Real world data in mechanical thrombectomy: who are we losing to follow-up?

Marianne Hahn1, Sonja Gröschel1, Ahmed Othman2

  • 1Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Abstract

Insights

Missing outcome data in mechanical thrombectomy registries is not random. Higher pre-stroke and post-stroke disability, and discharge to institutional care are associated with missing data, requiring targeted follow-up efforts.

Area of Science:

  • Neurology
  • Clinical Trials
  • Data Science

Background:

  • Missing outcome data (MOD) is a significant challenge in clinical trials and registries, potentially introducing bias.
  • Identifying factors associated with MOD is crucial for improving follow-up rates and assessing imputation needs.
  • This study investigated MOD in a large, multicenter registry of mechanical thrombectomy (MT) for large vessel occlusion ischemic stroke.

Purpose of the Study:

  • To identify factors associated with missing outcome data (MOD) in patients undergoing mechanical thrombectomy (MT).
  • To determine patient subgroups requiring increased follow-up efforts to mitigate potential bias in registry data.
  • To analyze the impact of pre-stroke disability, treatment characteristics, and discharge disposition on MOD.

Main Methods:

  • Analysis of 13,082 patients from the German Stroke Registry-Endovascular Treatment (May 2015 - Dec 2021).
  • Assessment of 90-day modified Rankin Scale (mRS) for MOD.
  • Univariate logistic regression and subgroup analyses to identify factors associated with MOD.

Main Results:

  • 19.7% of patients had MOD at 90 days.
  • MOD was significantly associated with higher pre-stroke disability (mRS 3-5), absence of bridging IV thrombolysis, and longer time to treatment.
  • Higher post-stroke disability at discharge and discharge to institutional care were also linked to MOD, while futile recanalization showed less MOD.

Conclusions:

  • Missing outcome data in mechanical thrombectomy registries is not random.
  • Increased follow-up efforts are essential for patients with higher pre-stroke and post-stroke disability.
  • Targeted strategies are needed for patients discharged to hospital or institutional care to reduce bias from MOD.

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