Fawaz Al-Mufti (United States of America)

Westchester Medical Center at New York Medical College Neurology, Neurosurgery and Radiology

Author Of 1 Presentation

VAST GLOBAL DISPARITIES IN MECHANICAL THROMBECTOMY ACCESS: A REPORT FROM THE MT2020+ REGIONAL COMMITTEES

Session Type
Oral Presentations
Date
27.10.2021, Wednesday
Session Time
07:00 - 08:00
Room
ORAL PRESENTATIONS 1
Lecture Time
07:20 - 07:30

Abstract

Background and Aims

Mechanical Thrombectomy has been established as a highly cost-effective therapy for large vessel occlusion stroke (LVOs) since 2015. However, access to MT for eligible LVOs patients is limited due to informational & diagnostic, geographical and financial barriers. MT 2020+ is a global stroke campaign aimed at accelerating access to mechanical thrombectomy (MT) using public health interventions (PHI) through a regional committees (RCs) global network.

Methods

MT2020+ conducted an electronic survey in 22 RCs of different income levels in from November 2020-February 2021 with a questionnaire that included MT eligible patients, centers, operators, procedures and reimbursement. MT access was defined as the proportion of estimated MT eligible patients receiving MT. Linear regression models were used with countries classified by World Bank income classification.

Results

For high, upper middle and lower middle income countries, MT access was 15.75 %, 3 % and 0.06 %, MT Centers per million population were 0.95, 0.53 and 0.08 and MT operators per million population were 1.38, 0.81 and 0.10, respectively.

On univariate analysis, MT access rate was significantly associated with: income class ( p <0.011), reimbursement for MT (p <0.001) and % of GDP spent on healthcare (p = 0.001). On multivariate linear regression models, the factors that independently predict MT access were World Band income class (p <0.029) and reimbursement (p= 0.002).

Conclusions

There is a vast disparity in MT access across the globe. Country income and existence of reimbursement for MT in a given country were independently predictive of MT access for LVOs. These findings help prioritize PHI to accelerate MT access.

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