A novel algorithm for cardiovascular screening using conjunctival microcirculatory parameters and blood biomarkers
- PMID: 35449196
- PMCID: PMC9023476
- DOI: 10.1038/s41598-022-10491-7
A novel algorithm for cardiovascular screening using conjunctival microcirculatory parameters and blood biomarkers
Abstract
Microvascular haemodynamic alterations are associated with coronary artery disease (CAD). The conjunctival microcirculation can easily be assessed non-invasively. However, the microcirculation of the conjunctiva has not been previously explored in clinical algorithms aimed at identifying patients with CAD. This case-control study involved 66 patients with post-myocardial infarction and 66 gender-matched healthy controls. Haemodynamic properties of the conjunctival microcirculation were assessed with a validated iPhone and slit lamp-based imaging tool. Haemodynamic properties were extracted with semi-automated software and compared between groups. Biomarkers implicated in the development of CAD were assessed in combination with conjunctival microcirculatory parameters. The conjunctival blood vessel parameters and biomarkers were used to derive an algorithm to aid in the screening of patients for CAD. Conjunctival blood velocity measured in combination with the blood biomarkers (N-terminal pro-brain natriuretic peptide and adiponectin) had an area under receiver operator characteristic curve (AUROC) of 0.967, sensitivity 93.0%, specificity 91.5% for CAD. This study demonstrated that the novel algorithm which included a combination of conjunctival blood vessel haemodynamic properties, and blood-based biomarkers could be used as a potential screening tool for CAD and should be validated for potential utility in asymptomatic individuals.
© 2022. The Author(s).
Conflict of interest statement
Mark Ruddock, Mary Jo Kurth, Joanne Watt, and John Lamont are employees of Randox Laboratories Ltd but hold no shares in the Company. Peter Fitzgerald is the Managing Director and owner of Randox Laboratories Ltd. A patent has been filed to protect the biomarkers and biomarker combinations disclosed in this study.
Figures
References
- 
    - Institute of Health Metrix and Evaluations [IHME]. Global burden of disease study 2017. Lancet (2017).
 
- 
    - Braun MM, Stevens WA. Stable coronary artery disease: Treatment. Am. Fam. Physician. 2018;97:376–384. - PubMed
 
- 
    - British Heart Foundation. UK Factsheet, 1–21 (British Heart Foundation, 2020).
 
- 
    - World Economic Forum. The Global Economic Burden of Non-communicable Diseases, Harvard School of Public Health. (2011).
 
- 
    - Wilkins E, et al. European Cardiovascular Disease Statistics 2017 edition. European Heart Network; 2017. p. 192.
 
MeSH terms
Substances
LinkOut - more resources
- Full Text Sources
- Other Literature Sources
- Miscellaneous
 
         
               
              