| Literature DB >> 32376098 |
Rebecca Cosgriff1, Susannah Ahern2, Scott C Bell3, Keith Brownlee4, Pierre-Régis Burgel5, Cass Byrnes6, Harriet Corvol7, Stephanie Y Cheng8, Alexander Elbert9, Albert Faro9, Christopher H Goss10, Vincent Gulmans11, Bruce C Marshall9, Edward McKone12, Peter G Middleton13, Rasa Ruseckaite2, Anne L Stephenson14, Siobhán B Carr15.
Abstract
Information is lacking on the clinical impact of the novel coronavirus, SARS-CoV-2, on people with cystic fibrosis (CF). Our aim was to characterise SARS-CoV-2 infection in people with cystic fibrosis.Entities:
Keywords: Coronavirus; Cystic fibrosis; SARS-CoV-2
Mesh:
Year: 2020 PMID: 32376098 PMCID: PMC7183287 DOI: 10.1016/j.jcf.2020.04.012
Source DB: PubMed Journal: J Cyst Fibros ISSN: 1569-1993 Impact factor: 5.482
Demographics, clinical attributes and symptom presentation.
| Best FEV1% predicted range | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| ALL ( | <40 ( | 40–70 ( | >70 ( | Post Tx** ( | ||||||
| Median | Range | Median | Range | Median | Range | Median | Range | Median | Range | |
| Age, years | 33 | 15–57 | 28 | 20–58 | 32 | 20–57 | 26 | 15–57 | 40 | 27–49 |
| N | % | N | % | N | % | N | % | N | % | |
| Male | 17 | 43 | 1 | 20 | 5 | 42 | 3 | 27 | 7 | 64 |
| Homozygous F508del | 17 | 43 | 3 | 60 | 3 | 25 | 4 | 36 | 6 | 55 |
| Aged ≥18 years | 38 | 95 | 5 | 100 | 12 | 100 | 10 | 91 | 11 | 100 |
| Aged ≥40 years | 13 | 33 | 2 | 40 | 3 | 25 | 2 | 18 | 6 | 55 |
| Mean | Range | Mean | Range | Mean | Range | Mean | Range | Mean | Range | |
| Best FEV1% pred*** | 70 | 18–114 | 31 | 18–38 | 59 | 40–70 | 89 | 80–106 | 83 | 50–114 |
| Median | Range | Median | Range | Median | Range | Median | Range | Median | Range | |
| BMI, kg/m2 | 22 | 16–34 | 19 | 18–23 | 22.5 | 16–33 | 23 | 20–34 | 21 | 16–24 |
| N | % | N | % | N | % | N | % | N | % | |
| BMI >30 kg/m2 | 2 | 5 | 0 | 0 | 1 | 8 | 1 | 9 | 0 | 0 |
| Chronic PsA | 20 | 50 | 5 | 100 | 6 | 50 | 5 | 45 | 4 | 36 |
| CFRD | 15 | 38 | 1 | 20 | 6 | 50 | 6 | 55 | 2 | 18 |
| CFTR modulatorᵻ | 14 | 35 | 3 | 60 | 5 | 42 | 6 | 55 | 0 | 0 |
| N | % | N | % | N | % | N | % | N | % | |
| Symptomatic | 31 | 78 | 3 | 60 | 9 | 75 | 8 | 73 | 10 | 91 |
| Fever | 24 | 77 | 3 | 100 | 6 | 67 | 6 | 75 | 8 | 80 |
| Dyspnoea | 10 | 32 | 0 | 0 | 1 | 11 | 5 | 63 | 4 | 40 |
| Altered cough | 15 | 48 | 2 | 67 | 5 | 56 | 3 | 38 | 5 | 50 |
Interventions and outcomes.
| No transplant | Post-transplant** | All | ||||
|---|---|---|---|---|---|---|
| % | % | % | ||||
| Interventions | ||||||
| Intensive care (SARS-COV-2 related) | 1 | 3 | 3 | 27 | 4 | 10 |
| New supplemental oxygen | 7 | 24 | 6 | 55 | 13 | 33 |
| Invasive ventilation | 0 | 0 | 1 | 9 | 1 | 3 |
| Outcomes | ||||||
| Clinically recovered | 22 | 76 | 6 | 55 | 28 | 70 |
| Unresolved at time of report | 7 | 24 | 5 | 45 | 12 | 30 |
| Died | 0 | 0 | 0 | 0 | 0 | 0 |
*One patient, who has not received a lung transplant, is not able to perform spirometry testing, so is excluded from the ‘Best FEV1% predicted range’ counts. This patient only appears in the ‘ALL’ counts.
⁎⁎Lung, Lung and Liver or Lung and Kidney (consecutive) transplants (Tx).
⁎⁎⁎Best FEV1% predicted. Countries provided the most recent available pre-infection best FEV1% predicted. Measurements are from 2019 or 2020.
ᵻIvacaftor, lumacaftor/ivacaftor, tezacaftor/ivacaftor, or elaxacaftor/tezacaftor/ivacaftor [9].