ABSTRACT
COVID-19 has been associated with a broad range of long-term sequelae, commonly referred to as "long-COVID" or "post-COVID-19" syndrome. Despite an increasing body of literature, long COVID remains poorly characterized. We retrospectively analysed data from electronic medical records of patients admitted to the post-COVID-19 outpatient service of the Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy, between June 2020 and June 2021, 4-12 weeks after hospital discharge. A total of 428 patients, 41% women, median age 64 years, underwent a follow-up visit a median 53 days after hospital discharge. Overall, 76% patients reported at least one persistent symptom, including dyspnoea (37%), chronic fatigue (36%), insomnia (16%), visual disorders (13%) and brain fog (13%). Increasing oxygen support (OR 1.4, 95% CI 1.1-1.8), use of immunosuppressants (OR 6.4, 95% CI 1.5-28) and female sex (OR 1.8, 95% CI 1.1-2.9) were associated with a higher risk of long COVID symptoms. Comparison between symptomatic patients infected in the period March-December 2020 (prevalent circulation of wild-type SARS-CoV-2) with those infected in the period January-April 2021 (prevalent circulation of B.1.1.7 Alpha variant) showed a significant modification in the pattern of symptoms belonging to the neurological and cognitive/emotional categories. Our findings confirmed shortness of breath and chronic fatigue as the most frequent long COVID manifestations, while female sex and severe COVID-19 course were the main risk factors for developing lingering symptoms. SARS-CoV-2 variants may induce different long COVID phenotypes, possibly due to changes in cell tropism and differences in viral-host interaction.
Subject(s)
COVID-19 , Fatigue Syndrome, Chronic , Female , Humans , Male , COVID-19/epidemiology , Fatigue Syndrome, Chronic/complications , Pandemics , Phenotype , Retrospective Studies , SARS-CoV-2/genetics , Middle Aged , Post-Acute COVID-19 SyndromeABSTRACT
We tested the prognostic performance of different scores for the identification of subjects with acute respiratory failure by COVID-19, at risk of in-hospital mortality and NIV failure. We conducted a retrospective study, in the Medical High-Dependency Unit of the University-Hospital Careggi. We included all subjects with COVID-19 and ARF requiring non-invasive ventilation (NIV) between March 2020 and January 2021. Clinical parameters, the HACOR score (Heart rate, Acidosis, Consciousness, Oxygenation, Respiratory Rate) and ROX index ((SpO2/FiO2)/respiratory rate) were collected 3 (-3) and 1 day (-1) before the NIV initiation, the first day of treatment (Day0) and after 1 (+1), 2 (+2), 5 (+5), 8 (+8) and 11 (+11) of treatment. The primary outcomes were in-hospital mortality and NIV failure. We included 135 subjects, mean age 69±13 years, 69% male. Patients, who needed mechanical ventilation, showed a higher HACOR score (Day0: 6 [5-7] vs 6 [6-7], p=.057; Day+2: 6 [6-6] vs 6 [4-6], p=.013) and a lower ROX index (Day0: 4.2±2.3 vs 5.1±2.3, p=.055; Day+2: 4.4±1.2.vs 5.5±1.3, p=.001) than those with successful NIV. An HACOR score >5 was more frequent among nonsurvivors (Day0: 82% vs 58%; Day2: 82% vs 48%, all p<0.01) and it was associated with in-hospital mortality (Day0: RR 5.88, 95%CI 2.01-17.22; Day2: RR 4.33, 95%CI 1.64-11.41) independent to age and Charlson index. In conclusion, in subjects treated with NIV for ARF caused by COVID19, respiratory parameters collected after the beginning of NIV allowed to identify those at risk of an adverse outcome. An HACOR score >5 was independently associated with increased mortality rate.
Subject(s)
COVID-19 , Noninvasive Ventilation , Respiratory Insufficiency , Adult , Humans , Male , Middle Aged , Aged , Aged, 80 and over , Female , Noninvasive Ventilation/adverse effects , Respiration, Artificial , Hospital Mortality , COVID-19/therapy , Retrospective Studies , Respiratory Insufficiency/therapy , Respiratory Insufficiency/etiology , PrognosisABSTRACT
BACKGROUND: To assess the clinical effectiveness of Tocilizumab (TCZ) in moderate-to-severe hospitalized COVID-19 patients and factors associated with clinical response. METHODS: 508 inpatients with moderate-to-severe SARS-CoV-2 infection were enrolled. TCZ effect in addition to standard medical therapy was evaluated in terms of death during hospital stay. Unadjusted and adjusted risk of mortality for TCZ treated patients versus TCZ untreated ones was estimated using robust Cox regression model. We considered the combination of TCZ and ICU as time-dependent exposure and created a model using duplication method to assess the TCZ effect in very severe COVID-19 patients. RESULTS: TCZ REDUCED DEATH DURING HOSPITAL STAY IN THE UNADJUSTED MODEL (HR 0.54, 95%CI 0.33- 0.88) and also in the adjusted model, although with loss of statistical significance (HR 0.72, 0.43- 1.20). Better effectiveness was observed in patients with low SpO2/FiO2 ratio (HR 0.35, 0.21-0.61 vs 1.61, 0.54-4.82, p<0.05), and, without statistical significance, in patients with high CRP (HR 0.51, 0.30-0.87 vs 0.41, 0.12-1.37, p =NS) and high IL-6 (HR 0.49, 0.29-0.82 vs 1.00, 0.28-3.55, p=NS). TCZ was effective in patients not admitted to ICU, both in the unadjusted (HR 0.33, 0.14-0.74) and in the adjusted (HR 0.39, 0.17-0.91) model but no benefit was observed in critical ICU-admitted patients both in the unadjusted (HR 0.66, 0.37-1.15) and in the adjusted model (HR 0.95, 0.54-1.68). CONCLUSIONS: our real-life study suggests clinical efficacy of TCZ in moderate-to-severe COVID-19 patients but not in end-stage disease. Thus, to enhance TCZ effectiveness, patients should be selected before grave compromise of clinical conditions.
ABSTRACT
OBJECTIVE: To investigate the persistence of symptoms compatible with COVID-19 in a real-file prospective cohort of patients at 12 months from hospital discharge. METHODS: Longitudinal, prospective, single-center, cohort telephone follow-up (FU) study in a Tertiary Care Hospital. All consecutive patients >18 years admitted for COVID-19 were prospectively enrolled in a telephone FU program aimed at monitoring symptoms after 1,3,6,9 and 12 months from hospital discharge. The survey screened for somatic (fatigue, dyspnea, dyspnea, palpitations, cough, chest pain, abdominal pain, ageusia, anosmia, bowel symptoms) and emotional symptoms (insomnia, confusion, altered sense of reality, loss of appetite, fear, and depression) and frailty. Only patients with 12 months FU data were analyzed (N=254). Prevalence and factors associated with symptoms were the main outcomes. Frailty was defined by the presence of ≥3 indicators: weakness, slowness/impaired mobility, weight-loss, low physical activity, and exhaustion. RESULTS: At 12 months, 40.5% of patients reported at least one symptom. The most common somatic ones were fatigue, exertional dyspnea, cough, bowel complaints while the most common psycho-emotional were insomnia, confusion, fear, and depression. Age, gender, gender, frailty, multiple symptoms at baseline and chronic obstructive pulmonary disease (COPD) were associated with symptoms persistence. Furthermore, frailty, COPD and multiple symptoms at baseline were associated with increased risk of somatic symptoms at 12 months, while age and gender were associated with emotional ones. CONCLUSIONS: Burden of the long COVID-19 symptoms decreased over time but remained as high as 40% at 12 months with important gender and functional differences, highlighting potential patient categories who may benefit from specific follow up strategies.
Subject(s)
COVID-19 , COVID-19/complications , Cohort Studies , Follow-Up Studies , Humans , Prospective Studies , SARS-CoV-2 , Post-Acute COVID-19 SyndromeABSTRACT
OBJECTIVE: Hyponatremia is the most common electrolyte disorder in hospitalized patients and occurs in about 30% of patients with pneumonia. Hyponatremia has been associated with a worse outcome in several pathologic conditions The main objective of this study was to determine whether serum sodium alterations may be independent predictors of the outcome of hospitalized COVID-19 patients. DESIGN AND METHODS: In this observational study, data from 441 laboratory-confirmed COVID-19 patients admitted to a University Hospital were collected. After excluding 61 patients (no serum sodium at admission available, saline solution infusion before sodium assessment, transfer from another hospital), data from 380 patients were analyzed. RESULTS: 274 (72.1%) patients had normonatremia at admission, 87 (22.9%) patients had hyponatremia and 19 (5%) patients had hypernatremia. We found an inverse correlation between serum sodium and IL-6, whereas a direct correlation between serum sodium and PaO2/FiO2 ratio was observed. Patients with hyponatremia had a higher prevalence of non-invasive ventilation and ICU transfer than those with normonatremia or hypernatremia. Hyponatremia was an independent predictor of in-hospital mortality (2.7-fold increase vs normonatremia) and each mEq/L of serum sodium reduction was associated with a 14.4% increased risk of death. CONCLUSIONS: These results suggest that serum sodium at admission may be considered as an early prognostic marker of disease severity in hospitalized COVID-19 patients.
Subject(s)
COVID-19/blood , SARS-CoV-2 , Severity of Illness Index , Sodium/blood , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/mortality , Comorbidity , Critical Care/statistics & numerical data , Female , Fluorocarbons/blood , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Hydrocarbons, Brominated/blood , Hypernatremia/epidemiology , Hyponatremia/epidemiology , Interleukin-6/blood , Male , Middle Aged , Respiration, Artificial/statistics & numerical data , Retrospective Studies , Severe acute respiratory syndrome-related coronavirusABSTRACT
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes CoronaVirus Disease 2019 (COVID-19), has resulted in a worldwide pandemic and currently represents a major public health crisis. It has caused outbreaks of illness through person-to-person transmission of the virus mainly via close contacts, and droplets produced by an infected person's cough or sneeze. Aerosolised inhaled therapy is the mainstay for treating obstructive airway diseases at home and in healthcare settings, but there is heightened particular concern about the potential risk for transmission of SARS-CoV-2 in the form of aerosolised respiratory droplets during the nebulised treatment of patients with COVID-19. As a consequence of this concern, the use of hand-held inhalers, especially pressurised metered dose inhalers, has risen considerably as an alternative to nebulisers, and this switch has led to inadequate supplies of inhalers in some countries. However, there is no evidence supporting an increased risk of viral transmission during nebulisation in COVID-19 patients. Furthermore, some patients may be unable to adequately use their new device and may not benefit fully from the switch to treatment via hand-held inhalers. Thus, there is no compelling reason to alter aerosol delivery devices for patients with established nebuliser-based regimens. The purpose of this paper is to discuss the current evidence and understanding of the use of aerosolised inhaled therapies during the SARS-CoV-2 pandemic and to provide some guidance on the measures to be taken to minimise the risk of transmitting infection, if any, during aerosol therapies.
Subject(s)
Aerosols/adverse effects , Anti-Inflammatory Agents/administration & dosage , Bronchodilator Agents/administration & dosage , COVID-19/prevention & control , COVID-19/transmission , Lung Diseases, Obstructive/drug therapy , Nebulizers and Vaporizers/standards , Humans , SARS-CoV-2ABSTRACT
OBJECTIVE: The aim of this study was to identify the main CT features that may help in distinguishing a progression of interstitial lung disease (ILD) secondary to SSc from COVID-19 pneumonia. METHODS: This multicentric study included 22 international readers grouped into a radiologist group (RADs) and a non-radiologist group (nRADs). A total of 99 patients, 52 with COVID-19 and 47 with SSc-ILD, were included in the study. RESULTS: Fibrosis inside focal ground-glass opacities (GGOs) in the upper lobes; fibrosis in the lower lobe GGOs; reticulations in lower lobes (especially if bilateral and symmetrical or associated with signs of fibrosis) were the CT features most frequently associated with SSc-ILD. The CT features most frequently associated with COVID- 19 pneumonia were: consolidation (CONS) in the lower lobes, CONS with peripheral (both central/peripheral or patchy distributions), anterior and posterior CONS and rounded-shaped GGOs in the lower lobes. After multivariate analysis, the presence of CONs in the lower lobes (P < 0.0001) and signs of fibrosis in GGOs in the lower lobes (P < 0.0001) remained independently associated with COVID-19 pneumonia and SSc-ILD, respectively. A predictive score was created that was positively associated with COVID-19 diagnosis (96.1% sensitivity and 83.3% specificity). CONCLUSION: CT diagnosis differentiating between COVID-19 pneumonia and SSc-ILD is possible through a combination of the proposed score and radiologic expertise. The presence of consolidation in the lower lobes may suggest COVID-19 pneumonia, while the presence of fibrosis inside GGOs may indicate SSc-ILD.
Subject(s)
COVID-19 , Lung Diseases, Interstitial , Scleroderma, Systemic , COVID-19/complications , COVID-19/diagnostic imaging , COVID-19 Testing , Fibrosis , Humans , Lung/diagnostic imaging , Lung/pathology , Lung Diseases, Interstitial/complications , Lung Diseases, Interstitial/etiology , Scleroderma, Systemic/complications , Scleroderma, Systemic/diagnostic imaging , Scleroderma, Systemic/pathology , Tomography, X-Ray ComputedABSTRACT
OBJECTIVES: To assess the association of pre-morbid functional status [Barthel Index (BI)] and frailty [modified Frailty Index (mFI)] with in-hospital mortality and a risk scoring system developed for COVID-19 in patients ≥75 years diagnosed with COVID-19. DESIGN: Retrospective bicentric observational study. SETTING AND PARTICIPANTS: Data on consecutive patients aged ≥75 years admitted with COVID-19 at 2 Italian tertiary care centers were collected from February 22 to May 30, 2020. METHODS: Overall, 221 consecutive patients with COVID-19 aged ≥75 years were admitted to 2 hospitals in the study period and were included in the analysis. Clinical, functional (BI), frailty (mFI), laboratory, and imaging data were collected. Mortality risk on admission was assessed with the COVID-19 Mortality Risk Score (COVID-19 MRS), a dedicated score developed for hospital triage. RESULTS: Ninety-seven (43.9%) patients died. BI, frailty, age, dementia, respiratory rate, Pao2/Fio2 ratio, creatinine, and platelet count were associated with mortality. Analysis of the area under the receiver operating characteristic (AUC) indicated that the predictivity of age was modest and the combination of BI, mFI, and COVID-19 MRS yielded the highest prediction accuracy (AUCCOVID-19MRS+BI+mFI vs AUCAge: 0.87 vs 0.59; difference: +0.28, lower bound-upper bound: 0.17-0.34, P < .001). CONCLUSIONS AND IMPLICATIONS: Premorbid BI and mFI are associated with mortality and improved the accuracy of the COVID-19 MRS. Functional status may prove useful to guide clinical management of older individuals.
Subject(s)
COVID-19 , Frailty , Aged , Hospital Mortality , Humans , Italy/epidemiology , Retrospective Studies , Risk Factors , SARS-CoV-2ABSTRACT
We evaluated 100 postacute coronavirus disease 2019 (COVID-19) patients a median (interquartile range) of 60 (48-67) days after discharge from the Careggi University Hospital, Italy. Eighty-four (84%) had at least 1 persistent symptom, irrespective of COVID-19 severity. A considerable number of hospital readmissions (10%) and/or infectious diseases (14%) during the postdischarge period were reported.
ABSTRACT
The current pandemic emergence of novel coronavirus disease (COVID-19) poses a relevant threat to global health. SARS-CoV-2 infection is characterized by a wide range of clinical manifestations, ranging from absence of symptoms to severe forms that need intensive care treatment. Here, plasma-EDTA samples of 30 patients compared with age- and sex-matched controls were analyzed via untargeted nuclear magnetic resonance (NMR)-based metabolomics and lipidomics. With the same approach, the effect of tocilizumab administration was evaluated in a subset of patients. Despite the heterogeneity of the clinical symptoms, COVID-19 patients are characterized by common plasma metabolomic and lipidomic signatures (91.7% and 87.5% accuracy, respectively, when compared to controls). Tocilizumab treatment resulted in at least partial reversion of the metabolic alterations due to SARS-CoV-2 infection. In conclusion, NMR-based metabolomic and lipidomic profiling provides novel insights into the pathophysiological mechanism of human response to SARS-CoV-2 infection and to monitor treatment outcomes.
Subject(s)
Antibodies, Monoclonal, Humanized/administration & dosage , COVID-19 Drug Treatment , Lipidomics , Lipids/blood , SARS-CoV-2/metabolism , COVID-19/blood , COVID-19/epidemiology , Female , Humans , Male , Nuclear Magnetic Resonance, BiomolecularABSTRACT
As of October 2020 management of Coronavirus disease 2019 (COVID-19) is based on supportive care and off-label or compassionate-use therapies. On March 2020 tocilizumab - an anti-IL-6 receptor monoclonal antibody - was suggested as immunomodulatory treatment in severe COVID-19 because hyperinflammatory syndrome occurs in many patients similarly to the cytokine release syndrome that develops after CAR-T cell therapy. In our retrospective observational study, 20 severe COVID-19 patients requiring intensive care were treated with tocilizumab in addition to standard-of-care therapy (SOC) and compared with 13 COVID-19 patients receiving only SOC. Clinical respiratory status, inflammatory markers and vascular radiologic score improved after one week from tocilizumab administration. On the contrary, these parameters were stable or worsened in patients receiving only SOC. Despite major study limitations, improvement of alveolar-arterial oxygen gradient as well as vascular radiologic score after one week may account for improved pulmonary vascular perfusion and could explain the more rapid recovery of COVID-19 patients receiving tocilizumab compared to controls.
Subject(s)
Antibodies, Monoclonal, Humanized/therapeutic use , COVID-19 Drug Treatment , Respiration/drug effects , Aged , Aged, 80 and over , Biomarkers/blood , COVID-19/pathology , Combined Modality Therapy , Critical Care , Female , Humans , Male , Middle Aged , Receptors, Interleukin-6/antagonists & inhibitors , Retrospective Studies , SARS-CoV-2 , Time Factors , Treatment OutcomeABSTRACT
OBJECTIVES: Several physiological abnormalities that develop during COVID-19 are associated with increased mortality. In the present study, we aimed to develop a clinical risk score to predict the in-hospital mortality in COVID-19 patients, based on a set of variables available soon after the hospitalisation triage. SETTING: Retrospective cohort study of 516 patients consecutively admitted for COVID-19 to two Italian tertiary hospitals located in Northern and Central Italy were collected from 22 February 2020 (date of first admission) to 10 April 2020. PARTICIPANTS: Consecutive patients≥18 years admitted for COVID-19. MAIN OUTCOME MEASURES: Simple clinical and laboratory findings readily available after triage were compared by patients' survival status ('dead' vs 'alive'), with the objective of identifying baseline variables associated with mortality. These were used to build a COVID-19 in-hospital mortality risk score (COVID-19MRS). RESULTS: Mean age was 67±13 years (mean±SD), and 66.9% were male. Using Cox regression analysis, tertiles of increasing age (≥75, upper vs <62 years, lower: HR 7.92; p<0.001) and number of chronic diseases (≥4 vs 0-1: HR 2.09; p=0.007), respiratory rate (HR 1.04 per unit increase; p=0.001), PaO2/FiO2 (HR 0.995 per unit increase; p<0.001), serum creatinine (HR 1.34 per unit increase; p<0.001) and platelet count (HR 0.995 per unit increase; p=0.001) were predictors of mortality. All six predictors were used to build the COVID-19MRS (Area Under the Curve 0.90, 95% CI 0.87 to 0.93), which proved to be highly accurate in stratifying patients at low, intermediate and high risk of in-hospital death (p<0.001). CONCLUSIONS: The COVID-19MRS is a rapid, operator-independent and inexpensive clinical tool that objectively predicts mortality in patients with COVID-19. The score could be helpful from triage to guide earlier assignment of COVID-19 patients to the most appropriate level of care.
Subject(s)
Betacoronavirus/isolation & purification , Coronavirus Infections , Critical Care , Critical Pathways , Pandemics , Pneumonia, Viral , Risk Assessment/methods , Triage , Aged , COVID-19 , Coronavirus Infections/blood , Coronavirus Infections/diagnosis , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Critical Care/methods , Critical Care/statistics & numerical data , Critical Pathways/organization & administration , Critical Pathways/standards , Female , Hospital Mortality , Hospitalization/statistics & numerical data , Humans , Italy/epidemiology , Male , Middle Aged , Pneumonia, Viral/blood , Pneumonia, Viral/diagnosis , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Prognosis , Respiration, Artificial/statistics & numerical data , Retrospective Studies , SARS-CoV-2 , Triage/methods , Triage/statistics & numerical dataABSTRACT
OBJECTIVES: There is currently a lack of clinical data on the novel beta-coronavirus infection [caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)] and concomitant primary lung cancer. Our goal was to report our experiences with 5 patients treated for lung cancer while infected with SARS-CoV-2. METHODS: We retrospectively evaluated 5 adult patients infected with SARS-CoV-2 who were admitted to our thoracic surgery unit between 29 January 2020 and 4 March 2020 for surgical treatment of a primary lung cancer. Clinical data and outcomes are reported. RESULTS: All patients were men with a mean age of 74.0 years (range 67-80). Four of the 5 patients (80%) reported chronic comorbidities. Surgery comprised minimally invasive lobectomy (2 patients) and segmentectomy (1 patient), lobectomy with en bloc chest wall resection (1 patient) and pneumonectomy (1 patient). Mean chest drain duration was 12.4 days (range 8-22); mean hospital stay was 33.8 days (range 21-60). SARS-CoV-2-related symptoms were fever (3 patients), persistent cough (3 patients), diarrhoea (2 patients) and syncope (2 patients); 1 patient reported no symptoms. Morbidity related to surgery was 60%; 30-day mortality was 40%. Two patients (1 with a right pneumonectomy, 74 years old; 1 with a lobectomy with chest wall resection and reconstruction, 70 years old), developed SARS-CoV-2-related lung failure leading to death 60 and 32 days after surgery, respectively. CONCLUSIONS: Lung cancer surgery may represent a high-risk factor for developing a severe case of coronavirus disease 2019, particularly in patients with advanced stages of lung cancer. Additional strategies are needed to reduce the risk of morbidity and mortality from SARS-CoV-2 infection during treatment for lung cancer.
Subject(s)
Carcinoma, Non-Small-Cell Lung/surgery , Coronavirus Infections/diagnosis , Cross Infection/prevention & control , Lung Neoplasms/surgery , Pneumonia, Viral/diagnosis , Severe Acute Respiratory Syndrome/diagnosis , Aged , Aged, 80 and over , COVID-19 , COVID-19 Testing , Carcinoma, Non-Small-Cell Lung/complications , Carcinoma, Non-Small-Cell Lung/diagnosis , Carcinoma, Non-Small-Cell Lung/mortality , Clinical Laboratory Techniques , Comorbidity , Coronavirus Infections/complications , Coronavirus Infections/mortality , Elective Surgical Procedures/methods , Female , Follow-Up Studies , Hospital Mortality , Humans , Italy , Length of Stay , Lung Neoplasms/complications , Lung Neoplasms/mortality , Lung Neoplasms/pathology , Male , Pandemics , Pneumonectomy/methods , Pneumonia, Viral/complications , Pneumonia, Viral/mortality , Retrospective Studies , Sampling Studies , Severe Acute Respiratory Syndrome/complications , Severe Acute Respiratory Syndrome/mortality , Thoracic Surgery, Video-Assisted/methods , Treatment OutcomeABSTRACT
BACKGROUNDCoronavirus disease 19 (COVID-19) is an emerging infectious disease caused by SARS-CoV-2. Antiviral immune response is crucial to achieve pathogen clearance; however, in some patients an excessive and aberrant host immune response can lead to an acute respiratory distress syndrome. The comprehension of the mechanisms that regulate pathogen elimination, immunity, and pathology is essential to better characterize disease progression and widen the spectrum of therapeutic options.METHODSWe performed a flow cytometric characterization of immune cell subsets from 30 patients with COVID-19 and correlated these data with clinical outcomes.RESULTSPatients with COVID-19 showed decreased numbers of circulating T, B, and NK cells and exhibited a skewing of CD8+ T cells toward a terminally differentiated/senescent phenotype. In agreement, CD4+ T and CD8+ T, but also NK cells, displayed reduced antiviral cytokine production capability. Moreover, a reduced cytotoxic potential was identified in patients with COVID-19, particularly in those who required intensive care. The latter group of patients also showed increased serum IL-6 levels that inversely correlated to the frequency of granzyme A-expressing NK cells. Off-label treatment with tocilizumab restored the cytotoxic potential of NK cells.CONCLUSIONThe association between IL-6 serum levels and the impairment of cytotoxic activity suggests the possibility that targeting this cytokine may restore antiviral mechanisms.FUNDINGThis study was supported by funds from the Department of Experimental and Clinical Medicine of University of Florence (the ex-60% fund and the "Excellence Departments 2018-2022 Project") derived from Ministero dell'Istruzione, dell'Università e della Ricerca (Italy).