Establishment of Predictive Model for Related Factors of Systemic Inflammatory Response Syndrome (SIRS) After Percutaneous Nephrolithotomy (PCNL)

2020 ◽  
Author(s):  
Min Ju ◽  
Jin Zheng ◽  
li Ying Pan ◽  
lin Lin Gao

Abstract Background:The percutaneous nephrolithotomy (PCNL) is a primary method of stone treatment, but the infection is a very common postoperative complication. The systemic inflammatory response syndrome (SIRS) is a stage of the infection process and a very important early clinical manifestation of sepsis, so identifying the risk factors associated with SIRS after PCNL plays an important role in ensuring patients’ safety and preventing sepsis. Methods:Between September 2016 and September 2017,there were total 352 patients who were diagnosed as renal stone and were treated with PCNL, andincluded in this study at last.Patients were divided into two groups according to whether SIRS occurred or not.The univariate analysis was performed on the related risk factors such as patients' age, gender, number of stone, diabetes et al. Then logistic regression was used for multivariate analysis and established a prediction model.Results:There are 352renal stone patients were treated with PCNL, and 106 patients (30.1%) suffered SIRS after operation.It was found that the operative time, preoperative fever and diabetes could be deemed as risk factors, and the Then logistic regression results indicated that diabetes (OR=2.049, 95%CI 1.008~4.166) and operative time (OR=1.011, 95%CI 1.003~1.019) entered the regression equation.Conclusion: Diabetes and operative time are independent risk factors for SIRS after PCNL, so the probability of SIRS after PCNL can be determined in accordance with these two indicators.

2020 ◽  
Author(s):  
Min Ju ◽  
Jin Zheng ◽  
Lin Lin Gao ◽  
Li Ying Pan

Abstract Background: Percutaneous nephrolithotomy (PCNL) is a primary treatment method for renal stones, but infection is a very common postoperative complication. Systemic inflammatory response syndrome (SIRS) is a stage of the infection process and a very important early clinical manifestation of sepsis, so identifying the risk factors associated with SIRS after PCNL is important for ensuring patient safety and preventing sepsis.Objective: To analyze the risk factors for SIRS after PCNL, identify the predictive factors, and perform risk factor analysis.Methodology: Between September 2016 and September 2017, 352 patients who were diagnosed with renal stones and treated with PCNL were included in this study. The patients were divided into two groups according to whether SIRS occurred. Univariate analysis was performed on the related risk factors, including patient age; gender; body mass index; urine culture; number, types and quantity of rental stones; diabetes; blood glucose; complications; hospital stay; residual stones; and Guy’s degree. Then, logistic regression was used to perform multivariate analysis and establish a predictive model.Results: A total of 352 patients with renal stones were treated with PCNL, and 106 patients (30.1%) developed SIRS after surgery. Operative time, preoperative fever and diabetes were found to be risk factors, and the logistic regression results indicated that diabetes (OR=2.049, 95%CI 1.008~4.166) and operative time (OR=1.011, 95%CI 1.003~1.019) could be entered into the regression equation. Therefore, the predictive regression model was P=1/[1+e-(-2.097+0.712 diabetes + 0.012 operative time)].Conclusion: Diabetes and operative time are independent risk factors for SIRS after PCNL, so the probability of SIRS after PCNL can be determined according to these two indicators.


2008 ◽  
Vol 15 (12) ◽  
pp. 1025-1028 ◽  
Author(s):  
Liang Chen ◽  
Qing-Quan Xu ◽  
Jian-Xing Li ◽  
Liu-Lin Xiong ◽  
Xiao-Feng Wang ◽  
...  

Urolithiasis ◽  
2013 ◽  
Vol 41 (5) ◽  
pp. 395-401 ◽  
Author(s):  
Tunc Erdil ◽  
Yakup Bostanci ◽  
Ender Ozden ◽  
Fatih Atac ◽  
Yarkin Kamil Yakupoglu ◽  
...  

2013 ◽  
Vol 12 (1) ◽  
pp. e163-e164
Author(s):  
T. Erdil ◽  
Y. Bostanci ◽  
E. Ozden ◽  
F. Atac ◽  
Y.K. Yakupoglu ◽  
...  

Author(s):  
Uygar Miçooğulları ◽  
Orçun Çelik ◽  
Mehmet Çağlar Çakıcı ◽  
Erdem Kısa ◽  
Cem Yücel ◽  
...  

Objective: First objective of this study was to find out factors influencing development of postoperative systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PNL). Secondary objective was to point out the role of preoperative neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in SIRS estimation. Method: The data of 756 patients that underwent PNL for kidney stones between 2012 and 2019 were evaluated retrospectively. Patients were divided into 2 groups as non-SIRS and SIRS group. The effects of NLR, PLR and other operative and demographic variables on development of SIRS were investigated. Multivariate logistic regression analysis that was performed on variables that were significant in the univariate analyses was used to establish independent risk factor for post-PNL SIRS. Results: Univariate analysis revealed a significant association between presence of SIRS and preoperative PLR (p<0.001), preoperative NLR (p<0.001), blood transfusion (p<0.001), stone volume (p=0.03), staghorn stone (p<0.001), and preoperative creatinine levels (<0.001). Multivariate logistic regression analyses of these risk factors showed that NLR (p<0.001), PLR (p<0.001), and blood transfusions (p<0.001) were independently associated with SIRS. When the cut-off value of PLR was 120.5, the development of SIRS was predicted with 80.1% specificity and 81% sensitivity. When the cut-off value of NLR was 2.75, the development of SIRS was predicted with 64% specificity and 63.7% sensitivity. Conclusion: Preoperative PLR and NLR are effective and inexpensive biomarkers that can be used to predict SIRS and sepsis after PNL. We recommend that patients with PLR >120.5, NLR >2.75, and blood transfusions should be monitored closely due to the possible development of serious complications.


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