Literature DB >> 32939635

Multiple septae as potential protective factors against spontaneous pyogenic liver abscess rupture: a propensity score matching analysis.

Hairui Wang1, Yue Ren1, Zhaoyu Liu1, Zhihui Chang2.   

Abstract

PURPOSE: The symptoms of spontaneous rupture of a pyogenic liver abscess (PLA) are severe and often life-threatening. Multiple septae are important imaging features of PLA. However, the relationship between septation and abscess rupture is still under debate.
METHODS: Patients diagnosed with PLA from January 2011 to November 2019 in our hospital were included. We collected demographic, clinical, and computed tomography data. Univariate and multivariate analyses determined liver abscess rupture risk factors. The relationship between multiple septae and abscess rupture was evaluated by propensity score matching after matching other influencing factors.
RESULTS: A total of 583 patients of pyogenic liver abscesses were included in the study: 30 ruptured and 553 unruptured. Multivariate analysis revealed diabetes, single lesion, gas formation, left hepatic lobe location, and a diameter > 66.5 mm as independent risk factors for ruptures, while multiple septae were identified as a protective factor. After matching all the influencing factors (excluding multiple septae), multiple septae and abscess rupture maintain a negative relationship.
CONCLUSIONS: Multiple septae were identified as a potentially protective factor against spontaneous pyogenic liver abscess ruptures.

Entities:  

Keywords:  CT; Multiple septae; Propensity score matching; Pyogenic liver abscess; Spontaneous rupture

Mesh:

Year:  2020        PMID: 32939635     DOI: 10.1007/s00261-020-02758-2

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  1 in total

1.  Analysis of clinical and CT characteristics of patients with Klebsiella pneumoniae liver abscesses: an insight into risk factors of metastatic infection.

Authors:  Zhihui Chang; Jiahe Zheng; Yujia Ma; Zhaoyu Liu
Journal:  Int J Infect Dis       Date:  2014-12-30       Impact factor: 3.623

  1 in total

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