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Yin C, Tang F, Lao J, Yang Y, Li M, Cao J, Song R, Wu P, Wang Y. Risk factors for venous ulceration in patients with varicose veins of lower extremities. Wound Repair Regen 2024; 32:47-54. [PMID: 38087425 DOI: 10.1111/wrr.13139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 09/20/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
The aim of this case-control study was to explore the potential risk factors for venous ulceration in patients with varicose veins of lower extremities and to establish a simplified diagnostic score model. Seventy subjects with varicose veins of lower extremities and venous ulceration were compared with 1164 controls with varicose veins of lower extremities and no history of venous ulceration. Stepwise multivariate logistic regression analysis was used to identify the risk factors for venous ulceration. The steps in developing the diagnostic score model were based on the Framingham Heart study. The area under the receiver operating characteristic curve (AUC) was calculated to assess the diagnostic ability of the diagnostic score model. Multivariate analysis showed that men, overweight, obesity, longer duration varicose veins, deep venous valve insufficiency, low lymphocyte counts, and high fibrinogen content were independently associated with an increased risk of venous ulceration. The AUC for the diagnostic score model was 0.75, which indicated good discriminatory ability. Special attention should be paid to the high-risk group of patients with lower extremity varicose veins. The diagnostic score model might be a useful screening tool for clinicians, policy makers, and patients.
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Affiliation(s)
- Chaonan Yin
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, China
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Fang Tang
- Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, China
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jiahui Lao
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Yang Yang
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Mingzhuo Li
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Jia Cao
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Ru Song
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, China
| | - Peng Wu
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, China
| | - Yibing Wang
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, China
- Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Liu YJ, Wu P, An G, Fang Q, Zheng J, Wang YB. [Research advances on the techniques for diagnosing burn wound depth]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2022; 38:481-485. [PMID: 35599424 DOI: 10.3760/cma.j.cn501120-20210518-00195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The accurate diagnosis of burn wound depth is particularly important for evaluating the disease prognosis of burn patients. In the past, the diagnosis of burn wound depth often relied on the subjective judgment of doctors. With the continuous development of diagnostic technology, the methods for judging the depth of burn wound have also been updated. This paper mainly summarizes the research progress in the applications of indocyanine green angiography, laser Doppler imaging, laser speckle contrast imaging, and artificial intelligence in the diagnosis of burn wound depth, and compares the advantages and disadvantages of these techniques, so as to provide ideas for accurate diagnosis of burn wound depth.
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Affiliation(s)
- Y J Liu
- The First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China
| | - P Wu
- Department of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China
| | - G An
- Department of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China
| | - Q Fang
- The First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China
| | - J Zheng
- The First Clinical Medical College,Shandong University of Traditional Chinese Medicine, Jinan 250061, China
| | - Y B Wang
- Department of Plastic Surgery, the First Affiliated Hospital (Shandong Provincial Qianfoshan Hospital), Shandong First Medical University, Jinan Clinical Medicine Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan 250014, China
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