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One serious challenge in the overall management of Fatty Liver disease involves creating cost-effective methods for "early" diagnosis. The term "early" is relative because, as Ian Rowe puts it, a "substantial proportion" of people admitted to hospital with various symptoms of decompensating cirrhosis or hepatic encephalopathy never received a diagnosis of advanced liver disease before they presented. Simply diagnosing these patients during advanced fibrosis (F2 or F3) can save lives, improve longevity and quality of life for these patients and save money for healthcare systems, all at the same time.
Ian spends the first ten minutes of this episode describing a model he and Richard Parker developed to evaluate five diagnostic strategies:
"Fibrosis first" scored best in cost effectiveness (cost per correct diagnosis of treatable liver disease) and "decision curve analysis", which looks at true positive outcomes and false positive outcomes, correctly identifying 85% of treatable liver disease patients (vs. 90% for the comprehensive approach and less than 15% for the current targeted approach.) Fibrosis first has the added benefit of not progressing treatment for people who may have steatosis without fibrosis.
The rest of the conversation entails Ian, Louise Campbell and Roger Green sharing questions and observations. Highlights:
As the conversation winds down, it shifts toward policy issues: should we focus testing on the workforce (Louise) and it the best point of intervention to limit advertising of unhealthy foods (Ian).
By SurfingNASH.com3.9
2424 ratings
Send us a text
One serious challenge in the overall management of Fatty Liver disease involves creating cost-effective methods for "early" diagnosis. The term "early" is relative because, as Ian Rowe puts it, a "substantial proportion" of people admitted to hospital with various symptoms of decompensating cirrhosis or hepatic encephalopathy never received a diagnosis of advanced liver disease before they presented. Simply diagnosing these patients during advanced fibrosis (F2 or F3) can save lives, improve longevity and quality of life for these patients and save money for healthcare systems, all at the same time.
Ian spends the first ten minutes of this episode describing a model he and Richard Parker developed to evaluate five diagnostic strategies:
"Fibrosis first" scored best in cost effectiveness (cost per correct diagnosis of treatable liver disease) and "decision curve analysis", which looks at true positive outcomes and false positive outcomes, correctly identifying 85% of treatable liver disease patients (vs. 90% for the comprehensive approach and less than 15% for the current targeted approach.) Fibrosis first has the added benefit of not progressing treatment for people who may have steatosis without fibrosis.
The rest of the conversation entails Ian, Louise Campbell and Roger Green sharing questions and observations. Highlights:
As the conversation winds down, it shifts toward policy issues: should we focus testing on the workforce (Louise) and it the best point of intervention to limit advertising of unhealthy foods (Ian).

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