ABSTRACT
Objective: To assess the value of endovenous laser ablation [EVLA] for treating great saphenous vein [GSV] incompetence
Methods: We reviewed the overall results of EVLA procedures performed on 554 patients in our clinic between March 2011 and December 2015. Evaluations were made concerning the situations of the great saphenous vein [GSV], the energy used in the treatments, and the results obtained. We also investigated if there was a possibility to detect failure of EVLA treatment at an early stage
Results: From a total of 657 GSVs that were subjected to EVLA treatment, the procedure was found to be successful for 611 GSVs and unsuccessful for 46 GSVs [success rate: 93%]. In 38 of the 46 GSVs, a thrombus formation was detected by color Doppler ultrasonography [CDUS] at the postoperative first month [82.6%]
Conclusion: EVLA is a reliable and successful method utilized for the treatment of GSV incompetence. It is concluded that the detection of a thrombus in the GSV tract during the first postoperative follow-up month is an indicator for revascularization
ABSTRACT
Objective: In this study we planned to investigate the relationship between presence of kidney stones and stone burden with hypertension [HT], diabetes mellitus [DM] and body mass index [BMI]. Methods: A total of 574 patients were included in the study. None of the patients had a history of stones. The 121 patients with kidney stone identified on ultrasound evaluation and the 453 patients with no stones were compared in terms of HT, BMI and DM. The stone burden of 121 patients with diagnosed stones was compared in terms of the same variables. Results: Of the 121 patients with kidney stones 30 [24.7%] had HT, while 66 [14.5%] of the 453 patients without stones had HT [p=0.007]. BMI values of those with and without stones were 27.2 +/- 4.93 kg/m2 and 25.29 +/- 4.12 kg/m2, respectively [p<0.001]. Twenty-five [20.6%] of the patients with stones diagnosed by ultrasound had DM, while 49 [10.8%] of those without stones had DM [p=0.004]. When comparing patients with and without kidney stones, logistic regression analysis revealed that DM [odds ratio [OR] 2.06, 95% confidence interval [CI] 1.17 to 3.63, p=0.013] and BMI [OR 1.08, CI 1.03 to 1.13, p=0.003] were independently associated with presence of stones. No significant relationship was found between the same variables and cumulative stone diameter [CSD] and stone surface area [SA] evaluated for stone burden. Conclusions: While diabetes mellitus, Hypertension and increased Body Mass Index may add to the possibility of stone formation, they did not affect stone burden