| Literature DB >> 20886039 |
Maria Papp1, Gary L Norman, Zsuzsanna Vitalis, Istvan Tornai, Istvan Altorjay, Ildiko Foldi, Miklos Udvardy, Zakera Shums, Tamas Dinya, Peter Orosz, Bela Lombay, Gabriella Par, Alajos Par, Gabor Veres, Timea Csak, Janos Osztovits, Ferenc Szalay, Peter Laszlo Lakatos.
Abstract
BACKGROUND: Bacterial translocation plays important role in the complications of liver cirrhosis. Antibody formation against various microbial antigens is common in Crohn's disease and considered to be caused by sustained exposure to gut microflora constituents. We hypothesized that anti-microbial antibodies are present in patients with liver cirrhosis and may be associated with the development of bacterial infections. METHODOLOGY/PRINCIPALEntities:
Mesh:
Substances:
Year: 2010 PMID: 20886039 PMCID: PMC2944893 DOI: 10.1371/journal.pone.0012957
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Clinical characteristics of patients with liver cirrhosis.
|
| |
|
| 161/125 |
|
| 56.3±10.7 |
|
| 56 (50–64) |
|
| |
|
| 96 |
|
| 107 |
|
| 76 |
|
| 7 |
|
| 14.6±6.5 |
|
| 65.8±97.4 |
|
| 33.5±7.8 |
|
| 121.1±69.2 |
|
| 123 (43.1%) |
|
| 93 |
|
| 24 |
|
| 6 |
|
| 33 (11.5%) |
|
| 440±347 |
|
| 425 (107–732) |
|
| 81 (28.3%) |
|
| 45 |
|
| 22 |
|
| 14 |
SD: standard deviation, IQR: inter-quartile range, HCC: hepatocellular carcinoma, NA: not available.
Anti-microbial serological markers in patients with chronic liver diseases and healthy controls.
| ASCA | Anti-OMP Plus™ | ||
| Number | IgA and/or IgG | IgA | |
|
| 286 | 110 (38.5%) | 179 (62.6%) |
|
| 124 | 11 (8.9%) | 3 (2.4%) |
|
| 266 | 59 (22.2%) | 44 (16.5%) |
|
| 153 | 31 (20.3%) | 26 (17.0%) |
|
| 59 | 18 (30.5%) | 9 (15.3%) |
|
| 54 | 10 (18.5%) | 9 (16.7%) |
|
| 100 | 16 (16%) | 20 (20%) |
AIH = autoimmune hepatitis, HCV = viral hepatitis C, PBC = primary biliary cirrhosis, PSC = primary sclerosing cholangitis.
*p<0.001 between liver cirrhosis and chronic HCV, autoimmune liver diseases, healthy controls.
p<0.001 between chronic HCV patients and autoimmune liver diseases, healthy controls.
p = 0.04 between PSC and healthy controls.
p<0.001 between PSC and chronic HCV.
p<0.01 between PSC and chronic HCV.
by using Fisher's exact test or χ2-test with Yates correction if appropriate.
Anti-microbial serological markers in patients with liver cirrhosis according to the disease severity depicted by Child-Pugh stages.
| Child-Pugh stages | |||
| A (n = 96) | B (n = 107) | C (n = 76) | |
|
| 23 (24.0%) | 42 (39.3%) | 45 (59.2%) |
| ASCA IgA | 15 (15.6%) | 37 (34.6%) | 43 (56.6%) |
| ASCA IgG | 14 (14.6%) | 16 (15.0%) | 18 (23.7%) |
|
| 38 (39.6%) | 77 (72.0%) | 64 (84.2%) |
|
| 18 (17.7%) | 38 (35.5%) | 44 (57.9%) |
*P<0.001 for both by linear-by-linear association.
Child-Pugh stage were not available for 7 patients.
Figure 1Anti-microbial antibody levels in patients with cirrhosis with various levels of severity, as depicted either by Child-Pugh stages (A) or MELD score (B).
A. Individual values are shown by black spots. Mean values with standard error bars are indicated in blue. Cut-off values for positivity are 25 Units for all antibodies. P<0.001 between all groups by ANOVA post hoc Scheffe for ASCA IgA and anti-OMP Plus™ IgA P = NS for ASCA IgG. B. MELD Q1-Q4 represent the groups of patients broken down by quartile: quartile1 patients have the lowest severity up to quartile4, representing patients with the highest level of severity. P<0.001 between all groups by ANOVA post hoc Scheffe for ASCA IgA and anti-OMP Plus™ IgA P = NS for ASCA IgG.
Anti-microbial serological markers in cirrhotic patients according to the absence or presence of ascites.
| Patients without ascites | Patients with ascites | |
| (n = 150) | (n = 136) | |
|
| 46 (30.7%) | 63 (46.3%) |
| ASCA IgA | 39 (26.0%) | 58 (42.6%) |
| ASCA IgG | 25 (16.7%) | 24 (17.6%) |
|
| 75 (50.0%) | 103 (75.7%) |
|
| 39 (26.0%) | 60 (44.1%) |
*p<0.01,
p<0.001 between cirrhotic patients with or without ascites by χ2-test with Yates correction and linear-by-linear association for serological responses.
Logistic regression: Predictive factors for severe bacterial infection in patients with liver cirrhosis.
| Factor | Coefficient |
| OR | 95% CI |
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| 0.355 | 0.228 | 1.43 | 0.80–2.54 |
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| −0.096 | 0.669 | 0.91 | 0.58–1.41 |
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| 0.481 | 0.004 | 1.62 | 1.16–2.25 |
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| −0.094 | 0.85 | 0.92 | 0.44–1.89 |
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| 0.796 | 0.005 | 2.22 | 1.27–3.86 |
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| 0.491 | 0.018 | 1.63 | 1.09–2.45 |
The coefficient is equivalent to the natural log of the OR; p value: level of significance;
OR: odds ratio; 95% CI: 95% confidence interval.
Figure 2Association between Child-Pugh stages (A), presence of ascites (B), co-morbidities (C), seropositivity to ASCA/anti-OMP Plus™ (D) and the development of severe bacterial infection in patients with liver cirrhosis.
Infection-free survival refers to the proportion of patients in the cohort without infection at a given time during the follow-up. A. Patients with Child C stage cirrhosis were at higher risk for developing severe bacterial infections compared to patients with Child A or B disease. B. Patients with ascites were at higher risk for developing severe bacterial infections compared to patients without ascites. C. Patients with co-morbidity were at higher risk for developing severe bacterial infections compared to patients without co-morbidity. D. Patients with multiple seropositivity were at higher risk for developing severe bacterial infections compared to seronegative ones.
Summary of Cox model: factors affecting time to first severe bacterial infection.
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| Hazard Ratio | 95% CI | |
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| 0.006 | 1.83 | 1.19–2.80 |
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| <0.001 | ||
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| reference | ||
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| 0.048 | 1.71 | 1.01–2.91 |
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| <0.001 | 3.26 | 1.90–5.59 |
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| 0.77 | 1.04 | 0.78–1.39 |
p value: level of significance; 95% CI: 95% confidence interval.