Literature DB >> 30514685

[Red blood cell distribution width is a independent prognostic indicator for mortality in patients with HBV related acute-on-chronic liver failure].

Jiao Qin1, Li Qiang1, Wen Chen1, Gang Wu1.   

Abstract

OBJECTIVE: To establish a model for predicting the short-term prognosis of patients with HBV-related acute-onchronic liver failure (HBV-ACLF) based on red blood cell distribution width (RDW) and the model for end-stage liver disease (MELD) scores.
METHODS: A total of 245 patients with HBV-ACLF were retrospectively analyzed for their clinical data and results of routine hematological tests, liver function, renal function, coagulation test, HBV-DNA, and other indicators at admission. Univariate analysis and binary logistic regression analysis were used to test the short-term risk factors for death of the patients, and the MELD-RDW model was established. The accuracy of each index and the established model was verified using the ROC curve.
RESULTS: The surviving patients with HBV-ACLF had significantly decreased RDW (14.97 ± 1.38) and MELD score (23.54±4.35) compared with those in the patients dead within 90 days (17.05±2.92 and 28.95±5.99, respectively). Multivariate analysis indicated that RDW was a significant independent prognostic factor for mortality in patients with HBVACLF (OR=1.840, 95%CI: 1.47902.289, P < 0.005). The risk assessment model was [logisticMELD-RDW]=-9.375+0.582×RDW- 0.091×ALB-0.05×PTA+0.186×MELD. The area under the ROC curve of MELD score combined with RDW was 0.878, which was higher than RDW (0.724) and MELD score (0.780) alone.
CONCLUSIONS: RDW is an independent prognostic indicator for mortality in patients with HBV-ACLF. Compared with MELD score, the risk assessment model based on MELD and RDW has a greater value in predicting the short-term prognosis of patients with HBV-ACLF.

Entities:  

Keywords:  hepatitis B virus; liver failure; prediction model; red blood cell distribution width

Mesh:

Year:  2018        PMID: 30514685      PMCID: PMC6744121          DOI: 10.12122/j.issn.1673-4254.2018.11.13

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  23 in total

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