| Literature DB >> 24137292 |
Zhen Zheng1, Xu Li, Zhiliang Li, Xiaochun Ma.
Abstract
Artificial and bioartificial liver support systems (LSSs) appear to be safe and effective in the treatment of acute and acute-on-chronic hepatic failure (AHF and AOCHF); however, individually published studies and previous meta-analyses have revealed inconclusive results. The aim of the present meta-analysis was to derive a more precise estimation of the benefits and disadvantages of artificial and bioartificial LSSs for patients with AHF and AOCHF. A literature search was conducted in the PubMed, Embase, Web of Science and Chinese Biomedical (CBM) databases for publications prior to March 1, 2013. Crude relative risks (RRs) or standardized mean differences (SMDs) with 95% confidence intervals (95% CI) were calculated using either the fixed effects or random effects models. Nineteen randomized controlled trials (RCTs) were included, which comprised a total of 566 patients with AHF and 371 patients with AOCHF. The meta-analysis showed that artificial LSS therapy significantly reduced mortality in patients with AOCHF; however, it had no apparent effect on total mortality in patients with AHF. The results also indicated that the use of bioartificial LSSs was correlated with decreased mortality in patients with AHF. A significant reduction in the bridging to liver transplantation was observed in patients with AOCHF following artificial LSS therapy; however, similar results were not observed in patients with AHF. Patients with AHF and those with AOCHF showed significant reductions in total bilirubin levels following artificial LSS therapy. There were no significantly increased risks of hepatic encephalopathy or bleeding in either the patients with AHF or AOCHF following artificial or bioartificial LSS therapies. Univariate and multivariate meta-regression analyses confirmed that none of the factors explained the heterogeneity. The present meta-analysis indicated that artificial LSSs reduce mortality in patients with AOCHF, while the use of bioartificial LSSs was correlated with reduced mortality in patients with AHF.Entities:
Keywords: hepatic failure; liver support systems; meta-analysis; meta-regression
Year: 2013 PMID: 24137292 PMCID: PMC3797301 DOI: 10.3892/etm.2013.1241
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.447
Figure 1.Flow chart of literature search and study selection.
Characteristics of included studies in this meta-analysis.
| First author | Year | Country | n
| Subtype of HF | Etiology | Interventions | CONSORT score | |
|---|---|---|---|---|---|---|---|---|
| Treatment | Control | |||||||
| Redeker | 1973 | USA | 8 | 20 | AHF | Viral hepatitis | Transfusion (artificial) | 13 |
| O’Grady | 1988 | UK | 29 | 33 | AHF | Multi-etiology | Hemoperfusion (artificial) | 16 |
| Davenport | 1993 | UK | 12 | 18 | AHF | Multi-etiology | Hemofiltration (artificial) | 16 |
| Hughes | 1994 | UK | 5 | 5 | AHF | Drug induced liver disease/viral hepatitis | BioLogic-DT (artificial)[ | 17 |
| Ellis | 1996 | UK | 12 | 12 | AHF | Multi-etiology | ELAD (bioartificial)[ | 14 |
| Mazariegos | 1997 | USA | 5 | 5 | AHF | NR | BioLogic-DT (artificial)[ | 16 |
| Kramer | 1998 | Austria | 10 | 10 | AOCHF | Multi-etiology | BioLogic-DT (artificial)[ | 17 |
| Wilkinson | 1998 | USA | 6 | 5 | AHF | Multi-etiology | BioLogic-DT (artificial)[ | 17 |
| Ellis | 1999 | UK | 5 | 5 | AOCHF | Alcoholic liver disease | BioLogic-DT (artificial)[ | 11 |
| He | 2000 | China | 37 | 33 | AHF | Viral hepatitis | Hemoperfusion/hemofiltration (artificial)[ | 11 |
| He | 2000 | China | 27 | 27 | AOCHF | Viral hepatitis | Hemoperfusion/hemofiltration (artificial)[ | 11 |
| Mitzner | 2000 | Germany | 8 | 5 | AOCHF | Multi-etiology | MARS (artificial)[ | 16 |
| Stevens | 2001 | USA/Europe | 73 | 74 | AHF | Multi-etiology | HepatAssist (bioartificial)[ | 12 |
| Heemann | 2002 | Germany | 12 | 11 | AOCHF | Multi-etiology | MARS (artificial)[ | 17 |
| Demetriou | 2004 | Denmark | 73 | 74 | AHF | Multi-etiology | HepatAssist (bioartificial) | 18 |
| El Banayosy | 2004 | Germany | 14 | 13 | AHF | Cardiogenic shock | MARS (artificial)[ | 11 |
| Sen | 2004 | UK | 9 | 9 | AOCHF | Alcoholic liver disease | MARS (artificial)[ | 15 |
| Laleman | 2006 | Belgium | 12 | 6 | AOCHF | Alcoholic liver disease | MARS/Prometheus (artificial) | 13 |
| Hassanein | 2007 | Germany | 39 | 31 | AOCHF | Liver cirrhosis | MARS (artificial)[ | 20 |
| Kribben | 2012 | Europe | 77 | 68 | AOCHF | Multi-etiology | Prometheus (artificial) [ | 21 |
mortality,
bridging to transplantation,
hepatic encephalopathy,
bleeding,
total bilirubin (mg/dl). NR, not reported; HF, hepatic failure; AHF, acute hepatic failure; AOCHF, acute-on-chronic hepatic failure; MARS, molecular adsorbent recirculation system; ELAD, extracorporeal liver assist device; CONSORT, Consolidated Standards of Reporting Trials.
Figure 2.Forrest plot on the effects of artificial and bioartificial liver support systems on mortality in patients with acute and acute-on-chronic hepatic failure (AHF and AOCHF). RR, relative risk; CI, confidence intervals.
Figure 3.Forrest plot on the effects of artificial liver support systems on bridging to liver transplantation in patients with acute and acute-on-chronic hepatic failure (AHF and AOCHF). RR, relative risk; CI, confidence intervals.
Figure 4.Forrest plot on the effects of artificial liver support systems on total bilirubin levels in patients with acute and acute-on-chronic hepatic failure. (AHF and AOCHF). RR, relative risk; CI, confidence intervals.
Univariate and multivariate meta-regression analyses of potential sources of heterogeneity.
| Heterogeneity factor | Coefficient | SE | z | P-value | 95% CI
| |
|---|---|---|---|---|---|---|
| UL | LL | |||||
| Publication year | ||||||
| Univariate | −0.005 | 0.015 | −0.34 | 0.736 | −0.034 | 0.024 |
| Multivariate | 0.032 | 0.063 | 0.51 | 0.613 | −0.092 | 0.155 |
| Country | ||||||
| Univariate | 0.077 | 0.073 | 1.05 | 0.293 | −0.066 | 0.220 |
| Multivariate | −0.059 | 0.256 | −0.23 | 0.817 | −0.562 | 0.443 |
| Subtype of hepatic failure | ||||||
| Univariate | −0.019 | 0.036 | −0.52 | 0.603 | −0.088 | 0.051 |
| Multivariate | −0.024 | 0.065 | −0.37 | 0.713 | −0.150 | 0.103 |
| Etiology | ||||||
| Univariate | 0.010 | 0.036 | 0.28 | 0.777 | −0.059 | 0.080 |
| Multivariate | −0.040 | 0.105 | −0.38 | 0.704 | −0.246 | 0.166 |
| Interventions | ||||||
| Univariate | −0.004 | 0.030 | −0.13 | 0.893 | −0.063 | 0.054 |
| Multivariate | 0.004 | 0.078 | 0.05 | 0.957 | −0.148 | 0.156 |
| CONSORT score | ||||||
| Univariate | −0.044 | 0.033 | −1.34 | 0.179 | −0.108 | 0.020 |
| Multivariate | −0.112 | 0.139 | −0.81 | 0.419 | −0.384 | 0.160 |
SE, standard error; 95% CI, 95% confidence interval; UL, upper limit; LL, lower limit; CONSORT, Consolidated Standards of Reporting Trials.
Figure 5.Sensitivity analysis of the summary relative risk coefficients on the effects of artificial liver support systems on mortality. Results were computed by omitting each study in turn. Meta-analysis random-effects estimates (exponential form) were used. The two ends of the dotted lines represent the 95% confidence intervals (CI).
Figure 6.Begg’s funnel plot of publication bias in a selection of studies on the effects of artificial liver support systems on mortality. Each point represents a separate study for the indicated correlation. Log[RR], natural logarithm of relative risk (RR). Horizontal line, mean magnitude of the effect.