Abstract
Background
Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a severe condition with high mortality due to lack of efficient therapy. Until now, the use of methylprednisolone (MP) in HBV-ACLF is still controversial. We aimed to evaluate the efficacy and safety of MP in HBV-ACLF.
Methods
Totally 171 HBV-ACLF patients from three medical centers were randomly allocated into MP group (83 patients treated with MP intravenously guttae for 7 days plus standard treatment: 1.5 mg/kg/day [day 1–3], 1 mg/kg/day [day 4–5], and 0.5 mg/kg/day [day 6–7]) and control group (88 patients treated with standard treatment). The primary endpoints were 6-month mortality and prognostic factors for 6-month survival. The survival time, cause of death, adverse events, liver function, and HBV DNA replication were analyzed.
Results
The 6-month mortality was significantly lower in MP group than control group [32.4% vs. 42.5%, P = 0.0037]. MP treatment was an independent prognostic factor for 6-month survival [HR (95% CI) 0.547(0.308–0.973); P = 0.040]. Factors associated with reduced 6-month mortality in MP group included HBV DNA and lymphocyte/monocyte ratio (LMR) (P < 0.05). Based on ROC curve, LMR+MELD had a better predictive value for prognosis of HBV-ACLF under MP treatment. No significant difference in HBV DNA replication was observed between groups (P > 0.05).
Conclusions
MP therapy is an effective and safe clinical strategy in HBV-ACLF, increasing the 6-month survival rate.
Clinical trials registered at http://www.chictr.org.cn as ChiCTR-TRC-13003113 registered on 16 March 2013.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12916-020-01814-4.
Keywords: Hepatitis B, Acute-on-chronic liver failure, Methylprednisolone
Background
In Asia, hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) accounts for about 70% of all ACLF cases, which is identified with severe acute exacerbation (AE) of liver function to liver failure in the chronic hepatitis B (CHB) patients [1, 2], with high mortality (51.6 to 54.3%) [3]. Liver transplantation remains the only curative treatment for ACLF with limited application [4–6]. Up to now, there is no effective treatment which has been developed for HBV-ACLF patients.
Overwhelming systemic inflammation and susceptibility to infection are two key features of ACLF [7, 8]. “Endotoxin-macrophage-cytokine storm” is the core pathogenesis of liver failure. The chemical essence of endotoxin is lipopolysaccharide (LPS) [9]. With the interaction of LPS-binding protein, it binds to a variety of cell membrane receptor, stimulating the synthesis and release of cytokines, involving interferon-α (INF-α) and IL-12. As the most commonly used immunosuppressive and anti-inflammatory agent, methylprednisolone (MP) has theoretical basis for the treatment of ACLF [10–12]. However, until now, the use of methylprednisolone (MP) in HBV-ACLF is still uncertain and controversial [13].
With the coming of nucleoside analogs (NAs), more and more guidelines have recommended NAs to be used in patients with acute exacerbation of chronic HBV infection. The early combined use of NAs and MP could be a good option to reverse the potential deterioration in patients with HBV-related liver failure. Our previous study has demonstrated that MP can improve 28-day survival rate in HBV-ACLF patients [14]. A recent study has also reported that early combination therapy with glucocorticoids (GCs) and NAs induces rapid resolution of inflammation in ALF due to transient HBV infection [15]. However, Huang C et al. [16] investigated retrospectively the efficacy of GCs in patients with HBV-ACLF, which indicated that GCs treatment did not improve transplant-free survival in patients with HBV-ACLF.
Therefore, in order to further evaluate the efficacy and safety of MP in HBV-ACLF patients, we proceed this multi-center, prospective randomized controlled clinical trial to provide evidence for MP as one of the clinically effective treatments for HBV-ACLF.
Methods
Eligibility
Patients were recruited at Beijing Di Tan Hospital, Capital Medical University, People’s Liberation Army No. 302 Hospital, and Beijing You-An Hospital, Capital Medical University, from April 2013 to May 2015. All procedures related to this research were accorded morally with current laws as well as the creeds of the Declaration of Helsinki. The research was permitted by the Ethical Committee of Beijing You-An Hospital, Capital Medical University, Beijing Di Tan Hospital Capital Medical University, and People’s Liberation Army No. 302 Hospital (No.2 [2013]). All study participants gave their informed consent to participate in the study. The process of study selection and exclusion was shown in Fig. 1.
Patients selection
The inclusion criteria were the following: (1) aged 18 years or older; (2) previously diagnosed or undiagnosed HBV, HBsAg positive; and (3) all enrolled patients met the criteria for ACLF from the consensus recommendations of the Asian Pacific Association for the Study of the Liver (APASL) specified as follows: an acute hepatic insult manifesting as jaundice (serum bilirubin ≥ 5 mg/dl [≥ 85 μmol/l]) and coagulopathy (INR ≥ 1.5 or prothrombin activity ≤ 40%) complicated within 4 weeks by clinical ascites and/or encephalopathy in a patient with previously diagnosed or undiagnosed chronic liver disease/cirrhosis [17, 18]. Diagnostic criteria for cirrhosis are made by history, physical examination, and previously available laboratory, fibrosis biomarkers (e.g., FIB-4 or FibroTest), endoscopic or radiologic investigations (ultrasound, CT abdomen or transient elastography [fibroscan]), or a previously liver biopsy history [19].
The exclusion criteria comprised the following: (1) uncontrolled bacterial infection or gastrointestinal hemorrhage before enrollment; (2) infection with hepatitis virus other than HBV, or human immunodeficiency virus; (3) autoimmune diseases, alcoholic liver disease, and drug-induced hepatitis; and (4) serious renal, cardiac, respiratory, neurologic diseases, or any detectable tumor.
The diagnostic criteria of complications included (1) gastrointestinal hemorrhage confirmed by endoscopy, (2) bacterial infection diagnosed by a positive culture result [20], (3) fungal infection diagnosed according to EORTC/MSG definition [21], (4) hepatorenal syndrome (HRS) diagnosed according to the International Ascites Club’s guidelines [22], (5) spontaneous bacterial peritonitis (SBP) diagnosed based on diagnostic paracentesis [23], (6) electrolyte disturbance defined as ≥ 1 electrolyte abnormalities of K+, Na+, and Cl−, (7) hypoalbuminemia diagnosed when albumin < 35 g/L, and (8) pleural effusion diagnosed by X rays or computerized tomography.
Study design
After investigators confirmed eligibility, patients were randomized (1:1 allocation ratio) to MP plus standard management (MP group) or standard treatments (control group) by computer-generated permutated block randomization (block size of four) stratified. Treatment was started when patients were enrolled and the day of enrollment was defined as day 1.
Patients were followed up at the baseline (0 days), 3 days, 7 days, 10 days, 14 days, 30 days, and then monthly until the 6th month. Collected information included laboratory tests, screening for complications. The alive status means significant improvement in clinical symptoms, bilirubin< 5 × upper limit of normal (5ULN), PTA > 30%, or INR < 1.5.
Treatment protocols
Standard treatments included antiviral drugs (lamivudine 100 mg/day, adefovir dipivoxil 10 mg/day, entecavir 0.5 mg/day, telbivudine 600 mg/day, or tenofovir disoproxil fumarate 300 mg/day based on individual’s condition before enrollment), nutritional support (1.5–2.0 g protein/kg/day and 35–40 kcal/kg/day), plasma exchange, and complications control such as anti-infection, administration of human serum albumin (10 g per day until serum albumin was 35 g/L), fresh frozen plasma (200 ml to 400 ml/day until the INR < 1.5), and vasoactive agents (terlipressin alone or in combination with noradrenaline to reverse septic shock). All treatments were performed based on the criteria of diagnostic and treatment guidelines for ACLF adopted by the Chinese Medical Association [24].
The MP group was given standard treatments combined with MP intravenously guttae for 7 days: 1.5 mg/kg/day, days 1–3; thereafter 1 mg/kg/day, days 4–5; and followed by 0.5 mg/kg/day, days 6–7.
Clinical and laboratory parameters
Laboratory tests measured PTA, prothrombin time (PT), INR, bilirubin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), albumin, creatinine, blood urea nitrogen, cholesterol, cholinesterase, triglyceride, alpha-fatal protein (AFP), blood ammonia, hemoglobin, platelet, white blood cell, red blood cell, lymphocyte percentage, monocyte percentage, lymphocyte to monocyte ratio (LMR), and procalcitonin and neutrophil percentage with routine automated techniques. HBsAg and HBeAg were assayed using commercially available radioimmunoassay kits (Roche Diagnostics). Serum HBV-DNA was quantified using a cross linking chemical hybridization assay (Roche Diagnostics) and the detection threshold is 100 copies/ml. All hospitals use the same assay and standard operating procedure for the above indicators. Model for end-stage liver disease (MELD) score was calculated according to the original formula proposed by the Mayo Clinic [25].
Study outcomes
The primary endpoints were 6-month mortality and prognostic factors for 6-month survival. The secondary endpoints were adverse events and changes of laboratory indices during treatment.
Statistical analysis
Quantitative variables, expressed as means ± SD or medians (interquartile range), were compared using Wilcoxon, Kruskal–Wallis, or Student’s t tests, as appropriate. Qualitative variables, expressed as percentages, were compared using chi-square or Fisher’s exact tests. Ordinal enumeration variables were analyzed by rank sum tests. The changes of indices during follow up time were compared using variance analysis for repeated data. Kaplan-Meier survival curves were plotted and compared with log-rank tests. Significantly predictive factors of mortality in univariate models (P < 0.1) were included in multivariate Cox-regression models. ROC curve was used to identify the predictive value of indices for prognosis. All analyses were performed using SPSS (version 26.0, Chicago, IL, USA), and statistical significance was set up as a two-sided P value < 0.05. The formula was used to calculate the sample size: n1 = n2 = , where (α = 0.05, β = 0.10, 1-β = 0.90, σ = 8.8, S = 15.9). The required sample size was “70” for each group. Improvement of PTA by at least 30% is proposed to make a difference on the curative effect [26].
Results
Baseline characteristics of patients with HBV-ACLF
The process of study selection and exclusion was shown in Fig. 1. A total of 222 patients were evaluated. After exclusion of 51 patients who did not meet the inclusion criteria, 171 cases were enrolled. Among 171 patients who were randomized (mean age, 45.2 years; 152 (88.9%) men), 142 (83.0%) completed follow-up through 6 months. Table 1 shows the baseline demographic and clinical characteristics for both groups. Most patients did not apply NAs treatment when the disease onset (69.9% in the MP group and 78.4% in the control group). Twenty-one patients (12.3%) had undetectable HBV DNA (< 100 copies/ml) at the baseline. There was no significant difference between MP group and control group at the baseline characteristics (Table 1).
Table 1.
Characteristic | No. of patients (N = 171) | Methylprednisolone (N = 83) | Control (N = 88) | P |
---|---|---|---|---|
Malea | 152 (88.9%) | 74 (8.4%) | 78 (88.6%) | 0.914 |
Age (years) | 45.2 ± 12.3 | 43.7 ± 12.7 | 46.6 ± 11.8 | 0.121 |
Cirrhosisa | 139 (81.3%) | 67 (80.7%) | 72 (81.8%) | 0.854 |
Time from onsetd to admission (days)b | 20 (10–30) | 16 (10–21) | 20 (13–30) | 0.083 |
MELD score | 23.3 ± 4.7 | 22.8 ± 4.0 | 23.9 ± 5.2 | 0.132 |
Lg HBV DNA (IU/ml) | 4.8 ± 1.9 | 4.9 ± 2.0 | 4.6 ± 1.8 | 0.383 |
HBV DNAa | ||||
Positive | 150 (87.7%) | 70 (84.3%) | 80 (90.9%) | 0.191 |
Negative | 21 (12.3%) | 13 (15.7%) | 8 (9.1%) | 0.191 |
HBeAga | ||||
Positive | 90 (52.6%) | 43 (51.8%) | 47 (53.4%) | 0.834 |
Negative | 81 (47.4%) | 40 (48.2%) | 41 (46.6%) | 0.834 |
HBsAgb | 2582.0 (401.0–6012.0) | 2582.0 (422.8–5884.0) | 2613.0 (325.4–6197.3) | 0.843 |
No medication with NAs when the disease onseta | 127 (74.3%) | 58 (69.9%) | 69 (78.4%) | 0.202 |
Never used before | 89 (52.0%) | 38 (45.8%) | 51 (58.0%) | |
Drug withdrawal | 38 (22.2%) | 20 (24.1%) | 18 (20.5%) | |
ADV | 6 (3.5%) | 2 (2.4%) | 4 (4.5%) | |
ETV | 16 (9.4%) | 12 (14.5%) | 4 (4.5%) | |
LAM | 10 (5.8%) | 4 (4.8%) | 6 (6.8%) | |
ETV+ADV | 3 (1.8%) | 1 (1.2%) | 2 (2.3%) | |
LAM+ADV | 3 (1.8%) | 1 (1.2%) | 2 (2.3%) | |
Medication with NAs when the disease onseta | 44 (25.7%) | 25 (30.1%) | 19 (21.6%) | 0.202 |
LAM | 7 (4.1%) | 4 (4.8%) | 3 (3.4%) | |
LAM+TDF | 1 (0.6%) | 1 (1.2%) | 0 | |
LAM+ADV | 7 (4.1%) | 3 (3.6%) | 4 (4.5%) | |
ETV | 26 (15.2%) | 16 (19.3%) | 10 (11.4%) | |
ADV | 2 (1.2%) | 0 | 2 (2.3%) | |
LdT | 1 (0.6%) | 1 (1.2%) | 0 | |
NAs therapy after enrollmenta | 171 (100%) | 83 (100%) | 88 (100%) | 0.101 |
LAM | 16 (9.4%) | 6 (7.2%) | 10 (11.4%) | |
LAM+ADV | 7 (4.1%) | 5 (6.0%) | 2 (2.3%) | |
LAM+TDF | 1 (0.6%) | 1 (1.2%) | 0 | |
ETV | 142 (83.0%) | 69 (83.1%) | 73 (83.0%) | |
ETV+ADV | 2 (1.2%) | 0 | 2 (2.3%) | |
ADV | 1 (0.6%) | 0 | 1 (1.1%) | |
LdT | 2 (1.2%) | 2 (2.4%) | 0 | |
ALT (U/L)b | 307.0 (117.2–573.6) | 347.0 (131.7–685.9) | 276.3 (106.8–514.1) | 0.080 |
AST (U/L)b | 214.0 (156.8–485.0) | 291.3 (156.8–515.0) | 184.4 (155.5–306.1) | 0.054 |
Bilirubin (μmol/L) | 353.9 ± 138.4 | 335.3 ± 133.8 | 371.4 ± 141.2 | 0.089 |
Albumin (g/L) | 31.0 ± 4.1 | 31.4 ± 3.6 | 30.7 ± 4.5 | 0.257 |
Cholinesterase (IU/L) | 3215.8 ± 1165.5 | 3262.0 ± 1063.3 | 3172.3 ± 1258.9 | 0.616 |
AFP (ng/ml)b | 80.0 (33.1–180.0) | 86.0 (45.5–240.0) | 65.7 (21.7–132.8) | 0.150 |
Cholesterol (mmol/L) | 2.3 ± 0.8 | 2.4 ± 0.9 | 2.2 ± 0.7 | 0.059 |
Blood urea nitrogen (mmol/L) b | 4.0 (3.2–6.1) | 4.6 (3.1–6.1) | 4.3 (3.5–6.3) | 0.054 |
Creatinine (μmol/L)b | 66.2 (56.8–81.0) | 64.4 (55.4–76.6) | 68.0 (58.1–84.5) | 0.123 |
NH3 (μg/dl) | 86.5 ± 45.2 | 89.2 ± 44.9 | 84.0 ± 45.7 | 0.449 |
Triglyceride (mmol/L)b | 0.9 (0.6–1.5) | 0.8 (0.5–1.7) | 0.9 (0.6–1.4) | 0.936 |
White blood cell (× 109/L) | 7.3 ± 3.5 | 7.3 ± 3.4 | 7.3 ± 3.6 | 0.960 |
Lymphocyte percentage | 20.7 ± 8.5 | 20.1 ± 8.1 | 21.3 ± 8.9 | 0.372 |
Monocyte percentage | 9.5 ± 3.6 | 9.0 ± 3.5 | 9.8 ± 3.7 | 0.147 |
Lymphocyte/monocyte ratiob | 2.2 (1.5–3.0) | 2.2 (1.5–3.0) | 2.1 (1.5–2.9) | 0.502 |
Neutrophil percentage | 68.6 ± 10.6 | 69.1 ± 9.6 | 68.1 ± .11.4 | 0.547 |
Procalcitonin (μg/L)b | 0.6 (0.4–0.9) | 0.6 (0.5–1.0) | 0.6 (0.3–0.8) | 0.197 |
PT (s)b | 22.9 (20.2–27.9) | 22.9 (19.2–22.8) | 22.9 (20.7–27.6) | 0.877 |
PTA (%) | 35.9 ± 9.2 | 36.0 ± .10.3 | 35.8 ± 8.1 | 0.865 |
INRa | 2.9 (1.7–2.3) | 2.1 (1.6–2.6) | 2.0 (1.7–2.2) | 0.580 |
Red blood cell (× 1012/L) | 3.9 ± 0.8 | 4.0 ± 0.8 | 3.8 ± 0.9 | 0.070 |
Hemoglobin (g/L) | 124.2 ± 21.1 | 127.6 ± 18.9 | 121.5 ± 22.3 | 0.056 |
Platelet (×109/L) | 105.2 ± 51.6 | 113.0 ± 45.3 | 97.9 ± 56.1 | 0.055 |
Ascitesa | 103 (60.2%) | 45 (54.2%) | 58 (65.9%) | 0.118 |
Infectionsa | 92 (53.8%) | 47 (56.6%) | 45 (51.1%) | 0.472 |
Electrolyte disturbancea | 17 (9.9%) | 5 (6.0%) | 12 (13.6%) | 0.096 |
Encephalopathya | 21 (12.3%) | 12 (14.5%) | 9 (10.2%) | 0.400 |
Hypoalbuminemiaa | 35 (20.5%) | 16 (19.3%) | 19 (21.6%) | 0.708 |
Hepatorenal syndromea | 5 (2.9%) | 1 (1.2%) | 4 (4.5%) | 0.369 |
Pleural effusiona | 7 (4.1%) | 3 (3.6%) | 4 (4.5%) | 1.000 |
Hyperthyroidisma | 1 (0.6%) | 1 (1.2%) | 0 | 0.485 |
Peptic ulcera | 2 (1.2%) | 1 (1.2%) | 1 (1.1%) | 1.000 |
Artificial liver support after enrollmentc | – | 87.98 | 84.13 | 0.582 |
Artificial centesis after enrollmentc | – | 79.55 | 92.08 | 0.090 |
The time of antibiotic use after enrollmentc | – | 91.72 | 80.60 | 0.141 |
aData expressed with number of cases
bData expressed as median (range)
cDate expressed with mean rank
dOnset: appearance of nausea, poor appetite, jaundice, or gastrointestinal hemorrhage
Standard treatments of HBV-ACLF
Standard treatments include antiviral drugs, plasma exchange, anti-infection drugs, and artificial centesis. No significant difference was observed between MP group and control group for standard treatments after enrollment (Table 1). 19.3% and 12.5% of patients received intensive care therapy in MP group and control group, respectively (P = 0.173). 50.6% (42/83) patients in MP group received plasma exchange and 47.7% (42/88) patients in control group. There was no significant difference for the use of plasma exchange between groups (P = 0.707).
Six-month primary outcome analysis
Mortality and causes-of-death analysis
At the 6-month primary end point, 88 patients had died. 43.2% occurred before day 30, 19.3% between day 30 and day 60, 11.4% between day 60 and day 90, and 26.1% between day 90 and 6-months. In the primary analysis, the mortality rate of MP group and control group was 32.4% and 42.5%, respectively (P = 0.0037) at 6 months (Fig. 2a). The mortality rate of MP group was lower than control group on 14 days, 30 days, 60 days, 90 days, 120 days, 150 days, and 180 days.
Nineteen patients died from infections, 13 from HE, 16 from HRS, 6 from gastrointestinal bleeding, 5 from multiple organ failure, and 2 from cerebral hemorrhage. No significant differences in the causes of death were observed between MP group and control group (Fig. 2b, c).
Overall, 9 patients had been liver transplanted. Liver transplantation considered statistical evaluation to be an equivalent of alive in this study. 1.5% (1/83) patients in the MP group received liver transplantation and 10.4% (8/88) patients in the control group. There was no significant difference for the use of liver transplantation between groups [HR (95% CI) 0.131 (0.016–1.074); P = 0.064]. The intention-to-treat concept was applied in this study.
Efficacy of MP and risk factors associated with mortality at 6 months
Based on univariate analysis and collinearity diagnosis, MP, age, bilirubin, blood urea nitrogen, creatinine, triglyceride, lymphocyte percentage, monocyte percentage, LMR, PTA, INR, ascites, HE, and HRS were included for multivariate analysis. It was shown that MP was one of the independent predictors for mortality in HBV-ACLF patient [HR (95% CI) 0.547(0.308–0.973); P = 0.040] (Table 2). Meanwhile, Cox analysis revealed that HBV DNA and lymphocyte/monocyte ratio (LMR) can predict mortality of patients undergoing MP treatment (P < 0.05, Tables 3 and 4).
Table 2.
Factors | Univariate | Multivariate | ||
---|---|---|---|---|
HR(95%CI) | P value | HR(95%CI) | P value | |
Methylprednisolone | 0.584 (0.349–0.976) | 0.040 | 0.547 (0.308–0.973) | 0.040 |
Centers a | – | 0.683 | ||
Cirrhosis | 1.114 (0.566–2.194) | 0.755 | ||
Antiviral treatment a | – | 0.410 | ||
Male | 0.594 (0.293–1.205) | 0.149 | ||
Age (years) | 1.024 (1.004–1.045) | 0.019 | 1.012 (0.987–1.037) | 0.359 |
Time from onset to admission (days) | 1.008 (0.993–1.024) | 0.304 | ||
MELD score | 1.123 (1.072–1.176) | 0.000 | ||
lg HBV DNA (IU/ml) | 0.973 (0.851–1.112) | 0.686 | ||
HBV DNA positive | 0.617 (0.313–1.218) | 0.164 | ||
HBeAg positive | 0.726 (0.439–1.201) | 0.213 | ||
HBsAg | 1.000 (1.000–1.000) | 0.248 | ||
ALT(U/L) | 0.999 (0.999–1.000) | 0.092 | ||
AST(U/L) | 1.000 (0.999–1.001) | 0.859 | ||
Bilirubin (μmol/L) | 1.004 (1.002–1.005) | 0.000 | 1.003 (1.001–1.005) | 0.004 |
Albumin(g/L) | 0.985 (0.924–1.050) | 0.648 | ||
Cholinesterase (IU/L) | 1.000 (1.000–1.000) | 0.893 | ||
AFP (ng/ml) | 0.999 (0.997–1.001) | 0.228 | ||
Blood urea nitrogen (mmol/L) | 1.149 (1.049–1.260) | 0.003 | 1.195 (1.018–1.402) | 0.029 |
Creatinine (μmol/L) | 1.006 (1.001–1.011) | 0.020 | 0.995 (0.984–1.005) | 0.318 |
NH3(μg/dl) | 1.002 (0.997–1.008) | 0.413 | ||
Triglyceride (mmol/L) | 0.628 (0.401–0.986) | 0.043 | 0.905 (0.524–1.561) | 0.719 |
Cholesterol (mmol/L) | 0.835 (0.585–1.190) | 0.319 | ||
White blood cell(× 109/L) | 1.057 (0.986–1.133) | 0.115 | ||
Lymphocyte percentage | 0.934 (0.903–0.966) | 0.000 | 0.950 (0.883–1.023) | 0.175 |
Monocyte percentage | 1.103 (1.023–1.190) | 0.011 | 1.149 (1.011–1.307) | 0.034 |
Lymphocyte to monocyte ratio | 0.497 (0.366–0.674) | 0.000 | 0.838 (0.468–1.502) | 0.553 |
Neutrophil percentage | 1.037 (1.012–1.062) | 0.003 | ||
Procalcitonin (μg/L) | 0.993 (0.871–1.132) | 0.913 | ||
PTA (%) | 0.942 (0.914–0.970) | 0.000 | 0.931 (0.870–0.996) | 0.038 |
INR | 2.272 (1.482–3.493) | 0.000 | 0.918 (0.320–2.629) | 0.873 |
Red blood cell(× 1012/L) | 0.959 (0.711–1.293) | 0.782 | ||
Hemoglobin(g/L) | 0.998 (0.986–1.009) | 0.702 | ||
Platelet(× 109/L) | 0.996 (0.991–1.002) | 0.163 | ||
Ascites | 2.021 (1.154–3.539) | 0.014 | 0.879 (0.467–1.656) | 0.690 |
Infections | 1.381 (0.826–2.308) | 0.218 | ||
Electrolyte disturbance | 0.599 (0.217–1.651) | 0.322 | ||
HE | 2.161 (1.148–4.066) | 0.017 | 1.270 (0.629–2.564) | 0.505 |
Hypoalbuminemia | 1.010 (0.537–1.900) | 0.975 | ||
HRS | 4.296 (1.544–11.954) | 0.005 | 1.013 (0.216–4.753) | 0.987 |
aRisk estimate statistics cannot be computed. They are only computed for two groups of data
Table 3.
Factors | Univariate | Multivariate | ||
---|---|---|---|---|
HR (95% CI) | P | HR (95% CI) | P | |
Male | 0.496 (0.169–1.451) | 0.200 | ||
Centersa | – | 0.575 | ||
Antiviral treatmenta | – | 0.681 | ||
Age (years) | 1.006 (0.975–1.039) | 0.695 | ||
cirrhosis | 1.254 (0.429–3.670) | 0.679 | ||
Time from onset to admission (days) | 1.021 (1.001–1.043) | 0.044 | 1.021 (0.997–1.045) | 0.085 |
MELD scores | 1.144 (1.053–1.244) | 0.001 | ||
lg HBV DNA | 0.812 (0.653–1.008) | 0.060 | ||
HBV DNA positive | 0.247 (0.105–0.584) | 0.001 | 4.875 (1.596–14.889) | 0.005 |
HBeAg positive | 1.130 (0.506–2.523) | 0.765 | ||
HBsAg | 1.000 (1.000–1.000) | 0.184 | ||
ALT(U/L) | 0.999 (0.999–1.000) | 0.213 | ||
AST(U/L) | 1.000 (0.999–1.001) | 0.669 | ||
Bilirubin (μmol/L) | 1.005 (1.002–1.008) | 0.001 | 1.001 (0.998–1.004) | 0.534 |
Cholinesterase (IU/L) | 1.000 (0.999–1.000) | 0.375 | ||
AFP (ng/ml) | 0.997 (0.994–1.001) | 0.111 | ||
Albumin (g/L) | 0.978 (0.872–1.096) | 0.700 | ||
Blood urea nitrogen (mmol/L) | 1.094 (0.941–1.271) | 0.241 | ||
Creatinine (μmol/L) | 1.000 (0.987–1.013) | 0.976 | ||
NH3 (μmol/L) | 1.005 (0.998–1.012) | 0.152 | ||
Triglyceride (mmol/L) | 0.731 (0.394–1.356) | 0.320 | ||
Cholesterol (mmol/L) | 0.896 (0.537–1.496) | 0.675 | ||
White cell (× 109/L) | 1.049 (0.942–1.168) | 0.381 | ||
Red cell (× 109/L) | 0.996 (0.611–1.622) | 0.986 | ||
Hemoglobin (g/L) | 0.998 (0.978–1.019) | 0.870 | ||
Platelet (× 109/L) | 0.999 (0.990–1.008) | 0.851 | ||
Lymphocyte percentage | 0.955 (0.904–1.008) | 0.096 | ||
Monocyte percentage | 1.181 (1.049–1.329) | 0.006 | 1.156 (0.954–1.401) | 0.138 |
Lymphocyte/monocyte ratio | 0.533 (0.339–0.839) | 0.007 | 0.537 (0.291–0.992) | 0.047 |
Procalcitonin (μg/L) | 0.992 (0.732–1.344) | 0.957 | ||
Neutrophil percentage | 1.018 (0.978–1.060) | 0.375 | ||
PTA (%) | 0.929 (0.887–0.974) | 0.002 | 0.901 (0.790–1.028) | 0.122 |
INR | 2.764 (1.401–5.451) | 0.003 | 0.613 (0.074–5.075) | 0.650 |
Ascites | 2.467 (1.021–5.959) | 0.045 | 1.143 (0.398–3.276) | 0.804 |
Infections | 1.344 (0.588–3.072) | 0.484 | ||
Electrolyte disturbance | 0.045 (0.000–64.307) | 0.403 | ||
HE | 3.257 (1.347–7.873) | 0.009 | 2.746 (0.868–8.683) | 0.085 |
Hypoalbuminemia | 1.183 (0.404–3.464) | 0.759 | ||
HRS | 6.965 (0.899–53.954) | 0.063 |
aRisk estimate statistics cannot be computed. They are only computed for two groups of data
Table 4.
Model | Collinearity statistics | Model | Collinearity statistics | ||
---|---|---|---|---|---|
Tolerance | VIF | Tolerance | VIF | ||
Age | 0.814 | 1.228 | 0.852 | 1.174 | |
Male | 0.833 | 1.200 | 0.863 | 1.159 | |
Methylprednisolone | 0.856 | 1.168 | 0.856 | 1.168 | |
MELD | 0.048 | 20.674 | – | – | |
ALT | 0.778 | 1.285 | 0.787 | 1.270 | |
TBIL | 0.324 | 3.088 | 0.772 | 1.295 | |
Blood urea nitrogen | 0.504 | 1.986 | 0.504 | 1.986 | |
Creatinine | 0.081 | 12.282 | 0.485 | 2.063 | |
Triglyceride | 0.795 | 1.258 | 0.796 | 1.257 | |
Lymphocyte percentage | 0.117 | 8.521 | 0.118 | 8.494 | |
Monocyte percentage | 0.336 | 2.979 | 0.336 | 2.974 | |
Neutrophil percentage | 0.103 | 9.672 | 0.104 | 9.644 |
The subset analysis for the efficacy of MP in those without ascites, without encephalopathy, is a useful way to show the efficacy of MP in early ACLF. Significant differences were observed (P = 0.045) in the survival rates among MP-treated early ACLF (81.1%), MP-treated advanced ACLF (63.0%), control-early ACLF (64.3%), and control-advanced ACLF groups (55%) at 6 months. The survival rate of MP- treated early ACLF group was higher than control-early ACLF on 30 days [HR (95% CI) 3.981 (1.192–13.300); P = 0.027], 60 days [HR (95% CI) 2.658 (0.971–7.276); P = 0.048], 90 days [HR (95% CI) 2.658 (0.971–7.276); P = 0.048], and 120 days [HR (95% CI) 2.658 (0.971–7.276); P = 0.048] (Fig. 3).
Six-month secondary outcome analysis
Improved survival correlates with lymphocyte percentage, monocyte percentage, and LMR
As shown in Fig. 4, the survivors had a higher lymphocyte percentage and a lower monocyte percentage in peripheral blood compared to the non-survivors at baseline (P < 0.01). In the MP group, the survivors had a higher LMR in peripheral blood compared to the non-survivors at baseline (P < 0.01). The MP group exhibited a rapid decrease in lymphocyte percentage, monocyte percentage, and LMR in peripheral blood during treatment compared to control group. Subsequently, the survivors in the MP group displayed a continuous increase in the above indices compared to the non-survivors (P < 0.01). The restoration of immunity was characterized by the recovery of lymphocyte percentage, monocyte percentage, and LMR in peripheral blood after MP treatment.
Based on ROC curve, MELD+LMR had a better predictive value for prognosis of HBV-ACLF under MP treatment. The RQ cutoff value was 2.14 for LMR, 22.4 for MELD, and 0.255 for MELD + LMR (Fig. 5).
Effect of MP on HBV DNA and liver function
No significant difference in HBV DNA quantity was observed between groups (P > 0.05, Fig. 6a). Compared to control group, serum bilirubin was lower on day 3 and day 7; PTA was higher on days 3, 7, 10, 14, 28, and 60; INR was lower on days 7, 10, and 14 in the MP group (Fig. 6b–d).
Adverse events
The incidence of hypoalbuminemia (56.6% vs. 37.5%, P = 0.012), fungal infection (32.5% vs. 19.3%, P = 0.048), or ascites (33.7% vs. 20.5%, P = 0.050) was higher in MP group compared with the control group. Forty-seven patients developed HE, 27.7% in the MP group whereas 27.3% in the control group (P = 0.949). The incidence of newly onset infection was 41.0% in the MP group whereas 31.8% in the control group (P = 0.214). Other adverse events including electrolyte disturbance, HRS, gastrointestinal hemorrhage, acute renal insufficiency, hypoglycemia, pleural effusion, adrenal hyperplasia, and peptic ulcer were comparable between groups (Fig. 6e).
Discussion
ACLF is commonly accompanied by rapid progression, multiple organ failure, and low survival rate. Liver transplantation is the only treatment which has proven beneficial. However, the lack of donors and rapid disease progression limit its application [26, 27]. Therefore, there is an urgent need to find an effective and safe approach to ACLF. In this study, we found that MP improved the efficacy of standard treatment in HBV-ACLF, which could be a safe and effective treatment to HBV-ACLF.
The most common type of liver failure in the Asia-Pacific region is HBV-ACLF. The clinical stage of HBV-ACLF could be divided into four stages, early ascending stage, late ascending stage, platform stage, and recovery stage [28]. Immune injury is the main event in the early ascending stage. The pathogenesis in late ascending stage is related to immune injury, ischemia, and hypoxia injury. In the platform stage, body conditions reach an immunosuppression state.
Endotoxemia is a significant factor during the initiation of liver failure. Recent studies have reported that there existed an inflammatory cascade in the early stage of HBV-ACLF [29, 30]. The earlier systemic inflammatory response syndromes (SIRS) occur, the higher mortality would be. MP can stabilize hepatocyte membrane, suppress inflammation, and prevent further necrosis of hepatocyte [31]. Therefore, early application of MP therapy can suppress immune response. The inhibition of systemic inflammation improves the survival rate and delays rapid progression of patients with ACLF. Previously, we demonstrated MP improved the 28-day survival rate in HBV-ACLF [14]. Meanwhile, our previous evidence suggested strongly that the higher myeloid DC (mDC) numbers at baseline and the recovery of mDC number at the end of treatment may be a prognostic marker for favorable response to MP treatment in ACLF patients. The dosage MP used in previous studies is about 1 mg/kg/day and the duration is about 3 days to 10 days [32, 33]. However, those studies were small in sample size, uncontrolled, and heterogeneous in the treatment. In our multi-center, prospective randomized controlled clinical trial, sample size is much larger than others. Meanwhile, some retrospective studies have shown that the initial dose of MP (1 mg/kg/day) did not increase adverse events or mortality [34–36]. Therefore, in order to increase the decline of the mDCs counts and make sure the recovery of mDCs at the end of treatment, we further increased the dosage of MP treatment, with initial dosage of MP increasing to 1.5 mg/kg/day, so as to get a stronger immunosuppressive effect at the early stage and further improve the prognosis of patients. It was observed that MP significantly decreased 6-month mortality of HBV-ACLF compared to control group (32.4% vs. 42.5%).
Mortality attributed to infection was similar across groups. Most of the adverse events in this trial were liver related. However, MP increases the incidence of fungal infection, hypoalbuminemia, and ascites. This may be related to its activation of the renin-angiotensin system and suppression of the immune response [36].
It was reported that corticosteroids may enhance HBV replication [37]. However, in our study, none of the patients on short course of MP exhibited increased HBV-DNA, consistent with Zhang and Fujiwara’s studies [32, 33]. MP improves liver function, possibly by preventing endotoxin-induced secondary liver injury [38], inhibiting circulating toxic substances [39], and improving the functions of remaining hepatocytes [40].
The efficacy of MP treatment is also primarily associated with the timing of MP administration [28]. In this study, due to long duration for primary care in other hospital, the patients were not timely transferred to our centers; the median time of onset for ACLF was 16 days in the MP group whereas it was 20 days in the control group. Therefore, we failed to find the significance of onset time to guide early MP therapy. It is a limitation for our study. More studies should be proceeded to explore this issue in the future. Meanwhile, age and MELD score are not well balanced between the two groups (P = 0.121; P = 0.132) and it should be quoted as a limitation. Therefore, we further did propensity score matching analysis on age and MELD score to assess the baselines. It showed that Methylprednisolone group (83) could all fuzzy matched by control group (Supplementary Fig. 1).
Conclusions
In conclusion, MP therapy is an effective and safe clinical strategy in HBV-ACLF, increasing the 6-month cumulative survival rate.
Supplementary information
Acknowledgements
The authors are grateful for institutional support from Beijing You-An Hospital, Beijing Di Tan Hospital, and People’s Liberation Army No. 302 Hospital, Beijing, China. All authors have no conflicts of interest to disclose.
Abbreviations
- ADV
Adefovir
- AE
Acute exacerbation
- AFP
Alpha-fatal protein
- ALT
Alanine aminotransferase
- AST
Aspartate aminotransferase
- CHB
Chronic hepatitis B
- ETV
Entecavir
- HBV
Hepatitis B virus
- HBV-ACLF
HBV-related acute-on-chronic liver failure
- HBeAg
Hepatitis B virus e antigen
- HBsAg
Hepatitis B virus surface antigen
- HE
Hepatic encephalopathy
- HRS
Hepatorenal syndrome
- INR
International normalized ratio
- LAM
Lamivudine
- LdT
Telbivudine
- LMR
Lymphocyte to monocyte ratio
- MELD
Model for end-stage liver disease
- MP
Methylprednisolone
- NAs
Nucleoside analogs
- NH3
Blood ammonia
- PT
Prothrombin time
- PTA
Prothrombin activity
- SBP
Spontaneous bacterial peritonitis
- TDF
Tenofovir
Authors’ contributions
Lin Jia: acquisition, analysis and interpretation of data, drafting the manuscript; Ran Xue: analysis and critical revision of the manuscript; Yueke Zhu: acquisition, analysis and interpretation of data; Juan Zhao: technical supervision; Juan Li, Wei-Ping He, Xiao-Mei Wang, Zhong-Hun Duan, Mei-Xin Ren and Hai-Xia Liu: study supervision; Hui-Chun Xing and Qing-Hua Meng: study concept and design, obtained funding, study supervision, critical revision of the manuscript for important intellectual content. All authors read and approved the final manuscript.
Funding
This work was funded by the Capital Health Research and Development of Special (2011-2018-09).
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Ethics approval and consent to participate
The research was permitted by the Ethical Committee of Beijing You-An Hospital, Capital Medical University, Beijing Di Tan Hospital Capital Medical University, and People’s Liberation Army No. 302 Hospital (No.2 [2013]). All study participants gave their written informed consent to participate in the study.
Consent for publication
Not applicable
Competing interests
No potential conflict (financial, professional, or personal) is relevant to the manuscript.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Lin Jia and Ran Xue contributed equally to this work.
Contributor Information
Hui-Chun Xing, Email: hchxing@sohu.com.
Qing-Hua Meng, Email: meng_qh@126.com.
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Data Availability Statement
All data generated or analyzed during this study are included in this published article.