The Role of Monocyte Distribution Width in the Early Prediction of Sepsis in Patients Undergoing Cardiovascular Surgery: A Cross-Sectional Study
<i>Background and Objectives:</i> This is the first study to examine the role of monocyte distribution width (MDW) in predicting sepsis after cardiovascular surgery. <i>Methods:</i> This study included 43 consecutive patients who had undergone cardiovascular surgery between July 2021 and July 2022. All patients were examined at the following three time points (TPs): preoperative period (TP1), postoperative at 24 h (TP2), and discharge (TP3). SOFA score, leukocyte count, neutrophil-to-lymphocyte ratio (NLR), MDW, C-reactive protein (CRP), and procalcitonin (PCT) levels were tested at each TPs. The Sepsis-3 criteria were used to diagnose patients with sepsis. <i>Results:</i> The mean values of all variables (leukocyte count, NLR, MDW, CRP, and PCT levels) were significantly higher at TP2 and TP3 than at TP1 (<i>p</i> < 0.05). All these values were significantly higher at TP2 than at TP3 (<i>p</i> < 0.05). Patients with sepsis had significantly higher mean values for leukocyte count, NLR, MDW, CRP, and PCT levels than those without sepsis (<i>p</i> < 0.05). There was a significant correlation between MDW and inflammatory markers (CRP, PCT, and NLR) during the three time periods (<i>p</i> < 0.05). According to the ROC analysis, the optimal MDW cutoff value with the highest sensitivity and specificity for predicting sepsis in the postoperative period was 20.5. <i>Conclusions:</i> Our findings indicate that elevated MDW levels may be a valuable predictor of sepsis in patients following cardiovascular surgery.
Authors
- Abdullah Özer (ORCID: https://orcid.org/0000-0003-0925-7323)
- Alperen Kutay Yıldırım
- Elif Şi̇mşek (ORCID: https://orcid.org/0000-0002-5488-7458)
- Zühre Kaya (ORCID: https://orcid.org/0000-0002-3798-7246)
- Hüseyin Demirtaş
- Sercan Tak
- Gürsel Levent Oktar
Institutions
- Gazi University (TR)
Publication Details
- Journal
- Medicina
- Published
- 2024-09-23
- DOI
- https://doi.org/10.3390/medicina60091558
- Citations
- 6
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.32
Funders
- Gazi Üniversitesi