ABSTRACT
The COVID-19 pandemic has significantly changed the understanding of the safety profile of therapies for immunoinflammatory rheumatic diseases (IRDs). This is primarily due to the negative impact of a number of basic anti-inflammatory drugs (DMARDs) and biological DMARDs on the course and outcomes of a new coronavirus infection. A number of studies have shown that anti-B-cell therapy (rituximab) gave a statistically significant increase in the risk of severe COVID-19 and an increase in mortality. At the same time, the analysis of real clinical practice data dictated the need to establish a number of restrictions on the use of certain classes of biological DMARDs and to search for alternative therapy programs to maintain control over disease activity. Purpose of the study - to evaluate the efficacy and safety of the drug Artlegia (olokizumab), solution for subcutaneous injection, 160 mg/ml - 0.4 ml, manufactured by R-Pharm JSC, Russia) for the treatment of patients with rheumatoid arthritis in real clinical practice after switching with rituximab during the COVID-19 pandemic. Materials and methods. The study included 14 patients with a confirmed diagnosis of rheumatoid arthritis (RA), who were previously on rituximab therapy at a dose of 1000-500 mg twice with an interval of 2 weeks, who received at least one course of therapy with this drug. As RA worsened, patients were switched to olokizumab against the background of standard DMARDs. At 4, 8, 12 weeks after the switch, the severity of pain was assessed on the VAS scale, the number of painful and swollen joints (TJC28 and TSC28), the level of acute phase markers of inflammation, the DAS28 disease activity index calculated using ESR and CRP, and the CDAI (clinical activity index), functional state index HAQ, as well as assessment of the safety profile of therapy. Results. Data analysis was performed using median values (Me) were used for data analysis. A significant decrease of TJC28 was after the injection of olokizumab (Artlegia) in 8 and 12 weeks (Me baseline = 10;Me 8 weeks = 4;Me 12 weeks = 4;p<0.05) and a decrease of TSC28 in 4, 8 and 12 weeks (Me baseline = 9;Me 4 weeks = 3.5;Me 8 weeks = 2.5;Me 12 weeks = 2.0;p<0.05). Laboratory markers of inflammation showed a decrease in CRP and ESR levels after 4 weeks of treatment (CRP: Me baseline = 21, Me 4 weeks = 1 (p<0.05);ESR: Me baseline = 31, Me 4 weeks = 7 (p<0.05)). Positive dynamics persisted at 8 and 12 weeks (CRP: Me 8 weeks = 1, Me 12 weeks = 0;ESR: Me 8 weeks = 4, Me 12 weeks = 5). The level of CRP by the fourth week 4 became within the normal range, regardless of the initial values. All activity indices improved from the fourth week in each evaluation period compared to baseline: DAS28-ESR: Me baseline = 5.52, Me 4 weeks = 3.59, Me 8 weeks = 3.33, Me 12 weeks = 3.22 (p<0.05);DAS28-CRP: Me baseline = 5.39, Me 4 weeks = 3.71, Me 8 weeks = 3.35, Me 12 weeks = 3.45 (p<0.05);CDAI: Me baseline = 28.5, Me 4 weeks = 18.0, Me 8 weeks = 16.5, Me 12 weeks = 16.0 (p<0.05). All patients showed a reduction in pain (VAS scale) by week 8. The functional status of patients, according to the HAQ index, showed a significant decrease only by the 12th week of the study: Me baseline = 1.62, Me 12 weeks = 1.31 (p<0.05). Conclusion. The study found that switching from rituximab to olokizumab was effective and safe during the COVID-19 pandemic.Copyright © 2023 Ima-Press Publishing House. All rights reserved.
ABSTRACT
Background: The impact of COVID-19 pandemic has been highly heterogeneous across the globe and different regions within the country. The differences in the outcome of these patients is related to their demographic profile, genetics, socio-economic conditions, and government health policies. Prior to the COVID-19 pandemic, the Healthcare Access and Quality (HAQ) Index for hematological malignancies (HAQ index <30) in a low-middle socio-demographic index(SDI) country like India was less than the mean HAQ index for all other diseases (HAQ index 41) with a significant regional disparity.(1)Several national and international registries from high socio-demographic Index (SDI) countries have reported worse short-term outcomes of coronavirus disease (COVID-19) in patients with hematologic as compared to other solid cancers. The outcomes of COVID-19 in patients with hematologic malignancies from a low-middle SDI country are yet unknown. The COVID-19 Hematologic Cancer registry of India reports these outcomes from India. Methods: Ten tertiary referral hospitals across India reported the demographic, clinical, laboratory, treatment, and outcomes of COVID-19 infection in patients with hematological malignancies. The registry was retrospective from March 21, 2020, and prospective from November 1, 2020, till March 20, 2021. Risk factors associated with severity and mortality were evaluated using the penalised logistic regression and Cox proportional hazards model. Findings: Data from 565 patients was included in this study. Among these, 429 (76%) patients were hospitalized, 186 (33%) patients had moderate/severe COVID-19.There were 116 (20.5%) non-survivors at a mean follow up of 147 (95% CI : 142-153) days. Age >60 years (HR 2·55, 1·23 - 5·27), diagnosis of acute myeloid leukemia (HR 2·85, 1·58 - 5·13), interruption or alteration of anticancer therapy (HR 2·78, 1·65 - 4·68), and post hematopoietic cell transplant status (HR 3·68, 1·82 - 7·45) predicted mortality. In contrast, increasing age [20-40 years (OR 2·54, 1·32 - 4·90), 41-60 years (OR 3·51, 1·84 - 6·71), >60 years (OR 6·04, 3·01 - 12·10), comorbidities such as diabetes mellitus (OR 1·89, 1·18 - 3·04), hypertension (OR 1·94, 1·17 - 3·19), diagnosis of AML (OR 3·70, 2·06 - 6·67), indolent non-hodgkin lymphoma (OR 3·20, 1·68 - 6·09), multiple myeloma (OR 2·88, 1·64 - 5·05), malignancy not being in remission (OR 1·71, 1·12 - 2·60)were significantly associated with severe COVID-19 on univariate analysis. Of these, only increasing age [20-40 years (OR 2·60 (1·31 - 5·15), 40-60 years (OR 3·44, 1.60 - 7·41), more than 60 years (OR 5·70, 2·43 - 13·35)], AML (OR 2·73, 1·45 - 5·12), and malignancy not being in remission (OR 1·85, 1·18 - 2·89) were significantly associated with severe COVID-19 on multivariable analysis Conclusion: The overall mortality from COVID-19 infection of the entire cohort was 20.5%;the mortality was 46.2% in patients who had moderate to severe disease COVID-19 illness. Similar to previous studies, age, diagnosis of acute myeloid leukemia and a post stem cell transplant status was associated with mortality. In addition, interruption or de-escalation of anticancer therapy during Covid-19 infection was identified as an important factor associated with higher mortality on follow up in the current study. References 1. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016. Lancet (London, England)2018;391(10136): 2236-71.Lee AJX, Purshouse K. COVID-19 and cancer registries: learning from the first peak of the SARS-CoV-2 pandemic. Br J Cancer 2021;124(11): 1777-84. [Formula presented] Disclosures: No relevant conflicts of interest to declare.
ABSTRACT
In addition to the absolute case number, a rapid increase in the number of COVID-19 cases within a short time results in insufficiency of healthcare systems and further negatively affects patient outcomes. This study was conducted to investigate the association between the outcomes of COVID-19 patients and daily cumulative index (DCI), which was defined as the average daily number of new cases of COVID-19 and calculated by cumulative cases/number of days between the first reported case and March 6, 2020, by country. Spearman's rank correlation analyses were conducted to evaluate the relationship between mortality, incidence, and DCI. In this study, DCI was positively correlated with incidence (adjusted risk ratio [aRR] = 1.01, 95% confidence interval [CI] = 1.00-1.02, P < 0.01). Higher correlation was observed between mortality and DCI (mortality rate: r = 0.397, P = 0.018; mortality per 1 000 000 people: r = 0.0.428, P = 0.004) than between disease incidence and DCI. DCI remained statistically significantly associated with mortality per 1 000 000 people after adjustment of Health Care Index (aRR = 1.02, 95% CI = 1.01-1.03, P < 0.001) or Healthcare Access and Quality Index (aRR = 1.02, 95% CI = 1.01-1.04, P < 0.01. Reducing DCI through strict infection control measures can help slow the number of new COVID-19 cases and further improve outcomes in COVID-19 patients.