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

clinical decision rules diagnostic prediction model peripheral arterial disease

Journal

The international journal of lower extremity wounds
ISSN: 1552-6941
Titre abrégé: Int J Low Extrem Wounds
Pays: United States
ID NLM: 101128359

Informations de publication

Date de publication:
30 May 2022
Historique:
entrez: 31 5 2022
pubmed: 1 6 2022
medline: 1 6 2022
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 35637546
doi: 10.1177/15347346221104590
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15347346221104590

Auteurs

Amaraporn Rerkasem (A)

Environmental-Occupational Health Sciences and Non-Communicable Diseases Center Research Group, 551431Research Institute for Health Sciences, 26682Chiang Mai University, Chiang Mai, Thailand.

Rawee Nopparatkailas (R)

Faculty of Medicine, 26682Chiang Mai University, Chiang Mai, Thailand.

Sothida Nantakool (S)

Environmental-Occupational Health Sciences and Non-Communicable Diseases Center Research Group, 551431Research Institute for Health Sciences, 26682Chiang Mai University, Chiang Mai, Thailand.

Rath Rerkasem (R)

Faculty of Medicine, 26682Chiang Mai University, Chiang Mai, Thailand.

Chayatorn Chansakaow (C)

Department of Surgery, Faculty of Medicine, 26682Chiang Mai University, Chiang Mai, Thailand.

Poon Apichartpiyakul (P)

Department of Surgery, Faculty of Medicine, 26682Chiang Mai University, Chiang Mai, Thailand.

Arintaya Phrommintikul (A)

Department of Internal Medicine, Faculty of Medicine, 26682Chiang Mai University, Chiang Mai, Thailand.

Kittipan Rerkasem (K)

Environmental-Occupational Health Sciences and Non-Communicable Diseases Center Research Group, 551431Research Institute for Health Sciences, 26682Chiang Mai University, Chiang Mai, Thailand.
Department of Surgery, Faculty of Medicine, 26682Chiang Mai University, Chiang Mai, Thailand.

Classifications MeSH