. The SARS-CoV-2–negative children represent a heterogeneous group, and other viral results were not available for all SARS-CoV-2–negative patients, so we were unable to compare specific pathogens to SARS-CoV-2. Lastly, important variables such as vaccination data and treatment information, which could have impacted the outcomes, were not included in the study.
Conclusions
The findings of this study suggest that pediatric patients with croup and bronchiolitis associated with SARS-CoV-2 infection do not experience higher rates of hospital and ICU admissions or readmissions compared with patients without SARS-CoV-2. The study contributes to our understanding of the impact of SARS-CoV-2 on respiratory illnesses in children. These findings have implications for capacity and workforce planning and public health recommendations, and highlight the need for continued monitoring of variant-specific effects. Further research is necessary to investigate potential treatments and other factors that may influence disease severity in pediatric patients with croup and bronchiolitis caused by SARS-CoV-2.
Acknowledgments
We thank the PEDSnet Data Coordinating Center at Children’s Hospital Philadelphia and the clinical informatics team at Children’s Hospital Colorado for their assistance with obtaining and preparing the data set for the study.:
Drs Tyler and Rao made substantial contributions to conception and design, data interpretation, and drafting the article or revising it critically for important intellectual content; Mr Tucker, Ms Moss, Dr Kille, and Ms Rifken made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; Dr Bakel made substantial contributions to interpretation of data; Drs Forrest, Schroeder, Khaitan, Morizono, Fitzgerald, Pajor, Christakis, Bailey, Jhaveri, Muszynski, and Bunnell made contributions to interpretation of data; and all authors contributed to revising the manuscript critically for important intellectual content, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.
Authorship has been determined according to International Committee of Medical Journal Editors recommendations.
References
Competing Interests
CONFLICT OF INTEREST DISCLOSURES: Dr Rao reports previous grant support from GSK and Biofire. Dr Bakel reports current grant support from Pfizer. Dr Jhaveri is a consultant for AstraZeneca, Seqirus, and Dynavax; receives an editorial stipend from Elsevier and the Pediatric Infectious Diseases Society; and receives royalties from Up To Date/Wolters Kluwer. The other authors have indicated they have no conflicts of interest relevant to this article to disclose.
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