ABSTRACT
Introduction and objectives: Tocilizumab is an interleukin-6 receptor-blocking agent proposed for the treatment of severe COVID-19; however, limited data are available on their efficacy. The aim of this study was to assess the effect of tocilizumab on the outcomes of patients with COVID-19 pneumonia by using propensity-score-matching (PSM) analysis. Methods: A retrospective observational analysis of hospitalized COVID-19 adult patients admitted to the Vall d'Hebron Hospital was performed between March and April 2020. We used the logistic regression to analyze the effect of tocilizumab on mortality, as main outcome, and PSM analysis to further validate their effect. Secondary outcomes were length-of-stay (LOS) and intensive-care-unit (ICU) stay. Same outcomes were also assessed for early tocilizumab administration, within 72 h after admission. Patients were selected by matching their individual propensity for receiving therapy with tocilizumab, conditional on their demographic and clinical variables. Results: A total of 544 COVID-19 patients were included, 197 (36.2%) were treated with tocilizumab of whom 147 were treated within the first 72 h after admission; and 347 were included in the control group. After PSM analyses, the results showed no association between tocilizumab use and overall mortality (OR = 1.03, 95%CI: 0.63-1.68). However, shorter ICU-stay in the tocilizumab group was found compared to the control group (Coefficient -4.27 95%CI: -6.63 to -1.92). Similar results were found in the early tocilizumab cohort. Conclusions: The administration of tocilizumab in patients with moderate to severe COVID-19 did not reduce the risk of mortality in our cohort of patients, regardless of the time of administration.
Introducción y objetivos: El tocilizumab es un agente bloqueador del receptor de la interleucina 6 propuesto para el tratamiento de la COVID-19 grave; sin embargo, se dispone de datos limitados sobre su eficacia. El objetivo de este estudio fue evaluar el efecto de tocilizumab en los resultados de los pacientes con neumonía por COVID-19 mediante un análisis de emparejamiento por propensity-score-matching (PSM, «puntuación de propensión¼). Métodos: Se realizó un análisis observacional retrospectivo de los pacientes adultos con COVID-19 ingresados en el Hospital Vall d'Hebron entre marzo y abril de 2020. Se utilizó la regresión logística para analizar el efecto de tocilizumab en la mortalidad, como resultado principal, y el análisis PSM para validar aún más su efecto. Los resultados secundarios fueron la duración de la estancia y la estancia en la unidad de cuidados intensivos (UCI). También se evaluaron los mismos resultados para la administración temprana de tocilizumab, dentro de las 72 h posteriores al ingreso. Los pacientes se seleccionaron mediante el emparejamiento de su propensión individual a recibir tratamiento con tocilizumab, condicionado a sus variables demográficas y clínicas. Resultados: Se incluyeron 544 pacientes de COVID-19, 197 (36,2%) fueron tratados con tocilizumab, de los cuales 147 fueron tratados dentro de las primeras 72 h tras el ingreso; y 347 fueron incluidos en el grupo control. Tras los análisis PSM, los resultados no mostraron ninguna asociación entre el uso de tocilizumab y la mortalidad global (OR = 1,03; IC del 95%: 0,63-1,68). Sin embargo, se encontró una menor estancia en la UCI en el grupo de tocilizumab en comparación con el grupo de control (coeficiente −4,27; IC del 95%: −6,63 − −1,92). Se encontraron resultados similares en la cohorte de tocilizumab temprano. Conclusiones: La administración de tocilizumab en pacientes con COVID-19 moderada a grave no redujo el riesgo de mortalidad en nuestra cohorte de pacientes, independientemente del momento de la administración.
ABSTRACT
Background: Two years since the onset of the COVID-19 pandemic no predictive algorithm has been generally adopted for clinical management and in most algorithms the contribution of laboratory variables is limited. Objectives: To measure the predictive performance of currently used clinical laboratory tests alone or combined with clinical variables and explore the predictive power of immunological tests adequate for clinical laboratories. Methods: Data from 2,600 COVID-19 patients of the first wave of the pandemic in the Barcelona area (exploratory cohort of 1,579, validation cohorts of 598 and 423 patients) including clinical parameters and laboratory tests were retrospectively collected. 28-day survival and maximal severity were the main outcomes considered in the multiparametric classical and machine learning statistical analysis. A pilot study was conducted in two subgroups (n=74 and n=41) measuring 17 cytokines and 27 lymphocyte phenotypes respectively. Findings: 1) Despite a strong association of clinical and laboratory variables with the outcomes in classical pairwise analysis, the contribution of laboratory tests to the combined prediction power was limited by redundancy. Laboratory variables reflected only two types of processes: inflammation and organ damage but none reflected the immune response, one major determinant of prognosis. 2) Eight of the thirty variables: age, comorbidity index, oxygen saturation to fraction of inspired oxygen ratio, neutrophil-lymphocyte ratio, C-reactive protein, aspartate aminotransferase/alanine aminotransferase ratio, fibrinogen, and glomerular filtration rate captured most of the combined statistical predictive power. 3) The interpretation of clinical and laboratory variables was moderately improved by grouping them in two categories i.e., inflammation related biomarkers and organ damage related biomarkers; Age and organ damage-related biomarker tests were the best predictors of survival, and inflammatory-related ones were the best predictors of severity. 4) The pilot study identified immunological tests (CXCL10, IL-6, IL-1RA and CCL2), that performed better than most currently used laboratory tests. Conclusions: Laboratory tests for clinical management of COVID 19 patients are valuable but limited predictors due to redundancy; this limitation could be overcome by adding immunological tests with independent predictive power. Understanding the limitations of tests in use would improve their interpretation and simplify clinical management but a systematic search for better immunological biomarkers is urgent and feasible.
Subject(s)
COVID-19 , Biomarkers , Cohort Studies , Humans , Inflammation , Laboratories, Clinical , Pandemics , Pilot Projects , Retrospective Studies , SARS-CoV-2ABSTRACT
Introduction and objectives Tocilizumab is an interleukin-6 receptor-blocking agent proposed for the treatment of severe COVID-19;however, limited data are available on their efficacy. The aim of this study was to assess the effect of tocilizumab on the outcomes of patients with COVID-19 pneumonia by using propensity-score-matching (PSM) analysis. Methods A retrospective observational analysis of hospitalized COVID-19 adult patients admitted to the Vall d’Hebron Hospital was performed between March and April 2020. We used the logistic regression to analyze the effect of tocilizumab on mortality, as main outcome, and PSM analysis to further validate their effect. Secondary outcomes were length-of-stay (LOS) and intensive-care-unit (ICU) stay. Same outcomes were also assessed for early tocilizumab administration, within 72 h after admission. Patients were selected by matching their individual propensity for receiving therapy with tocilizumab, conditional on their demographic and clinical variables. Results A total of 544 COVID-19 patients were included, 197 (36.2%) were treated with tocilizumab of whom 147 were treated within the first 72 h after admission;and 347 were included in the control group. After PSM analyses, the results showed no association between tocilizumab use and overall mortality (OR = 1.03, 95%CI: 0.63–1.68). However, shorter ICU-stay in the tocilizumab group was found compared to the control group (Coefficient −4.27 95%CI: −6.63 to −1.92). Similar results were found in the early tocilizumab cohort. Conclusions The administration of tocilizumab in patients with moderate to severe COVID-19 did not reduce the risk of mortality in our cohort of patients, regardless of the time of administration.
ABSTRACT
INTRODUCTION AND OBJECTIVES: Tocilizumab is an interleukin-6 receptor-blocking agent proposed for the treatment of severe COVID-19; however, limited data are available on their efficacy. The aim of this study was to assess the effect of tocilizumab on the outcomes of patients with COVID-19 pneumonia by using propensity-score-matching (PSM) analysis. METHODS: A retrospective observational analysis of hospitalized COVID-19 adult patients admitted to the Vall d'Hebron Hospital was performed between March and April 2020. We used the logistic regression to analyze the effect of tocilizumab on mortality, as main outcome, and PSM analysis to further validate their effect. Secondary outcomes were length-of-stay (LOS) and intensive-care-unit (ICU) stay. Same outcomes were also assessed for early tocilizumab administration, within 72h after admission. Patients were selected by matching their individual propensity for receiving therapy with tocilizumab, conditional on their demographic and clinical variables. RESULTS: A total of 544 COVID-19 patients were included, 197 (36.2%) were treated with tocilizumab of whom 147 were treated within the first 72h after admission; and 347 were included in the control group. After PSM analyses, the results showed no association between tocilizumab use and overall mortality (OR=1.03, 95%CI: 0.63-1.68). However, shorter ICU-stay in the tocilizumab group was found compared to the control group (Coefficient -4.27 95%CI: -6.63 to -1.92). Similar results were found in the early tocilizumab cohort. CONCLUSIONS: The administration of tocilizumab in patients with moderate to severe COVID-19 did not reduce the risk of mortality in our cohort of patients, regardless of the time of administration.