skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

A multivariate prediction model and its application in forecasting acute ischemic stroke: Protocol for a retrospective clinical study

Medicine (Baltimore), 2022-12, Vol.101 (50), p.e31695-e31695 [Peer Reviewed Journal]

Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. ;Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. 2022 ;ISSN: 1536-5964 ;ISSN: 0025-7974 ;EISSN: 1536-5964 ;DOI: 10.1097/MD.0000000000031695 ;PMID: 36550851

Full text available

Citations Cited by
  • Title:
    A multivariate prediction model and its application in forecasting acute ischemic stroke: Protocol for a retrospective clinical study
  • Author: Yang, Dongmei ; Liu, Xia ; Lan, Hui ; Wang, Li ; Ma, Xiao ; Xie, Yu ; Li, Jielian
  • Subjects: Adolescent ; Adult ; Brain Ischemia - complications ; Brain Ischemia - diagnosis ; Brain Ischemia - epidemiology ; Computed Tomography Angiography ; Humans ; Ischemic Stroke - diagnosis ; Ischemic Stroke - etiology ; Retrospective Studies ; Stroke - diagnosis ; Stroke - epidemiology ; Stroke - etiology ; Study Protocol Clinical Trial
  • Is Part Of: Medicine (Baltimore), 2022-12, Vol.101 (50), p.e31695-e31695
  • Description: Acute ischemic stroke (AIS) occurs due to brain ischemia as a result of thrombosis of a cerebral blood vessel. It is a common cerebral blood circulation disorder worldwide and an important cause of death and disability. This study aims to establish a prediction model of multiple single category indicators and a joint model, through which to plot multiple receiver operating characteristic curves and compare area under curve of the models so as to predict the occurrence of AIS, explore the pathogenesis of AIS, and provide reference for clinical diagnosis and treatment of AIS. A retrospective clinical study was conducted in a Level A tertiary hospital in Sichuan Province, China. The patients participated in this study were over 18 years of age and suffered from acute ischemic stroke. They were hospitalized in department of neurology from October 1, 2019 to September 30, 2022, and underwent coronary artery computed tomographic arteriography (CTA) and blood biomarker detection. We collected demographic information, CTA data and blood biomarker detection values of all these patients. Through analyzing the clinical data of high-risk groups, this study provides guidance for the prevention and treatment of AIS, and promote further research.
  • Publisher: United States: Lippincott Williams & Wilkins
  • Language: English
  • Identifier: ISSN: 1536-5964
    ISSN: 0025-7974
    EISSN: 1536-5964
    DOI: 10.1097/MD.0000000000031695
    PMID: 36550851
  • Source: IngentaConnect Free/Open Access Journals
    Journals@Ovid Open Access Journal Collection Rolling
    Wolters Kluwer Open Health
    MEDLINE
    PubMed Central
    DOAJ Directory of Open Access Journals
Back to results list
Go to Previous pagePrevious Result  17 NextGo to Next page
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait