Role of leucocytes cell population data in the early detection of sepsis
Autor: | Oihane Bóveda, Eloísa Urrechaga, Urko Aguirre |
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Rok vydání: | 2017 |
Předmět: |
Adult
Male Risk medicine.medical_specialty Multivariate statistics Multivariate analysis Neutrophils 030204 cardiovascular system & hematology Logistic regression Pathology and Forensic Medicine Sepsis 03 medical and health sciences Leukocyte Count 0302 clinical medicine Predictive Value of Tests Internal medicine medicine Leukocytes Humans Cell Population Data Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry Area under the curve Univariate Complete blood count 030208 emergency & critical care medicine General Medicine Middle Aged medicine.disease Blood Cell Count Early Diagnosis Logistic Models Immunology Female business Biomarkers |
Zdroj: | Journal of clinical pathology. 71(3) |
ISSN: | 1472-4146 |
Popis: | 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. |
Databáze: | OpenAIRE |
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