Intensive Care Infection Score – A new approach to distinguish between infectious and noninfectious processes in intensive care and medicosurgical patients

Weimann, Karin; Zimmermann, Mathias; Spies, Claudia; Wernecke, Klaus‐Dieter; Vicherek, Oldrich; Nachtigall, Irit; Tafelski, Sascha; Weimann, Andreas

doi:10.1177/0300060514557711

Cited by 13 publications

(19 citation statements)

References 40 publications

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“…The bone marrow also responds to systemic infection by releasing IG into peripheral blood, as confirmed here. Similar observations have been reported for Neut‐RI and Neut‐GI in infected adults , while Act‐Mono% has not been reported.…”

Section: Discussionsupporting

confidence: 88%

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New parameters on the hematology analyzer XN‐10 (SysmexTM) allow to distinguish childhood bacterial and viral infections

Henriot

Launay

Boubaya

et al. 2016

Int J Lab Hematology

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Section: Discussionsupporting

confidence: 88%

“…Here, we explored whether CBC‐DIFF assessed on the hematology analyzer XN‐10 ® (Sysmex, Kobe, Japan) can deliver complementary information by the use of classical or newly defined white blood cell (WBC) parameters involving all subcategories.…”

Section: Introductionmentioning

confidence: 99%

New parameters on the hematology analyzer XN‐10 (SysmexTM) allow to distinguish childhood bacterial and viral infections

Henriot

Launay

Boubaya

et al. 2016

Int J Lab Hematology

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“…Scores for predicting infection and its severity26 and for the differential diagnosis of infectious and non-infectious process in the ICU27 have been recently published.…”

Section: Discussionmentioning

confidence: 99%

Role of leucocytes cell population data in the early detection of sepsis

2017

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AimsThe cell population data (CPD) parameters reported by XN analyser (Sysmex, Kobe, Japan) reflect the size and internal structure of leucocytes. We aimed to assess the clinical utility of these parameters as biomarkers for the early diagnosis of sepsis.MethodsThe study group (G1) included 586 controls (no quantitative or morphological alterations in the complete blood count) and 137 patients diagnosed with sepsis. The reliability of the model was evaluated using a validation group (G2) of 212 controls and 60 patients with sepsis. The optimal cut-off for the diagnosis of sepsis and the OR for CPD were established using a univariate logistic regression. A multivariate logistic regression model was then created. The OR and area under the curve were recorded. A risk stratification scale (neutrophils and monocytes (NEMO)) for diagnosing sepsis was established on the basis of the coefficients of the multivariate model.ResultsMO-X and neutrophils fluorescence intensity (NE-SFL) were found to be the most relevant of the CPD in predicting sepsis applying multivariate analysis to G1.NEMO score was composed using the above-mentioned CPD and subsequently stratified into three risk groups: mild (≤3), moderate (4≤NEMO≤5) and high (≥6). The OR for patients with a score of 4–5 was 10 and 249 for a score of ≥6. When applied to G2, the positive predictive value was 84.8 % and the negative predictive value was 96.0%.ConclusionsCPD are potentially useful for the early diagnosis of sepsis. Their values were used to compose in NEMO score can help in rapid and reliable decision making.

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“…A new biomarker is the intensive care infection score (ICIS), which is composed of five blood-cell-derived parameters characterizing the early innate immune response and is routinely obtainable in blood samples sent to the laboratory for cell counts. The ICIS has been retrospectively evaluated in two pilot studies of 70 and 172 patients, respectively, suggesting it has potential predictive value for infection [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

The intensive care infection score – a novel marker for the prediction of infection and its severity

et al. 2016

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BackgroundThe prediction of infection and its severity remains difficult in the critically ill. A novel, simple biomarker derived from five blood-cell derived parameters that characterize the innate immune response in routine blood samples, the intensive care infection score (ICIS), could be helpful in this respect. We therefore compared the predictive value of the ICIS with that of the white blood cell count (WBC), C-reactive protein (CRP) and procalcitonin (PCT) for infection and its severity in critically ill patients.MethodsWe performed a multicenter, cluster-randomized, crossover study in critically ill patients between January 2013 and September 2014. Patients with a suspected infection for which blood cultures were taken by the attending intensivist were included. Blood was taken at the same time for WBC, ICIS, CRP and PCT measurements in the control study periods. Results of imaging and cultures were collected. Patients were divided into groups of increasing likelihood of infection and invasiveness: group 1 without infection or with possible infection irrespective of cultures, group 2 with probable or microbiologically proven local infection without blood stream infection (BSI) and group 3 with BSI irrespective of local infection. Septic shock was assessed.ResultsIn total, 301 patients were enrolled. CRP, PCT and ICIS were higher in groups 2 and 3 than group 1. The area under the receiver operating characteristic curve (AUROC) for the prediction of infection was 0.70 for CRP, 0.71 for PCT and 0.73 for ICIS (P < 0.001). For the prediction of septic shock the AUROC was 0.73 for CRP, 0.85 for PCT and 0.76 for ICIS. These AUROC did not differ from each other.ConclusionThe data suggest that the ICIS is potentially useful for the prediction of infection and its severity in critically ill patients, non-inferiorly to CRP and PCT. In contrast to CRP and PCT, the ICIS can be determined routinely without extra blood sampling and lower costs, yielding results within 15 minutes.Trial registrationClinicalTrials.gov identifier: ID NCT01847079. Registered on 24 April 2013.

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Intensive Care Infection Score – A new approach to distinguish between infectious and noninfectious processes in intensive care and medicosurgical patients

Cited by 13 publications

References 40 publications

New parameters on the hematology analyzer XN‐10 (SysmexTM) allow to distinguish childhood bacterial and viral infections

New parameters on the hematology analyzer XN‐10 (SysmexTM) allow to distinguish childhood bacterial and viral infections

Role of leucocytes cell population data in the early detection of sepsis

The intensive care infection score – a novel marker for the prediction of infection and its severity

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