Stroke Units Necessity for Patients, Web- Based SUN4P Registry: Descriptive Characteristics of the Population

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Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Stroke Units Necessity for Patients, Web- Based SUN4P Registry: Descriptive Characteristics of the Population
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
The aim of this study was to present the descriptive characteristics of the Stroke Units Necessity for Patients (SUN4P) registry. Methods: The study population derived from the web-based SUN4P registry included 823 patients with first-ever acute stroke. Descriptive statistics were used to present patients' characteristics. Results: The vast majority of patients (80.4%) had an ischemic stroke, whereas 15.4% had a hemorrhagic stroke. Hypertension was the leading risk factor in both patients. The patients with ischemic stroke had higher prevalence of traditional cardiovascular risk factors such as diabetes mellitus, dyslipidemia and smoking and most commonly cryptogenic stroke (39%). National Institutes of Health Stroke Scale (NIHSS) was higher among patients with hemorrhagic in comparison to those with ischemic stroke (10.5 vs 6 respectively). Moreover, all patients had similar rate of disability prior to stroke, as shown by Modified Rankin Scale (mRS=0). Conclusions: These data are in accordance with current evidence and should be thoroughly assessed in order to ensure optimal therapeutic management of stroke patients. © 2022 The authors and IOS Press.
Έτος δημοσίευσης:
2022
Συγγραφείς:
Mavraganis, G.
Korompoki, E.
Tsampalas, E.
Garefou, D.
Alexopoulou, H.
Lypiridou, M.
Kalliontzakis, I.
Fragkoulaki, A.
Kouridaki, A.
Tountopoulou, A.
Kouzi, I.
Vassilopoulou, S.
Karagkiozi, E.
Louka, A.-M.
Manios, E.
Vemmou, A.
Savopoulos, C.
Dimas, G.
Myrou, A.
Milionis, H.
Siopis, G.
Evaggelou, H.
Protogerou, A.
Samara, S.
Karapiperi, A.
Kakaletsis, N.
Karagkouni, I.
Konstantakopoulou, O.
Galanis, P.
Kaitelidou, D.
Papastefanatos, S.
Vemmos, K.
Ntaios, G.
Siskou, O.
Περιοδικό:
Studies in Health Technology and Informatics
Εκδότης:
IOS Press BV
Τόμος:
289
Σελίδες:
325-328
Λέξεις-κλειδιά:
Medical informatics, Acute stroke; Descriptive statistics; Disease management; Hemorrhagic stroke; Ischemic strokes; Organization of acute stroke care; Stroke; Stroke care; Web based, Websites, brain ischemia; cerebrovascular accident; human; Internet; register; risk factor, Brain Ischemia; Humans; Internet; Registries; Risk Factors; Stroke
Επίσημο URL (Εκδότης):
DOI:
10.3233/SHTI210925
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