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Bamlanivimab and Etesevimab administered in an outpatient setting for SARS-CoV-2 infection.
- Source :
- Pathogens & Global Health; Jul2022, Vol. 116 Issue 5, p297-304, 8p
- Publication Year :
- 2022
-
Abstract
- The early administration of anti-SARS-CoV-2 monoclonal antibodies (mAb) could decrease the risk of severe disease and the need of inpatients care. Herein, our clinical experience with Bamlanivimab/Etesevimab for the treatment of early SARS-CoV-2 infection through an outpatient service was described. Patients with confirmed COVID-19 were selected by General Practitioners (GPs) if eligible to mAb administration, according to manufacturer and AIFA (Agenzia-Italiana-del-Farmaco) criteria. If suitability was confirmed by the Multidisciplinary Team, the patient was evaluated within the next 48–72 hours. Then, all patients underwent a medical evaluation, followed by mAb infusion or hospitalization if the medical condition had worsened. Overall, from March 29th to June 4th, 2021, 106 patients with confirmed COVID-19 were identified by GPs; 26 were considered not eligible and then excluded, while 9 refused treatment. Among the 71 remaining, 6 were not treated because of worsening of symptoms soon after selection. Finally, 65 received mAb therapy. All treated patients survived. However, 2/65 developed adverse events (allergic reaction and atrial fibrillation, respectively) and 6/65 needed hospitalization. By performing univariate logistic regression analysis, diabetes was the only risk factor for hospitalization after mAb administration [aOR = 9.34, 95%CI = 1.31–66.49, p=.026]. Importantly, subjects who worsened awaiting mAb were more frequently obese (OR = 16.66, 95%CI = 1.80–153.9, p=.013) and received home corticosteroid therapy for COVID-19 (OR = 14.11, 95%CI = 1.53–129.6, p=.019). Establishing a network among GPs and COVID units could be an effective strategy to provide mAb treatment to patients with early SARS-CoV-2 infection to reduce hospitalizations and pressure on healthcare systems. [ABSTRACT FROM AUTHOR]
- Subjects :
- SARS-CoV-2
COVID-19
INPATIENT care
LOGISTIC regression analysis
COVID-19 treatment
Subjects
Details
- Language :
- English
- ISSN :
- 20477724
- Volume :
- 116
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Pathogens & Global Health
- Publication Type :
- Academic Journal
- Accession number :
- 157747933
- Full Text :
- https://doi.org/10.1080/20477724.2021.2024030