Study identifies renalase as a novel independent predictor of COVID-19-related mortality researchsquare YaleMed MIT DukeMedSchool COVID19 coronavirus covid mortality renalase
By Bhavana KunkalikarMar 2 2023Reviewed by Danielle Ellis, B.Sc. *Important notice: Research Square publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.
Little is known about the depleted markers in SARS-CoV-2 infection or the dynamic behavior of these biomarkers. Renalase, a peptide produced endogenously by the heart, kidney, and endothelium, has prosurvival qualities, such as inhibiting cytokine release in viral infections, such as COVID-19, in mice models.
The team utilized the Department of Medicine COVID Explorer , a group of hospitalized COVID-19 patients, to obtain clinical information from the electronic medical record system, including sociodemographics, vital signs, comorbidities, laboratory measurements, disposition, and procedures throughout the entire hospital stay.
Results From March 2020 to June 2020, a total of 3,450 COVID-19 patients were hospitalized. The study group comprised 473 patients who volunteered for research, were older than 18 years, and submitted sufficient blood samples. Compared to hospitalized patients who were not included, the age and gender distribution of the cohort population were comparable. The whole cohort included 366 surviving patients and 71 fatalities.
According to the XGBoost model, a high BNP marker of heart strain was the most significant predictor of mortality. Patients with the lowest RNLS and the highest BNP quartiles showed significantly greater mortality rates than those with the highest RNLS and the lowest BNP quartiles. At the conclusion of their stay, individuals with high BNP and low renalase reported a higher mortality rate than those with low BNP and high renalase.
In the XGBoost model, the platelet count was also identified as a significant predictor of death. Patients with low renalase levels and low platelet counts revealed the highest mortality rates compared to those with high renalase levels and high platelet counts.
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