Prognostic factors registered on admission to the hospital related to mortality risk in cancer patients with COVID-19: a retrospective cohort study (preprint)

Background: Cancer patients are a particularly vulnerable risk group of the severe course of COVID-19 due to, i.e. suppression of the immune system. The study aimed to find links between parameters registered on admission to the hospital, and the risk of latter death in oncology patients with COVID-19. Design: Retrospective cohort study. Methods: The study included patients with a reported history of malignant tumor (N=151) and the control group with no history of cancer (N=151) hospitalized due to COVID-19 between March 2020 and August 2021. The variables registered on admission were divided into categories for which we calculated the multivariate Cox proportional hazards models. Results: The median age of the study group was 68 years (min-max: 17-95). 50.33% (76/151) were women. Multivariate Cox proportional hazards models were successfully obtained for the following categories: Patient data, Comorbidities, Signs recorded on admission, Medications used before hospitalization and Laboratory results recorded on admission. With the models developed for oncology patients, we identified the following variables that registered on patients’ admission were linked to significantly increased risk of death: male sex, presence of metastases in neoplastic disease, impaired consciousness (somnolence or confusion), wheezes/rhonchi, the levels of white blood cells and neutrophiles. Conclusion: Identifying the predictors of a poorer prognosis may serve clinicians in better tailoring treatment among cancer patients with COVID-19. Our results can help develop prognostic models or compare the results of other studies, which will translate into better treatment management and better prognosis in this group of patients.

Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a cohort study (preprint)

Background The SARS CoV-2 pandemic remains a worldwide challenge. The CRIT Cov U pilot study generated a urinary proteomic biomarker consisting of 50 peptides (COV50), which predicted death and disease progression. Following the interim analysis demanded by the German government, the full dataset was analysed to consolidate findings and propose clinical applications. Methods In eight European countries, 1012 adults with PCR-confirmed COVID-19 were followed up for death and progression along the 8 point WHO scale. Capillary electrophoresis coupled with mass spectrometry was used for urinary proteomic profiling. Statistical methods included logistic regression, receiver operating curve analysis with comparison of the area under curve (AUC) between nested models. Hospitalisation costs were derived from the care facility corresponding with the Markov chain probability of reaching WHO scores ranging from 3 to 8 and flat-rate hospitalistion costs standardised across countries. Findings The entry WHO scores were 1-3, 4-5 and 6 in 445 (44,0%), 529 (52,3%), and 38 (3,8%) patients, of whom 119 died and 271 progressed. The standardised odds ratios associated with COV50 for death were 2,44 (95% CI, 2,05-2,92) unadjusted and 1,67 (1,34-2,07) if adjusted for sex, age, body mass index, comorbidities and baseline WHO score, and 1,79 (1,60-2,01) and 1,63 (1,40-1,90), respectively, for disease progression (p<0,0001 for all). The predictive accuracy of optimised COV50 thresholds were 74,4% (95% CI, 71,6-77,1) for mortality (threshold 0,47) and 67,4% (64,1-70,3) for disease progression (threshold 0,04). On top of covariables and the baseline WHO score, these thresholds improved AUCs from 0,835 to 0,853 (p=0,0331) and from 0,697 to 0,730 (p=0,0008) for death and progression, respectively. Of 196 ambulatory patients, 194 (99,0%) did not reach the 0,04 threshold. Earlier intervention guided by high-risk COV50 levels should reduce hospital days with cost reductions expressed per 1000 patient-days ranging from MEuro 1,208 (95% percentile interval, 1,035-1,406) at low risk (COV50 <0,04) to MEuro 4,503 (4,107-4,864) at high risk (COV50 above 0,04 and age above 65 years). Interpretation The urinary proteomic COV50 marker is accurate in predicting adverse COVID-19 outcomes. Even in mild-to-moderate PCR-confirmed infections (WHO scores 1-5), the 0,04 threshold justifies earlier drug treatment, thereby reducing hospitalisation days and costs.