Performance of finger systolic blood pressure measurement to detect digital occlusive arterial disease in systemic sclerosis.

来自 PUBMED

作者:

Omarjee LMetairie ATueguem Moyo TPabic ELJego PLescoat AMahe G

展开

摘要:

Digital ulcers related to digital occlusive arterial disease (DOAD) are frequent in patients with SSc. Finger systolic blood pressure (FSBP) and digital-brachial pressure index (DBI) using laser Doppler flowmetry constitute a non-invasive means of detecting DOAD in SSc, although thresholds have yet to be established for defining DOAD. The purpose of this study was to ascertain FSBP and DBI thresholds to detect DOAD in SSc patients. The intra/interday reproducibility of curve reading by four vascular physicians in relation to finger pressure measurement was also investigated. SSc patients were followed in this single-centre study (Rennes University Hospital, France) between November 2017 and October 2019.These patients underwent tests before and after heating at two visits spaced 10 days apart. DOAD was diagnosed on the basis of post-warming skin blood flow of ≤206 arbitrary units measured by laser Doppler flowmetry, contingent on previous results validated by arteriography as a gold standard. An interday kappa coefficient with a 95% confidence interval was used to assess reproducibility. Sixteen [10 females; mean age: 63 (9) years] SSc patients were included. Mean time interval between visits was 9 (5) days. The best FSBP threshold for DOAD diagnosis was 76 mmHg and DBI was 0.74 after warming. FSBP and DBI sensitivity/specificity were 59.1% (95% CI: 49.6, 68.5%)/92.5% (95% CI: 85.3, 99.6%) and 73.3% (95% CI: 64.9, 81.8%)/83.0% (95% CI: 72.9, 93.1%), respectively. Intra/interday reproducibility ranged from fair to good. The conclusions drawn from this study suggest that FSBP ≤ 76 mmHg and DBI ≤ 0.74 thresholds are potentially reliable indicators of DOAD and demonstrate fair to good intra- and interday reproducibility. ClinicalTrials.gov, www.clinicaltrials.gov, NCT03264820.

收起

展开

DOI:

10.1093/rheumatology/keab497

被引量:

0

年份:

2022

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(0)

参考文献(0)

引证文献(0)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读