Correlation of neutrophil CD64 with clinical profile and outcome of sepsis patients during intensive care unit stay

JOURNAL TITLE: Indian Journal of Critical Care Medicine

Author
1. Ratender Kumar Singh
2. Arvind Kumar Baronia
3. Ravi Mishra
4. Prabhaker Mishra
5. Harshit Singh
6. Saurabh Chaturvedi
7. Pralay Shankar Ghosh
ISSN
0972-5229
DOI
10.4103/ijccm.IJCCM_228_18
Volume
22
Issue
8
Publishing Year
2018
Pages
6
Author Affiliations
    1. Department of Prosthodontics, Career Post Graduate Institute of Dental Sciences and Hospital, Lucknow, Uttar Pradesh, India
    1. Department of Biostatistics and Health Informatics, Sanjay Gandhi Post graduate Institute of Medical sciences, Lucknow Uttar Pradesh, India
    1. Department of Pulmonary and Sleep Medicine, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow Uttar Pradesh, India
    1. Department of Critical Care Medicine, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
    1. Department of Clinical Immunology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
    1. Department of Critical Care Medicine, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
    1. Department of Critical Care Medicine, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
  • Article keywords
    Antibiotics, biomarkers, Intensive Care Unit, neutrophil CD64, prognosis, sepsis

    Abstract

    Introduction: Neutrophil CD64 (nCD64) has been found to identify sepsis from nonseptic patients. It is also reported to be a predictor of survival and severity of sepsis. The goal of this study was to correlate serial nCD64 with Intensive Care Unit (ICU) outcome and severity of sepsis. Materials and Methods: A prospective observational study was conducted in 12-bedded critical care unit of a tertiary care center. Adult patients with sepsis were included in this study. Demographics, illness severity scores, clinical parameters, laboratory data, and 28-day outcome were recorded. Serial nCD64 analysis was done (on days 0, 4, and 8) in consecutive patients. Results: Fifty-one consecutive patients were included in the study. Median Acute Physiology and Chronic Health Evaluation II was 16 (12–20) and mean Sequential Organ Failure Assessment was 9 (8–10). Compared to survivors, nonsurvivors had higher nCD64 on day 8 (P = 0.001). nCD64 was higher in the septic shock group compared to sepsis group on days 0 and 8 (P < 0.05). Survivors showed improving trend of nCD64 over time while nonsurvivors did not. This trend was similar in the presence or absence of septic shock. nCD64 count was a good predictor of the septic shock on day 0 (area under the curve [AUC] = 0.747, P = 0.010) and moderate predictor at day 8 (AUC = 0.679, P = 0.028). Conclusion: Monitoring serial nCD64 during ICU stay may be helpful in determining the clinical course of septic patients.

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