Assessing hemodynamic changes in diabetic patients with and without peripheral arterial disease using dynamic vascular optical spectroscopy
BACKGROUND: ) in the foot during occlusions. Group differences were assessed using the Mann-Whitney U test, and multivariable logistic regression was used to adjust for age, sex, diabetes duration, and hypertension duration, BMI, and smoking status. Diagnostic performance was measured using ROC analysis with stratified fivefold cross-validation. RESULTS: /100 mL/min; p < 0.00625). After adjustment for covariates, HF during the 60-mmHg occlusion remained the strongest discriminator for PAD, with an AUC of 0.983, accuracy of 0.918, sensitivity of 0.932, and specificity of 0.904 (mean across folds). CONCLUSIONS: Hemodynamic parameters measured by DVOS during thigh venous occlusion differ significantly between diabetic patients with and without PAD. Our findings suggest that 60-mmHg occlusion is more effective than 100 mmHg for eliciting PAD-sensitive hemodynamic parameters. These results highlight the potential sensitivity of DVOS to PAD-related vascular impairment during low-pressure thigh occlusion.
Authors
- Nisha Maheshwari (ORCID: https://orcid.org/0000-0003-3785-9583)
- Nesreen Saadeh (ORCID: https://orcid.org/0000-0003-1666-6854)
- Heba Hijazi (ORCID: https://orcid.org/0000-0002-5117-0152)
- Andreas H. Hielscher (ORCID: https://orcid.org/0000-0002-9967-056X)
- Nabil A. Al-Zoubi (ORCID: https://orcid.org/0000-0002-2328-9383)
- Rabah M. Al Abdi (ORCID: https://orcid.org/0000-0002-5927-7341)
- Alessandro Marone (ORCID: https://orcid.org/0000-0003-2026-716X)
Institutions
- Abu Dhabi University (AE)
- Jordan University of Science and Technology (JO)
- King Abdullah University Hospital (JO)
- University of Sharjah (AE)
- New York University (US)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1186/s12938-026-01564-z
- Primary Topic
- Peripheral Artery Disease Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jordan University of Science and Technology