A study published in Molecular Medicine has identified two vascular transformation biomarkers that distinguished LongCovid patients from acutely ill COVID-19 inpatients and healthy control subjects.
). The common important biomarkers when comparing healthy controls with Long-COVID patients and COVID-19 patients with Long-COVID patients were used to develop a selected biomarker profile.
Receiver operating characteristic curves were conducted on the classification results to determine the sensitivity and specificity of individual molecules for predicting Long-COVID status in comparison to healthy controls and COVID-19 patients. Area-under-the-curve was calculated as an aggregate measure of protein performance across all possible classification thresholds .
A pairwise comparison, using the Euclidian distance, was conducted to determine the similarity between subjects across the selected biomarkers . As such, subjects similar across their selected biomarker profile have a lower Euclidian distance compared to subjects with differing biomarker profiles. The distances were visualized using a heatmap of which the scale was adjusted to counter the extremely large distance outliers which reduce the visibility of the other comparisons.
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