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  • Ovid Technologies (Wolters Kluwer Health)  (2)
  • 1
    Online Resource
    Online Resource
    Risk of Cerebrovascular Events in Intracerebral Hemorrhage Survivors With Atrial Fibrillation: A Nationwide Cohort Study
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Stroke Vol. 53, No. 8 ( 2022-08), p. 2559-2568
    Details
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 53, No. 8 ( 2022-08), p. 2559-2568
    Abstract: In patients with intracerebral hemorrhage (ICH) and prevalent atrial fibrillation (AF), the optimal stroke prevention strategy is unclear. We sought to estimate the risk of cerebrovascular events among ICH survivors with AF. Methods: We used the Danish Stroke Registry to identify patients with incident ICH and prevalent AF between 2003 and 2018. Key inclusion/exclusion criteria of the PRESTIGE-AF (Prevention of Stroke in Intracerebral hemorrhage Survivors With Atrial Fibrillation) trial were applied. Cumulative incidence of recurrent ICH, cerebrovascular ischemic event, and all-cause death were investigated after one year. Results: A total of 1885 patients (median age 80.0 years; 47.6% females) were included in the study. We observed 191 cerebrovascular events and 650 all-cause deaths, and more cerebrovascular ischemic events (N=63) than recurrent ICH events (N=40). Risks of recurrent ICH, cerebrovascular ischemic event, and all-cause death were 1.5%, 3.2%, and 30.3%, respectively, among patients not exposed to OAC during follow-up. The cumulative incidences were 2.8% for recurrent ICH, 3.2% for cerebrovascular ischemic events, and 22.0% for all-cause death among patients initiating/resuming OAC during follow-up. Conclusions: We observed a high risk of cerebrovascular ischemic events and a very high risk of all-cause death at one year after the incident ICH. The results of ongoing clinical trials are warranted to determine optimal stroke prevention treatment among ICH survivors with concomitant AF.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    URL: Article
    DOI: 10.1161/STROKEAHA.121.038331
    RVK:
    XA 10000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1467823-8
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Development and Validation of a Dispatcher Identification Algorithm for Stroke Emergencies
    Ovid Technologies (Wolters Kluwer Health) ; 2012
    In:  Stroke Vol. 43, No. 3 ( 2012-03), p. 776-781
    Details
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 43, No. 3 ( 2012-03), p. 776-781
    Abstract: Recent innovations such as CT installation in ambulances may lead to earlier start of stroke-specific treatments. However, such technically complex mobile facilities require effective methods of correctly identifying patients before deployment. We aimed to develop and validate a new dispatcher identification algorithm for stroke emergencies. Methods— Dispatcher identification algorithm for stroke emergencies was informed by systematic qualitative analysis of the content of emergency calls to ambulance dispatchers for patients with stroke or transient ischemic attack (N=117) and other neurological (N=39) and nonneurological (N=51) diseases (Part A). After training of dispatchers, sensitivity and predictive values were determined prospectively in patients admitted to Charité hospitals by using the discharge diagnosis as reference standard (Part B). Results— Part A: Dysphasic/dysarthric symptoms (33%), unilateral symptoms (22%) and explicitly stated suspicion of stroke (47%) were typically identified in patients with stroke but infrequently in nonstroke cases (all 〈 10%). Convulsive symptoms (41%) were frequent in other neurological diseases but not strokes (3%). Pain (26%) and breathlessness (31%) were often expressed in nonneurological emergencies (6% and 7% in strokes). Part B: Between October 15 and December 16, 2010, 5774 patients were admitted by ambulance with 246 coded with final stroke diagnoses. Sensitivity of dispatcher identification algorithm for stroke emergencies for detecting stroke was 53.3% and positive predictive value was 47.8% for stroke and 59.1% for stroke and transient ischemic attack. Of all 275 patients with stroke dispatcher codes, 215 (78.5%) were confirmed with neurological diagnosis. Conclusions— Using dispatcher identification algorithm for stroke emergencies, more than half of all patients with stroke admitted by ambulance were correctly identified by dispatchers. Most false-positive stroke codes had other neurological diagnoses.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    URL: Article
    DOI: 10.1161/STROKEAHA.111.634980
    RVK:
    XA 10000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2012
    detail.hit.zdb_id: 1467823-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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