Secondary Logo

Journal Logo

Original Clinical Report

Thrombomodulin, Plasminogen Activator Inhibitor-1 and Protein C Levels, and Organ Dysfunction in Sepsis

Katayama, Shinshu MD; Koyama, Kansuke MD, PhD; Shima, Jun MD; Tonai, Ken MD; Goto, Yuya MD; Koinuma, Toshitaka MD; Nunomiya, Shin MD, PhD

Author Information
doi: 10.1097/CCE.0000000000000013

Abstract

Sepsis is a life-threatening complication of severe infections, where widespread inflammation can lead to multiple organ failure. Endothelial injury is a major pathophysiologic event in sepsis, and as such, damaged endothelial cells are closely linked with organ dysfunction (1,2). Endothelial cells play a pivotal role during sepsis to maintain the balance between coagulation and anticoagulation. They generate tissue factor-mediated thrombin, inhibit fibrinolysis by producing plasminogen activator inhibitor-1 (PAI-1), and inhibit the antithrombin and thrombomodulin-protein C anticoagulant system. However, once injured, endothelial cells mainly promote coagulation, which leads to the formation of a large number of microthrombi and results in microcirculatory failure (2,3). Thus, some biomarkers related to coagulopathy (soluble thrombomodulin [sTM], PAI-1, and protein C) might represent endothelial function and appear in the early phase of sepsis, as an indicator of organ dysfunction.

Although previous studies have reported on the relationship between endothelial biomarkers and organ dysfunction, it is still unknown whether any endothelial biomarker can separately represent the recovery of endothelial or organ function, as opposed to simply representing the severity of inflammation and endothelial injury. Also, the relationship between endothelial biomarkers and other inflammation or coagulation variables commonly available in the clinical situations remains unclear. If some endothelial biomarkers were predictive of recovery from endothelial dysfunction and not the presence of endothelial damage at the time of inflammation, they might prove useful in assessing the recovery from organ dysfunctions.

In this study, we aimed to determine the association of some endothelial biomarkers, especially sTM, PAI-1, and protein C pathways, which are pathophysiologically related to the recovery of endothelial function, and several inflammation and coagulation biomarkers along with the severity of organ dysfunction.

MATERIALS AND METHODS

Study Design and Setting

This was a single-center, retrospective, observational study conducted in a university hospital with 14 mixed general and surgical ICU beds (Tochigi, Japan) from June 2011 to December 2017. Laboratory tests, including those for biomarkers of endothelial injury and coagulopathy, were routinely performed at our institute and were partly used for data analysis. Clinical decisions were made at the discretion of the attending ICU physicians. The study protocol was approved by the Institutional Research Ethics Committee of Jichi Medical University Hospital (number 18-032). Informed consent was waived because of the retrospective nature of this study.

Participants

Patients were eligible for enrollment if they were 20 years old or older and had sepsis at the time of ICU admission. Sepsis and septic shock were defined according to The Third International Consensus Definitions for Sepsis and Septic Shock (4). Exclusion criteria included patients with end-stage renal disease requiring dialysis, those with an ICU length of stay of less than 24 hours, or those with missing body weight records. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

The following biomarkers were evaluated during the ICU stay: endothelial biomarkers (sTM, PAI-1, and protein C), the coagulation biomarker (antithrombin III), and inflammation biomarkers (C-reactive protein [CRP], WBC count, procalcitonin, and lactate). Patient baseline characteristics including age, sex, body weight, infection site, and the premorbid creatinine level were collected from electronic medical records. The underlying medical history was also obtained, including information on hypertension, ischemic heart disease, chronic heart failure, chronic obstructive pulmonary disease, cerebrovascular accidents, diabetes mellitus, hepatic diseases, and an immunocompromised state. Antithrombin III and sTM values were excluded from the dataset just after antithrombin III, or recombinant thrombomodulin was administered for the treatment of disseminated intravascular coagulation (DIC). The Acute Physiology and Chronic Health Evaluation (APACHE) II (5) and Sequential Organ Failure Assessment (SOFA) (6) scores were used to assess organ dysfunction. Laboratory data were collected for 7 days after ICU admission. SOFA scores for all patients were reevaluated on ICU day 7 (“day-7 SOFA,” hereafter), and patients were divided into five groups based on this score (SOFA 0–2, 3–5, 6–8, 9–12, and 13–24). If the patient was discharged from the ICU before day 7, the last SOFA score recorded in the ICU was used. The 7-, 28-, and 90-day mortality rates were calculated.

Definitions

Chronic kidney disease was defined as an estimated glomerular filtration rate of less than 60 mL/min/1.73 m2 (7), at the patient’s baseline creatinine level. To define the baseline creatinine level, we used a stable value within 1 year prior to the indexed hospital admission as the premorbid creatinine. If baseline creatinine data were not available, the baseline estimated glomerular filtration rate of 75 mL/min per 1.73 m2 was used based on the Modification of Diet in Renal Disease equation (8). Overt DIC was defined according to the criteria of the International Society on Thrombosis and Haemostasis (9).

Biomarker Measurement and Laboratory Analysis

Markers of endothelial injury (sTM, PAI-1, and protein C) and coagulation (antithrombin III) were measured during the ICU stay. A chemiluminescent enzyme immunoassay was used to determine sTM levels (STACIA CLEIA; LSI Medience, Tokyo, Japan). PAI-1 levels were measured using the tPAI test (Mitsubishi Chemical Medience, Tokyo, Japan). Berichrom assays (Siemens Healthcare Diagnostics, Tokyo, Japan) were used to determine the activities of protein C and antithrombin III. Markers of inflammation (CRP, WBC, procalcitonin, and lactate) were also measured at ICU admission. The detection limits and normal values of the endothelial biomarkers are listed in Table s1 (Supplemental Digital Content 1, https://links.lww.com/CCX/A41). If PAI-1 level was less than 10 ng/mL, it was considered 10 ng/mL.

Statistical Analysis

Variables were compared between groups using the Wilcoxon/Kruskal-Wallis test, Pearson’s chi-square test, or Tukey honestly significant difference test. Regression analyses and 95% CIs were used for evaluating trends in biomarkers. The area under the receiver operating characteristic (AUROC) curve was used to evaluate biomarkers for predicting the SOFA score on ICU day 7. All analyses were performed using JMP 13 (SAS Institute, Cary, NC). Data were presented as medians and interquartile ranges (25–75th percentiles) or as percentages. p values of less than 0.05 were considered statistically significant.

RESULTS

Enrollment and Baseline Characteristics

In total, 743 patients with sepsis were included (Fig. 1F1). Patients were divided into SOFA 0–2 (n = 159, 20.5%), 3–5 (n = 296, 38.2%), 6–8 (n = 182, 23.5%), 9–12 (n = 75, 9.7%), and 13–24 (n = 31, 4.0%) groups according to their day-7 SOFA score. The APACHE II (18 vs 21 vs 26 vs 29 vs 36; p < 0.0001) and SOFA scores (4 vs 6 vs 8 vs 10 vs 12; p < 0.0001) on day 1 significantly differed between the groups. The 7-day (0.6% vs 0.0% vs 0.6% vs 4.0% vs 51.6%; p < 0.0001), 28-day (3.1% vs 2.8% vs 7.1% vs 20.3% vs 77.4%; p < 0.0001), and 90-day (5.9% vs 11.5% vs 26.9% vs 54.4% vs 85.7%; p < 0.0001) mortality rates were also significantly correlated with day-7 SOFA score, as expected (Table 1). Supplemental Figure 1 (Supplemental Digital Content 2, https://links.lww.com/CCX/A42; legend, Supplemental Digital Content 7, https://links.lww.com/CCX/A47) shows the trends of the SOFA scores for each group. All groups had significantly different scores throughout the study period.

T1
TABLE 1.:
Patient Characteristics
F1
Figure 1.:
Flowchart of patient enrollment.

Laboratory Tests and Endothelial Biomarkers

Table 2 shows the measured variables upon ICU admission among groups. The markers of endothelial function were significantly correlated with day-7 SOFA scores. Protein C levels were significantly lower when day-7 SOFA scores were higher (62.8% vs 53.1% vs 46.5% vs 37.8% vs 38.5%; p < 0.0001), whereas sTM levels (15.5 vs 19.7 vs 22.3 vs 36.2 vs 33.0 U/mL; p < 0.0001) and PAI-1 levels (61 vs 94 vs 184 vs 182 vs 987 ng/mL; p < 0.0001) were significantly increased with SOFA scores. In addition, the coagulation marker antithrombin III significantly decreased with the increase in day-7 SOFA scores (62.6% vs 53.9% vs 51.5% vs 48.4% vs 40.0%; p < 0.0001). Finally, the presence of overt DIC (4.5% vs 15.4% vs 26.7% vs 57.3% vs 76.7%; p < 0.0001) and septic shock (21.4% vs 36.8% vs 57.5% vs 69.3% vs 90.3%; p < 0.0001) significantly differed among the groups.

T2
TABLE 2.:
Baseline Laboratory Results Upon ICU Admission

Trends to Predict Day-7 SOFA Severity

Figure 2F2 and Supplemental Figure 2 (Supplemental Digital Content 4, https://links.lww.com/CCX/A44; legend, Supplemental Digital Content 7, https://links.lww.com/CCX/A47) show the time course for each biomarker in accordance with the day-7 SOFA scores. Among these variables, protein C was the only variable that significantly correlated with day-7 SOFA scores. Inflammation variables, including CRP and WBC, showed relatively similar changes among the groups during the first 3 days and then varied according to SOFA score. However, procalcitonin followed the trends of SOFA scores from day 2 to day 4. As for the endothelial biomarkers, PAI-1 was significantly correlated with SOFA scores during the first 2 days. However, this effect converged to no significant correlation by day 5. Levels of sTM significantly differed among all groups. However, this trend was not as obvious as the correlation between protein C activity and SOFA score. Antithrombin III levels were not significantly different between groups. Lactate levels significantly differed in accordance with the SOFA scores on days 1–5. The AUROC of all biomarkers was also evaluated with the results presented in Table s2 (Supplemental Digital Content 3, https://links.lww.com/CCX/A43).

F2
Figure 2.:
Relationship between biomarkers and day-7 Sequential Organ Failure Assessment (SOFA) score. Among the variables, protein C activity was the only variable that significantly correlated with day-7 SOFA scores. The colored area represents the 95% CI. The SOFA score on day 7 is plotted against protein C activity (A), plasminogen activator inhibitor-1 (PAI-1) (B), thrombomodulin (C), C-reactive protein (CRP) (D), WBC count (E), and procalcitonin (F). Blue = SOFA scores 0–2, Red = SOFA scores 3–5, Green = SOFA scores 6–8, Purple = SOFA scores 9–12, and Orange = SOFA scores 13–24. sTM = soluble thrombomodulin.

Relationships Between Protein C and Day-7 SOFA Components

Supplemental Figure 3 (Supplemental Digital Content 5, https://links.lww.com/CCX/A45; legend, Supplemental Digital Content 7, https://links.lww.com/CCX/A47) shows the relationships between protein C and individual components of day-7 SOFA scores. Among the six organ-specific variables of SOFA, the time course of protein C was significantly associated with platelet counts, liver function, and circulation on day 7. However, for respiratory function, Glasgow Coma Scale, and kidney function, there was no significant correlation.

Relationship Between Protein C and 7-Day and 28-Day Mortalities

Figure 3F3 shows the time course for the level of protein C divided by 7-day and 28-day mortalities. In nonsurvivors, the levels of protein C decreased continuously till day 7. However, although 28-day mortality did not differ relative to day 1 levels of protein C, protein C activity significantly differed between survivors and nonsurvivors on day 28.

F3
Figure 3.:
Relationship between protein C activity and mortality (7-d and 28-d). In nonsurvivors, protein C activity decreased continuously till day 7. Also, protein C activity significantly differed between survivors and nonsurvivors on day 28. Red = survivors, Blue = nonsurvivors. Colored area represents the 95% CI.

DISCUSSION

In this study, we found that depending on the extent of endothelial injury, several endothelial biomarkers uniquely correlated with organ dysfunction. In particular, protein C activity was the best predictor of the degree of organ dysfunction after 7 days in the ICU. Based on these results, we think that changes in protein C values may be superior to other biomarkers of endothelium, inflammation, or coagulation to evaluate organ dysfunction in septic patients.

Previous studies that evaluated the relationship between protein C activity and organ dysfunction (10–12) or mortality (13,14) did not clarify the usefulness of protein C compared with other common clinical biomarkers. In this study, we found that protein C activity was significantly correlated with the severity of organ dysfunction at day 7 in the ICU. This finding may support the theory that activated protein C depicts the extent of endothelial recovery in addition to its known anticoagulant, anti-inflammatory, cytoprotective, and antiapoptotic activities (15–19). If this is the case, the level of protein C can represent the degree of recovery from organ dysfunction. Decreases in protein C activity correlated with some components of the SOFA scores, including platelet counts, liver function, and circulation. However, protein C activity did not correlate with variables known to depict kidney function. There were several studies focusing on the relationship between protein C activity and acute kidney injury (AKI), revealing that protein C activity decreased significantly in accordance with AKI severity (10,12,20). However, protein C activity was not shown to be an independent factor in the multivariable analysis (21). Based on our current findings, we believe that protein C activity was better related to the coagulation system, cardiovascular system, and hepatic function and may not be a sufficient predictor of kidney function.

One of the endothelial biomarkers, PAI-1, has a role in regulating fibrinolysis by inhibiting PAI-1. Previous studies have reported a relationship between PAI-1 levels and DIC (22,23), multiple organ failure (22,24,25), and mortality (26,27). Our previous study showed that PAI-1 levels peaked around the onset of sepsis and might reflect the severity of inflammation and coagulopathy in the early phase of sepsis (23). This study supports those results. PAI-1 levels correlated with the intensity of inflammation and coagulopathy in the early phase of sepsis; however, these trends did not predict organ dysfunction 7 days after ICU admission. Thus, PAI-1, CRP, WBC, and procalcitonin seem to correlate merely with the intensity of inflammation and cannot be predictive of organ dysfunction.

Protein C and sTM are closely linked. Once thrombin binds with endothelial thrombomodulin, protein C is activated and sTM is released into the bloodstream. This process inactivates the procoagulant function of thrombin. There are several studies that have shown that thrombomodulin indicates endothelial injury and correlates with DIC, multiple organ failure, and mortality (1,24,28). In our previous study, we found that sTM was an independent, predictive biomarker for the development of AKI and that it outperformed other coagulation and inflammation biomarkers associated with organ function in patients with sepsis (21). In this study, sTM was closely related to organ dysfunction; however, protein C activity was more obvious. This indicates that although sTM reveals the severity of the endothelial injury and the presence of AKI, it is not as specific an indicator as protein C activity when determining systemic organ functions. Since the number of patients in the SOFA 13–24 group was relatively small, the statistical significance of this biomarker might be underestimated.

One study suggested that antithrombin III predicts organ dysfunction (29); however, our study showed that protein C had superior accuracy for predicting the SOFA score 7 days after ICU admission. This indicates that endothelial biomarkers may be better predictors of organ dysfunction than other common coagulation markers. This supports the idea that endothelial injury is caused during the early phase of inflammation in sepsis and thus directly relates to organ dysfunction.

Our study had several limitations. First, this was a single-center, retrospective, observational study with a more homogenous patient population. In addition, not all biomarkers in every patient could be measured completely throughout the study. However, protein C was measured in 86.4% of this population; therefore, although this study might not represent a new area of investigation, we believe that the sample size was large enough to make our findings more reliable. Finally, antithrombin III and recombinant thrombomodulin were sometimes administered to patients with the most severe organ dysfunctions, and this could have had an influence on several biomarker readings in this study. We excluded potentially altered values after administration of these drugs, and thus, the number of patients that could be influenced by the administration of these drugs was relatively small. Further studies are warranted to evaluate the ability of these biomarkers to predict organ dysfunction in more severe cases.

Despite these limitations, this study presented several strengths. One is that this study had a considerable number of patients. Furthermore, this is the first study to evaluate several biomarkers (depicting endothelial function, coagulation, and inflammation variables) in relation to organ dysfunction after 7 days of ICU treatment. Although the recombinant form of human activated protein C failed as a treatment measure for sepsis, possible treatment to increase the level of protein C activity might decrease sepsis-related mortality in the future.

CONCLUSIONS

Protein C was superior for the prediction of organ dysfunction after 7 days of ICU treatment when compared with other biomarkers of endothelial function, inflammation, and coagulation. CRP and WBC did not significantly differ in accordance with the severity of organ dysfunction, especially within the first 3 days. PAI-1 and procalcitonin might be the best biomarkers to represent the extent of septic injury rather than predicting organ dysfunction. Thus, we conclude that protein C readings are an ideal tool to monitor organ dysfunction in sepsis patients.

ACKNOWLEDGMENTS

We acknowledge the assistance of the intensive care nursing staff at Jichi Medical University Hospital, Tochigi, Japan.

Supplementary Material

REFERENCES

1. Lin SM, Wang YM, Lin HC, et al. Serum thrombomodulin level relates to the clinical course of disseminated intravascular coagulation, multiorgan dysfunction syndrome, and mortality in patients with sepsis. Crit Care Med 2008; 36:683–689
2. Shapiro NI, Schuetz P, Yano K, et al. The association of endothelial cell signaling, severity of illness, and organ dysfunction in sepsis. Crit Care 2010; 14:R182
3. Reinhart K, Bayer O, Brunkhorst F, et al. Markers of endothelial damage in organ dysfunction and sepsis. Crit Care Med 2002; 30:S302–S312
4. Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 2016; 315:801–810
5. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: A severity of disease classification system. Crit Care Med 1985; 13:818–829
6. Vincent JL, Moreno R, Takala J, 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; 22:707–710
7. National Kidney FoundationK/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis 2002; 39:S1–S266
8. Pickering JW, Endre ZH. Back-calculating baseline creatinine with MDRD misclassifies acute kidney injury in the intensive care unit. Clin J Am Soc Nephrol 2010; 5:1165–1173
9. Taylor FB Jr, Toh CH, Hoots WK, et al.; Scientific Subcommittee on Disseminated Intravascular Coagulation (DIC) of the International Society on Thrombosis and Haemostasis (ISTH)Towards definition, clinical and laboratory criteria, and a scoring system for disseminated intravascular coagulation. Thromb Haemost 2001; 86:1327–1330
10. Brunkhorst F, Sakr Y, Hagel S, et al. Protein C concentrations correlate with organ dysfunction and predict outcome independent of the presence of sepsis. Anesthesiology 2007; 107:15–23
11. Macias WL, Nelson DR. Severe protein C deficiency predicts early death in severe sepsis. Crit Care Med 2004; 32:S223–S228
12. Shaw AD, Vail GM, Haney DJ, et al. Severe protein C deficiency is associated with organ dysfunction in patients with severe sepsis. J Crit Care 2011; 26:539–545
13. Shorr AF, Bernard GR, Dhainaut JF, et al. Protein C concentrations in severe sepsis: An early directional change in plasma levels predicts outcome. Crit Care 2006; 10:R92
14. Shorr AF, Nelson DR, Wyncoll DL, et al. Protein C: A potential biomarker in severe sepsis and a possible tool for monitoring treatment with drotrecogin alfa (activated). Crit Care 2008; 12:R45
15. Franscini N, Bachli EB, Blau N, et al. Gene expression profiling of inflamed human endothelial cells and influence of activated protein C. Circulation 2004; 110:2903–2909
16. Griffin JH, Fernández JA, Mosnier LO, et al. The promise of protein C. Blood Cells Mol Dis 2006; 36:211–216
17. Gierer P, Hoffmann JN, Mahr F, et al. Activated protein C reduces tissue hypoxia, inflammation, and apoptosis in traumatized skeletal muscle during endotoxemia. Crit Care Med 2007; 35:1966–1971
18. Griffin JH, Fernández JA, Gale AJ, et al. Activated protein C. J Thromb Haemost 2007; 5Suppl 173–80
19. Mosnier LO, Zlokovic BV, Griffin JH. The cytoprotective protein C pathway. Blood 2007; 109:3161–3172
20. Bouchard J, Malhotra R, Shah S, et al. Levels of protein C and soluble thrombomodulin in critically ill patients with acute kidney injury: A multicenter prospective observational study. Plos One 2015; 10:e0120770
21. Katayama S, Nunomiya S, Koyama K, et al. Markers of acute kidney injury in patients with sepsis: The role of soluble thrombomodulin. Crit Care 2017; 21:229
22. Madoiwa S, Nunomiya S, Ono T, et al. Plasminogen activator inhibitor 1 promotes a poor prognosis in sepsis-induced disseminated intravascular coagulation. Int J Hematol 2006; 84:398–405
23. Koyama K, Madoiwa S, Nunomiya S, et al. Combination of thrombin-antithrombin complex, plasminogen activator inhibitor-1, and protein C activity for early identification of severe coagulopathy in initial phase of sepsis: A prospective observational study. Crit Care 2014; 18:R13
24. Ueno H, Hirasawa H, Oda S, et al. Coagulation/fibrinolysis abnormality and vascular endothelial damage in the pathogenesis of thrombocytopenic multiple organ failure. Crit Care Med 2002; 30:2242–2248
25. Leithäuser B, Matthias FR, Nicolai U, et al. Hemostatic abnormalities and the severity of illness in patients at the onset of clinically defined sepsis. Possible indication of the degree of endothelial cell activation? Intensive Care Med 1996; 22:631–636
26. Hoshino K, Kitamura T, Nakamura Y, et al. Usefulness of plasminogen activator inhibitor-1 as a predictive marker of mortality in sepsis. J Intensive Care 2017; 5:42
27. Mesters RM, Flörke N, Ostermann H, et al. Increase of plasminogen activator inhibitor levels predicts outcome of leukocytopenic patients with sepsis. Thromb Haemost 1996; 75:902–907
28. Iba T, Yagi Y, Kidokoro A, et al. Increased plasma levels of soluble thrombomodulin in patients with sepsis and organ failure. Surg Today 1995; 25:585–590
29. Iba T, Kidokoro A, Fukunaga M, et al. Association between the severity of sepsis and the changes in hemostatic molecular markers and vascular endothelial damage markers. Shock 2005; 23:25–29
Keywords:

biomarker; plasminogen activator inhibitor-1; protein C; sepsis; Sequential Organ Failure Assessment score; thrombomodulin

Supplemental Digital Content

Copyright (c) 2019 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.