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Erschienen in: BMC Gastroenterology 1/2019

Open Access 01.12.2019 | Research article

Comprehensive evaluation of effects and safety of statin on the progression of liver cirrhosis: a systematic review and meta-analysis

verfasst von: Yue Gu, Xueqin Yang, Hang Liang, Deli Li

Erschienen in: BMC Gastroenterology | Ausgabe 1/2019

Abstract

Background

Statin has been more and more widely used in chronic liver disease, however, existed studies have attained contradictory results. According to the present study, we aimed to test the efficacy and safety of statin via a meta-analysis.

Methods

Different databases were searched for full-text publication based on inclusion and exclusion criteria. For data-pooling, fixed-effect model was applied if heterogeneity wasn’t detected. Otherwise, random-effect model was adopted. Heterogeneity was detected by I squire (I2) test. All results of analysis were illustrated as forest plots. Publication bias was assessed using the Begg’s adjusted rank correlation test. Standard mean difference (SMD) was calculated in continuous variables. Pooled hazard ratio or odds ratio was calculated in catergorical variables.

Results

Seventeen clinical studies were finally included. Hepatic portal hemodynamic parameters were improved in statin users for a short-term response. For a long-term follow-up, statin treatment surprisingly decreased mortality rate (HR = 0.782, 95% CI: 0.718–0.846, I2 > 50%) and lower the occurrence of hepatocellular carcinoma (HR = 0.75, 95% CI: 0.64–0.86, I2 > 50%) in liver cirrhosis. Statin seemed not to decrease the risk of esophageal variceal bleeding and spontaneous bacterial peritonitis. However, statin was proved to decrease the risk of hepatic encephalopathy and ascites. Incidence of drug related adverse events didn’t increase in statin users. Dose-dependent effects of statin on hepatocellular carcinoma development, decompensated cirrhosis events occurrence, and liver cirrhosis progression.

Conclusion

Statin influenced parameters of hepatic portal vessel pressure in short-term treatment. Prognosis of liver cirrhosis benefited from statin treatment in long term follow-up. The efficacy and safety of statin in liver cirrhosis treatment is confirmed. To date, similar study is hardly seen before.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12876-019-1147-1.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CAD
Coronary Atherosclerosis Disease
CI
Confidence interval
FHVP
Free Hepatic Vein Pressure
HCC
Hepatocellular carcinoma
HMG-CoA
3-hydroxy-3-methylglutaryl co-enzyme A
HR
Hazard Ratio
HVPG
Hepatic Venous Pressure Gradient
OR
Odds Ratio
PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
SBP
Spontaneous bacterial peritonitis
SMD
Standard Mean Difference
WHVP
Wedged Hepatic Venous Pressures

Background

The major causes of liver cirrhosis are: alcoholic liver disease (ALD), chronic viral hepatitis (chronic hepatitis B, chronic hepatitis C), non-alcoholic fatty liver disease (NAFLD) or non-alcoholic steatohepatitis (NASH), and others such as primary biliary cholangitis (primary biliary cirrhosis, PBC), primary sclerosing cholangitis (PSC), autoimmune hepatitis, hemochromatosis, Wilson’s disease, alpha-metabolic diseases such as: 1-antitrypsin deficiency, galactosemia and glycogen storage disorders, and heart failure with liver congestion [1]. After liver cirrhosis developed into decompensated cirrhosis, mortality rate would astoundingly increase [2]. Nowadays, liver cirrhosis has become one of the most deadly disease all over the world [3, 4], and hepatic encephalopathy, variceal haemorrhage, spontaneous bacterial peritonitis, and hepatocellular carcinoma (HCC), etc. are listed as the main cause of death in liver cirrhosis [5]. The disease progression could be hardly reversed when decompensated liver cirrhosis is developed, and therefore, early intervention of preventive medication may play an important role to fight against liver cirrhosis and improve its prognosis.
Statins is a set of lipid-lowering agents by targeting at inhibiting the activity of 3-hydroxy-3-methylglutaryl co-enzyme A (HMG-CoA) reductase, resulting in inhibition of cholesterol generation and serum cholesterol levels downregulation [6, 7]. Except for its well-acknowledged function, decreasing serum low density lipoprotein C cholesterol, statin is also believed to alleviate oxidative stress injury, prohibit inflammatory cell activation, reduce the level of inflammation reaction, and improve endothelial function through a nitric oxide synthase dependent pathway [811]. Recent years, statin has been more and more widely used in chronic liver disease [12, 13], and it draws a lot of interests in investigating the good effects of statins on the primary prevention and secondary prevention of liver cirrhosis. Retrospective cohort studies in large populations of patients with cirrhosis and pre-cirrhotic conditions have shown that treatment with statins, with the purpose of decreasing high cholesterol levels, was associated with a reduced risk of disease progression, hepatic decompensation, hepatocellular carcinoma development, and death. Finally, a few randomised controlled trials (RCTs) have shown that treatment with simvastatin decreases portal pressure (two studies) and mortality (one study). Statin treatment was generally well tolerated but a few patients developed severe side effects, particularly rhabdomyolysis. Despite these promising beneficial effects, further RCTs are required, with larger patient series and hard clinical endpoints should be performed before statins can be recommended for use in patients with chronic liver disease [1419]. However, statins itself could lead to hepatic dysfunction [6], especially in combination with the drug which is metabolised by cytochrome P450 enzyme system [20]. Considering the potential hepatotoxicity of statins, its benefits in liver cirrhosis might be dampened. Besides, existed studies concerning statins treatments in preventing liver cirrhosis have attained contradictory results somehow [2137]. Consequently, a systematic study to synthesize data from different studies to test the efficacy and safety of statin in liver cirrhosis treatment is highly needed. To date, similar study is hardly seen before, so that we aim to comprehensively evaluate the statin on liver cirrhosis and its development.

Methods

Search strategy

This study design was stringently conformed to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [38]. Five databases, namely Pubmed, MEDLINE on Ovid, EBSCO, Web of Science, and the Cochrane Library, were searched as mentioned before with key words such as statin, liver cirrhosis, hepatic portal hypertension, decompensated cirrhosis, and complication to retrieve related literature published before June 2019.

Study selection criteria and data extraction

Two investigators who were not informed with the protocol of the present study checked the quality and eligibility of all retrieved studies and collected the data independently. The finally included literature met criteria as follows: English language; comparison between statin treatment group and non-statin treatment group; with full-text instead of abstract only; clear definition of decompensation events of liver cirrhosis and statin related complications, e.g. variceal haemorrhage, ascites, hepatic encephalopathy, diarrhea, and myalgia, etc. Exclusion criteria included: animal studies (basic research); case-reports, case-series, and reviews articles; acute hemodynamic study. In cases of different publications from the same study, the one with the most complete data was chosen. Interested data such as the number of total patients and the number of patients with clearly defined events were carefully collected. Besides, basic demographic data and follow-up duration were collected as well [3942].

Data synthesis and statistical analysis

If non-heterogeneity was detected, fixed-effects models were introduced to integrate data to compare statin treatment or not in the difference of short term follow-up and long term follow-up. Other than, the random-effects models were adopted. Heterogeneity was detected by I squire (I2) test. Heterogeneity was defined as I2 < 50%, and the value of I2 was shown in the forest plot. Results were presented as pooled hazard ratio (HR) or pooled odds ratio (OR). All results of analysis were illustrated as forest plots to make them visualizable. Additionally, publication bias was assessed using the Begg’s adjusted rank correlation test and shown as funnel plot [3944], and Additional file 1: Figure S1 showed the typical diagram of publication bias analysis. The Newcastle-Ottawa Scale was used to evaluate the quality of each study independently, and quality assessment results were presented in Table 1.
Table 1
Quality assement of eligible literatures
Quality Assesment
RCT study
Author
Prospective design
Clear definition of study population
(1)
(2)
(3)
(4)
(5)
Abraldes, et al. 2009 [21]
Yes
Yes
Yes
Stable
Yes
Yes
Yes
Pollo-Flores, et al. 2015 [32]
Yes
Yes
Yes
Stable
Yes
Yes
Yes
Abraldes, et al. 2016 [22]
Yes
Yes
Yes
Stable
Yes
Yes
Yes
Bishnu, et al. 2018 [24]
Yes
Yes
Yes
Stable
Yes
Yes
Yes
Elwan, et al. 2018 [26]
Yes
Yes
Yes
Stable
Yes
Yes
Yes
Domenico, et al
Yes
Yes
Yes
Stable
Yes
Yes
Yes
non-RCT study
Author
Study design
Clear definition of study population
Clear definition of different type of statin
Clear definition of related endpoints
Blindness to a statin or placebo
Representativeness
of the study population
Comparability between case and control groups
Kumar, et al. 2014 [30]
Propensity Score Matching Case-control Study
Yes
Yes
Yes
No
Yes
Yes
Simon, et al. 2015 [34]
Cohort study
Yes
No
Yes
Not given
Yes
Yes
Yang, et al. 2015 [37]
Propensity Score Matching Case-control Study
Yes
No
Yes
No
Yes
Yes
Huang, et al. 2017 [27]
Propensity Score Matching Case-control Study
Yes
No
Yes
No
Yes
Yes
Mohanty, et al. 2016 [31]
Propensity Score Matching Case-control Study
Yes
Yes
Yes
Not given
Yes
Yes
Simon, et al. 2016 [33]
Case-control Study
Yes
Yes
Yes
No
Yes
Yes
Bang, et al. 2017 [23]
Case-control Study
Yes
No
Yes
No
Yes
Yes
 
Chang, et al. 2017 [25]
Propensity Score Matching Case-control Study
Yes
No
Yes
Not given
Yes
Yes
 
Kim, et al. 2017 [13]
Nested Case-control Study
Yes
Yes
Yes
No
Yes
Yes
 
Wong, et al. 2017 [36]
Propensity Score Matching Case-control Study
Yes
Yes
Yes
No
Yes
Yes
 
Wani, et al. 2017 [35]
Self-control Study (Prospective Cohort)
Yes
Yes
Yes
No
Yes
Yes
 
Kaplan, et al. 2019 [28]
Propensity Score Matching Case-control Study
Yes
No
Yes
Not given
Yes
Yes
(1) whether the study design was suitable for the disease condition and statin treatment; (2) were statin treatment stable or fluctuating; (3) was different cohort comparable to each other; (4) was there any clear definition of end event; (5) was plan of follow-up clearly given

Statistics

Statistical heterogeneity was measured using the Inverse Variance (I-V) statistics. Statistical analyses were performed using Stata software 12.0 (Stata Corp, College Station, Texas). Standard mean difference (SMD) was calculated in continuous variables, and pooled HR value or pooled OR value was calculated in catergorical variables. All p values were 2-tailed, and the statistical significance was set at 0.05 (95% confidence interval).

Results

Demography of included studies at baseline

Literature search, data extraction, and general description of included studies were carried out by two independent researchers. Total of 1776 articles was searched after excluding 176 duplications. Six hundred sixteen articles were excluded afterwards for not meeting the inclusion/exclusion criteria. Based on the aim of the present study, 17 clinical studies were finally included [2137]. The flow diagram of publication filtration was shown in Fig. 1. Demographic data of patients with short term follow-up and long term follow-up were pooled together, respectively. The characteristics of included studies were generally described in Tables 2 and 3.
Table 2
Demography of patients in included studies
Author
Year
Age (year)
Male (%)
Number
Aetiology of liver disease
Alcoholic
HBV
HCV
NAFLD
Others
Control
Statin
Control
Statin
Control
Statin
Control
Statin
Control
Statin
Control
Statin
Control
Statin
Control
Statin
Abraldes, et al
2009
56 ± 10
58 ± 10
21
17
27
28
12
11
2
0
13
4
0
3
Kumar, et al
2014
59.6 ± 10.6
59.8 ± 10.9
88 (54.32)
44 (54.3)
162
81
39 (24.1)
18 (22.2)
10 (6.2)
2 (2.5)
55 (34)
18 (22.2)
41 (25.3)
35 (43.2)
6 (3.7)
3 (3.7)
Pollo-Flores, et al
2015
58.5 ± 13.5
56.5 ± 8.7
50%
57%
20
14
4
3
5
4
7
9
none
none
1
1
Simon, et al
2015
50.1 ± 7.2
54.2 ± 7.2
71.2
58.6
514
29
none
none
none
none
all
all
none
none
none
none
Yang, et al
2015
NG
NG
23,602 (42)
11,801 (42)
56,142
28,071
none
none
none
none
all
all
none
none
none
none
Mohanty, et al
2016
54 (50–58)
56 (52–60)
671 (97.9)
677 (98.8)
685
685
none
none
none
none
all
all
none
none
none
None
Huang, et al
2016
49.7 ± 11.5
50 ± 11.1
3479 (53.2)
3454 (52.8)
6543
6543
none
none
all
all
none
none
none
none
none
None
Simon, et al
2016
52.5 ± 6.9
53.5 ± 5.9
95.37
96.16
4970
4165
none
none
none
none
all
all
none
none
none
none
Abraldes, et al
2016
57.6 ± 10.6
57.4 ± 11.3
53 (67.9)
45 (65.2)
78
69
55 (71.4)
49 (71)
2 (2.6)
1 (1.4)
17 (22.1)
19 (27.5)
4 (5.2)
1 (1.4)
11
6
Wani, et al
2017
58.5 ± 6
58.5 ± 6
21
21
38
38
12
12
15
15
15
15
11
11
none
none
Wong, et al
2017
59.9 ± 13.9
60 ± 13.1
21,835 (58.8)
1266 (61.7)
67,131
2053
none
none
61,692 (89.7)
1867 (90.9)
4925 (8.9)
158 (7.7)
none
none
514 (0.8)
28 (1.4)
Bang, et al
2017
54 ± 10
57 ± 9
60%
61%
496
248
all
all
none
none
none
none
none
none
none
None
Chang, et al
2017
57.5 ± 14.1
56.5 ± 11.2
476 (71)
492 (73)
675
675
231 (34)
216 (32)
292 (43)
313 (46)
152 (23)
146 (22)
none
none
none
none
Kim, et al
2017
61.8 ± 9.2
61.8 ± 9.2
6860 (83.6)
1372 (83.6)
8210
1642
not given
Bishnu, et al
2018
46.7 (7.1)
44 ± 12.7
12 (100)
9 (81.2)
12
11
6 (50)
4 (36.4)
1 (8.3)
0
0
0
1 (8.33)
0
1 (8.33)
1 (9.09)
Kaplan, et al
2019
63 (58–68)
63 (58–67)
98%
98
12,860
6481
4876 (35.2)
2334 (36)
none
none
2065 (14.9)
933 (14.4)
2159 (15.6)
1042 (16.1)
none
none
Elwan, et al.
2019
50.8 ± 7
51.5 ± 6.7
16 (80)
10 (50)
20
20
none
none
HCV 38, HBV 1, HCV + HBV 1
none
none
none
SD Standard deviation, IQR Interquartile range, HBV Hepatitis B virus, HCV Hepatitis C virus, NAFLD Non-alcoholic fatty liver disease
Table 3
Characteristics of included studies
Author
Year
Number of patients
Study design
Statin
Follow-up duration
Abraldes, et al
2009
55
Randomized controlled trial
simvastatin
1 month
Kumar, et al
2014
243
Propensity Score Matching Case-control Study
atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin and simvastatin
13 years
Simon, et al
2015
543
Cohort study
non-selected
3.5 years
Yang, et al
2015
84,213
Propensity Score Matching Case-control Study
Non-selected
4 years
Pollo-Flores, et al
2015
34
Randomized controlled trial
simvastatin
3 months
Huang, et al
2016
13,086
Propensity Score Matching Case-control Study
non-selected
12 years
Mohanty, et al
2016
1370
Propensity Score Matching Case-control Study
atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin and simvastatin
14 years
Simon, et al
2016
9135
Case-control Study
atorvastatin and fluvastatin
14 years
Abraldes, et al
2016
147
Randomized controlled trial
simvastatin
2 years
Bang, et al
2017
744
Case-control Study
non-selected
8 years
Chang, et al
2017
1350
Propensity Score Matching Case-control Study
non-selected
8.5 years
Kim, et al
2017
9852
Nested Case-control Study
atorvastatin, lovastatin, pravastatin, rosuvastatin and simvastatin
12 years
Wong, et al
2017
69,184
Propensity Score Matching Case-control Study
atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin and simvastatin
3 years
Wani, et al
2017
76
Self-control Study (Prospective Cohort)
simvastatin
3 months
Bishnu, et al
2018
23
Randomized controlled trial
atorvastatin
1 month
Kaplan, et al
2019
19,341
Propensity Score Matching Case-control Study
non-selected
5.5 years
Elwan, et al
2019
40
Randomized controlled trial
simvastatin
1 month

Statin influenced parameters of hepatic portal vessel pressure in short-term treatment

Five studies [21, 24, 26, 32, 35] reported parameters of hepatic portal vessel pressure with follow-up duration less than 3 months. In these studies, three important hepatic portal hemodynamic indexes, hepatic venous pressure gradient (HVPG), free hepatic vein pressure (FHVP), and wedged hepatic venous pressures (WHVP) which could reflect the degree of portal hypertension, were included. Since these parameters were continuous variables, pooled SMD was calculated. Statin treatment could significantly decrease the value HVPG comparing with control group (SMDHVPG = − 1.146, 95% confidence interval (CI): − 1.3120-0.981, I2 > 50%). However, compared to patients without statin treating, patients receiving statin intervention was proved to fail to lower value of FHVP and WHVP (SMDFHVP = 0.3, 95% CI: 0.13–0.47, I2 > 50% and SMDWHVP = 0.2, 95% CI: 0.03–0.37, I2 < 50%), respectively. Consequently, HVPG was verified under condition of statin taking (Fig. 2a). Unfortunately, FHVP and WHVP may not be sensitive enough to detect the difference. It meant that even though a short-term exposure to statin, the portal hypertension could be alleviated (Fig. 2b & c).

Prognosis of liver cirrhosis benefited from statin treatment in long term follow-up

Influence of statin in survival rate, decompensation events of liver cirrhosis, and HCC were investigated for long term follow-up as long as 14 years, and related data was extracted and analyzed to interpret the effect of statin. Statin treatment surprisingly improved survival rate in liver cirrhosis (HR = 0.782, 95% CI: 0.718–0.846, I2 > 50%), and the decreased risk of mortality as a hard clinical end-point persuasively verified the beneficial effects of statin (Fig. 3a). Decompensation of liver cirrhosis included variceal haemorrhage, hepatic encephalopathy, ascites, and even spontaneous bacterial peritonitis. Studies which had reported the incidence of the total decompensated cirrhosis events were analyzed, and the pooled data suggested statin treatment could decrease the occurrence of decompensated cirrhosis events (pooled HR = 0.658, 95% CI: 0.483–0.833, I2 < 50%) after long-term follow up. Although decompensation events of liver cirrhosis were decreased (Fig. 3b), subgroup analysis of each specific decompensated cirrhosis event was applied (Fig. 3c-f). Statin seemed not to decrease the risk of esophageal variceal bleeding (Fig. 3c) and spontaneous bacterial peritonitis (SBP) (Fig. 3d). However, statin was proved to decrease the risk of hepatic encephalopathy (Fig. 3f) and ascites (Fig. 3f). As one of the most serious complication, HCC could sharply increase the risk of mortality [45, 46]. Accordingly, effect of statin on lowering the occurrence of HCC (HR = 0.75, 95% CI: 0.64–0.86) should really alleviate the disease burden of liver cirrhosis (Fig. 3g, I2 > 50%). Logically, statin could decrease the case need for liver transplantation (Fig. 3h, I2 < 50%).

Incidence of adverse events didn’t increase in statin users

As is known to us that statin could lead to muscle injury and liver dysfunction, which might further result in myalgia and worsening of ascites. Therefore, the incidence of statin related adverse events was analysed here (Fig. 4). Based on existed studies, statin usage didn’t increase the number of cases of worsened ascites (pooled OR = 0.959, 95% CI: 0.169–1.749, I2 < 50%), in comparison with control group. Myalgia events were evenly distributed between different groups (pooled OR = 1.459, 95% CI: − 5.614 - 8.532, I2 < 50%), and the frequency of myalgia was comparable no matter stain was treated or not (Fig. 4b). Besides, statin was reported to correlate with gastro-intestinal problem, such as diarrhea. However, pooled data indicated that the number of diarrhea patients with statin treatment was not different from that in patients without statin treatment (pooled OR = 1.813, 95% CI: − 7.156 - 10.782, I2 < 50%). Therefore, statin might not increase risk of diarrhea in liver cirrhosis patients (Fig. 4c).

Subgroup analysis by the study design of RCT versus non-RCT

Considering the concerns about any difference of statin effects between RCT study versus. Non-RCT study, therefore, subgroup analysis by the study design (whether RCT or not) was performed when the number of included literatures was enough for this purpose. End-point events involved in this part contained mortality, decompensation events, SBP, ascites, esophageal variceal bleeding. And it indicated the results of pooled data from RCT study was not consistent with results from non-RCT study, except for decompensation events and esophageal variceal bleeding (Additional file 2: Figure S2). Compared to RCT study, non-RCT study possessed with much more objects. And well-designed non-RCT study such as Propensity Score Matching Case-control Study.
Cohort study with much more amount of patients could also offer favorable evidence for clinical practice.

Dose-dependent effects of statin on HCC development, decompensated cirrhosis events occurrence, and liver cirrhosis progression

In each included studies, statin was divided into 3 doses: low dose, medium dose, and high dose. Effects of different dose of statin on liver cirrhosis were analyzed (Fig. 5). All 3 doses of statin could decrease of HCC (Fig. 5a) incidence (low dose: HR = 0.459, 95% CI: 0.195–0.724, I2 > 50%; medium dose: HR = 0.422, 95% CI: 0.235–0.609, I2 < 50%; high dose: HR = 0.494, 95% CI: 0.329–0.66, I2 < 50%). Low dose of statin didn’t influence decompensation of liver cirrhosis (HR = 0.726, 95% CI: 0.406–1.047, I2 < 50%). However, both medium dose and high dose of statin could decrease incidence of decompensation events of liver cirrhosis (medium dose: HR = 0.554, 95% CI: 0.311–0.798, I2 < 50%; high dose: HR = 0.31, 95% CI: 0.098–0.522, I2 > 50%). Liver puncture biopsy to evaluate liver cirrhosis pathological progression indicated that all doses of statin could mitigate liver fibrosis and sclerosis (low dose: HR = 0.345, 95% CI: 0.32–0.37, I2 > 50%; medium dose: HR = 0.254, 95% CI: 0.235–0.274, I2 > 50%; high dose: HR = 0.149, 95% CI: 0.135–0.164, I2 < 50%). It seemed that higher dose of statin tended to have better effect on relieving pathological progression of liver cirrhosis (Fig. 5c).

Publication bias analysis

The representative publication bias analysis by Begg’s test showed a symmetrical distribution of included publications (p = 0.427) in a funnel plot (Additional file 1: Figure S1), and this indicated that there didn’t exist publication bias among articles included in present study.

Discussion

In the present meta-analysis, 17 studies were finally included for data pooling and synthesis. Statin was proved to be effectively lowering the risk of the occurrence of decompensated liver cirrhosis such as variceal haemorrhage, encephalopathy, and spontaneous bacterial peritonitis, which was treated as life-threatening event in chronic liver cirrhosis in a long-term follow-up. Besides, statin could decrease the incidence of HCC which was a serious complication of liver cirrhosis. In addition, the dose-dependent effect of statin in liver cirrhosis was testified base on pooled data, and it indicated that statin had potential in treating chronic liver disease. Even in short-term therapeutic of statin, the hemodynamics of portal vessel was significantly improved. Since it drew concerning about the statin application in chronic liver cirrhosis might accentuate liver dysfunction, we compared the drugs related adverse events between statin treated group and non-statin treated group. Diarrhea, myalgia, and ascites accentuation showed no difference no matter statin was used or not. This study was characterized with the largest sample size to comprehensively evaluate the efficacy and safety of statin on liver cirrhosis and its development. In spite of results mentioned above, for fear of any difference of statin effects between RCT study versus. Non-RCT study, subgroup analysis by the study design (whether RCT or not) was performed. It indicated the results of pooled data from RCT study was not consistent with results from non-RCT study, except for decompensation events and esophageal variceal bleeding. To our knowledge, similar systematic study was hardly seen before.
As one of the mostly prescribed medication, statin is widely used in the primary prevention of coronary ischemic heart disease by outstandingly inhibiting the activity of HMG-CoA. However, laboratory studies showed that statin could further attain endothelial functional improvement independently from down-of cholesterol level [20, 47]. Previous investigation indicated that statin could improve the resilience and compliance of portal vessels by promoting the production of vascular endothelium-derived relaxing factor, namely, nitric oxide [4852]. Furthermore, clinical studies hinted that statin could mitigate hepatic portal hypertension as well with a short therapeutic duration (mean value of follow-up period: 3 months) [21, 24, 26, 32, 35]. Moreover, statin was proved to function as a kind of free radical eliminated agent which could relieve oxidative stress reaction in liver cirrhosis progression [53, 54]. Inflammatory reaction could be suppressed by statin through inhibiting and eliminating the over-produced free radical or other pernicious by-product in liver cirrhosis [55, 56], and hence hepatic cell injury and fibrosis could be partly prevented from underlying this mechanism. Given myalgia (muscular damage and creatine kinase elevation) as one of the most common drug-related adverse reactions clinical studies were designed to assess its incidence in statin treated liver cirrhosis, and most of which confirmed the safety of statin use [26, 32]. Portal hypertension as a marker of decompensated liver cirrhosis could further exacerbate liver cirrhosis to form a vicious cycle [5759], and statin could break this circle by lowering hepatic portal vascular pressure to improve the prognosis of liver cirrhosis. HCC could be evolved from sustained condition of liver cirrhosis [60], and statin might decrease the occurrence rate of HCC through slowing the development of disease course of liver cirrhosis. Studies ranging from bench to bed indicated that chronic liver cirrhosis might be a novel indication for statin treatment, and pooled data of clinical studies finally supported this viewpoint. In cardiovascular disorders, especially coronary atherosclerosis disease (CAD), statin treatment showed eminent dose-dependent effects on the prognosis of CAD [61, 62]. Similarly, statin also exhibited dose-dependent effects on HCC development, decompensated cirrhosis events occurrence, and liver cirrhosis progression. Despite low dose of statin didn’t affect decompensated liver cirrhosis, both medium and high dose of statin could improve decompensated liver cirrhosis. Furthermore, higher dose of statin tended to have better effect on relieving pathological progression of liver cirrhosis.
A systematic review has already been done to quantitatively summarize effects of statin and accentuate the important role of statin in treating chronic liver disease. Based on this study, statin use is probably associated with lower risk of hepatic decompensation and mortality, and might reduce portal hypertension, in patients with chronic liver diseases [13]. Nonetheless, this study failed to evaluate the safety of statin, and the number of studies it included was less than ours. To our knowledge, similar systematic study with multi-dimension and statistical depth was hardly seen before. The quality of the present meta-analysis was guaranteed by thorough retrieval strategy, well-defined inclusion and exclusion criteria, guideline mediated literature evaluation, and strictly quantitative analysis by well-acknowledged STATA software.

Limitation

This study included 17 studies, parts of which were of characterized with observational and case-control design. The included articles had defects such as no randomization, retrospective design, and small scale, and these flaws could somehow devaluate the quality of our study. However, studies with high quality were involved with high weighting ratio, which meant that study with higher quality contributed more on the present meta-analysis. The included studies investigated liver disease with different aetiology, such as alcoholic liver disease, NAFLD, HBV, HCV, and so on. As a result, the heterogeneity of liver cirrhosis aetiology at baseline might lead to bias of treatment response to statin. In addition, the present regarded different kinds of statin, such as simvastatin, artovastatin, fluvastatin, and so on, as a whole, however, the head-to-head comparison of effects of different kinds of statin on liver cirrhosis should be discussed in future. Perhaps, a network meta-analysis could solve this problem. Furthermore, the limited number of articles eligible for different research target made sensitivity analysis not applicable. Additionally, patients with β-blocker administration or comorbidities of chronic kidney disease were also susceptible to exacerbated hepatic function, and these confounding factors were not presented in the included studies. Therefore, risk-stratified analysis couldn’t be carried out. Consequently, large scale, prospective, multi-center, and randomized clinical trials are still highly needed with clearly reported confounding factors.

Conclusion

In the present study, statin was proved to be effectively lowering the risk of the occurrence of decompensated liver cirrhosis such as encephalopathy and ascites, which was treated as life-threatening event in chronic liver cirrhosis in a long-term follow-up. Unfortunately, statin might have no effect on variceal haemorrhage and spontaneous bacterial peritonitis. Besides, statin could decrease the incidence of HCC which was a serious complication of liver cirrhosis. In addition, the dose-dependent effect of statin in liver cirrhosis was testified base on pooled data, and it indicated that higher dose of statin tended to have better effect on relieving pathological progression of liver cirrhosis. Even in short-term therapeutic of statin, the hemodynamics of portal vessel was significantly improved. Drugs related adverse events between statin treated group and non-statin treated group show no difference. This study was characterized with the largest sample size to comprehensively evaluate the efficacy and safety of statin on liver cirrhosis and its development.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12876-019-1147-1.

Acknowledgements

None.
This is a meta-analysis. So the ethics approval is not applicable.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

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Metadaten
Titel
Comprehensive evaluation of effects and safety of statin on the progression of liver cirrhosis: a systematic review and meta-analysis
verfasst von
Yue Gu
Xueqin Yang
Hang Liang
Deli Li
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Gastroenterology / Ausgabe 1/2019
Elektronische ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-019-1147-1

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