ArticleFrontiers in medicine2025
Development and validation of a predictive model for invasive syndrome in patients with
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- <p>Molecular medicine reports · 2026Review
- A machine learning-based online prediction model for recurrence risk in patients withFrontiers in cellular and infection microbiology · 2026Article
- SOFA score in gas-forming pyogenic liver abscess: a case series of seven patients with exploratory analysis of severity and mortality.Frontiers in medicine · 2026Article
- Clinical characteristics of pyogenic liver abscess patients with multiple organ dysfunction syndrome and development and validation of a predictive model.Frontiers in cellular and infection microbiology · 2026Article
- Development and validation of a predictive model for assessing the risk of recurrence in patients with Klebsiella pneumoniae-induced pyogenic liver abscess.BMC infectious diseases · 2025Article
- Development and validation of a prediction model for invasive syndrome in liver abscess patients based on LASSO regression: a multi-center retrospective cohort study in China.Frontiers in medicine · 2025Article
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7 authors.
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Abstract
Introduction: Pyogenic liver abscess (PLA) is a life-threatening liver bacterial infection causing suppurative lesions. In Asia, hypervirulent Methods: We retrospectively analyzed clinical data from 529 KPLA patients treated at Chengde Medical University Affiliated Hospital between August 1, 2014, and November 30, 2024. By using the 7:3 stratified random sampling method, the patients were assigned to two cohorts: derivation ( Results: Of the 529 enrolled patients, 33 patients (6.2%) developed IKPLAS (IKPLAS group), while the remaining 496 patients were included in the non-invasive group (NIKPLAS group). Both groups showed significant differences ( Conclusion: Viral hepatitis, T2DM, abscess diameter, presence of a gas-containing abscess, and SOFA score are the predictive factors of IKPLAS. The developed nomogram provides reliable risk stratification for patients with KPLA and can be applied clinically to predict IKPLAS cases.
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