A randomized controlled trial of standard vs customized graduated elastic compression stockings in patients with chronic venous disease.

Chronic venous disease Custom-made Graduated elastic compression stockings Randomized controlled trial

Journal

Journal of vascular surgery. Venous and lymphatic disorders
ISSN: 2213-3348
Titre abrégé: J Vasc Surg Venous Lymphat Disord
Pays: United States
ID NLM: 101607771

Informations de publication

Date de publication:
12 Sep 2023
Historique:
received: 23 06 2023
revised: 14 08 2023
accepted: 17 08 2023
pubmed: 15 9 2023
medline: 15 9 2023
entrez: 14 9 2023
Statut: aheadofprint

Résumé

This study aimed to compare the efficacy of customized graduated elastic compression stockings (c-GECSs) based on lower leg parameter models with standard GECSs (s-GECSs) in patients with chronic venous disease (CVD). In this randomized, single-blind, controlled trial, 79 patients with stage C2 or C3 CVD were assigned to one of two groups: c-GECSs or s-GECSs. The primary outcome was change to Venous Insufficiency Epidemiological and Economic Study Quality of Life (VEINES-QOL) scores at months 1, 3, and 6 as compared with baseline. Secondary outcomes included compliance with wearing ECSs, interface pressure at the smallest circumference of the ankle (point B) and the largest circumference of the calf (point C), and calf volume (CV). There were 13 pairs of s-GECS and 2 pairs of c-GECS that showed pressure values higher than the standard at either point B or C. The c-GECSs were significantly superior to s-GECSs in terms of score improvement at all three time points (month 1, 8.47 [95% confidence interval (CI), 7.47-9.45] vs 5.89 [95% CI, 5.00-6.78]; month 3, 9.60 [95% CI, 8.47-10.72] vs 6.72 [95% CI, 5.62-7.83]; month 6, 7.09 [95% CI, 5.93-8.24] vs 3.92 [95% CI, 2.67-5.18]; P < .0001). Besides, at month 1, the mean daily use time of the c-GECS and s-GECS groups was 10.7 and 9.5 hours, respectively (P < .05). Correlation analysis indicated a negative relationship between local high pressure and daily duration in the s-GECS group (r The c-GECSs based on individual leg parameter models significantly improved VEINES-QOL scores and provided stable and enduring pressure as compared with s-GECSs for patients with stage C2 or C3 CVD. Although both c-GECSs and s-GECSs effectively reduced CV, the superior fit and comfort of c-GECSs improved patient compliance. Hence, c-GECSs are a viable alternative for patients who have difficulty tolerating s-GECSs.

Identifiants

pubmed: 37708938
pii: S2213-333X(23)00330-X
doi: 10.1016/j.jvsv.2023.08.017
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosures None.

Auteurs

Wen-Tao Yang (WT)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Ying Xiong (Y)

School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong.

Sheng-Xing Wang (SX)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Hua-Liang Ren (HL)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Chi Gong (C)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Zhen-Yi Jin (ZY)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Jia-Hao Wen (JH)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Wang-De Zhang (WD)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Xiao-Ming Tao (XM)

School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong.

Chun-Min Li (CM)

Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. Electronic address: lcmbs@126.com.

Classifications MeSH