CLUSTER ANALYSIS IDENTIFIES LONG COVID SUBTYPES IN BELGIAN PATIENTS (preprint)

ABSTRACT

SARS CoV-2 infection presents complications known as long Covid, a multisystemic organ disease which allow multidimensional analysis. ObjectivesThis study aims to identify Long Covid clusters and to relate them to the clinical classification devised at the Clinical Research Unit of Brugmann University Hospital, Brussels. MethodA two-stage multidimensional exploratory analysis was performed on a cohort of 205 long Covid patients, involving a Factorial Analysis of Mixed Data (FAMD), and then Hierarchical Clustering Post Component Analysis (HCPC). ResultsThe studys sample comprised 76% women, with an average age of 44.5 years. Three clinical forms were identified long, persistent, and post-viral syndrome. Multidimensional analysis identified three clusters cluster 1 (myalgia-like pain) associated with the persistent clinical form; cluster 2 (neurocognitive disorders) linked to the long clinical form; cluster 3 (neurocognitive disorders, anxio-depressive syndrome, joint pain and myalgia, peripheral nervous system disorders with dysautonomia, including Postural Orthostatic Tachycardia Syndrome, along with digestive system disorders). However, biological data did not provide sufficient differentiation between the clusters. ConclusionLong Covid phenotypes, as well as clinical forms, appear to be associated with distinct pathophysiological mechanisms or genetic predisposition, warranting further investigation.