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Hyperimmune plasma in three immuno-deficient patients affected by non-severe, prolonged COVID-19: a single-center experience

Overview of attention for article published in BMC Infectious Diseases, July 2021
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Title
Hyperimmune plasma in three immuno-deficient patients affected by non-severe, prolonged COVID-19: a single-center experience
Published in
BMC Infectious Diseases, July 2021
DOI 10.1186/s12879-021-06321-2
Pubmed ID
Authors

Maria Grazia Cusi, Edoardo Conticini, Claudia Gandolfo, Gabriele Anichini, Gianni Gori Savellini, Serafina Valente, Federico Franchi, Sabino Scolletta, Elena Percivalle, Bruno Frediani

Abstract

Convalescent plasma (CP) and hyperimmune plasma (HP) are passive immunotherapies consisting in the infusion of plasma from recovered people into infected patients. Following pre-existing evidence in many other viral diseases, such as SARS, MERS and Ebola, CP and HP have also been proposed for the treatment of COVID-19. Nevertheless, due to the lack of large, well-designed, clinical trials, no clear-cut guidelines exist about what subtype of patient CP and HP should be administered to. We have reported the cases of 3 patients, all immunosuppressed and affected by non-severe, prolonged COVID-19. They were treated with HP, whose neutralizing titer was higher than 1/80. The first patient was a 55-year-old male, who had undergone lung transplant. He was under therapy with Tacrolimus and developed non-neutralizing antibodies against SARS-CoV2. The second patient was a 77-year-old female, affected by follicular lymphoma. She had tested positive for SARS-CoV2 after 6 months. The third was a 60-year-old patient, affected by chronic leukemia. He did not develop antibodies after 2-month disease. All 3 patients received HP and had tested negative for SARS-CoV2 within 2 weeks. Despite encouraging initial data, no strong evidence exist in support of CP and HP to treat COVID-19. In our experience, although limited due to the reduced number of patients, we found a good safety and efficacy of HP in 3 immuno-deficient subjects. Further data are needed in order to assess whether this subtype of patients may particularly benefit from passive immunization.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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 > Ph. D. Student 5 14%
Student > Master 4 11%
Student > Bachelor 4 11%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 3 8%
Unknown 16 43%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Psychology 3 8%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 19 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 August 2021.
All research outputs
#14,789,450
of 24,787,209 outputs
Outputs from BMC Infectious Diseases
#3,730
of 8,326 outputs
Outputs of similar age
#206,777
of 433,826 outputs
Outputs of similar age from BMC Infectious Diseases
#117
of 232 outputs
Altmetric has tracked 24,787,209 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,326 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 53% 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 433,826 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 50% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.