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Analysis of rewarming curves in Raynaud's phenomenon of various aetiologies

Salem, K. M.; Baker, M.; Hilliam, R. M.; Davies, S.; Deighton, C.; Bainbridge, L. C. and Manning, G. (2009). Analysis of rewarming curves in Raynaud's phenomenon of various aetiologies. Journal of Hand Surgery (European Volume), 34(5) pp. 621–626.

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This study investigated whether a modified Cold Provocation Test could distinguish between 86 normal subjects and 31 patients with Raynaud’s phenomenon or 59 with hand arm vibration syndrome (HAVS). Of the HAVS subjects, 56 were seen for medical reports as they were involved in litigation. Their assessments were done in a different location but the same protocol was used. A standardised cold stress was used to reduce the finger temperature to 15°C or less without inducing reflex hyperaemia. This test had acceptable repeatability for subjects without HAVS with an intra-class correlation of 0.7. Baseline temperature, temperature rise in the first 30 seconds and the time taken to rewarm by 5°C were measured. Patients with Raynaud’s phenomenon and HAVS had cooler hands than controls. HAVS patients rewarmed most in the first 30 seconds. Patients with Raynaud’s phenomenon take longer to rewarm by 5°C than controls or those with HAVS (P<0.001). A baseline difference of >7.5°C between the temperature of the digit and that of the room is unlikely to occur in patients with Raynaud’s phenomenon or HAVS. A temperature gain of => 2.2°C in the first 30 seconds on rewarming combined with a low baseline temperature strongly suggests HAVS. This modified cold provocation test may differentiate between patients with Raynaud’s phenomenon, HAVS and controls but this observation requires independent verification in subjects not involved in litigation and tested in the same facility

Item Type: Journal Item
Copyright Holders: 2009 The British Society for Surgery of the Hand
ISSN: 2043-6289
Keywords: Cold Provocation Test; Raynaud’s phenomenon; HAVS
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
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Item ID: 32576
Depositing User: Rachel Hilliam
Date Deposited: 16 Feb 2012 11:37
Last Modified: 10 Dec 2018 03:42
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