학술논문
Validation of the liver traffic light test as a predictive model for survival and development of liver‐related events
Document Type
Report
Source
JGH Open. May 2021, Vol. 5 Issue 5, p549, 9 p.
Subject
Language
English
Abstract
Introduction Over the last few decades, mortality rates have steadily decreased for most diseases.[sup.1] In striking contrast, mortality rates from liver disease in the United Kingdom have risen fourfold and [...]
: Background and Aim: Liver disease mortality rates continue to rise due to late diagnosis. We need noninvasive tests to be made available in the community that can identify patients at risk from a serious liver‐related event (SLE). We examine the performance of a blood test, the liver traffic light test (LTLT), with regard to its ability to predict survival and SLEs. Methods: Using routinely gathered clinical data, sequential LTLT test results from 4854 individuals with suspected liver disease were prospectively analyzed (median follow‐up 41 months). An SLE was defined as the development of cirrhosis, liver failure, ascites, or varices. Patients were graded as follows: red (high risk), amber (intermediate risk), and green (low risk). Results: Overall, 565 individuals experienced an SLE (11.6%). The area under the curve (AUC) for the continuous LTLT variable was 0.87 (95% confidence interval 0.85–0.89) for prediction of an SLE and 0.81 (0.78–0.84) for mortality. When categorized into red/amber/green grades, a red LTLT result predicted an SLE with negative and positive predictive values of 0.97 and 0.29, respectively. A red LTLT score predicted mortality with negative and positive predictive values of 0.98 and 0.18, respectively. Kaplan–Meier plots demonstrated increased mortality and SLEs in the red group versus the green and amber groups (P < 0.001) and an increase in SLEs in the amber versus green group (P < 0.001). Conclusion: Here, the LTLT is further validated for the prediction of survival and SLE development. The LTLT could aid primary care risk management and referral pathways with the aim of detecting and treating liver disease earlier in the general population.
: Background and Aim: Liver disease mortality rates continue to rise due to late diagnosis. We need noninvasive tests to be made available in the community that can identify patients at risk from a serious liver‐related event (SLE). We examine the performance of a blood test, the liver traffic light test (LTLT), with regard to its ability to predict survival and SLEs. Methods: Using routinely gathered clinical data, sequential LTLT test results from 4854 individuals with suspected liver disease were prospectively analyzed (median follow‐up 41 months). An SLE was defined as the development of cirrhosis, liver failure, ascites, or varices. Patients were graded as follows: red (high risk), amber (intermediate risk), and green (low risk). Results: Overall, 565 individuals experienced an SLE (11.6%). The area under the curve (AUC) for the continuous LTLT variable was 0.87 (95% confidence interval 0.85–0.89) for prediction of an SLE and 0.81 (0.78–0.84) for mortality. When categorized into red/amber/green grades, a red LTLT result predicted an SLE with negative and positive predictive values of 0.97 and 0.29, respectively. A red LTLT score predicted mortality with negative and positive predictive values of 0.98 and 0.18, respectively. Kaplan–Meier plots demonstrated increased mortality and SLEs in the red group versus the green and amber groups (P < 0.001) and an increase in SLEs in the amber versus green group (P < 0.001). Conclusion: Here, the LTLT is further validated for the prediction of survival and SLE development. The LTLT could aid primary care risk management and referral pathways with the aim of detecting and treating liver disease earlier in the general population.