Purpose: The aim of this study was to evaluate the demographic characteristics, clinical and pathological factors, and the outcome of cancer and COVID-19 patients in Mexico.

Patients And Methods: A prospective, multicentric study was performed through a digital platform to have a national registry of patients with cancer and positive SARS-CoV-2 test results through reverse transcription quantitative polymerase chain reaction (RT-qPCR). We performed the analysis through a multivariate logistic regression model and Cox proportional hazard model.

Results: From May to December 2020, 599 patients were registered with an average age of 56 years with 59.3% female; 27.2% had hypertension. The most frequent diagnoses were breast cancer (30.4%), lymphoma (14.7%), and colorectal cancer (14.0%); 72.1% of patients had active cancer and 23.5% of patients (141/599) were deceased, the majority of which were men (51.7%). This study found that the prognostic factors that reduced the odds of death were gender (OR = 0.42,  = 0.031) and oxygen saturation (OR = 0.90,  = 0.0001); meanwhile, poor ECOG (OR = 5.4,  = 0.0001), active disease (OR = 3.9,  = 0.041), dyspnea (OR = 2.5,  = 0.027), and nausea (OR = 4.0,  = 0.028) increased the odds of death. In the meantime, the factors that reduce survival time were age (HR = 1.36,  = 0.035), COPD (HR = 8.30,  = 0.004), having palliative treatment (HR = 10.70,  = 0.002), and active cancer without treatment (HR = 8.68,  = 0.008).

Conclusion: Mortality in cancer patients with COVID-19 is determined by prognostic factors whose identification is necessary. In our cancer population, we have observed that being female, younger, non-COPD, with non-active cancer, good performance status, and high oxygen levels reduce the probability of death.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481715PMC
http://dx.doi.org/10.1177/20406223211047755DOI Listing

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