scholarly journals Fever and systemic inflammatory response syndrome after retrograde intrarenal surgery: Risk factors and predictive model

2018 ◽  
Vol 34 (7) ◽  
pp. 400-408 ◽  
Author(s):  
Tian Li ◽  
Xiang-Zhou Sun ◽  
De-Hui Lai ◽  
Xun Li ◽  
Yong-Zhong He
Keyword(s):  
Risk Factors ◽  
Systemic Inflammatory Response Syndrome ◽  
Inflammatory Response ◽  
Predictive Model ◽  
Systemic Inflammatory Response ◽  
Retrograde Intrarenal Surgery

scholarly journals Establishment of a Predictive Model for Factors Related to Systemic  Inflammatory Response Syndrome (SIRS) after Percutaneous Nephrolithotomy (PCNL)

2020 ◽  
Author(s):  
Min Ju ◽  
Jin Zheng ◽  
Lin Lin Gao ◽  
Li Ying Pan
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Systemic Inflammatory Response Syndrome ◽  
Inflammatory Response ◽  
Predictive Model ◽  
Percutaneous Nephrolithotomy ◽  
Operative Time ◽  
Univariate Analysis ◽  
Renal Stones ◽  
Systemic Inflammatory Response

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.

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
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Systemic Inflammatory Response Syndrome ◽  
Inflammatory Response ◽  
Percutaneous Nephrolithotomy ◽  
Operative Time ◽  
Univariate Analysis ◽  
Infection Process ◽  
Systemic Inflammatory Response ◽  
Related Factors

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.

scholarly journals SERUM ZINC AND C-REACTIVE PROTEIN LEVELS AS RISK FACTORS FOR MORTALITY IN SYSTEMIC INFLAMMATORY RESPONSE SYNDROME

2018 ◽  
Vol 24 (1) ◽  
pp. 1
Author(s):  
Dwi Retnoningrum ◽  
Banundari Rachmawati ◽  
Dian Widyaningrum
Keyword(s):  
Risk Factors ◽  
Systemic Inflammatory Response Syndrome ◽  
Inflammatory Response ◽  
Serum Zinc ◽  
Latex Agglutination ◽  
Systemic Inflammatory Response ◽  
C Reactive Protein ◽  
Protein Levels ◽  
Reactive Protein

Kondisi Systemic Inflammatory Response Syndrome (SIRS) berkebahyaan terjadinya sepsis dan kegagalan multi organ. Inflamasidapat menyebabkan terjadinya redistribusi zinc ke jaringan sehingga terjadi penurunan kadar zinc plasma. Kadar CRP pada SIRSmeningkat sebagai respons peningkatan protein tahap akut. Tujuan penelitian ini untuk mengetahui apakah kadar zinc dan CRP serummerupakan faktor kebahayaan kematian di pasien SIRS. Penelitian observasional analitik dengan pendekatan kohort prospektif di 30pasien SIRS berusia 27–64 tahun. Kadar zinc serum diperiksa dengan metode atomic absorbance spectrophotometer (AAS) dan CRPserum dengan metode latex agglutination immunoassay menggunakan alat autoanaliser. Kejadian kematian subjek dinilai setelah 28hari perawatan. Data dilakukan uji statistik Chi-Kwadrat, bila tidak memenuhi maka dilakukan uji alternatif Fisher. Besarnya nilaifaktor kebahyaan dilakukan perhitungan kebahayaan relatif. Rerata kadar zinc dan CRP berturut-turut 81,24 ± 8,72 μg/dL, dan 8,13± 8,12 mg/dL. Kematian dalam 28 hari adalah 33,3%. Penelitian ini menunjukkan bahwa kadar zinc plasma < 80 μg/dL bukanmerupakan faktor kebahayaan terjadinya kematian (p=0,114), sedangkan kadar CRP ≥ 10 mg/dL merupakan faktor kebahayaanterjadinya kematian di pasien SIRS (RR=3,28, 95% CI 1,33-8,13, p=0,015). Kadar zinc plasma bukan merupakan faktor kebahayaanterjadinya kematian pada SIRS, sedangkan kadar CRP merupakan faktor kebahayaan terjadinya kematian di pasien SIRS.

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