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SARS-CoV-2 IgG Levels Allow Predicting the Optimal Time Span of Convalescent Plasma Donor Suitability.
Laner-Plamberger, Sandra; Lindlbauer, Nadja; Weidner, Lisa; Gänsdorfer, Simon; Weseslindtner, Lukas; Held, Nina; Lauth, Wanda; Zimmermann, Georg; Kern, Jan Marco; Föttinger, Fabian; Ombres, Laura; Jungbauer, Christof; Rohde, Eva; Grabmer, Christoph.
  • Laner-Plamberger S; Department for Transfusion Medicine, University Hospital of Salzburg, Paracelsus Medical University Salzburg, Müllner-Hauptstraße 48, 5020 Salzburg, Austria.
  • Lindlbauer N; Department for Transfusion Medicine, University Hospital of Salzburg, Paracelsus Medical University Salzburg, Müllner-Hauptstraße 48, 5020 Salzburg, Austria.
  • Weidner L; Austrian Red Cross, Blood Service for Vienna, Lower Austria and Burgenland, Wiedner Hauptstraße 32, 1040 Vienna, Austria.
  • Gänsdorfer S; Austrian Red Cross, Blood Service for Vienna, Lower Austria and Burgenland, Wiedner Hauptstraße 32, 1040 Vienna, Austria.
  • Weseslindtner L; Department for Virology, Medical University Vienna, Kinderspitalgasse 15, 1090 Vienna, Austria.
  • Held N; Department for Transfusion Medicine, University Hospital of Salzburg, Paracelsus Medical University Salzburg, Müllner-Hauptstraße 48, 5020 Salzburg, Austria.
  • Lauth W; Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University Salzburg, Strubergasse 16, 5020 Salzburg, Austria.
  • Zimmermann G; Research and Innovation Management, Paracelsus Medical University Salzburg, Strubergasse 16, 5020 Salzburg, Austria.
  • Kern JM; Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University Salzburg, Strubergasse 16, 5020 Salzburg, Austria.
  • Föttinger F; Research and Innovation Management, Paracelsus Medical University Salzburg, Strubergasse 16, 5020 Salzburg, Austria.
  • Ombres L; Department for Clinical Microbiology and Hygiene, University Hospital of Salzburg, Paracelsus Medical University Salzburg, Müllner-Hauptstraße 48, 5020 Salzburg, Austria.
  • Jungbauer C; Department for Transfusion Medicine, University Hospital of Salzburg, Paracelsus Medical University Salzburg, Müllner-Hauptstraße 48, 5020 Salzburg, Austria.
  • Rohde E; Department for Transfusion Medicine, University Hospital of Salzburg, Paracelsus Medical University Salzburg, Müllner-Hauptstraße 48, 5020 Salzburg, Austria.
  • Grabmer C; Austrian Red Cross, Blood Service for Vienna, Lower Austria and Burgenland, Wiedner Hauptstraße 32, 1040 Vienna, Austria.
Diagnostics (Basel) ; 12(11)2022 Oct 22.
Article in English | MEDLINE | ID: covidwho-2082066
ABSTRACT
Convalescent plasma (CP) has been in use for the treatment of numerous infectious diseases for more than a century, recently also for coronavirus disease 2019 (COVID-19). A major challenge for this treatment is identifying suitable donors with sufficient levels of functional antibodies and to determine the optimal time span for CP donation. In this retrospective study, we analyzed 189 CP donations of 66 donors regarding anti-SARS-CoV-2 anti-S IgG antibody levels. We found a significant correlation between the semi-quantitative SARS-CoV-2 IgG ratio values and in vitro antibody functionality. A time-to-event analysis allowed us to predict the optimal time span of COVID-19 CP donor suitability. We found that high IgG ratio values, which significantly correlate with high in vitro antibody functionality, were suitable for CP donation for a median of 134 days after the first CP donation. Donors with lower IgG ratios were suitable for a median of 53 days. Our data support plasma collection centers to determine optimal points in time for CP donation by means of widely used semi-quantitative laboratory IgG ratio values.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics12112567

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics12112567