Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy

ObjectiveThe aim of the current study was to evaluate the risk factors that influence the development of postoperative systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL), including cytokines and lymphocyte subsets.MethodsA total of 154 patients who underwent PCN...

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Main Authors: Yu He, Ding Xia, Yonghua Tong, Haojie Shang, Xiao Liu, Ejun Peng, Qiu Huang, Kun Tang, Zhiqiang Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.1017219/full
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author Yu He
Ding Xia
Yonghua Tong
Haojie Shang
Xiao Liu
Ejun Peng
Qiu Huang
Kun Tang
Zhiqiang Chen
author_facet Yu He
Ding Xia
Yonghua Tong
Haojie Shang
Xiao Liu
Ejun Peng
Qiu Huang
Kun Tang
Zhiqiang Chen
author_sort Yu He
collection DOAJ
description ObjectiveThe aim of the current study was to evaluate the risk factors that influence the development of postoperative systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL), including cytokines and lymphocyte subsets.MethodsA total of 154 patients who underwent PCNL at our hospital between October 2019 and January 2022 were retrospectively reviewed. The development of post-PCNL SIRS was the primary endpoint of the study. Univariable analysis and multivariable logistic regression analysis were performed to identify independent risk factors of post-PCNL SIRS. A nomogram was constructed using the independent risk factors, and receiver operating characteristic (ROC) curves were drawn.ResultsThere were 50 patients (32.5%) who developed SIRS after PCNL. In multivariate analysis, positive urine culture (odds ratio [OR], 3.556; p = 0.048), long operation time (OR, 1.011; p = 0.027), high IL-2R (OR, 1.002; p = 0.018), low percentage of CD3+ cells (OR 0.931; p = 0.006), and high white blood cell (WBC) count (OR, 1.282; p = 0.044) were independent risk factors for post‐PCNL SIRS. These five significant variables were used to generate a nomogram that exhibited favorable fitting. The discrimination area under the ROC curves was 0.795.ConclusionsPatients with long operation times, positive urine cultures, high interleukin 2 receptor, high white blood cell counts, and low percentages of CD3+ cells may be at a higher risk of developing SIRS after PCNL. In these patients, cautious and comprehensive preoperative evaluations and appropriate treatment strategies should be considered.
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spelling doaj.art-d18ff9699b9c409cb93f1011c15b068c2022-12-22T03:43:17ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-11-011310.3389/fimmu.2022.10172191017219Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomyYu HeDing XiaYonghua TongHaojie ShangXiao LiuEjun PengQiu HuangKun TangZhiqiang ChenObjectiveThe aim of the current study was to evaluate the risk factors that influence the development of postoperative systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL), including cytokines and lymphocyte subsets.MethodsA total of 154 patients who underwent PCNL at our hospital between October 2019 and January 2022 were retrospectively reviewed. The development of post-PCNL SIRS was the primary endpoint of the study. Univariable analysis and multivariable logistic regression analysis were performed to identify independent risk factors of post-PCNL SIRS. A nomogram was constructed using the independent risk factors, and receiver operating characteristic (ROC) curves were drawn.ResultsThere were 50 patients (32.5%) who developed SIRS after PCNL. In multivariate analysis, positive urine culture (odds ratio [OR], 3.556; p = 0.048), long operation time (OR, 1.011; p = 0.027), high IL-2R (OR, 1.002; p = 0.018), low percentage of CD3+ cells (OR 0.931; p = 0.006), and high white blood cell (WBC) count (OR, 1.282; p = 0.044) were independent risk factors for post‐PCNL SIRS. These five significant variables were used to generate a nomogram that exhibited favorable fitting. The discrimination area under the ROC curves was 0.795.ConclusionsPatients with long operation times, positive urine cultures, high interleukin 2 receptor, high white blood cell counts, and low percentages of CD3+ cells may be at a higher risk of developing SIRS after PCNL. In these patients, cautious and comprehensive preoperative evaluations and appropriate treatment strategies should be considered.https://www.frontiersin.org/articles/10.3389/fimmu.2022.1017219/fullCD3+ cellsIL-2Rnomogrampercutaneous nephrolithotomysystemic inflammatory response syndrome
spellingShingle Yu He
Ding Xia
Yonghua Tong
Haojie Shang
Xiao Liu
Ejun Peng
Qiu Huang
Kun Tang
Zhiqiang Chen
Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
Frontiers in Immunology
CD3+ cells
IL-2R
nomogram
percutaneous nephrolithotomy
systemic inflammatory response syndrome
title Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
title_full Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
title_fullStr Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
title_full_unstemmed Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
title_short Predictive value of CD3+ cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
title_sort predictive value of cd3 cells and interleukin 2 receptor in systemic inflammatory response syndrome after percutaneous nephrolithotomy
topic CD3+ cells
IL-2R
nomogram
percutaneous nephrolithotomy
systemic inflammatory response syndrome
url https://www.frontiersin.org/articles/10.3389/fimmu.2022.1017219/full
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