Abstract
Objectives: Early and simple detection of high-risk groups is crucial for minimizing severe coronavirus disease 2019 (COVID-19)-related deaths. Soluble interleukin 2 receptors (sIL2R) have been suspected as being prognostic markers for infectious diseases. This study validated the usefulness of sIL2R as a marker for deaths related to COVID-19.
Methods: This retrospective observational study enrolled participants who showed positive results for severe acute respiratory syndrome coronavirus 2 RNA admitted to the current hospital between 01 April and 30 September 2020. Of the 102 patients enrolled in this study, sIL2R levels were measured in 87 patients. For comparisons between survival and non-survival groups, potential confounding variables were entered into univariate models, and variables showing significant correlations (p < 0.05) in those models were added to a multivariate model.
Results: Being aged ≥60 years and sIL2R levels ≥1060 U/ml were significantly associated with mortality on univariate analyses; only sIL2R levels significantly correlated with mortality on multivariate logistic regression analysis. Further, sequential sIL2R levels in three patients were increased at progression or death.
Conclusion: SIL2R on admission and sequential monitoring of sIL2R might reflect disease severity.
Keywords: COVID-19; Outcome; Predictor; SIL2 receptor.
【저자키워드】 COVID-19, outcome, predictor, SIL2 receptor., 【초록키워드】 coronavirus disease, Coronavirus disease 2019, coronavirus, Infectious diseases, Diseases, Mortality, disease severity, hospital, Prognostic markers, progression, severe acute respiratory syndrome Coronavirus, observational study, RNA, survival, comparison, Patient, death, Prognostic marker, receptor, respiratory, correlation, group, Admission, patients, marker, retrospective, Analysis, deaths, on admission, confounding variables, acute respiratory syndrome, confounding variable, acute respiratory syndrome coronavirus, acute respiratory syndrome coronavirus 2, severe coronavirus disease, positive result, multivariate logistic regression, multivariate model, Comparisons, participant, multivariate logistic regression analysis, U/mL, being, variable, interleukin 2, enrolled, significantly, added, correlated, groups, were measured, 【제목키워드】 Mortality, Admission,