Difference in mortality rates in hospitalized COVID-19 patients identified by cytokine profile clustering using a machine learning approach: An outcome prediction alternative.

COVID-19 is a disease caused by the novel Coronavirus SARS-CoV-2 causing an acute respiratory disease that can eventually lead to severe acute respiratory syndrome (SARS). An exacerbated inflammatory response is characteristic of SARS-CoV-2 infection, which leads to a cytokine release syndrome also known as cytokine storm associated with the severity of the disease. Considering the importance of this event in the immunopathology of COVID-19, this study analyses cytokine levels of hospitalized patients to identify cytokine profiles associated with severity and mortality. Using a machine learning approach, 3 clusters of COVID-19 hospitalized patients were created based on their cytokine profile. Significant differences in the mortality rate were found among the clusters, associated to different CXCL10/IL-38 ratio. The balance of a CXCL10 induced inflammation with an appropriate immune regulation mediated by the anti-inflammatory cytokine IL-38 appears to generate the adequate immune context to overrule SARS-CoV-2 infection without creating a harmful inflammatory reaction. This study supports the concept that analyzing a single cytokine is insufficient to determine the outcome of a complex disease such as COVID-19, and different strategies incorporating bioinformatic analyses considering a broader immune profile represent a more robust alternative to predict the outcome of hospitalized patients with SARS-CoV-2 infection.

Contact dermatitis: Clinical practice findings from a single tertiary referral hospital, a 4-Year retrospective study.

BACKGROUND: It is estimated that 20% of the general population is sensitized to some kind of contact allergen. Contact dermatitis is one of the major occupational diseases worldwide. This disease has a higher prevalence in the female gender and is more frequently observed in the third or fourth decade of life. The main objective of this study was to describe the main sociodemographic and clinical characteristics of patients with contact dermatitis treated in the Allergy Unit of the San Juan De Dios Hospital - Caja Costarricense de Seguro Social. METHODS: Clinical records of contact dermatitis outpatients from a single hospital were analyzed, in a 4-year retrospective observational study. RESULTS: At the time of the patch testing, patients showed a mean age of 42.2 years. Disease frequency was higher in the female population (female/male ratio of 4.2:1) and in patients mostly dedicated to household workchores. Most patients presented several years of disease history, and the hands were the highest affected body part. Patch testing revealed that nickel sulfate, Cl+Me-Isothiazolinone (Kathon CG), and thimerosal were allergens regularly associated with contact dermatitis in the analyzed population. CONCLUSIONS: To a great extent, sociodemographic and clinical characteristics identified in these patients resemble what is reported in other regions, including the Americas and worldwide. It is worth highlighting a high female proportion rate probably related to cultural aspects, a smaller percentage of irritant contact dermatitis that may be associated to institutional patient management, and a slight difference in the most common allergens when compared to other published studies.