Appropriate Use of Tocilizumab in COVID-19: Early Use is Beneficial.

Objective: Interleukin-6 inhibitor Tocilizumab (TCZ) is effective to prevent the mortality of severe COVID-19 by suppressing the cytokine storm, however, its appropriate use needs to be detailed. We aimed to describe the appropriate use of TCZ in severe to critical cases with COVID-19 pneumonia in the early phase of the pandemic. Materials and Methods: This single-center, retrospective, observational study was conducted in a polymerase chain reaction (PCR) positive COVID-19 patients who received TCZ between April 01, 2020 and June 30, 2020, in Ümraniye Research and Training Hospital Istanbul, Turkey. The factors affecting mortality were compared. Results: A total of 67 patients met the inclusion criteria during the study period. Overall, 76% of those patients were male, with a median age of 61 years. The 28-day mortality rate was 51% among all patients who were hospitalised for COVID-19 pneumonia. A logistic regression model identified the predictors of 28-day fatality; the number of comorbidities, high levels of C-reactive protein (CRP) before initiation of TCZ, initiation of TCZ in the intensive care unit (ICU) and not receiving an additional dose of TCZ. Conclusion: The number of comorbidities, high levels of CRP, initiation of TCZ in the ICU and not receiving the additional dose of TCZ were significant risk factors for fatality among patients with COVID-19 who received TCZ. Early initiation of TCZ when cytokine storm is suspected is appropriate for the prevention of fatality.

Clinical characteristics and risk factors associated with severe disease and outcome of patients with COVID-19.

INTRODUCTION: Since the beginning of the pandemic, factors associated with mortality in patients with corona virus infection disease 2019 (COVID-19) have been investigated. Comorbidities and increased age have been frequently reported to be associated with mortality. We aimed to evaluate the factors associated with unfavorable outcome of patients with COVID-19 at an early period of the pandemic. METHODOLOGY: This single center, retrospective, observational study was conducted among laboratory confirmed COVID-19 patients hospitalized between March 11 and May 5, 2020, at Umraniye Training and Research Hospital, Istanbul, Turkey. The effects of the severity of illness, comorbidities, symptoms, and laboratory findings on the clinical outcome were evaluated. Factors associated with unfavorable outcome (necessity of mechanical ventilation or death) were examined using Cox proportional hazards models. RESULTS: Out of a total of 728 patients, 53.8% were men and median age 54 years. The 30-day mortality rate was 4.9% among all hospitalized patients. A logistic regression model identified six predictors of unfavorable clinical outcome: age, severity of illness, the numbers of comorbidities, lymphopenia, high levels of C-reactive protein, and procalcitonin. CONCLUSIONS: The mortality rate was lower among the patients with COVID-19, hospitalized during the early period of the pandemic. Older age, higher severity score on admission, the numbers of comorbidities, higher levels of C-reactive protein, procalcitonin, and lymphopenia were identified to be associated with unfavorable outcome of the hospitalized patients with COVID-19.

Evaluation of Modified ATRIA Risk Score in Predicting Mortality in Hospitalized Patients With COVID-19.

BACKGROUND: As the Modified Anticoagulation and Risk Factors in Atrial Fibrillation Risk Score (M-ATRIA-RS) encompasses prognostic risk factors of novel coronavirus-2019 (COVID-19), it may be used to predict in-hospital mortality. We aimed to investigate whether M-ATRIA-RS was an independent predictor of mortality in patients hospitalized for COVID-19 and compare its discrimination capability with CHADS, CHA2DS2-VASc, and modified CHA2DS2-VASc (mCHA2DS2-VASc)-RS. METHODS: A total of 1,001 patients were retrospectively analyzed and classified into three groups based on M-ATRIA-RS, designed by changing sex criteria of ATRIA-RS from female to male: Group 1 for points 0-1 (n = 448), Group 2 for points 2-4 (n = 268), and Group 3 for points ≥5 (n = 285). Clinical outcomes were defined as in-hospital mortality, need for high-flow oxygen and/or intubation, and admission to intensive care unit. RESULTS: As the M-ATRIA-RS increased, adverse clinical outcomes significantly increased (Group 1, 6.5%; Group 2, 15.3%; Group 3, 34.4%; p <0.001 mortality for in-hospital). Multivariate logistic regression analysis showed that M-ATRIA-RS, malignancy, troponin increase, and lactate dehydrogenase were independent predictors of in-hospital mortality (p<0.001, per scale possibility rate for ATRIA-RS 1.2). In receiver operating characteristic (ROC) analysis, the discriminative ability of M-ATRIA-RS was superior to mCHA2DS2-VASc-RS and ATRIA-RS, but similar to that Charlson Comorbidity Index (CCI) score (AUCM-ATRIAvs AUCATRIA Z-test=3.14 p = 0.002, AUCM-ATRIAvs. AUCmCHA2DS2-VASc Z-test=2.14, p = 0.03; AUCM-ATRIAvs. AUCCCI Z-test=1.46 p = 0.14). CONCLUSIONS: M-ATRIA-RS is useful to predict in-hospital mortality among patients hospitalized with COVID-19. In addition, it is superior to the mCHA2DS2-VASc-RS in predicting mortality in patients with COVID-19 and is more easily calculable than the CCI score.