Original Article
Pancreas, Biliary Tract, and Liver
Cost Effectiveness of Different Strategies for Detecting Cirrhosis in Patients With Nonalcoholic Fatty Liver Disease Based on United States Health Care System

https://doi.org/10.1016/j.cgh.2020.04.017Get rights and content

Background & Aims

Several strategies are available for detecting cirrhosis in patients with nonalcoholic fatty liver disease (NAFLD), but their cost effectiveness is not clear. We developed a decision model to quantify the accuracy and costs of 9 single or combination strategies, including 3 noninvasive tests (fibrosis-4 [FIB-4], vibration-controlled transient elastography [VCTE], and magnetic resonance elastography [MRE]) and liver biopsy, for the detection of cirrhosis in patients with NAFLD.

Methods

Data on the diagnostic accuracy, costs, adverse events, and cirrhosis outcomes over a 5-year period were obtained from publications. The diagnostic accuracy, per-patient cost per correct diagnosis of cirrhosis, and incremental cost-effectiveness ratios (ICERs) were calculated for each strategy for base cirrhosis prevalence values of 0.27%, 2%, and 4%.

Results

The combination of the FIB-4 and VCTE identified patients with cirrhosis in NAFLD populations with a 0.27%, 2%, and 4% prevalence of cirrhosis with the lowest cost per person ($401, $690, and $1024, respectively) and highest diagnostic accuracy (89.3%, 88.5%, and 87.5% respectively). The combination of FIB-4 and MRE ranked second in cost per person ($491, $781, and $1114, respectively) and diagnostic accuracy (92.4%, 91.6%, 90.6%, respectively). Compared with the combination of FIB-4 and VCTE (least costly), the ICERs were lower for the combination of FIB-4 and MRE ($2864, $2918, and $2921) than the combination of FIB-4 and liver biopsy ($4454, $5156, and $5956) at the cirrhosis prevalence values tested. When the goal was to avoid liver biopsy, FIB-4 + VCTE and FIB-4 + MRE had similar diagnostic accuracies, ranging from 87.5% to 89.3% and 90.6% to 92.4% for a cirrhosis diagnosis, respectively, although FIB-4 + MRE had a slightly higher cost.

Conclusions

In our cost-effectiveness analysis based on the US health care system, we found that results from FIB-4, followed by either VCTE, MRE, or liver biopsy, detect cirrhosis in patients with NAFLD with a high level of accuracy and low cost. Compared with FIB-4 + VCTE, which was the least costly strategy, FIB-4 + MRE had a lower ICER than FIB-4 + LB.

Section snippets

Study Population

Our study population consisted of a hypothetical cohort of middle-aged patients with NAFLD seen in 3 different settings: (1) in a specialty clinic setting in which the prevalence of cirrhosis in NAFLD is estimated to be 2%,11 (2) in a general population-based setting in which the prevalence of cirrhosis is estimated to be 0.27%,12 and (3) a tertiary referral center setting in which cirrhosis prevalence is reported to be approximately 4%.5,7,8

Model Structures

We constructed a decision model to compare the

Low prevalence of cirrhosis (0.27%)

Fib-4 alone correctly classified the lowest percentage of persons (57%), whereas Fib-4 + LB correctly classified 97.7%, the highest percentage (Table 2). Figure 2A shows diagnostic accuracy by cost per person for each strategy. The solid line connecting the blue dots represents the efficiency frontier, which identifies strategies with the lowest cost and highest accuracy, and includes the following: Fib-4 + VCTE (89.3%; $401), Fib-4 + MRE (92.4%; $491), and Fib-4 + LB (97.7%; $729). Relative to

Discussion

Because cirrhosis is the major determinant of long-term morbidity and mortality in patients with NAFLD, there is a critical need to detect cirrhosis before complications occur, which are associated with high mortality and increased health care utilization. The sequential combination of 2 NITs or a NIT test plus LB may detect cirrhosis more accurately,9,10 however, whether these approaches are cost effective is unknown. This study suggests that the use of Fib-4 followed by VCTE is likely the

Acknowledgments

The authors thank Ms Carolina Vivas-Valencia from the Purdue Weldon School of Biomedical Engineering for her participation in initial meetings on decision tree construction and conceptualization of the microsimulation; Mr Robert W. Klein from Medical Decision Modeling, Inc, for his thoughtful review and suggestions; Drs Samer Gawrieh and Niharika Samala for their comments regarding study design and results; and Julianne Nanzer for her editorial assistance.

CRediT Authorship Contributions

Eduardo Vilar-Gomez, M.D., Ph.D.

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    Conflicts of interest This author discloses the following: Naga Chalasani has consulted for NuSirt, AbbVie, Afimmune (DS Biopharma), Allergan (Tobira), Madrigal, Coherus, Siemens, La Jolla, Foresite Labs, and Genentech; has received research grant support from Exact Sciences, Intercept, and Galectin Therapeutics; and has served as a paid consultant to more than 35 pharmaceutical companies. The remaining authors disclose no conflicts.

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