Liver-gut Axis Study Through Identification of Liver Disease-specific Microbiome
NCT06519162
Abdominal Abscess, Abscess
Daejeon, Jung-gu, South Korea
View Trial DetailsNCT Number: NCT06852235
1. To assess the frequency, clinical presentation, microbiological and radiological characteristics of liver abscesses. 2. To evaluate the management plan and treatment outcome of liver abscess. 3. To study risk factors of liver abscess.
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Observational
There is a paucity of information on liver abscesses' epidemiology and characteristics in the Middle East in general and Egypt in particular.
The incidence of liver abscess varies from one country to another. The annual incidence of pyogenic liver abscess has been estimated at 2.3 cases per 100,000 populations and 18-20 per 100 000 hospital admissions (Mohsen et al 2002, Kaplan et al 2004).
Liver abscess is a potentially life-threatening condition (Ahmed et al., 2016).
A review by Chan KS et al. of 16 pyogenic LA (PLA) articles showed mortality rates ranging from 0% to 15.7 % (Chan et al., 2022).
The etiology of LA can be bacterial (most often polymicrobial), parasitic (amebic essentially), mixed (pyogenic superinfection of parasitic abscess) or more rarely fungal (Nakanishi et al., 2009).
Microbes can invade the liver parenchyma by way of the bile ducts, blood stream (hematogenic, most often portal), or by contiguous spread, especially via the gallbladder bed (Yoo et al., 1993, Thomsen et al., 2007).
Advanced age, diabetes mellitus (DM) and the presence of underlying malignancy are considered major risk factors, and the latter is associated with a worse prognosis (Yoo et al., 1993, Thomsen et al., 2007).
The number of cryptogenic liver abscess cases has been on the rise, and no predisposing conditions (cryptogenic) was reported in 18% (McNeil et al. 2020).
The diagnosis of LA relies essentially on imaging. Sonography and CT scan lead to diagnosis in more than 90% of cases (Halvorsen et al., 1984).
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Baseline
Data will be statistically evaluated by SPSS version 22. Numerical data will be expressed as means ± SDs.
Categorical data will be expressed as frequencies (percentages).
Comparison between groups will be conducted using t-test or Chi square test as appropriate.
P value <0.05 will be considered as significant.
Time frame: Baseline
Data will be statistically evaluated by SPSS version 22. Numerical data will be expressed as means ± SDs.
Categorical data will be expressed as frequencies (percentages).
Comparison between groups will be conducted using t-test or Chi square test as appropriate.
P value <0.05 will be considered as significant.
Time frame: Baseline
Data will be statistically evaluated by SPSS version 22. Numerical data will be expressed as means ± SDs.
Categorical data will be expressed as frequencies (percentages).
Comparison between groups will be conducted using t-test or Chi square test as appropriate.
P value <0.05 will be considered as significant.
Contact information is provided by the study sponsor or research team.
Assiut University
Other
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