A Pilot Study of Application of the Stroke Riskometer Mobile App for Assessment of the Course and Clinical Outcomes of Covid-19 Among Hospitalised Patients

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aut.relation.journalCerebrovascular Diseases Extra
dc.contributor.authorMerkin, Alexander
dc.contributor.authorAkinfieva, Sofya
dc.contributor.authorMedvedev, Oleg N
dc.contributor.authorKrishnamurthi, Rita V
dc.contributor.authorGutsaluk, Alexey
dc.contributor.authorReips, Ulf-Dietrich
dc.contributor.authorKuliev, Rufat
dc.contributor.authorDinov, Evgeny
dc.contributor.authorNikiforov, Igor
dc.contributor.authorShamalov, Nikolay
dc.contributor.authorShafran, Polina
dc.contributor.authorPopova, Lyudmila
dc.contributor.authorBurenchev, Dmitry
dc.contributor.authorFeigin, VL
dc.date.accessioned2023-02-21T03:36:42Z
dc.date.available2023-02-21T03:36:42Z
dc.date.copyright2023
dc.date.issued2023
dc.description.abstractBACKGROUND: Early determination of COVID-19 severity and health outcomes could facilitate better treatment of patients. Different methods and tools have been developed for predicting outcomes of COVID-19, but they are difficult to use in routine clinical practice. METHODS: We conducted a prospective cohort study of inpatients aged 20-92 years, diagnosed with COVID-19 to determine whether their individual 5-year absolute risk of stroke at the time of hospital admission predicts the course of COVID-19 severity and mortality. The risk of stroke was determined by the Stroke Riskometer mobile application. RESULTS: We examined 385 patients hospitalised with COVID-19 (median age 61 years). The participants were categorised based on COVID-19 severity: 271 (70.4%) to the "Not severe" and 114 (29.6%) to the "Severe" groups. The median risk of stroke the next day after hospitalisation was significantly higher among patients in the Severe group (2.83 [95% CI 2.35-4.68]) vs the Not severe group (1.11 [95% CI 1.00-1.29]). The median risk of stroke and median systolic blood pressure (SBP) were significantly higher among non-survivors (12.04 [95% CI 2.73-21.19]) and (150 [95% CI 140-170]) vs survivors (1.31 [95% CI 1.14-1.52]), 134 [95% CI 130-135]), respectively. Those who spent more than 2.5 hours a week on physical activity were 3.1 times more likely to survive from COVID-19. Those who consumed more than one standard alcohol drink a day, or suffered with atrial fibrillation, or had poor memory were 2.5, 2.3, and 2.6 times more likely not to survive from COVID-19, respectively. CONCLUSIONS: High risk of stroke, physical inactivity, alcohol intake, high SBP, and atrial fibrillation are associated with severity and mortality of COVID-19. Our findings suggest that the Stroke Riskometer app could be used as a simple predictive tool of COVID-19 severity and mortality.
dc.identifier.citationCerebrovascular Diseases Extra, ISSN: 1664-5456 (Print); 1664-5456 (Online), Karger Publishers. doi: 10.1159/000529277
dc.identifier.doi10.1159/000529277
dc.identifier.issn1664-5456
dc.identifier.issn1664-5456
dc.identifier.urihttps://hdl.handle.net/10292/15884
dc.languageeng
dc.publisherKarger Publishers
dc.relation.urihttp://dx.doi.org/10.1159/000529277
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectPrevention
dc.subjectClinical Research
dc.subjectCardiovascular
dc.subjectStroke
dc.subjectBrain Disorders
dc.subjectNeurosciences
dc.subjectRehabilitation
dc.subject4 Detection, screening and diagnosis
dc.subject4.2 Evaluation of markers and technologies
dc.subjectStroke
dc.subjectCardiovascular
dc.subject3 Good Health and Well Being
dc.titleA Pilot Study of Application of the Stroke Riskometer Mobile App for Assessment of the Course and Clinical Outcomes of Covid-19 Among Hospitalised Patients
dc.typeJournal Article
pubs.elements-id491673
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