6 research outputs found

    Нозокомиальная инфСкция Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с тяТСлым ΠΈ ΠΊΡ€Π°ΠΉΠ½Π΅ тяТСлым Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ COVID-19

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    The aim of the study was to determine the etiology and frequency of nosocomial infections in patients with severe and critical COVID-19.Material and methods. A retrospective, single-center study included 168 patients with COVID-19 admitted to the intensive care unit (ICU). All episodes of infection, clinical and laboratory characteristics, and outcome were documented in patients.Results. Hospital-acquired infections were detected in 82 (48.8%) of 168 patients, more frequently in men (p = 0.028).Β  A total of 232 episodes of nosocomial infections were observed including ventilator-associated pneumonia (48.2%), bloodstream infection (39.2%), nosocomial pneumonia/tracheobronchitis (13.4%), and urinary tract infection (5.2%). The main causative agents of nosocomial infections were resistant strains of Acinetobacter baumannii and Klebsiella pneumoniae. Infections developed on the average on day 6 [3; 9] of ICU stay and were associated with the initial severity of the patients assessed by SOFA (p=0.016), SpO2 (p=0.005), lymphopenia severity (p=0.003), Neutrophil-Lymphocyte Ratio (p=0.004), C-reactive protein (p=0.01), aspartate aminotransferase (AST) level (p=0.022), or vitamin D (p=0.035) levels. Patients diagnosed with infection were more likely than those without infections to require mechanical ventilation (67.6% vs 32.4%, p < 0.001), high-flow oxygen therapy (50.0% vs 31.0%, p = 0.020), renal replacement therapy (36.8% vs 9.3%, p = 0.003), and had longer ICU length of stay (13 [9; 18] vs 4 [2; 8], p < 0.001), hospital length of stay (19 [14; 29] vs 15 [11; 20], p = 0.001) and mortality (47 (57.3%) vs 25 (29.0%), p < 0.001).Conclusion. In patients with severe and critical COVID-19 a high incidence of nosocomial infections was found, which negatively affected the outcome. In more than half of the cases, the infection was caused by resistant strains of Gram-negative bacilli. Procalcitonin is a useful biomarker for identifying bacterial infection in patients with COVID-19.ЦСль исслСдования. ΠžΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ ΡΡ‚ΠΈΠΎΠ»ΠΎΠ³ΠΈΡŽ ΠΈ частоту Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с тяТСлым ΠΈ ΠΊΡ€Π°ΠΉΠ½Π΅ тяТСлым Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ COVID-19.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ рСтроспСктивноС ΠΎΠ΄Π½ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΎΠ²ΠΎΠ΅ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ 168 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с COVID-19, госпитализированных Π² ΠΎΡ‚Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Ρ€Π΅Π°Π½ΠΈΠΌΠ°Ρ†ΠΈΠΈ ΠΈ интСнсивной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ (ОРИВ). Π£ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² рСгистрировали всС случаи ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½ΡƒΡŽ характСристику ΠΈ исход.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½ΡƒΡŽ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΡŽ выявили Ρƒ 82 (48,8%) ΠΈΠ· 168 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ‡Π°Ρ‰Π΅ Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ (Ρ€=0,028). ВсСго рСгистрировали 232 эпизода Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ: вСнтилятор-Π°ΡΡΠΎΡ†ΠΈΠΈΡ€ΠΎΠ²Π°Π½Π½ΡƒΡŽ пнСвмонию (48,2%), ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΡŽ ΠΊΡ€ΠΎΠ²ΠΎΡ‚ΠΎΠΊΠ° (39,2%), Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½ΡƒΡŽ пнСвмонию/Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠ±Ρ€ΠΎΠ½Ρ…ΠΈΡ‚ (13,4%) ΠΈ ΠΌΠΎΡ‡Π΅Π²ΡƒΡŽ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΡŽ (5,2%). ΠžΡΠ½ΠΎΠ²Π½Ρ‹ΠΌΠΈ возбудитСлями Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π±Ρ‹Π»ΠΈ рСзистСнтныС ΡˆΡ‚Π°ΠΌΠΌΡ‹ Acinetobacter baumannii ΠΈ Klebsiella pneumoniae. Π˜Π½Ρ„Π΅ΠΊΡ†ΠΈΡ Ρ€Π°Π·Π²ΠΈΠ²Π°Π»Π°ΡΡŒ Π² срСднСм Π½Π° 6-ΠΉ [3; 9] дСнь нахоТдСния Π² ОРИВ, Π±Ρ‹Π»Π° ассоциирована с исходной Ρ‚ΡΠΆΠ΅ΡΡ‚ΡŒΡŽ состояния, опрСдСляСмой ΠΏΠΎ ряду ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ²: SOFA (p=0,016), SpO2 (p=0,005), выраТСнности Π»ΠΈΠΌΡ„ΠΎΠΏΠ΅Π½ΠΈΠΈ (p=0,003), Π½Π΅ΠΉΡ‚Ρ€ΠΎΡ„ΠΈΠ»ΡŒΠ½ΠΎ-Π»ΠΈΠΌΡ„ΠΎΡ†ΠΈΡ‚Π°Ρ€Π½ΠΎΠΌΡƒ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ (p=0,004), ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π‘-Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ Π±Π΅Π»ΠΊΠ° (p=0,01), аспартаминтрансфСразы (p=0,022), Π²ΠΈΡ‚Π°ΠΌΠΈΠ½Π° Π” (p=0,035). ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹, Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π±Ρ‹Π»Π° диагностирована инфСкция, Π² сравнСнии с ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌΠΈ Π±Π΅Π· ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, Ρ‡Π°Ρ‰Π΅ Π½ΡƒΠΆΠ΄Π°Π»ΠΈΡΡŒ Π² ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ искусствСнной вСнтиляции Π»Π΅Π³ΠΊΠΈΡ… (67,6 ΠΈ 32,4%, p<0,001), высокопоточной кислородотСрапии (50,0 ΠΈ 31,0%, p=0,020), Π·Π°ΠΌΠ΅ΡΡ‚ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΏΠΎΡ‡Π΅Ρ‡Π½ΠΎΠΉ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ (36,8 ΠΈ 9,3%, p=0,003), ΠΈΠΌΠ΅Π»ΠΈ Π±ΠΎΠ»ΡŒΡˆΡƒΡŽ ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ нахоТдСния Π² ОРИВ (13 [9; 18] ΠΈ 4 [2; 8], p<0,001), Π±ΠΎΠ»ΡŒΡˆΡƒΡŽ ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ прСбывания Π² стационарС (19 [14; 29] ΠΈ 15 [11; 20], p=0,001) ΠΈ Π»Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ (47 (57,3%) ΠΈ 25 (29,0%), p<0,001).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π£ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с тяТСлым ΠΈ ΠΊΡ€Π°ΠΉΠ½Π΅ тяТСлым Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ COVID-19 выявили Π²Ρ‹ΡΠΎΠΊΡƒΡŽ частоту Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, которая Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎ влияла Π½Π° исход заболСвания. Π‘ΠΎΠ»Π΅Π΅ Ρ‡Π΅ΠΌ Π² ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Π΅ случаСв возбудитСлями ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ являлись рСзистСнтныС ΡˆΡ‚Π°ΠΌΠΌΡ‹ Π³Ρ€Π°ΠΌΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ°Π»ΠΎΡ‡Π΅ΠΊ. ΠŸΡ€ΠΎΠΊΠ°Π»ΡŒΡ†ΠΈΡ‚ΠΎΠ½ΠΈΠ½ являСтся ΠΏΠΎΠ»Π΅Π·Π½Ρ‹ΠΌ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠΌ для ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½-Ρ„Π΅ΠΊΡ†ΠΈΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с COVID-19

    Врудности лСчСния ослоТнСний ΠΈ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΈ послС COVID-19. ΠšΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΠΈΠΉ случай

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    The severe course of the new coronavirus infection (COVID-19) is associated with multiple life-threatening complications that lead to delayed initiation of active rehabilitation and unfavorable long-term treatment outcomes. Tracheoesophageal fistula is one of these complications. The specific feature of this event in COVID-19 is delayed tissue regeneration which requires a non-standard approach to management of such patients.The article presents a clinical case of a pregnant patient after a complicated severe course of COVID-19 with the development of tracheoesophageal fistula, sepsis, and weakness syndrome acquired in ICU. The combination of complications of the disease led to a prolonged (about five months) period of rehabilitation.Modern standard components of intensive therapy of such patients including regular monitoring of endotracheal/tracheostomy tube cuff pressure, dynamic assessment of nutritional status and its correction, rational antimicrobial therapy, screening of psychiatric disorders and early rehabilitation, will minimize the number of both early and delayed complications of COVID-19.  ВяТСлоС Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ (COVID-19) сопряТСно со мноТСством ΠΆΠΈΠ·Π½Π΅ΡƒΠ³Ρ€ΠΎΠΆΠ°ΡŽΡ‰ΠΈΡ… ослоТнСний, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ приводят ΠΊ отсрочкС Π½Π°Ρ‡Π°Π»Π° Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… мСроприятий ΠΈ ΡƒΡ…ΡƒΠ΄ΡˆΠ΅Π½ΠΈΡŽ долгосрочных Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² лСчСния. Одним ΠΈΠ· Ρ‚Π°ΠΊΠΈΡ… ослоТнСний являСтся Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ свища. ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ этой ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΡ€ΠΈ COVID-19 являСтся замСдлСнная рСгСнСрация Ρ‚ΠΊΠ°Π½Π΅ΠΉ, Ρ‡Ρ‚ΠΎ Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ нСстандартного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΠΊ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠ΅ вСдСния Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ².Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСн клиничСский случай лСчСния Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠΈ послС ослоТнСнного тяТСлого тСчСния COVID-19 с Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ΠΌ Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ свища, сСпсиса, синдрома ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π΅Π½Π½ΠΎΠΉ Π² ΠΎΡ‚Π΄Π΅Π»Π΅Π½ΠΈΠΈ Ρ€Π΅Π°Π½ΠΈΠΌΠ°Ρ†ΠΈΠΈ ΠΈ интСнсивной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ слабости. ΠšΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΡ ослоТнСний заболСвания ΠΏΡ€ΠΈΠ²Π΅Π»Π° ΠΊ затяТному (ΠΎΠΊΠΎΠ»ΠΎ 5 мСс.) ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Ρƒ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΈ.Π‘ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅ стандартныС ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹ интСнсивной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Π²ΠΊΠ»ΡŽΡ‡Π°Ρ рСгулярный ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒ давлСния Π² ΠΌΠ°Π½ΠΆΠ΅Ρ‚Π΅ ΡΠ½Π΄ΠΎΡ‚Ρ€Π°Ρ…Π΅Π°Π»ΡŒΠ½Ρ‹Ρ…/трахСостомичСских Ρ‚Ρ€ΡƒΠ±ΠΎΠΊ, Π΄ΠΈΠ½Π°ΠΌΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΎΡ†Π΅Π½ΠΊΡƒ Π½ΡƒΡ‚Ρ€ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ статуса ΠΈ Π΅Π³ΠΎ ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ†ΠΈΡŽ, Ρ€Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΡƒΡŽ Π°Π½Ρ‚ΠΈΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΡƒΡŽ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ, скрининг психичСских Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ ΠΈ Ρ€Π°Π½Π½ΡŽΡŽ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΡŽ, позволят ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ число ΠΊΠ°ΠΊ Ρ€Π°Π½Π½ΠΈΡ…, Ρ‚Π°ΠΊ ΠΈ отсрочСнных ослоТнСний COVID-19

    Inhaled surfactant in patients with covid-19 who took high-flow oxygen: the results of a retrospective analysis

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    The article presents a comparative retrospective analysis of clinical, laboratory data and outcomes in 39 patients with severe COVID-19 complicated by acute respiratory distress syndrome, who received high-flow oxygen therapy. Of which, 19 patients additionally received 75 mg of inhaled surfactant BL twice daily for 5 days using a nebulizer. As a result, mortality rate in the group of patients receiving surfactant was 10.5%, while in the standard therapy group β€” 50%; the number of patients transferred to the mechanical ventilation was 21% and 70%, respectively. As the patients receiving the surfactant were injected with COVID-19 hyperimmune convalescent plasma and monoclonal antibodies to interleukin-6 receptors more often than those from the control group, we recalculated the results regardless of these patients. However, a significant difference between the mechanical ventilation rate (2.5 times less often in the surfactant group) and mortality rate (3.5 times less in the surfactant group) was observed. The duration of hospitalization and stay at the intensive care unit was not significantly different between patients with and without surfactant treatment. Inhalation therapy with surfactant BL was well tolerated even by patients with chronic obstructive pulmonary disease. In no case did therapy have to be stopped due to side effects, the most common of which was coughing during inhalation. This retrospective analysis shows that the prescription of an inhaled surfactant prior to transferring patients to mechanical ventilation can prevent the progression of respiratory failure, put down mechanical ventilation, and improve survival

    Coordinated Loss and Acquisition of NK Cell Surface Markers Accompanied by Generalized Cytokine Dysregulation in COVID-19

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    Coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, is accompanied by a dysregulated immune response. In particular, NK cells, involved in the antiviral response, are affected by the infection. This study aimed to investigate circulating NK cells with a focus on their activation, depletion, changes in the surface expression of key receptors, and functional activity during COVID-19, among intensive care unit (ICU) patients, moderately ill patients, and convalescents (CCP). Our data confirmed that NK cell activation in patients with COVID-19 is accompanied by changes in circulating cytokines. The progression of COVID-19 was associated with a coordinated decrease in the proportion of NKG2D+ and CD16+ NK cells, and an increase in PD-1, which indicated their exhaustion. A higher content of NKG2D+ NK cells distinguished surviving patients from non-survivors in the ICU group. NK cell exhaustion in ICU patients was additionally confirmed by a strong negative correlation of PD-1 and natural cytotoxicity levels. In moderately ill patients and convalescents, correlations were found between the levels of CD57, NKG2C, and NKp30, which may indicate the formation of adaptive NK cells. A reduced NKp30 level was observed in patients with a lethal outcome. Altogether, the phenotypic changes in circulating NK cells of COVID-19 patients suggest that the intense activation of NK cells during SARS-CoV-2 infection, most likely induced by cytokines, is accompanied by NK cell exhaustion, the extent of which may be critical for the disease outcome

    Coordinated Loss and Acquisition of NK Cell Surface Markers Accompanied by Generalized Cytokine Dysregulation in COVID-19

    No full text
    Coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, is accompanied by a dysregulated immune response. In particular, NK cells, involved in the antiviral response, are affected by the infection. This study aimed to investigate circulating NK cells with a focus on their activation, depletion, changes in the surface expression of key receptors, and functional activity during COVID-19, among intensive care unit (ICU) patients, moderately ill patients, and convalescents (CCP). Our data confirmed that NK cell activation in patients with COVID-19 is accompanied by changes in circulating cytokines. The progression of COVID-19 was associated with a coordinated decrease in the proportion of NKG2D+ and CD16+ NK cells, and an increase in PD-1, which indicated their exhaustion. A higher content of NKG2D+ NK cells distinguished surviving patients from non-survivors in the ICU group. NK cell exhaustion in ICU patients was additionally confirmed by a strong negative correlation of PD-1 and natural cytotoxicity levels. In moderately ill patients and convalescents, correlations were found between the levels of CD57, NKG2C, and NKp30, which may indicate the formation of adaptive NK cells. A reduced NKp30 level was observed in patients with a lethal outcome. Altogether, the phenotypic changes in circulating NK cells of COVID-19 patients suggest that the intense activation of NK cells during SARS-CoV-2 infection, most likely induced by cytokines, is accompanied by NK cell exhaustion, the extent of which may be critical for the disease outcome
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