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Risk Factors for Infection, Predictors of Severe Disease, and Antibody Response to COVID-19 in Patients With Inflammatory Rheumatic Diseases in Portugal—A Multicenter, Nationwide Study

Overview of attention for article published in Frontiers in Medicine, June 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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8 X users

Citations

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37 Mendeley
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Title
Risk Factors for Infection, Predictors of Severe Disease, and Antibody Response to COVID-19 in Patients With Inflammatory Rheumatic Diseases in Portugal—A Multicenter, Nationwide Study
Published in
Frontiers in Medicine, June 2022
DOI 10.3389/fmed.2022.901817
Pubmed ID
Authors

Ana Rita Cruz-Machado, Sofia C. Barreira, Matilde Bandeira, Marc Veldhoen, Andreia Gomes, Marta Serrano, Catarina Duarte, Maria Rato, Bruno Miguel Fernandes, Salomé Garcia, Filipe Pinheiro, Miguel Bernardes, Nathalie Madeira, Cláudia Miguel, Rita Torres, Ana Bento Silva, Jorge Pestana, Diogo Almeida, Carolina Mazeda, Filipe Cunha Santos, Patrícia Pinto, Marlene Sousa, Hugo Parente, Graça Sequeira, Maria José Santos, João Eurico Fonseca, Vasco C. Romão

Abstract

To identify risk factors for SARS-CoV-2 infection and for severe/critical COVID-19, and to assess the humoral response after COVID-19 in these patients. Nationwide study of adult patients with inflammatory RMDs prospectively followed in the Rheumatic Diseases Portuguese Register-Reuma.pt-during the first 6 months of the pandemic. We compared patients with COVID-19 with those who did not develop the disease and patients with mild/moderate disease with those exhibiting severe/critical COVID-19. IgG antibodies against SARS-CoV-2 were measured ≥3 months after infection and results were compared with matched controls. 162 cases of COVID-19 were registered in a total of 6,363 appointments. Patients treated with TNF inhibitors (TNFi; OR = 0.160, 95% CI 0.099-0.260, P < 0.001) and tocilizumab (OR 0.147, 95% CI 0.053-0.408, P < 0.001) had reduced odds of infection. Further, TNFi tended to be protective of severe and critical disease. Older age, major comorbidities, and rituximab were associated with an increased risk of infection and worse prognosis. Most patients with inflammatory RMDs (86.2%) developed a robust antibody response. Seroconversion was associated with symptomatic disease (OR 13.46, 95% CI 2.21-81.85, P = 0.005) and tended to be blunted by TNFi (OR 0.17, 95% CI 0.03-1.05; P = 0.057). TNFi and tocilizumab reduced the risk of infection by SARS-CoV-2. Treatment with TNFi also tended to reduce rates of severe disease and seroconversion. Older age, general comorbidities and rituximab were associated with increased risk for infection and worse prognosis, in line with previous reports. Most patients with RMDs developed a proper antibody response after COVID-19, particularly if they had symptomatic disease.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 10 27%
Student > Bachelor 6 16%
Student > Master 4 11%
Student > Postgraduate 4 11%
Other 3 8%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 21 57%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 2 5%
Sports and Recreations 2 5%
Agricultural and Biological Sciences 2 5%
Other 2 5%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 August 2022.
All research outputs
#7,994,598
of 25,461,852 outputs
Outputs from Frontiers in Medicine
#2,098
of 7,211 outputs
Outputs of similar age
#149,694
of 445,009 outputs
Outputs of similar age from Frontiers in Medicine
#170
of 597 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,211 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 445,009 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.