Evidence map›Paper›PMID 41089597›Full record

ArticleJournal of diabetes research2025

Correlation Analysis of Lower Limb Venous Dilation in Patients With Diabetic Foot Ulcers.

Rumei Li, Zhaoxi Li, Cuiman Chen, Xiaotong Zhu, Baoming Luo, Jing Tian

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Article in Journal of diabetes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Rumei LiDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0003-2992-4437
Zhaoxi LiCentral Laboratory, Dongguan People's Hospital/Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China.ORCID https://orcid.org/0000-0002-4309-2094
Cuiman ChenDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0000-0448-8486
Xiaotong ZhuDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0002-8820-3330
Baoming LuoDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-2331-5713
Jing TianDepartment of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-9639-9295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic foot ulcers (DFUs) significantly contribute to disability and increased mortality rates among patients with diabetes. Researches on venous conditions of DFU are rather limited compared to other pathological factors. This study is aimed at investigating the correlation between venous dilation and various clinical and biochemical factors in patients with DFU. Methods: We enrolled 100 patients with DFU and performed Doppler ultrasound examinations of the lower extremity vascular system by a senior ultrasonographer. Clinical and biochemical characteristics were collected, and their correlation with venous dilation was analyzed by Spearman's correlation and multiple linear regression. Results: The diameters of the common femoral vein, femoral vein, great saphenous vein above knee and below knee (GSVa and GSVb), and the small saphenous vein (SSV) were larger on the affected side than those of the unaffected side of the ulcer, especially the superficial veins. Thus, the ratio of diameters of the superficial veins between affected and unaffected sides was calculated for correlation analysis. Fasting blood glucose levels were positively correlated to the ratio of GSVb, while plasma levels of procalcitonin and white blood cells, markers of inflammation, were found to be positively correlated with the ratio of SSV. However, after adjustment, male gender and duration of diabetes were the positive predictors for the changes in the ratio of GSVb, while systolic blood pressure (SBP) was an independent positive predictor for the changes in the ratio of SSV after adjustment. We did not identify a significant correlation between the severity of the ipsilateral dorsal pedis artery stenosis and the ratios of the GSV and SSV. Conclusion: Our findings indicate that venous dilation in the affected lower limb is a common occurrence in patients with DFU. Male gender, duration of diabetes, and SBP, but not localized arterial stenosis or serum inflammatory markers, were independent predictors for venous dilation below the knee. Understanding these correlations could contribute to the broader understanding of diabetes-related venous complications.

Indexed as

Diabetic FootFemoral VeinLower ExtremitySaphenous VeinAgedFemaleHumansMaleMiddle AgedUltrasonography, Dopplerdiabetic foot ulcerlower limb venous dilationprocalcitoninsystolic blood pressure

Identifiers

PMID41089597
PMCPMC12517975

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.