AI Article Synopsis

  • The study investigated the relationship between inflammatory markers and the severity of COVID-19 in cancer patients, focusing on 83 hospitalized individuals.
  • It found that most patients suffered from moderate disease, resulting in a notable 25% mortality rate, with lung cancer being the most common type of cancer among them.
  • Key inflammatory markers like ferritin and fibrinogen were strongly linked to disease severity and higher mortality, suggesting they could be significant predictors for poor COVID-19 outcomes in these patients.

Article Abstract

Background: The correlation of the inflammatory profile with the severity of the disease in neoplastic patients with SARS-CoV-2 infection was addressed.

Methods: A database of 1537 patients hospitalized in the pneumology department was analyzed. After applying the inclusion and exclusion criteria, 83 patients (67% males, 33% females) were included.

Results: Most of the analyzed patients were hospitalized with a moderate form of disease, explaining the significant percentage of 25% mortality. The frequency of the type of neoplasm was higher for lung cancer, followed by malignant colon tumor. We identified a significant association between the increased value of ferritin ( < 0.0001, OR = 22.31), fibrinogen ( = 0.009, OR = 13.41), and C-reactive protein ( = 0.01, OR = 7.65), respectively, and the level of severity of COVID-19. The results of the univariate logistic regression analysis for predicting the severity of the disease revealed that the increased values of ferritin ( = 0.001, OR = 22.31) and fibrinogen ( = 0.02, OR = 13.41) represent a risk for a serious negative prognosis of COVID-19.

Conclusions: Our study demonstrated that the value of the analyzed inflammatory parameters increased in direct proportion to the severity of the disease and that higher values were associated with increased mortality in the study group.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455536PMC
http://dx.doi.org/10.3390/jpm13081235DOI Listing

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