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Stepwise stroke recognition through clinical information, vital signs, and initial labs (CIVIL): Electronic health record-based observational cohort study
DC Field | Value | Language |
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dc.contributor.author | Lee, SE | - |
dc.contributor.author | Choi, MH | - |
dc.contributor.author | Kang, HJ | - |
dc.contributor.author | Lee, SJ | - |
dc.contributor.author | Lee, JS | - |
dc.contributor.author | Lee, Y | - |
dc.contributor.author | Hong, JM | - |
dc.date.accessioned | 2022-11-29T01:43:18Z | - |
dc.date.available | 2022-11-29T01:43:18Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/22957 | - |
dc.description.abstract | BACKGROUND: Stroke recognition systems have been developed to reduce time delays, however, a comprehensive triaging score identifying stroke subtypes is needed to guide appropriate management. We aimed to develop a prehospital scoring system for rapid stroke recognition and identify stroke subtype simultaneously.
METHODS AND FINDINGS: In prospective database of regional emergency and stroke center, Clinical Information, Vital signs, and Initial Labs (CIVIL) of 1,599 patients suspected of acute stroke was analyzed from an automatically-stored electronic health record. Final confirmation was performed with neuroimaging. Using multiple regression analyses, we determined independent predictors of tier 1 (true-stroke or not), tier 2 (hemorrhagic stroke or not), and tier 3 (emergent large vessel occlusion [ELVO] or not). The diagnostic performance of the stepwise CIVIL scoring system was investigated using internal validation. A new scoring system characterized by a stepwise clinical assessment has been developed in three tiers. Tier 1: Seven CIVIL-AS3A2P items (total score from -7 to +6) were deduced for true stroke as Age (>/= 60 years); Stroke risks without Seizure or psychiatric disease, extreme Sugar; "any Asymmetry", "not Ambulating"; abnormal blood Pressure at a cut-off point >/= 1 with diagnostic sensitivity of 82.1%, specificity of 56.4%. Tier 2: Four items for hemorrhagic stroke were identified as the CIVIL-MAPS indicating Mental change, Age below 60 years, high blood Pressure, no Stroke risks with cut-point >/= 2 (sensitivity 47.5%, specificity 85.4%). Tier 3: For ELVO diagnosis: we applied with CIVIL-GFAST items (Gaze, Face, Arm, Speech) with cut-point >/= 3 (sensitivity 66.5%, specificity 79.8%). The main limitation of this study is its retrospective nature and require a prospective validation of the CIVIL scoring system. CONCLUSIONS: The CIVIL score is a comprehensive and versatile system that recognizes strokes and identifies the stroke subtype simultaneously. | - |
dc.language.iso | en | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | Brain | - |
dc.subject.MESH | Diagnosis, Computer-Assisted | - |
dc.subject.MESH | Diagnosis, Differential | - |
dc.subject.MESH | Electronic Health Records | - |
dc.subject.MESH | Emergency Service, Hospital | - |
dc.subject.MESH | Feasibility Studies | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Medical History Taking | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Neuroimaging | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Sensitivity and Specificity | - |
dc.subject.MESH | Stroke | - |
dc.subject.MESH | Triage | - |
dc.title | Stepwise stroke recognition through clinical information, vital signs, and initial labs (CIVIL): Electronic health record-based observational cohort study | - |
dc.type | Article | - |
dc.identifier.pmid | 32294085 | - |
dc.identifier.url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159200 | - |
dc.contributor.affiliatedAuthor | Lee, SE | - |
dc.contributor.affiliatedAuthor | Choi, MH | - |
dc.contributor.affiliatedAuthor | Lee, SJ | - |
dc.contributor.affiliatedAuthor | Lee, JS | - |
dc.contributor.affiliatedAuthor | Lee, Y | - |
dc.contributor.affiliatedAuthor | Hong, JM | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.1371/journal.pone.0231113 | - |
dc.citation.title | PloS one | - |
dc.citation.volume | 15 | - |
dc.citation.number | 4 | - |
dc.citation.date | 2020 | - |
dc.citation.startPage | e0231113 | - |
dc.citation.endPage | e0231113 | - |
dc.identifier.bibliographicCitation | PloS one, 15(4). : e0231113-e0231113, 2020 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.relation.journalid | J019326203 | - |
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