Predictive Score for Dengue Infection with Complete Blood Count Parameters, Including the Monocyte Distribution Width: A Retrospective Single-Center Derivation and Validation Study

The Role of Monocyte Distribution Width (MDW) in the Prediction of Death in Adult Patients with Sepsis

Sepsis is a life-threatening condition; it is a major cause of hospital mortality worldwide and it constitutes a global health problem. This research investigates the use of MDW as a predictor for septic patients. This was a double-center prospective cohort study of adult septic patients. Septic patients were identified and were categorized into two categories: those who improved and those who died. Blood was drawn from the patients three times, on the first, third, and fifth day of their admission to the hospital. MDW was evaluated as a biomarker to predict patient outcome. In addition, existing inflammatory markers were recorded in all patients. The MDW was able to predict patient's outcome. The average MDW was found to be significantly higher in patients who died in all records. For example, an MDW value of 28.4 on the first day of admission to the hospital was shown to be the best cut-off value in determining fatal outcomes; receiver operating characteristic (ROC) analysis revealed an area under the curve value of 0.71 (95% Confidence Interval-CI: 0.57-0.84) with a sensitivity of 64.7% and a specificity of 88.2%. In conclusion, MDW, in addition to being a marker that can quickly detect sepsis more effectively than other biomarkers, which is proven by numerous studies, could also be used as an indicator to predict patient outcome. This work is an attempt in that direction.

Assessing the Diagnostic Value of Mean Monocyte Volume and Hematological Parameters in Predicting Dengue Fever: A Cross-Sectional Analysis

BACKGROUND AND AIM

Distinguishing dengue fever (DF) from other viral infections solely based on common presentations poses a challenge. Therefore, there is a pressing need for additional diagnostic parameters that are reliable, swift, and cost-effective. This study aims to provide novel insights into the diagnostic value of hematological parameters, particularly mean monocyte volume (MMV), in predicting DF in Kelantan, Malaysia.

METHODOLOGY

This cross-sectional study enrolled 162 patients with suspected DF symptoms. The diagnosis was confirmed through dengue immunoglobulin M (IgM) capture enzyme-linked immunosorbent assay (ELISA) or Dengue Early ELISA for nonstructural protein 1 (NS1) antigen detection. Hematological parameters were measured using the Coulter DxH 800 hematology analyzer (Beckman Coulter, Brea, CA), and the statistical analysis was performed using SPSS version 22 (IBM Corp., Armonk, NY).

RESULTS

A total of 108 patients tested positive for DF, while 54 tested negative. We observed significant differences in WBC count, platelet count, and monocyte percentage between patients with DF and non-DF, while no significant correlation was noted for MMV. Subsequent statistical analysis, including receiver operating characteristic (ROC) curve analysis, revealed that monocyte percentage exhibited the largest area under the curve (0.715), indicating its potential as moderate discriminative power in diagnosing DF.

CONCLUSIONS

Our study findings indicate that monocyte percentage and MMV outcomes are insufficient for predicting DF, suggesting potential areas for further research.