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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Monocyte Distribution Width in the Early Prediction of Sepsis in Patients Undergoing Cardiovascular Surgery: A Cross-Sectional Study

Abdullah Özer, Alperen Kutay Yıldırım, Elif Şi̇mşek, Zühre Kaya et al.
6 citations
Medicina
Sepsis Diagnosis and Treatment
2.32
article

The Role of Monocyte Distribution Width in the Early Prediction of Sepsis in Patients Undergoing Cardiovascular Surgery: A Cross-Sectional Study

Abdullah Özer, Alperen Kutay Yıldırım, Elif Şi̇mşek, Zühre Kaya, Hüseyin Demirtaş, Sercan Tak, Gürsel Levent Oktar
article en
6 citations

Abstract

<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.

MedicinaVol. 60(9)
Gazi University (TR)
Gazi Üniversitesi
Good health and well-being
Openalex Percentile: Top 11%
Sepsis Diagnosis and Treatment
2.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.