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Risk factors for severe COVID-19 in people with cystic fibrosis: A systematic review
Frontiers in pediatrics ; 10, 2022.
Article in English | EuropePMC | ID: covidwho-1999512
ABSTRACT
Background People with cystic fibrosis (CF) are considered a clinically fragile population with an intrinsic higher risk of developing severe COVID-19, though a certain variability in terms of outcomes and hospitalization has been noticed. Aim To highlight the main risk factors for severe COVID-19 in patients with CF. Methods A systematic review of the current literature was conducted through PubMed and EMBASE databases. English-written articles reporting clinical data on CF subjects with SARS-CoV2 infection were included and analyzed. Selected reports were evaluated for adherence to STROBE recommendations. Results After the selection phase, 9 observational studies were included, 5 of which reported data from CF Registry Global Harmonization Group. The hospitalization rate ranged from 18.2 to 58.1%. The main risk factors for severe outcome were as follows FEV1 < 70%p, CF-related diabetes, age > 40 years, pancreatic insufficiency, underweight, previous transplant, azithromycin use. Use of dornase alfa was associated with decreased risk for severe disease, while there was insufficient evidence to establish the role of inhaled steroids or CFTR modulators. No solid data regarding specific SARS-CoV-2 therapies in patients with CF emerged. Conclusion Most people with CF experience a mild course of SARS-CoV-2 infection, nevertheless subgroups with higher risk of severe outcome emerged. Maintenance therapies for CF overall did not show a clear preventive effect against severe outcomes, although dornase alfa seems to give some protection. Due to the current lack of data on specific COVID-19 therapies and immunization in patients with CF, further studies are needed to establish their impact in this population.
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Collection: Databases of international organizations Database: EuropePMC Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: Frontiers in pediatrics Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EuropePMC Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: Frontiers in pediatrics Year: 2022 Document Type: Article