Key result
A logistic regression model based solely on hemodynamical markers during leg flexion predicted restenosis at 6 months with an accuracy of 75% (p=0.031).
Why the study?
Endovascular therapy for peripheral arterial disease has high restenosis rates, but the underlying mechanisms related to the mechanical environment of leg flexion remain unknown.
Can hemodynamical markers derived from computational fluid dynamics during leg flexion predict restenosis in patients undergoing endovascular femoro-popliteal interventions?
Observational (n=20)
Can hemodynamical markers derived from computational fluid dynamics during leg flexion predict restenosis in patients undergoing endovascular femoro-popliteal interventions?
p-value: p=0.031
Hemodynamical markers derived from computational fluid dynamics during leg flexion can predict restenosis with 75% accuracy in patients following femoro-popliteal revascularization.
Authors
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Hemodynamic markers during leg flexion may aid restenosis prediction; hypothesis-generating and should not yet change practice.
Gökgöl et al. (2019) conducted an observational in Peripheral arterial disease (PAD) with femoro-popliteal obstructions (n=20). Hemodynamical markers derived from blood flow during leg flexion vs. Non-flow clinical parameters was evaluated on Prediction of restenosis at 6 months (p=0.031). A logistic regression model based solely on hemodynamical markers during leg flexion predicted restenosis at 6 months with an accuracy of 75% (p=0.031).
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