Open AccessThe effect of abdominal fat parameters on percutaneous nephrolithotomy success
Author(s) -
Özgür Çakmak,
Hüseyin Tarhan,
Sertaç Çimen,
Rahmi Gökhan Ekin,
İlker Akarken,
Özgür Öztekin,
Ertan Can,
Tufan Süelözgen,
Yusuf Özlem İlbey
Publication year - 2016
Publication title -
canadian urological association journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.477
H-Index - 38
eISSN - 1920-1214
pISSN - 1911-6470
DOI - 10.5489/cuaj.3484
Subject(s) - percutaneous nephrolithotomy , medicine , univariate analysis , adipose capsule of kidney , body mass index , visceral fat , waist , adipose tissue , abdominal fat , logistic regression , univariate , abdomen , surgery , nuclear medicine , obesity , percutaneous , multivariate analysis , multivariate statistics , kidney , insulin resistance , statistics , mathematics
Obesity has been suggested to lower the success of percutaneous nephrolithotomy (PCNL). However, the relationship between abdominal fat parameters, such as visceral and subcutaneousabdominal adipose tissue, and PCNL success remained unclear. In this study, we aimed to investigate the effect of abdominal fat parameters on PCNL success.Methods: A total of 150 patients who underwent PCNL were retrospectively enrolled in this study. Group 1 consisted of patients who had no residual stones or residual stone fragments <3 mm in diameter while group 2 included patients with residual stone fragments ≥3 mm. PCNL procedure was defined as successful if all stones were eliminated or if there were residual stone fragments <3 mm in diameter confirmed by non-contrast computed tomography (NCCT) performed postoperatively. Preoperative NCCT was used to determine abdominal fat parameters.Results: Group 1 consisted of 117 (78.0%) patients while group 2 included 33 (22.0%) patients. On univariate analysis, stone number, stone surface area (SSA), visceral fat area (VFA), abdominal circumference on computerized tomography (ACCT), and duration of procedure were found to be predictive factors affecting PCNL success. Logistic regression analysis revealed that ACCT and SSAwere independent prognostic factors for PCNL success.Conclusions: PCNL success was not affected by VFA, subcutaneous fat area (SFA) and body mass index (BMI) in our series. However, ACCT and SSA had negative associations with PCNL success. We conclude that both ACCT and SSA can be used as tools for predicting PCNL outcomes.