Predictors of Su et al for Post-Acute COVID-19 Sequelae (PASC, Long Covid)

Description

Su et al reported 4 factors predictive of the post-acute COVID-19 sequelae. These can help to identify a patient who may benefit from more aggressive management and closer follow-up. The authors are from multiple institutions in the United States and Europe.

Patient selection: COVID-19

Predictors of post-acute COVID-19 sequelae (PASC):

(1) diabetes type 2

(2) SARS-CoV-2 RNAemia

(3) Epstein-Barr virus (EBV) viremia (reflecting reactivation)

(4) presence of autoantibodies (anti-interferon alpha 2, anti-Ro/SSa, anti-La/SSb, anti-U1-snRNP, anti-Jo-1, anti-P1)

where:

• The autoantibody panel is based on SLE. Other autoantibodies may be present.

• The level of protective antiCOVID-19 antibodies tended to decline as the titer of autoantibodies increased.

Factors associated with 3 or more long Covid symptoms:

(1) female sex

(2) COPD

(3) higher RBC count at COVID-19 diagnosis

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Predictors of Su et al for Post-Acute COVID-19 Sequelae (PASC, Long Covid)

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