Comparison of predictive powers of S100B and cell-free plasma DNA values in intensive care unit patients with intracranial hemorrhage
| Autor: | Aykan Ulus, Ahmet Dilek, Ali Okuyucu, Naci Murat, Ferdi Polat, Hasan Alacam, Fatma Ülger, Abdulkerim Bedir |
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| Přispěvatelé: | Ondokuz Mayıs Üniversitesi |
| Rok vydání: | 2013 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Intracranial hemorrhage Cell free Critical Care and Intensive Care Medicine Severity of Illness Index law.invention law Predictive Value of Tests Internal medicine Severity of illness medicine Humans In patient Intensive care unit Hospital Mortality Aged Aged 80 and over business.industry Plasma dna S100 Proteins Biomarker DNA Length of Stay Middle Aged Cell free plasma DNA Prognosis Surgery Intensive Care Units Health evaluation Predictive value of tests Biomarker (medicine) Female business Intracranial Hemorrhages S100B protein |
| Zdroj: | Journal of critical care. 28(5) |
| ISSN: | 1557-8615 |
| Popis: | WOS: 000324374700060 PubMed: 23683570 Purpose: To investigate predictive powers of S100B and cell-free DNA (cfDNA) levels in patients in the intensive care unit (ICU) who have with intracranial hemorrhage (ICH) for prognosis. Methods: Ninety-nine patients diagnosed with ICH were included in the study. The blood samples were drawn on the day of admittance to ICU and again on the third day. Duration of stay in the ICU and mortality were recorded. Results: A positive correlation was determined between the values of S100B and cfDNA from both the analysis and the Acute Physiology and Chronic Health Evaluation II scores. For all patients, there was a positive correlation between the duration of stay in the ICU and the values of S100B and cfDNA on the third day. The levels of both S100B and cfDNA in patients who died in the ICU were significantly higher than of those who survived on the day of admittance. Conclusions: Both S100B and cfDNA values can be used as markers to predict the prognosis of ICU patients with ICH. However, S100B is more powerful for predicting the prognosis. (C) 2013 Elsevier Inc. All rights reserved. Ondokuz Mayis University Scientific Research FoundationOndokuz Mayis University This study was supported by the Ondokuz Mayis University Scientific Research Foundation. |
| Databáze: | OpenAIRE |
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