Oculomic stratification of COVID-19 patients’ intensive therapy unit admission status and mortality by retinal morphological findings
To investigate if retinal thickness has predictive utility in COVID-19 outcomes by evaluating the statistical association between retinal thickness using OCT and of COVID-19-related mortality. Secondary outcomes included associations between retinal thickness and length of stay (LoS) in hospital. In this retrospective cohort study, OCT scans from 230 COVID-19 patients admitted to the Intensive Care Unit (ITU) were compared with age and gender-matched patients with pneumonia from before March 2020. Total retinal, GCL + IPL, and RNFL thicknesses were recorded, and analysed with systemic measures collected at the time of admission and mortality outcomes, using linear regression models, Pearson's R correlation, and Principal Component Analysis. Retinal thickness was significantly associated with all-time mortality on follow up in the COVID-19 group (p = 0.015), but not 28-day mortality (p = 0.151). Retinal and GCL + IPL layer thicknesses were both significantly associated with LoS in hospital for COVID-19 patients (p = 0.006 for both), but not for patients with pneumonia (p = 0.706 and 0.989 respectively). RNFL thickness was not associated with LoS in either group (COVID-19 p = 0.097, pneumonia p = 0.692). Retinal thickness associated with LoS in hospital and long-term mortality in COVID-19 patients, suggesting that retinal structure could be a surrogate marker for frailty and predictor of disease severity in this group of patients, but not in patients with pneumonia from other causes.
Authors
- Tonny Veenith (ORCID: https://orcid.org/0000-0002-4125-8804)
- Matthew Taylor (ORCID: https://orcid.org/0000-0001-9480-4832)
- Ella Courtie
- Thomas Jackson (ORCID: https://orcid.org/0000-0001-6320-9600)
- Ann Logan (ORCID: https://orcid.org/0000-0003-3215-5042)
- Animesh Acharjee (ORCID: https://orcid.org/0000-0001-8717-3147)
- Richard James Blanch (ORCID: https://orcid.org/0000-0002-6142-3280)
- Dominic Danks
Institutions
- Turing Institute (GB)
- University Hospitals Birmingham NHS Foundation Trust (GB)
- Queen Elizabeth Hospital Birmingham (GB)
- British Library (GB)
- Royal Navy (GB)
- University of Warwick (GB)
- NIHR Surgical Reconstruction and Microbiology Research Centre (GB)
- Health Data Research UK (GB)
- Teer Coatings (United Kingdom) (GB)
- Birmingham Women’s and Children’s NHS Foundation Trust (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1038/s41598-024-68543-z
- Primary Topic
- Retinal and Optic Conditions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Surgical Reconstruction and Microbiology Research Centre