Literature DB >> 36214882

Predictive values of the SOFA score and procalcitonin for septic shock after percutaneous nephrolithotomy.

Haifeng Hou1, Jun Yang2, Zhenhua Han1, Xiaoyang Zhang1, Xiaoying Tang1, Tianming Chen3.   

Abstract

To investigate the value of combination of the Sequential Organ Failure Assessment (SOFA) score and procalcitonin (PCT) for prediction of septic shock after percutaneous nephrolithotomy (PCNL). A total of 1328 patients receiving PCNL for renal calculi were allocated into control group (without septic shock) and septic shock group, and related data were retrospectively collected. Univariate analysis was firstly performed, and the variables with two sided P < 0.10 were then included in logistic regression analysis to determine independent risk factors. Receiver operating characteristic (ROC) curve was utilized to evaluate the predictive values. Area under curve (AUC) was compared using Z test. Postoperative septic shock was developed in 61 patients (4.6%) and not developed in 1267 patients (95.3%). Multivariate analysis demonstrated that SOFA score (OR: 1.316, 95% CI 1.125-1.922), PCT (OR: 1.205, 95% CI 1.071-1.696) and operative time (OR: 1.108, 95% CI 1.032-1.441) were independent risk factors for septic shock with adjustment for sex, history of urolithiasis surgery, positive history of urine culture and history of PCNL. The ROC curves demonstrated that the AUCs of SOFA score and PCT for predicting septic shock after PCNL were 0.896 (95% CI 0.866-0.927) and 0.792 (95% CI 0.744-0.839), respectively. The AUC of their combination was 0.971 (95% CI 0.949-0.990), which was higher than those of individual predictions (vs 0.896, Z = 4.086, P < 0.001; vs 0.792, Z = 6.983, P < 0.001). Both the SOFA score and PCT could be applied in predicting septic shock after PCNL, and their combination could further elevate the diagnostic ability.
© 2022. The Author(s).

Entities:  

Keywords:  Percutaneous nephrolithotomy; Prediction; Procalcitonin; Sequential organ failure assessment score

Mesh:

Substances:

Year:  2022        PMID: 36214882      PMCID: PMC9584975          DOI: 10.1007/s00240-022-01366-7

Source DB:  PubMed          Journal:  Urolithiasis        ISSN: 2194-7228            Impact factor:   2.861


  36 in total

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Journal:  J Infect       Date:  2015-12-23       Impact factor: 6.072

2.  Percutaneous nephrolithotomy use is increasing in the United States: an analysis of trends and complications.

Authors:  Hossein S Mirheydar; Kerrin L Palazzi; Ithaar H Derweesh; David C Chang; Roger L Sur
Journal:  J Endourol       Date:  2013-08       Impact factor: 2.942

3.  Time to Recognition of Sepsis in the Emergency Department Using Electronic Health Record Data: A Comparative Analysis of Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment, and Quick Sequential Organ Failure Assessment.

Authors:  Priya A Prasad; Margaret C Fang; Yumiko Abe-Jones; Carolyn S Calfee; Michael A Matthay; Kirsten N Kangelaris
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4.  Research on the diagnostic effect of PCT level in serum on patients with sepsis due to different pathogenic causes.

Authors:  L Gai; Y Tong; B-Q Yan
Journal:  Eur Rev Med Pharmacol Sci       Date:  2018-07       Impact factor: 3.507

5.  The Clinical Research Office of the Endourological Society Percutaneous Nephrolithotomy Global Study: indications, complications, and outcomes in 5803 patients.

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Review 7.  Procalcitonin as a diagnostic marker for sepsis: a systematic review and meta-analysis.

Authors:  Christina Wacker; Anna Prkno; Frank M Brunkhorst; Peter Schlattmann
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9.  Comparison of qSOFA and SIRS for predicting adverse outcomes of patients with suspicion of sepsis outside the intensive care unit.

Authors:  Eli J Finkelsztein; Daniel S Jones; Kevin C Ma; Maria A Pabón; Tatiana Delgado; Kiichi Nakahira; John E Arbo; David A Berlin; Edward J Schenck; Augustine M K Choi; Ilias I Siempos
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10.  Diagnostic value of decoy receptor 3 combined with procalcitonin and soluble urokinase-type plasminogen activator receptor for sepsis.

Authors:  Jing-Jing Zhao; Xiao-Li Lou; Hong-Wei Chen; Feng-Ting Zhu; Yan-Qiang Hou
Journal:  Cell Mol Biol Lett       Date:  2018-05-09       Impact factor: 5.787

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