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

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 pe...

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Autores principales: Wang, Jun, Mi, Yuanyuan, Wu, Sheng, Shao, Hongbao, Zhu, Lijie, Dai, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772030/
https://www.ncbi.nlm.nih.gov/pubmed/33426058
http://dx.doi.org/10.1155/2020/6081768
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author Wang, Jun
Mi, Yuanyuan
Wu, Sheng
Shao, Hongbao
Zhu, Lijie
Dai, Feng
author_facet Wang, Jun
Mi, Yuanyuan
Wu, Sheng
Shao, Hongbao
Zhu, Lijie
Dai, Feng
author_sort Wang, Jun
collection PubMed
description 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.
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spelling pubmed-77720302021-01-08 Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy Wang, Jun Mi, Yuanyuan Wu, Sheng Shao, Hongbao Zhu, Lijie Dai, Feng Biomed Res Int Research Article 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. Hindawi 2020-12-22 /pmc/articles/PMC7772030/ /pubmed/33426058 http://dx.doi.org/10.1155/2020/6081768 Text en Copyright © 2020 Jun Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Jun
Mi, Yuanyuan
Wu, Sheng
Shao, Hongbao
Zhu, Lijie
Dai, Feng
Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy
title Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy
title_full Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy
title_fullStr Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy
title_full_unstemmed Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy
title_short Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy
title_sort impact factors and an efficient nomogram for predicting the occurrence of sepsis after percutaneous nephrolithotomy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772030/
https://www.ncbi.nlm.nih.gov/pubmed/33426058
http://dx.doi.org/10.1155/2020/6081768
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