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Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19?
Yoganandamoorthy, Sarangini; Munasinghe, M A D S N; Wanigasuriya, L V U; Priyankara, M K K; Jayasinghe, Saroj.
  • Yoganandamoorthy S; Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 00800, Sri Lanka. Electronic address: sarangini.y@gmail.com.
  • Munasinghe MADSN; Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 00800, Sri Lanka.
  • Wanigasuriya LVU; Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 00800, Sri Lanka.
  • Priyankara MKK; University of Moratuwa, Jendo Innovations (Pvt) Ltd, Sri Lanka. Electronic address: keerthi@effectivesolutions.lk.
  • Jayasinghe S; Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 00800, Sri Lanka. Electronic address: saroj@clinmed.cmb.ac.lk.
Med Hypotheses ; 144: 110229, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-739953
ABSTRACT
The COVID-19 pandemic caused by the SARS-CoV-2 virus has infected millions and overburdened the healthcare infrastructure globally. Recent studies show that the endothelial dysfunction caused by the virus contributes to its high morbidity and mortality. A parameter that can identify patients who will develop complications early will be valuable in patient management and reducing the burden on medical resources. An emerging technology is currently being tested to predict the cardiovascular risk via non-invasively measuring the endothelial dysfunction. This paper reviews how the assessment of endothelial dysfunction using this technology can be used as a potential parameter in the prognostication and management of COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vascular Diseases / Endothelium, Vascular / Comorbidity / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Male Language: English Journal: Med Hypotheses Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vascular Diseases / Endothelium, Vascular / Comorbidity / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Male Language: English Journal: Med Hypotheses Year: 2020 Document Type: Article