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Systemic inflammatory response syndrome after percutaneous nephrolithotomy: An assessment of risk factors
Author(s) -
Chen Liang,
Xu QingQuan,
Li JianXing,
Xiong LiuLin,
Wang XiaoFeng,
Huang XiaoBo
Publication year - 2008
Publication title -
international journal of urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 67
eISSN - 1442-2042
pISSN - 0919-8172
DOI - 10.1111/j.1442-2042.2008.02170.x
Subject(s) - medicine , percutaneous nephrolithotomy , systemic inflammatory response syndrome , logistic regression , risk assessment , incidence (geometry) , blood transfusion , predictive value , surgery , percutaneous , mathematics , computer security , geometry , computer science , sepsis
Objectives: To analyze the risk factors for systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL) and to quantitatively predict the probability of SIRS after PCNL. Methods: Medical records on 209 patients who underwent PCNL were retrospectively analyzed. The χ 2 test, the t ‐test and a logistic regression model were used to identify key risk factors of SIRS after PCNL. A predictive equation was then formulated to assess the risk of SIRS according to the results from the logistic model. Subsequently, the accuracy of the equation by calculating sensitivity, specificity, overall correct percentage, and positive and negative predictive values was tested. Results: The incidence of SIRS after PCNL was 23.4%. The key risk factors for SIRS following PCNL were: the number of tracts, receipt of a blood transfusion, stone size, and presence of pyelocaliectasis. Other factors added no independent risk to the development of SIRS. The calculated values for sensitivity, specificity, overall percentage correct, positive predictive value and negative predictive value were 44.9%, 95.0%, 83.3%, 73.3%, and 84.9%, respectively. Conclusions: Number of tracts, receipt of a blood transfusion, stone size and presence of pyelocaliectasis are identified as the key risk factors for SIRS after PCNL. The predictive equation allows for an individualized and quantitative assessment of the probability of SIRS after PCNL.