Healthcare utilization following SARS-CoV-2 infection in children and adolescents with chronic conditions: An EHR-based Cohort Study from the RECOVER Program

Background Chronic medical conditions are a risk factor for moderate or severe COVID-19 in children, but little is known about post-acute sequelae of SARS-CoV-2 infection (PASC) in children with chronic medical conditions (CMCs). To understand whether SARS-CoV-2 infection led to potential exacerbation of underlying chronic disease in children, we explored whether children with CMCs had increased healthcare utilization in the post-acute (28 days after infection) period compared to children with CMCs without SARS-CoV-2 infection. Methods We conducted a retrospective, matched-cohort study using electronic health record data collected from 8 pediatric health care systems participating in the PEDSnet network. We included children <21 years of age with a wide array of chronic conditions, defined by the presence of diagnostic codes, who were diagnosed with COVID-19 between March 1, 2020 and February 28, 2022. Cohort entry was defined by presence of a positive SARS-CoV-2 PCR test (polymerase chain reaction or antigen) or diagnostic codes for COVID-19, PASC or MIS-C. A comparison cohort of patients testing negative or without these conditions was matched using a stratified propensity score model and exact matching on age group, race/ethnicity, institution, test location, and month of cohort entry. A negative binomial model was used to examine our primary outcome: composite and setting-specific (inpatient, outpatient, ED) utilization rate ratios between the positive and comparison cohorts. Secondary outcomes included time to first utilization in the post-acute period, and utilization stratified by severity at cohort entry. Results We identified 748,692 patients with at least one chronic condition, 78,744 of whom met inclusion criteria for the COVID-19 cohort. 96% of patients from the positive cohort were matched. Cohorts were well-balanced for chronic condition clusters, total number of conditions, time since first diagnosis, baseline utilization, cohort entry period, age, sex, race/ethnicity and test location. We found that among children with chronic medical conditions, those with COVID-19 had higher healthcare utilization than those with no recorded COVID-19 diagnosis or positive test, with utilization rate ratio of 1.21 (95% CI: 1.18-1.24). The utilization was highest for inpatient care with utilization rate ratio of 2.03 (95% CI: 1.85-2.23) but the utilization was increased across all settings. Hazard ratios estimated in time-to-first-utilization analysis mirrored these results. Patients with severe or moderate acute COVID-19 illness had greater increases in utilization in all settings than those with mild or asymptomatic disease. Conclusions We found that care utilization in all settings was increased following COVID-19 in children with chronic medical conditions in the post-acute period, particularly in the inpatient setting. Increased utilization was correlated with more severe COVID-19. Additional research is needed to better understand the reasons for higher care utilization by studying condition-specific outcomes in children with chronic disease.

[1]  C. Forrest,et al.  Clinical features and burden of post-acute sequelae of SARS-CoV-2 infection in children and adolescents: an exploratory EHR-based cohort study from the RECOVER program , 2022, medRxiv.

[2]  Evanette K. Burrows,et al.  Severity of Acute COVID-19 in Children <18 Years Old March 2020 to December 2021. , 2022, Pediatrics.

[3]  A. Boner,et al.  Long-term outcomes of pediatric infections: from traditional infectious diseases to long covid , 2022, Future microbiology.

[4]  S. Johnston,et al.  Impact of COVID-19 on people with asthma: a mixed methods analysis from a UK wide survey , 2021, BMJ Open Respiratory Research.

[5]  E. Forno,et al.  Asthma as a risk factor for hospitalization in children with COVID‐19: A nested case‐control study , 2021, Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology.

[6]  P. Zachariah,et al.  Severe respiratory viral infections in children with history of asymptomatic or mild COVID‐19 , 2021, Pediatric pulmonology.

[7]  L. Denlinger,et al.  COVID-19 Infections and Asthma , 2021, The Journal of Allergy and Clinical Immunology: In Practice.

[8]  J. Wedzicha,et al.  Asthma Phenotypes and COVID-19 Risk: A Population-based Observational Study , 2021, American journal of respiratory and critical care medicine.

[9]  D. Maahs,et al.  Age and Hospitalization Risk in People With Type 1 Diabetes and COVID-19: Data From the T1D Exchange Surveillance Study , 2021, The Journal of clinical endocrinology and metabolism.

[10]  B. Elbel,et al.  Age‐dependent association of obesity with COVID‐19 severity in paediatric patients , 2021, Pediatric obesity.

[11]  S. McGrath-Morrow,et al.  Protracted respiratory findings in children post‐SARS‐CoV‐2 infection , 2021, Pediatric pulmonology.

[12]  C. Jenkins,et al.  Asthma and Coronavirus Disease 2019 Risk: a systematic review and meta-analysis. , 2021, The European respiratory journal.

[13]  J. Hippisley-Cox,et al.  Sickle Cell Disorders and Severe COVID-19 Outcomes: A Cohort Study , 2021, Annals of Internal Medicine.

[14]  P. Simpson,et al.  Comorbidities are risk factors for hospitalization and serious COVID-19 illness in children and adults with sickle cell disease , 2021, Blood Advances.

[15]  Karen K. Wong,et al.  Underlying Medical Conditions Associated With Severe COVID-19 Illness Among Children , 2021, JAMA network open.

[16]  S. La Grutta,et al.  An Overview of Asthma and COVID-19: Protective Factors Against SARS-COV-2 in Pediatric Patients , 2021, Frontiers in Pediatrics.

[17]  W. Niu,et al.  Risk profiles of severe illness in children with COVID-19: a meta-analysis of individual patients , 2021, Pediatric Research.

[18]  T. Nickolas,et al.  Diabetic ketoacidosis and mortality in COVID-19 infection , 2021, Diabetes & Metabolism.

[19]  S. Dominguez,et al.  Risk Factors for Severe COVID-19 in Children. , 2021, The Pediatric infectious disease journal.

[20]  T. Behl,et al.  A review on the effect of COVID-19 in type 2 asthma and its management , 2020, International Immunopharmacology.

[21]  I. Hirsch,et al.  Inequities in Diabetic Ketoacidosis Among Patients With Type 1 Diabetes and COVID-19: Data From 52 US Clinical Centers , 2020, The Journal of clinical endocrinology and metabolism.

[22]  Z. Rahimi,et al.  Sickle cell disease and COVID‐19: Susceptibility and severity , 2020, Pediatric blood & cancer.

[23]  R. Hendriks,et al.  Asthma exacerbation prevalence during the COVID-19 lockdown in a moderate-severe asthma cohort , 2020, BMJ Open Respiratory Research.

[24]  R. Regacini,et al.  Acute chest syndrome and COVID-19 in sickle cell disease pediatric patients , 2020, Hematology, Transfusion and Cell Therapy.

[25]  S. Loggetto,et al.  Hemoglobinopathy and pediatrics in the time of COVID-19 , 2020, Hematology, Transfusion and Cell Therapy.

[26]  J. Allaire,et al.  Severe COVID-19 Infection and Pediatric Comorbidities: A Systematic Review and Meta-Analysis , 2020, International Journal of Infectious Diseases.

[27]  J. Lipton,et al.  Varying presentations and favourable outcomes of COVID‐19 infection in children and young adults with sickle cell disease: an additional case series with comparisons to published cases , 2020, British journal of haematology.

[28]  M. Auerbach,et al.  Emergency Care for Children in the United States: Epidemiology and Trends Over Time. , 2018, The Journal of emergency medicine.

[29]  T. Simon,et al.  Development and Validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0. , 2018, Academic pediatrics.

[30]  Keith Marsolo,et al.  PEDSnet: a National Pediatric Learning Health System , 2014, J. Am. Medical Informatics Assoc..

[31]  Elizabeth A Stuart,et al.  Matching methods for causal inference: A review and a look forward. , 2010, Statistical science : a review journal of the Institute of Mathematical Statistics.