Anti-inflammatory therapy for COVID-19: effectiveness and predictors of response

Irina M. Sukhomlinova , Igor G. Bakulin , Maxim Yu. Kabanov

HERALD of North-Western State Medical University named after I.I. Mechnikov ›› 2022, Vol. 14 ›› Issue (1) : 59 -68.

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HERALD of North-Western State Medical University named after I.I. Mechnikov ›› 2022, Vol. 14 ›› Issue (1) : 59 -68. DOI: 10.17816/mechnikov96603
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Anti-inflammatory therapy for COVID-19: effectiveness and predictors of response

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Abstract

BACKGROUND: According to the international guidelines and expert opinions, medicines for the treatment of COVID-19 are prescribed off-label; however, the final decision is made by a physician based on an assessment of the risk/benefit ratio for each patient. Global studies of the efficacy and safety of the use of baricitinib, tocilizumab, olokizumab, dexamethasone in the treatment of COVID-19 are ongoing. There is no information about comparative efficacy of these drugs and on the prognosis of their use in COVID-19.

AIM: To compare the effects of pre-emptive anti-inflammatory therapy (PAT) with tocilizumab, olokizumab, baricitinib, dexamethasone in patients with COVID-19 to identify response predictors and the choice of the most effective treatment.

MATERIALS AND METHODS: A retrospective analysis of 229 cases of severe and moderate course of COVID-19 requiring various types of UPT at the Hospital for War Veterans has been carried out.

RESULTS: In the study of 229 clinical cases of severe COVID-19, it was found that the most significant predictors of the effects of anticytokine therapy include C-reactive protein (CRP), body mass index (BMI), body temperature, saturation level and the need for a certain type of oxygen support at the start of a therapy, platelet count, hematocrit, neutrophil count, and duration of the disease from its onset to development of signs of a cytokine storm. The probability of recovery in the patients with early appointment of UPT increases by 13%; the need for additional oxygen support increases the risk of mortality by 5.3 times as it increases with the transition to each subsequent level; an increase in the level of CRP by 1% increases the unfavorable prognosis; an increase in D-dimer worsens the prognosis by 16%.

CONCLUSION: Based on the statistical data obtained by the method of stepwise regression analysis, was proposed method for predicting the effectiveness of proactive anti-inflammatory therapy in novel coronavirus infections.

Keywords

COVID-19 / community-acquired pneumonia / tocilizumab / baricitinib / dexamethasone / olokizumab / anti-inflammatory therapy / cytokine storm / anti-cytokine therapy / efficacy prediction

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Irina M. Sukhomlinova, Igor G. Bakulin, Maxim Yu. Kabanov. Anti-inflammatory therapy for COVID-19: effectiveness and predictors of response. HERALD of North-Western State Medical University named after I.I. Mechnikov, 2022, 14(1): 59-68 DOI:10.17816/mechnikov96603

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