ICU Management & Practice, Volume 23 - Issue 1, 2023

A biomarker defines a measurable indicator of a patient's medical situation that can be measured precisely and accurately. Biomarkers provide value for diagnosis, prognosis, early disease detection, risk stratification, suitable treatment (theragnostic), and trial improvement for patients with sepsis or presumed sepsis.


Sepsis is characterised by a dysregulated immune response that leads to organ dysfunction (Arina and Singer 2021). Host response biomarkers take part in a critical role in diagnosis, early detection of organ dysfunction, risk stratification, prognosis, and patient managing, including antibiotic stewardship (Huang and Ramirez 2020). Biomarkers may also be useful for trial improvement to recognise suitable patients and/or risk categorisation for an intervention.

An extensive range of biomarkers, measured by a host of different technologies, are being explored to distinguish a systemic inflammatory response syndrome (SIRS) rapidly, which is a disproportionate defensive body’s response to a damaging stressor (for example, infection, trauma, surgery, acute inflammation, ischaemia or reperfusion, or cancer) (Chakraborty and Burns 2022) or prompt detection of infection-triggered organ failure (sepsis).

These biomarkers embrace measurement of acute-phase proteins, cytokines, chemokines, damage-associated molecular patterns (DAMPs), endothelial cell markers, leukocyte surface markers, non-coding RNAs, micro-RNA, and soluble receptors, as well as metabolites and alterations in gene expression (transcriptomics). Biomarkers may assist in stratifying septic patients into biological phenotypes, for example, hyperinflammatory versus immunosuppressive.

Lately, the advancement of biomarkers in the intensive care unit (ICU) has been vast. However, only a few are commonly used in clinical procedure: procalcitonin (PCT), and, newly, Mid-region fragment of pro-adrenomedullin (MR-proADM). Others are under investigation with encouraging results: pancreatic stone protein (PSP), soluble Triggering Receptor Expressed on Myeloid Cells (sTREM), and presepsin (Table 1).


PCT has been extensively investigated as a decision-making aid in critically ill patients with sepsis. PCT, a 116-amino acid precursor hormone of calcitonin, is the most analysed biomarker in sepsis. Its production is caused by systemic inflammation due to severe infection in response to various pro-inflammatory signals (Becker et al. 2008). The Research Committee of the Surviving Sepsis Campaign (SSC) believes research in biomarkers in sepsis as a priority for future years (Coopersmith et al. 2018) and the 2021 SSC guidelines suggest the measurement of PCT levels to help shortening the duration of antimicrobial treatment (Evans et al.2021).

PCT and diagnosis

PCT had similar performance in guessing positive sepsis results with AUROC values of 0.75 and 0.73, respectively (Mihajlovic et al .2017). A cut-off value of 1.1 ng/ml [sensitivity of 77% and specificity of 79%; area under the receiver operating characteristic curve of 0.85 (95% CI 0·81–0·88)] could be used for diagnosis of sepsis, depending on pre-test probability (Wacker et al. 2013). Another study gave AUROC values of 0.87 for PCT in predicting bacteraemia (Leli et al. 2016). Plasma concentrations of PCT were gradually higher in sepsis and septic shock than in non-septic patients. PCT was slightly superior to presepsin in one more study of septic patients admitted to intensive care (Enguix-Armada et al. 2016).

PCT and prognosis

In patients with septic shock and multiorgan dysfunction, a sustained high concentration of PCT is associated with significantly lower survival. PCT clearance could be a useful tool for monitoring the clinical evolution of the patients and the prognosis can be assessed by PCT clearance at 48h (Ruiz-Rodríguez et al. 2012).

Procalcitonin-guided antimicrobial stewardship in sepsis helps individual assessments on the duration of antibiotics, treatment approaches, and diagnostic interventions (Saeed et al. 2019). In earlier studies, procalcitonin assistance in the intensive care unit improved clinical results and diminished the length of stay, with no associated problems (Iankova et al. 2018; Balk et al. 2017). Adding up, studies are describing the mortality advantages of procalcitonin guidance. In a prior meta-analysis (Lam et al. 2018) the positive effects of a procalcitonin-guided strategy for de-escalation in decreasing the threat of death were found. Also, in another study, procalcitonin-guided therapy in patients with sepsis reduced mortality (Wirz et al.2018).

PCT guided therapy

Changes in PCT plasma concentrations have been helpful to distinguish patients with a reasonable response to antimicrobial treatment and have their therapy de-escalated. A decrease to levels < 0.5 ng/ml or by at least 80-90% of the peak in combination with clinical progress can be applied to support the clinical decision to lessen antimicrobial coverage, thus escaping from antibiotic-related adverse effects (de Jong et al. 2016).

PCT-guided de-escalation

PCT-guided de-escalation algorithms rely on the early evidence demonstrating that patients with positive progress and satisfactory reaction to antibiotic treatment have a rapid decline in PCT concentrations (Harbarth et al. 2001). In at least three meta-analyses, PCT-guided algorithms have been efficient and secure to de-escalate antibiotics in sepsis and septic shock, with no side effects on patient results (Wirz et al. 2018; Lam et al. 2018).

Previous studies revealed patients with lower respiratory tract infections can often be de-escalated when PCT concentrations are low, provided that medical assessment supplements biomarker measurements. A patient-level meta-analysis of 2,910 patients demonstrated that PCT guidance reduced antibiotic treatment period to 5.7 days from 6.2 days in controls (p < 0.0001) (Wacker et al. 2021).

In another randomised study of 1,546 ICU patients, PCT guidance lessened the duration of antibiotic therapy. It improved the number of antibiotic-free days matched to control, though the number of ventilator-associated pneumonia (VAP) patients was not specified (Kim et al. 2019). Numerous observational studies have shown the absence of utility of PCT measurements in VAP diagnosis. The primary reason for explaining these conclusions was that another non-infectious diseases or infections out of the lung can raise PCT concentrations in patients on mechanical ventilation. The recent ERS/ESICM/ESCMID/ALAT guidelines (Gibot et al. 2012) suggest that PCT can be helpful to guide treatment duration or extend it in several circumstances, such as inappropriate antibiotic treatments, infections caused by multidrug-resistant or extensively drug-resistant microorganisms.

Some analyses do not promote the use of PCT-guided de-escalation in sepsis. However, these studies have incorporated in non-septic or non-critically ill patients with lower respiratory tract diseases (Huang et al. 2018).

Mid-Region Fragment of Pro-adrenomedullin

Mid-region fragment of proadrenomedullin (MR-proADM) quickly suggests concentrations of adrenomedullin, a potent vasodilator agent with immune-modulating and metabolic properties that rises in sepsis. MR-proADM is synthesised in different tissues, including the adrenal cortex, kidney, lung, blood vessels, and heart. It has biological assets, including vasodilating, inotropic, diuretic, natriuretic, and bronchodilating. In one study, mid-regional pro adrenomedullin (MR-proADM) was an independent prognosticator of five different organ dysfunctions (respiratory, coagulation, cardiovascular, neurological, and renal), compared to lactate which predicted three (coagulation, cardiovascular and neurological), PCT two (cardiovascular and renal) and C-Reactive protein (CRP) none (Martín-Fernández et al. 2021).

MR-proADM most precisely recognised patients with a high likelihood of further disease progression compared to other biomarkers and clinical scores (Schuetz 2015). A total of 1089 individuals with either sepsis (142) or septic shock (977) were included in a randomised controlled study. The MR-proADM level within the first 24 h after sepsis diagnosis was associated with 7-day mortality (AUROC 0.72, p < 0.001)and 90-day mortality (AUROC 0.7, p < 0.001). Patients with declining PCT levels but persistently high MR-proADM levels on day-1 or day-4 had a substantially higher mortality risk of 19.1 (8.0–45.9) and 43.1 (10.1–184.0), respectively; MR-proADM identifies disease severity and treatment response more accurately than established biomarkers and scores, adding additional information to facilitate rapid clinical decision-making and improve personalised sepsis treatment (Elke et al.2018). Adult patients hospitalised in ICU had their bioactive-MR-proADM levels measured in this retrospective observational study. This study comprised a total of 1867 patients, 632 septic patients, and 267 septic shock patients. The median bioactive-ADM was 74 pg/mL in sepsis patients, 107 pg/ mL in septic shock, and 29 pg/mL in non-septic patients. The association of elevated bioactive-ADM and mortality in sepsis patients and the ICU population resulted in O.R.s of 1.23 and 1.22, respectively (Lundberg et al. 2020).

Newly, the association has been reported between a higher clearance of MR-proADM levels during ICU stay and favourable outcomes, with survivors displaying a blood plasma concentration fall to 1.65 nmol/L 48 hours after admission and lower levels on day five compared to non-survivors. The role of MR-proADM in the early identification of severe cases at higher risk of organ dysfunction has been evaluated, irrespective of the location of the infection source. Furthermore, MR-proADM is used to aid clinical decisions regarding the use of hospital and ICU resources, having the highest predictive value for mortality compared to PCT, CRP, Sequential Organ Failure Assessment (SOFA) scores, and lactate (Baldirà et al. 2020).

In conclusion, MR-proADM is a good applicant in the prompt identification of sepsis patients with moderate illness severity but at threat of mortality and is a reliable marker of mortality danger and disease severity along time in sepsis (Andaluz-Ojeda et al. 2017).

Pancreatic Stone Protein

Pancreatic stone protein (PSP) is a 14 kDa insoluble polypeptide encoded by a single transcript of the reg gene, resulting in a 144-amino acid length glycoprotein, structurally similar to C-type lectin-like proteins (Jin et al. 2011) which are calcium-dependent glycan-binding proteins involved in the process of cell to cell and host-cell interaction, including adhesion and signalling receptors in homeostasis and innate immunity as well leukocyte and platelet trafficking in inflammatory responses (Varki et al. 2009). The role of PSP in the immune and inflammatory response to infection prompted its identification as a potential biomarker of infection and sepsis since a pivotal observation was accidently made in rat experiments by the group of Rolf Graf in which PSP was found to be an indicator of systemic stress (Graf et al. 2002).

PSP as a diagnostic tool for sepsis

PSP demonstrates a significant interaction between time and presence of sepsis suggesting that besides a fixed cut-off value (as in standard ROC curve analysis) the time-related kinetics of PSP has a crucial role in the identification of sepsis when considering the time-dependency of the infectious/septic event (Pugin et al. 2021). In a meta-analysis, the results of PSP were better than CRP or PCT for the diagnosis of community acquired infections in the emergency department and surgical infections after cardiac surgery (Prazak et al. 2021).

In a multicentric international prospective observational clinical study conducted in 14 ICUs in France, Switzerland, Italy, and the United Kingdom where adult patients at risk of nosocomial sepsis were included, clinical sepsis diagnosis was associated with an increase in biomarkers value over the 3 days preceding this diagnosis [PSP (p = 0.003), PCT (p = 0.025) and CRP (p = 0.009)] , of note that PSP started to increase 5 days before the clinical diagnosis of sepsis. So, serial PSP measurement demonstrated an increase of this marker the days preceding the onset of signs necessary to clinical diagnose sepsis (Pugin et al. 2021).

PSP as a prognostic tool

PSP has shown good performance in the prognosis of septic patients. PSP was evaluated in a cohort of 101 patients with VAP; the highest values were obtained in non-survivors (Boeck et al.2011). In another study, PSP was the only biomarker significantly increased in non-survivors (Que et al. 2012). In patients with septic shock, PSP was substantially higher in non-survivors in the first six hours after diagnosis and on the second day of admission to the ICU (Guadiana-Romualdo et al. 2019). In another study performed in 249 septic patients, higher PSP values were linked with clinical severity and non-survivors (Que et al. 2015).


Presepsin is a biomarker to identify sepsis, but its prognostic value has not been exhaustively reviewed. Known as soluble CD14 subtype, is a 13-kDa glycoprotein cleavage N-terminal fragment of CD14, released into circulation after activation of a pro-inflammatory signal cascade on contact with infectious agents (Wright et al. 1990). The diagnostic accuracy of presepsin in sepsis was established by a meta-analysis (Zhang et al. 2015) where eleven studies fulfilled the inclusion criteria; the overall diagnostic sensitivity of presepsin for sepsis was 0.83 (95% CI: 0.77–0.88), and specificity was 0.78 (95% CI: 0.72–0.83) but the major design deficits of the included studies were lack of prespecified thresholds and patient selection bias. Another meta-analysis (Yang et al. 2018) encompassed a total of 10 studies and 1617 patients were involved. Presepsin levels in the first sampling (within 24 hours) were considerably lower among survivors as matched with non-survivors: the pooled SMD between survivors and non-survivors was 0.92 (95% CI: 0.62–1.22) in the random effects model (I2 = 79%, P< 0.01). In subgroups, separated by the sepsis severity or study site, pooled SMD was consistently noting higher presepsin levels in non-survivals. A meta-analysis with 19 studies included (19 observational studies and no randomised controlled trials) that had enrolled 3012 patients, showed that the diagnostic accuracy of procalcitonin and presepsin in identifying infection was similar and that both were useful for early diagnosis of sepsis and subsequent reduction of mortality in critically ill adult patients (Kondo et al. 2015). Presepsin also has been demonstrated to have predictive value for circumstances other than sepsis such as cardiac surgery (Bomberg et al. 2017), haemophagocytic syndrome (Nanno et al. 2016), or renal failure (Nagata et al. 2015).

Soluble Triggering Receptor Ex-pressed on Myeloid Cells-1

The Triggering Receptor Expressed on Myeloid Cells (TREM) family includes several isoforms that share low sequence homology with each other and have only one immunoglobulin-like domain. Engagement of TREMs triggers a signalling pathway leading to intracellular calcium mobilisation, actin cytoskeleton rearrangement and activation of transcriptional factors. TREM-1 was first detected on both human and murine myeloid cells, especially neutrophils, mature monocytes and macrophages. Its expression at the cell-surface of these effector cells is significantly enhanced in skin, biological fluids and tissues infected by Gram-positive or Gram-negative bacteria as well as by fungi (Bouchon et al. 2001). The activation of TREM-1 by its still unidentified ligand in the presence of Toll-like receptor 2 (TLR2) or TLR4 ligands amplifies the production of proinflammatory cytokines. Additionally, activation of these TLRs upregulates TREM-1 expression (Bleharski et al. 2003). Thus, TREM-1 and TLRs collaborate to produce an inflammatory response. Besides its membrane-anchored form, a soluble form of TREM-1 (sTREM-1) is released and can be measured in several body fluids.

sTREM-1 and the diagnosis of septic shock

The newest meta-analysis on sTREM-1 as a diagnostic biomarker of sepsis in adult patients was published in 2012 (Wu et al. 2012). Its assumption was that plasma sTREM-1 had a moderate diagnostic performance in distinguishing sepsis from sterile inflammatory response and was not enough for sepsis identification, especially when pre-test probability of SIRS was high.

sTREM-1 as a prognostic marker of infection

In 63 consecutive septic patients, plasma sTREM-1 concentrations were measured sequentially (Gibot et al. 2005). The baseline plasma sTREM-1 concentration was higher in survivors and was found to be an independent factor associated with good outcome. In a meta-analysis, sTREM-1 plasmatic levels had a moderate prognostic meaning in evaluating the mortality of infection in adult patients (Su et al. 2016). In a cohort of 190 septic ICU patients, sTREM-1, PCT, leucocyte surface expression of CD64 and clinical severity scores were analysed. sTREM-1 was noticed to be the best prognostic biomarker amongst those studied (Charles et al. 2016).

sTREM-1 as a target molecule for adjuvant treatment of sepsis

Blockade of TREM-1 reduces inflammation and improves survival in animal models of bacterial sepsis. Nangibotide is a 12 amino-acid peptidic fragment derived from TREM-Like Transcript-1 (TELT-1), a receptor protein of TREM-1 family. Nangibotide can bind to TREM-1 ligand and modulate the amplification of the immune response caused by the activation of TREM-1 in sepsis.

In pre-clinical animal studies performed in peritonitis with septic shock patients, analogues of Nangibotide showed an improvement of inflammatory response and organ function, cardiovascular status, and survival (Derive et al. 2012; Derive et al. 2013). In a recent phase IIa clinical trial that investigated the safety and tolerability of three doses of Nangibotide in septic shock, Nangibotide-treated patients improved organ function biomarkers. This effect was bigger in the subgroup of patients with high circulating soluble TREM-1 (sTREM-1) levels. A phase 2b clinical trial, ASTONISH, evaluated its efficacy, safety, and tolerability in patients with septic shock, specially focused on the high sTREM-1 subgroup ( Identifier NCT04055909) (Francois et al. 2021). The results suggest a therapeutic potential of Nangibotide in septic shock patients with excessive activation of the TREM-1 pathway confirming also that the soluble TREM-1 biomarker predicts response to Nangibotide treatment.


The use of sepsis biomarkers for individualising treatments is promising. Recent progress in several areas of biomarkers research can transform the application of biomarkers as a chip at the bedside for diagnosis, predictive and prognostic enrichment in clinical studies, risk stratification, molecular phenotyping, and monitoring therapeutic response in more personalised medicine.

Statement of Ethics

We complied with the guidelines for human studies, and our research was conducted ethically in accordance with the World Medical Association Declaration of Helsinki. Written informed consent to publish this case was obtained and it was recorded in the medica history. Information revealing the subject’s identity was avoided.

Conflict of Interest



Andaluz-Ojeda D, Nguyen HB, Meunier-Beillard N et al. (2017) Superior accuracy of mid-regional proadrenomedullin for mortality prediction in sepsis with varying levels of illness severity. Ann Intensive Care. 7(1):15.


Arina P, Singer M (2021) Pathophysiology of sepsis. Curr Opin Anaesthesiol. 34(2):77-84.


Balk RA, Kadri SS, Cao Z et al. (2017) Effect of Procalcitonin Testing on Health-care Utilization and Costs in Critically Ill Patients in the United States. Chest. 151(1):23-33.


Baldirà J, Ruiz-Rodríguez JC, Wilson DC et al. (2020) Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code. Ann Intensive Care. 10(1):7.


Becker KL, Snider R, Nylen ES (2008) Procalcitonin assay in systemic inflammation, infection, and sepsis: clinical utility and limitations. Crit Care Med. 36(3):941-52.


Bleharski JR, Kiessler V, Buonsanti C et al. (2003) A role for triggering receptor expressed on myeloid cells-1 in host defense during the early-induced and adaptive phases of the immune response. J Immunol. 170(7):3812-8.


Boeck L, Graf R, Eggimann P et al. (2011) Pancreatic stone protein: a marker of organ failure and outcome in ventilator-associated pneumonia. Chest. 140(4):925-932.


Bomberg H, Klingele M, Wagenpfeil S et al. (2017) Presepsin (sCD14-ST) Is a Novel Marker for Risk Stratification in Cardiac Surgery Patients. Anesthesiology. 126(4):631-642.


Bouchon A, Facchetti F, Weigand MA et al. (2001) TREM-1 amplifies inflammation and is a crucial mediator of septic shock. Nature. 410(6832):1103-7.


Chakraborty RK, Burns B (2022) Systemic Inflammatory Response Syndrome. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing.


Charles PE, Noel R, Massin F et al. (2016) Significance of soluble triggering receptor expressed on myeloid cells-1 elevation in patients admitted to the intensive care unit with sepsis. BMC Infect Dis. 16(1):559.


Coopersmith CM, De Backer D, Deutschman CS et al. (2018) Surviving Sepsis Campaign: Research Priorities for Sepsis and Septic Shock. Crit Care Med. 46(8):1334-1356.


de Jong E, van Oers JA, Beishuizen A et al. (2016) Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 16(7):819-827.


Derive M, Boufenzer A, Bouazza Y et al. (2013) Effects of a TREM-like transcript 1-derived peptide during hypodynamic septic shock in pigs. Shock. 39: 176–182.


Derive M, Bouazza Y, Sennoun N et al. (2012) Soluble TREM-like transcript-1 regulates leukocyte activation and controls microbial sepsis. J Immunol. 188:5585–5592.


Elke G, Bloos F, Wilson DC et al. (2018) The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial. Crit Care. 22(1):79.


Enguix-Armada A, Escobar-Conesa R, García-De La Torre A et al. (2016) Usefulness of several biomarkers in the management of septic patients: C-reactive protein, procalcitonin, presepsin and mid-regional pro-adrenomedullin. Clin Chem Lab Med. 54(1):163-8.


Evans L, Rhodes A, Alhazzani W et al. (2021) Rationale and protocol for the efficacy, safety and tolerability of nangibotide in patients with septic shock (ASTONISH) phase IIb randomised controlled trial. BMJ Open. 11:e042921.


García De Guadiana-Romualdo, L, Albaladejo-Otón, Berger M et al. (2019) Prognostic performance of pancreatic stone protein in critically ill patients with sepsis. Biomark. Med. 13, 1469–1480.


Gibot S, Cravoisy A, Kolopp-Sarda MN et al. (2005) Time-course of sTREM (soluble triggering receptor expressed on myeloid cells)-1, procalcitonin, and C-reactive protein plasma concentrations during sepsis. Crit Care Med. 33(4):792-6.


Gibot S, Bene MC, Noel R et al. (2012) Combination biomarkers to diagnose sepsis in the critically ill patient. Am J Respir Crit Care Med. 186(1):65-71.


Graf R, Schiesser M, Lüssi A et al. (2002) Coordinate regulation of secretory stress proteins (PSP/reg, PAP I, PAP II, and PAP III) in the rat exocrine pancreas during experimental acute pancreatitis. J Surg Res. 105(2):136-44.


Harbarth S, Holeckova K, Froidevaux C et al. (2001) Diagnostic value of procalcitonin, interleukin-6, and interleukin-8 in critically ill patients admitted with suspected sepsis. Am J Respir Crit Care Med. 164(3):396-402.


Huang DT, Yealy DM, Filbin MR et al. (2018) Procalcitonin-Guided Use of Antibiotics for Lower Respiratory Tract Infection. N Engl J Med. 379(3):236-249


Huang DT, Ramirez P (2021) Biomarkers in the ICU: less is more? Yes. Intensive Care Med. 47(1):94-96.


Iankova I, Thompson-Leduc P, Kirson NY et al. (2018) Efficacy and Safety of Procalcitonin Guidance in Patients With Suspected or Confirmed Sepsis: A Systematic Review and Meta-Analysis. Crit Care Med. 46(5):691-698.


Jin CX, Hayakawa T, Ko SB et al. (2011) Pancreatic stone protein/regenerating protein family in pancreatic and gastrointestinal diseases. Intern Med. 50(15):1507-16.


Kim SJ, Hwang SO, Kim YW et al. (2019) Procalcitonin as a diagnostic marker for sepsis/septic shock in the emergency department; a study based on Sepsis-3 definition. Am J Emerg Med. 37(2):272-276.


Kondo Y, Umemura Y, Hayashida K et al. (2019) Diagnostic value of procalcitonin and presepsin for sepsis in critically ill adult patients: a systematic review and meta-analysis. J Intensive Care. 7:22.


Kumar A, Kwizera A, Lobo S et al. (2021) Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021. Intensive Care Med. 47(11):1181-1247.


Lam SW, Bauer SR, Fowler R et al. (2018) Systematic Review and Meta-Analysis of Procalcitonin-Guidance Versus Usual Care for Antimicrobial Management in Critically Ill Patients: Focus on Subgroups Based on Antibiotic Initiation, Cessation, or Mixed Strategies. Crit Care Med. 46(5):684-690.


Leli C, Ferranti M, Marrano U et al. (2016) Diagnostic accuracy of presepsin (sCD14-ST) and procalcitonin for prediction of bacteraemia and bacterial DNAaemia in patients with suspected sepsis. J Med Microbiol. 65(8):713-719.


Lundberg OHM, Lengquist M, Spångfors M et al. (2020) Circulating bioactive adrenomedullin as a marker of sepsis, septic shock and critical illness. Crit Care. 24(1):636.


Martín-Fernández M, Tamayo-Velasco Á, Aller R et al. (2021) Endothelial Dysfunction and Neutrophil Degranulation as Central Events in Sepsis Physiopathology. Int J Mol Sci. 22(12):6272.


Mihajlovic D, Brkic S, Uvelin A et al. (2017) Use of presepsin and procalcitonin for prediction of SeptiFast results in critically ill patients. J Crit Care. 40:197-201.


Nagata T, Yasuda Y, Ando M et al. (2015) Clinical impact of kidney function on presepsin levels. PLoS One. 10(6):e0129159.


Nanno S, Koh H, Katayama T, Hashiba M et al. (2016) Plasma Levels of Presepsin (Soluble CD14-subtype) as a Novel Prognostic Marker for Hemophagocytic Syndrome in Hematological Malignancies. Intern Med. 55(16):2173-84.


Prazak J, Irincheeva I, Llewelyn MJ et al. (2021) Accuracy of pancreatic stone protein for the diagnosis of infection in hospitalized adults: a systematic review and individual patient level meta-analysis. Crit Care. 25(1):182.

Pugin J, Daix T, Pagani JL et al. (2021) Serial measurement of pancreatic stone protein for the early detection of sepsis in intensive care unit patients: a prospective multicentric study. Crit Care. 25(1):151.


Que YA, Delodder F, Guessous I et al. (2012) Pancreatic stone protein as an early biomarker predicting mortality in a prospective cohort of patients with sepsis requiring ICU management. Crit Care. 16(4):R114.


Que YA, Guessous I, Dupuis-Lozeron E et al. (2015) Prognostication of Mortality in Critically Ill Patients With Severe Infections. Chest. 148(3):674-682.


Ruiz-Rodríguez JC, Caballero J, Ruiz-Sanmartin A et al. (2012) Usefulness of procalcitonin clearance as a prognostic biomarker in septic shock. A prospective pilot study. Med Intensiva. 36(7):475-80.


Saeed K, González Del Castillo J, Backous C et al. (2019) Hot topics on procalcitonin use in clinical practice, can it help antibiotic stewardship? Int J Antimicrob Agents. 54(6):686-696.

Schuetz P, Hausfater P, Amin D et al. (2015) Biomarkers from distinct biological pathways improve early risk stratification in medical emergency patients: the multinational, prospective, observational TRIAGE study. Crit Care. 19:377.


Su L, Liu D, Chai W et al. (2016) Role of sTREM-1 in predicting mortality of infection: a systematic review and meta-analysis. BMJ Open. 6(5).


Varki A, Cummings RD, Esko JD et al. editors (2009) Essentials of Glycobiology. 2nd ed. Cold Spring Harbor (NY): Cold Spring Harbor Laboratory Press.


Wacker C, Prkno A, Brunkhorst FM et al. (2013) Procalcitonin as a diagnostic marker for sepsis: a systematic review and meta-analysis. Lancet Infect Dis. 13(5):426-35.


Wirz Y, Meier MA, Bouadma L et al. (2018) Effect of procalcitonin-guided antibiotic treatment on clinical outcomes in intensive care unit patients with infection and sepsis patients: a patient-level meta-analysis of randomized trials. Crit Care. 22(1):191.


Wright SD, Ramos RA, Tobias PS et al. (1990) CD14, a receptor for complexes of lipopolysaccharide (LPS) and LPS binding protein. Science. 249(4975):1431-3.


Wu Y, Wang F, Fan X et al. (2012) Accuracy of plasma sTREM-1 for sepsis diagnosis in systemic inflammatory patients: a systematic review and meta-analysis. Crit Care. 16(6):R229.


Yang HS, Hur M, Yi A et al. (2018) Prognostic value of presepsin in adult patients with sepsis: Systematic review and meta-analysis. PLoS One. 13(1):e0191486.


Zhang J, Hu ZD, Song J et al. (2015) Diagnostic Value of Presepsin for Sepsis: A Systematic Review and Meta-Analysis. Medicine (Baltimore). 94(47):e2158.