Article ; Online: Severe COVID-19 in Hospitalized Carriers of Single CFTR Pathogenic Variants
Journal of Personalized Medicine, Vol 11, Iss 558, p
2021 Volume 558
Abstract: ... progression. Given that carriers of single cystic fibrosis (CF)-causing variants of the CFTR gene—CF-carriers ... of undergoing severe COVID-19. We implemented a cohort study of 874 individuals diagnosed with COVID-19, during ... The clinical presentation of COVID-19 is extremely heterogeneous, ranging from asymptomatic ...
| Abstract | The clinical presentation of COVID-19 is extremely heterogeneous, ranging from asymptomatic to severely ill patients. Thus, host genetic factors may be involved in determining disease presentation and progression. Given that carriers of single cystic fibrosis (CF)-causing variants of the CFTR gene—CF-carriers—are more susceptible to respiratory tract infections, our aim was to determine their likelihood of undergoing severe COVID-19. We implemented a cohort study of 874 individuals diagnosed with COVID-19, during the first pandemic wave in Italy. Whole exome sequencing was performed and validated CF-causing variants were identified. Forty subjects (16 females and 24 males) were found to be CF-carriers. Among mechanically ventilated patients, CF-carriers were more represented (8.7%) and they were significantly ( p < 0.05) younger (mean age 51 years) compared to noncarriers (mean age 61.42 years). Furthermore, in the whole cohort, the age of male CF-carriers was lower, compared to noncarriers ( p < 0.05). CF-carriers had a relative risk of presenting an abnormal inflammatory response (CRP ≥ 20 mg/dL) of 1.69 ( p < 0.05) and their hazard ratio of death at day 14 was 3.10 ( p < 0.05) in a multivariate regression model, adjusted for age, sex and comorbidities. In conclusion, CF-carriers are more susceptible to the severe form of COVID-19, showing also higher risk of 14-day death. |
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| Keywords | CF carrier screening ; host genetics ; COVID-19 ; CFTR ; Medicine ; R |
| Subject code | 610 |
| Language | English |
| Publishing date | 2021-06-01T00:00:00Z |
| Publisher | MDPI AG |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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