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Annals of Intensive Care
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Low HDL levels in sepsis versus trauma patients in intensive care unit

Annals of Intensive Care volume 7, Article number: 60 (2017) Cite this article

Abstract

Background

The protective cardiovascular effect of high-density lipoproteins (HDLs) is considered to chiefly rely on reverse cholesterol transport from peripheral tissues back to the liver. However, HDL particles display pleiotropic properties, including anti-inflammatory, anti-apoptotic or antioxidant functions. Some studies suggest that HDL concentration decreases during sepsis, and an association was reported between low HDL levels and a poor outcome. Like sepsis, trauma is also associated with a systemic inflammatory response syndrome. However, no study has yet explored changes in lipid profiles during trauma. We sought to compare lipid profiles between sepsis and trauma patients in intensive care unit (ICU). In septic patients, we analyzed the association between lipid profile, severity and prognosis.

Methods

A prospective, observational, single-centered study was conducted in a surgical ICU. For each patient, total cholesterol, HDL, triglyceride and low-density lipoprotein cholesterol levels were assessed at admission. Short-term prognosis outcome was prospectively assessed.

Results

Seventy-five consecutive patients were admitted (50 sepsis and 25 trauma). There was no difference in SOFA and SAPSII scores between the two groups. Patients with sepsis had lower total cholesterol levels than patients with trauma. Regarding the lipoprotein profile, only HDLs differed significantly between the two groups (median [IQR] = 0.33 mmol/l [0.17–0.78] in sepsis patients versus median [IQR] = 0.99 mmol/l [0.74–1.28] in trauma patients; P < 0.0001). Whereas ICU mortality was not associated with lipid levels in the sepsis group, a significant negative correlation was found between HDL concentration and the length of ICU stay (r = −0.35; P = 0.03) in the group of survivor septic patients at ICU discharge. In addition, poor outcome defined as death or a SOFA score >6 at day 3 was associated with lower HDL levels (median [IQR] = 0.20 mmol/l [0.11–0.41] vs. 0.35 mmol/l [0.19–0.86] in patients with poor outcome versus others; P = 0.03).

Conclusions

Lipid profile was totally different between sepsis and trauma in ICU patients: HDL levels were low in septic patients, whereas their concentration was not altered in trauma patients. This major difference reinforces the necessity to explore the therapeutic potential of HDL in sepsis.

Background

Sepsis remains an important cause of mortality in intensive care unit (ICU) despite a better comprehension of its pathophysiology [1, 2]. Sepsis pathways are complex, including early activation of pro- and anti-inflammatory signaling, along with major non-immunological responses such as cardiovascular, neuronal, autonomic, hormonal and metabolic responses, as well as activation of coagulation [3].

High-density lipoproteins (HDLs) represent a family of particles characterized by their ability to transport cholesterol from peripheral tissues back to the liver that confers to them a cardiovascular protective effect [4, 5]. HDLs also appear to emerge as relevant players in both innate and adaptive immunity [6]. Because of their pleiotropic properties, including anti-inflammatory, anti-apoptotic or antioxidant functions, experimental studies have tested the efficacy of both reconstituted HDL and ApoA1 mimetic peptide perfusion in animal models of septic shock [7,8,9]. Some of these have demonstrated a protective effect of these HDL mimetics on mortality and shown a decrease in the inflammatory state [9,10,11,12]. Several clinical studies have been conducted to assess HDL concentration in septic conditions. Van Leeuwen et al. [13] underlined that in septic patients, HDL concentrations rapidly fall and can be reduced to 50% of recovery conditions. Chien et al. [14] have shown that low HDL levels at day 1 of severe sepsis were significantly associated with an increase in mortality and adverse clinical outcomes. In an observational study involving 151 consecutive septic patients, a low HDL concentration was independently related to 30-day mortality [15].

In trauma patients, a systemic inflammatory response syndrome (SIRS) results from several mechanisms such as neutrophil stimulation [16] or the release of endogenous factors termed damage-associated molecular patterns (DAMPs) after tissue injury [17] leading to pro- and anti-inflammatory cytokine over-expression [18].

Whereas HDL levels were shown to be decreased during sepsis, to our knowledge, no study has explored the lipid profiles during severe injury.

The aim of the present study was to compare the lipid profiles between trauma and septic patients in ICU and to characterize the association between lipid profile, severity and prognosis.

Methods

Study design and patient selection

This was a prospective, observational, single-centered study conducted on 75 consecutive patients admitted to a surgical ICU of a 1000-bed, tertiary-level university hospital. Patients were recruited from July to September 2014. Criteria of inclusion were all adult trauma patients who had at least two SIRS criteria and all patients admitted to the ICU for severe sepsis or septic shock according to the Surviving Sepsis Campaign international guidelines [1]. Patients admitted with liver cirrhosis and who were immunocompromised (acquired immune deficiency syndrome, neutropenia of <1000 cells/ml or transplant surgery) were excluded from our study.

The study was approved by our local ethics committee (comité de protection des personnes de l’université Paris VII n° SC 13-026, ID RCB: 2013-A0141837), which waived the need for written informed consent because of the observational nature of the study.

Data collection

Patient demographics, previous medical history and ICU admission diagnosis, Simplified Acute Physiology Score II (SAPSII), Sepsis-related Organ Failure Assessment score (SOFA), Injury Severity Score (ISS) for trauma patients and clinical outcomes were prospectively collected [19,20,21]. In case of sepsis, data on infection sites and on the type of bacteria were also collected.

For each patient, blood samples were collected at admission to the ICU to assess total cholesterol, HDL cholesterol (HDL-C), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) levels, leukocyte count, platelets, hematocrits, protein, creatinine and serum lactate. Analyses were performed in the biochemistry laboratory of the hospital. Concentrations of total cholesterol, triglycerides and HDL cholesterol were determined using routine enzymatic methods on a Bayer ADVIA 1650 analyzer, and LDL cholesterol was calculated according to the Friedewald equation. The normal range in our hospital was: LDL-C: N < 4.2 mmol/l; HDL-C: 1.0 < N < 2.0 mmol/l; total cholesterol: 3.4 < N < 6.2 mmol/l; and triglyceride 0.45 < N < 1.70 mmol/l.

ICU mortality, duration of mechanical ventilation, length of stay in ICU and in hospital, need for dialysis and vasopressor therapy, and SOFA score at day 3 and day 7 were recorded as short-term prognosis outcomes. A patient with poor outcome was defined as dead or alive with a SOFA score >6 at day 3.

Statistical analysis

Qualitative variables are expressed as numbers (percentages), and quantitative variables are expressed as mean ± standard deviation or medians [interquartile range (IQR)] in the case of non-Gaussian distribution. Normality of distribution was checked graphically and by using the Shapiro–Wilk test.

Bivariate comparisons between the two study groups (sepsis vs trauma) were made using the Chi-square test (Fisher’s exact test was used when the expected cell frequency was <5) for qualitative variables and the Student’s t test for quantitative variables (or Mann–Whitney U test for non-Gaussian distribution). Between-group comparisons in lipid levels were further adjusted for age and sex using nonparametric analysis of covariance [22]. Given the large differences in age between the two study groups, we performed a sensitivity analysis restricted to age (±5 years)- and sex-matched patients of the two groups using Wilcoxon’s signed-rank test.

In the subgroup of patients with sepsis, we investigated the association of lipid levels with sepsis severity at ICU admission (admission SOFA score, need for mechanical ventilation and its duration) and with sepsis short-term prognosis outcomes (mortality in ICU, length of stay in ICU, poor outcome (SOFA score >6 or death) at day 3 and day 7) after adjustment for age and sex. We also investigated the association of lipid levels with bacterial species (gram-negative bacteria and gram-positive cocci) in the subgroup of septic patients. In the trauma group, we investigated the association of lipid levels with admission SOFA score, mechanical ventilation use and its duration, mortality in ICU and length of ICU stay. We used nonparametric covariance analysis to study the association of lipid levels with qualitative severity/outcome variables and partial Spearman’s rank coefficient correlation to study the association of lipid levels with quantitative severity/outcome variables.

Given the small sample size and exploratory nature of the present study, we did not adjust for multiple comparisons. All statistical tests were performed at the two-tailed α level of 0.05, and data were analyzed using the SAS software package, release 9.4 (SAS Institute, Cary, NC).

Results

Lipid profile in trauma and septic patients

Of the 75 patients included in the present study, 50 were admitted for sepsis and 25 for trauma. As shown in Table 1, trauma patients were younger than septic patients (P < 0.0001). There was no difference in SOFA and SAPSII scores between the two groups. Peritonitis was the most frequent source of sepsis infection (n = 22, 44%), followed by pyelonephritis (n = 11, 22%), angiocholitis (n = 9, 18%) and other sources (n = 8, 16%). Among septic patients, 14 of them (28%) were admitted for sepsis and 36 (72%) for septic shock according to the recent Sepsis-3 definition [2].

Table 1 Main patient characteristics
Full size table

As shown in Fig. 1, sepsis patients had lower total cholesterol levels than trauma patients. Regarding the lipoprotein profile, only HDL-C differed significantly between the two groups. Patients with sepsis were characterized by lower HDL-C levels (median [IQR] = 0.33 mmol/l [0.17–0.78]) relative to trauma patients (median [IQR] = 0.99 mmol/l [0.74–1.28]; age- and sex-adjusted P < 0.0001). In sensitivity analysis restricted to age-/sex-matched patients of the two groups, a similar difference in HDL-C levels was found (median [IQR] = 0.19 mmol/l [0.14–0.92] vs. 0.98 mmol/l [0.70–1.30]; P = 0.001). These results are presented in Additional file 1: Table S1 in the online supplement information.

Fig. 1
figure 1

Comparison of lipid levels between sepsis and trauma patients. a Total cholesterol; b HDL-C; c LDL-C; d triglycerides. Age-/sex-adjusted P values were reported. Minimum, 25th, 50th, 75th percentiles and maximum change values are plotted

Full size image

Lipid profile and sepsis severity

In septic patients, the severity of the disease (assessed by SOFA score or the need for mechanical ventilation) was negatively associated with HDL-C, whereas no significant association was found with LDL-C and triglyceride levels (Table 2). We found a negative correlation between admission SOFA score and HDL-C levels (r = −0.50, P = 0.0004), and lower HDL-C levels in mechanically ventilated patients (median [IQR] = 0.21 mmol/l [0.13–0.45] versus 0.52 mmol/l [0.25–0.96] in patients not requiring mechanical ventilation; P = 0.029).

Table 2 Association of lipid levels with sepsis severity and short-term prognosis
Full size table

Lipid profile and sepsis outcome

Whereas ICU mortality was not associated with lipid levels in the sepsis group, (Table 2), a significant negative correlation was found between HDL-C and the length of ICU stay (r = −0.35; P = 0.03) in the group of survivor patients at ICU discharge.

In addition, poor outcome, defined as mortality or a SOFA score >6 at day 3, was associated with low HDL-C levels (median [IQR] = 0.20 mmol/l [0.11–0.41] vs. 0.35 mmol/l [0.19–0.86] in patients with poor outcome vs. others; P = 0.03).

Lipid profile and bacterial species

In the subgroup of sepsis patients, no association was found between gram-negative bacteria and lipid levels (Table 2), whereas the presence of gram-positive cocci was associated with higher HDL-C levels (median [IQR] = 0.61 mmol/l [0.25–1.01] in patients with vs. 0.21 [0.15–0.37] in patients without; P = 0.013).

Lipid profile in the subgroup of trauma patients

With the exception of the length of ICU stay, we found no statistical link between lipid profile and trauma patient characteristics. These results are presented in Additional file 2: Table S2 in the online supplement information.

Discussion

In this study, we report that:

  1. 1.

    HDL-C levels were markedly low during sepsis, whereas no change was observed in the early phase of trauma relative to standard HDL concentrations.

  2. 2.

    Concerning LDL and TG levels, no difference was observed between sepsis and trauma.

  3. 3.

    In the sepsis subgroup, SOFA score, the need for mechanical ventilation and length of ICU stay were negatively associated with HDL-C levels at admission. No association between mortality and HDL-C levels was observed.

During sepsis, the dramatic decrease in HDL-C levels relative to normal conditions remains unexplained. Several hypotheses are possible, including an acute over-consumption of HDL particles, a decrease in liver HDL synthesis (especially in the case of hepatic failure) or an increased clearance following an upregulation of scavenger receptors such as SRB-1 [23]. HDL particles may also easily be redistributed from the intravascular to the extravascular compartment in the context of sepsis [13, 24]. One major action of HDL particles during sepsis is the clearance of bacterial components, such as lipopolysaccharides (LPS) [25]. After binding bacterial components, the clearance of HDL particles may also be increased in inflammatory conditions [25, 26]. Interestingly, in the population of septic patients studied here, HDL concentration was higher in patients with gram-positive versus gram-negative bacteria, suggesting that the clearance of HDL-LPS particles may be enhanced.

Both sepsis and trauma are characterized by an intense systemic inflammation that results from a disproportionate activation of inflammation signaling pathways [16, 27, 28]. In these two pathologies, cell injury initiates the secretion of different mediators such as DAMPs, which are recognized by the host, leading to a pro-inflammatory response [3, 29]. Also, similar leukocyte genomic responses to inflammation may be involved in both trauma and sepsis patients [30]. However, despite a common inflammatory background, we did not observe a similar lipid profile between sepsis and trauma patients. To our knowledge, except in spinal cord injury [31], lipid profile and especially HDL-C concentration have never been compared between trauma and septic patients. In this context, we show, for the first time, that in the early phase of trauma, HDL levels are preserved, contrasting with sepsis. The mechanisms that may explain the HDL-C level differences between trauma and sepsis remain unknown, but the interaction between HDL particles and LPS may be one of the causes [23]. The marked release of bacterial endotoxins may lead to an increased consumption of HDL particles.

This discrepancy between sepsis and trauma patients emphasizes the potential protective role of HDLs during sepsis. In view of HDL over-consumption and clearance in sepsis, their previously described pleiotropic effects may be lacking for the control of inflammation associated with this condition [7, 23].

Concerning the relationship between HDL-C levels and prognosis in septic patients, results of previous studies are controversial. On the one hand, Chien et al. [14] have shown that HDL-C levels in non-survivors were significantly lower than those of survivors from day 1 to day 4 and that HDL-C concentration at day 1 could predict the overall 30-day mortality rate. In their study, the cutoff value of 0.52 mmol/l had a sensitivity of 92% and a specificity of 80% for predicting the overall 30-day mortality rate. Barlage et al., in an observational study in ICU, also underlined the relationship between apo-A1 levels and 30-day mortality [15]. On the other hand, Lee et al. [32] reported no significant HDL-C differences between survivors and non-survivors in 117 septic patients. Only TG levels were associated with mortality.

Our study was not designed to test a potential difference in mortality but rather to compare trauma and septic patients. Comparing with the studies of Chien et al. and Barlage et al., the limited number of patients and the low proportion of sepsis in our cohort may explain this lack of relationship between HDL concentration and mortality. However, we found that death or a SOFA score >6 at day 3 was associated with low HDL-C levels. To our knowledge, only one previous study has explored the relationship between HDL concentrations at admission and organ failure progression: Cirstea et al. [33] have recently reported that low HDL-C levels at the time of admission for suspected sepsis were strongly and independently prognostic of subsequent multiple organ dysfunction.

One major finding of our study was that SOFA score, need for and duration of mechanical ventilation and length of ICU stay were all negatively associated with HDL-C levels. This result concerning length of ICU stay was similar to that found by Chien and al. [14]. Concerning SOFA score evaluation at day 1, our results are in line with those of Ferreira et al., showing that the sequential assessment of organ dysfunction during the first days of ICU admission was clinically relevant and a good indicator of prognosis [34].

Our study has some limitations. The first limitation is the marked difference in age between sepsis and trauma groups. A sensitivity analysis restricted to age-/sex-matched patients from the two groups was performed, and the lower levels in HDL-C in sepsis relative to trauma patients were confirmed. In addition, most cross-sectional studies in the general population report no difference in HDL levels between young and older subjects [35,36,37,38]. Taken together, age adjustment, sensitivity analysis and bibliographic data support our conclusion that HDL level differences are indeed due to septic conditions.

Second, we were not allowed to collect information on race and familial disorders of lipid metabolism which can affect the lipid levels.

Third, we have not measured inflammatory markers such as cytokines/chemokines in the two groups of patients. In this context, it is not possible to compare the inflammatory state between trauma and septic patients. However, SAPSII and SOFA scores were collected and no differences were found between trauma and septic patients, suggesting that these two groups of patients were comparable in terms of gravity.

Fourth, we analyzed lipid levels only at ICU admission. No additional measures were performed in the early phase of sepsis (i.e., at emergency room admission) and during the stay in ICU. Comparison between the basal lipid levels (i.e., without any episode of sepsis or trauma before admission to hospital) and the pathologic condition in the same patient would be of interest.

Fifth, peritonitis, urinary tract infection and angiocholitis are the main causes of sepsis recruitment in our surgical ICU, which is quite different from other ICUs and especially medical ICUs, which may explain some differences. The ability of HDL to bind and promote LPS clearance in cases of infection by gram-negative pathogens may also impact our results because our sepsis population involved more gram-negative pathogens.

Finally, additional studies with appropriate sample size calculation should be performed, with a larger number of patients. Our study is exploratory, with a limited sample size; our conclusion should therefore be taken with caution.

Regarding the main finding of our study, further experimental studies should be conducted to understand the reasons for the low HDL concentration during sepsis. In addition, a lipidomics approach may also be of interest. Dysfunctional HDLs during sepsis may represent an explanation for the observed organ dysfunction during sepsis [23]. The interaction between HDL particles and bacterial components, such as LPS, should also be addressed in future experimental studies. Finally, because of the pleiotropic effects of HDLs, therapeutic injection of HDL mimetic peptides or reconstituted HDLs may be of interest and should be tested in preclinical settings.

Conclusion

Our study has demonstrated that the lipid profile was different between sepsis and trauma ICU patients. HDL-C levels were low in septic patients, whereas their concentration was not altered in the case of trauma. This major difference reinforces the necessity to explore the therapeutic potential of HDL in sepsis.

In the subgroup of sepsis, SOFA score, need for and duration of mechanical ventilation and length of ICU stay were all negatively associated with HDL-C levels.

Our study suggests that HDLs may play an important role in sepsis. Further studies enrolling more patients, and especially septic patients, are necessary to test whether low HDL levels are a bystander prognosis marker of mortality or whether HDLs may limit the deleterious effects of sepsis.

Abbreviations

DAMPs:

damage-associated molecular patterns

HDL:

high-density lipoprotein

ICU:

intensive care unit

ISS:

injury severity score

LPS:

lipopolysaccharides

LDL:

low-density lipoprotein cholesterol

SOFA:

Sepsis-related Organ Failure Assessment Score

SAPSII:

Simplified Acute Physiology Score II

SIRS:

systemic inflammatory response syndrome

TG:

triglyceride

References

  1. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, Sevransky JE, Sprung CL, Douglas IS, Jaeschke R, et al. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med. 2013;39(2):165–228.

    CAS  Article  PubMed  Google Scholar 

  2. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, Bellomo R, Bernard GR, Chiche JD, Coopersmith CM, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016;315(8):801–10.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. Angus DC, van der Poll T. Severe sepsis and septic shock. N Engl J Med. 2013;369(9):840–51.

    CAS  Article  PubMed  Google Scholar 

  4. Nofer JR, Kehrel B, Fobker M, Levkau B, Assmann G, von Eckardstein A. HDL and arteriosclerosis: beyond reverse cholesterol transport. Atherosclerosis. 2002;161(1):1–16.

    CAS  Article  PubMed  Google Scholar 

  5. Cooney MT, Dudina A, De Bacquer D, Wilhelmsen L, Sans S, Menotti A, De Backer G, Jousilahti P, Keil U, Thomsen T, et al. HDL cholesterol protects against cardiovascular disease in both genders, at all ages and at all levels of risk. Atherosclerosis. 2009;206(2):611–6.

    CAS  Article  PubMed  Google Scholar 

  6. Norata GD, Pirillo A, Ammirati E, Catapano AL. Emerging role of high density lipoproteins as a player in the immune system. Atherosclerosis. 2012;220(1):11–21.

    CAS  Article  PubMed  Google Scholar 

  7. Tran-Dinh A, Diallo D, Delbosc S, Varela-Perez LM, Dang QB, Lapergue B, Burillo E, Michel JB, Levoye A, Martin-Ventura JL, et al. HDL and endothelial protection. Br J Pharmacol. 2013;169(3):493–511.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. McDonald MC, Dhadly P, Cockerill GW, Cuzzocrea S, Mota-Filipe H, Hinds CJ, Miller NE, Thiemermann C. Reconstituted high-density lipoprotein attenuates organ injury and adhesion molecule expression in a rodent model of endotoxic shock. Shock. 2003;20(6):551–7.

    CAS  Article  PubMed  Google Scholar 

  9. Dai L, Datta G, Zhang Z, Gupta H, Patel R, Honavar J, Modi S, Wyss JM, Palgunachari M, Anantharamaiah GM, et al. The apolipoprotein A-I mimetic peptide 4F prevents defects in vascular function in endotoxemic rats. J Lipid Res. 2010;51(9):2695–705.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. Zhang Z, Datta G, Zhang Y, Miller AP, Mochon P, Chen YF, Chatham J, Anantharamaiah GM, White CR. Apolipoprotein A-I mimetic peptide treatment inhibits inflammatory responses and improves survival in septic rats. Am J Physiol Heart Circ Physiol. 2009;297(2):H866–73.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. Gupta H, Dai L, Datta G, Garber DW, Grenett H, Li Y, Mishra V, Palgunachari MN, Handattu S, Gianturco SH, et al. Inhibition of lipopolysaccharide-induced inflammatory responses by an apolipoprotein AI mimetic peptide. Circ Res. 2005;97(3):236–43.

    CAS  Article  PubMed  Google Scholar 

  12. Zhang X, Wang L, Chen B. Recombinant HDL (Milano) protects endotoxin-challenged rats from multiple organ injury and dysfunction. Biol Chem. 2015;396(1):53–60.

    CAS  Article  PubMed  Google Scholar 

  13. van Leeuwen HJ, Heezius EC, Dallinga GM, van Strijp JA, Verhoef J, van Kessel KP. Lipoprotein metabolism in patients with severe sepsis. Crit Care Med. 2003;31(5):1359–66.

    Article  PubMed  Google Scholar 

  14. Chien JY, Jerng JS, Yu CJ, Yang PC. Low serum level of high-density lipoprotein cholesterol is a poor prognostic factor for severe sepsis. Crit Care Med. 2005;33(8):1688–93.

    CAS  Article  PubMed  Google Scholar 

  15. Barlage S, Gnewuch C, Liebisch G, Wolf Z, Audebert FX, Gluck T, Frohlich D, Kramer BK, Rothe G, Schmitz G. Changes in HDL-associated apolipoproteins relate to mortality in human sepsis and correlate to monocyte and platelet activation. Intensive Care Med. 2009;35(11):1877–85.

    CAS  Article  PubMed  Google Scholar 

  16. Hazeldine J, Hampson P, Lord JM. The impact of trauma on neutrophil function. Injury. 2014;45(12):1824–33.

    Article  PubMed  Google Scholar 

  17. Pugin J. How tissue injury alarms the immune system and causes a systemic inflammatory response syndrome. Ann Intensive Care. 2012;2(1):27.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Lord JM, Midwinter MJ, Chen YF, Belli A, Brohi K, Kovacs EJ, Koenderman L, Kubes P, Lilford RJ. The systemic immune response to trauma: an overview of pathophysiology and treatment. Lancet. 2014;384(9952):1455–65.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. Vincent JL, Moreno R, Takala J, Willatts S, De Mendonça 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.

    CAS  Article  PubMed  Google Scholar 

  20. Antonelli M, Moreno R, Vincent JL, Sprung CL, Mendoça A, Passariello M, et al. Application of SOFA score to trauma patients. Sequential organ failure assessment. Intensive Care Med. 1999;25(4):389–94.

    CAS  Article  PubMed  Google Scholar 

  21. Baker SP, O’Neill B, Haddon W, Long WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma. 1974;14(3):187–96.

    CAS  Article  PubMed  Google Scholar 

  22. LaVange LM, Koch GG. Rank score tests. Circulation. 2006;114(23):2528–33.

    Article  PubMed  Google Scholar 

  23. Pirillo A, Catapano AL, Norata GD. HDL in infectious diseases and sepsis. Handb Exp Pharmacol. 2015;224:483–508.

    CAS  Article  PubMed  Google Scholar 

  24. Gordon BR, Parker TS, Levine DM, Saal SD, Wang JC, Sloan BJ, Barie PS, Rubin AL. Relationship of hypolipidemia to cytokine concentrations and outcomes in critically ill surgical patients. Crit Care Med. 2001;29(8):1563–8.

    CAS  Article  PubMed  Google Scholar 

  25. Vesy CJ, Kitchens RL, Wolfbauer G, Albers JJ, Munford RS. Lipopolysaccharide-binding protein and phospholipid transfer protein release lipopolysaccharides from gram-negative bacterial membranes. Infect Immun. 2000;68(5):2410–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. Wurfel MM, Kunitake ST, Lichenstein H, Kane JP, Wright SD. Lipopolysaccharide (LPS)-binding protein is carried on lipoproteins and acts as a cofactor in the neutralization of LPS. J Exp Med. 1994;180(3):1025–35.

    CAS  Article  PubMed  Google Scholar 

  27. Lenz A, Franklin GA, Cheadle WG. Systemic inflammation after trauma. Injury. 2007;38(12):1336–45.

    Article  PubMed  Google Scholar 

  28. Binkowska AM, Michalak G, Slotwinski R. Current views on the mechanisms of immune responses to trauma and infection. Cent Eur J Immunol. 2015;40(2):206–16.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. Zhang Q, Raoof M, Chen Y, Sumi Y, Sursal T, Junger W, Brohi K, Itagaki K, Hauser CJ. Circulating mitochondrial DAMPs cause inflammatory responses to injury. Nature. 2010;464(7285):104–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. Seok J, Warren HS, Cuenca AG, Mindrinos MN, Baker HV, Xu W, Richards DR, McDonald-Smith GP, Gao H, Hennessy L, et al. Genomic responses in mouse models poorly mimic human inflammatory diseases. Proc Natl Acad Sci USA. 2013;110(9):3507–12.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. Gilbert O, Croffoot JR, Taylor AJ, Nash M, Schomer K, Groah S. Serum lipid concentrations among persons with spinal cord injury—a systematic review and meta-analysis of the literature. Atherosclerosis. 2014;232(2):305–12.

    CAS  Article  PubMed  Google Scholar 

  32. Lee SH, Park MS, Park BH, Jung WJ, Lee IS, Kim SY, Kim EY, Jung JY, Kang YA, Kim YS, et al. Prognostic implications of serum lipid metabolism over time during sepsis. Biomed Res Int. 2015;2015:789298.

    PubMed  PubMed Central  Google Scholar 

  33. Cirstea M, Walley KR, Russell JA, Brunham LR, Genga KR, Boyd JH. Decreased high-density lipoprotein cholesterol level is an early prognostic marker for organ dysfunction and death in patients with suspected sepsis. J Crit Care. 2017;38:289–94.

    CAS  Article  PubMed  Google Scholar 

  34. Ferreira FL, Bota DP, Bross A, Mélot C, Vincent JL. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA. 2001;286(14):1754–8.

    CAS  Article  PubMed  Google Scholar 

  35. Heitmann BL. The effects of gender and age on associations between blood lipid levels and obesity in Danish men and women aged 35–65 years. J Clin Epidemiol. 1992;45(7):693–702.

    CAS  Article  PubMed  Google Scholar 

  36. Heiss G, Tamir I, Davis CE, Tyroler HA, Rifkand BM, Schonfeld G, et al. Lipoprotein-cholesterol distributions in selected North American populations: the lipid research clinics program prevalence study. Circulation. 1980;61(2):302–15.

    CAS  Article  PubMed  Google Scholar 

  37. Abbott RD, Garrison RJ, Wilson PW, Epstein FH, Castelli WP, Feinleib M, et al. Joint distribution of lipoprotein cholesterol classes. The Framingham study. Arterioscler Dallas Tex. 1983;3(3):260–72.

    CAS  Article  Google Scholar 

  38. Wilson PW, Anderson KM, Harris T, Kannel WB, Castelli WP. Determinants of change in total cholesterol and HDL-C with age: the Framingham Study. J Gerontol. 1994;49(6):M252–7.

    CAS  Article  PubMed  Google Scholar 

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Authors’ contributions

ST participated in study design, acquisition of data, analysis and interpretation of data and drafted the manuscript. JL and ED performed the statistical analysis, were involved in the analysis and interpretation of data and helped to draft the manuscript. AH, SH and BV have made substantial contributions to acquisition of data and analysis. DC was involved in the analysis and interpretation of data. JD and OM participated in the design of the study, were involved in the analysis and interpretation of data and drafted the manuscript. All authors have read and approved the manuscript.

Acknowledgements

The authors thank the physicians and nursing staff of the Bicêtre hospital’s ICU for their valuable cooperation and Patricia Girard for collecting clinical data. The authors would like to thank Dr. Mary Osborne-Pellegrin for help in editing the manuscript.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The database supporting the conclusion of this article is joined to the manuscript as supplemental data (Additional file 3).

Ethics approval and consent to participate

The study was approved by our local ethics committee (comité de protection des personnes de l’université Paris VII n° SC 13-026, ID RCB: 2013-A0141837), which waived the need for written informed consent because of the observational nature of the study.

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Authors and Affiliations

  1. Assistance Publique des Hopitaux de Paris, Service d’Anesthésie-Réanimation, Hôpitaux Universitaires Paris-Sud, Université Paris-Sud, Hôpital de Bicêtre, le Kremlin-Bicêtre, France

    Sébastien Tanaka, Anatole Harrois, Sophie Hamada, Bernard Vigué & Jacques Duranteau

  2. Département de biostatistique, Université de Lille, CHU Lille, EA 2694 - Santé publique, épidémiologie et qualité des soins, 59000, Lille, France

    Julien Labreuche & Elodie Drumez

  3. Laboratoire d’étude de la Microcirculation, « Bio-CANVAS: biomarqueurs in CardioNeuroVascular DISEASES », UMRS 942, Paris, France

    Anatole Harrois & Jacques Duranteau

  4. Université de La Réunion, INSERM, UMR 1188 Diabète athérothombose Réunion Océan Indien (DéTROI), Saint-Denis, France

    David Couret & Olivier Meilhac

  5. CHU de La Réunion, Saint-Denis, France

    David Couret & Olivier Meilhac

Authors
  1. Sébastien Tanaka
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  2. Julien Labreuche
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  3. Elodie Drumez
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  4. Anatole Harrois
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  5. Sophie Hamada
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  6. Bernard Vigué
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  7. David Couret
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  8. Jacques Duranteau
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  9. Olivier Meilhac
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Corresponding author

Correspondence to Sébastien Tanaka.

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Tanaka, S., Labreuche, J., Drumez, E. et al. Low HDL levels in sepsis versus trauma patients in intensive care unit. Ann. Intensive Care 7, 60 (2017). https://doi.org/10.1186/s13613-017-0284-3

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  • DOI: https://doi.org/10.1186/s13613-017-0284-3

Keywords

  • Sepsis
  • Trauma
  • Lipids
  • Inflammation
  • High-density lipoproteins
  • ICU
  • Outcome