| Literature DB >> 34697787 |
Anna Linehan1,2, Orla Fitzpatrick1,2, Darren Cowzer1,2, Maeve A Hennessy1,2, Zac L Coyne1,2, Amy Nolan1,2, Maeve Clarke1,2, Roisin Ni Dhonaill1,2, Bryan T Hennessy1,2, Patrick G Morris1,2, Liam Grogan1,2, Oscar Breathnach1,2.
Abstract
BACKGROUND: The COVID-19 pandemic has impacted significantly on healthcare across the globe. It has been reported to have higher incidence and be associated with worse outcomes in patients with cancer. AIM: To examine the characteristics of patients with cancer who were diagnosed with COVID-19 and to identify factors which may predict a poorer outcome.Entities:
Keywords: COVID-19; Cancer; Chemotherapy; Malignancy; Mortality; SARS CoV-2
Mesh:
Year: 2021 PMID: 34697787 PMCID: PMC8545357 DOI: 10.1007/s11845-021-02815-9
Source DB: PubMed Journal: Ir J Med Sci ISSN: 0021-1265 Impact factor: 2.089
Fig. 1Breakdown of patients attending oncology services who were diagnosed with COVID-19 based on RT-PCR
Characteristics of patients attending cancer services diagnosed with COVID-19
| 62 (38–81) | 65 (38–81) | 61 (38–77) | NA | ||
| 0.004(1), 0.95 | NA | ||||
| 16 (59%) | 6 (60%) | 10 (59%) | |||
| 11 (41%) | 4 (40%) | 7 (41%) | |||
| 14.2(6), 0.27 | NA | ||||
| 8 (30%) | 1 (10%) | 7 (41%) | |||
| 7 (26%) | 6 (60%) | 1 (6%) | |||
| 4 (15%) | 1 (10%) | 3 (18%) | |||
| 3 (11%) | 0 (0%) | 3 (18%) | |||
| 2 (7%) | 0 (0%) | 2 (11%) | |||
| 1 (4%) | 1 (10%) | 0 (0%) | |||
| 2 (7%) | 1 (10%) | 1 (6%) | |||
| 5.62(2), 0.06 | NA | ||||
| 17 (63%) | 9 (90%) | 8 (47%) | |||
| 4 (15%) | 1 (10%) | 3 (18%) | |||
| 6 (22%) | 0 (0%) | 6 (35%) | |||
| 2.6 (2.2) | 3.9 (2.3) | 1.9 (1.7) | NA | ||
| NA | |||||
| 1 (4%) | 0 (0%) | 1 (6%) | |||
| 8 (30%) | 0 (0%) | 8 (47%) | |||
| 9 (33%) | 1 (10%) | 8 (47%) | |||
| 8 (30%) | 8 (80%) | 0 (0%) | |||
| 1 (4%) | 1 (10%) | 0 (0%) | |||
| 5.62(3), 0.13 | NA | ||||
| 19 (70%) | 5 (50%) | 14 (82%) | |||
| 2 (7%) | 1 (10%) | 1 (6%) | |||
| 1 (4%) | 0 (0%) | 1 (6%) | |||
| 5 (19%) | 4 (40%) | 1 (6%) |
Association between categorical variables was determined using chi-square analysis. Difference between means was determined using independent variable t-test
CNS central nervous system, DF degrees of freedom, ECOG PS Eastern Cooperative Group Performance Status, SD standard deviation
Fig. 2Performance status (PS) of patients that contracted COVID-19 and died compared with those who recovered
Fig. 3Palliative Prognostic Scores (PAP) for patients with active cancer who contracted COVID-19. The mean PAP score for those that died was significantly higher than for those that survived (9.6 vs. 1.5, p < 0.001). *** denotes statistical significance