The Role of Soluble Triggering Receptor 1 Expressed on Myeloid Cell (STREM-1) as an Early Biomarker in Diagnosis of Sepsis | ||
| The Egyptian Journal of Hospital Medicine | ||
| Article 8, Volume 78, Issue 1, January 2020, Pages 56-61 PDF (340.86 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejhm.2020.67677 | ||
| Authors | ||
| Heba Mahmoud Mohammed Yasin* ; Naema Khodair Aly; Sarah Younes Abdelaziz | ||
| Department of Clinical Pathology, Faculty of Medicine for Girls, Al-Azhar University | ||
| Abstract | ||
| Background: Sepsis remains a leading cause of death worldwide especially in the intensive care unit (ICU) setting. It is currently accepted that improving the outcome of critically ill patients with sepsis relies mainly on the adequacy and the timeliness of key interventions such as administering appropriate antibiotics and sufficient amounts of fluid, especially the sickest ones. Objectives: The aim of the current study is to explore the utility of sTREM-1 in early diagnosis of sepsis and determine its predictive value. Materials and Methods: This is a case control study. It was conducted in Al-Zahraa University Hospital during the period from December 2018 to March 2019. Forty (40) subjects were included in this study; they were classified into two groups as follows: 25 patients with two or more of clinical signs of sepsis according to the four SIRS criteria, and 15 subjects as a control group. Results: The present study revealed that there was a highly statistically significant (p = 0.001) moderate positive correlation (r = 0.707) between the WBC count and sTREM level in the cases group, with no other significant correlations between sTREM level and age, CRP level, hemoglobin level or platelet count. The present study revealed that at a sTREM cut-off point of >97.8 pg/ml, its sensitivity was 100%, its specificity was 100%, its positive predictive value was 100% and its negative predictive value was 100% to differentiate sepsis cases. Conclusion: The sTREM-1 is qunque biomarker having wide range of application in the medical field. It is useful in diagnosis of sepsis and differentiating between microbial and non-microbial infection cases. | ||
| Keywords | ||
| Soluble Triggering Receptor 1; Myeloid Cell; Early Biomarker; Sepsis | ||
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