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Correspondence on ‘Predictors for large vessel recanalization before stroke thrombectomy: the HALT score’ by Colasurdo et al
  1. Muhammad Tayyab Muzaffar Chaychi1,
  2. Muhammad Ali Muzammil2,
  3. Muhammad Khaleeq Ahmed3
  1. 1 Neurology, Quaid-e-Azam Medical College, Bahawalpur, Pakistan
  2. 2 Neurology, Dow University of Health Sciences, Karachi, Pakistan
  3. 3 Neurology, Medical College of Georgia, Augusta, Georgia, USA
  1. Correspondence to Dr Muhammad Tayyab Muzaffar Chaychi, Neurology, Quaid-e-Azam Medical College, Bahawalpur 63100, Punjab, Pakistan; tayyabmuzaffar{at}gmail.com

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After carefully reading Marco Colasurdo et al’s work ‘Predictors for large vessel recanalization before stroke thrombectomy: the HALT score’,1 we commend the authors for bridging a significant gap in the body of knowledge. The creation of a multivariable recanalization prediction model for major vascular obstruction has important implications. This model can assist in avoiding delays related to imaging and intravenous thrombolysis (IVT) along with potential risks related to IVT for individuals with a low likelihood of recanalization.

However, we would like to share some concerns regarding this study. Notably, according to the HALT score, any patient with vertebrobasilar artery occlusion 1.5 hours post-thrombolysis has a score of 6 and therefore a 41.9% chance of recanalization. This rate does not reconcile with the rates of 13%,2 30%,3 0%,4 and 5%5 of recanalization reported in previous studies. This study also fails to include strong predictors of recanalization …

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  • Contributors All authors had access to all the study data, take responsibility for the accuracy of the analysis, and had authority over manuscript preparation and the decision to submit the manuscript for publication. The manuscript represents original work that has not been published and is not under consideration for publication in any other journal. All authors meet the criteria for authorship and instructions to the author were read. We accept all conditions and publication rights. All disclosures are listed in the paper and we have no funding sources to declare.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; internally peer reviewed.

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