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Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy

OBJECTIVE: To analyze the risk factors of patients with diabetes mellitus (DM) and urosepsis after percutaneous nephrolithotomy (PCNL) for upper urinary tract stones and to develop a nomogram to predict postoperative urosepsis according to the risk factors. METHODS: The data of patients with type 2...

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Autores principales: Liu, Jun, Yang, Qingya, Lan, Jiayi, Hong, Yang, Huang, Xiaobo, Yang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082959/
https://www.ncbi.nlm.nih.gov/pubmed/33910537
http://dx.doi.org/10.1186/s12894-021-00799-3
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author Liu, Jun
Yang, Qingya
Lan, Jiayi
Hong, Yang
Huang, Xiaobo
Yang, Bo
author_facet Liu, Jun
Yang, Qingya
Lan, Jiayi
Hong, Yang
Huang, Xiaobo
Yang, Bo
author_sort Liu, Jun
collection PubMed
description OBJECTIVE: To analyze the risk factors of patients with diabetes mellitus (DM) and urosepsis after percutaneous nephrolithotomy (PCNL) for upper urinary tract stones and to develop a nomogram to predict postoperative urosepsis according to the risk factors. METHODS: The data of patients with type 2 diabetes who underwent one-stage PCNL due to upper urinary tract stones were retrospectively analyzed. The risk factors of patients with postoperative urosepsis were evaluated by univariate and multivariate logistic regression analysis, and the nomogram prediction model was developed according to the regression coefficient. RESULTS: One-stage PCNL was successfully completed in 241 patients with DM, and urosepsis occurred in 41 (17.0%) patients after PCNL. Based on multivariate logistic regression analysis, the independent risk factors associated with postoperative urosepsis included preoperative leukocyte elevation (OR = 3.973, P = 0.005), positive urine nitrite (OR = 3.697, P = 0.010), and positive urine culture (OR = 3.562, P = 0.002). According to the results of the logistic regression analysis model, staghorn stones (OR = 2.049, P < 0.1) and complete intraoperative stone clearance (OR = 0.431, P < 0.1), were used to develop the nomogram. Internal validation of the nomogram showed that the concordance index (C-index) was 0.725. Additionally, the Hosmer–Lemeshow test was performed, P = 0.938 > 0.05. CONCLUSION: Preoperative leukocyte elevation, positive urine nitrite, and positive urine culture are independent risk factors for urosepsis after one-stage PCNL for patients with DM with upper urinary tract stones. The nomogram, which is based on independent risk factors that combine stone morphology and intraoperative stone clearance, can help predict the risk of postoperative urosepsis.
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spelling pubmed-80829592021-04-30 Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy Liu, Jun Yang, Qingya Lan, Jiayi Hong, Yang Huang, Xiaobo Yang, Bo BMC Urol Research Article OBJECTIVE: To analyze the risk factors of patients with diabetes mellitus (DM) and urosepsis after percutaneous nephrolithotomy (PCNL) for upper urinary tract stones and to develop a nomogram to predict postoperative urosepsis according to the risk factors. METHODS: The data of patients with type 2 diabetes who underwent one-stage PCNL due to upper urinary tract stones were retrospectively analyzed. The risk factors of patients with postoperative urosepsis were evaluated by univariate and multivariate logistic regression analysis, and the nomogram prediction model was developed according to the regression coefficient. RESULTS: One-stage PCNL was successfully completed in 241 patients with DM, and urosepsis occurred in 41 (17.0%) patients after PCNL. Based on multivariate logistic regression analysis, the independent risk factors associated with postoperative urosepsis included preoperative leukocyte elevation (OR = 3.973, P = 0.005), positive urine nitrite (OR = 3.697, P = 0.010), and positive urine culture (OR = 3.562, P = 0.002). According to the results of the logistic regression analysis model, staghorn stones (OR = 2.049, P < 0.1) and complete intraoperative stone clearance (OR = 0.431, P < 0.1), were used to develop the nomogram. Internal validation of the nomogram showed that the concordance index (C-index) was 0.725. Additionally, the Hosmer–Lemeshow test was performed, P = 0.938 > 0.05. CONCLUSION: Preoperative leukocyte elevation, positive urine nitrite, and positive urine culture are independent risk factors for urosepsis after one-stage PCNL for patients with DM with upper urinary tract stones. The nomogram, which is based on independent risk factors that combine stone morphology and intraoperative stone clearance, can help predict the risk of postoperative urosepsis. BioMed Central 2021-04-28 /pmc/articles/PMC8082959/ /pubmed/33910537 http://dx.doi.org/10.1186/s12894-021-00799-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Jun
Yang, Qingya
Lan, Jiayi
Hong, Yang
Huang, Xiaobo
Yang, Bo
Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
title Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
title_full Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
title_fullStr Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
title_full_unstemmed Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
title_short Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
title_sort risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082959/
https://www.ncbi.nlm.nih.gov/pubmed/33910537
http://dx.doi.org/10.1186/s12894-021-00799-3
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