Diagnostic accuracy of the maximal systolic acceleration to detect peripheral arterial disease

Siem A Willems; Saskia G Dolfing; Rob C van Wissen; Joost R van der Vorst; Jan van Schaik; Abbey Schepers; Jaap F Hamming; Jeroen J W M Brouwers

doi:10.1016/j.jvs.2023.10.049

Diagnostic accuracy of the maximal systolic acceleration to detect peripheral arterial disease

J Vasc Surg. 2024 Feb;79(2):405-411. doi: 10.1016/j.jvs.2023.10.049. Epub 2023 Oct 31.

Authors

Siem A Willems¹, Saskia G Dolfing¹, Rob C van Wissen¹, Joost R van der Vorst¹, Jan van Schaik¹, Abbey Schepers¹, Jaap F Hamming¹, Jeroen J W M Brouwers²

Affiliations

¹ Department of Vascular Surgery, Leiden University Medical Center, Leiden, The Netherlands.
² Department of Vascular Surgery, Leiden University Medical Center, Leiden, The Netherlands. Electronic address: j.j.w.m.brouwers@LUMC.nl.

PMID: 37913945
DOI: 10.1016/j.jvs.2023.10.049

Abstract

Background: Diagnosing peripheral arterial disease (PAD) can be challenging owing to medial arterial calcification (MAC) in patients with diabetes mellitus (DM) and chronic kidney disease (CKD). Current bedside tests, such as the ankle-brachial index and toe-brachial index, are often insufficient. The maximal systolic acceleration (ACC_max) is a velocimetric Doppler-derived parameter and could be a new promising test in the diagnostic workup of these patients. The primary aim of this study was to evaluate the diagnostic performance of the ACC_max to detect PAD.

Methods: A retrospective cohort study was performed in a tertiary referral hospital. Patients ≥18 years old with suspected PAD who underwent ACC_max measurement(s) along with computed tomography angiography of the abdominal aorta and lower extremities (reference test) were eligible for inclusion. ACC_max measurements of the posterior tibial artery, anterior tibial artery and peroneal artery were collected. Diagnostic performance was assessed by using sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and area under the curve (AUC).

Results: In total, 340 patients (618 limbs) were included. Approximately 40% suffered from DM and 30% had CKD. Diagnostic performance of the ACC_max to detect PAD for the posterior tibial artery showed a sensitivity of 90%, specificity of 93%, positive likelihood ratio of 12.83, and negative likelihood ratio of 0.11 (AUC, 0.953). For the anterior tibial artery, these results were 94%, 97%, 32.06, and 0.06 (same sequence as presented before) with an AUC of 0.984. The peroneal artery had a performance of 86%, 89%, 7.51, and 0.16, respectively (AUC, 0.893). Diagnostic accuracy of the ACC_max did not diminish in subgroup analysis for patients with DM or CKD.

Conclusions: The ACC_max showed excellent diagnostic performance to detect PAD, independent of patients prone to medial arterial calcification.

Keywords: Diagnostics; Doppler; Lower extremity artery disease; Peripheral artery disease; Point of care testing; Systolic acceleration; Ultrasound imaging.

MeSH terms

Adolescent
Ankle Brachial Index
Diabetes Mellitus*
Humans
Peripheral Arterial Disease* / diagnostic imaging
Renal Insufficiency, Chronic* / diagnosis
Retrospective Studies