Prognostic performance of bedside tests for predicting ulcer healing and wound healing after minor amputation in patients prone to medial arterial calcification: A systematic review.

Foot ulceration is a significant and growing health problem worldwide, particularly due to rises in diabetes mellitus (DM) and peripheral artery disease. The prediction of ulcer healing remains a major challenge. In patients with foot ulcers, medial arterial calcification (MAC) can be present as a result of concomitant DM or chronic kidney disease and is a prognostic factor for unfavorable outcome.

DIAMACC: protocol of a prospective diagnostic accuracy study of the maximal systolic acceleration to detect peripheral arterial disease in patients with diabetes-related foot ulceration in the Netherlands.

Introduction: Foot ulcers are one of the most serious complications of diabetes, leading to significant risks on amputation and mortality. Peripheral arterial disease (PAD) is an important factor for the development and the outcome of diabetic foot ulcers (DFU). Although prompt and accurate detection of PAD is critical to reduce complications, its diagnosis can be challenging with currently used bedside tests (such as ankle-brachial index and toe pressure) due to medial arterial calcification.

Establishing reference curves for vital tissue perfusion using quantitative near-infrared fluorescence imaging with indocyanine green.

Purpose: Assessment of tissue perfusion using near-infrared fluorescence (NIR) with indocyanine green (ICG) is gaining popularity, however reliable and objective interpretation remains a challenge. Therefore, this study aimed to establish reference curves for vital tissue perfusion across target tissues using this imaging modality.

Methods: Data from five prospective study cohorts conducted in three Dutch academic medical centres between December 2018 and June 2023 was included.

Diagnostic Performance of the Maximal Systolic Acceleration for Detecting a Significant Stenosis in the Aortoiliac and Popliteal Pathway: A Retrospective Cohort Study.

Introduction: Identifying peripheral arterial disease (PAD) remains challenging with currently used bedside tests. The maximal systolic acceleration (ACC) is a promising noninvasive parameter measured by duplex ultrasonography and reflects the arterial perfusion proximal to its measurement point. The principal aim of this study was to analyze the diagnostic accuracy of the ACC for detecting significant stenosis in different arterial segments, which could be useful in clinical decision-making.

A Diagnostic Comparison Study between Maximal Systolic Acceleration and Acceleration Time to Detect Peripheral Arterial Disease.

Background: Detecting peripheral arterial disease (PAD) can be particularly challenging in patients with diabetes mellitus (DM) or chronic kidney disease (CKD) due to medial arterial calcification (MAC). Current bedside tests, such as the ankle-brachial index, are less accurate in these patient groups. The primary aim of this study is to evaluate the diagnostic accuracy of point-of-care duplex ultrasound parameters maximal systolic acceleration (ACC) and acceleration time (AT) to detect PAD, including a comparison of both metrics.