| Literature DB >> 34215781 |
Anastasia Murtha-Lemekhova1, Juri Fuchs1, Omid Ghamarnejad1, Mohammedsadegh Nikdad1, Pascal Probst1,2, Katrin Hoffmann3.
Abstract
The pathophysiology of post-hepatectomy liver failure is not entirely understood but is rooted in the disruption of normal hepatocyte regeneration and homeostasis. Current investigations of post-hepatectomy liver failure and regeneration are focused on evaluation of circulating hepatic function parameters (transaminases, cholestasis, and coagulation parameters), volumetry and hepatic hemodynamics. However, identification of biochemical factors associated with regeneration and post hepatectomy liver failure is crucial for understanding the pathophysiology and identification of patients at risk. The objective of the present systematic review was to identify circulating factors associated with liver regeneration and post hepatectomy liver failure in patients undergoing hepatectomy. The quantitative analysis was intended if studies provided sufficient data. Electronic databases (MEDLINE via PubMed, Web of Knowledge, Cochrane Library and WHO International Clinical Trials Registry Platform) were searched for publications on cell signaling factors in liver regeneration and post-hepatectomy liver failure following liver resection in clinical setting. No date restriction was given. No language restriction was used. Studies were assessed using MINORS. This study was registered at PROSPERO (CRD42020165384) prior to data extraction. In total 1953 publications were evaluated for titles and abstracts after exclusion of duplicates. Full texts of 167 studies were further evaluated for inclusion. 26 articles were included in the review and 6 publications were included in the meta-analyses. High levels of serum hyaluronic acid even preoperatively are associated with PHLF but especially increased levels early after resection are predictive of PHLF with high sensitivity and specificity. Postoperative elevation of HA to levels between 100 and 500 ng/ml is increased the risk for PHLF ([OR] = 246.28, 95% [CI]: 11.82 to 5131.83; p = 0.0004) Inteleukin-6 levels show contradicting result in association with organ dysfunction. HGF positively correlates with liver regeneration. Overall, due to heterogeneity, scarcity, observational study design and largely retrospective analysis, the certainty of evidence, assessed with GRADE, is very low. High levels of serum hyaluronic acid show a strong association with PHLF and increased levels after resection are predictive of PHLF with high sensitivity and specificity, even on POD1. Interleukin-6 levels need to be studied further due to contradictive results in association with organ dysfunction. For HGF, no quantitative analysis could be made. Yet, most studies find positive correlation between high HGF levels and regeneration. Prospective studies investigating HGF and other growth factors, hyaluronic acid and interleukins 1 and 6 in correlation with liver regeneration measured sequentially through e.g. volumetry, and liver function parameters, preferably expanding the analysis to include dynamic liver function tests, are needed to sufficiently illustrate the connection between biomolecule levels and clinical outcomes.Entities:
Year: 2021 PMID: 34215781 PMCID: PMC8253792 DOI: 10.1038/s41598-021-92888-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow chart of the study selection process.
MINORS.
| A clearly stated aim | Inclusion of consecutive patients | Prospective collection of data | Endpoints appropriate to the aim of the study | Unbiased assessment of the study endpoint | Follow-up period appropriate to the aim of the study | Loss to follow-up less than 5% | Prospective calculation of the study size | Total | |
|---|---|---|---|---|---|---|---|---|---|
| Das et al. (2001)[ | 2 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 8 |
| Kimura et al. (2006)[ | 2 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 8 |
| Maeda et al. (1999)[ | 2 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 6 |
| Mizuguchi et al. (2004)[ | 2 | 2 | 1 | 2 | 0 | 2 | 0 | 0 | 9 |
| Yachida et al. (2000)[ | 2 | 1 | 1 | 2 | 0 | 2 | 0 | 0 | 8 |
| Yachida et al. (2009)[ | 2 | 0 | 1 | 2 | 0 | 2 | 0 | 0 | 7 |
Figure 2Forrest plot of studies examining IL-6 levels and organ failure.
Figure 3Forrest plot of studies examining preoperative serum HA levels and liver dysfunction.
Figure 4Forrest plot of studies examining postoperative serum HA levels and liver dysfunction.
GRADE summary of findings.
| Outcome | Effect (95% CI) | Pooled prevalence (CI 95%) | Number of studies | Number of participants | Certainty of evidence (GRADE) |
|---|---|---|---|---|---|
| IL-1 as diagnostic factor for PHLF | – | – | 2 | 23 | Very low |
| IL-6 as diagnostic factor for organ dysfunction | MD (95% CI): 230.80 (− 440.46–902.05) | – | 2 | 152 | Very low |
| PreHA as a diagnostic factor for PHLF | Sensitivity: 45.16% (27.32–63.97%) Specificity: 93.50% (89.14–96.49%) | 13.42% (9.30–18.50%) | 2 | 231 | Very low |
| PostHA as diagnostic factor for PHLF | Sensitivity: 100% (83.89–100%) Specificity: 93.75% (88.47–97.10%) | 12.73% (8.05–18.79%) | 3 | 165 | Very low |
| HGF as diagnostic factor for PHLF | – | – | 1 | 24 | Very low |
| VEGF as diagnostic factor for PHLF | – | – | 5 | 250 | Very low |