Literature DB >> 35994439

Relationship between liver dysfunction, lipoprotein concentration and mortality during sepsis.

Sébastien Tanaka1,2, Christian De Tymowski1,3,4, Jules Stern1, Donia Bouzid4,5,6, Nathalie Zappella1, Aurélie Snauwaert1, Tiphaine Robert7, Brice Lortat-Jacob1, Alexy Tran-Dinh1,4,8, Pascal Augustin1, Anne Boutten7, Parvine Tashk1, Katell Peoc'h3,4,7, Olivier Meilhac2,9, Philippe Montravers1,4,10.   

Abstract

BACKGROUND: High-density lipoproteins (HDLs) are synthesized by the liver and display endothelioprotective properties, including anti-inflammatory, antiapoptotic, antithrombotic and antioxidant effects. In both septic and chronic liver failure patients, a low HDL cholesterol (HDL-C) concentration is associated with overmortality. Whereas sepsis-associated liver dysfunction is poorly defined, the aim of this study was to characterize the relationship between liver dysfunction, lipoprotein concentrations and mortality in septic patients in the intensive care unit (ICU).
METHODS: A prospective observational study was conducted in a university hospital ICU. All consecutive patients admitted for septic shock or sepsis were included. Total cholesterol, HDL-C, low-density lipoprotein-cholesterol (LDL-C), and triglyceride levels were assessed at admission. Sepsis-associated liver dysfunction was defined as a serum bilirubin≥ 2N or aspartate aminotransferase/alanine aminotransferase concentrations ≥ 2N. Short-term and one-year prognostic outcomes were prospectively assessed.
RESULTS: A total of 219 septic patients were included, and 15% of them presented with sepsis-associated liver dysfunction at admission. Low concentrations of lipoproteins were associated with mortality at Day 28 in the overall population. Sepsis-associated liver dysfunction at admission was associated with overmortality. In this subgroup, patients had a lower HDL-C concentration than patients without hepatic dysfunction (HDL-C = 0.31 [0.25, 0.55] mmol/L vs. 0.48 [0.29, 0.73] mmol/L, p = 0.0079) but there was no relationship with the outcome. Interestingly, no correlation was observed between lipoprotein concentrations and liver dysfunction markers.
CONCLUSION: Sepsis-associated liver dysfunction at ICU admission is strongly associated with overmortality and is associated with a lower HDL-C concentration. However, in this subgroup of patients, HDL-C concentration had no relationship with mortality. Further exploratory studies are needed to better understand the interaction between lipoproteins and liver dysfunction during sepsis.

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Year:  2022        PMID: 35994439      PMCID: PMC9394828          DOI: 10.1371/journal.pone.0272352

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

High-density lipoproteins (HDLs) are characterized by their ability to transport cholesterol from peripheral tissues back to the liver, which confers a major cardiovascular protective effect [1, 2]. In addition to this function, these nanoparticles display endothelial protective properties, including anti-inflammatory, antiapoptotic, antithrombotic and antioxidant effects, and can also bind and neutralize lipopolysaccharides (LPS) [3-5]. During inflammatory states and, in particular, during sepsis, many studies have shown both a significant decrease in the concentration of HDL cholesterol (HDL-C) in connection with overmortality [6-9] and a decrease in the functionality of HDL particles [10-14]. Supplementation with functional reconstituted HDLs or mimetic peptides has been tested in animal models of sepsis, and many studies have described positive effects on morbidity and mortality [15-18]. Mechanisms underlying the decrease in the concentration of HDL-C during sepsis are poorly described [4]. Several hypotheses have been proposed, such as the consumption of HDL particles, hemodilution, capillary leakage or decreased HDL synthesis by the liver, particularly in cases of sepsis-associated liver dysfunction [5, 19, 20]. Sepsis-associated liver dysfunction is not well documented, and its definition and pathophysiology are still controversial [21, 22]. Because HDL particles are synthetized by the liver and given that the reverse cholesterol transport (RCT) process is conditioned by hepatic pathways and receptors, liver dysfunction during sepsis could have an impact on HDL particles and HDL-C concentration. Thus, the goals of the present study were: To assess sepsis-associated liver dysfunction in a cohort of septic patients in the intensive care unit (ICU), To compare lipoprotein and especially HDL-C concentration in septic patients with and without hepatic impairment at admission, and To investigate the relationship between sepsis-associated liver dysfunction—lipoprotein concentrations and the outcome.

Materials and methods

Study design

This was a prospective, observational monocentric study (HIGHSEPS cohort) conducted in the surgical ICU of Bichat-Claude Bernard University Hospital, Paris, France. The methods of this cohort have been previously published in a study involving 205 patients of the HIGHSEPS cohort [23]. All patients recruited from May 2016 to April 2020 admitted for septic shock or sepsis according to the criteria of the Surviving Sepsis Campaign were included [24]. All patients with preexisting liver disease, such as cirrhosis, fatty liver disease or liver cancer, and immunocompromised patients (acquired immune deficiency syndrome or transplant surgery) were excluded from the study. Patients with angiocholitis were also excluded from the analysis because the hepatic location of this sepsis could be a source of bias. The study was approved by the French Society of Anesthesiology and Critical Care Medicine Research Ethics Board (HIGHSEPS study, IRB number 00010254). Written informed consent was obtained from participating patients. Patient demographics, diagnosis, Simplified Acute Physiology Score II (SAPSII) and Sepsis-related Organ Failure Assessment (SOFA) severity scores [25, 26], organ supportive therapies, including renal replacement therapy and vasopressor use, and clinical data were prospectively collected. Data regarding the site of infection were gathered. Data on ICU and in-hospital mortality at 28 days (Day 28), duration of mechanical ventilation, number of days alive without mechanical ventilation at Day 28, length of stay in the ICU and hospital stay were collected. At admission, plasma concentrations of total cholesterol, HDL-C, LDL-C and triglycerides were measured. These analyses were performed in the Biochemistry Laboratory of Bichat Claude-Bernard Hospital. Total cholesterol (TC), HDL-C, TC/HDL-C ratio, LDL-C and triglyceride concentrations were determined by routine enzymatic assays (CHOL, HDLC and TRIG methods, Dimension VISTA® System, Siemens Healthineers™). The reference values for these assays were HDL-C >1.40 mmol/l, total cholesterol 4.40 < N < 5.20 mmol/l and triglycerides 0.50 < N < 1.7 mmol/l. According to the recommendations of the French National Authority for Health 2017 and the European Society of Cardiology 2016, LDL-C concentration targets have been established based on vascular risk factors [27]. The normal ranges of aspartate aminotransferase (ASAT) and alanine aminotransferase (ALAT) in our institution are [15-37] U/L and [16-63] U/L, respectively. The normal range of total bilirubin is <17 μmol/L.

Definition

To our knowledge, there is no consensual definition of sepsis-associated liver dysfunction [28]. Many authors have used very different thresholds taking into account liver enzymes, total bilirubin or both [21, 22]. However, there is no consensus, including in international recommendations. Regarding total bilirubin threshold, some values have been extrapolated from recommendations concerning the management of hepatitis or drug-induced liver disorders [29-31]. Because there is no consensus and because hepatic impairment could have both ischemic and cholestatic etiology, we then decided to define hepatic dysfunction at admission as a total bilirubin ≥ 2N (i.e ≥ 34 μmol/L) or ASAT and ALAT concentrations ≥ 2 N.

Statistical analysis

Qualitative data are expressed as absolute numbers and proportions and were compared using the chi-square test or Fisher’s exact test as appropriate. Quantitative data are expressed as medians and interquartile ranges and were compared using the Mann–Whitney or Kruskal–Wallis tests as appropriate. For Day-28 mortality discrimination, the receiver operating characteristic curve (ROC) analysis tested the best threshold values (using the Youden index) of total cholesterol (TC), HDL-C, TC/HDL-C ratio, LDL-C and triglycerides, and the area under the curve (AUC) was calculated. The Day-28 survival rate was analyzed by the Kaplan–Meier test and compared by a log rank test. To assess whether hepatic dysfunction was an independent factor of mortality, a multivariate analysis was carried out using a binary logistic regression model. Variables with nominal 2-tailed p values less than 0.1 were entered into the multivariate model, except for variables with obvious collinearity. The final models was selected using the backward stepwise regression using the AIC and the Tjur’s R2 coefficient of discrimination. All statistical analyses were performed using R software (R Core Team, 2014) figures were produced using ‘ggplot2 package’ and statistics using ‘stat package’. A p value < 0.05 was considered statistically significant.

Results

Population

Two hundred twenty-six septic patients were prospectively and consecutively included in our ICU. Finally, 219 patients were included in the study (7 cases of angiocholitis were excluded from the analysis). Thirty-three (15%) patients were admitted with sepsis-associated liver dysfunction at ICU admission. In the sepsis-associated liver dysfunction subgroup, 27 (81%) patients had a total bilirubin ≥ 2N, and 16 (48%) patients had ASAT and ALAT concentrations ≥ 2 N. Associated bacteriemia were also more numerous in sepsis-associated liver dysfunction patients (n = 14/33 (42%) vs. n = 47/186 (25%), p = 0.043). Admission SOFA and SAPSII scores were higher in patients with sepsis-associated liver dysfunction at admission (11 [9, 14] vs. 6 [4, 8], p <0.001 and 65 [56, 74] vs. 56 [40, 68], p = 0.002, respectively). Table 1 shows the general characteristics, etiology of sepsis and outcome of the patients.
Table 1

General characteristics of the population, outcome and type of sepsis, overall and according to sepsis-associated liver dysfunction.

CharacteristicOverall, N = 2191No liver dysfunction N = 186 (85%)1Liver dysfunction N = 33 (15%)1p value2
Age (years)63 [52, 72]63 [52, 73]62 [49, 70]0.557
Male117 (53)100 (54)17 (52)0.811
Septic shock166 (76)136 (73)30 (91)0.028
Associated-bacteriemia61 (28)47 (25)14 (42)0.043
Peritonitis89 (41)74 (40)15 (45)0.541
Urinary tract infections39 (18)34 (18)5 (15)0.665
Skin and soft tissue infections36 (16)31 (17)5 (15)0.829
Pleuro-pulmonary sepsis35 (16)29 (16)6 (18)0.708
Other sepsis20 (9.1)18 (9.7)2 (6.1)0.745
SAPS II at admission58 [43, 69]56 [40, 68]65 [56, 74]0.002
SOFA at admission7.0 [4.0, 10]6.0 [4.0, 8.0]11.0 [9.0, 14.0]<0.001
Cardiovascular SOFA4.0 [1.0, 4.0]4.00 [1.00, 4.00]4.00 [4.00, 4.00]0.003
Respiratory SOFA1.0 [0.0, 3.0]1.00 [0.00, 2.00]2.00 [1.00, 3.00]<0.001
Neurological SOFA0.0 [0.0, 1.0]0.00 [0.00, 1.00]0.00 [0.00, 1.00]0.137
Coagulation SOFA0.0 [0.0, 1.0]0.00 [0.00, 0.00]0.00 [0.00, 2.00]<0.001
Kidney SOFA1.0 [0.0, 3.0]1.00 [0.00, 2.00]2.00 [1.00, 4.00]<0.001
Lactate at admission2.30 [1.50, 3.50]2.20 [1.40, 3.40]2.90 [2.10, 5.40]0.005
Length of MV (days)2 [0, 8]2 [0, 6]6 [3, 8]<0.001
ICU length of stay (days)7 [3, 15]7 [3, 15]7 [4, 18]0.705
ICU mortality42 (19)30 (16)12 (36)0.007
Day-28 mortality42 (19)29 (16)13 (39)0.001
Day-90 mortality55 (25)42 (23)13 (39)0.042
One year mortality67 (32)52 (29)15 (47)0.046

Median [IQR]; n (%)

Wilcoxon rank sum test; Pearson’s chi-squared test; Fisher’s exact test

Continuous variables are expressed as the median and interquartile range (IQR) and were compared using the Mann–Whitney U test. Categorical variables are expressed as n (%) and were compared with Fisher’s exact test. ICU, intensive care unit; MV, mechanical ventilation; SAPS II: Simplified Acute Physiology Score II; SOFA: Sepsis-related Organ Failure Assessment.

Median [IQR]; n (%) Wilcoxon rank sum test; Pearson’s chi-squared test; Fisher’s exact test Continuous variables are expressed as the median and interquartile range (IQR) and were compared using the Mann–Whitney U test. Categorical variables are expressed as n (%) and were compared with Fisher’s exact test. ICU, intensive care unit; MV, mechanical ventilation; SAPS II: Simplified Acute Physiology Score II; SOFA: Sepsis-related Organ Failure Assessment.

Relationship between sepsis-associated liver dysfunction and mortality

Sepsis-associated liver dysfunction was associated with 28-day mortality (see Table 1 and the Kaplan–Meier analysis in Fig 1).
Fig 1

Kaplan–Meier estimates of survival in the 28 days after the onset of sepsis for patients according to hepatic dysfunction status.

In multivariate analysis, four factors were associated with 28-day mortality: sepsis-associated liver dysfunction, Odds-ratio (OR) = 2.44 CI [1.02, 5.75], p = 0.041; respiratory SOFA, OR = 1.40 CI [1.04, 1.90], p = 0.030; cardiovascular SOFA, OR = 1.50 CI [1.08, 2.33], p = 0.031 and age, OR = 1.03 CI [1.01, 1.06], p = 0.017.

Relationship between lipoprotein concentration and hepatic dysfunction

At ICU admission, sepsis-associated liver dysfunction patients presented a significantly lower HDL-C concentration (HDL-C = 0.31 [0.25, 0.55] mmol/L vs. 0.48 [0.29, 0.73] mmol/L, p = 0.0079). No differences were found in TC, TG and LDL-C concentrations between groups. These results are shown in Fig 2. Interestingly, TC/HDL-C ratio was significantly higher in sepsis-associated liver dysfunction patients (TC/HDL-C = 7.0 [3.4, 9.7] vs. 4.5 [3.0, 7.0], p = 0.030).
Fig 2

Comparison between total cholesterol, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol and triglyceride concentrations at admission, according to hepatic dysfunction status.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides. HD: hepatic dysfunction.

Comparison between total cholesterol, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol and triglyceride concentrations at admission, according to hepatic dysfunction status.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides. HD: hepatic dysfunction.

Relationship between lipoprotein concentrations at admission and mortality

To determine lipid and lipoprotein cutoff values to predict 28-day mortality, ROC curves were plotted, and the Youdden index was determined (S1 Fig). Fig 3 shows mortality at Day 28 as a function of total cholesterol, triglyceride, HDL-C and LDL-C concentrations. Mortality at Day 28 of patients with total cholesterol concentrations <1.94 mmol/l at admission was significantly higher (log rank test, p<0.0001). Mortality at Day 28 of patients with TG concentration levels <0.87 mmol/l at admission was significantly higher (log rank test, p = 0.0012). Mortality at Day 28 of patients with HDL-C concentration levels below 0.33 mmol/l at admission was significantly higher (log rank test, p = 0.038). Mortality at Day 28 of patients with LDL-C concentrations less than 0.73 mmol/l at admission was significantly higher (log rank test, p<0.0001).
Fig 3

Kaplan–Meier estimates of survival in the 28 days after the onset of sepsis for patients with different initial levels of lipoproteins.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides.

Kaplan–Meier estimates of survival in the 28 days after the onset of sepsis for patients with different initial levels of lipoproteins.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides. Interestingly, TC/HDL-C ratio at admission failed to discriminate patient mortality at Day 28 (chosen cut-off: TC/HDL-C = 6.5, log-rank test p = 0.59). Moreover, in the subgroup of patients without liver dysfunction at admission, TC, TG, HDL-C and LDL-C concentrations at admission could stratify patients according to mortality at Day 28 (Fig 4). Mortality at Day 28 of patients with total cholesterol concentrations <1.94 mmol/l at admission was significantly higher (log rank test, p<0.0001). Mortality at Day 28 of patients with TG concentration levels <0.87 mmol/l at admission was significantly higher (log rank test, p = 0.0013). Mortality at Day 28 of patients with LDL-C concentrations <0.73 mmol/l at admission was significantly higher (log rank test, p<0.0001). Mortality at Day 28 of patients with HDL-C concentration levels <0.33 mmol/l at admission was higher, but the difference was not statistically significant (log rank test, p = 0.056).
Fig 4

Kaplan–Meier estimates of survival in the 28 days after the onset of sepsis for patients with different initial levels of lipoproteins, according to hepatic dysfunction status.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides.

Kaplan–Meier estimates of survival in the 28 days after the onset of sepsis for patients with different initial levels of lipoproteins, according to hepatic dysfunction status.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides. Interestingly, in the subgroup of patients with hepatic dysfunction, TC, TG, HDL-C and LDL-C concentrations at admission failed to discriminate patient mortality at Day 28 (log-rank test p = 0.15, p = 0.31, p = 0.97 and p = 0.62, respectively). These results are presented in Fig 4.

Correlation between lipoprotein concentrations and hepatic dysfunction markers

Correlations between TC, TG, HDL-C, LDL-C and hepatic dysfunction markers are shown in Fig 5. Variations in lipid and lipoprotein values were mostly independent of other variations, especially of liver function tests. The only significant correlations were the association between LDL-C and total cholesterol (rho = 0.75) and triglycerides and HDL-C (rho = -0.41).
Fig 5

Correlation between lipoprotein, triglycerides, total cholesterol and hepatic markers.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides, TB: total bilirubin, ASAT: aspartate aminotransferase, ALAT: alanine aminotransferase.

Correlation between lipoprotein, triglycerides, total cholesterol and hepatic markers.

TC: total cholesterol, HDL-C: high-density lipoprotein-cholesterol, LDL: low-density lipoprotein-cholesterol, TG: triglycerides, TB: total bilirubin, ASAT: aspartate aminotransferase, ALAT: alanine aminotransferase.

Discussion

Sepsis-associated liver dysfunction is not well documented, nor is its prognosis. The definition and pathophysiology of this hepatic dysfunction also seem controversial [21, 22]. In a prospective study of 608 patients with sepsis stratified according to cholestasis at admission [32], those with cholestasis had higher severity scores and mortality than those without cholestasis. Kobashi et al. reported sepsis-associated liver dysfunction in 34.7% of the patients and distinguished 3 groups: “hepatocellular” (21.8%), “cholestatic” (48.1%) and “shock liver” (30.1%) [33]. As the incidence of sepsis-associated liver dysfunction is difficult to establish due to the lack of a homogeneous definition, we decided to base our definition of liver dysfunction both on the plasma bilirubin value and on liver enzyme concentrations. Hepatic dysfunction can be caused either by a cholestatic mechanism or by cytolysis or sometimes both. As there is no definition retained, we considered that using bilirubin value and liver enzyme concentration in the definition seemed the most rational choice. We have shown in a previous study of the HIGHSEPS cohort a strong association between lipoprotein concentrations and mortality during sepsis [23]. In this same cohort, to the best of our knowledge, this is the first study to investigate the relationship between lipoproteins and sepsis-associated liver dysfunction. The relationship between lipoproteins (especially HDL-C) and sepsis is well documented, with a significant decrease in lipoprotein concentrations during septic states [6–8, 23]. However, the mechanisms underlying the decreased HDL-C concentration during sepsis are poorly described [5, 20]. In our study, we showed that the HDL-C concentration was lower in patients with liver dysfunction than in those without liver dysfunction. This finding allows us to make a number of assertions. First, a decrease in the hepatic synthesis of HDL particles may account for this decrease. However, the absence of a difference between the two groups concerning the concentration of LDL does not support this theory because LDL particles are also produced by the liver. Second, the interaction between the decreased plasma HDL-C concentration and hepatic dysfunction may be due to an increased hepatic elimination of HDL particles in the context of bacterial sepsis. Indeed, HDL particles were shown to bind and promote lipopolysaccharide and/or bacterial clearance via the liver and subsequent bile excretion [34]. A recent study conducted by our team supports this theory [15]: after intra-abdominal injection of indium-labeled bacteria in mice, followed by an intravenous injection of reconstituted human HDL particles, the scintigraphic study showed an initial signal in the intra-abdominal region and then in the gall bladder. Finally, hepatic dysfunction could have consequences on reverse cholesterol transport (RCT) via the hepatic SRB1 receptor. This receptor allows the elimination of cholesterol by the liver and the initiation of a new cycle of RCT [35]. Thus, the hypothesis of an upregulation of SRB1 in the case of liver dysfunction could support the greater decrease in HDL-C in patients with sepsis-associated liver dysfunction relative to other septic patients. Nevertheless, this hypothesis needs confirmation. An interesting point of our study is the lack of a relationship between HDL-C concentration and mortality in patients with sepsis-associated liver dysfunction. First, the small number of patients with this dysfunction may not be sufficient to unveil a potential link with mortality. Second, although the literature is controversial regarding the link between mortality and sepsis-associated liver dysfunction, a protective effect of HDL on this dysfunction can be discussed. Indeed, sepsis leads to not only quantitative but also qualitative modifications of HDL particles, including size and structural modifications [10–12, 36]. For example, proteomic studies in inflammatory states, such as sepsis, have demonstrated major changes in the composition of these particles, particularly in inflammatory proteins, such as a replacement of apoA1 by serum amyloid A (SAA), which may have an impact on patient outcomes [37-39]. This proinflammatory shift has been shown both during bacterial sepsis and during sepsis related to COVID-19 pneumonia [40]. Given that SAA is synthesized by the liver, an alteration of the hepatic production of this protein could have consequences on the functionality of these HDL particles and, thus, could lead to a protective effect. Third, the upregulation of the RSB1 receptor can lead to greater elimination of HDL particles and thus increase the clearance of LPS (for Gram-negative bacteria) and lipoteichoic acid (for Gram-positive bacteria) and thus have an impact on the outcome. This hypothesis nevertheless deserves to be verified in pre-clinical studies. Finally, in contrast with chronic liver failure, where HDL seems to be a robust predictor of survival [41], the lack of a relationship between lipoprotein concentration and mortality in the case of sepsis-associated liver dysfunction reflects the fact that sepsis is a complex entity in which several organ dysfunctions are intertwined. Our study has several limitations. First, it was a monocentric study conducted in a surgical ICU with a majority of patients with abdominal sepsis that could increase the proportion of hepatic dysfunction. Second, because of the nature of this prospective cohort study, the number of patients necessary to reach statistical significance was not calculated a priori. Ultimately, the low proportion of hepatic dysfunction in our cohort would merit increasing the number of patients in the cohort. Third, inflammatory parameters, such as cytokines, were not analyzed in our study. Finally, in the absence of a clear consensus, we chose a definition of liver dysfunction that took into account cytolysis and cholestasis, which may be controversial and deserves to be explored in the future.

Conclusion

Sepsis-associated liver dysfunction at ICU admission is associated with overmortality at Day 28 and is associated with a lower HDL-C concentration. However, in this subgroup of hepatic dysfunction, HDL-C concentration at admission had no relationship with mortality. This study also found no correlation between lipoprotein and especially HDL-C concentration and hepatic dysfunction markers, such as ASAT, ALAT or lactate concentrations, reflecting the complexity of this sepsis-associated liver dysfunction entity. Further experimental mechanistic studies are necessary to better characterize the relationship between lipoproteins and hepatic dysfunction. It would also be interesting to look at HDL dysfunctions in patients with chronic liver disease in acute liver failure complicated by septic shock. In addition, high-powered studies are necessary to better define sepsis-associated liver dysfunction.

Total cholesterol, triglycerides, HDL-C, LDL-C ROC cutoff values to predict 28-day mortality.

ROC curves were plotted to determine lipid and lipoprotein cutoff values to predict 28-day mortality. T-cholesterol: Total cholesterol; TG: triglycerides; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol. (TIF) Click here for additional data file. (XLSX) Click here for additional data file. 1 Jun 2022
PONE-D-22-09335
Relationship between liver dysfunction and lipoprotein concentration in septic ICU patients Short-title: lipoprotein and liver during sepsis
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(Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This mono-centric and non randomized study intended to correlate, in sepsis and septic shock ICU patients,Sepsis Associated Liver Dysfunction (SALD) and lipoprotein levels ( mostly HDL-C) at admission. The influence of those two settings upon mortality was carefully studied. The aim of this study was to better understand SALD, which is frequent during severe infections, and the dynamic of HDL-C, known to be decreased during this syndrome, and related with mortality. HDL-C has multiple positive effects upon inflammation, thrombosis, apoptosis and oxydation, which are all profoundly altered during sepsis. Sepsis is still a very complex syndrome and any new data will help understanding the many mechanisms leading to it. In this respect, the study/paper proposed for publication in the journal is interesting. However, I have several serious concerns as well as minor ones. SERIOUS CONCERNS 1) One of the most important one is the poor definition of SALD in the literature, and consequently in this paper. For exemple, the HDL-C levels cut-off varie from 33 mmol/L ( which has been selected in the study, another one published in Critical Care in 2012) up to 70, or even more. It was 68,3 in the Surviving Sepsis Campaign studies.The aminiotransferase cut-off levels are more consensual ( twice N). The severity scores, like SAPS II or SOFA do not really help. In SAPS II, the bilirubin levels are used to calculate the score only in icteric patients. In the SOFA score, only bilirubin levels are considered, and, if we take the "liver part" of the score, 33mmol/L is just between score 1 and 2h. Even if we can understand that it has been a nightmare to define SALD in this study, I do think that it's definition i s somewhat arbitrary. 2) The difference in mortality between patients with or without SALD is significant in the mono-variate analysis, but there are many differences between the two groups, in particular for severity indexes ( SAPS 2, SOFA, lactate). I might be wrong, but I have nor seen the results of a multi-variate analysis demonstrating that mortality is higher in the patients with SALD. It is important to see, and to discuss that there is no difference in mortality at Day 90, and 1 year 3) The assertions presented at the beginning of the discussion, which is unusual, are not very easy to understand. The assertion 2 says that low HDL-C are correlated with mortality in patients with, or without SALD. On line 321, it is said, at the opposite, that there is no correlation between HDL-C and mortality in patients with SALD. It is said again in the conclusion, line 356. 4) The lack of correlation between lipoprotein levels and mortality noted only in SALD patients is surprising, and very interesting, at least for me. The discussion on this finding ( 336 to 339) is very poor 5) As mentioned by the authors, the number of patients with SALD is rather low, and might explain some of the strange findings. MINOR CONCERNS - May-be, you could add the word "mortality" in the title - From line 288 to 290: the text is difficult to understand - I think there are too many figures, in particular Kaplan Meir curves. - The words "septic patients" and "severe sepsis" do not exist anymore in the last consensus documents - I do think that angiocholitis patients must be exclusion cases - Line 250, I do not understand the word "slightly similar" - Reviewer #2: Metabolic abnormalities are one of the important causes of death in sepsis. The liver is an important organ of body metabolism. It is of great clinical significance to study the correlation between liver lipid metabolism and the prognosis of sepsis. The article carried out long-term follow-up of 226 sepsis patients, which is a very excellent clinical study. Main comments: The data is huge, and further data mining should be carried out. Such as: whether there is a correlation between the ratio of apolipoprotein and prognosis. ********** 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: Yes: Yin Yongjie [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. 11 Jul 2022 Dear Editor, Thank you for reviewing our manuscript entitled “Relationship between liver dysfunction and lipoprotein concentration in septic ICU patients”. We appreciate reviewers’ comments and relevant questions that will help to improve the manuscript. Please find attached a revised version of our manuscript and a point-by-point response to the reviewer comments. We hope that our manuscript will now be suitable for publication in Plos One. Reviewer #1: This mono-centric and non randomized study intended to correlate, in sepsis and septic shock ICU patients,Sepsis Associated Liver Dysfunction (SALD) and lipoprotein levels ( mostly HDL-C) at admission. The influence of those two settings upon mortality was carefully studied. The aim of this study was to better understand SALD, which is frequent during severe infections, and the dynamic of HDL-C, known to be decreased during this syndrome, and related with mortality. HDL-C has multiple positive effects upon inflammation, thrombosis, apoptosis and oxydation, which are all profoundly altered during sepsis. Sepsis is still a very complex syndrome and any new data will help understanding the many mechanisms leading to it. In this respect, the study/paper proposed for publication in the journal is interesting. However, I have several serious concerns as well as minor ones. SERIOUS CONCERNS 1) One of the most important one is the poor definition of SALD in the literature, and consequently in this paper. For exemple, the HDL-C levels cut-off varie from 33 mmol/L ( which has been selected in the study, another one published in Critical Care in 2012) up to 70, or even more. It was 68,3 in the Surviving Sepsis Campaign studies. The aminiotransferase cut-off levels are more consensual ( twice N). The severity scores, like SAPS II or SOFA do not really help. In SAPS II, the bilirubin levels are used to calculate the score only in icteric patients. In the SOFA score, only bilirubin levels are considered, and, if we take the "liver part" of the score, 33mmol/L is just between score 1 and 2h. Even if we can understand that it has been a nightmare to define SALD in this study, I do think that it's definition i s somewhat arbitrary. Thank you for this very important comment and the word nightmare is not an understatement. We agree with the reviewer, our definition may seem arbitrary, but it seemed important to us that the two mechanisms (cholestasis and cytolysis) be included together in the definition because these mechanisms are really very intricate. Furthermore, we fully understand that the choice of the bilirubin threshold is complicated in the light of the literature. Nevertheless, several authors (including us in previous studies) have extrapolated data from studies and recommendations on hepatitis or drug-induced liver disorders (Bénichou et al J of hepatology 1990 PMID: 2254635 ; De Tymowski et al. J of hepatology 2019 PMID: 31152758 ; Wendel Garcia et al Critical care 2022 PMID: 35606831). And in light of these studies, the threshold of 34 µmol/l (i.e. 2N) seems to be relevant. In this context, we decided to take this threshold into consideration in our definition. As no patient in our cohort has bilirubin between 32 and 34 µmol/l, no change was performed. We thus have modified our definition in the text and we have added additional bibliographic references: “Many authors have used very different thresholds taking into account liver enzymes, total bilirubin or both. However, there is no consensus, including in international recommendations. Regarding total bilirubin threshold, some values have been extrapolated from recommendations concerning the management of hepatitis or drug-induced liver disorders. Because there is no consensus and because hepatic impairment could have both ischemic and cholestatic etiologies, we then decided to define hepatic dysfunction at admission as a total bilirubin ≥ 2N (i.e ≥ 34 µmol/L) or ASAT and ALAT concentrations ≥ 2N”. 2) The difference in mortality between patients with or without SALD is significant in the mono-variate analysis, but there are many differences between the two groups, in particular for severity indexes ( SAPS 2, SOFA, lactate). I might be wrong, but I have nor seen the results of a multi-variate analysis demonstrating that mortality is higher in the patients with SALD. Thank you for this very important remark. To complete the analysis, we performed a multivariate analysis from the univariate analysis and thus 5 factors are associated with 28-day mortality including SALD : SALD, Odds-ratio (OR) = 2.44 CI [1.02, 5.75], p = 0.041 ; respiratory SOFA, OR = 1.40 CI [1.04, 1.90], p = 0.030 ; cardiovascular SOFA, OR = 1.50 CI [1.08, 2.33], p = 0.031 and age, OR = 1.03 CI [1.01, 1.06], p = 0.017. We added these important results in the analysis. It is important to see, and to discuss that there is no difference in mortality at Day 90, and 1 year. As requested by the reviewer, we removed angiocholitis from our analysis (minor concerns part). The new results show an association between SALD and 28-day, 90-day and 1 year mortality (see Table 1). 3) The assertions presented at the beginning of the discussion, which is unusual, are not very easy to understand. We apologize for the lack of clarity at the beginning of the discussion. We wanted to summarize the important points of the results section but following your comments, it seemed to us more appropriate to withdraw this paragraph in the discussion section. The assertion 2 says that low HDL-C are correlated with mortality in patients with, or without SALD. We apologize for the lack of clarity of this sentence. There is a correlation with mortality when we take the whole cohort and in the subgroup of patients without hepatic dysfunction. As mentioned in the answer of the question 3, we removed this sentence of the manuscript. On line 321, it is said, at the opposite, that there is no correlation between HDL-C and mortality in patients with SALD. It is said again in the conclusion, line 356. These sentences are correct. 4) The lack of correlation between lipoprotein levels and mortality noted only in SALD patients is surprising, and very interesting, at least for me. The discussion on this finding (336 to 339) is very poor. We apologize if our discussion on this subject (line 320 à 339) has not been extensive enough: “First, the small number of patients with this dysfunction may not be sufficient to unveil a potential link with mortality. Second, although the literature is controversial regarding the link between mortality and sepsis-associated liver dysfunction, a protective effect of HDL on this dysfunction can be discussed. Indeed, sepsis leads to not only quantitative but also qualitative modifications of HDL particles, including size and structural modifications (10–12,33). For example, proteomic studies in inflammatory states, such as sepsis, have demonstrated major changes in the composition of these particles, particularly in inflammatory proteins, such as a replacement of apoA1 by serum amyloid A (SAA), which may have an impact on patient outcomes (34–36). This proinflammatory shift has been shown both during bacterial sepsis and during sepsis related to COVID-19 pneumonia (37). Given that SAA is synthesized by the liver, an alteration of the hepatic production of this protein could have consequences on the functionality of these HDL particles and, thus, could lead to a protective effect. Finally, in contrast with chronic liver failure, where HDL seems to be a robust predictor of survival (38), the lack of a relationship between lipoprotein concentration and mortality in the case of sepsis-associated liver dysfunction reflects the fact that sepsis is a complex entity in which several organ dysfunctions are intertwined”. Nevertheless, to explain this observation, another hypothesis can be added: the upregulation of the RSB1 receptor can lead to greater elimination of HDL particles and thus increase the clearance of LPS (for Gram-negative bacteria) and lipoteichoic acid (for Gram-positive bacteria) and thus have an impact on the outcome. This hypothesis nevertheless deserves to be verified in pre-clinical studies. We added this point in the discussion. 5) As mentioned by the authors, the number of patients with SALD is rather low, and might explain some of the strange findings. This remark is very relevant. As our study was only exploratory, our results are undeniably underpowered. It would be interesting to increase the number of patients in order to ultimately increase the number of patients with liver dysfunction. We then have re-emphasized this point in the limitations of this study at the end of the discussion: “Second, because of the nature of this prospective cohort study, the number of patients necessary to reach statistical significance was not calculated a priori. Ultimately, the low proportion of hepatic dysfunction in our cohort would merit increasing the number of patients in the cohort”. MINOR CONCERNS - May-be, you could add the word "mortality" in the title Reviewer 1 is totally right, this word must be present in the title. We then changed for “Relationship between liver dysfunction, lipoprotein concentration and mortality during sepsis”. - From line 288 to 290: the text is difficult to understand We are well aware that the sentence is not clear. We wanted to indicate to the reader that hepatic dysfunction could have a cholestatic cause or a cytolytic cause or both. In this context, we have modified the sentence “We, thus, considered that the cholestatic part and the cytolytic part had as much their role in hepatic dysfunction, but this assertion needs confirmation” by the followings: “Hepatic dysfunction can be caused either by a cholestatic mechanism or by cytolysis or sometimes both. As there is no definition retained, we considered that using bilirubin value and liver enzyme concentration in the definition seemed the most rational choice”. - I think there are too many figures, in particular Kaplan Meir curves. Thank you for this comment. We have therefore decided to withdraw the Kaplan Meier curves from patients in septic shock. The additional figure has therefore been removed from the manuscript. - The words "septic patients" and "severe sepsis" do not exist anymore in the last consensus documents Reviewer 1 is totally right, we changed for sepsis and septic shock in the text. - I do think that angiocholitis patients must be exclusion cases As requested by reviewer 1, we removed angiocholitis patients. Removing them is very relevant since sepsis whose origin is hepatic, may induce obvious biases regarding the presence or absence of hepatic dysfunction. The results from the new analyses show the same overall results. We changes all new data in the text, Tables and Figures. - Line 250, I do not understand the word "slightly similar" We understand that this sentence is difficult to understand. We just wanted to explain that the results between sepsis and septic shock patients did not differ. In order to limit the number of figures, we have decided to remove this part of the manuscript. Reviewer #2: Metabolic abnormalities are one of the important causes of death in sepsis. The liver is an important organ of body metabolism. It is of great clinical significance to study the correlation between liver lipid metabolism and the prognosis of sepsis. The article carried out long-term follow-up of 226 sepsis patients, which is a very excellent clinical study. Main comments: The data is huge, and further data mining should be carried out. Such as: whether there is a correlation between the ratio of apolipoprotein and prognosis. We thank the reviewer for this kind comment. Thanks for suggesting to add some data like ratios. Indeed, some ratios can be very informative, especially in cardiovascular pathologies, but have not been studied extensively in sepsis. The most relevant ratio is probably the TC/HDL-C ratio. Interestingly, this ratio was higher in sepsis-associated liver dysfunction patients (TC/HDL-C = 7.0 [3.4, 9.7] vs. 4.5 [3.0, 7.0], p= 0.030). We added this point in the result section. Moreover, TC/HDL-C ratio at admission failed to discriminate patient mortality at Day 28 (log-rank test p=0.59).We also added this new information in the result section. Journal 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 We have modified the manuscript according to Plos One’s style. 2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information. We added in the manuscript that written informed consent was obtained from participating patients. 3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability. Data are available from the authors upon reasonable request. 4. Your ethics statement should only appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please delete it from any other section. We have removed the ethics statement at the end of the manuscript. Henceforth this statement is only to be found in the method part of this manuscript. 5. One of the noted authors is a group or consortium “Philippe MONTRAVERS”.In addition to naming the author group, please list the individual authors and affiliations within this group in the acknowledgments section of your manuscript. Please also indicate clearly a lead author for this group along with a contact email address. It is a mistake, Philippe Montravers is not a consortium but the last author of the manuscript. Submitted filename: Response to reviewers.docx Click here for additional data file. 19 Jul 2022 Relationship between liver dysfunction, lipoprotein concentration and mortality during sepsis PONE-D-22-09335R1 Dear Dr. TANAKA, 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, Chiara Lazzeri Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 11 Aug 2022 PONE-D-22-09335R1 Relationship between liver dysfunction, lipoprotein concentration and mortality during sepsis Dear Dr. Tanaka: 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. Chiara Lazzeri Academic Editor PLOS ONE
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Review 1.  Interaction between high-density lipoproteins and inflammation: Function matters more than concentration!

Authors:  Sumra Nazir; Vera Jankowski; Guzide Bender; Stephen Zewinger; Kerry-Anne Rye; Emiel P C van der Vorst
Journal:  Adv Drug Deliv Rev       Date:  2020-10-17       Impact factor: 15.470

Review 2.  Cholestatic liver (dys)function during sepsis and other critical illnesses.

Authors:  Marc Jenniskens; Lies Langouche; Yoo-Mee Vanwijngaerden; Dieter Mesotten; Greet Van den Berghe
Journal:  Intensive Care Med       Date:  2015-09-21       Impact factor: 17.440

Review 3.  Molecular physiology of reverse cholesterol transport.

Authors:  C J Fielding; P E Fielding
Journal:  J Lipid Res       Date:  1995-02       Impact factor: 5.922

4.  Sepsis-associated liver injury: Incidence, classification and the clinical significance.

Authors:  Haruhiko Kobashi; Junichi Toshimori; Kazuhide Yamamoto
Journal:  Hepatol Res       Date:  2012-09-13       Impact factor: 4.288

5.  Lipoprotein metabolism in patients with severe sepsis.

Authors:  Henk J van Leeuwen; Eric C J M Heezius; Geesje M Dallinga; Jos A G van Strijp; Jan Verhoef; Kok P M van Kessel
Journal:  Crit Care Med       Date:  2003-05       Impact factor: 7.598

6.  Changes in plasma LDL and HDL composition in patients undergoing cardiac surgery.

Authors:  M Hacquebard; A Ducart; D Schmartz; W J Malaisse; Y A Carpentier
Journal:  Lipids       Date:  2007-10-03       Impact factor: 1.880

Review 7.  High-density lipoproteins in sepsis and septic shock: metabolism, actions, and therapeutic applications.

Authors:  Aihua Wu; Charles J Hinds; Christoph Thiemermann
Journal:  Shock       Date:  2004-03       Impact factor: 3.454

8.  Relationship between lipoprotein concentrations and short-term and 1-year mortality in intensive care unit septic patients: results from the HIGHSEPS study.

Authors:  Olivier Meilhac; Philippe Montravers; Sébastien Tanaka; Jules Stern; Donia Bouzid; Tiphaine Robert; Monique Dehoux; Aurélie Snauwaert; Nathalie Zappella; Maxime Cournot; Brice Lortat-Jacob; Pascal Augustin; Enora Atchade; Alexy Tran-Dinh
Journal:  Ann Intensive Care       Date:  2021-01-19       Impact factor: 6.925

9.  Altered high-density lipoprotein composition and functions during severe COVID-19.

Authors:  David Couret; Olivier Meilhac; Floran Begue; Sébastien Tanaka; Zarouki Mouktadi; Philippe Rondeau; Bryan Veeren; Nicolas Diotel; Alexy Tran-Dinh; Tiphaine Robert; Erick Vélia; Patrick Mavingui; Marie Lagrange-Xélot; Philippe Montravers
Journal:  Sci Rep       Date:  2021-01-27       Impact factor: 4.379

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