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Examination of Early CNS Symptoms and Severe Coronavirus Disease 2019: A Multicenter Observational Case Series.
Marra, David E; Busl, Katharina M; Robinson, Christopher P; Bruzzone, Maria J; Miller, Amber H; Chen, Zhaoyi; Guo, Yi; Lyu, Tianchen; Bian, Jiang; Smith, Glenn E.
  • Marra DE; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL.
  • Busl KM; Department of Neurology, UF College of Medicine, University of Florida, Gainesville, FL.
  • Robinson CP; Department of Neurosurgery, UF College of Medicine, University of Florida, Gainesville, FL.
  • Bruzzone MJ; Department of Neurology, UF College of Medicine, University of Florida, Gainesville, FL.
  • Miller AH; Department of Neurosurgery, UF College of Medicine, University of Florida, Gainesville, FL.
  • Chen Z; Department of Neurology, UF College of Medicine, University of Florida, Gainesville, FL.
  • Guo Y; Department of Neurology, UF College of Medicine, University of Florida, Gainesville, FL.
  • Lyu T; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
  • Bian J; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
  • Smith GE; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
Crit Care Explor ; 3(6): e0456, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1270759
ABSTRACT
To determine if early CNS symptoms are associated with severe coronavirus disease 2019.

DESIGN:

A retrospective, observational case series study design.

SETTING:

Electronic health records were reviewed for patients from five healthcare systems across the state of Florida, United States. PATIENTS A clinical sample (n = 36,615) of patients with confirmed diagnosis of coronavirus disease 2019 were included. Twelve percent (n = 4,417) of the sample developed severe coronavirus disease 2019, defined as requiring critical care, mechanical ventilation, or diagnosis of acute respiratory distress syndrome, sepsis, or severe inflammatory response syndrome.

INTERVENTIONS:

None. MEASUREMENT AND MAIN

RESULTS:

We reviewed the electronic health record for diagnosis of early CNS symptoms (encephalopathy, headache, ageusia, anosmia, dizziness, acute cerebrovascular disease) between 14 days before the diagnosis of coronavirus disease 2019 and 8 days after the diagnosis of coronavirus disease 2019, or before the date of severe coronavirus disease 2019 diagnosis, whichever came first. Hierarchal logistic regression models were used to examine the odds of developing severe coronavirus disease 2019 based on diagnosis of early CNS symptoms. Severe coronavirus disease 2019 patients were significantly more likely to have early CNS symptoms (32.8%) compared with nonsevere patients (6.11%; χ2[1] = 3,266.08, p < 0.0001, φ = 0.29). After adjusting for demographic variables and pertinent comorbidities, early CNS symptoms were significantly associated with severe coronavirus disease 2019 (odds ratio = 3.21). Diagnosis of encephalopathy (odds ratio = 14.38) was associated with greater odds of severe coronavirus disease 2019; whereas diagnosis of anosmia (odds ratio = 0.45), ageusia (odds ratio = 0.46), and headache (odds ratio = 0.63) were associated with reduced odds of severe coronavirus disease 2019.

CONCLUSIONS:

Early CNS symptoms, and specifically encephalopathy, are differentially associated with risk of severe coronavirus disease 2019 and may serve as an early marker for differences in clinical disease course. Therapies for early coronavirus disease 2019 are scarce, and further identification of subgroups at risk may help to advance understanding of the severity trajectories and enable focused treatment.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Crit Care Explor Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Crit Care Explor Year: 2021 Document Type: Article