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American Heart Association

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Final ID: Mo1072

Long Noncoding RNAs to Predict COVID-19 Neuro-Cardio-Vascular Outcomes

Abstract Body (Do not enter title and authors here): Introduction/Background
Cardiovascular and neurological diseases develop in a significant proportion of COVID-19 patients. Minimally invasive tools to predict outcome after SARS-CoV-2 infection would enable personalized healthcare, potentially easing the disease burden. We showed that blood levels of the long noncoding RNA lymphoid enhancer-binding factor-1 antisense 1 (LEF1-AS1) predict COVID-19 in-hospital mortality.
Hypothesis
LEF1-AS1 is associated with long-term clinical outcomes of COVID-19.
Aim
Test the capacity of LEF1-AS1 to predict neuro-cardio-vascular outcomes post-SARS-CoV-2 infection.
Methods/Approach
We enrolled 104 primo-infected COVID-19 patients aged 18+ recruited from April to December 2020 in the PrediCOVID national cohort for which 12-month follow-up data were available (Ethics Committee approvals 202003/07 and 202310/02-SU-202003/07). Whole blood samples were collected at baseline and expression levels of LEF1-AS1 were assessed by quantitative PCR.
Results/Data
Of the 104 patients, 35 had at least one neurological symptom and one cardiovascular symptom at month 12. Levels of LEF1-AS1 at baseline were lower (p=0.019) in patients who developed neurological and cardiovascular symptoms as compared to patients who did not. Lower LEF1-AS1 was associated with symptoms development with an odds ratio of 0.48 (95% CI 0.28-0.83) from logistic regression model adjusted for age, sex, comorbidities and disease severity at baseline. Addition of LEF1-AS1 to a clinical model including age, sex, comorbidities and baseline severity yielded an incremental predictive value as attested by an increased AUC from 0.79 to 0.83 (likelihood ratio test p=0.005), a net reclassification index of 0.54 (p=0.007) and an integrated discrimination improvement of 0.08 (p=0.009).
Conclusion
Blood levels of LEF1-AS1 predict 12-month neurological and cardiovascular outcomes of COVID-19 patients. This needs to be validated in larger populations.
  • Vausort, Melanie  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Boubakeur, Hassina  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Zhang, Lu  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Fagherazzi, Guy  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Ollert, Markus  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Devaux, Yvan  ( Luxembourg Institute of Health , Strassen , Luxembourg )
  • Author Disclosures:
    Melanie Vausort: No Answer | Hassina Boubakeur: No Answer | Lu Zhang: No Answer | Guy Fagherazzi: No Answer | Markus Ollert: No Answer | Yvan Devaux: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Omics of Vascular Disease

Monday, 11/18/2024 , 10:30AM - 11:30AM

Abstract Poster Session

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