Development and Validation of a Novel Model for Outcomes in Patients with Cirrhosis and Acute Variceal Bleeding.

Abstract:

BACKGROUND:Acute variceal bleeding (AVB) in patients with cirrhosis is associated with high mortality, ranging from 12 to 20% at 6 weeks. The existing prognostic models for AVB lack precision and require further validation. AIM:In this prospective study, we aimed to develop and validate a new prognostic model for AVB, and compared it with the existing models. METHODS:We included 285 patients from March 2017 to November 2017 in the derivation cohort and 238 patients from December 2017 to June 2018 in the validation cohort. Two prognostic models were developed from derivation cohort by logistic regression analysis. Discrimination was assessed using area under the receiver operator characteristic curve (AUROC). RESULTS:The 6-week mortality was 22.1% in derivation cohort and 22.3% in validation cohort, P = 0.866. Model for end-stage liver disease (MELD) [odds ratio (OR) 1.106] and encephalopathy (E) (OR 4.658) in one analysis and Child-Pugh score (OR 1.379) and serum creatinine (OR 1.474) in another analysis were significantly associated with 6-week mortality. MELD-E model (AUROC 0.792) was superior to Child-creatinine model (AUROC) in terms of discrimination. The MELD-E model had highest AUROC; as compared to other models-MELD score (AUROC 0.751, P = 0.036), Child-Pugh score (AUROC 0.737, P = 0.037), D'Amico model (AUROC 0.716, P = 0.014) and Augustin model (AUROC 0.739, P = 0.018) in derivation cohort. In validation cohort, the discriminatory performance of MELD-E model (AUROC 0.805) was higher as compared to other models including MELD score (AUROC 0.771, P = 0.048), Child-Pugh score (AUROC 0.746, P = 0.011), Augustin model (AUROC 0.753, P = 0.039) and D'Amico model (AUROC 0.736, P = 0.021). CONCLUSION:In cirrhotic patients with AVB, the novel MELD-Encephalopathy model predicts 6 weeks mortality with higher accuracy than the existing prognostic models.

journal_name

Dig Dis Sci

authors

Rout G,Sharma S,Gunjan D,Kedia S,Saraya A,Nayak B,Singh V,Kumar R,Shalimar

doi

10.1007/s10620-019-05557-y

subject

Has Abstract

pub_date

2019-08-01 00:00:00

pages

2327-2337

issue

8

eissn

0163-2116

issn

1573-2568

pii

10.1007/s10620-019-05557-y

journal_volume

64

pub_type

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