ArticleScientific reports2023
Development and validation of a nomogram for predicting sepsis in patients with pyogenic liver abscess.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Risk Factors and Predictive Value of Sepsis in Patients with Liver Abscess.Infection and drug resistance · 2026Article
- Evaluating the liver fibrosis and waist-to-height ratio(LFWHR) as a gallstone disease predictor: a nomogram model and SHAP analysis.Scientific reports · 2025Article
- The relationship between the triglyceride to high-density lipoprotein cholesterol ratio and positive blood or pus cultures in patients with pyogenic liver abscess.Lipids in health and disease · 2025Article
- Development and validation of a nomogram for predicting antibiotic treatment duration in patients with liver abscess complicated by diabetes.Scientific reports · 2025Article
- Development and Validation of a Risk Prediction Model for New-Onset Atrial Fibrillation in Sepsis.International journal of general medicine · 2025Article
- Clinical Characteristics and Risk Factors for Blood Culture-Positive Klebsiella pneumoniae Liver Abscess: A Retrospective Study.International medical case reports journal · 2025Article
- Successful Multidisciplinary Treatment of Severe Pyogenic Liver Abscess Caused by Fish Bone: A Case Report.Cureus · 2024Article
- Iron regulatory protein 2 contributes to antimicrobial immunity by preserving lysosomal function in macrophages.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pyogenic liver abscess (PLA) is a severe condition that significantly increases the risk of sepsis. However, there is a notable dearth of research regarding the prediction of sepsis in PLA patients. The objective of this study was to develop and validate a prognostic nomogram for predicting sepsis in PLA patients. A total of 206 PLA patients were enrolled in our study, out of which 60 individuals (29.1%) met the Sepsis-3 criteria. Independent risk factors for sepsis were identified through univariate and multivariate logistic regression analyses. Subsequently, a nomogram was developed based on age, positive blood culture, procalcitonin, alanine aminotransferase, blood urea nitrogen, and D-dimer. The nomogram demonstrated excellent calibration and discrimination, as evidenced by the area under the receiver operating characteristic curve (AUC) values of 0.946 (95% confidence interval [CI], 0.912-0.979) and 0.980 (95%CI 0.951-1.000) in the derivation and validation cohorts, respectively. Furthermore, decision-curve analysis confirmed the clinical utility of the nomogram. This study provides valuable insights for the prevention of sepsis in PLA patients and underscores the potential application of the prognostic nomogram in clinical practice.
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