Abstract

The aim of this study was to measure the treatment efficiency of percutaneous nephrolithotomy (PNL) patients by Data Envelopment Analysis (DEA), as a novel method with an output minimizing model. Urinary stone disease is a frequent problem with increasing prevalence in recent years. Depending on the location and size, the treatment of renal stone 2 cm or more is surgical and PNL. In this context, a retrospective study in which 154 patients with kidney stones over 2 cm was conducted. Some biochemical perioperative and postoperative characteristics of patients (Sodium (NA), potassium (K), creatinine (CRE), and hemoglobin (HB) and stone area) were analyzed.

Highlights

  • IntroductionIt can cause colic-like pain, nausea, vomiting, hematuria, and frequent urination, which can negatively affect patients’ quality of life

  • Contrary to classical Data Envelopment Analysis (DEA) theory, a novel output minimization model with uncontrollable output was proposed, Malmquist analysis was used to find out the difference between patients according to gender and age

  • The decomposition of the index revealed that no remarkable difference within decision-making units clearly, between age and gender groups the results were quite different

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Summary

Introduction

It can cause colic-like pain, nausea, vomiting, hematuria, and frequent urination, which can negatively affect patients’ quality of life. Regardless of the stone size, its prevalence has been steadily increasing in recent years and ranges from 5 to 15% worldwide [1]. Urinary system stones can be seen in any location of the urinary system. The location and dimensions of the stone are the first step in the selection of surgical treatment to be applied. According to EAU guidelines in kidney stones, the first choice for stones 2 cm or more is percutaneous nephrolithotomy (PNL). For stones smaller than 1 cm, preferences are Extra corporeal shockwave lithotripsy (ESWL) or retrograde intrarenal surgery (RIRS) [2]

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