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Published on: May 7, 2015
D-dimer-to-platelet count ratio as a novel indicator for predicting prognosis in HBV-related decompensated cirrhosis
1Department of Clinical Laboratory, Shengzhou People's Hospital, Shengzhou Branch of the First Affiliated Hospital of Zhejiang University, Shengzhou, 312400, China.
Background:
Hepatitis B virus-related decompensated cirrhosis (HBV-DC) is a critical illness with a low survival rate. Timely identification of prognostic indicators is crucial for risk stratification and personalized management of patients. The present study aimed to investigate the potential of the D-dimer-to-platelet count ratio (DPR) as a prognostic indicator for HBV-DC.
Methods:
A retrospective review of medical records was conducted for 164 patients diagnosed with HBV-DC. Baseline clinical and laboratory characteristics were extracted for analysis. The endpoint was 30-day mortality. Disease severity was assessed by the Model for End-stage Liver Disease (MELD) score. A multivariate logistic regression model and receiver operating characteristic curve analysis (ROC) were used to evaluate the predictive value of DPR for mortality.
Results:
During the 30-day follow-up period, 30 (18.3%) patients died. Non-survivors exhibited significantly higher DPR values than survivors, and a high DPR had a strong association with increased mortality. Importantly, DPR was identified as an independent risk factor for mortality in HBV-DC patients after adjustments for confounding factors (Odds ratio = 1.017; 95% Confidence interval, 1.006-1.029; p = 0.003). The cut-off value of DPR as a predictor of mortality was>57.6 (sensitivity = 57%, specificity = 86%, p < 0.001). The area under ROC curve for DPR for 30-day mortality was 0.762, comparable to the MELD score (p = 0.100). Furthermore, the combined use of DPR and MELD score further increased the area under the ROC curve to 0.897.
Conclusion:
Elevated DPR was demonstrated to have a correlation with unfavorable outcomes in HBV-DC patients, suggesting its potential utility as an effective biomarker for assessment of prognosis in these patients.
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