Browsing by Author "Carroll, Christopher L."
Now showing 1 - 10 of 18
Results Per Page
Sort Options
Item 237. A Case-Control Study Investigating Household, Community, and Clinical Risk Factors Associated with Multisystem Inflammatory Syndrome in Children (MIS-C) after SARS-CoV-2 Infection(Oxford University Press, 2022) Zambrano, Laura D.; Wu, Michael J.; Martin, Lora M.; Malloch, Lacy; Newhams, Margaret M.; Son, Mary Beth; Sanders, Cameron; Patterson, Kayla; Halasa, Natasha B.; Fitzgerald, Julie C.; Leroue, Matthew; Hall, Mark; Irby, Katherine; Rowan, Courtney M.; Wellnitz, Kari; Loftis, Laura L.; Bradford, Tamara T.; Staat, Mary A.; Babbit, Christopher; Carroll, Christopher L.; Pannaraj, Pia S.; Kong, Michele; Chou, Janet; Patel, Manish M.; Randolph, Adrienne G.; Campbell, Angela P.; Hobbs, Charlotte V.; Medicine, School of MedicineBackground: Risk factors for MIS-C, a rare but serious hyperinflammatory syndrome associated with SARS-CoV-2 infection, remain unclear. We evaluated household, clinical, and environmental risk factors potentially associated with MIS-C. Methods: This investigation included MIS-C cases hospitalized in 14 US pediatric hospitals in 2021. Outpatient controls were frequency-matched to case-patients by age group and site and had a positive SARS-CoV-2 viral test within 3 months of the admission of their matched MIS-C case (Figure 1). We conducted telephone surveys with caregivers and evaluated potential risk factors using mixed effects multivariable logistic regression, including site as a random effect. We queried regarding exposures within the month before hospitalization for MIS-C cases or the month after a positive COVID-19 test for controls. Enrollment scheme for MIS-C case-patients and SARS-CoV-2-positive outpatient controls. MIS-C case-patients were identified through hospital electronic medical records, while two outpatient controls per case were identified through registries of outpatient SARS-CoV-2 testing logs at facilities affiliated with that medical center. Caregivers of outpatient controls were interviewed at least four weeks after their positive test to ensure they did not develop MIS-C after their infection. Results: We compared 275 MIS-C case-patients with 494 outpatient SARS-CoV-2-positive controls. Race, ethnicity and social vulnerability indices were similar. MIS-C was more likely among persons who resided in households with >1 resident per room (aOR=1.6, 95% CI: 1.1–2.2), attended a large (≥10 people) event with little to no mask-wearing (aOR=2.2, 95% CI: 1.4–3.5), used public transportation (aOR=1.6, 95% CI: 1.2–2.1), attended school >2 days per week with little to no mask wearing (aOR=2.1, 95% CI: 1.0–4.4), or had a household member test positive for COVID-19 (aOR=2.1, 95% CI: 1.3–3.3). MIS-C was less likely among children with comorbidities (aOR=0.5, 95% CI: 0.3–0.9) and in those who had >1 positive SARS-CoV-2 test at least 1 month apart (aOR=0.4, 95% CI: 0.2–0.6). MIS-C was not associated with a medical history of recurrent infections or family history of underlying rheumatologic disease. Conclusion: Household crowding, limited masking at large indoor events or schools and use of public transportation were associated with increased likelihood of developing MIS-C after SARS-CoV-2 infection. In contrast, decreased likelihood of MIS-C was associated with having >1 SARS-CoV-2 positive test separated by at least a month. Our data suggest that additional studies are needed to determine if viral load, and/or recurrent infections in the month prior to MIS-C contribute to MIS-C risk. Medical and family history were not associated with MIS-C in our analysis.Item Changes in Pediatric ICU Utilization and Clinical Trends During the Coronavirus Pandemic(Elsevier, 2021) Zee-Cheng, Janine; McCluskey, Casey K.; Klein, Margaret J.; Scanlon, Matthew C.; Rotta, Alexandre T.; Shein, Steven L.; Pineda, Jose A.; Remy, Kenneth E.; Carroll, Christopher L.; Pediatrics, School of MedicineBackground Children have been less affected by the COVID-19 pandemic, but its repercussions on pediatric illnesses may have been significant. This study examines the indirect impact of the pandemic on a population of critically ill children in the United States. Research Question Were there significantly fewer critically ill children admitted to PICUs during the second quarter of 2020, and were there significant changes in the types of diseases admitted? Study Design and Methods This retrospective observational cohort study used the Virtual Pediatric Systems database. Participants were 160,295 children admitted to the PICU at 77 sites in the United States during quarters 1 (Q1) and 2 (Q2) of 2017 to 2019 (pre-COVID-19) and 2020 (COVID-19). Results The average number of admissions was similar between pre-COVID-19 Q1 and COVID-19 Q1 but decreased by 32% from pre-COVID-19 Q2 to COVID-19 Q2 (20,157 to 13,627 admissions per quarter). The largest decreases were in respiratory conditions, including asthma (1,327 subjects in pre-COVID-19 Q2 (6.6% of patients) vs 241 subjects in COVID-19 Q2 (1.8%; P < .001) and bronchiolitis (1,299 [6.5%] vs 121 [0.9%]; P < .001). The percentage of trauma admissions increased, although the raw number of trauma admissions decreased. Admissions for diabetes mellitus and poisoning/ingestion also increased. In the multivariable model, illness severity-adjusted odds of ICU mortality for PICU patients during COVID-19 Q2 increased compared with pre-COVID-19 Q2 (OR, 1.165; 95% CI, 1.00-1.357; P = .049). Interpretation Pediatric critical illness admissions decreased substantially during the second quarter of 2020, with significant changes in the types of diseases seen in PICUs in the United States. There was an increase in mortality in children admitted to the PICU during this period.Item Community-Onset Bacterial Coinfection in Children Critically Ill With Severe Acute Respiratory Syndrome Coronavirus 2 Infection(Oxford University Press, 2023-03-06) Moffitt, Kristin L.; Nakamura, Mari M.; Young, Cameron C.; Newhams, Margaret M.; Halasa, Natasha B.; Reed, J. Nelson; Fitzgerald, Julie C.; Spinella, Philip C.; Soma, Vijaya L.; Walker, Tracie C.; Loftis, Laura L.; Maddux, Aline B.; Kong, Michele; Rowan, Courtney M.; Hobbs, Charlotte V.; Schuster, Jennifer E.; Riggs, Becky J.; McLaughlin, Gwenn E.; Michelson, Kelly N.; Hall, Mark W.; Babbitt, Christopher J.; Cvijanovich, Natalie Z.; Zinter, Matt S.; Maamari, Mia; Schwarz, Adam J.; Singh, Aalok R.; Flori, Heidi R.; Gertz, Shira J.; Staat, Mary A.; Giuliano, John S., Jr.; Hymes, Saul R.; Clouser, Katharine N.; McGuire, John; Carroll, Christopher L.; Thomas, Neal J.; Levy, Emily R.; Randolph, Adrienne G.; Pediatrics, School of MedicineBackground: Community-onset bacterial coinfection in adults hospitalized with coronavirus disease 2019 (COVID-19) is reportedly uncommon, though empiric antibiotic use has been high. However, data regarding empiric antibiotic use and bacterial coinfection in children with critical illness from COVID-19 are scarce. Methods: We evaluated children and adolescents aged <19 years admitted to a pediatric intensive care or high-acuity unit for COVID-19 between March and December 2020. Based on qualifying microbiology results from the first 3 days of admission, we adjudicated whether patients had community-onset bacterial coinfection. We compared demographic and clinical characteristics of those who did and did not (1) receive antibiotics and (2) have bacterial coinfection early in admission. Using Poisson regression models, we assessed factors associated with these outcomes. Results: Of the 532 patients, 63.3% received empiric antibiotics, but only 7.1% had bacterial coinfection, and only 3.0% had respiratory bacterial coinfection. In multivariable analyses, empiric antibiotics were more likely to be prescribed for immunocompromised patients (adjusted relative risk [aRR], 1.34 [95% confidence interval {CI}, 1.01-1.79]), those requiring any respiratory support except mechanical ventilation (aRR, 1.41 [95% CI, 1.05-1.90]), or those requiring invasive mechanical ventilation (aRR, 1.83 [95% CI, 1.36-2.47]) (compared with no respiratory support). The presence of a pulmonary comorbidity other than asthma (aRR, 2.31 [95% CI, 1.15-4.62]) was associated with bacterial coinfection. Conclusions: Community-onset bacterial coinfection in children with critical COVID-19 is infrequent, but empiric antibiotics are commonly prescribed. These findings inform antimicrobial use and support rapid de-escalation when evaluation shows coinfection is unlikely.Item Comparing the Digital Footprint of Pulmonary and Critical Care Conferences on Twitter(American Thoracic Society, 2021-09-13) Carroll, Christopher L.; Kaul, Viren; Dangayach, Neha S.; Szakmany, Tamas; Winter, Gretchen; Khateeb, Dina; Carlos, W. Graham; Kudchadkar, Sapna R.; Medicine, School of MedicineBackground: Pulmonary and critical care societies, including the American Thoracic Society, the American College of Chest Physicians, and the Society of Critical Care Medicine have large memberships that gather at academic conference events, attracting thousands of attendees. Objective: With the growth of social media use among pulmonary and critical care clinicians, our goal was to examine the Twitter presence and digital footprint of these three major medical society conferences. Methods: We used Symplur Signals (Symplur, LLC) to track the tweets and most active participants of the 2017-2019 annual conferences of American Thoracic Society, American College of Chest Physicians, and the Society of Critical Care Medicine. Attendance records of participants were obtained from each society. Results: During the study period, there was growth in the number of tweets, participants, and impressions for all three society conferences. Across all conferences, the amount of original content generated was less than the retweets, which comprised 50-72% of all tweets. Individuals physically attending each conference were more likely to post original content than those not in attendance (53-68% vs. 32-47%). For each society and at each meeting, clinicians made up the largest group of participants (44-60%), and most (59-82%) were physicians. A small cohort of participants was responsible for a large share of the tweets, with more than half of the participants at each conference for each society tweeting only once and only between 5-8% of participants tweeting more than 10 times. Seventy-eight individuals tweeted more than 100 times at one or more of the conferences. There was significant overlap in this group, with 32 of these individual participants tweeting more than 100 times at two or more of these conferences. Conclusion: Growth in conference digital footprints is largely due to increased activity by a small group of prolific participants that attend conferences by multiple academic societies. Original content makes up the smallest proportion of posts, suggesting that amplification of content is more prevalent than posting of original content. In a postpandemic environment, engagement of users producing original content may be even more important for medical societies.Item Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents(Elsevier, 2021-08-31) Geva, Alon; Patel, Manish M.; Geva, Alon; Patel, Manish M.; Newhams, Margaret M.; Young, Cameron C.; Son, Mary Beth F.; Kong, Michele; Maddux, Aline B.; Hall, Mark W.; Riggs, Becky J.; Singh, Aalok R.; Giuliano, John S.; Hobbs, Charlotte V.; Loftis, Laura L.; McLaughlin, Gwenn E.; Schwartz, Stephanie P.; Schuster, Jennifer E.; Babbitt, Christopher J.; Halasa, Natasha B.; Gertz, Shira J.; Doymaz, Sule; Hume, Janet R.; Bradford, Tamara T.; Irby, Katherine; Carroll, Christopher L.; McGuire, John K.; Tarquinio, Keiko M.; Rowan, Courtney M.; Mack, Elizabeth H.; Cvijanovich, Natalie Z.; Fitzgerald, Julie C.; Spinella, Philip C.; Staat, Mary A.; Clouser, Katharine N.; Soma, Vijaya L.; Dapul, Heda; Maamari, Mia; Bowens, Cindy; Havlin, Kevin M.; Mourani, Peter M.; Heidemann, Sabrina M.; Horwitz, Steven M.; Feldstein, Leora R.; Tenforde, Mark W.; Newburger, Jane W.; Mandl, Kenneth D.; Randolph, Adrienne G.; Overcoming COVID-19 Investigators; Pediatrics, School of MedicineBackground Multisystem inflammatory syndrome in children (MIS-C) consensus criteria were designed for maximal sensitivity and therefore capture patients with acute COVID-19 pneumonia. Methods We performed unsupervised clustering on data from 1,526 patients (684 labeled MIS-C by clinicians) <21 years old hospitalized with COVID-19-related illness admitted between 15 March 2020 and 31 December 2020. We compared prevalence of assigned MIS-C labels and clinical features among clusters, followed by recursive feature elimination to identify characteristics of potentially misclassified MIS-C-labeled patients. Findings Of 94 clinical features tested, 46 were retained for clustering. Cluster 1 patients (N = 498; 92% labeled MIS-C) were mostly previously healthy (71%), with mean age 7·2 ± 0·4 years, predominant cardiovascular (77%) and/or mucocutaneous (82%) involvement, high inflammatory biomarkers, and mostly SARS-CoV-2 PCR negative (60%). Cluster 2 patients (N = 445; 27% labeled MIS-C) frequently had pre-existing conditions (79%, with 39% respiratory), were similarly 7·4 ± 2·1 years old, and commonly had chest radiograph infiltrates (79%) and positive PCR testing (90%). Cluster 3 patients (N = 583; 19% labeled MIS-C) were younger (2·8 ± 2·0 y), PCR positive (86%), with less inflammation. Radiographic findings of pulmonary infiltrates and positive SARS-CoV-2 PCR accurately distinguished cluster 2 MIS-C labeled patients from cluster 1 patients. Interpretation Using a data driven, unsupervised approach, we identified features that cluster patients into a group with high likelihood of having MIS-C. Other features identified a cluster of patients more likely to have acute severe COVID-19 pulmonary disease, and patients in this cluster labeled by clinicians as MIS-C may be misclassified. These data driven phenotypes may help refine the diagnosis of MIS-C.Item A Description of COVID-19-Directed Therapy in Children Admitted to US Intensive Care Units 2020(Oxford University Press, 2022) Schuster, Jennifer E.; Halasa, Natasha B.; Nakamura, Mari; Levy, Emily R.; Fitzgerald, Julie C.; Young, Cameron C.; Newhams, Margaret M.; Bourgeois, Florence; Staat, Mary A.; Hobbs, Charlotte V.; Dapul, Heda; Feldstein, Leora R.; Jackson, Ashley M.; Mack, Elizabeth H.; Walker, Tracie C.; Maddux, Aline B.; Spinella, Philip C.; Loftis, Laura L.; Kong, Michele; Rowan, Courtney M.; Bembea, Melania M.; McLaughlin, Gwenn E.; Hall, Mark W.; Babbitt, Christopher J.; Maamari, Mia; Zinter, Matt S.; Cvijanovich, Natalie Z.; Michelson, Kelly N.; Gertz, Shira J.; Carroll, Christopher L.; Thomas, Neal J.; Giuliano, John S., Jr.; Singh, Aalok R.; Hymes, Saul R.; Schwarz, Adam J.; McGuire, John K.; Nofziger, Ryan A.; Flori, Heidi R.; Clouser, Katharine N.; Wellnitz, Kari; Cullimore, Melissa L.; Hume, Janet R.; Patel, Manish; Randolph, Adrienne G.; Overcoming COVID-19 Investigators; Pediatrics, School of MedicineBackground: It is unclear how acute coronavirus disease 2019 (COVID-19)-directed therapies are used in children with life-threatening COVID-19 in US hospitals. We described characteristics of children hospitalized in the intensive care unit or step-down unit (ICU/SDU) who received COVID-19-directed therapies and the specific therapies administered. Methods: Between March 15, 2020 and December 27, 2020, children <18 years of age in the ICU/SDU with acute COVID-19 at 48 pediatric hospitals in the United States were identified. Demographics, laboratory values, and clinical course were compared in children who did and did not receive COVID-19-directed therapies. Trends in COVID-19-directed therapies over time were evaluated. Results: Of 424 children in the ICU/SDU, 235 (55%) received COVID-19-directed therapies. Children who received COVID-19-directed therapies were older than those who did not receive COVID-19-directed therapies (13.3 [5.6-16.2] vs 9.8 [0.65-15.9] years), more had underlying medical conditions (188 [80%] vs 104 [55%]; difference = 25% [95% CI: 16% to 34%]), more received respiratory support (206 [88%] vs 71 [38%]; difference = 50% [95% CI: 34% to 56%]), and more died (8 [3.4%] vs 0). Of the 235 children receiving COVID-19-directed therapies, 172 (73%) received systemic steroids and 150 (64%) received remdesivir, with rising remdesivir use over the study period (14% in March/April to 57% November/December). Conclusion: Despite the lack of pediatric data evaluating treatments for COVID-19 in critically ill children, more than half of children requiring intensive or high acuity care received COVID-19-directed therapies.Item Epidemiology and Outcomes of SARS-CoV-2 Infection or Multisystem Inflammatory Syndrome in Children vs Influenza Among Critically Ill Children(American Medical Association, 2022-06-01) Shein, Steven L.; Carroll, Christopher L.; Remy, Kenneth E.; Rogerson, Colin M.; McCluskey, Casey K.; Lin, Anna; Rotta, Alexandre T.; Pediatrics, School of MedicineThis cohort study compares the epidemiology and outcomes of patients in the pediatric intensive care unit with SARS-CoV-2–related disease during the first 15 months of the COVID-19 pandemic vs children with critical influenza prior to the pandemic.Item Executive Summary of the Second International Guidelines for the Diagnosis and Management of Pediatric Acute Respiratory Distress Syndrome (PALICC-2)(Wolters Kluwer, 2023) Emeriaud, Guillaume; López-Fernández, Yolanda M.; Iyer, Narayan Prabhu; Bembea, Melania M.; Agulnik, Asya; Barbaro, Ryan P.; Baudin, Florent; Bhalla, Anoopindar; de Carvalho, Werther Brunow; Carroll, Christopher L.; Cheifetz, Ira M.; Chisti, Mohammod J.; Cruces, Pablo; Curley, Martha A. Q.; Dahmer, Mary K.; Dalton, Heidi J.; Erickson, Simon J.; Essouri, Sandrine; Fernández, Analía; Flori, Heidi R.; Grunwell, Jocelyn R.; Jouvet, Philippe; Killien, Elizabeth Y.; Kneyber, Martin C. J.; Kudchadkar, Sapna R.; Korang, Steven Kwasi; Lee, Jan Hau; Macrae, Duncan J.; Maddux, Aline; Alapont, Vicent Modesto I.; Morrow, Brenda M.; Nadkarni, Vinay M.; Napolitano, Natalie; Newth, Christopher J. L.; Pons-Odena, Martí; Quasney, Michael W.; Rajapreyar, Prakadeshwari; Rambaud, Jerome; Randolph, Adrienne G.; Rimensberger, Peter; Rowan, Courtney M.; Sanchez-Pinto, L. Nelson; Sapru, Anil; Sauthier, Michael; Shein, Steve L.; Smith, Lincoln S.; Steffen, Katerine; Takeuchi, Muneyuki; Thomas, Neal J.; Tse, Sze Man; Valentine, Stacey; Ward, Shan; Watson, R. Scott; Yehya, Nadir; Zimmerman, Jerry J.; Khemani, Robinder G.; Pediatrics, School of MedicineObjectives: We sought to update our 2015 work in the Second Pediatric Acute Lung Injury Consensus Conference (PALICC-2) guidelines for the diagnosis and management of pediatric acute respiratory distress syndrome (PARDS), considering new evidence and topic areas that were not previously addressed. Design: International consensus conference series involving 52 multidisciplinary international content experts in PARDS and four methodology experts from 15 countries, using consensus conference methodology, and implementation science. Setting: Not applicable. Patients: Patients with or at risk for PARDS. Interventions: None. Measurements and main results: Eleven subgroups conducted systematic or scoping reviews addressing 11 topic areas: 1) definition, incidence, and epidemiology; 2) pathobiology, severity, and risk stratification; 3) ventilatory support; 4) pulmonary-specific ancillary treatment; 5) nonpulmonary treatment; 6) monitoring; 7) noninvasive respiratory support; 8) extracorporeal support; 9) morbidity and long-term outcomes; 10) clinical informatics and data science; and 11) resource-limited settings. The search included MEDLINE, EMBASE, and CINAHL Complete (EBSCOhost) and was updated in March 2022. Grading of Recommendations, Assessment, Development, and Evaluation methodology was used to summarize evidence and develop the recommendations, which were discussed and voted on by all PALICC-2 experts. There were 146 recommendations and statements, including: 34 recommendations for clinical practice; 112 consensus-based statements with 18 on PARDS definition, 55 on good practice, seven on policy, and 32 on research. All recommendations and statements had agreement greater than 80%. Conclusions: PALICC-2 recommendations and consensus-based statements should facilitate the implementation and adherence to the best clinical practice in patients with PARDS. These results will also inform the development of future programs of research that are crucially needed to provide stronger evidence to guide the pediatric critical care teams managing these patients.Item Infants Admitted to US Intensive Care Units for RSV Infection During the 2022 Seasonal Peak(American Medical Association, 2023-08-01) Halasa, Natasha; Zambrano, Laura D.; Amarin, Justin Z.; Stewart, Laura S.; Newhams, Margaret M.; Levy, Emily R.; Shein, Steven L.; Carroll, Christopher L.; Fitzgerald, Julie C.; Michaels, Marian G.; Bline, Katherine; Cullimore, Melissa L.; Loftis, Laura; Montgomery, Vicki L.; Jeyapalan, Asumthia S.; Pannaraj, Pia S.; Schwarz, Adam J.; Cvijanovich, Natalie Z.; Zinter, Matt S.; Maddux, Aline B.; Bembea, Melania M.; Irby, Katherine; Zerr, Danielle M.; Kuebler, Joseph D.; Babbitt, Christopher J.; Glas Gaspers, Mary; Nofziger, Ryan A.; Kong, Michele; Coates, Bria M.; Schuster, Jennifer E.; Gertz, Shira J.; Mack, Elizabeth H.; White, Benjamin R.; Harvey, Helen; Hobbs, Charlotte V.; Dapul, Heda; Butler, Andrew D.; Bradford, Tamara T.; Rowan, Courtney M.; Wellnitz, Kari; Allen Staat, Mary; Aguiar, Cassyanne L.; Hymes, Saul R.; Randolph, Adrienne G.; Campbell, Angela P.; RSV-PIC Investigators; Pediatrics, School of MedicineImportance: Respiratory syncytial virus (RSV) is the leading cause of lower respiratory tract infections (LRTIs) and infant hospitalization worldwide. Objective: To evaluate the characteristics and outcomes of RSV-related critical illness in US infants during peak 2022 RSV transmission. Design, setting, and participants: This cross-sectional study used a public health prospective surveillance registry in 39 pediatric hospitals across 27 US states. Participants were infants admitted for 24 or more hours between October 17 and December 16, 2022, to a unit providing intensive care due to laboratory-confirmed RSV infection. Exposure: Respiratory syncytial virus. Main outcomes and measures: Data were captured on demographics, clinical characteristics, signs and symptoms, laboratory values, severity measures, and clinical outcomes, including receipt of noninvasive respiratory support, invasive mechanical ventilation, vasopressors or extracorporeal membrane oxygenation, and death. Mixed-effects multivariable log-binomial regression models were used to assess associations between intubation status and demographic factors, gestational age, and underlying conditions, including hospital as a random effect to account for between-site heterogeneity. Results: The first 15 to 20 consecutive eligible infants from each site were included for a target sample size of 600. Among the 600 infants, the median (IQR) age was 2.6 (1.4-6.0) months; 361 (60.2%) were male, 169 (28.9%) were born prematurely, and 487 (81.2%) had no underlying medical conditions. Primary reasons for admission included LRTI (594 infants [99.0%]) and apnea or bradycardia (77 infants [12.8%]). Overall, 143 infants (23.8%) received invasive mechanical ventilation (median [IQR], 6.0 [4.0-10.0] days). The highest level of respiratory support for nonintubated infants was high-flow nasal cannula (243 infants [40.5%]), followed by bilevel positive airway pressure (150 infants [25.0%]) and continuous positive airway pressure (52 infants [8.7%]). Infants younger than 3 months, those born prematurely (gestational age <37 weeks), or those publicly insured were at higher risk for intubation. Four infants (0.7%) received extracorporeal membrane oxygenation, and 2 died. The median (IQR) length of hospitalization for survivors was 5 (4-10) days. Conclusions and relevance: In this cross-sectional study, most US infants who required intensive care for RSV LRTIs were young, healthy, and born at term. These findings highlight the need for RSV preventive interventions targeting all infants to reduce the burden of severe RSV illness.Item Institutional Variability in Respiratory Support Use for Pediatric Critical Asthma: A Multicenter Retrospective Study(American Thoracic Society, 2024) Rogerson, Colin M.; White, Benjamin R.; Smith, Michele; Hogan, Alexander H.; Abu-Sultaneh, Samer; Carroll, Christopher L.; Shein, Steven L.; Pediatrics, School of MedicineRationale: Over 20,000 children are hospitalized in the United States for asthma every year. Although initial treatment guidelines are well established, there is a lack of high-quality evidence regarding the optimal respiratory support devices for these patients. Objectives: The objective of this study was to evaluate institutional and temporal variability in the use of respiratory support modalities for pediatric critical asthma. Methods: We conducted a retrospective cohort study using data from the Virtual Pediatrics Systems database. Our study population included children older than 2 years old admitted to a VPS contributing pediatric intensive care unit from January 2012 to December 2021 with a primary diagnosis of asthma or status asthmaticus. We evaluated the percentage of encounters using a high-flow nasal cannula (HFNC), continuous positive airway pressure (CPAP), noninvasive bilevel positive pressure ventilation (NIV), and invasive mechanical ventilation (IMV) for all institutions, then divided institutions into quintiles based on the volume of patients. We created logistic regression models to determine the influence of institutional volume and year of admission on respiratory support modality use. We also conducted time-series analyses using Kendall’s tau. Results: Our population included 77,115 patient encounters from 163 separate institutions. Institutional use of respiratory modalities had significant variation in HFNC (28.3%, interquartile range [IQR], 11.0–49.0%; P < 0.01), CPAP (1.4%; IQR, 0.3–4.3%; P < 0.01), NIV (8.6%; IQR, 3.5–16.1%; P < 0.01), and IMV (5.1%; IQR, 3.1–8.2%; P < 0.01). Increased institutional patient volume was associated with significantly increased use of NIV (odds ratio [OR], 1.33; 1.29–1.36; P < 0.01) and CPAP (OR, 1.20; 1.15–1.25; P < 0.01), and significantly decreased use of HFNC (OR, 0.80; 0.79–0.81; P < 0.01) and IMV (OR, 0.82; 0.79–0.86; P < 0.01). Time was also associated with a significant increase in the use of HFNC (11.0–52.3%; P < 0.01), CPAP (1.6–5.4%; P < 0.01), and NIV (3.7–21.2%; P < 0.01), whereas there was no significant change in IMV use (6.1–4.0%; P = 0.11). Conclusions: Higher-volume centers are using noninvasive positive pressure ventilation more frequently for pediatric critical asthma and lower frequencies of HFNC and IMV. Treatment with HFNC, CPAP, and NIV for this population is increasing in the last decade.