The Cook Score: A Novel Assessment for the Prediction of Liver-Associated Clinical Events in a Diverse Population

Autor: Yuchen Wang, Zohaib Haque, Muhammad A. Baig, Harishankar Gopakumar, Krishna Rekha Moturi, Sachit Sharma, Prashant Lingamaneni, Bashar M. Attar, Ishaan Vohra, Rohit Agrawal, Seema R. Gandhi, Hemant Mutneja, Vatsala Katiyar
Rok vydání: 2021
Předmět:
Zdroj: Journal of Gastrointestinal Cancer. 53:387-393
ISSN: 1941-6636
1941-6628
Popis: Transient elastography (TE) provides accurate quantification of liver fibrosis. Its usefulness could be significantly amplified in terms of predicting liver-associated clinical events (LACE). Our aim was to create a model that accurately predicts LACE by combining the information provided by TE with other variables in patients with chronic liver disease (CLD). We retrospectively reviewed the electronic medical records of patients who underwent liver elastography, at John H. Stroger Hospital in Cook County, Chicago, IL. The incidences of LACE were documented including decompensation of CLD, new hepatocellular carcinoma, and liver-associated mortality. Significant predicting factors were identified through a forward stepwise Cox regression model. We used the beta-coefficients of these risk factors to construct the Cook Score for prediction of LACE. Receiver-operating characteristic (ROC) curves were plotted for Cook Score to evaluate its efficiency in prediction, in comparison with MELD-Na Score and FIB-4 Score. A total of 3097 patients underwent liver elastography at our institution. Eighty-eight LACE were identified. Age (hazard ratio (HR) 1.04, p = 0.002), aspartate aminotransferase to alanine aminotransferase ratio (HR 2.61, p
Databáze: OpenAIRE