Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2021 Apr 13;16(4):e0250062. doi: 10.1371/journal.pone.0250062

Vulnerability to recurrent episodes of acute decompensation/acute-on-chronic liver failure characterizes those triggered by indeterminate precipitants in patients with liver cirrhosis

Hitomi Hoshi 1, Po-sung Chu 1,*, Aya Yoshida 1, Nobuhito Taniki 1, Rei Morikawa 1, Karin Yamataka 1, Fumie Noguchi 1, Ryosuke Kasuga 1, Takaya Tabuchi 1, Hirotoshi Ebinuma 1,2, Hidetsugu Saito 1,3, Takanori Kanai 1, Nobuhiro Nakamoto 1,*
Editor: Gianfranco D Alpini4
PMCID: PMC8043384  PMID: 33848309

Abstract

Background

Acute decompensation (AD) of liver cirrhosis (LC) and subsequent acute-on-chronic liver failure (ACLF) are fatal and impair quality of life. Insufficient knowledge of the highly heterogeneous natural history of LC, including decompensation, re-compensation, and possible recurrent decompensation, hinders the development and application of novel therapeutics. Approximately 10%-50% of AD/ACLF is reported to be precipitated by any indeterminate (unidentifiable, cryptogenic, or unknown) acute insults; however, its clinical characteristics are unclear.

Methods

We conducted a single-center observational study of 2165 consecutively admitted patients with LC from January 2012 to December 2019. A total of 466 episodes of AD/ACLF in 285 patients, including their 285 first indexed AD/ACLF, were extracted for analysis. Stratified analyses of different acute precipitants, classified as indeterminate (AD/ACLFIND), bacterial infection (AD/ACLFBAC), gastrointestinal bleeding, active alcoholism, and miscellaneous, were performed.

Results

AD/ACLFIND was the leading acute precipitant (28%), followed by AD/ACLFBAC (23%). AD/ACLFIND showed better survival outcomes than AD/ACLFBAC (P = 0.03); however, hyperbilirubinemia, hyponatremia, or leukocytosis significantly and uniquely characterized subgroups of AD/ACLFIND with comparable or even worse survival outcomes than those of AD/ACLFBAC. Patients with subsequent AD/ACLF significantly tended to suffer from AD/ACLF with any organ failure in AD/ACLFIND but not in AD/ACLFBAC (P = 0.004, for trend). In competing risk analysis, patients with AD/ACLFIND were significantly more vulnerable to suffer from recurrent episodes of AD/ACLF within 180 days, compared to those triggered by other precipitants (P = 0.04).

Conclusions

AD/ACLFIND, the leading acute precipitant, also plays a role in subsequent AD/ACLF. An abruptly exacerbating, remitting, and relapsing nature of systemic inflammation underlying AD/ACLF may also be useful for risk estimation.

Introduction

Liver cirrhosis (LC), a common pathological feature and a clinical syndrome of various etiologies causing chronic and persistent liver injury is one of the most prevalent and growing disease states globally [1]. Except for liver transplantation (LT), no fundamental medical therapeutics are available for decompensated cirrhosis or end-stage liver failure. Nonetheless, insufficient knowledge of the highly heterogeneous natural history of LC, including decompensation, re-compensation, and possible recurrent decompensation, hinders the development and application of novel therapeutics [2].

In 2013, the benchmark CANONIC Study by the European Association for the Study of the Liver-Chronic Liver Failure Consortium (EASL CLIF-C) introduced the concept of analyzing each “acute decompensation (AD)” of cirrhosis, characterized end-organ insufficiency in six organ systems, and practically and clearly defined the clinical state of “acute-on-chronic liver failure (ACLF)” [3]. The close temporal relationship with proinflammatory precipitating events, along with the context of intense systemic inflammation and the association with organ failure (OF), has been emphasized as one of the three major features of ACLF [4]. However, studies from various regions of the world reported that approximately 10% to over 50% of ADs/ACLFs were precipitated by any acute insult that was “unknown”, “unidentifiable”, “cryptogenic”, or “indeterminate” [3,58]. Although studies on how an acute precipitant of AD/ACLF influences prognosis are accumulating [5,710], the clinical significance of AD/ACLF precipitated by any “indeterminate” factor is still largely unclarified.

Another yet to be resolved question is, if systemic inflammation, of either microbial origin or endogenous ones, is the true fundamental pathophysiology of ACLF developed from AD, the existence of any acute precipitant may not be necessary, and therefore, may be “unidentifiable” or “indeterminate,” for ACLF to develop. In other words, the study of the “reversibility” of AD/ACLF should be as important as how it is developed. Insightful evidence focusing on the presence of “prior AD” [3], the “prediction of subsequent higher graded ACLF” [11], or the immunological basis of “re-compensation” [12], is accumulating. Recurrence of decompensation has been observed in patients with liver cirrhosis, and the clarification of its clinical significance is awaited by many experts [1316]. However, the relationship between the “subsequent” AD/ACLF and acute “indeterminate” precipitant is still not elucidated.

In this current study, we aimed to comprehensively characterize the first indexed AD/ACLF cross-sectionally and the subsequent AD/ACLF longitudinally according to acute precipitants, in this closely followed cohort of patients with chronic liver diseases.

Materials and methods

Study participation and definitions for AD and ACLF

The institutional review board of Keio University School of Medicine (Tokyo, Japan) approved this observational study (No. 20170202) according to the guidelines of the 1975 Declaration of Helsinki (2013 revision). All study participants were adults and received standard care and treatment according to their clinical presentations. All persons gave their verbal informed consent prior to their inclusion in the study. The institutional review board waived the need for written consent for its retrospective and observational nature. All analyses were conducted retrospectively.

In this liver transplant center, 2165 consecutive admissions to our liver unit from January 2012 to December 2019 were thoroughly surveyed. AD of LC and ACLF were defined according to the EASL CLIF-C [3]. Briefly, AD was defined as the acute development of large ascites, hepatic encephalopathy, gastrointestinal hemorrhage, bacterial infection, or any combination of or status impending these. The detailed inclusion/exclusion criteria for analysis were the same as those for the CANONIC Study previously reported by Moreau et al [3]. In brief, after exclusion of admissions for planned procedures, acute liver injury, hepatocellular carcinoma (HCC) outside the Milan criteria, severe chronic extrahepatic diseases (hemodialysis for chronic kidney failure, etc.), human immunodeficiency virus infection, and advanced non-hepatic malignancies, 466 episodes of AD/ACLF in 285 patients, including their first indexed 285 episodes of AD/ACLF, were extracted for analysis (S1 Fig). Baseline characteristics at admission are presented (Table 1). Transplant-free survival (TFS) within 90 days and 180 days were the predesignated outcomes of interest.

Table 1. Background characteristics, prognostic systems, and outcomes of included study subjects.

Statistics
First indexed AD/ACLF
 N 285
 Observation durations, d 360, range 4–2900
 Sex, M: F (%) 164 (58%):121(42%)
 Age, yrs. 63, range 19–89
 HCC (within Milano) 66(23%)
Etiologies of cirrhosis
   Viral 87(31%) [HBV 19(7%); HCV 67(24%)]
   Alcoholism 93(33%)
   NASH 30(11%)
   Cholestasis 38(13%) [PBC 23(5%); PSC 14(8%); Portal hypertensive 1(0.4%)]
   Autoimmune 20(7%)
   Cryptogenic 7(2%)
   Miscellaneous 10(3%)
Types of decompensation (at admission)
   Ascites 118(41.4%)
   Hepatic encephalopathy 64(22.5%)
   GI bleeding 64(22.5%)
   Bacterial infection 57(20%)
Prognostic systems
   Child-Pugh-Turcotte score 9.9 ± 2.3
   CLIF-C Organ Failure score 7 [6–8]
   CLIF-C ACLF score 40.9 ± 8.5
   MELD score 15.0 [11.3–21.7]
   MELD-Na score 19.2 ± 9.7
   ALBI scores 0.105 [-0.515–0.903]
   ACLF OF sub-categories, 0–5 210(74%)/33(12%)/10(4%)/10(4%)/15(5%)/7(2%)
   ACLF grades, No ACLF/Gr1/Gr2/Gr3 240(84%)/22(7%)/16(6%)/7(2%)
Outcomes
   Survived without LT 126(51%)
   LT 18(7%)
   Liver-related death 96(34%)
All studied AD/ACLF
 Times 466
 ACLF grades, No ACLF/Gr1/Gr2/Gr3 363(78%)/56(12%)/32(7%)/14(3%)
 Fulfilling APASL/Japanese criteria ACLF:47%

Data are shown as median with the interquartile range within brackets, average ± standard deviation, or numbers with percentage within parenthesis.

Abbreviations: AD, acute decompensation; ACLF, acute-on-chronic liver failure; M, male; F, female; HCC, hepatocellular carcinoma; HBV, Hepatitis B virus; HCV, Hepatitis C virus; PBC, primary biliary cholangitis; PSC, primary sclerosing cholangitis; ALBI, albumin-bilirubin; MELD, Model for End-stage Liver Disease; Na, sodium; CLIF-C, Chronic Liver Failure Consortium; LT, liver transplantation; APASL, The Asian Pacific Association for the Study of the Liver.

Acute precipitant identification and etiological workup for LC

History, physical examination, laboratory evaluation inclusive of culture studies, and imaging studies were collectively evaluated for possible acute precipitants. Active alcoholism (ALC) is defined as pure alcohol intake over 40 g/day in men or over 30 g/day in women within the past 3 months. Bacterial infections were evaluated and defined as previously reported [17]. A primary fungal infection that fulfilled the definition of the updated consensus [18] as a possible acute precipitant was not identified in this analysis. GI bleeding was diagnosed clinically. The remaining miscellaneous acute precipitants, such as viral hepatitis (superimposed or acute exacerbation, used a serological screening set including hepatitis A, B, C, E, cytomegalovirus, Epstein-Barr virus, and herpes simplex virus), and invasive procedures, were also thoroughly surveyed (S2A Fig). When all workups for known causes of acute precipitating factors were negative and unidentifiable, we assumed that the AD/ACLF was precipitated by any “indeterminate” factor (AD/ACLFIND). The etiological workup for LC was illustrated in the guidelines [19]. Standard management of AD/ACLF was illustrated in the Japanese guidelines for LC [19] and international guidelines [20]. General indications for LT in Japan, including living donor or deceased donor LTs, were previously reported [21].

Definition of OF, ACLF grading, and prognostic systems

Clinical parameters at admission were used for the analysis. The definition of OF in AD/ACLF has been reported previously [22]. In brief, a simplified form of sepsis-related organ failure assessment (SOFA) score [23]-based scoring system, the CLIF-C OF score, was used to evaluate OF. The CLIF-C ACLF score was developed by combining the CLIF-C OF score and two other independent prognostic factors, age, and white blood cell (WBC) count [22]. Definitions of ACLF grading (from “no ACLF” to “ACLF grade 1–3”) and the six sub-categories of OF have been reported previously [3]. For patients classified as having “No ACLF,” CLIF-C AD scores [24] were also analyzed according to the outcome and acute precipitants. Child-Pugh-Turcotte (CPT) score, the Model for End-stage Liver Disease (MELD) score, and the MELD-sodium (MELD-Na) score, were applied. Based on literature that the albumin-bilirubin (ALBI) grade scoring system [25] is useful for liver function evaluation in patients with HCC, we also exploratively analyzed its prognostic function in AD/ACLF.

Statistical analysis

The data were analyzed using JMP15 (SAS Institute Inc., Cary, NC, USA) and are expressed as medians with interquartile ranges or as averages ± standard deviations (SDs), as appropriate. Non-parametric Kruskal-Wallis tests were used to assess differences between groups. Categorical variables were analyzed using chi-square analysis. Spearman’s correlation was used for correlation analysis. The area under the receiver operating characteristic (AUROC) analysis was performed to confirm the usefulness of various parameters for predicting the outcome and generating optimal cut-offs based on the Youden Index. The DeLong method was used to compare the differences between AUROC curves. The Kaplan-Meier analysis was used to determine the cumulative percentage of survival, and differences between groups were compared using log-rank tests. Differences between the presence of OF within episodes of AD were analyzed using the Cochran-Armitage test for trend in proportions. Competing risk estimates of cumulative incidence function for recurrence of acute decompensation (with transplantation or death without transplantation as competing events) were calculated using Gray’s test. R software (version 3.3.3) was used for competing risk analysis. The results were considered significant when P < 0.05.

Results

Clinical outcomes differed between acute precipitants of AD of cirrhosis and ACLF

The median observation duration was 360 days (range, 4–2900 days). Of the 285 patients included in the analysis of their first indexed AD/ACLF, 7% underwent LT, 34% suffered from liver-related death, 51% survived without LT, and the remaining died due to non-hepatic causes (Table 1). In Fig 1A and 1D without any identifiable acute precipitant, or in other words, precipitated by any indeterminate cause (AD/ALCFIND), was observed in 28%. This leading acute precipitant was followed by bacterial infection (23%, AD/ACLFBAC), GI bleeding (20%, AD/ACLFGIB), and active alcoholism (10%, AD/ACLFALC).

Fig 1. Acute precipitants, background etiologies, survival outcomes, and ACLF grading in the first indexed AD/ACLF.

Fig 1

(A) Acute precipitants of the first indexed AD/ACLF (as percentages). (B) Acute precipitants stratified by the etiologies of liver cirrhosis, with percentages showing AD/ACLFIND. (C) Kaplan-Meier analysis was performed for 180-day TFS stratified by acute precipitants. (D) Number of cases for transplant-free survivors (TFS) and liver transplanted /died (LT/D) stratified by acute precipitants and ACLF grading are demonstrated. *P < 0.05; **P < 0.01.

We also observed that over 40% of the episodes of AD/ACLF in patients with non‐alcoholic steatohepatitis-LC (NASH-LC) or cryptogenic LC suffered from AD/ACLFIND (Fig 1B), a significantly most prevailing acute precipitant compared to those in patients with other etiologies of LC (P = 0.018, S2B Fig). In the Kaplan-Meier analysis, for 180-day TFS, AD/ACLFBAC had a significantly poor TFS compared with AD/ACLFIND and AD/ACLFGIB (Fig 1C). We also noticed that, although EASL CLIF-C ACLF grades (No ACLF vs. grade 1–3) significantly correlated with survival outcomes in AD/ACLFBAC, they did not significantly predict survival outcomes in AD/ACLFIND or AD/ACLFGIB or AD/ACLFALC (Fig 1D).

Outcome-predicting clinical parameters and prognostic systems performed differently among acute precipitants

In Table 2 analyzing prognostic background parameters, younger age, hyperbilirubinemia, and leukocytosis characterized AD/ACLFALC; hypoalbuminemia, hyponatremia, and leukocytosis characterized AD/ACLFBAC. In S3A Fig analyzing various prognostic systems according to survival outcomes (90-day TFS), the MELD system generally performed well for differentiating TFS and liver transplanted/died (LT/D) in all four groups. In AD/ACLFIND and AD/ACLFBAC, all the prognostic systems analyzed here performed well. Generally, all prognostic systems except CPT scores significantly differentiated AD/ACLFIND and AD/ACLFBAC. Additionally, the CLIF-C AD scores significantly predicted survival outcomes in ADIND (S3B Fig). Noticeably, ALBI scores performed comparably as CLIC-C ACLF in the whole cohort, and especially well in AD/ACLFGIB (S3A Fig).

Table 2. Comparison of background parameters according to four principal acute precipitants in AD/ACLF.

1. Indeterminate 2. Bacterial infection 3. GI bleeding 4. Alcoholism P P 1. vs 2. P 1. vs 2–4
N (%) 79(28%) 64(22%) 58(20%) 29(10%) - - -
Sex, M: F (%) 48/31 39/25 32/26 17/12 0.91 1.00 0.78
Age, yrs 62[55–73] 63[51–76] 66[53–73] 54[44–61] 0.007** 0.99 0.61
T-Bil, mg/dL 1.9[1.1–4.6] 4.1[1.7–8.0] 1.4[0.9–2.9] 5.7[2.9–14.3] <0.0001*** 0.02* 0.24
Albumin, g/dL 2.70±0.56 2.50±0.54 2.80±0.52 2.8±0.67 0.026* 0.055 0.67
NH3, μg/dL 52[37–80] 45[30–53] 48[28–72] 44[29–69] 0.14 0.02* 0.34
Creatinine, mg/dL 0.9[0.7–1.4] 1.0[0.7–1.5] 0.8[0.6–1.0] 0.7[0.5–1.00] 0.056 0.46 0.80
Serum Na, mEq/L 135.8±5.7 132.7±17.9 135.6±18.4 135.5±8.6 0.0008** 0.12 0.97
PT-INR 1.34±0.57 1.42±0.55 1.33±0.92 1.52±0.35 0.77 0.42 0.31
WBC count,109/L 4.6[3.2–6.6] 7.4[4.6–11.8] 6.4[4.7–9.0] 11.6[6.2–17.6] <0.0001*** <0.0001*** <0.0001***

*P < 0.05;

**P < 0.01;

***P <0.0001. Data are shown as median with the interquartile range within brackets, average ± standard deviation, or numbers with percentage within parenthesis.

In Fig 2A analyzing the prognostic function for outcome (90-day TFS) prediction of various scoring systems, the CLIF-C OF scores tended to perform well generally and performed significantly well in AD/ACLFBAC (Fig 2C). This SOFA-based outcome-prediction system suits well in AD/ACLFBAC. However, the CLIF-C OF scores did not perform as well in AD/ACLFGIB, as CPT scores outperformed CLIF-C OF scores in this group (Fig 2D). The MELD system performed best for outcome prediction in AD/ACLFIND (Fig 2B) and AD/ACLFALC (Fig 2E).

Fig 2. Comparison of various prognostic systems for 90-day transplant-free survival stratified by acute precipitants.

Fig 2

ROC of different prognostic systems for all first indexed AD/ACLF (panel A) and those stratified by acute precipitants: Indeterminate (panel B), bacterial infection (panel C), GI bleeding (panel D), and alcoholism (panel E), are shown. AUROC are shown in tables with P-values compared by the DeLong method. *P < 0.05; **P < 0.01.

Hyperbilirubinemia, hyponatremia, and leukocytosis characterized a subgroup with poor outcomes in AD/ACLFIND

Age, total bilirubin, serum albumin, sodium levels, and WBC count were found to be significant factors that characterized different acute precipitants (Table 2). Thus, we analyzed whether these parameters, along with sex, correlated with survival outcomes (90-day TFS). Serum levels of total bilirubin and sodium, along with WBC counts, significantly predicted outcomes in AD/ACLFIND (S1 Table). In the Kaplan-Meier analysis with the cut-offs yielded by the Youden Index, we found that a subgroup of patients with AD/ACLFIND with serum total bilirubin > 4.0 mg/dL, or sodium below 135 mEq/L had a comparably poor survival outcome as that of patients with AD/ACLFBAC (Fig 3A and 3B). Another subgroup of patients with AD/ACLFIND with leukocytosis > 9.8×109/μL had a significantly poor survival outcome than that of patients with AD/ACLFBAC (Fig 3C).

Fig 3. Survival analysis for 180-day transplant-free survival in AD/ACLFIND stratified by clinical parameters.

Fig 3

Survival analysis by the Kaplan-Meier method of patients with their first indexed AD/ACLF induced by any indeterminate factors (AD/ACLFIND) stratified by levels of serum total bilirubin (panel A), serum sodium (panel B), and white blood cell counts (panel C) are shown. The survival curves of AD/ACLFBAC are also demonstrated for comparison. P-values analyzed by log-rank tests are shown. *P < 0.05; **P < 0.01; ***P < 0.0001.

In patients with AD/ACLFIND, serum levels of total bilirubin and sodium and WBC counts significantly correlated with one another (S4A Fig) but not in patients with other precipitants (S4B–S4D Fig). This mutually correlating relationship between these three clinical parameters (total bilirubin, Na, and WBC) seemed to be exclusive in AD/ACLFIND, with less prominent tendencies observed in the whole cohort (S4E Fig). Significant correlation between serum Na or WBC count and various prognostic scoring systems was prominently observed in AD/ACLFIND (Table 3).

Table 3. Statistics of Spearman’s correlation between serum sodium/white blood cell count and prognostic systems.

R
P-value
1. Indeterminate 2. Bacterial infection 3. GI Bleeding 4. Alcoholism
Na WBC Na WBC Na WBC Na WBC
CPT -0.41
0.0002**
0.40
0.0003**
--
0.25
--
0.36
--
0.56
0.48
0.0001**
--
0.22
--
0.38
CLIF-C OF -0.32
0.0040**
0.34
0.0020**
--
0.57
--
0.36
--
0.07
0.46
0.0003**
--
0.83
--
0.90
CLIF-C ACLF --
0.43
Omitted --
0.89
Omitted --
0.12
Omitted --
0.59
Omitted
MELD -0.45
<0.0001***
0.53
<0.0001***
--
0.18
--
0.22
--
0.67
0.36
0.0059**
--
0.52
--
0.42
MELD-Na Omitted 0.52
<0.0001***
Omitted --
0.07
Omitted 0.35
0.0067**
Omitted --
0.79
ALBI -0.51
<0.0001***
0.48
<0.0001***
--
0.49
--
0.39
--
0.46
0.39
0.0022**
--
0.54
--
0.08

†Analyses are omitted when the prognostic system contains the same factor for correlation.

*P < 0.05;

**P < 0.01;

***P < 0.0001.

Indeterminate acute precipitants still play influential roles in patients suffering from subsequent AD/ACLF

Ninety-nine patients (37.4%) who survived and were discharged after the first indexed AD/ACLF suffered again from AD/ACLF (S2C Fig). We called this phenomenon “re-acute decompensation (re-AD).” We noticed that approximately 30% of subsequent ADs/ACLFs were precipitated by any indeterminate acute factors (Fig 4A). A significant trend of higher percentages of complications of any OF was noticed in subsequent AD/ACLFIND, compared with that in subsequent AD/ACLFBAC (P = 0.004, Fig 4B). As the competing risk estimates of cumulative incidence function for re-AD (with transplantation or death without transplantation as competing events) were analyzed between patients with AD/ACLFIND and AD/ACLFBAC/GIB/ALC within 180 days, patients with AD/ACLFIND significantly suffered from higher risk of re-AD than those without (P = 0.04; Fig 4C). Patients with AD/ACLFIND in the first indexed AD/ACLF who suffered from re-AD within 90 days were likely to suffer from subsequent AD/ACLF with a higher degree of OF than those with AD/ACLFBAC in the first indexed AD/ACLF (P = 0.08; Fig 4D).

Fig 4. Subsequent re-acute decompensation (re-AD) and AD/ACLFIND.

Fig 4

After the first AD/ACLF, the number of subsequent episodes of AD/ACLF was observed. (A) Numbers of cases of acute precipitants are shown in each episode of AD/ACLF separately, with percentages showing AD/ACLFIND. (B) Number of cases and percentages complicated with OF or not are shown in each episode of AD/ACLF separately, comparing AD/ACLF IND and AD/ACLFBAC (left). (C) Competing risk estimates of cumulative incidence function for re-AD (with transplantation or death without transplantation as competing risks) within 180 days are shown. (D) The number of cases and percentages of sub-categories of OFs of the second AD/ACLF are shown by the acute precipitant of their first indexed AD/ACLF. *P < 0.05; **P < 0.01. ns, not significant.

Discussion

In this study, the following points have been demonstrated. Approximately 30% of the first indexed AD/ACLF was caused by any indeterminate acute precipitant, the leading cause among acute precipitants. Among the first indexed AD/ACLF, AD/ACLFIND had better survival outcomes than AD/ACLFBAC. Hyperbilirubinemia, hyponatremia, or leukocytosis significantly and uniquely characterized subgroups of AD/ACLFIND that had comparable or even worse survival outcomes than those of AD/ACLFBAC. Patients with their second and subsequent AD/ACLF had a significantly higher tendency to suffer from AD/ACLF with any OF in AD/ACLFIND but not in AD/ACLFBAC. Patients with AD/ACLFIND were significantly more vulnerable to suffer from recurrent AD/ACLF within 180 days, compared to those triggered by other precipitants. The strengths and novelties of this study lie in: (i) comprehensively characterizing, for the first time, the clinical features of AD/ACLFIND; (ii) adopting the widely applied inclusion criteria and definition as CANONIC Study [3], by which analyzing AD/ACLF as a sequential continuum of a dynamic disease state was conceptualized; (iii) conducting the study with a longer observation duration than CANONIC Study [3] (8 months vs 8 years), which made the longitudinal analyses of re-compensation/re- acute decompensation possible.

Reviews [13,14] and expert opinions [15,16] focusing on the importance of clarifying acute precipitants in AD/ACLF are accumulating. ACLF precipitated by cryptogenic insults demonstrated poor survival in an Indian study [7]. Several recent analyses also showed inferior survival in ACLFBAC [9,10,26]. Additionally, in a recent report from the “PREDICT” study that focused on precipitating events in AD/ACLF, AD/ACLF triggered by indeterminate precipitant demonstrated significantly better 90-day TFS compared to those triggered by one or two precipitants or more, as bacterial infection and active alcoholism being the leading precipitants [8]. It is interesting that in the competing risk analysis regarding transplant-free survival and re-AD, we really observed a survival predominance around day 70〜100, but it disappeared around day 120〜180 (Fig 4C), which implicated a possible acute exacerbating, remitting, and relapsing nature of AD/ACLFIND. We also demonstrated that prognostic scoring system may perform differently according to the acute precipitants (Fig 2). In addition, since high-grade ACLF significantly shows survival inferiority to AD-No ACLF or ACLF grade 1, especially in short-term (28-day) survival, ACLF grading itself may not be as prognostic when 90-day or 180-day TFS is to be concerned, as we showed in Fig 1D. The possibility of “re-AD” may also contribute to this discrepancy. In addition, a patient with AD-No ACLF at admission may as well present unfavorable clinical course as 90-day mortality is concerned, a fact that was reported in the follow-up analysis of the CANONIC Study [24] and a first report from the PREDICT Study [27]. This is also one of the rationales that we pooled both AD-No ACLF and ACLF (assessed at admission) for analysis. After exclusion of cases of AD-No ACLF with CLIF-C AD scores below 45, we still observe a tendency that AD/ACLFBAC has the worst survival outcome, followed by AD/ACLFIND (S5 Fig).

When we took AD/ACLFBAC, the well-known group with the worst survival outcome as a control, we noticed that patients with AD/ACLFIND shared similar profiles at admission (Table 2). However, the mutually correlating features among serum total bilirubin and sodium and WBC count also differed prominently between patients with AD/ACLFIND and AD/ACLFBAC (S4 Fig). Hyperbilirubinemia, as its importance has been emphasized in an observation revealing that grade 1 ACLF is a predictor of subsequent grade 3 ACLF [11], might implicate the baseline status of hepatic insufficiency (as is cooperated into the SOFA-based CLIF-C OF scores), while hyponatremia might be a surrogate marker for the “peripheral arterial vasodilation” [28]; and leukocytosis might be a surrogate marker for systemic inflammation resulting from bacterial translocation [3,4]. Prognostic correlations are also exclusively presented in AD/ACLFIND (Table 3). This might imply that the characteristic endogenous clinical traits (hyperbilirubinemia, hyponatremia, or leukocytosis) for patients with AD/ACLFIND with a poor prognosis may also play a role in providing sufficient components for an acute precipitant to induce AD and subsequent OFs that characterize the state of ACLF.

Another implicative result demonstrated by this study is the distinct clinical feature of AD/ACLFIND in subsequent episodes of re-AD (Fig 4). Few previous reports have described the clinical features of re-AD, and some of them seem conflicting [3,11]. It is not easy to compare AD/ACLF with or without prior episodes of AD in a cross-sectional observation such as CANONIC Study. Since only survivors of the previous AD/ACLF can suffer from a possible subsequent AD/ACLF, such a baseline survival bias should be considered. As we expanded the observation duration to 180 days and treated transplantation/death as competing events, the vulnerability to suffer from re-AD in patients with AD/ACLFIND was also demonstrated (Fig 4C). This result is similar to that reported by Mahmud et al. who demonstrated grade 1 ACLF is a predictor of subsequent grade 3 ACLF with a large-scale 8-year observation [11]. Mahmud et al. also revealed that decompensation presenting as ascites or hepatic encephalopathy is especially prone to subsequent high-grade ACLF [11]. Ascites and hepatic encephalopathy are two most prevalent types of AD in both this current study (Table 1) and in the CANONIC Study [3]. Furthermore, if AD/ACLFIND implicates sudden endogenous disruption of systemic inflammation, the return to novel homeostasis may be the pathophysiology of “re-compensation,” and, of course, possible subsequent re-AD. Recently, with the analysis of human circulating interleukins and confirmation by an animal model, Monteiro et al. reported a differential inflammasome activation predisposing to compensated LC (IL-1α dominance) and re-compensated AD/ACLF (IL-1β dominance) [12]. Another inspiring study of blood metabolomics of patients with AD/ACLF demonstrated similarities of the blood metabolite fingerprint, particularly of pathways inhibiting mitochondrial energy production, between patients with ACLF related to bacterial infection or not [29]. This result may implicate mechanistic similarities in both AD/ACLFBAC and AD/ACLFIND. Whether and how immunological features and metabolic adaptation characterize AD/ACLFIND are still fields of uncertainty where further evaluation is required.

A major limitation of this study was its single-center observational design, which may limit the power of the explanation of results. Small number of cases might cause selection bias; however, this risk was minimized by the inclusion of all consecutive eligible patients during observation. Patients with AD/ACLF vary in etiologies of the background of chronic liver diseases and frequencies of various acute precipitants geographically. In this study conducted in Japan, we noticed some shared similarities in these background features with those in studies from European countries [3] and North America [9]. Still, a cautious generalization of our results is suggested. We also noticed some gaps of the prevalence of indeterminate acute precipitant between our study (28%) and others (for example, 58.9% in AD-No ACLF and 43.6% in ACLF in the CANONIC Study [3]; 61.81% in AD-No ACLF and 29.21% in ACLF in the PREDICT Study [8]). However, in a retrospective analysis from China, the prevalence of indeterminate acute precipitant in ACLF was 20.4% [5], which was quite near to our current study. Besides regional or geographical differences, the design of study may also contribute to these variations in prevalence.

In conclusion, AD/ACLFIND, the leading acute precipitant of first indexed AD/ACLF in LC, also plays a substantial role in the second or subsequent episodes of AD/ACLF. Clinical features such as hyperbilirubinemia, hyponatremia, or leukocytosis, significantly characterize more devastating subgroups of AD/ACLFIND and might implicate an abruptly exacerbating, remitting, and relapsing nature of systemic inflammation in specified patients with LC. More relentless efforts to “know the unknown” should help in developing new targets for prevention and risk stratification, predicting outcome, reasonably applying existing treatment and novel therapeutics for decompensation of LC and ACLF.

Supporting information

S1 Checklist. STROBE statement—checklist of items that should be included in reports of cohort studies.

(DOCX)

S1 Fig. Inclusion flow of study subjects.

Abbreviations: AD, acute decompensation; RFA, radiofrequency ablation; TACE, transcatheter arterial chemoembolization; EVL, endoscopic variceal ligation; HIV, human immunodeficiency virus; HCC, hepatocellular carcinoma.

(TIFF)

S2 Fig

(A) Number of cases and details of miscellaneous causes of acute precipitants for the first indexed AD/ACLF are shown. (B) Percentages of AD/ACLF caused by any indeterminate factor or others were compared by etiologies of LC (NASH and cryptogenic vs others). *P < 0.05. (C) Number of cases from the first to the tenth AD/ACLF observed in the study subjects during the observation period. Abbreviations: AD, acute decompensation; ACLF, acute-on-chronic liver failure; LC, liver cirrhosis; NASH, non-alcoholic steatohepatitis; GI, gastrointestinal; HBV, hepatitis B virus.

(TIFF)

S3 Fig. Prognostic systems stratified by acute precipitants and outcomes.

(A) For the first indexed AD/ACLF, various prognostic systems are compared by acute precipitants and outcomes. (B) For the first indexed AD (excluding ACLF grade 1–3), CLIF-C AD scores are compared by acute precipitants and outcomes. Open circles, transplant-free survival; open triangles, liver transplanted/died. P-values within paratheses are for comparison of all patients between indeterminate and bacterial infections. Data shown as median with interquartile ranges. *P < 0.05; **P < 0.01; ***P <0.0001. ns, not significant. Abbreviations: AD, acute decompensation; ACLF, acute-on-chronic liver failure; IND, indeterminate; BAC, bacterial infection; GIB, gastrointestinal bleeding; ALC, active alcoholism; CPT, Child-Pugh-Turcotte score; MELD, Model for End-stage Liver Disease score; MELD-Na, Model for End-stage Liver Disease-Sodium; CLIF-C, Chronic Liver Failure Consortium; OF, organ failure; ALBI, albumin-bilirubin grade.

(TIFF)

S4 Fig. Correlation analyses of serum levels of total bilirubin and sodium and white blood cell counts in various acute precipitants.

Spearman’s correlation analysis of clinical parameters in patients with their first indexed AD/ACLF stratified acute precipitants: Indeterminate (panel A), bacterial infection (panel B), gastrointestinal bleeding (panel C), alcoholism (panel D), and the whole cohort (panel E), are shown. Correlation coefficients (R) are shown if statistically significant. Open circles, transplant-free survival; shaded squares, liver transplanted/died. Units: T-bil, in mg/dL; Na, in mEq/L; WBC, in x109/L. *P < 0.05; **P < 0.01. Abbreviations: T-bil, total bilirubin; WBC, white blood cell; AD, acute decompensation; ACLF, acute-on-chronic liver failure.

(TIFF)

S5 Fig. 180-day transplant-free survival of patients with AD-No ACLF of CLIF-C AD scores over 45 and patients with ACLF grade 1–3.

(TIFF)

S1 Table. Statistical significance and AUROC of clinical parameters as possible predictors for 90-day transplant-free survival.

(DOCX)

Abbreviations

ACLF

Acute-on-chronic liver failure

AD

acute decompensation

ALBI

albumin-bilirubin

ALC

active alcoholism

APASL

the Asian Pacific Association for the Study of the Liver

BAC

bacterial infection

CANONIC

Chronic liver failure Acute-on-Chronic Liver Failure in Cirrhosis

CLIF-C

Chronic Liver Failure Consortium

CPT

Child-Pugh-Turcotte

EASL

the European Association for the Study of the Liver

GI

gastrointestinal

HCC

hepatocellular carcinoma

IND

indeterminate

LC

liver cirrhosis

LT

liver transplantation

LT/D

liver transplanted or died

MELD

Model for End-stage Liver Disease

MELD-Na

MELD-sodium

NACSELD

North American Consortium for the Study of End-Stage Liver Disease

OF

organ failure

PT-INR

prothrombin time-international normalized ratio

SOFA

sepsis-related organ failure assessment

TFS

transplant-free survival

WBC

white blood cell

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was supported in part by grants-in-aid for Scientific Research (KAKENHI Grant Numbers 19K17502 to P. Chu) from the Japan Society for the Promotion of Science. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Disease GBD, Injury I, Prevalence C. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1789–858. Epub 2018/11/30. 10.1016/S0140-6736(18)32279-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Lee YA, Wallace MC, Friedman SL. Pathobiology of liver fibrosis: a translational success story. Gut. 2015;64(5):830–41. Epub 2015/02/15. 10.1136/gutjnl-2014-306842 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Moreau R, Jalan R, Gines P, Pavesi M, Angeli P, Cordoba J, et al. Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis. Gastroenterology. 2013;144(7):1426–37, 37 e1-9. Epub 2013/03/12. 10.1053/j.gastro.2013.02.042 . [DOI] [PubMed] [Google Scholar]
  • 4.Arroyo V, Moreau R, Jalan R. Acute-on-Chronic Liver Failure. N Engl J Med. 2020;382(22):2137–45. Epub 2020/05/28. 10.1056/NEJMra1914900 . [DOI] [PubMed] [Google Scholar]
  • 5.Shi Y, Yang Y, Hu Y, Wu W, Yang Q, Zheng M, et al. Acute-on-chronic liver failure precipitated by hepatic injury is distinct from that precipitated by extrahepatic insults. Hepatology. 2015;62(1):232–42. Epub 2015/03/25. 10.1002/hep.27795 . [DOI] [PubMed] [Google Scholar]
  • 6.Nakayama N, Uemura H, Uchida Y, Tomiya T, Ido A, Inoue K, et al. A multicenter pilot survey to clarify the clinical features of patients with acute-on-chronic liver failure in Japan. Hepatol Res. 2018;48(4):303–12. Epub 2018/01/18. 10.1111/hepr.13064 . [DOI] [PubMed] [Google Scholar]
  • 7.Shalimar, Kedia S, Mahapatra SJ, Nayak B, Gunjan D, Thakur B, et al. Severity and Outcome of Acute-on-Chronic Liver Failure is Dependent on the Etiology of Acute Hepatic Insults: Analysis of 368 Patients. J Clin Gastroenterol. 2017;51(8):734–41. Epub 2017/03/16. 10.1097/MCG.0000000000000823 . [DOI] [PubMed] [Google Scholar]
  • 8.Trebicka J, Fernandez J, Papp M, Caraceni P, Laleman W, Gambino C, et al. PREDICT identifies precipitating events associated with the clinical course of acutely decompensated cirrhosis. J Hepatol. 2020. Epub 2020/11/24. 10.1016/j.jhep.2020.11.019 . [DOI] [PubMed] [Google Scholar]
  • 9.O’Leary JG, Reddy KR, Garcia-Tsao G, Biggins SW, Wong F, Fallon MB, et al. NACSELD acute-on-chronic liver failure (NACSELD-ACLF) score predicts 30-day survival in hospitalized patients with cirrhosis. Hepatology. 2018;67(6):2367–74. Epub 2018/01/10. 10.1002/hep.29773 . [DOI] [PubMed] [Google Scholar]
  • 10.Mucke MM, Rumyantseva T, Mucke VT, Schwarzkopf K, Joshi S, Kempf VAJ, et al. Bacterial infection-triggered acute-on-chronic liver failure is associated with increased mortality. Liver Int. 2018;38(4):645–53. Epub 2017/08/31. 10.1111/liv.13568 . [DOI] [PubMed] [Google Scholar]
  • 11.Mahmud N, Sundaram V, Kaplan DE, Taddei TH, Goldberg DS. Grade 1 Acute on Chronic Liver Failure Is a Predictor for Subsequent Grade 3 Failure. Hepatology. 2020;72(1):230–9. Epub 2019/11/05. 10.1002/hep.31012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Monteiro S, Grandt J, Uschner FE, Kimer N, Madsen JL, Schierwagen R, et al. Differential inflammasome activation predisposes to acute-on-chronic liver failure in human and experimental cirrhosis with and without previous decompensation. Gut. 2020. Epub 2020/04/04. 10.1136/gutjnl-2019-320170 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hernaez R, Sola E, Moreau R, Gines P. Acute-on-chronic liver failure: an update. Gut. 2017;66(3):541–53. Epub 2017/01/06. 10.1136/gutjnl-2016-312670 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Cullaro G, Sharma R, Trebicka J, Cardenas A, Verna EC. Precipitants of Acute-on-Chronic Liver Failure: An Opportunity for Preventative Measures to Improve Outcomes. Liver Transpl. 2020;26(2):283–93. Epub 2019/11/13. 10.1002/lt.25678 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kumar K, Kulkarni A. Acute-on-Chronic Liver Failure. N Engl J Med. 2020;383(9):892–3. Epub 2020/08/28. 10.1056/NEJMc2023198 . [DOI] [PubMed] [Google Scholar]
  • 16.Roy A, Taneja S. Type of organ failure and acute insult have important bearings in outcomes of liver transplantation: A pragmatic discourse. J Hepatol. 2019;70(3):548–9. Epub 2018/11/08. 10.1016/j.jhep.2018.09.010 . [DOI] [PubMed] [Google Scholar]
  • 17.Fernandez J, Acevedo J, Wiest R, Gustot T, Amoros A, Deulofeu C, et al. Bacterial and fungal infections in acute-on-chronic liver failure: prevalence, characteristics and impact on prognosis. Gut. 2018;67(10):1870–80. Epub 2017/08/30. 10.1136/gutjnl-2017-314240 . [DOI] [PubMed] [Google Scholar]
  • 18.Donnelly JP, Chen SC, Kauffman CA, Steinbach WJ, Baddley JW, Verweij PE, et al. Revision and Update of the Consensus Definitions of Invasive Fungal Disease From the European Organization for Research and Treatment of Cancer and the Mycoses Study Group Education and Research Consortium. Clin Infect Dis. 2020;71(6):1367–76. Epub 2019/12/06. 10.1093/cid/ciz1008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Fukui H, Saito H, Ueno Y, Uto H, Obara K, Sakaida I, et al. Evidence-based clinical practice guidelines for liver cirrhosis 2015. J Gastroenterol. 2016;51(7):629–50. Epub 2016/06/02. 10.1007/s00535-016-1216-y . [DOI] [PubMed] [Google Scholar]
  • 20.European Association for the Study of the Liver. Electronic address eee, European Association for the Study of the L. EASL Clinical Practice Guidelines for the management of patients with decompensated cirrhosis. J Hepatol. 2018;69(2):406–60. Epub 2018/04/15. 10.1016/j.jhep.2018.03.024 . [DOI] [PubMed] [Google Scholar]
  • 21.Umeshita K, Eguchi S, Egawa H, Haga H, Kasahara M, Kokudo N, et al. Liver transplantation in Japan: Registry by the Japanese Liver Transplantation Society. Hepatol Res. 2019;49(9):964–80. Epub 2019/05/14. 10.1111/hepr.13364 . [DOI] [PubMed] [Google Scholar]
  • 22.Jalan R, Saliba F, Pavesi M, Amoros A, Moreau R, Gines P, et al. Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. J Hepatol. 2014;61(5):1038–47. Epub 2014/06/21. 10.1016/j.jhep.2014.06.012 . [DOI] [PubMed] [Google Scholar]
  • 23.Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22(7):707–10. Epub 1996/07/01. 10.1007/BF01709751 . [DOI] [PubMed] [Google Scholar]
  • 24.Jalan R, Pavesi M, Saliba F, Amoros A, Fernandez J, Holland-Fischer P, et al. The CLIF Consortium Acute Decompensation score (CLIF-C ADs) for prognosis of hospitalised cirrhotic patients without acute-on-chronic liver failure. J Hepatol. 2015;62(4):831–40. Epub 2014/12/03. 10.1016/j.jhep.2014.11.012 . [DOI] [PubMed] [Google Scholar]
  • 25.Johnson PJ, Berhane S, Kagebayashi C, Satomura S, Teng M, Reeves HL, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade. J Clin Oncol. 2015;33(6):550–8. Epub 2014/12/17. 10.1200/JCO.2014.57.9151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bajaj JS, O’Leary JG, Reddy KR, Wong F, Biggins SW, Patton H, et al. Survival in infection-related acute-on-chronic liver failure is defined by extrahepatic organ failures. Hepatology. 2014;60(1):250–6. Epub 2014/03/29. 10.1002/hep.27077 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Trebicka J, Fernandez J, Papp M, Caraceni P, Laleman W, Gambino C, et al. The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology. J Hepatol. 2020;73(4):842–54. Epub 2020/07/17. 10.1016/j.jhep.2020.06.013 . [DOI] [PubMed] [Google Scholar]
  • 28.Bernardi M, Moreau R, Angeli P, Schnabl B, Arroyo V. Mechanisms of decompensation and organ failure in cirrhosis: From peripheral arterial vasodilation to systemic inflammation hypothesis. J Hepatol. 2015;63(5):1272–84. Epub 2015/07/21. 10.1016/j.jhep.2015.07.004 . [DOI] [PubMed] [Google Scholar]
  • 29.Moreau R, Claria J, Aguilar F, Fenaille F, Lozano JJ, Junot C, et al. Blood metabolomics uncovers inflammation-associated mitochondrial dysfunction as a potential mechanism underlying ACLF. J Hepatol. 2020;72(4):688–701. Epub 2019/11/30. 10.1016/j.jhep.2019.11.009 . [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Gianfranco D Alpini

5 Mar 2021

PONE-D-21-05271

Vulnerability to recurrent episodes of acute decompensation/ acute-on-chronic liver failure characterizes those triggered by indeterminate precipitants in patients with liver cirrhosis

PLOS ONE

Dear Dr. Po-sung Chu,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript within 60 days. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Gianfranco D. Alpini

Academic Editor

PLOS ONE

Journal requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. The local institutional review board approved this observational study (No. 20170202) according to the guidelines of the 1975 Declaration of Helsinki (2013 revision). All study participants were adults and received standard care and treatment according to their clinical presentations. All persons gave their verbal informed consent prior to their inclusion in the study. The local institutional review board waived the need for written consent for its retrospective and observational nature.".   

Please amend your current ethics statement to include the full name of the ethics committee/institutional review board(s) that approved your specific study.

Once you have amended this/these statement(s) in the Methods section of the manuscript, please add the same text to the “Ethics Statement” field of the submission form (via “Edit Submission”).

For additional information about PLOS ONE ethical requirements for human subjects research, please refer to http://journals.plos.org/plosone/s/submission-guidelines#loc-human-subjects-research.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: No

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Hoshi H and co authors in the current paper examined cirrhotic patients outcome as a function of recurrent episodes of acute decompensation (AD) and/or acute on chronic liver failure (ACLF). From their data the authors conclude that AD/ACLF of indeterminate origin: i) accounted for the most of the cases (28%); ii) had a better survival; iii) exposed patients to an increased incidence of AD/ACLF recurrence during time.

This study raises the following comments:

1) The authors pooled together the data coming from AD patient and patients with ACLF. I do not think this should be considered correct. In fact as observed in the CANONIC study several statistical differences exist between these two groups. Moreover, also changes occur among different ACLF grades. Since this research mainly includes patients with no ACLF (83% of cases) I would suggest the author to restrict their analysis and conclusions on these subjects.

2) The prevalence of an indeterminate cause for decompensation was higher in the CANONIC study (58.9% no ACLF, 43.6% ACLF) in comparison with what observed by the authors (28% pooled). This finding however was not commented or explained in the discussion. Please comment

3) I suspect that the episodes of AD/ACLFIND observed by the authors mainly include cases of ascites and encephalopathy (data on this point should be reported). In this case the results observed by the authors would be probably more dependent to the prevalence of these complications (that typically have an abrupt onset, an unclear trigger, frequent recurrence and reduced mortality) in this group, rather than the occult origin of decompensation. Please comment and report data.

Minor

Figures need to be improved

Reviewer #2: Chu et al conducted a single-center observational study, in which a total of 466 events of AD/ACLF in 285 patients, including their 285 first indexed AD/ACLF were analyzed to characterize the AD/ACLF that precipitated by “Indeterminate” factors. By stratified analysis of different acute precipitants, they demonstrated that the patients with AD/ACLFIND are more vulnerable to suffer from subsequent AD/ACLF and tended to developed AD/ACLF associated organ failure when compared to the AD/ACLF induced by other precipitants such as bacterial infection (AD/ACLFBAC), gastrointestinal bleeding, and active alcoholism et al. One of the major meaningful messages from this study could be that the clinicians may need apply different prognostic systems to predict the outcome of the AD/ACLF that triggered by different etiology.

The authors noticed that, although EASL CLIF-C ACLF grades (No ACLF vs. grade 1-3) significantly correlated with survival outcomes in AD/ACLFBAC, they did not significantly predict survival outcomes in AD/ACLFIND or AD/ACLFGIB or AD/ACLFALC (Fig1D).

Could the authors further deliberated the cause of it? How about using other model such as MELD.

In table 3, the patients with AD/ACLFBAC were associated with both leukocytosis (WBC count 7.4[4.6-11.8]) and hyperbilirubinemia (4.1[1.7-8.0]). However, in FigS4B, the Spearman’s correlation analysis of serum level of total bilirubin and white blood cell count demonstrated there is no correlation of this 2 factors with transplant-free survival and liver transplanted/dead. Is there any conflicts in at here, or with any previous publications?

Minor issue

1. Page17. line 296, “Figs 3A-B”, should be changed to “Fig 3A-B”

2. Page, Line 328, “(S2C Fig)”, should be changed “(Fig S2C)”

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2021 Apr 13;16(4):e0250062. doi: 10.1371/journal.pone.0250062.r002

Author response to Decision Letter 0


21 Mar 2021

Dear Editor and Reviewers,

Thank you for reviewing our work. We have uploaded a Word file of full responses to our valuable comments. Because our responses include insertions of graphics and tables, please refer to the uploaded Word file for details. Thank you.

Attachment

Submitted filename: Response to reviewers.docx

Decision Letter 1

Gianfranco D Alpini

31 Mar 2021

Vulnerability to recurrent episodes of acute decompensation/ acute-on-chronic liver failure characterizes those triggered by indeterminate precipitants in patients with liver cirrhosis

PONE-D-21-05271R1

Dear Dr. Po-sung Chu,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Gianfranco D. Alpini

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: (No Response)

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Acceptance letter

Gianfranco D Alpini

5 Apr 2021

PONE-D-21-05271R1

Vulnerability to recurrent episodes of acute decompensation/ acute-on-chronic liver failure characterizes those triggered by indeterminate precipitants in patients with liver cirrhosis

Dear Dr. Chu:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Gianfranco D. Alpini

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. STROBE statement—checklist of items that should be included in reports of cohort studies.

    (DOCX)

    S1 Fig. Inclusion flow of study subjects.

    Abbreviations: AD, acute decompensation; RFA, radiofrequency ablation; TACE, transcatheter arterial chemoembolization; EVL, endoscopic variceal ligation; HIV, human immunodeficiency virus; HCC, hepatocellular carcinoma.

    (TIFF)

    S2 Fig

    (A) Number of cases and details of miscellaneous causes of acute precipitants for the first indexed AD/ACLF are shown. (B) Percentages of AD/ACLF caused by any indeterminate factor or others were compared by etiologies of LC (NASH and cryptogenic vs others). *P < 0.05. (C) Number of cases from the first to the tenth AD/ACLF observed in the study subjects during the observation period. Abbreviations: AD, acute decompensation; ACLF, acute-on-chronic liver failure; LC, liver cirrhosis; NASH, non-alcoholic steatohepatitis; GI, gastrointestinal; HBV, hepatitis B virus.

    (TIFF)

    S3 Fig. Prognostic systems stratified by acute precipitants and outcomes.

    (A) For the first indexed AD/ACLF, various prognostic systems are compared by acute precipitants and outcomes. (B) For the first indexed AD (excluding ACLF grade 1–3), CLIF-C AD scores are compared by acute precipitants and outcomes. Open circles, transplant-free survival; open triangles, liver transplanted/died. P-values within paratheses are for comparison of all patients between indeterminate and bacterial infections. Data shown as median with interquartile ranges. *P < 0.05; **P < 0.01; ***P <0.0001. ns, not significant. Abbreviations: AD, acute decompensation; ACLF, acute-on-chronic liver failure; IND, indeterminate; BAC, bacterial infection; GIB, gastrointestinal bleeding; ALC, active alcoholism; CPT, Child-Pugh-Turcotte score; MELD, Model for End-stage Liver Disease score; MELD-Na, Model for End-stage Liver Disease-Sodium; CLIF-C, Chronic Liver Failure Consortium; OF, organ failure; ALBI, albumin-bilirubin grade.

    (TIFF)

    S4 Fig. Correlation analyses of serum levels of total bilirubin and sodium and white blood cell counts in various acute precipitants.

    Spearman’s correlation analysis of clinical parameters in patients with their first indexed AD/ACLF stratified acute precipitants: Indeterminate (panel A), bacterial infection (panel B), gastrointestinal bleeding (panel C), alcoholism (panel D), and the whole cohort (panel E), are shown. Correlation coefficients (R) are shown if statistically significant. Open circles, transplant-free survival; shaded squares, liver transplanted/died. Units: T-bil, in mg/dL; Na, in mEq/L; WBC, in x109/L. *P < 0.05; **P < 0.01. Abbreviations: T-bil, total bilirubin; WBC, white blood cell; AD, acute decompensation; ACLF, acute-on-chronic liver failure.

    (TIFF)

    S5 Fig. 180-day transplant-free survival of patients with AD-No ACLF of CLIF-C AD scores over 45 and patients with ACLF grade 1–3.

    (TIFF)

    S1 Table. Statistical significance and AUROC of clinical parameters as possible predictors for 90-day transplant-free survival.

    (DOCX)

    Attachment

    Submitted filename: Response to reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES