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1.
Arthritis Rheumatol ; 2022 Aug 05.
Artículo en Inglés | MEDLINE | ID: covidwho-2244064

RESUMEN

OBJECTIVE: This clinical trial was conducted to investigate whether discontinuing methotrexate (MTX) for 1 week after seasonal influenza vaccination is noninferior to discontinuing for 2 weeks after vaccination in patients with rheumatoid arthritis (RA). METHODS: In this multicenter, prospective, randomized, parallel-group noninferiority trial, RA patients receiving a stable dose of MTX were randomly assigned at a ratio of 1:1 to discontinue MTX for 1 week or for 2 weeks after they received the quadrivalent 2021-2022 seasonal influenza vaccine containing H1N1, H3N2, B/Yamagata, and B/Victoria strains. The primary outcome measure was the proportion of patients with a satisfactory vaccine response, which was defined as ≥4-fold increase in antibody titers, as determined with the hemagglutination inhibition assay, against ≥2 of the 4 vaccine strains at 4 weeks after vaccination. RESULTS: The modified intent-to-treat population included 90 patients in the 1-week MTX hold group and 88 patients in the 2-week MTX hold group. The mean ± SD MTX doses were 12.6 ± 3.4 mg/week in the 1-week MTX hold group and 12.9 ± 3.3 mg/week in the 2-week MTX hold group. The proportion of satisfactory vaccine responses did not differ between the groups (68.9% versus 75.0%; P = 0.364). The rate of seroprotection and the fold increase in antibody titers for each of the 4 influenza antigens were similar between the groups. CONCLUSION: A temporary discontinuation of MTX for 1 week after vaccination was noninferior to a discontinuation of MTX for 2 weeks after vaccination, regarding induction of a satisfactory vaccine response to a seasonal influenza vaccine in patients with RA receiving a stable dose of MTX.

3.
Sci Rep ; 11(1): 13026, 2021 06 22.
Artículo en Inglés | MEDLINE | ID: covidwho-1279902

RESUMEN

The objective of the study was to develop and validate a prediction model that identifies COVID-19 patients at risk of requiring oxygen support based on five parameters: C-reactive protein (CRP), hypertension, age, and neutrophil and lymphocyte counts (CHANeL). This retrospective cohort study included 221 consecutive COVID-19 patients and the patients were randomly assigned randomly to a training set and a test set in a ratio of 1:1. Logistic regression, logistic LASSO regression, Random Forest, Support Vector Machine, and XGBoost analyses were performed based on age, hypertension status, serial CRP, and neutrophil and lymphocyte counts during the first 3 days of hospitalization. The ability of the model to predict oxygen requirement during hospitalization was tested. During hospitalization, 45 (41.8%) patients in the training set (n = 110) and 41 (36.9%) in the test set (n = 111) required supplementary oxygen support. The logistic LASSO regression model exhibited the highest AUC for the test set, with a sensitivity of 0.927 and a specificity of 0.814. An online risk calculator for oxygen requirement using CHANeL predictors was developed. "CHANeL" prediction models based on serial CRP, neutrophil, and lymphocyte counts during the first 3 days of hospitalization, along with age and hypertension status, provide a reliable estimate of the risk of supplement oxygen requirement among patients hospitalized with COVID-19.


Asunto(s)
Proteína C-Reactiva/análisis , COVID-19/patología , Hipertensión/complicaciones , Linfocitos/citología , Neutrófilos/citología , Terapia por Inhalación de Oxígeno , Factores de Edad , Anciano , Área Bajo la Curva , Biomarcadores/análisis , Biomarcadores/metabolismo , COVID-19/complicaciones , COVID-19/virología , Femenino , Humanos , Modelos Logísticos , Linfocitos/metabolismo , Masculino , Persona de Mediana Edad , Neutrófilos/metabolismo , Curva ROC , Estudios Retrospectivos , SARS-CoV-2/aislamiento & purificación , Índice de Severidad de la Enfermedad , Máquina de Vectores de Soporte
4.
Sci Rep ; 11(1): 8080, 2021 04 13.
Artículo en Inglés | MEDLINE | ID: covidwho-1182872

RESUMEN

The objective of the study was to identify distinct patterns in inflammatory immune responses of COVID-19 patients and to investigate their association with clinical course and outcome. Data from hospitalized COVID-19 patients were retrieved from electronic medical record. Supervised k-means clustering of serial C-reactive protein levels (CRP), absolute neutrophil counts (ANC), and absolute lymphocyte counts (ALC) was used to assign immune responses to one of three groups. Then, relationships between patterns of inflammatory responses and clinical course and outcome of COVID-19 were assessed in a discovery and validation cohort. Unbiased clustering analysis grouped 105 patients of a discovery cohort into three distinct clusters. Cluster 1 (hyper-inflammatory immune response) was characterized by high CRP levels, high ANC, and low ALC, whereas Cluster 3 (hypo-inflammatory immune response) was associated with low CRP levels and normal ANC and ALC. Cluster 2 showed an intermediate pattern. All patients in Cluster 1 required oxygen support whilst 61% patients in Cluster 2 and no patient in Cluster 3 required supplementary oxygen. Two (13.3%) patients in Cluster 1 died, whereas no patient in Clusters 2 and 3 died. The results were confirmed in an independent validation cohort of 116 patients. We identified three different patterns of inflammatory immune response to COVID-19. Hyper-inflammatory immune responses with elevated CRP, neutrophilia, and lymphopenia are associated with a severe disease and a worse outcome. Therefore, targeting the hyper-inflammatory response might improve the clinical outcome of COVID-19.


Asunto(s)
COVID-19/patología , Inmunidad , Adulto , Anciano , Proteína C-Reactiva/análisis , COVID-19/inmunología , COVID-19/virología , Análisis por Conglomerados , Femenino , Humanos , Linfocitos/citología , Masculino , Persona de Mediana Edad , Neutrófilos/citología , Factores de Riesgo , SARS-CoV-2/aislamiento & purificación
5.
J Korean Med Sci ; 36(12): e95, 2021 Mar 29.
Artículo en Inglés | MEDLINE | ID: covidwho-1158343

RESUMEN

The coronavirus disease 2019 (COVID-19) pandemic has caused more than 100 million infections and 2 million deaths worldwide. In up to 20% of cases, COVID-19 infection can take a severe, life-threatening course. Therefore, preventive measures such as mask-wearing, hand hygiene, and social distancing are important. COVID-19 vaccines that use novel vaccine technology can prevent up to 95% of infections. However, the uncertainty regarding the efficacy and safety of vaccination in patients with autoimmune inflammatory rheumatic disease (AIIRD), who are immunocompromised due to underlying immune dysfunction and concomitant immunosuppressive treatment, warrants clear guidance. A task force of the Korean College of Rheumatology formulated a set of vaccination guidance based on the currently available data and expert consensus. The currently available COVID-19 vaccines are considered to be safe and effective. Every patient with AIIRD should receive one of the available COVID-19 vaccines unless contraindicated for medical reasons such as prior allergy/anaphylaxis to the COVID-19 vaccine or its components. Patients should continue immunosuppressive treatment for their underlying AIIRD, including biological and targeted synthetic disease-modifying anti-rheumatic drugs (b/tsDMARDs). Corticosteroids should be reduced to the lowest dose possible without aggravating the AIIRD. To improve the vaccine response, methotrexate can be withheld for 1-2 weeks after each vaccination, and the timing of rituximab and abatacept infusion should be adjusted if clinically acceptable. Rheumatologists should play a leading role in educating and vaccinating patients with AIIRD.


Asunto(s)
Enfermedades Autoinmunes/tratamiento farmacológico , Vacunas contra la COVID-19/inmunología , COVID-19/prevención & control , Guías de Práctica Clínica como Asunto , Enfermedades Reumáticas/tratamiento farmacológico , SARS-CoV-2/inmunología , Vacunación , Antirreumáticos/uso terapéutico , Enfermedades Autoinmunes/inmunología , Humanos , Inmunosupresores/uso terapéutico , Enfermedades Reumáticas/inmunología
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