Experiences in the use of multiple doses of convalescent plasma in critically ill patients with COVID-19
Aguilar, R.; Lopez-Verges, S. L.; Quintana, A.; Morris, J.; Lopez, L.; Cooke, A.; Quiel, D.; Buitron, N.; Perez, Y.; Lobo, L.; Pitti, Y.; Diaz, Y. Y.; Saenz, L.; Franco, D.; Castillo, D.; Valdespino, E.; Blanco, I.; Romero, E.; Villarreal, A.; Cubilla-Batista, I.
Show abstract
At the beginning of the SARS-CoV-2 pandemic, transfusion of COVID-19 convalescent plasma (CCP) was considered as one of the possibilities to help severe patients to overcome COVID-19 disease. The use of CCP has been controversial as its effectiveness depends on many variables from the plasma donor and the COVID-19 patient, for example, time of convalescence or symptoms onset. This was a feasibility study assessing the safety of multiple doses of CCP in mechanically ventilated intubated patients with respiratory failure due to COVID-19. Thirty (30) patients with severe respiratory failure, in ICU, with invasive mechanical ventilation received up to 5 doses of 300 to 600 ml of CP on alternate days (0,2,4,6 and 8) until extubation, futility, or death. Nineteen patients received five doses, seven received four, and four had 2 or 3 doses. On day 28 of follow-up, 57% of patients recovered and were at home and the long-term mortality observed was 27%. The ten severe adverse events reported in the study were unrelated to CCP transfusion. This study suggests that transfusion of multiple doses of convalescent plasma (CP) is safe. This strategy may represent an option to use in new studies, given the potential benefit of CCP transfusions in the early stage of infection in unvaccinated populations and in settings where monoclonal antibodies or antivirals are contraindicated or not available. Summary boxO_LITransfusion of multiple doses (up to 5 doses) of 300-600 ml of convalescent plasma from COVID-19 recovered patients is safe as it does not induce more severe effects than a single dose. C_LIO_LIIndependent of the number of transfused doses, most patients had detectable levels of total and neutralizing antibodies in plasma. C_LIO_LIFuture studies are needed to determine if multiple transfusion doses are more efficient in preventing severity than a single dose. C_LI
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Characterization of 100 sequential SARS-CoV-2 convalescent plasma donations 97%
- Patient ABO blood type is a major predictor of a positive DAT following a transfusion reaction 96%
- The risk of transfusion transmissible infection in a civilian walking blood bank using rapid diagnostic tests: A modeling study 95%
Similar papers in this journal
- Sickle red blood cell derived extracellular vesicles activate endothelial cells and enhance sickle red cell adhesion mediated by von Willebrand factor 92%
- Exploring the role of Large Language Models (LLMs) in hematology: a systematic review of applications, benefits, and limitations 92%
- Delayed-Phase Thrombocytopenia in Patients of Coronavirus Disease 2019 (COVID-19) 91%
Similar papers in this journal
- Utility of thromboelastography with platelet mapping (TEG-PM) for monitoring platelet transfusion in qualitative platelet disorders 92%
- Relieving platelet inhibition using a novel bi-specific antibody:A novel approach for circumventing the platelet storage lesion 91%
- Biomarkers of bleeding and venous thromboembolism in patients with acute leukemia 90%
Similar papers in this journal
- Early but not late convalescent plasma is associated with better survival in moderate-to-severe COVID-19 95%
- SpO 2 /FiO 2 Ratio as a Better Metric for Assessment of RBC Transfusion Effectiveness in Non-traumatic Critically Ill Patients with Physiologic Derangements 95%
- Feasibility of collecting and processing of COVID-19 convalescent plasma for treatment of COVID-19 in Uganda 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.