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School Closures in the United States and Severe Respiratory Illnesses in Children: A Normalized Nationwide Sample.
Rogerson, Colin M; Lin, Anna; Klein, Margaret J; Zee-Cheng, Janine; McCluskey, Casey K; Scanlon, Matthew C; Rotta, Alexandre T; Remy, Kenneth E; Shein, Steven L; Carroll, Christopher L.
  • Rogerson CM; Department of Pediatrics, Indiana University of School of Medicine, Indianapolis, IN.
  • Lin A; Department of Pediatrics, Stanford University, Palo Alto, CA.
  • Klein MJ; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.
  • Zee-Cheng J; Peppermint Pediatrics, Zionsville, IN.
  • McCluskey CK; Department of Pediatrics, West Virginia University School of Medicine, Morgantown, WV.
  • Scanlon MC; Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI.
  • Rotta AT; Department of Pediatrics, Duke University School of Medicine, Durham, NC.
  • Remy KE; Department of Pediatrics, Case Western University School of Medicine, Rainbow Babies and Children's Hospital, Cleveland, OH.
  • Shein SL; Department of Pediatrics, Case Western University School of Medicine, Rainbow Babies and Children's Hospital, Cleveland, OH.
  • Carroll CL; Department of Pediatrics, Connecticut Children's, Hartford, CT.
Pediatr Crit Care Med ; 23(7): 535-543, 2022 07 01.
Article in English | MEDLINE | ID: covidwho-1956633
ABSTRACT

OBJECTIVES:

To determine the association between nationwide school closures and prevalence of common admission diagnoses in the pediatric critical care unit.

DESIGN:

Retrospective cohort study.

SETTING:

National database evaluation using the Virtual Pediatric Systems LLC database. PATIENTS All patients admitted to the PICU in 81 contributing hospitals in the United States. MEASUREMENTS AND MAIN

RESULTS:

Diagnosis categories were determined for all 110,418 patients admitted during the 20-week study period in each year (2018, 2019, and 2020). Admission data were normalized relative to statewide school closure dates for each patient using geographic data. The "before school closure" epoch was defined as 8 weeks prior to school closure, and the "after school closure" epoch was defined as 12 weeks following school closure. For each diagnosis, admission ratios for each study day were calculated by dividing 2020 admissions by 2018-2019 admissions. The 10 most common diagnosis categories were examined. Significant changes in admission ratios were identified for bronchiolitis, pneumonia, and asthma. These changes occurred at 2, 8, and 35 days following school closure, respectively. PICU admissions decreased by 82% for bronchiolitis, 76% for pneumonia, and 76% for asthma. Nonrespiratory diseases such as diabetic ketoacidosis, status epilepticus, traumatic injury, and poisoning/ingestion did not show significant changes following school closure.

CONCLUSIONS:

School closures are associated with a dramatic reduction in the prevalence of severe respiratory disease requiring PICU admission. School closure may be an effective tool to mitigate future pandemics but should be balanced with potential academic, economic, mental health, and social consequences.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / Asthma / Bronchiolitis Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Child / Humans / Infant Country/Region as subject: North America Language: English Journal: Pediatr Crit Care Med Journal subject: Pediatrics / Critical Care Year: 2022 Document Type: Article Affiliation country: PCC.0000000000002967

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / Asthma / Bronchiolitis Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Child / Humans / Infant Country/Region as subject: North America Language: English Journal: Pediatr Crit Care Med Journal subject: Pediatrics / Critical Care Year: 2022 Document Type: Article Affiliation country: PCC.0000000000002967