| Literature DB >> 35022779 |
Jennifer E Schuster1, Natasha B Halasa2, Mari Nakamura3,4, Emily R Levy5, Julie C Fitzgerald6, Cameron C Young7, Margaret M Newhams7, Florence Bourgeois8, Mary A Staat9, Charlotte V Hobbs10, Heda Dapul11, Leora R Feldstein12, Ashley M Jackson12, Elizabeth H Mack13, Tracie C Walker14, Aline B Maddux15, Philip C Spinella16, Laura L Loftis17, Michele Kong18, Courtney M Rowan19, Melania M Bembea20, Gwenn E McLaughlin21, Mark W Hall22, Christopher J Babbitt23, Mia Maamari24, Matt S Zinter25, Natalie Z Cvijanovich26, Kelly N Michelson27, Shira J Gertz28, Christopher L Carroll29, Neal J Thomas30, John S Giuliano31, Aalok R Singh32, Saul R Hymes33, Adam J Schwarz34, John K McGuire35, Ryan A Nofziger36, Heidi R Flori37, Katharine N Clouser38, Kari Wellnitz39, Melissa L Cullimore40, Janet R Hume41, Manish Patel12, Adrienne G Randolph7,42.
Abstract
BACKGROUND: 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.Entities:
Keywords: COVID-19; intensive care unit; pediatric; remdesivir; treatment
Mesh:
Year: 2022 PMID: 35022779 PMCID: PMC8807297 DOI: 10.1093/jpids/piab123
Source DB: PubMed Journal: J Pediatric Infect Dis Soc ISSN: 2048-7193 Impact factor: 5.235
Patient Characteristics of Children With COVID-19, by Treatment With COVID-19-Directed Therapies (COV-19Tx)
| COV-19Tx (n = 235, 55.4%) | No COV-19Tx (n = 189, 44.6%) | Risk Difference (95% CI) or | |
|---|---|---|---|
| Male | 143 (60.9%) | 100 (52.9%) | 7.9% (−1.5% to 17.4%) |
| Age (years), median (IQR) | 13.3 (5.6, 16.2) | 9.81 (0.7, 15.9) | <.001 |
| Age category (years) | |||
| <1 | 22 (9.4%) | 54 (28.6%) | −19.2% (−26.6% to −11.8%) |
| 1-5 | 38 (16.2%) | 24 (12.7%) | 3.5% (−3.2% to 10.2%) |
| 6-12 | 56 (23.8%) | 40 (21.2%) | 2.7% (−5.3% to 10.6%) |
| 13-17 | 119 (50.6%) | 71 (37.6%) | 13.1% (3.7% to 22.5%) |
| Race/ethnicity | |||
| White, non-Hispanic | 53 (22.6%) | 45 (23.8%) | −1.3% (−9.3% to 6.8%) |
| Black, non-Hispanic | 69 (29.4%) | 52 (27.5%) | 1.8% (−6.8% to 10.5%) |
| Hispanic or Latino | 90 (38.3%) | 69 (36.5%) | 1.8% (−7.5% to 11.0%) |
| Other, non-Hispanic | 17 (7.2%) | 12 (6.3%) | 0.9% (−3.9% to 5.7%) |
| Unknown | 8 (3.4%) | 15 (7.9%) | −4.5% (−9.0% to 0.0%) |
| Insurance status | |||
| Public insurance | 177 (75.3%) | 122 (64.6%) | 10.8% (2.0% to 19.5%) |
| Private insurance | 42 (17.9%) | 50 (26.5%) | −8.6% (−16.6% to −0.6%) |
| Other or unknown | 16 (6.8%) | 17 (9.0%) | −2.2% (−7.4% to 3.0%) |
| Underlying conditions | |||
| At least one underlying condition | 188 (80.0%) | 104 (55.0%) | 25.0% (16.2% to 33.7%) |
| Respiratory | 98 (41.7%) | 45 (23.8%) | 17.9% (9.1% to 26.6%) |
| Cardiovascular | 36 (15.3%) | 16 (8.5%) | 6.9% (0.8% to 12.9%) |
| Neurological/neuromuscular | 72 (30.6%) | 25 (13.2%) | 17.4% (9.8% to 25.0%) |
| Oncologic, immunosuppressive, or rheumatologic/autoimmune | 44 (18.7%) | 10 (5.3%) | 13.4% (7.5% to 19.4%) |
| Hematologic | 19 (8.1%) | 19 (10.1%) | −2.0% (−7.5% to 3.6%) |
| Renal or urologic | 25 (10.6%) | 11 (5.8%) | 4.8% (−0.3% to 10.0%) |
| Gastrointestinal/hepatic | 66 (28.1%) | 27 (14.3%) | 13.8% (6.2% to 21.4%) |
| Endocrine | 41 (17.4%) | 30 (15.9%) | 1.6% (−5.5% to 8.7%) |
| Genetic/metabolic (excluding obesity) | 28 (11.9%) | 13 (6.9%) | 5.0% (−0.5% to 10.5%) |
| Obesity | 68/201 (33.8%) | 20/127 (15.7%) | 18.1% (9.0% to 27.2%) |
Abbreviations: COVID-19, coronavirus disease 2019; IQR, interquartile range.
COVID-19-directed therapies (COV-19Tx): remdesivir, convalescent plasma, hydroxychloroquine, protease inhibitors (lopinavir/ritonavir), azithromycin in combination with other COV-19Tx, and immunomodulatory therapies (ie, interferon α, interferon β1, tocilizumab, siltuximab, anakinra, systemic steroids, tumor necrosis factor α inhibitors, emapalumab, and Janus kinase inhibitors).
Variables where the 95% confidence interval for difference in proportions did not include the null value or was significant at P < .05.
Figure 1.Acute COVID-19 patients by clinical severity∗, grouped by receipt of COVID-19-directed therapies (COV-19Tx) during hospitalization. ∗P values for all clinical severity indicators were <0.001. Abbreviations: COV-19Tx, COVID-19 Treatments; CRP, C-reactive protein; NLR, Neutrophil-to-lymphocyte ratio; PARDS, pediatric acute respiratory distress syndrome; ECMO, extracorporeal membrane oxygenation.
Figure 2.Variability of COVID-19-directed therapies (COV-19Tx) in children and adolescents admitted to the intensive care or step-down unit for acute COVID-19 by month of hospital admission∗. ∗Significant difference (P <0.001) in reduction in treatment use of hydroxychloroquine and increase in remdesivir use from March/April to November/December. Other treatments included protease inhibitors (lopinavir/ritonavir), non-steroid immunomodulatory therapies (interferon α, interferon β1, tocilizumab, siltuximab, anakinra, tumor necrosis factor α inhibitors, emapalumab, and Janus kinase inhibitors).