- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07822412
PRIME Sepsis Trial: Early Sepsis Detection in the Emergency Department Using Presepsin and Immature Granulocytes
PRIME-Sepsis Trial: Presepsin and Immature Granulocytes for Multicenter Early Sepsis Detection in the Emergency Department: A Prospective Observational Study
Study Overview
Status
Conditions
Detailed Description
Sepsis is characterized by a dysregulated host inflammatory response to infection, potentially leading to multiple organ dysfunction syndrome (MODS) and death. Globally, the estimated annual incidence of sepsis ranges from 18 to 31.5 million cases, with mortality rates as high as 30%. Approximately 70% of sepsis patients are initially managed in the emergency department (ED). Although delayed recognition and treatment are associated with poorer outcomes, and early evidence-based intervention significantly improves survival , early identification of sepsis in the ED remains a formidable clinical challenge . Despite the critical need for prompt intervention, research indicates that the detection of infection is often delayed by more than 4 hours after hospital admission and by over 8 hours in approximately 30% of ED cases.
Diverse biomarkers have been proposed to facilitate timely diagnosis, risk stratification, and the initiation of appropriate treatment. Complete blood count (CBC) parameters are particularly advantageous in the ED due to their rapid turnaround time, low cost, and repeatability. Traditionally, white blood cell (WBC) count and immature granulocyte (IG) count have served as first-line indicators. Advanced hematology technologies now provide detailed morphologic data (e.g., cell volume and structural changes), potentially enhancing the diagnostic value of these parameters. While IG has been recognized as a marker of systemic inflammation and sepsis, its clinical utility remains a subject of ongoing debate. Specifically, some studies suggest limited predictive value for long-term outcomes such as 28-day mortality, leading to inconsistent conclusions regarding its diagnostic reliability when used in isolation for the detection of sepsis.
Recent investigations into IG for ED sepsis diagnosis have reported areas under the receiver operating characteristic curve (AUC) ranging from 0.52 to 0.93. This pronounced variability is likely attributable to differences in study methodologies and patient populations. Concurrently, Presepsin (soluble CD14 subtype, sCD14-ST) has emerged as a promising alternative biomarker. Presepsin is generated via monocyte activation and pathogen phagocytosis, resulting in a rapid surge in circulating levels during the incipient immune response. Evidence suggests that Presepsin rises earlier than conventional biomarkers and correlates strongly with sepsis severity and clinical outcomes. Specifically, Presepsin has demonstrated superior or comparable diagnostic performance to C-reactive protein (CRP) and procalcitonin (PCT) in emergency settings.
Previous investigations have consistently demonstrated the superior diagnostic performance of Presepsin, with reported Area Under the Receiver Operating Characteristic curve (AUROC) values often exceeding 0.90 in both emergency sepsis presentations and complex postoperative infectious settings, supporting its role as a benchmark biomarker for early infection detection.
In the PRIME-Sepsis Trial (Presepsin and Immature Granulocytes for Multicenter Early Sepsis Detection), we aim to evaluate the synergistic diagnostic accuracy of integrating IG and Presepsin for identifying sepsis in adult patients with a high clinical suspicion of infection in the ED. While Presepsin offers superior diagnostic potential in the hyper-acute phase, IG provides a readily available, cost-effective reflection of the systemic hematopoietic response. By synergizing these complementary biomarkers, our primary objective is to assess the incremental diagnostic yield of a combined molecular-cellular model against multiple reference standards (Sepsis-2, Sepsis-3, and qSOFA). This approach will enable us to derive and evaluate a novel dual-parameter diagnostic algorithm, ultimately facilitating earlier clinical decision-making and improving prognostic accuracy in diverse emergency care settings. This prospective, multicenter design minimizes the biases inherent in previous retrospective analyses, providing a more robust foundation for clinical implementation.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Chen June Seak, M.D
- Phone Number: +886-975-365-802
- Email: julianseak@hotmail.com
Study Locations
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New Taipei City, Taiwan, 23652
- Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital
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Contact:
- Chen June Seak
- Phone Number: +886-975-365-802
- Email: julianseak@hotmail.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age: Adult patients (≥ 18 years old) presenting to the EDs of the participating sites.
Clinical Suspicion of Infection: A high clinical suspicion of infection as determined by the attending emergency physician, accompanied by either a Systemic Inflammatory Response Syndrome (SIRS) score ≥ 2 or a Quick Sequential Organ Failure Assessment (qSOFA) score ≥ 2.
Rationale: This dual-criteria strategy (SIRS or qSOFA) reflects a pragmatic, high-sensitivity approach designed to capture the full spectrum of sepsis in the emergency setting, overcoming the sensitivity limitations of using a single scoring system.
- Feasibility of Biomarker Collection: Ability to obtain blood samples for IG and Presepsin measurement within 2 hours of ED arrival.
- Informed Consent: Provision of written informed consent obtained from the patient or their legally authorized representative (LAR).
Exclusion Criteria:
- Severe Immunosuppression: Active chemotherapy, history of organ transplantation, or long-term high-dose corticosteroid therapy that may confound leukocyte kinetics or suppress systemic inflammatory responses.
- Hematological Conditions: Documented hematological malignancies or myelodysplastic syndromes (MDS) capable of altering baseline IG profiles.
- Pregnancy or lactation, due to the potential for pregnancy-induced physiological and immunological variability.
- Prolonged Prior Hospitalization: Patients transferred from another facility after an admission of >24 hours, as extensive prior intervention may obscure the hyper-acute biomarker kinetics critical for early diagnosis.
- Consent Issues: Refusal to provide informed consent by the patient or their LAR.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Suspected Sepsis Cohort
This is a purely observational study.
Peripheral blood samples are collected at enrollment (T0) solely for the laboratory measurement of Presepsin and immature granulocytes (IG).
This process does not alter, delay, or interfere with standard clinical diagnosis, management, or treatment decisions in the emergency department.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Diagnostic Accuracy of Presepsin for Early Sepsis Screening
Time Frame: At enrollment (Time 0 / Emergency Department presentation)
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The diagnostic performance of Presepsin (measured in pg/mL) will be evaluated using the Area Under the Receiver Operating Characteristic curve (AUROC).
The AUROC will be analyzed to evaluate the ability of Presepsin to differentiate patients with sepsis from those with non-infectious systemic inflammatory response syndrome (SIRS).
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At enrollment (Time 0 / Emergency Department presentation)
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Diagnostic Accuracy of Immature Granulocytes for Early Sepsis Screening
Time Frame: At enrollment (Time 0 / Emergency Department presentation)
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The diagnostic performance of immature granulocytes (IG, measured in percentage) will be evaluated using the Area Under the Receiver Operating Characteristic curve (AUROC).
The AUROC will be analyzed to evaluate the ability of IG to differentiate patients with sepsis from those with non-infectious systemic inflammatory response syndrome (SIRS).
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At enrollment (Time 0 / Emergency Department presentation)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Prognostic Value of Presepsin for Predicting Septic Shock Development
Time Frame: Through 30 days after enrollment
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Evaluation of the capability of Presepsin (measured in pg/mL) to predict progression from early sepsis to septic shock.
The prognostic performance will be analyzed by calculating the AUROC, sensitivity, specificity, positive predictive value, and negative predictive value.
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Through 30 days after enrollment
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Prognostic Value of Immature Granulocytes for Predicting Septic Shock Development
Time Frame: Through 30 days after enrollment
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Evaluation of the capability of immature granulocytes (IG, measured in percentage) to predict progression from early sepsis to septic shock.
The prognostic performance will be analyzed by calculating the AUROC, sensitivity, specificity, positive predictive value, and negative predictive value.
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Through 30 days after enrollment
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Association Between Initial Presepsin Levels and 30-Day All-Cause Mortality
Time Frame: 30 days post-enrollment
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The correlation and association between initial Presepsin concentration (measured in pg/mL at emergency department presentation) and 30-day all-cause mortality will be analyzed.
The prognostic performance will be evaluated by calculating the Area Under the Receiver Operating Characteristic curve (AUROC) and the Odds Ratio (OR) derived from multiple logistic regression analysis to determine the predictive capability of Presepsin for 30-day mortality.
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30 days post-enrollment
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Association Between Initial Immature Granulocytes and 30-Day All-Cause Mortality
Time Frame: 30 days post-enrollment
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The correlation and association between initial immature granulocytes (IG, measured in percentage at emergency department presentation) and 30-day all-cause mortality will be analyzed.
The prognostic performance will be evaluated by calculating the Area Under the Receiver Operating Characteristic curve (AUROC) and the Odds Ratio (OR) derived from multiple logistic regression analysis to determine the predictive capability of IG for 30-day mortality.
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30 days post-enrollment
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Collaborators and Investigators
Sponsor
Investigators
- Study Chair: Chi Jui Lin, Department of Medical Laboratory, New Taipei Municipal Tucheng Hospital
Publications and helpful links
General Publications
- Bone RC, Balk RA, Cerra FB, Dellinger RP, Fein AM, Knaus WA, Schein RM, Sibbald WJ. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest. 1992 Jun;101(6):1644-55. doi: 10.1378/chest.101.6.1644.
- Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, Sevransky JE, Sprung CL, Douglas IS, Jaeschke R, Osborn TM, Nunnally ME, Townsend SR, Reinhart K, Kleinpell RM, Angus DC, Deutschman CS, Machado FR, Rubenfeld GD, Webb S, Beale RJ, Vincent JL, Moreno R; Surviving Sepsis Campaign Guidelines Committee including The Pediatric Subgroup. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med. 2013 Feb;39(2):165-228. doi: 10.1007/s00134-012-2769-8. Epub 2013 Jan 30.
- Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983 Sep;148(3):839-43. doi: 10.1148/radiology.148.3.6878708.
- White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011 Feb 20;30(4):377-99. doi: 10.1002/sim.4067. Epub 2010 Nov 30.
- Evans L, Rhodes A, Alhazzani W, Antonelli M, Coopersmith CM, French C, Machado FR, Mcintyre L, Ostermann M, Prescott HC, Schorr C, Simpson S, Wiersinga WJ, Alshamsi F, Angus DC, Arabi Y, Azevedo L, Beale R, Beilman G, Belley-Cote E, Burry L, Cecconi M, Centofanti J, Coz Yataco A, De Waele J, Dellinger RP, Doi K, Du B, Estenssoro E, Ferrer R, Gomersall C, Hodgson C, Moller MH, Iwashyna T, Jacob S, Kleinpell R, Klompas M, Koh Y, Kumar A, Kwizera A, Lobo S, Masur H, McGloughlin S, Mehta S, Mehta Y, Mer M, Nunnally M, Oczkowski S, Osborn T, Papathanassoglou E, Perner A, Puskarich M, Roberts J, Schweickert W, Seckel M, Sevransky J, Sprung CL, Welte T, Zimmerman J, Levy M. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021. Intensive Care Med. 2021 Nov;47(11):1181-1247. doi: 10.1007/s00134-021-06506-y. Epub 2021 Oct 2. No abstract available.
- Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P, Angus DC, Reinhart K; International Forum of Acute Care Trialists. Assessment of Global Incidence and Mortality of Hospital-treated Sepsis. Current Estimates and Limitations. Am J Respir Crit Care Med. 2016 Feb 1;193(3):259-72. doi: 10.1164/rccm.201504-0781OC.
- Vincent JL, Jones G, David S, Olariu E, Cadwell KK. Frequency and mortality of septic shock in Europe and North America: a systematic review and meta-analysis. Crit Care. 2019 May 31;23(1):196. doi: 10.1186/s13054-019-2478-6.
- Karon BS, Tolan NV, Wockenfus AM, Block DR, Baumann NA, Bryant SC, Clements CM. Evaluation of lactate, white blood cell count, neutrophil count, procalcitonin and immature granulocyte count as biomarkers for sepsis in emergency department patients. Clin Biochem. 2017 Nov;50(16-17):956-958. doi: 10.1016/j.clinbiochem.2017.05.014. Epub 2017 May 25.
- Levy MM, Rhodes A, Phillips GS, Townsend SR, Schorr CA, Beale R, Osborn T, Lemeshow S, Chiche JD, Artigas A, Dellinger RP. Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year study. Crit Care Med. 2015 Jan;43(1):3-12. doi: 10.1097/CCM.0000000000000723.
- Seymour CW, Gesten F, Prescott HC, Friedrich ME, Iwashyna TJ, Phillips GS, Lemeshow S, Osborn T, Terry KM, Levy MM. Time to Treatment and Mortality during Mandated Emergency Care for Sepsis. N Engl J Med. 2017 Jun 8;376(23):2235-2244. doi: 10.1056/NEJMoa1703058. Epub 2017 May 21.
- Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982 Apr;143(1):29-36. doi: 10.1148/radiology.143.1.7063747.
- Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006 Nov-Dec;26(6):565-74. doi: 10.1177/0272989X06295361.
- Uffen JW, Oosterheert JJ, Schweitzer VA, Thursky K, Kaasjager HAH, Ekkelenkamp MB. Interventions for rapid recognition and treatment of sepsis in the emergency department: a narrative review. Clin Microbiol Infect. 2021 Feb;27(2):192-203. doi: 10.1016/j.cmi.2020.02.022. Epub 2020 Feb 29.
- Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A, Rubenfeld G, Kahn JM, Shankar-Hari M, Singer M, Deutschman CS, Escobar GJ, Angus DC. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016 Feb 23;315(8):762-74. doi: 10.1001/jama.2016.0288.
- Yao S, Kaido T, Uozumi R, Hirata M, Iwamura S, Miyachi Y, Macshut M, Sharshar M, Yagi S, Uemoto S. Diagnostic potential of presepsin in bacterial infection following hepato-biliary-pancreatic surgery: A prospective observational study. J Hepatobiliary Pancreat Sci. 2020 Oct;27(10):756-766. doi: 10.1002/jhbp.802. Epub 2020 Aug 21.
- Ruan L, Chen GY, Liu Z, Zhao Y, Xu GY, Li SF, Li CN, Chen LS, Tao Z. The combination of procalcitonin and C-reactive protein or presepsin alone improves the accuracy of diagnosis of neonatal sepsis: a meta-analysis and systematic review. Crit Care. 2018 Nov 21;22(1):316. doi: 10.1186/s13054-018-2236-1.
- Piccioni A, Baroni S, Rozzi G, Belvederi F, Leggeri S, Spagnuolo F, Novelli M, Pignataro G, Candelli M, Covino M, Gasbarrini A, Franceschi F. Evaluation of Presepsin for Early Diagnosis of Sepsis in the Emergency Department. J Clin Med. 2025 Apr 4;14(7):2480. doi: 10.3390/jcm14072480.
- Yaegashi Y, Shirakawa K, Sato N, Suzuki Y, Kojika M, Imai S, Takahashi G, Miyata M, Furusako S, Endo S. Evaluation of a newly identified soluble CD14 subtype as a marker for sepsis. J Infect Chemother. 2005 Oct;11(5):234-8. doi: 10.1007/s10156-005-0400-4.
- Chenevier-Gobeaux C, Borderie D, Weiss N, Mallet-Coste T, Claessens YE. Presepsin (sCD14-ST), an innate immune response marker in sepsis. Clin Chim Acta. 2015 Oct 23;450:97-103. doi: 10.1016/j.cca.2015.06.026. Epub 2015 Jul 9.
- Paraskevas T, Chourpiliadi C, Demiri S, Micahilides C, Karanikolas E, Lagadinou M, Velissaris D. Presepsin in the diagnosis of sepsis. Clin Chim Acta. 2023 Oct 1;550:117588. doi: 10.1016/j.cca.2023.117588. Epub 2023 Oct 7.
- Jeon K, Lee N, Jeong S, Park MJ, Song W. Immature granulocyte percentage for prediction of sepsis in severe burn patients: a machine leaning-based approach. BMC Infect Dis. 2021 Dec 16;21(1):1258. doi: 10.1186/s12879-021-06971-2.
- Ha SO, Park SH, Park SH, Park JS, Huh JW, Lim CM, Koh Y, Hong SB, Jang S. Fraction of immature granulocytes reflects severity but not mortality in sepsis. Scand J Clin Lab Invest. 2015 Jan;75(1):36-43. doi: 10.3109/00365513.2014.965736. Epub 2014 Oct 24.
- Hwang YJ, Chung SP, Park YS, Chung HS, Lee HS, Park JW, Lee JW, Hong JH, You JS, Park I. Newly designed delta neutrophil index-to-serum albumin ratio prognosis of early mortality in severe sepsis. Am J Emerg Med. 2015 Nov;33(11):1577-82. doi: 10.1016/j.ajem.2015.06.012. Epub 2015 Jun 14.
- Kim H, Kong T, Chung SP, Hong JH, Lee JW, Joo Y, Ko DR, You JS, Park I. Usefulness of the Delta Neutrophil Index as a Promising Prognostic Marker of Acute Cholangitis in Emergency Departments. Shock. 2017 Mar;47(3):303-312. doi: 10.1097/SHK.0000000000000722.
- Farkas JD. The complete blood count to diagnose septic shock. J Thorac Dis. 2020 Feb;12(Suppl 1):S16-S21. doi: 10.21037/jtd.2019.12.63.
- Filbin MR, Arias SA, Camargo CA Jr, Barche A, Pallin DJ. Sepsis visits and antibiotic utilization in U.S. emergency departments*. Crit Care Med. 2014 Mar;42(3):528-35. doi: 10.1097/CCM.0000000000000037.
- Wang HE, Shapiro NI, Angus DC, Yealy DM. National estimates of severe sepsis in United States emergency departments. Crit Care Med. 2007 Aug;35(8):1928-36. doi: 10.1097/01.CCM.0000277043.85378.C1.
- Barichello T, Generoso JS, Singer M, Dal-Pizzol F. Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review. Crit Care. 2022 Jan 6;26(1):14. doi: 10.1186/s13054-021-03862-5.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 202600705B0
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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