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. 2022 Jan 24;10(1):e002579. doi: 10.1136/bmjdrc-2021-002579

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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Multivariate logistic regression model and diagnostic efficacy of Hsp90α and Hsp90β for DLEAD. Histopathological changes in blood vessels. Multivariate logistic regression analysis (A): a forest plot obtained from a multiple logistic regression model as OR with 95% CI. Comparing patients with DLEAD and DM, age, Hsp90α, course, and family history were independent risk factors for the development of DLEAD. Comparing patients with DCLI and DM, age, Hsp90α, Hsp90β, and course were independent risk factors for DCLI. Receiver operating characteristic analysis of the diagnostic efficacy of Hsp90α and Hsp90β for DM and DLEAD (B). Diagnostic ability to distinguish patients with DLEAD from patients with DM. HE staining (C and E) and immunohistochemistry (D and F) (40×, 100×, 200×) of Hsp90α in the blood vessels of patients with DCLI undergoing partial amputation (n=3). CHOL, cholesterol; DCLI, diabetic critical limb ischemia; DLEAD, diabetic lower extremity arterial disease; DM, diabetes mellitus; Hb, hemoglobin; Hsp90, heat shock protein 90; LDL, low-density lipoprotein; MDA, malondialdehyd; WCC, white cell count.