Literature DB >> 19535106

Predictors of cost and clinical outcomes of percutaneous nephrostolithotomy.

Aditya Bagrodia1, Amit Gupta, Jay D Raman, Karim Bensalah, Margaret S Pearle, Yair Lotan.   

Abstract

PURPOSE: There is a paucity of information on the association of preoperative parameters with surgical outcomes and cost. We identified preoperative predictors of direct cost and examined the association of these factors with the perioperative outcomes of percutaneous nephrostolithotomy.
MATERIALS AND METHODS: We reviewed the records of 200 consecutive patients who underwent percutaneous nephrostolithotomy at our hospital from September 2005 to May 2007. Complete cost and clinical information were available on 179 patients (89.5%). Patient and stone characteristics, and perioperative outcomes were recorded. Direct and component costs, including room and board, laboratory, pharmacy, radiology, operating room, surgical supplies, anesthesia and recovery room, were obtained from our hospital billing department. Univariate and multivariate linear regression analyses were performed to identify preoperative predictors of cost. We evaluated the association of independent predictors of cost with perioperative outcomes.
RESULTS: On univariate analysis stone size category, preoperative urinary tract infection and allopurinol were associated with direct cost. On multivariate analysis only stone burden was an independent predictor of nephrostolithotomy cost. Large stone burden was associated with an increased need for multiple access (p = 0.0003), longer operative time (p <0.0001), longer hospitalization duration (p <0.0001), a lower stone-free rate (p = 0.038) and the need for second look flexible nephroscopy (p = 0.0005). Large stone burden was not associated with a greater transfusion requirement (p = 0.25) or an increased complication rate (p = 0.46).
CONCLUSIONS: A large stone burden independently predicts higher costs in patients who undergo percutaneous nephrostolithotomy despite no associated increase in the complication or transfusion rate. Other patient characteristics, including age, body mass index and comorbidity status, do not increase cost.

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Year:  2009        PMID: 19535106     DOI: 10.1016/j.juro.2009.04.014

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  9 in total

1.  Nephrolithometric Scoring Systems to Predict Outcomes of Percutaneous Nephrolithotomy.

Authors:  Simone L Vernez; Zhamshid Okhunov; Piruz Motamedinia; Vincent Bird; Zeph Okeke; Arthur Smith
Journal:  Rev Urol       Date:  2016

2.  Costs variations for percutaneous nephrolithotomy in the U.S. from 2003-2015: A contemporary analysis of an all-payer discharge database.

Authors:  Jeffrey J Leow; Anne-Sophie Valiquette; Benjamin I Chung; Steven L Chang; Quoc-Dien Trinh; Rus Korets; Naeem Bhojani
Journal:  Can Urol Assoc J       Date:  2018-06-19       Impact factor: 1.862

3.  Managing Small Ureteral Stones: A Retrospective Study on Follow-Up, Clinical Outcomes and Cost-Effectiveness of Conservative Management vs. Early Surgery.

Authors:  Aristeidis Alevizopoulos; Dimitrios Zosimas; Lamprini Piha; Milad Hanna; Konstantinos Charitopoulos
Journal:  Curr Urol       Date:  2016-02-10

4.  The cost of operating room delays in an endourology center.

Authors:  Sara Maskal; Rajat Jain; Donald Fedrigon; Emily Rose; Manoj Monga; Sri Sivalingam
Journal:  Can Urol Assoc J       Date:  2020-07       Impact factor: 1.862

5.  The economics of stone disease.

Authors:  Noah E Canvasser; Peter Alken; Michael Lipkin; Stephen Y Nakada; Hiren S Sodha; Abdulkadir Tepeler; Yair Lotan
Journal:  World J Urol       Date:  2017-01-20       Impact factor: 4.226

Review 6.  Predictability and Practicality of Image-Based Scoring Systems for Patient Assessment and Outcome Stratification During Percutaneous Nephrolithotomy: a Contemporary Update.

Authors:  Linda My Huynh; Erica Huang; Roshan M Patel; Zhamshid Okhunov
Journal:  Curr Urol Rep       Date:  2017-10-18       Impact factor: 3.092

7.  Renal stone composition does not affect the outcome of percutaneous nephrolithotomy in children.

Authors:  Onur Kaygısız; Fethi Ahmet Türegün; Nihat Satar; Ender Özen; Serdar Toksöz; Hasan Serkan Doğan; Mehmet Mesut Pişkin; Volkan İzol; Şaban Sarıkaya; Hakan Kılıçarslan; Tufan Çiçek; Ahmet Öztürk; Serdar Tekgül; Bülent Önal
Journal:  World J Urol       Date:  2018-05-14       Impact factor: 4.226

8.  Low Urologist Density Predicts High-Cost Surgical Treatment of Stone Disease.

Authors:  David B Bayne; Manuel Armas-Phan; Sudarshan Srirangapatanam; Justin Ahn; Timothy T Brown; Marshall Stoller; Thomas L Chi
Journal:  J Endourol       Date:  2020-11-06       Impact factor: 2.942

Review 9.  Economic impact of urinary stones.

Authors:  Elias S Hyams; Brian R Matlaga
Journal:  Transl Androl Urol       Date:  2014-09
  9 in total

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