Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital
New Taipei City, 23652, Taiwan
NCT Number: NCT07822412
Early identification and timely intervention for sepsis in the emergency department (ED) are critical for improving patient outcomes. However, clinical diagnosis remains challenging due to the non-specific nature of early systemic symptoms. This study protocol aims to evaluate the diagnostic accuracy of a combined approach using Immature Granulocytes (IG) and Presepsin (sCD14-ST) for the early detection of sepsis in undifferentiated ED patients.
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Get Notified18 year and older
All sexes
Observational
New Taipei City, 23652, Taiwan
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
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.
Exclusion criteria
Time frame: At enrollment (Time 0 / Emergency Department presentation)
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).
Time frame: At enrollment (Time 0 / Emergency Department presentation)
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).
Time frame: Through 30 days after enrollment
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.
Time frame: Through 30 days after enrollment
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.
Time frame: 30 days post-enrollment
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.
Time frame: 30 days post-enrollment
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.
Contact information is provided by the study sponsor or research team.
Chang Gung Memorial Hospital
Other
PRIME-Sepsis Trial: Presepsin and Immature Granulocytes for Multicenter Early Sepsis Detection in the Emergency Department: A Prospective Observational Study
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