Using machine learning to predict antibody response to SARS-CoV-2 vaccination in solid organ transplant recipients: the multicentre ORCHESTRA cohort.

ABSTRACT:

Objectives

The study aim was to assess predictors of negative antibody response (AbR) in solid organ transplant (SOT) recipients after the first booster of SARS-CoV-2 vaccination.

Methods

Solid organ transplant recipients receiving SARS-CoV-2 vaccination were prospectively enrolled (March 2021-January 2022) at six hospitals in Italy and Spain. AbR was assessed at first dose (t₀), second dose (t₁), 3 ± 1 month (t₂), and 1 month after third dose (t₃). Negative AbR at t₃ was defined as an anti-receptor binding domain titre <45 BAU/mL. Machine learning models were developed to predict the individual risk of negative (vs. positive) AbR using age, type of transplant, time between transplant and vaccination, immunosuppressive d

SUBMITTER: Giannella M 

PROVIDER: S-EPMC10212001 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature