Abstract
Statins exhibit pleiotropic anti-inflammatory and antifibrotic properties that may attenuate the progression of cirrhosis. This study aimed to evaluate the efficacy and safety of atorvastatin in preventing recurrent decompensation events (DDs) and in modulating the gut–liver axis among patients with decompensated cirrhosis. In this randomized, double -blind, placebo-controlled trial, 100 adults with decompensated cirrhosis were randomly assigned in a 1:1 ratio to receive either atorvastatin (20 mg/day) or placebo for six months. The primary endpoint was the incidence of recurrent decompensation events (DDs). Secondary outcomes included changes in biomarkers of oxidative stress (malondialdehyde [MDA]), systemic inflammation (nuclear factor kappa B [NF-κB], C-reactive protein [CRP], and erythrocyte sedimentation rate [ESR]), intestinal permeability (zonulin), and endotoxemia (lipopolysaccharide [LPS]). Atorvastatin treatment significantly reduced the cumulative recurrence of cirrhosis-related complications compared to placebo (36% vs. 72%; HR 0.50; 95% CI, 0.33–0.75; P < 0.001). Notably, atorvastatin conferred complete protection against hepatorenal syndrome (HRS) (0% vs. 20% in the placebo group; all Type 2). These clinical improvements were mirrored by significant reductions in MDA, NF-κB, LPS, and zonulin levels (P < 0.05), indicating a robust attenuation of systemic inflammation and restoration of intestinal barrier integrity. Atorvastatin was well-tolerated; while mild myalgia was more frequent in the intervention group (14% vs. 2%), elevations in transaminases were transient and clinically insignificant. In this randomized trial, atorvastatin was associated with a lower recurrence of decompensation events and a reduced incidence of hepatorenal syndrome compared with placebo. These effects were accompanied by improvements in biomarkers related to systemic inflammation and gut–liver axis dysfunction. Atorvastatin was generally well tolerated, although mild myalgia occurred more frequently and warrants clinical monitoring. While these findings suggest a potential role for atorvastatin as an adjunctive therapy in decompensated cirrhosis, confirmation in larger, multicenter studies is required before broader clinical application. Clinical trial number: NCT05563389 (https://register.clinicaltrials.gov/prs/beta/studies/S000CHKM00000052/recordSummary).
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-026-41326-4.
Keywords: Atorvastatin, Liver Cirrhosis, Hepatorenal Syndrome, Oxidative Stress, Bacterial Translocation
Subject terms: Diseases, Gastroenterology, Medical research
Introduction
Liver cirrhosis is a progressive and irreversible condition characterized by hepatocellular necrosis and fibrogenesis1. The resulting impairment of hepatic function, coupled with portal hypertension (PH), predisposes affected individuals to a spectrum of complications, including ascites, spontaneous bacterial peritonitis (SBP), hepatic encephalopathy (HE), jaundice, variceal bleeding (VB), and hepatorenal syndrome (HRS), ultimately leading to clinical decompensation2..
Statins exhibit a wide range of pleiotropic effects extending beyond lipid lowering, including improvement of endothelial dysfunction and demonstrable antioxidant, antifibrotic, anti-inflammatory, antiproliferative, antiangiogenic, proapoptotic, and immunomodulatory properties3. Preclinical investigations and selected clinical studies have shown that statins can reduce the hepatic venous pressure gradient (HVPG), enhance hepatic perfusion, and lower the risk of variceal haemorrhage in patients with cirrhosis4,5..
Despite advances in medical care, current therapeutic options for decompensated cirrhosis remain limited, and the occurrence or progression of complications continues to carry a substantial mortality risk6. Accordingly, the identification of novel therapeutic interventions targeting the pathophysiological mechanisms of hepatic decompensation is urgently needed. Based on this rationale, we conducted a randomized, placebo-controlled clinical trial to assess the efficacy of six months of atorvastatin therapy in preventing the progression of cirrhosis-related complications.
Patients and methods
Study design and registration
This randomized, double -blind, placebo-controlled trial was conducted at the Tropical Medicine & Infectious Diseases Department, Tanta University Hospital, Egypt, between June 2022 and February 2023. The study was registered at ClinicalTrials.gov (Identifier: NCT05563389) on June 29, 2022. Ethical approval was obtained from the Research Ethics Committee (Institutional Review Board) of Tanta University (Approval No. 13/6/2022; Protocol Version 1.0, dated June 13, 2022).
All study procedures adhered to the principles of the 1975 Declaration of Helsinki and conformed to CONSORT and ICH Good Clinical Practice guidelines. Written informed consent was obtained from each participant before enrolment, and confidentiality and voluntary participation were ensured throughout the study period.
Study patients: Inclusion and exclusion criteria
Eligible participants were adults aged 18–75 years of either sex diagnosed with decompensated liver cirrhosis based on standard clinical, laboratory, and imaging criteria. Patients were screened during hospitalization for a decompensation episode. Randomization was performed only after clinical stabilization and resolution of the acute episode, and the study intervention was initiated as secondary prophylaxis to prevent recurrence.
Decompensation was defined as a previous episode of any major cirrhosis-related complication, including ascites, SBP, VB, jaundice, HRS, or HE.
Exclusion criteria included chronic kidney disease G5 as defined according to the KDIGO classification7, known statin intolerance or allergy, severe extrahepatic comorbidities such as heart failure NYHA functional class IV and/or ACC/AHA stage D8, end-stage respiratory disease GOLD 4, and mMRC grade 3–49, liver transplantation, pregnancy, or lactation were also excluded. Severe extrahepatic comorbidities were excluded to minimize confounding and ensure that clinical outcomes would primarily reflect the effect of the study intervention in decompensated cirrhosis.
Although the original study protocol published on ClinicalTrials.gov (Identifier: NCT05563389) specified narrower eligibility criteria, the exclusion criteria were broadened during patient recruitment to enhance feasibility and improve generalizability. These modifications were approved by the ethics committee before implementation. These changes did not affect the primary endpoint or study design.
Randomization and protocol procedures
Following screening, eligible participants were randomized in a 1:1 ratio to receive either atorvastatin or placebo using a computer-generated randomization sequence prepared by an independent pharmacist, following CONSORT and ICH Good Clinical Practice guidelines recommendations. Patients in the intervention arm received atorvastatin 20 mg once daily for six months, a dose supported by prior clinical evidence10,11. All participants continued their baseline standard-of-care therapies, including diuretics, non-selective beta-blockers, rifaximin, and lactulose, without any dose modification during the study. Allocation concealment was ensured using identical, sequentially numbered medication containers. Investigators, participants, outcome assessors, and data analysts remained blinded to treatment allocation. Adherence was monitored at each follow-up visit through pill counts and structured participant interviews.
Management of decompensation during the study
Episodes of decompensation events (DDs) were managed according to established international guidelines without altering chronic background therapy. Tense ascites was treated with large-volume paracentesis; HE episodes were managed by temporary adjustment of lactulose and rifaximin doses; and VB was treated using standard endoscopic and pharmacologic measures. This uniform management ensured that observed differences in the recurrence of decompensation events could be attributed to the study intervention rather than to variations in supportive care. Antiviral therapy for chronic hepatitis B virus infection was continued, while hepatitis C virus infection had been fully eradicated in all affected participants. Albumin administration was permitted without restriction.
Treatment discontinuation and safety monitoring
Treatment discontinuation criteria were prospectively defined and included severe adverse events, clinically significant elevations in liver enzymes (≥ 3× the upper limit of normal), or withdrawal of informed consent. Participant adherence was supported through scheduled monthly clinic visits and biweekly telephone follow-up. All adverse events were continuously monitored, systematically recorded, and independently evaluated by an appointed safety monitor for the duration of the study.
Blinding (masking)
A strict double -blind design was implemented to minimize performance and detection bias. Participants, treating physicians, research staff, care providers, and outcome assessors remained fully blinded to treatment allocation throughout the study. Atorvastatin and placebo were manufactured in identical-looking pre-filled capsules, matched in color, size, and weight, and dispensed in opaque, tamper-proof containers. This ensured that neither participants nor staff could distinguish between treatment arms based on appearance, packaging, or handling characteristics.
An independent pharmacist, who was not involved in patient assessment or follow-up, generated and maintained the allocation sequence. Each participant was assigned a unique randomization code stored in a secure file accessible only to the pharmacist. This individualized coding system prevented complete unblinding of the cohort if a single participant’s treatment identity needed to be revealed for safety reasons.
Medication logs were kept for each participant, documenting dispensing dates, returned capsules, and adherence checks. Any discrepancies were reconciled by an independent monitor.
Data management followed a multi-layered quality assurance process. Electronic case report forms (eCRFs) were password-protected and stored on encrypted devices. A double-entry system was employed, in which two independent data clerks entered all study data separately, and discrepancies were automatically flagged and resolved by the data management team. Range limits, internal consistency checks, and real-time error alerts were incorporated to ensure accuracy and completeness of entered data.
Data cleaning procedures included cross-checking CRFs with source documents, verifying laboratory values against standard reference ranges, and validating dates, visiting windows, and outcome definitions. Only after all discrepancies were resolved and the database was formally locked did the study team proceed to unblinding and statistical analysis.
Unblinding was permitted exclusively when clinically indispensable, for example, in the setting of a serious adverse event, life-threatening condition, or when treatment knowledge was essential to guide emergency medical decisions. Requests for unblinding were reviewed by the principal investigator and safety monitor and documented in detail.
Participant confidentiality was rigorously protected. Each participant was assigned an anonymized study ID number used for all analytical purposes. Identifiable documents, including consent forms, screening logs, and contact information, were stored separately in locked cabinets accessible only to authorized members of the study team. Electronic files were encrypted and backed up regularly on secure institutional servers.
Efficacy estimation
Clinical assessment and study endpoints
A comprehensive clinical evaluation was conducted for all participants at baseline (screening visit) and upon completion of the 6-month intervention phase. This assessment included detailed medical history, full physical examination, review of DDs, and venous blood sampling for laboratory investigations. All clinical evaluations were performed by hepatology specialists using standardized protocols to ensure consistency across visits.
Primary endpoint
The primary endpoint was the recurrence of DDs. Events were adjudicated by a blinded clinical assessment committee to ensure objective classification.
Secondary endpoints: Mechanistic biomarkers
The secondary endpoints focused on serum biomarkers representing key pathophysiological pathways relevant to cirrhosis progression. Malondialdehyde (MDA) is a sensitive marker of lipid peroxidation and oxidative stress. Nuclear factor κB (NF-κB): a molecular indicator of systemic inflammatory activation. Zonulin: a regulator of tight intestinal junctions, used as a surrogate marker of intestinal permeability and indirectly reflective of portal hypertension. Lipopolysaccharide (LPS): a validated indicator of bacterial translocation from the gut lumen into systemic circulation. All biomarkers were measured using standardized ELISA-based assays according to manufacturer instructions, with intra- and inter-assay coefficients of variation maintained below 10%.
Exploratory and supportive endpoints
Additional exploratory endpoints were included to evaluate hepatic, renal, hematologic, electrolyte, and inflammatory status: Liver function tests: ALT, AST, total bilirubin, serum albumin, and international normalized ratio (INR). Renal function parameters: serum creatinine (Sr. Cr) and blood urea nitrogen (BUN). Complete blood count (CBC): hemoglobin, RBC count, WBC count, polymorphonuclear cell (PMN) percentage, and platelet count. Serum electrolytes: sodium (Na⁺), potassium (K⁺), and calcium (Ca²⁺). Inflammatory markers: C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR).
Sample collection
Blood samples were collected from all participants at baseline and at six months post-treatment. A total of 10 mL of venous blood was drawn from the antecubital vein in the morning between 8:00 and 10:00 a.m. under standardized conditions. Standard laboratory techniques were used to assess hematologic parameters, liver and renal function, and inflammatory markers. Serum malondialdehyde (MDA) levels were measured colorimetrically using a commercial assay kit (Beijing Solarbio Science & Technology, China; Catalog No. BC0020). Serum zonulin, nuclear factor κB (NF-κB), and lipopolysaccharide (LPS) levels were quantified using enzyme-linked immunosorbent assay (ELISA) kits according to the manufacturers’ instructions (Develop, Japan; Catalog Nos. DLR-Hpt-Hu, DLR-NF-κB-Hu, and DLR-LPS-Ge, respectively).
Diagnosis and assessment of breakthroughs of decompensation events
Diagnostic criteria and definition of exacerbations
The diagnosis of DDs and the grading of their severity were based on established international guidelines2. Ascites was diagnosed by clinical examination and confirmed by abdominal ultrasonography12. Hepatic encephalopathy was identified primarily based on characteristic neuropsychiatric manifestations, including disturbances in attention, personality changes, apathy, delirium, and disorientation, after excluding alternative causes of encephalopathy. A focused neurological examination assessing asterixis, constructional apraxia, and bilateral extensor plantar responses supported the diagnosis13. Minimal HE was evaluated using the Psychometric Hepatic Encephalopathy Score (PHES), which assesses attention, visual perception, and psychomotor speed14. Spontaneous bacterial peritonitis was diagnosed via diagnostic paracentesis showing polymorphonuclear cell count ≥ 250 × 10⁶ cells/L, with or without positive culture15. Variceal bleeding was confirmed by clinical presentation and esophagogastroduodenoscopy (EGD)16. Hepatorenal syndrome diagnosis followed consensus criteria, distinguishing HRS-AKI (≥ 50% increase in serum creatinine within three months) from HRS-NAKI (< 50% increase within three months)17. Jaundice was diagnosed based on elevated total serum bilirubin levels18..
Criteria for exacerbation of decompensation events
Ascites exacerbation was defined as a ≥ 1-grade increase in ascitic volume or the need for escalation of diuretic therapy19. The exacerbation of HE was defined as a ≥ 1-grade worsening in the West Haven/Conn score from baseline, with or without changes in asterixis20. Spontaneous bacterial peritonitis exacerbation was determined by either a new positive ascitic fluid culture or an increase in PMN count to ≥ 250 cells/mm³21.Variceal bleeding exacerbation was based on new clinical bleeding episodes confirmed by EGD22. Jaundice exacerbation was defined as total bilirubin > 5 mg/dL18.
Adverse event monitoring
Adverse events (AEs) were actively monitored throughout the study period through patient self-reporting, structured clinical evaluations, and serial laboratory tests of liver and renal function. All AEs and serious adverse events (SAEs) were documented in accordance with Good Clinical Practice standards.
Statistical analysis
Sample size determination and statistical analysis
The primary endpoint for the sample-size calculation was the recurrence of decompensation events (DDs). Assuming a 30% event rate in the control group and aiming to detect an absolute risk reduction of 25% points, with a two-sided α = 0.05 and a power of 80% (1 − β = 0.80), the required sample size was estimated using the standard normal approximation for comparing two proportions. This calculation yielded a minimum of 44 participants per study arm (88 participants in total). To account for anticipated drop-out and loss to follow-up, the target enrolment was increased to 100 participants, ensuring adequate statistical power to detect the prespecified absolute difference between groups.
The formula applied was:
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n = total sample size required.
α = type I error rate (0.05).
df = k − 1 (degrees of freedom).
χ² (1 − α, df) = critical value from the chi-square distribution.
p̄ = mean of the proportions across groups.
Missing data for continuous variables were handled using the last observation carried forward (LOCF) method, whereas time-to-event outcomes were analysed using censoring at the last available follow-up. Efficacy analyses were conducted on the per-protocol population, which included all participants who completed the full treatment period and all scheduled follow-up assessments. Normality of continuous variables was assessed using the Shapiro–Wilk test. Continuous variables were summarized as mean ± standard deviation (SD), while categorical variables were presented as counts and percentages. Comparisons between groups were performed using the Chi-square test for categorical variables and Student’s t-test for normally distributed continuous variables. Time-to-event outcomes were evaluated using the Kaplan–Meier method to estimate the cumulative incidence of decompensation events throughout the study period, and follow-up time for each patient was considered from randomization until occurrence of an event or censoring at the end of the study, allowing inclusion of all available data and appropriately accounting for varying follow-up durations. Differences between treatment groups in the time to first complication were assessed using Cox proportional hazards models with two-sided significance testing. All statistical analyses were performed using SPSS version 22.0 (IBM, USA). A p-value < 0.05 was considered statistically significant.
Results
This study was conducted between June 2022 and February 2023. A total of 110 patients met the inclusion criteria and were enrolled in the study. Patients who did not meet the inclusion criteria or met exclusion criteria (n = 106) were excluded due to the absence of a prior decompensation event, incomplete clinical or laboratory data, refusal to participate, severe chronic extrahepatic comorbidities, age above the upper limit, history of liver transplantation, and lactation.
Following randomization of the 110 eligible participants into the two study arms, seven individuals were excluded due to non-adherence, and an additional three patients withdrew consent. Consequently, 100 participants completed the study and were included in the final per-protocol analysis. Figure 1.
Fig. 1.
Patients’ flowchart.
The baseline demographic and clinical characteristics of the study population were comparable between the atorvastatin and placebo groups. There were no statistically significant differences in sex distribution, age, or BMI between the two groups (P > 0.05). Approximately two-thirds of the participants were female, and the mean age was around 57 years. Regarding the underlying etiology of cirrhosis, viral hepatitis (HCV and HBV) represented the predominant cause in both groups, with no significant difference in distribution (P = 0.991). The mean disease duration was about 10 years, which was comparable between the atorvastatin and placebo arms (P = 0.954). Liver disease severity indices were also balanced across groups. Both the Child–Pugh score (P = 0.348) and MELD-Na (P = 0.921) showed no significant differences. Similarly, the distribution of Child–Pugh classes B and C did not differ significantly between the groups (P = 0.307). A comparable proportion of patients reported prior cirrhosis-related complications, including ascites, jaundice, spontaneous bacterial peritonitis, hepatic encephalopathy, variceal bleeding, and hepatorenal syndrome, with no statistically significant group differences (P > 0.05). Additionally, beta-blocker use was similar between groups (P = 0.841). Overall, these findings confirm that the two study groups were well matched at baseline, ensuring the internal validity of subsequent comparisons. Table 1.
Table 1.
Baseline characteristics of the patients, according to study group
| Characteristics | Placebo | Atorvastatin | p value |
|---|---|---|---|
| Sex | 17 (34%) | 18 (36%) | 0.835 |
| Male | 33 (66%) | 32 (64%) | |
| Female | |||
| Age–years | 57.14 ± 10.14 | 56.52 ± 9.31 | 0.748 |
| BMI (Kg/m2) | 28.75 ± 2.47 | 28.64 ± 2.83 | 0.823 |
| Primary etiology–no. (%) | 26 (52%) | 26 (52%) | 0.991 |
| HCV | 22 (44%) | 21 (42%) | |
| HBV | 1 (2%) | 1(2%) | |
| Schistosoma | 1(2%) | 1(2%) | |
| Combined etiology | 0 (0%) | 1(2%) | |
| Hemochromatosis | |||
| Course of disease (months) | 129.6 ± 104 | 128.+64 ± 60.48 | 0.954 |
| Child–Pugh score | 9.5 ± 2.7 | 10 ± 2.6 | 0.348 |
| Child-Pugh Class | 33 (66%) | 27 (54%) | 0.307 |
| B | 17 (34%) | 23 (46%) | |
| C | |||
| MELD-Na+ | 14.99 ± 6.8 | 15.12 ± 6.14 | 0.921 |
| Patients with a history of complications–no. (%) | 27 (54%) | 29 (58%) | 0.841 |
| Ascites | 4 (8%) | 6 (12%) | 0.739 |
| Grade I | 20 (40%) | 22 (44%) | 0.841 |
| Grade II | 3 (6%) | 1 (2%) | 0.617 |
| Grade III | 20 (40%) | 21 (42%) | 1 |
| Jaundice | 12 (24%) | 12 (24%) | 1 |
| SBP | 13 (26%) | 10 (20%) | 0.629 |
| HE | 12 (24%) | 15 (30%) | 0.655 |
| VB | 5 (10%) | 7 (14%) | 0.755 |
| HRS | |||
| Beta blockers users (%) | 21(42%) | 23 (46%) | 0.841 |
Numerical data expressed as mean ± standard deviation; nominal data expressed as number (percent) or ratio; BMI: body mass index; HCV: hepatitis C virus; HBV: hepatitis B virus; SBP: spontaneous bacterial peritonitis; HE: hepatic encephalopathy; VB: variceal bleeding; HRS: hepato-renal syndrome.
P values˂ 0.05 are considered clinically significant.
Primary outcome assessment
Recurrence of liver cirrhosis–related complications
Overall, patients in the atorvastatin group experienced a significantly lower rate of cirrhosis-related complications compared with the placebo group (36% vs. 72%, P < 0.001), representing a 50% relative risk reduction, with an absolute risk reduction of 36% and a number needed to treat of approximately 3.
When individual complications were analyzed, atorvastatin was associated with a significant reduction in the recurrence of hepatorenal syndrome (HRS) compared with placebo (0% vs. 20%, P = 0.033), corresponding to a complete (100%) relative risk reduction, an absolute risk reduction of 10%, and a number needed to treat approximately 5.
All HRS cases observed in the placebo group were Type 2.
There was a trend toward a reduction in the incidence of variceal bleeding in the atorvastatin group compared with placebo (0% vs. 12%, P = 0.078), corresponding to an absolute risk reduction of 12% and a number needed to treat of approximately 9.
No significant differences were observed between the groups for ascites, spontaneous bacterial peritonitis (SBP), HE, or jaundice. Table 2.
Table 2.
Comparison of the recurrence of liver cirrhosis-related complications between the two groups within the treatment period.
| Complication | Placebo (N = 50) |
Atorvastatin (N = 50) |
Hazard ratio (95%CI) | P value | ARR | NNT |
|---|---|---|---|---|---|---|
| All cirrhosis-related complications | 36 (72%) | 18 (36%) | 0.5 (0.33–0.75) | < 0.001 | 0.36 | 2.78 |
| Ascites | 12 (24%) | 10 (20%) | 0.83 (0.39–1.75) | 0.63 | 0.04 | 25 |
| SBP | 4 (8%) | 2 (4%) | 0.5 (0.096–2.61) | 0.41 | 0.04 | 25 |
| Jaundice | 5 (10%) | 5 (10%) | 1 (0.31–3.24) | 1 | --- | --- |
| HE | 11(22%) | 8 (16%) | 0.73 (0.32–1.65) | 0.45 | 0.06 | 16.67 |
| VB | 6 (12%) | 0 (0%) | 0.077 (0.0044–1.33.0044.33) | 0.078 | 0.12 | 8.5 |
| HRS | 10 (20%) | 0 (0%) | 0.047 (0.003–0.79) | 0.033 | 0.2 | 5.1 |
Data is expressed as number (percentage); SBP: Spontaneous bacterial peritonitis; HE: Hepatic encephalopathy; VB: Variceal bleeding; HRS: Hepatorenal syndrome; ARR.
:absolute risk reduction; NNT: number needed to treat.
Statistically significant (p < 0.05).
Secondary outcomes assessment
Hepatic decompensation-related biomarkers
The effects of atorvastatin on hepatic decompensation–related biomarkers over the 6-month follow-up are presented in Table 3. At baseline, levels of malondialdehyde (MDA), NF-κB, lipopolysaccharide (LPS), and zonulin were comparable between the placebo and atorvastatin groups, with not statistically significant between-group differences (all P1 > 0.05).
Table 3.
Hepatic decompensation-related biomarkers
| Parameter | Placebo (N=50) | Atorvastatin (N=50) | P1-value |
|---|---|---|---|
| MDA (mg/dl) | |||
| Baseline | 49.25±13.08 | 47.66±14.26 | 0.835 |
| After 6 months | 45.75±9.38 | 30.07±13.86 | <0.001* |
| P2 | 0.06 | ˂ 0.001* | |
| NFκB (ng/ml) | |||
| Baseline | 12.12±3.74 | 12.19±3.92 | 0.994 |
| After 6 months | 13.1±6.02 | 6.84±1.83 | <0.001* |
| P2 | 0.292 | ˂ 0.001* | |
| Lipopolysaccharide (ng/ml) | |||
| Baseline | 102.2±42.7 | 103.16±44.82 | 0.965 |
| After 6 months | 114.95±54.23 | 67.6±35.93 | <0.001* |
| P2 | 0.17 | ˂0.001* | |
| Zonulin (ng/ml) | |||
| Baseline | 7.82±3.05 | 7.92±2.91 | 0.855 |
| After 6 months | 7.36±3.37 | 3.19±1.63 | <0.001* |
| P2 | 0.446 | ˂0.001* | |
Data are presented as mean ±SD.
MDA: malondialdehyde; NFκB: nuclear factor kappa B; P1-value: Between groups statistical difference; P2-value; Within group statistical difference; a: p-value between placebo and allopurinol; b: p-value between placebo and atorvastatin.
*Statistically significant (p <0.05)
After 6 months of treatment, the atorvastatin group showed a statistically significant decline in all assessed biomarkers compared with baseline (all P2 < 0.001). In contrast, no significant within-group changes were observed in the placebo group over the same period (all P2 > 0.05). Between-group analysis at 6 months demonstrated significantly lower biomarker levels in the atorvastatin group than in the placebo group (all P1 < 0.001 for MDA, NF-κB, LPS, and zonulin).
Hematological and Liver Biochemistry Parameters
Hematological parameters were comparable between the placebo and atorvastatin groups at baseline, with no significant differences observed in hemoglobin, red blood cell count, white blood cell count, polymorphonuclear cell count, or platelet count (all P1 > 0.05).
Over the 6-month follow-up period, no significant within-group changes were detected in hemoglobin, red blood cell count, white blood cell count, or platelet count in either group (all P2 > 0.05). However, a statistically significant reduction in polymorphonuclear (PMN) cell count was observed in the atorvastatin group (P2 < 0.001).
There were no statistically significant differences between the placebo and atorvastatin groups at baseline for ALT, AST, total bilirubin, albumin, or INR (all P > 0.05). In addition, in the placebo group, no significant changes were observed after 6 months as compared to their baselines.
In contrast, the atorvastatin group demonstrated significant within-group increases after 6 months in ALT (P < 0.001), AST (P < 0.001), total bilirubin (P < 0.001), and albumin (P = 0.008), while INR did not change significantly. Between-group comparisons after 6 months showed significantly higher ALT, AST, total bilirubin, and albumin levels in the atorvastatin group compared with placebo (all P < 0.001), whereas INR remained comparable between groups. Table 4.
Table 4.
Data of hematological test and liver enzyme test.
| Parameter | Placebo | Atorvastatin | P1-value |
|---|---|---|---|
| HB(g/dl) | |||
| Baseline | 10.46±1.04 | 10.36±.1.09 | 0.64 |
| After 6 months | 10.56±1.19 | 10.57±1.01 | 0.964 |
| P2 | 0.615 | 0.138 | |
| RBCs(106U/L) | |||
| Baseline | 3.93±0.87 | 3.89±.0.86 | 0.818 |
| After 6 months | 3.9±0.89 | 3.79±0.83 | 0.524 |
| P2 | 0.879 | 0.526 | |
| WBCs(103U/L) | |||
| Baseline | 5.95±1.56 | 6.14±01.4 | 0.522 |
| After 6 months | 6.1±1.25 | 6.09±0.13 | 0.955 |
| P2 | 0.653 | 0.86 | |
| PMNs(103U/L) | |||
| Baseline | 76.36±8.54 | 76.08±7.08 | 0.859 |
| After 6 months | 76.04±7.63 | 62.04±12.52 | <0.001 |
| P2 | 0.844 | <0.001 | |
| PLTs(103U/L) | |||
| Baseline | 165±14.2 | 164.88.±13.76 | 0.966 |
| After 6 months | 165±13.46 | 161.78±11.6 | 0.203 |
| P2 | 1 | 0.226 | |
| ALT(U/L) | |||
| Baseline | 25.1±16.21 | 26.54±9.17 | 0.586 |
| After 6 months | 27.98±8.62 | 32.42±9.02 | <0.001 |
| P2 | 0.172 | <0.001 | |
| AST(U/L) | |||
| Baseline | 41.4±19.7 | 40.14±10.83 | 0.693 |
| After 6 months | 39.78±10.44 | 49.7±12.46 | <0.001 |
| P2 | 0.595 | <0.001 | |
| T-BIL (mg/dl) | |||
| Baseline | 2.66±2.61 | 3.22±1.98 | 0.852 |
| After 6 months | 2.57±2.45 | 3.95±2.21 | <0.001 |
| P2 | 0.266 | <0.001 | |
| ALB(g/dl) | |||
| Baseline | 2.92±0.63 | 2.94±0.42 | 0.852 |
| After 6 months | 2.97±0.51 | 3.22±0.41 | 0.008 |
| P2 | 0.097 | <0.001 | |
| INR | |||
| Baseline | 1.45±0.37 | 1.42±0.38 | 0.69 |
| After 6 months | 1.53±0.53 | 1.56±0.53 | 0.778 |
| P2 | 0.7 | 0.138 | |
Data are presented as mean ±SD; Hb: Hemoglobin; RBCs: Red Blood Cells; WBCs: White Blood Cells; PLTs: platelets; ALT: Alanine aminotransferase; AST : Aspartate transaminase; T-BIL: Total bilirubin; ALB: albumin; INR: international normalized ratio; P1-value: Between groups statistical difference; P2-value;:Within group statistical difference
Statistically significant (p <0.05)
Renal function, serum electrolytes, and oxidative/inflammatory biomarkers
Renal function parameters demonstrated clear differences between the two study groups after 6 months of treatment. Serum creatinine and BUN levels remained stable in the placebo group (p = 0.206 and p = 0.871, respectively). In contrast, patients treated with atorvastatin exhibited significant decreases in both creatinine and BUN (p < 0.001 for both) compared with baseline. These changes translated into significant between-group differences at 6 months for both S.Cr and BUN (p < 0.001 for each).
Serum electrolytes (Na⁺, K⁺, and Ca⁺⁺) did not show significant differences between the two groups at baseline or at study completion (all p > 0.05). Likewise, within-group changes over time were minimal and non-significant across both treatment arms, confirming that atorvastatin had no measurable impact on electrolyte balance.
Inflammatory biomarkers demonstrated a marked response to atorvastatin therapy. CRP levels decreased significantly in both groups, though the magnitude of reduction was substantially greater in the atorvastatin group (p < 0.001), resulting in a highly significant between-group difference at 6 months (p < 0.001). ESR1 and ESR2 also showed significant within-group reductions in both arms; however, a significant between-group difference was observed only for ESR2 at the end of treatment (p = 0.042), favouring atorvastatin. Table 5.
Table 5.
Data of renal function test, serum electrolytes, and serum malondialdehyde
| Parameter | Placebo (N=50) | Atorvastatin | P1-value |
|---|---|---|---|
| S.cr | |||
| Baseline | 1.06±.402 | 1.1±0.37 | 0.586 |
| After 6 months | 1.16±.43 | 0.83±0.25 | 0 |
| P2 | 0.206 | 0 | |
| BUN (mg/dl) | |||
| Baseline | 38.3±14.27 | 37.38±10.93 | 0.733 |
| After 6 months | 38.74±12.9 | 28.98±9.11 | 0 |
| P2 | 0.871 | 0 | |
| Na+ (mEq/l) | |||
| Baseline | 134.85±4.5 | 136.05±4.16 | 0.158 |
| After 6 months | 134.59±3.9 | 134.86±4.33 | 0.745 |
| P2 | 0.772 | 0.202 | |
| K+ (mEq/l) | |||
| Baseline | 3.74±0.59 | 3.9±0.58 | 0.168 |
| After 6 months | 3.65±0.69 | 3.8±0.55 | 0.262 |
| P2 | 0.465 | 0.354 | |
| Ca++ (mg/dl) | |||
| Baseline | 1.13±0.07 | 1.1±0.2 | 0.069 |
| After 6 months | 1.12±0.09 | 1.13±0.12 | 0.271 |
| P2 | 0.519 | 0.145 | |
| CRP (mg/dl) | |||
| Baseline | 53.06±24.8 | 48.76±14.32 | 0.291 |
| After 6 months | 34.92±10.18 | 15.86±6.05 | <0.001 |
| P2 | 0.011 | <0.001 | |
| ESR1 | |||
| Baseline | 48.3±18.02 | 49.08±18.05 | 0.0.829 |
| After 6 months | 44.74±18.24 | 40.68±15.52 | 0.234 |
| P2 | 0.027 | <0.001 | |
| ESR2 | |||
| Baseline | 96±36.05 | 96.16±27.35 | 0.945 |
| After 6 months | 89±36.48 | 76.6±25 | 0.042 |
| P2 | 0.027 | <0.001 | |
Data are presented as mean ±SD; S.Cr: Serum creatinine; BUN: blood urea nitrogen
P1-value: Between groups statistical difference; P2-value;:Within group statistical difference
Statistically significant (p <0.05)
Reported side effects during the treatment period
Throughout the treatment period. Overall, most side effects were mild and comparable between the two groups. Skin reactions (rash) were observed in 10% of patients receiving atorvastatin, while none were reported in the placebo group (P = 0.081). Gastrointestinal symptoms—including nausea, diarrhoea, stomach pain, constipation, and heartburn—occurred at similar rates in both groups, with no statistically significant differences (P > 0.05 for all). Neurological symptoms, including dizziness, drowsiness, and headache, were also comparable between groups.
Among musculoskeletal symptoms, the incidence of muscle pain/myalgia was significantly higher in the atorvastatin group compared to placebo (14% vs. 2%; P = 0.036), whereas joint pain/arthralgia was similar between groups (8% in both, P = 0.73).
These results indicate that atorvastatin was generally well tolerated, with the main notable side effect being a higher incidence of myalgia, while other adverse events did not differ significantly from placebo. Table 6..
Table 6.
Reported side effects for patients in the studied groups during the treatment period
| Side effect | Placebo (N=50) | Atorvastatin (N=50) | P-value |
|---|---|---|---|
| Skin reaction (Rash) | 0 (0%) | 5 (10%) | 0.081 |
| GIT symptoms | |||
| Nausea | 2 (4%) | 3(6%) | 0.701 |
| Diarrhea | 1 (2%) | 2(4%) | 0.594 |
| Stomach Pain | 4 (8%) | 1(4%) | 0.248 |
| Constipation | 2 (4%) | 5 (10%) | 0.18 |
| Heartburn | 3(6%) | 4 (8%) | 0.397 |
| Neurological symptoms | |||
| Dizziness | 1 (2%) | 6 (12%) | 0.155 |
| Drowsiness | 9 (18%) | 8 (16%) | 0.698 |
| Headache | 6 (12%) | 7 (14%) | 0.827 |
| Musculoskeletal symptoms | |||
| Joint Pain/ Arthralgia | 4 (8%) | 4 (8%) | 0.73 |
| Muscle Pain/Myalgia | 1 (2%) | 7 (14%) | 0.036* |
Data expressed as a number (percentage) and tested by the Chi-square test.
GIT: Gastrointestinal tract
*Statistically significant (P1 <0.05)
Discussion
Statins are often under-prescribed in patients with cirrhosis, even when clear indications such as dyslipidemia or prior cardiovascular events exist23. Beyond their established role in preventing atherosclerotic cardiovascular disease, statins have been shown to exert pleiotropic effects, providing additional benefits in conditions including chronic obstructive pulmonary disease, acute kidney injury, pancreatitis, and erectile dysfunction24..
Emerging evidence indicates that statins may provide benefits in both the primary and secondary prevention of cirrhosis, shifting their perception in chronic liver disease from risky to potentially beneficial25–27. Previous studies have shown that statins can slow hepatic fibrosis, prevent decompensation, and reduce all-cause mortality in patients with chronic liver disease28,29..
Given the limited evidence, further studies are needed before routine use in cirrhosis. In this context, we conducted a double-blind, placebo-controlled trial to evaluate the efficacy of atorvastatin in preventing hepatic decompensation. Our results demonstrated that atorvastatin administration led to a 50% reduction in overall cirrhosis-related complications, with the largest decreases observed in hepatorenal syndrome and a trend toward reduction in variceal bleeding. These findings align with previous reports indicating that statins have beneficial effects in cirrhosis3,23,30. Collectively, studies suggest that statins are safe in chronic liver disease, can modulate hemostasis through hepatic, endothelial, and platelet mechanisms, may reduce portal hypertension, lower the risk of decompensation and variceal bleeding, and potentially improve overall clinical outcomes, including mortality, particularly in patients with compensated cirrhosis.
Serum malondialdehyde (MDA), a marker of oxidative stress, was markedly elevated in cirrhotic patients at baseline, consistent with previous studies highlighting oxidative stress as a hallmark of cirrhosis31. In our study, atorvastatin administration significantly reduced serum MDA levels, supporting prior evidence that statins can mitigate oxidative stress and decrease inflammatory cell activation32..
Zonulin, a precursor of haptoglobin-2, is released in response to intestinal epithelial damage from bacteria or portal hypertension, disrupting tight junctions and increasing gut permeability33,34. Serum zonulin thus serves as a biomarker of intestinal barrier dysfunction and predicts hepatic decompensation. In our study, atorvastatin significantly reduced zonulin levels, indicating a protective effect against decompensation events.
Lipopolysaccharide (LPS), a marker of bacterial translocation, is associated with systemic inflammation and hemodynamic instability35. In our study, atorvastatin reduced circulating LPS, consistent with previous reports10..
LPS triggers Toll-like receptor 4 (TLR4) activation, leading to nuclear translocation of NF-κB and transcription of pro-inflammatory cytokines such as TNF-α, MCP-1, IL-6, and pro-IL-1β, which promote apoptotic and necroptotic pathways36. NF-κB thus serves as a reliable indicator of inflammatory and immune responses in decompensated cirrhosis.
In the present study, atorvastatin administration was associated with a reduction in NF-κB levels, accompanied by decreased systemic inflammation and the serum levels of CRP and ESR, and these matches finding reported by Planavil work37..
Hepatic decompensation arises from oxidative stress, systemic inflammation, gut barrier dysfunction, and bacterial translocation, all contributing to recurrent cirrhosis-related complications. In our study, atorvastatin reduced overall decompensation events by 50%, accompanied by significant decreases in key biomarkers: MDA (oxidative stress), zonulin (intestinal barrier integrity), LPS (bacterial translocation), and NF-κB (pro-inflammatory signaling). These findings underscore the pleiotropic effects of atorvastatin in modulating hepatointestinal and systemic homeostasis, providing a pathophysiological basis for its protective role, consistent with prior evidence of statins’ safety and beneficial effects on portal hypertension, systemic inflammation, and clinical outcomes in compensated cirrhosis.
Although atorvastatin reduced overall cirrhosis-related complications, no significant differences were observed for ascites, SBP, HE, or jaundice, with the most pronounced benefits seen in HRS and a trend toward reduction in variceal bleeding.
Several physiological and temporal factors may explain the selective impact of atorvastatin on specific complications. HRS-2 develops gradually in patients with refractory ascites, driven by progressive renal dysfunction, systemic inflammation, and endothelial dysregulation38. Epidemiological evidence indicates that HRS often occurs over months to years, rather than in the short-term recurrence of ascites39..
Accordingly, the six-month duration of our trial may have been sufficient to capture the protective effects of atorvastatin on the slowly evolving HRS-2, while being too short to detect statistically significant differences in other multifactorial decompensation events such as ascites, The six-month duration of our trial may have been sufficient to capture atorvastatin’s protective effects on slowly evolving HRS-2, while being too short to detect significant differences in other multifactorial complications such as ascites, SBP, HE, or jaundice. Mechanistically, atorvastatin may selectively modulate endothelial function, oxidative stress, systemic inflammation, and intrarenal signaling, interrupting the pathophysiological cascade leading to HRS-2 without preventing short-term recurrence of other complications40. We acknowledge that the limited number of complication-specific events and follow-up duration are important limitations, and these findings should be considered exploratory. Larger, longer-term studies are needed to confirm these results and clarify the reno-protective role of atorvastatin in cirrhosis.
Although chronic kidney disease (CKD) and HRS are distinct, they share key mechanisms, including systemic inflammation, endothelial dysfunction, and oxidative stress. Evidence from CKD shows that atorvastatin can improve renal function, reduce proteinuria, and modulate inflammatory and oxidative pathways41. By extrapolation, these pleiotropic effects may partly explain atorvastatin’s protective impact on HRS.
Our findings show some discrepancies compared to the StatLiver trial42. These differences may reflect our single-center, more homogeneous population predominantly with HBV- and HCV-related cirrhosis, variations in baseline disease severity, concomitant medications, adherence to standard therapy, smaller sample size, and differences in outcome definitions and follow-up protocols. Collectively, these factors indicate that, although promising, our results should be interpreted cautiously and considered hypothesis-generating until confirmed in larger, multicenter trials.
Concerning atorvastatin safety, atorvastatin treatment has been associated with a mild elevation in liver enzymes. In LiverTox, it was noted that atorvastatin therapy is associated with minor, asymptomatic, and typically transient elevations in serum aminotransferase levels43. However, the reported mild increase in liver enzymes in our study in the atorvastatin group was not of clinical significance according to HY’s law44..
Several limitations of this study warrant consideration. First, the absence of hepatic venous pressure gradient (HVPG) measurements, the gold standard for quantifying portal hypertension, precludes a direct assessment of atorvastatin’s hemodynamic effects. While HVPG provides critical mechanistic insights, its invasive nature and requirement for specialized interventional expertise often limit its feasibility in broader clinical settings. To address this, we prioritized patient-centred, clinically hard endpoints, including variceal bleeding recurrence and hepatorenal syndrome. These outcomes offer a pragmatic reflection of the drug’s impact on the natural history of cirrhosis. Furthermore, the observed improvements in biomarkers of bacterial translocation (LPS, zonulin) and systemic inflammation (NF-κB) provide an indirect yet biologically plausible link between atorvastatin therapy and reduced portal pressure, likely mediated by improved intrahepatic microcirculation. Second, the current research is limited by the lack of repeated measurements for laboratory biomarkers throughout the study period. Rather than assessments being performed at baseline and at the end of the 6-month follow-up. This restricted our ability to capture potential dynamic changes over time. It also lacked the measurement of creatinine kinase as a marker for statin-induced rhabdomyolysis. In addition, the single-centre design and the inclusion of only Egyptian patients, with viral hepatitis as the predominant etiology of cirrhosis, may limit the generalizability of the findings to other populations and to cirrhosis of different etiologies. Finally, the number of prior decompensation episodes before enrolment was not consistently available for all patients and therefore could not be analysed, which may represent a potential source of residual confounding. While the double -blind design minimizes bias, the magnitude of the clinical benefit observed here requires validation in larger, multi-ethnic, multicentre cohorts. Future investigations should incorporate serial HVPG measurements and long-term survival analysis to fully elucidate the hemodynamic mechanisms and the durability of the protective effects observed in this trial.
Conclusion
This randomized, double -blind, placebo-controlled trial suggests that a six-month course of atorvastatin (20 mg/day) is associated with a lower risk of recurrent decompensation in patients with advanced cirrhosis. Treatment with atorvastatin was also associated with a lower incidence of hepatorenal syndrome and a numerical reduction in variceal bleeding events. These clinical findings were accompanied by changes in biomarkers related to oxidative stress, systemic inflammation, and intestinal barrier function. While these observations are consistent with potential pleiotropic effects of atorvastatin, including modulation of the gut–liver axis, causal mechanisms cannot be established from the present study. Atorvastatin was generally well tolerated; transient elevations in transaminases were not clinically relevant, although mild myalgia occurred more frequently and warrants monitoring. Overall, these findings indicate a possible adjunctive role for atorvastatin in decompensated cirrhosis, which requires confirmation in larger, multicenter trials with dedicated mechanistic and hemodynamic assessments.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We would like to thank all patients and all the workers at Tanta University.
Author contributions
**Khadija A. M. Glal** contributed to conceptualization, literature search, data collection, data analysis, interpretation of results, and manuscript drafting. **Sahar M. El-Haggar** contributed to study supervision, critical revision of the manuscript, and approval of the final version. **Sherief M. Abdel-Salam** contributed to clinical consultation, validation of clinical data, interpretation of findings, and manuscript review. **Tarek M. Mostafa** contributed to study design, methodological oversight, and approval of the final manuscript. All authors have read and approved the final version of the manuscript.
Funding
Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).
Data availability
The full study protocol and statistical analysis (De-identified participant data and statistical code) plan will be made available from the corresponding author upon reasonable request.
Declarations
Competing interests
The authors declare no competing interests.
Ethics approval and consent to participate
The study was recorded on ClinicalTrials.gov Identifier: NCT05563389. The protocol for this work was assessed and approved by the Research Ethics Committee (internal review board) at Tanta University (13/6/2022). The study procedure was planned to follow the ethical guidelines of the 1975 Declaration of Helsinki. Written informed consent was obtained from all participants before inclusion in the study. Trial results will be disseminated through publication in a peer-reviewed journal and presentation at scientific meetings. A summary of the results will be made available on the ClinicalTrials.gov registry.
Consent for publication
Written informed consent for publication was obtained from all participants. All authors have reviewed and approved the final version of the manuscript and consent to its publication.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Cirrhosis of the Liver: What is It, Symptoms, Causes & Stages. Accessed April 27. (2022). https://my.clevelandclinic.org/health/diseases/15572-cirrhosis-of-the-liver
- 2.Nusrat, S., Khan, M. S., Fazili, J. & Madhoun, M. F. Cirrhosis and its complications: Evidence based treatment. World J. Gastroenterol.20(18), 5442–5460. 10.3748/wjg.v20.i18.5442 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Prado, Y. et al. Statins and Hemostasis: Therapeutic Potential Based on Clinical Evidence. Adv. Exp. Med. Biol.1408, 25–47. 10.1007/978-3-031-26163-3_2 (2023). [DOI] [PubMed] [Google Scholar]
- 4.Chou, R. et al. Statin use for the primary prevention of cardiovascular disease in adults: Updated evidence report and systematic review for the US Preventive Services Task Force. JAMA328(8), 754–771. 10.1001/JAMA.2022.12138 (2022). [DOI] [PubMed] [Google Scholar]
- 5.Khatiwada, N. & Hong, Z. Potential benefits and risks associated with the use of statins. Pharmaceutics16(2), 214. 10.3390/PHARMACEUTICS16020214 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Trebicka, J., Hernaez, R., Shawcross, D. L. & Gerbes, A. L. Recent advances in the prevention and treatment of decompensated cirrhosis and acute-on-chronic liver failure (ACLF) and the role of biomarkers. Gut73(6), 1015–1024. 10.1136/GUTJNL-2023-330584 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Stevens, P. E. et al. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int.105(4), S117–S314. 10.1016/j.kint.2023.10.018 (2024). [DOI] [PubMed] [Google Scholar]
- 8.Heidenreich, P. A. et al. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation145(18), E895–E1032. 10.1161/CIR.0000000000001063 (2022). [DOI] [PubMed] [Google Scholar]
- 9.Agustí, A. et al. Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD executive summary. Am. J. Respir. Crit. Care Med.207(7), 819. 10.1164/rccm.202301-0106PP (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Xing, X. Q. et al. Atorvastatin reduces lipopolysaccharide-induced expression of C-reactive protein in human lung epithelial cells. Mol. Med. Rep.4 (4), 753–757. 10.3892/MMR.2011.491 (2011). [DOI] [PubMed] [Google Scholar]
- 11.Moreno, M. et al. Atorvastatin attenuates angiotensin II-induced inflammatory actions in the liver. Am. J. Physiol. Gastrointest. Liver Physiol.10.1152/AJPGI.00462.2007 (2009). [DOI] [PubMed] [Google Scholar]
- 12.Angeli, P. et al. EASL clinical practice guidelines for the management of patients with decompensated cirrhosis. J. Hepatol.69(2), 406–460. 10.1016/J.JHEP.2018.03.024 (2018). [DOI] [PubMed] [Google Scholar]
- 13.Hepatic Encephalopathy·A Serious Complication of Alcoholic Liver Disease. Accessed April 6. (2020). https://pubs.niaaa.nih.gov/publications/arh27-2/143-145.htm [PMC free article] [PubMed]
- 14.Awad, M. M. E. D. et al. Role of minimal hepatic encephalopathy in road traffic accidents. Egypt. J. Neurol. Psychiatr. Neurosurg.55(1), 1–7. 10.1186/s41983-019-0055-1 (2019).30679899 [Google Scholar]
- 15.González Alonso, R., González García, M. & Albillos Martínez, A. Physiopathology of bacterial translocation and spontaneous bacterial peritonitis in cirrhosis. Gastroenterol. Hepatol.30(2), 78–84. 10.1157/13099277 (2007). [DOI] [PubMed] [Google Scholar]
- 16.Turon, F., Casu, S., Hernández-Gea, V. & Garcia-Pagán, J. C. Variceal and other portal hypertension related bleeding. Best Pract. Res. Clin. Gastroenterol.27(5), 649–664. 10.1016/j.bpg.2013.08.004 (2013). [DOI] [PubMed] [Google Scholar]
- 17.Guevara, M. & Ginès, P. Hepatorenal syndrome. Dig. Dis.23(1), 47–55. 10.1159/000084725 (2005). [DOI] [PubMed] [Google Scholar]
- 18.Ricketts, W. E. Jaundice in chronic hepatitis (cirrhosis of the liver). Gastroenterology17(4), 523–534. 10.1016/S0016-5085(51)80064-7 (1951). [PubMed] [Google Scholar]
- 19.Amer, M. O., Elsiesy, H. & Ascites Causes, Diagnosis, and Treatment. In: Liver Cirrhosis - Update and Current Challenges. InTech; doi:10.5772/intechopen.68868 (2017).
- 20.Shallal, A., Reaume, M., Knapp, M. & Ashman, E. 801: Acute encephalopathy? Check the spice rack!. Crit. Care Med.47, 379. 10.1097/01.ccm.0000551550.21138.d8 (2019). [Google Scholar]
- 21.Rimola, A. et al. Diagnosis, treatment and prophylaxis of spontaneous bacterial peritonitis: A consensus document. J. Hepatol.32(1), 142–153. 10.1016/S0168-8278(00)80201-9 (2000). [DOI] [PubMed] [Google Scholar]
- 22.Diaz-Soto, M. P. & Garcia-Tsao, G. Management of varices and variceal hemorrhage in liver cirrhosis: A recent update. Ther. Adv. Gastroenterol.15, 17562848221101712. 10.1177/17562848221101712 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wright, A. P., Adusumalli, S. & Corey, K. E. Review: Statin therapy in patients with cirrhosis. Frontline Gastroenterol.6(4), 255. 10.1136/FLGASTRO-2014-100500 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ibrahim, H. M., Moselhy, M. A. & El, Abd-El-Rahim, S. R. Gastroprotective Potential Effects of Statins on Indomethacin-Induced Gastric Ulcers in Rats. Bull. Egypt. Soc. Physiol. Sci.29 (1), 213–228. 10.21608/besps.2009.36341 (2009). [Google Scholar]
- 25.Kaplan, D. E. et al. SACRED: Effect of simvastatin on hepatic decompensation and death in subjects with high-risk compensated cirrhosis: Statins and Cirrhosis: Reducing Events of Decompensation. Contemp. Clin. Trials104, 106367. 10.1016/J.CCT.2021.106367 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wan, S., Huang, C. & Zhu, X. Systematic review with a meta-analysis: Clinical effects of statins on the reduction of portal hypertension and variceal haemorrhage in cirrhotic patients. BMJ Open9(7), e030038. 10.1136/BMJOPEN-2019-030038 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhao, L., Li, S. & Gao, Y. Efficacy of statins on renal function in patients with chronic kidney disease: A systematic review and meta-analysis. Ren. Fail.43(1), 718–728. 10.1080/0886022X.2021.1915799 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Vargas, J. I., Arrese, M., Shah, V. H. & Arab, J. P. Use of Statins in Patients with Chronic Liver Disease and Cirrhosis: Current Views and Prospects. 10.1007/s11894-017-0584-7 [DOI] [PMC free article] [PubMed]
- 29.Pereira, G. Statins in patients with cirrhosis: A note of caution in the middle of hope. Dig. Med. Res.3(0), 97–97. 10.21037/DMR-20-55 (2020). [Google Scholar]
- 30.Kreidieh, M., Hamadi, R., Alsheikh, M., Al Moussawi, H. & Deeb, L. Statin use in patients with chronic liver disease and cirrhosis: Current evidence and future directions. Gastroenterol. Res.15(1), 1–12. 10.14740/GR1498 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wang, S. L. et al. Relevance of plasma malondialdehyde level and severity of portal hypertension in cirrhotic patients. Int J Clin Exp Med. ;8(7):11007. Accessed August 4, 2024. (2015). /pmc/articles/PMC4565280/ [PMC free article] [PubMed]
- 32.Zinellu, A., Paliogiannis, P., Usai, M. F., Carru, C. & Mangoni, A. A. Effect of statin treatment on circulating malondialdehyde concentrations: A systematic review and meta-analysis. Ther. Adv. Chronic Dis.10(10), 2040622319862714. 10.1177/2040622319862714 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Fasano, A. Intestinal permeability and its regulation by zonulin: Diagnostic and therapeutic implications. Clin. Gastroenterol. Hepatol.10(10), 1096. 10.1016/J.CGH.2012.08.012 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Voulgaris, T. A. et al. Serum zonulin levels in patients with liver cirrhosis: Prognostic implications. World J. Hepatol.13(10), 1394. 10.4254/WJH.V13.I10.1394 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Pugin, J. et al. Lipopolysaccharide activation of human endothelial and epithelial cells is mediated by lipopolysaccharide-binding protein and soluble CD14. Proc. Natl. Acad. Sci. U. S. A.90(7), 2744–2748. 10.1073/pnas.90.7.2744 (1993). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Hsiao, H. Y., Chen, Y. C., Chen, H. M., Tu, P. H. & Chern, Y. A critical role of astrocyte-mediated nuclear factor-κB-dependent inflammation in huntington’s disease. Hum. Mol. Genet.22(9), 1826–1842. 10.1093/HMG/DDT036 (2013). [DOI] [PubMed] [Google Scholar]
- 37.Planavila, A., Laguna, J. C. & Vázquez-Carrera, M. Atorvastatin improves peroxisome proliferator-activated receptor signaling in cardiac hypertrophy by preventing nuclear factor-kappa B activation. Biochim. Biophys. Acta. 1687 (1–3), 76–83. 10.1016/J.BBALIP.2004.11.004 (2005). [DOI] [PubMed] [Google Scholar]
- 38.Nadim, M. K. et al. Hepatorenal syndrome: The 8th international consensus conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit. Care16(1), R23. 10.1186/CC11188 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Montoliu, S. et al. Incidence and prognosis of different types of functional renal failure in cirrhotic patients with ascites. Clin. Gastroenterol. Hepatol.8(7), 616–622. 10.1016/J.CGH.2010.03.029 (2010). [DOI] [PubMed] [Google Scholar]
- 40.Chen, W. H. et al. Advances in the molecular mechanisms of statins in regulating endothelial nitric oxide bioavailability: Interlocking biology between eNOS activity and L-arginine metabolism. Biomed. Pharmacother.171, 116192. 10.1016/J.BIOPHA.2024.116192 (2024). [DOI] [PubMed] [Google Scholar]
- 41.Zhao, L., Li, S. & Gao, Y. Efficacy of statins on renal function in patients with chronic kidney disease: A systematic review and meta-analysis. Ren. Fail.43(1), 718–728. 10.1080/0886022X.2021.1915799 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kronborg, T. M. et al. Atorvastatin for patients with cirrhosis. A randomized, placebo-controlled trial. Hepatol. Commun.10.1097/HC9.0000000000000332 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Atorvastatin LiverTox: Clinical and Research Information on Drug-Induced Liver Injury. Published online December 1, 2021. Accessed February 12, (2025). https://www.ncbi.nlm.nih.gov/books/NBK548236/
- 44.Temple, R. HY’s law: Predicting serious hepatotoxicity. Pharmacoepidemiol. Drug Saf.15(4), 241–243. 10.1002/PDS.1211 (2006). [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The full study protocol and statistical analysis (De-identified participant data and statistical code) plan will be made available from the corresponding author upon reasonable request.


