Вестник анестезиологии и реаниматологии (Dec 2020)
The informative value of proadrenomedullin in patients with severe COVID-19
Abstract
Subjects and methods. The retrospective study included 37 patients (n = 37) diagnosed with severe viral pneumonia (SARS-CoV2) who were treated in the intensive care unit of Pavlov First Saint Petersburg State Medical University. To assess the significance of PADM as a biomarker of bacterial infection, patients were divided into two groups: the group of patients with viral pneumonia without sepsis (n = 24) and the group of those who developed sepsis and septic shock complicating the course of the new coronavirus infection (n = 13). PADM was assessed as a criterion for the severity of the disease in the groups of deceased (n = 19) and survivors (n = 18). Data were statistically processed in the computer mathematics system R, version 3.6.2, the prognostic significance of PADM was assessed using linear regression.Results. The median PADM in the group without sepsis was higher than the reference value – 1.1 (0.5; 4.3) nmol/L, in patients with sepsis that complicated the course of viral pneumonia – 2.8 (1.1; 5.7) nmol/L (p = 0.0019). Significant differences were revealed between the baseline levels of PADM in patients with different outcomes: in the surviving group, the median was 0.99 (0.5; 3.14) nmol/L, and in the group of deceased – 2.70 (0.94; 5.86 ) nmol/L. In surviving patients, the changes in PADM levels had a linear distribution throughout the entire period of stay in the intensive care unit. In deceased patients, within 20 days before death, PADM tended to grow significantly and reached its maximum by the time of the outcome.Conclusion. The assessment of the PADM blood level can be used to clarify the addition of a bacterial infection in patients with pneumonia caused by the SARS-CoV2 virus. The study of changes in its level makes it possible to objectify the prediction of the course of COVID-19 – favorable or unfavorable. Data accumulation is required to clarify specific PADM values that predict the outcome in COVID-19 patients.
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