COVID-19 PATIENT STRATIFICATION: AN APPROACH THROUGH THE PLASMA PEPTIDOME USING THE MALDI-TOF-MS TECHNOLOGY

MARÍA BELÉN BIANCO; LAUTARO MACEIRA; CHRISTIAN BALLEJO; ANDREA SILVA; MARÍA FLORENCIATODERO; CARLOS VAY; NOEMI YOKOBORI; BEATRIZ LÓPEZ; IRENE PAGANO; JAVIER FARINA; BÁRBARA REARTE

CABA

Congreso; Reunión Conjunta SAIC. SAI. AAFE. NANOMED-AR; 2021

The COVID-19 presents a dynamic nature with very differentiated pathophysiological phases could culminate in sepsis. However, clinically, it’s difficult to define what stage the patient, or detect those patients with an advanced risk of progressing to severe sepsis. Our aim was to investigate the usefulness of plasma peptidome fingerprints as instrument for stratification of patients with COVID-19 using MALDI-TOF technology. In this cut of the project, as a result of the monitoring of 7 patients admitted to the Hospital de Cuenca Alta Nestor Kirchner -July and September 2021- 46 plasma samples were included. These were divided into hospitalization (H) (n = 27) and UCI (n = 19), classification used as severity proxy. Supervised analyzes and machine learning algorithms were performed to discriminate between the classification stages in patients. Also, clinical and biochemical parameters were also evaluated. Peripheral blood leukocytes count was increased in patients during stay UCI associated to neutrophilia on the 5 day (Neutrophils/ml (median (IQR)): UCI=14027 (13892-18090) *; H=8954 (3998-10250); *p