Mayo Clinic Minnesota
Rochester, Minnesota, 55905, United States
NCT Number: NCT05782283
The overall objectives of this study are to determine the effectiveness of ACE 2.0 model in early detection of advanced liver fibrosis, and to determine the acceptance and barriers for use of an AI-enabled algorithm for prediction of liver disease in primary care.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Rochester, Minnesota, 55905, United States
A pragmatic, cluster randomized trial in 45 Mayo Clinic primary care practices will be conducted over a period of 6 months with 6 months of follow up. Care teams will be randomized 1:1 to intervention or usual care, stratified by region and patient volume. In the intervention arm, the DULCE score will be used to alert consenting providers to the likelihood of advanced liver disease with a recommendation for a FibroTest-ActiTest. The primary endpoint will be detection of advanced liver disease. Secondary outcomes will include completion of noninvasive fibrosis assessment tests and hepatology referral within 180 days of ECG, new diagnosis of liver disease stratified by etiology (nonalcoholic fatty liver disease, alcohol-associated liver disease, hepatitis C, and others) and severity (compensated with and without clinically-significant portal hypertension, and decompensated disease), initiation of prophylactic nonselective beta-blockers and imaging for hepatocellular carcinoma surveillance, according to published society guidelines. Post-study surveys to participating clinicians will be applied.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Criteria:
Inclusion criteria
Exclusion criteria
An electrocardiogram (ECG) based artificial intelligence (AI) powered tool for detection of undiagnosed cirrhosis in primary care practices. And email alert is sent to providers which will display whether the ACE 2.0 result is positive or negative for the likelihood of advanced liver disease.
Time frame: 6 months
Number of participants with new diagnosis of advanced liver disease as assessed by a novel electrocardiogram-enabled convoluted neural network (CNN) compared to standard of care at 6 months.
Time frame: 6 months
Number of participants to not complete the recommended testing according to the electrocardiogram-enabled CNN.
Mayo Clinic
Other
Early Detection of Advanced Liver Disease Via Artificial Intelligence-Enabled Electrocardiogram (Advance): A Pragmatic, Cluster-Randomized Clinical Trial
Acronym: ADVANCE
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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