Literature DB >> 33426058

Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy.

Jun Wang1, Yuanyuan Mi1, Sheng Wu1, Hongbao Shao1, Lijie Zhu1, Feng Dai1.   

Abstract

INTRODUCTION: To describe the clinical parameters of urinary stones and investigate the preoperative predictors of sepsis in patients following percutaneous nephrolithotomy (PCNL). Patients and Methods. A retrospective study of patients who underwent PCNL between August 2017 and December 2019 was performed. The patients were divided into the sepsis and nonsepsis groups according to whether they had sepsis, and their data were compared for further analysis.
RESULTS: Fifteen (6.1%) patients matching in age, gender, body mass index (BMI), and the number of access variables were included in the sepsis group. The multivariate analysis demonstrated that the staghorn calculi (OR: 12.206, P < 0.001) and positive midstream urine culture (OR: 16.505, P < 0.001) were independent risk factors of sepsis, while preoperative renal fistula (OR: 0.122, P < 0.001) was a protective factor of sepsis. The three factors were ultimately selected to develop a nomogram to predict the probability of sepsis. The new nomogram was well calibrated and had higher diagnostic accuracy (the area under the curve: 0.916).
CONCLUSIONS: Our study reveals that patients with complex stones and positive bacteriuria are associated with a significantly high risk of sepsis after surgery. The removal of obstruction before operation under certain conditions might be a reliable protective factor of sepsis.
Copyright © 2020 Jun Wang et al.

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Year:  2020        PMID: 33426058      PMCID: PMC7772030          DOI: 10.1155/2020/6081768

Source DB:  PubMed          Journal:  Biomed Res Int            Impact factor:   3.411


  23 in total

1.  Pre- and Postoperative Predictors of Infection-Related Complications in Patients Undergoing Percutaneous Nephrolithotomy.

Authors:  Marcelino Rivera; Boyd Viers; Patrick Cockerill; Deepak Agarwal; Ramila Mehta; Amy Krambeck
Journal:  J Endourol       Date:  2016-08-03       Impact factor: 2.942

2.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

3.  Risk factors for postoperative infectious complications following percutaneous nephrolithotomy: a prospective clinical study.

Authors:  Omer Koras; Ibrahim Halil Bozkurt; Tarik Yonguc; Tansu Degirmenci; Burak Arslan; Bulent Gunlusoy; Ozgu Aydogdu; Suleyman Minareci
Journal:  Urolithiasis       Date:  2014-10-01       Impact factor: 3.436

4.  [Do the nephrolithometry scoring systems predict the success of percutaneous nephrolithotomy. Comparison of 4 scores: The Guy's stone score, STONE Score, CROES nomogram and S-ReSC score].

Authors:  M Bibi; A Sellami; K Chaker; Y Ouanes; M D Kheiredine; M A Ben Chehida; S Ben Rhouma; Y Nouira
Journal:  Prog Urol       Date:  2019-06-11       Impact factor: 0.915

5.  Risk Factors for Postoperative Complications of Percutaneous Nephrolithotomy at a Tertiary Referral Center.

Authors:  Daniel Olvera-Posada; Thomas Tailly; Husain Alenezi; Philippe D Violette; Linda Nott; John D Denstedt; Hassan Razvi
Journal:  J Urol       Date:  2015-07-02       Impact factor: 7.450

6.  C-Reactive Protein and Erythrocyte Sedimentation Rate Predict Systemic Inflammatory Response Syndrome After Percutaneous Nephrolithotomy.

Authors:  Vishnu Ganesan; Robert D Brown; Juan Antonio Jiménez; Shubha De; Manoj Monga
Journal:  J Endourol       Date:  2017-05-24       Impact factor: 2.942

7.  Role of preoperative and intraoperative factors in mediating infection complication following percutaneous nephrolithotomy.

Authors:  B Lojanapiwat; P Kitirattrakarn
Journal:  Urol Int       Date:  2011-04-20       Impact factor: 2.089

8.  Prevalence of kidney stones in China: an ultrasonography based cross-sectional study.

Authors:  Guohua Zeng; Zanlin Mai; Shujie Xia; Zhiping Wang; Keqin Zhang; Li Wang; Yongfu Long; Jinxiang Ma; Yi Li; Show P Wan; Wenqi Wu; Yongda Liu; Zelin Cui; Zhijian Zhao; Jing Qin; Tao Zeng; Yang Liu; Xiaolu Duan; Xin Mai; Zhou Yang; Zhenzhen Kong; Tao Zhang; Chao Cai; Yi Shao; Zhongjin Yue; Shujing Li; Jiandong Ding; Shan Tang; Zhangqun Ye
Journal:  BJU Int       Date:  2017-03-21       Impact factor: 5.588

9.  [Safety and feasibility of outpatient flexible ureteroscopy for urinary stones: A retrospective single-center study].

Authors:  E Bosquet; B Peyronnet; R Mathieu; Z-E Khene; B Pradere; A Manunta; S Vincendeau; F Guille; K Bensalah; G Verhoest
Journal:  Prog Urol       Date:  2017-08-30       Impact factor: 0.915

Review 10.  Genetic basis of renal cellular dysfunction and the formation of kidney stones.

Authors:  Saeed R Khan; Benjamin K Canales
Journal:  Urol Res       Date:  2009-06-11
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  4 in total

1.  Comparison of Two Predictive Models of Sepsis in Critically Ill Patients Based on the Combined Use of Inflammatory Markers.

Authors:  Xiaoming Li; Chao Liu; Xiaoli Wang; Zhi Mao; Hongyu Yi; Feihu Zhou
Journal:  Int J Gen Med       Date:  2022-02-02

2.  Nomogram for predicting risk factor of urosepsis in patients with diabetes after percutaneous nephrolithotomy.

Authors:  Jie Gu; Jun Liu; Yang Hong; Yi Feng; Xiaobo Huang
Journal:  BMC Anesthesiol       Date:  2022-03-31       Impact factor: 2.217

3.  A Novel Nomogram for Predicting Post-Operative Sepsis for Patients With Solitary, Unilateral and Proximal Ureteral Stones After Treatment Using Percutaneous Nephrolithotomy or Flexible Ureteroscopy.

Authors:  Jian-Xuan Sun; Jin-Zhou Xu; Chen-Qian Liu; Yang Xun; Jun-Lin Lu; Meng-Yao Xu; Ye An; Jia Hu; Cong Li; Qi-Dong Xia; Shao-Gang Wang
Journal:  Front Surg       Date:  2022-04-15

4.  Construction and Evaluation of a Sepsis Risk Prediction Model for Urinary Tract Infection.

Authors:  Luming Zhang; Feng Zhang; Fengshuo Xu; Zichen Wang; Yinlong Ren; Didi Han; Jun Lyu; Haiyan Yin
Journal:  Front Med (Lausanne)       Date:  2021-05-21
  4 in total

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