The Ability of Clinical Decision Rules to Detect Peripheral Arterial Disease: A Narrative Review

Author:

Rerkasem Amaraporn1,Nopparatkailas Rawee2,Nantakool Sothida1,Rerkasem Rath2,Chansakaow Chayatorn3,Apichartpiyakul Poon3,Phrommintikul Arintaya4,Rerkasem Kittipan13ORCID

Affiliation:

1. Environmental—Occupational Health Sciences and Non-Communicable Diseases Center Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand

2. Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

3. Department of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

4. Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

Abstract

Peripheral arterial disease (PAD) is a common cause of lower extremity wound. Consequently, PAD leads to a cause of leg amputation nowadays, especially in diabetic patients. In general practice (GP), confrontation with PAD prevention is a challenge. In general, ankle-brachial index (ABI) measurement can be used as a PAD diagnostic tool, but this takes some time. The tool is not generally available and this need to train healthcare workers to perform. Multiple independent predictors developed the diagnostic prediction model known as clinical decision rules (CDRs) to identify patients with high-risk PAD. This might therefore limit the number of patients (only high-risk patients) to refer for ABI evaluation. This narrative review summarized existing CDRs for PAD.

Publisher

SAGE Publications

Subject

General Medicine,Surgery

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