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Acta Phlebologica 2002 August;3(2):75-83

Copyright © 2002 EDIZIONI MINERVA MEDICA

language: Italian

Chronic venous insufficiency and varicose veins of the lower limbs. Venous reflux localization and prevalence

Peruzzi G. P. 1, Spina T. 1, Procacci T. 1, De Anna D. 2, Corcos L. 3

1 Laboratorio Vascolare, Istituto di Ricerche Cliniche Prosperius, Firenze; 2 Cattedra di Chirurgia Generale, Università degli Studi di Udine, Udine; 3 Università degli Studi di S. Marino e Ferrara


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BACKGROUND: To verify the distribution and frequency of the superficial and deep venous reflux (R) in chronic venous insufficiency (CVI) due to varicose veins of the lower limbs. According to the protocol study of CVI “CIF-REFLUX”, the duplex filing data of 898 limbs in 449 patients have been collected in the phlebologic archive software.
METHODS: R grading: absent; moderate (degree 1 and 2 if R<2 sec); important (degree 3 if R>2sec). Haemodynamic types of R: 1st type: sapheno-femoral (SFJ) and/or sapheno-popliteal joint (SPJ); 2nd type: SFJ and/or SPJ with perforating veins (PV); 3rd type: SFJ with degree 3 R in the deep veins (DV) and in PV; 4th type: degree 3 R in the DV and in PV; 5th type: reflux in upper districts; other types of R not included in the CIF-RELUX.
RESULTS: No 96 1st type (10.7%); No 143 2nd type (15.9%); No 52 3rd type (5.8%); No 53 4th type (5.9%); No 5 5th type (0.5%) = total No 349 (38.8%). No 549 (61.2%) types not included: No 81 normal (9%); No 228 reticular veins and/or telangectases (VR+TAI) (25.4%); No 48 VR+TAI with lymphoedema (5.3%); No 40 VR+TAI with venous-muscular pump insufficiency (VMPI) (4.4%); No 35 isolated DVI (3.9%); No 12 Congenital venous malformations (CVM) (1.3%); No 105 R in peripheral superficial veins (11.7%) The 5 types represent the 38.8% of the pathologic limbs, does not include the isolated deep venous R (3.9%), the peripheral superficial R (11.7%) , the CVM (1.3%), the VR+TAI (25.4%) and VR+TAI with lymphoedema or VMPI (9.7%).
CONCLUSIONS: It seems necessary to use more widely the available data in order to definite a complete and precise distribution of the

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