ArticleJournal of inflammation research2024
Risk Factors for Systemic Inflammatory Response Syndrome After Percutaneous Transhepatic Cholangioscopic Lithotripsy.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Development and validation of a prediction model for cholangitis after percutaneous transhepatic cholangioscopic lithotripsy.Clinical and experimental medicine · 2025Article
- Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis.BMC medical informatics and decision making · 2025Article
- Deep insight into cytokine storm: from pathogenesis to treatment.Signal transduction and targeted therapy · 2025Review
- Nomogram for Predicting Sepsis After Percutaneous Transhepatic Cholangioscopic Lithotripsy.Journal of inflammation research · 2025Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: There is a lack of validated predictive models for the occurrence of systemic inflammatory response syndrome (SIRS) after percutaneous transhepatic cholangioscopic lithotripsy (PTCSL) for the treatment of hepatolithiasis. This is the first study to estimate the incidence of SIRS after PTCSL. Methods: A retrospective analysis of 284 PTCSL sessions for the treatment of hepatolithiasis at our institution between January 2019 and January 2023 was performed. The development of SIRS after PTCSL was the primary study endpoint. Independent risk factors for SIRS after PTCSL were identified using univariate and multivariate logistic regression analyses. A nomogram prediction model was constructed using these independent risk factors, and the predictive value was assessed using receiver operating characteristic (ROC) curves. Results: The incidence of SIRS after PTCSL was 20.77%. According to multivariate analysis, the number of PTCSL sessions (odds ratio [OR]=0.399, 95% confidence interval [CI]=0.202-0.786, p=0.008), stone location (OR=2.194, 95% CI=1.107-4.347, p=0.024), intraoperative use of norepinephrine (OR=0.301, 95% CI=0.131-0.689, p=0.004), intraoperative puncture (OR=3.476, 95% CI=1.749-6.906, P<0.001), preoperative gamma-glutamyltransferase (OR=1.002, 95% CI=1.001-1.004, p=0.009), and preoperative total lymphocyte count (OR=1.820, 95% CI=1.110-2.985, p=0.018) were found to be independent risk factors for the development of SIRS after PTCSL. These six independent risk factors were used to construct a nomogram prediction model, which showed satisfactory accuracy with an area under the ROC curve of 0.776 (95% CI: 0.702-0.850). Conclusion: The number of PTCSL sessions, stone location, intraoperative use of norepinephrine, intraoperative puncture, preoperative gamma-glutamyltransferase, and preoperative total lymphocyte count may predict the occurrence of SIRS after PTCSL. This prediction model may help clinicians identify high-risk patients in advance.
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