Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent, underdiagnosed, health system burden and impacts on quality of life including comorbidities in the affected population. Cost-effective strategies focusing on clinical pathways to detect and refer patients to care are needed. The aim of this study is to build a stepwise algorithm combining non-invasive freely available methods (FIB-4, NFS, HFS alone or combined) and vibration-controlled transient elastography (VCTE) in diabetic patients from primary care and endocrinology units.
NAFLD is a growing health concern and liver fibrosis severity determines its prognosis. The burden of this disease has been estimated in a quarter of the European population and is even higher in diabetic patients, where it raises significantly and can reach up to 80%. The fact that only 10% of these patients will develop significant fibrosis, the strongest predictor of liver-specific morbidity and overall mortality, leads to an overwhelming situation in primary care and endocrine units, where physicians need to screen large numbers of patients to identify individuals with a high risk for developing fibrosis that should be derived to a specialized hepatology unit. New free and accurate non- invasive tests need to be available to be used in primary care and non-hepatologists units to fight against this disappointing situation. Several non-invasive methods, based on serum and imaging biomarkers, have aimed to identify at-risk patients for NAFLD-related fibrosis, but inconclusive results and many phenotypes that are present or not in patients (diabetes mellitus, obesity and age) reduce their diagnostic accuracy. Current strategies to monitor fibrosis are, therefore, inefficient and often fail to easily distinguish patients with mild disease that can be monitored at primary care from those at risk of advanced fibrosis or cirrhosis that need to receive specialised care and that could benefit from therapeutic interventions, such as participation in clinical trials and liver cancer surveillance programs. The majority of patients with NAFLD are followed up in the community by general practitioners without definite diagnosis, representing a challenge to identify patients at risk of significant fibrosis who might benefit from an early specific intervention. Accurate fibrosis assessment by primary care or non-hepatologists physicians is limited by a reliance on liver function tests, which correlate poorly with fibrosis, and limited access to discriminatory fibrosis tests. Thus, current management strategies are inefficient in identifying subjects for specialist referral. Patients with mild disease are often referred for NAFLD specialist review when instead the appropriate preventative interventions of lifestyle changes can be delivered effectively in primary care. Conversely, patients with advanced fibrosis or cirrhosis who will benefit from NAFLD specific interventions, including clinical trials and cirrhosis surveillance, often remain undetected until they present with complications of cirrhosis, including hepatocellular carcinoma. This ineffective management contributes to the poor outcomes associated with liver disease and the increasing trends in NAFLD- related morbidity and mortality. NASH-PI aims to improve the management of NAFLD patients by non-hepatologist physicians through the development of a new specific stepwise NAFLD algorithm following an ETC (Education, tools and communication) process that will be based on: 1. The development of new care pathways based on different combinations of non-invasive tests that facilitate the derivation of diabetic patients from endocrine and primary care units to specialised liver disease units. 2. Peer-to-peer sessions with primary care physicians and diabetologists to discuss the techniques and methods available to screen and detect diabetic patients at risk of developing NAFLD-related significant fibrosis. 3. The implementation of easy and ready to use tools, like an automatic calculation of fNITs in central labs, to allow non-hepatologist physicians detect more efficiently diabetic patients at risk of significant fibrosis. This proposal will focus on diabetic patients to test the feasibility and accuracy of these diagnostic strategies in a close circuit from primary care and diabetic clinics to NAFLD specialized Units (NSU). Our main goal is to create a NAFLD continuum of care that improves the selection of patients with fibrosis and cirrhosis for referral to secondary care, reducing unnecessary referrals, enhancing the use of healthcare resources with immediate cost-savings, and improving patient experiences by avoiding unnecessary clinic appointments and tests. NASH-PI will improve the identification of NAFLD in diabetic patients to allow for management according to current standard of care and impact on the disease course, helping to reduce NAFLD-related morbidity and mortality and delivering more efficient patient-centered care.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Enrollment
536
Derivation algorithm based on non-invasive methods, to standardise the continuum of care for diabetic patients with NAFLD from primary care and endocrinology settings to NAFLD specialised units (NSU)
University Hospital Düsseldorf
Düsseldorf, Germany
University Medical Center Mainz
Mainz, Germany
Harokopio University of Athens
Athens, Greece
Hospital Universitario Virgen del Rocío de Sevilla
Seville, Spain
Accuracy on referral rate
To determine the accuracy on referral rate for diabetic patients at risk of advanced fibrosis using each of the strategies under study, and determine the sensitivity, specificity, PPV, NPV, likelihood ratios and overall accuracy of each of them.
Time frame: Up to 6 months
Cut-off scores for fibrosis non-invasive tests (fNITs)
To define the best cut-off scores for fibrosis non-invasive tests (fNITs) when all these non-invasive tests are combined between them. Combined fibrosis score is a composite score including the results from FIF4, HFS and NFS, and ranges from 0 (no risk of fibrosis) and 3 (all 3 tests are altered and therefore patients have from more than 90% of risk of fibrosis).
Time frame: 3 months
Cut-off score for Hepamet Fibrosis Score (HFS) + Transient Elastography (TE)
To define the best cut-off score for the Hepamet Fibrosis Score (HFS) when combined with Transient Elastography (TE). HFS higher that 0.12 indicates high risk of liver fibrosis, and TE higher that 8 KPa indicates risk of significant liver fibrosis.
Time frame: 3 months
Evaluation of quality-adjusted life years (QALYs)
QALY scores will compare the benefits of the 3 different strategies/arms. QALY = Life Years Gained × Quality of Life Score. Quality of Life Score will be calculated by the Short-Form Six-Dimension (SF-6D) questionnaire, and ranges from 1 (perfect health) to 0 (death).
Time frame: 9 months
Evaluation of Incremental Cost-Effectiveness Ratios (ICERs)
ICER will assess the cost per additional unit of health benefit achieved with each of the 3 strategies under study, calculated as euros per QALYs gained.
Time frame: 9 months
Patient reported diet habits
To assess patient reported diet habits by the PREDIMED questionnaire, a validated 14-item questionnaire of Mediterranean diet adherence. Score lower than 9 means low adherence to Mediterranean diet, and score equal or higher than 9 means good adherence to Mediterranean diet
Time frame: 6 months
Patient reported physical activity
To assess patient reported physical activity using the International Physical Activity Questionnaire (IPAQ) questionnaire. IPAQ classifies individuals into three categories based on their total Metabolic Equivalent of Task (MET) minutes per week. Low physical activity: Less than 600 MET-minutes/week; moderate physical activity: Between 600 and 3,000 MET-minutes/week; or high physical activity: More than 3,000 MET-minutes/week.
Time frame: 6 months
Patient reported individual functioning
To assess patient reported individual functioning by the Short-Form Six-Dimension (SF-6D) questionnaire. Scores Closer to 1 indicate better health-related quality of life. Scores Closer to 0 reflect more severe health problems and limitations.
Time frame: 6 months
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.