Submitted:
04 February 2026
Posted:
05 February 2026
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design and Patient Population
2.2. Clinical and Paraclinical Data Collection
2.3. Scoring Systems
2.4. Statistical Analysis
3. Results
3.1. Angiographic Severity and WIfI Stages
3.2. Bollinger and GLASS Scores
3.3. Outcomes of Revascularization
3.4. Correlations Between Scoring Systems
3.5. Associations with Technical Success Rate
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| PAD | Peripheral Arterial Disease |
| DM | Diabetic Mellitus |
| NDM | Non-Diabetic Mellitus |
| CLI | Critical Limb Ischemia |
| CLTI | Chronic Limb-Threatening Ischemia |
References
- Conte, MS; Bradbury, AW; Kolh, P; et al. Global vascular guidelines on the management of chronic limb-threatening ischemia. Eur J Vasc Endovasc Surg. 2019, 58(1S), S1–S109.e33. [Google Scholar] [CrossRef]
- Bradbury, AW; Adam, DJ; Bell, J; et al. The BASIL trial: randomized comparison of bypass surgery versus angioplasty in severe limb ischemia. J Vasc Surg. 2010, 51((5) Suppl, 5S–17S. [Google Scholar] [CrossRef]
- Farber, A; Rosenfield, K; Menard, MT; et al. Endovascular revascularization versus surgical bypass for CLTI: results from BEST-CLI trial. N Engl J Med. 2022, 387(25), 2305–2316. [Google Scholar] [CrossRef]
- Aboyans, V; Ricco, JB; Bartelink, MEL; et al. ESC Guidelines on the diagnosis and treatment of peripheral artery diseases. Eur Heart J. 2024, 45(5), 765–830. [Google Scholar] [CrossRef]
- Bunte, MC; Jacobson, J; Javaheri, A; et al. Patterns of arterial calcification in diabetes and their impact on revascularization. Circulation. 2020, 141(1), 99–114. [Google Scholar]
- Boyko, EJ; Lipsky, BA; Giurini, JM; et al. Pathophysiology and prevention of diabetic foot complications. Diabetes Care. 2021, 44(7), 1463–1471. [Google Scholar] [CrossRef]
- Norgren, L; Fowkes, FGR; Aboyans, V; et al. Update on peripheral artery disease: pathophysiology and management. Nat Rev Cardiol. 2022, 19(12), 760–776. [Google Scholar]
- Cerqueira, LO; Duarte, EG; Barros, AL; Cerqueira, JR; Araújo, WB. WIfI classification and limb outcomes after endovascular treatment for critical limb ischemia. J Vasc Bras. 2020, 19, e20200089. [Google Scholar]
- Hicks, CW; Canner, JK; Mathioudakis, N; et al. The WIfI classification system predicts wound healing and amputation in diabetic foot ulcer patients. J Vasc Surg. 2020, 71(2), 631–640. [Google Scholar] [CrossRef]
- Bollinger, A. An extension of the Bollinger scoring system for the quantitative assessment of peripheral atherosclerosis. Angiology. 1981, 32(4), 240–250. [Google Scholar] [CrossRef]
- Benson, RA; Meecham, L; Bate, G; Bradbury, AW. Disease quantified: Bollinger score reproducibility in angiographic assessment. Eur J Vasc Endovasc Surg. 2016, 52(1), 88–94. [Google Scholar] [CrossRef]
- Zielinski, LP; Chowdhury, MM; Carter, M; Worsfold, BP; Coughlin, PA. Variability in reporting Bollinger and GLASS scores: implications for standardization. Eur J Vasc Endovasc Surg. 2020, 59(4), 595–603. [Google Scholar] [CrossRef]
- Fitridge, R; Hinchliffe, RJ; Zierler, RE; et al. IWGDF/ESVS/SVS Guidelines on the diagnosis, prognosis and management of peripheral artery disease and diabetic foot. Eur J Vasc Endovasc Surg. 2023, 65(1S), S1–S79. [Google Scholar] [CrossRef]
- Hinchliffe, RJ; Forsythe, RO; Apelqvist, J; et al. Performance of GLASS and WIfI for predicting outcomes after revascularization in CLTI. Eur J Vasc Endovasc Surg. 2021, 62(1), 93–102. [Google Scholar] [CrossRef]
- Mustapha, JA; Diaz-Sandoval, LJ; Saab, F; et al. Role of scoring systems in predicting technical success in diabetic CLTI. Vasc Med. 2022, 27(3), 268–278. [Google Scholar]
- Ferraresi, R; Faglia, E; Clerici, G; et al. Sex-related differences and factors associated with peri-procedural mortality in chronic limb-threatening ischemia. Journal of Personalized Medicine 2023, 13(2), 316. [Google Scholar] [CrossRef]
- Hess, CN; Rogers, RK; Wang, TY; et al. Major adverse limb events and mortality in peripheral artery disease: insights from the EUCLID trial. J Am Coll Cardiol. 2020, 75(5), 498–508. [Google Scholar] [CrossRef]
- Schmitt, VH; Hobohm, L; Vosseler, M; et al. Temporal trends in hospitalizations and outcomes in diabetic vs. non-diabetic peripheral artery disease. Diabet Med. 2022, 39(8), e14854. [Google Scholar] [CrossRef]
- Torres, C; Ujueta, F; Rogers, E; et al. Outcomes after endovascular therapy for CLTI in diabetic patients: insights from a national registry. J Am Heart Assoc. 2022, 11(5), e024593. [Google Scholar]
- Morosetti, D; Farina, A; Speziale, F; et al. Infrapopliteal angioplasty outcomes in diabetic versus non-diabetic patients: a real-world multicenter experience. Int Angiol. 2021, 40(3), 220–229. [Google Scholar]
- Randon, C; Jacobs, B; De Ryck, F; et al. Long-term outcome of infrapopliteal angioplasty in diabetic critical limb ischemia. Eur J Vasc Endovasc Surg. 2020, 60(1), 77–86. [Google Scholar]
- Kim, HK; Park, J; Cho, S; et al. Correlation of WIfI stage with angiographic findings and outcomes after revascularization. Ann Vasc Surg. 2022, 79, 247–256. [Google Scholar] [CrossRef]
- Anwar, MA; Georgakarakos, E; Antoniou, GA; et al. Diabetic versus non-diabetic arterial disease: anatomical patterns and clinical implications. Ann Vasc Surg. 2023, 94, 76–84. [Google Scholar] [CrossRef]
- Faglia, E; Clerici, G; Caminiti, M; et al. Evaluation of infrapopliteal angioplasty in diabetic critical limb ischemia: predictors of failure. Diabetes Care. 2019, 42(6), e100–e103. [Google Scholar] [CrossRef]
- Beropoulis, E; Stavroulakis, K; Schwindt, A; et al. Long-term outcomes of infrapopliteal angioplasty: impact of diabetes and WIfI stage. J Endovasc Ther. 2020, 27(5), 766–775. [Google Scholar]
- Norgren, L; Hiatt, WR; Dormandy, JA. Peripheral arterial disease: pathophysiology and natural history. In Rutherford’s Vascular Surgery and Endovascular Therapy., 9th ed.; Sidawy, AN, Perler, BA, Eds.; Elsevier: Philadelphia, PA, 2019; pp. 1234–1250. [Google Scholar]



| Component | Score | Description |
|---|---|---|
| W (Wound) – Tissue loss | 0 | No ulcer (ischemic rest pain may be present) |
| 1 | Small, superficial ulcer on the foot or leg, without gangrene | |
| 2 | Deep ulcer with exposure of bone, joint, or tendon; limited gangrene confined to the toes | |
| 3 | Extensive deep ulceration involving the heel or forefoot; extensive gangrene | |
| I (Ischemia) – Hemodynamic impairment | ABI | Ankle pressure (mmHg) |
| 0 | ≥0.80 | |
| 1 | 0.60–0.79 | |
| 2 | 0.40–0.59 | |
| 3 | <0.40 | |
| FI (Foot Infection) – Infection severity | 0 | No clinical signs or symptoms of infection |
| 1 | Local infection involving only skin and subcutaneous tissue | |
| 2 | Local infection involving deeper structures (e.g., fascia, muscle, tendon, bone) | |
| 3 | Systemic inflammatory response syndrome |
| Location | Occlusion | Stenosis >50% | Stenosis ≤50% |
|---|---|---|---|
| Single | - | 4 | 2 |
| Multiple ≤ half | 13 | 5 | 3 |
| Multiple > half | 15 | 6 | 4 |
|
Femoropopliteal segment |
4 | III | III | III | III | III |
| 3 | II | II | II | III | III | |
| 2 | I | II | II | II | III | |
| 1 | I | I | II | II | III | |
| 0 | - | I | I | II | III | |
|
Infra-popliteal segment |
0 | 1 | 2 | 3 | 4 |
| PARAMETER | NDM Group (n=51) |
DM Group (n=85) |
P-value |
|---|---|---|---|
| Female, n(%) | 12 (23.5) | 27 (31.8) | 0.304 |
| Urban residence, n (%) | 25 (49.0) | 62 (72.9) | 0.005** |
| Age, years (mean ±sd) | 69.78±11.38 | 69.89±8.57 | 0.737 |
| Hypertension, n (%) | 38 (74.5) | 73 (85.9) | 0.097 |
| Obesity, n (%) | 4 (7.8) | 13 (15.3) | 0.203 |
| Heart failure, n (%) | 17 (33.3) | 24 (28.2) | 0.531 |
| Atrial fibrillation, n (%) | 15 (29.4) | 16 (18.8) | 0.154 |
| Prior mi, n (%) | 2 (3.9) | 7 (8.2) | 0.483 |
| Chronic coronary syndrome, n (%) | 8 (15.7) | 17 (20.0) | 0.530 |
| Cardiomyopathy, n (%) | 1 (2.0) | 5 (5.9) | 0.410 |
| Dilated cardiomyopathy, n (%) | 4 (7.8) | 4 (4.7) | 0.473 |
| Chronic kidney disease, n (%) | 7 (13.7) | 16 (18.8) | 0.443 |
| Prior stroke, n (%) | 2 (3.9) | 10 (11.9) | 0.210 |
| VARIABLE | NDM Group (N=51) |
DM Group (N=85) |
P-value |
|---|---|---|---|
| >50% stenosis, n (%) | 18 (35.3) | 47 (55.3) | 0.024* |
| Any occlusion, n (%) | 49 (96.1) | 71 (83.5) | 0.028* |
| Wifi stage 1, n (%) | 17 (33.3) | 46 (54.1) | 0.083+ |
| Stents present, n (%) | 11 (21.6) | 20 (23.5) | NS |
| PARAMETER | NDM Group | DM Group | P-value |
|---|---|---|---|
| Bollinger whole leg, mean±sd | 36.78±16.09 | 30.07±16.34 | 0.018* |
| Bollinger above knee, mean±sd | 9.92±8.01 | 9.54±6.96 | 0.941 |
| Bollinger below knee, mean±sd | 26.86±13.93 | 20.53±15.88 | 0.015* |
| Glass global: std 1, n (%) | 23 (45.1) | 28 (32.9) | NS |
| Glass global: std 2, n (%) | 18 (35.3) | 35 (41.2) | NS |
| Glass global: std 3, n (%) | 10 (19.6) | 22 (25.9) | NS |
| OUTCOME | NDM Group (n=51) |
DM Group (n=85) |
P-value |
|---|---|---|---|
| Technical success, n (%) | 37 (72.5) | 64 (75.3) | NS |
| Bypass, n (%) | 6 (11.8) | 10 (11.8) | NS |
| Major amputation, n (%) | 2 (3.9) | 8 (9.4) | NS |
| Death, n (%) | 1 (2.0) | 3 (3.5) | NS |
| CORRELATION (overall) | ρ | P-value |
|---|---|---|
| WIfI ↔ Bollinger (whole leg) | 0.290 | <0.001 |
| WIfI ↔ GLASS (global) | 0.173 | 0.044 |
| Bollinger (whole leg) ↔ GLASS (global) | 0.643 | <0.001 |
| BOLL (whole leg)↔ GLASS (global) | 0.567 | <0.001 |
| Above knee: Bollinger ↔ GLASS-FP | 0.762 | <0.001 |
| Below knee: WIfI ↔ Bollinger-IP | 0.266 | 0.002 |
| Below knee: Bollinger-IP ↔ GLASS-IP | 0.713 | <0.001 |
| Group | Weighted Kappa | Std. Error | z | p-value | 95% CI l.inf | 95% CI l. sup |
|
|---|---|---|---|---|---|---|---|
| BOL whole – GLASS STD | Total cohort | 0.558 | 0.062 | 6.618 | <0.001** | 0.436 | 0.679 |
| NDM group | 0.485 | 0.088 | 4.157 | <0.001** | 0.312 | 0.658 | |
| DM group | 0.625 | 0.074 | 5.797 | <0.001** | 0.480 | 0.771 | |
| GLASS FP – GLASS IP | Total cohort | 0.037 | 0.086 | 0.434 | 0.664 | -0.133 | 0.206 |
| NDM group | 0.100 | 0.162 | 0.716 | 0.474 | -0.218 | 0.417 | |
| DM group | -0.019 | 0.095 | -0.176 | 0.860 | -0.205 | 0.168 | |
| GLASS FP – WIfI stage | Total cohort | -0.010 | 0.077 | -0.123 | 0.902 | -0.161 | 0.141 |
| NDM group | 0.121 | 0.107 | 1.034 | 0.301 | -0.090 | 0.331 | |
| DM group | -0.102 | 0.105 | -0.962 | 0.336 | -0.308 | 0.104 | |
| GLASS IP – WIfI stage | Total cohort | 0.183 | 0.088 | 2.239 | 0.025* | 0.011 | 0.356 |
| NDM group | -0.088 | 0.129 | -0.715 | 0.474 | -0.340 | 0.164 | |
| DM group | 0.392 | 0.087 | 3.805 | <0.001** | 0.221 | 0.563 |
| Group | OR for failure (plaques present vs. absent) |
95% CI | P-value |
|---|---|---|---|
| Overall | 0.33 | 0.15–0.74 | 0.006** |
| NDM group | 0.19 | 0.05–0.74 | 0.012* |
| DM group | — | — | NS |
| Subgroup | With stent n (%) | Without stent n (%) | Technical success (%) | Technical failure (%) | P-value |
|---|---|---|---|---|---|
| Total cohort | 31 (22.8) | 105 (77.2) | 27.7% | 8.6% | 0.04* |
| NDM group | 11 (21.6) | 40 (78.4) | 29.7% | 0% | NS |
| DM group | 20 (23.5) | 65 (76.5) | 26.6% | 14.3% | NS |
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