Nov 29, 2023

Public workspaceSerial Alberta Stroke Program Early CT Score to Predict Stroke-Associated Pneumonia after Thrombolysis in Patients with Acute Ischemic Stroke

  • Sarawut Krongsut1,
  • Atiwat Soontornpun2,
  • Niyada Anusasnee3
  • 1Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Saraburi Hospital, Saraburi, Thailand;
  • 2Division of Neurology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand;
  • 3Division of radiology, Saraburi Hospital, Saraburi, Thailand
Open access
Protocol CitationSarawut Krongsut, Atiwat Soontornpun, Niyada Anusasnee 2023. Serial Alberta Stroke Program Early CT Score to Predict Stroke-Associated Pneumonia after Thrombolysis in Patients with Acute Ischemic Stroke. protocols.io https://dx.doi.org/10.17504/protocols.io.q26g7p6qkgwz/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: November 29, 2023
Last Modified: November 29, 2023
Protocol Integer ID: 91579
Keywords: ischemic stroke, cerebrovascular disease, thrombolysis, ASPECTS, stroke-associated pneumonia
Funders Acknowledgement:
Medical Education Center at Saraburi Hospital
Grant ID: MC010-2566
Disclaimer
The authors have no conflicts of interest directly relevant to the content of this article.
Abstract
Objectives: To investigate the performance of serial Alberta Stroke Program Early CT Score (ASPECTS) assessment for predicting stroke-associated pneumonia (SAP) in patients with thrombolyzed acute anterior circulation ischemic stroke (AACIS).
Materials and Methods: A retrospective observational cohort study of adult patients with thrombolyzed AACIS was conducted. Baseline and 24-hour ASPECTS using non-contrast computed tomography (NCCT), complications of stroke, including SAP and swallowing dysfunction using the Modified Water Swallowing test, were collected. Receiver operating characteristic curves using binary logistic regression and a multivariable logistic regression model were generated to compare the predictive performance.
Attachments
Serial Alberta Stroke Program Early CT Score to Predict Stroke-Associated Pneumonia after Thrombolysis in Patients with Acute Ischemic Stroke
Protocol references
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