The burden of nonalcoholic steatohepatitis (NASH) in the United States.

BACKGROUND: There is limited data on the comparative economic and humanistic burden of non-alcoholic steatohepatitis (NASH) in the United States. The objective was to examine the burden of disease comparing NASH to a representative sample of the general population and separately to a type 2 diabetes mellitus (T2DM) cohort by assessing health-related quality of life (HRQoL) measures, healthcare resource use (HRU) and work productivity and activity impairment (WPAI). METHODS: Data came from the 2016 National Health and Wellness Survey, a nationally representative patient-reported outcomes survey conducted in the United States. Respondents with physician-diagnosed NASH, physician-diagnosed T2DM, and respondents from the general population were compared. Humanistic burden was examined with mental (MCS) and physical (PCS) component summary scores from the Short-Form (SF)-36v2, concomitant diagnosis of anxiety, depression, and sleep difficulties. Economic burden was analysed based on healthcare professional (HCP) and emergency room (ER) visits, hospitalizations in the past six months; absenteeism, presenteeism, overall work impairment, and activity impairment scores on WPAI questionnaire. Bivariate and multivariable analysis were conducted for each outcome and matched comparative group. RESULTS: After adjusting for baseline demographics and characteristics, NASH (N = 136) compared to the matched general population cohort (N = 544), reported significantly lower (worse) mental (MCS 43.19 vs. 46.22, p = 0.010) and physical (PCS 42.04 vs. 47.10, p < 0.001) status, higher % with anxiety (37.5% vs 25.5%, p = 0.006) and depression (43.4% vs 30.1%, p = 0.004), more HCP visits (8.43 vs. 5.17), ER visits (0.73 vs. 0.38), and hospitalizations (0.43 vs. 0.2) all p's < 0.05, and higher WPAI scores (e.g. overall work impairment 39.64% vs. 26.19%, p = 0.011). NASH cohort did not differ from matched T2DM cohort (N = 272) on mental or work-related WPAI scores, but had significantly worse physical status (PCS 40.52 vs. 44.58, p = 0.001), higher % with anxiety (39.9% vs 27.8%, p = 0.043), more HCP visits (8.63 vs. 5.68, p = 0.003) and greater activity impairment (47.14% vs. 36.07%, p = 0.010). CONCLUSION: This real-world study suggests that burden of disease is higher for all outcomes assessed among NASH compared to matched general controls. When comparing to T2DM, NASH cohort has comparable mental and work-related impairment but worse physical status, daily activities impairment and more HRU.

Predicting Clinical Remission of Chronic Urticaria Using Random Survival Forests: Machine Learning Applied to Real-World Data.

INTRODUCTION: The time required to reach clinical remission varies in patients with chronic urticaria (CU). The objective of this study is to develop a predictive model using a machine learning methodology to predict time to clinical remission for patients with CU. METHODS: Adults with ≥ 2 ICD-9/10 relevant CU diagnosis codes/CU-related treatment > 6 weeks apart were identified in the Optum deidentified electronic health record dataset (January 2007 to June 2019). Clinical remission was defined as ≥ 12 months without CU diagnosis/CU-related treatment. A random survival forest was used to predict time from diagnosis to clinical remission for each patient based on clinical and demographic features available at diagnosis. Model performance was assessed using concordance, which indicates the degree of agreement between observed and predicted time to remission. To characterize clinically relevant groups, features were summarized among cohorts that were defined based on quartiles of predicted time to remission. RESULTS: Among 112,443 patients, 73.5% reached clinical remission, with a median of 336 days from diagnosis. From 1876 initial features, 176 were retained in the final model, which predicted a median of 318 days to remission. The model showed good performance with a concordance of 0.62. Patients with predicted longer time to remission tended to be older with delayed CU diagnosis, and have more comorbidities, more laboratory tests, higher body mass index, and polypharmacy during the 12-month period before the first CU diagnosis. CONCLUSIONS: Applying machine learning to real-world data enabled accurate prediction of time to clinical remission and identified multiple relevant demographic and clinical variables with predictive value. Ongoing work aims to further validate and integrate these findings into clinical applications for CU management.

Real-World Burden of Nonalcoholic Steatohepatitis.

BACKGROUND & AIMS: Nonalcoholic steatohepatitis (NASH) is associated with an increase in healthcare resource use and poor health-related quality of life (HRQoL). We assessed the humanistic and economic burden of NASH, disease management, and patient journey. METHODS: We performed a cross-sectional analysis of data, collected from July through November 2017, from the Growth from Knowledge Disease Atlas Real-World Evidence program, reported by physicians in United States, France, and Germany. We extracted demographic and medical data from medical records. Some patients voluntarily completed a survey that provided information on disease history, treatment satisfaction, and patient-reported outcomes. RESULTS: We analyzed data from 1216 patients (mean age, 54.9±12.3 years; 57.5% male; mean body mass index, 31.7±6.9); 64.6% had biopsy-confirmed NASH and comorbidities were recorded for 41.3%. Treatments included lifestyle modification (64.6%) or use of statins (25.0%), vitamin E (23.5%), or metformin (20.2%). Patients with biopsy-confirmed NASH reported more physician (4.5 vs 3.7) and outpatient visits (1.8 vs1.4) than patients with suspected NASH not confirmed by biopsy. Among the 299 patients who completed the survey, 47.8% reported various symptoms associated to their NASH. Symptomatic patients reported significantly lower HRQoL than patients without symptoms. CONCLUSIONS: In an analysis of data from 3 countries, we found NASH to be associated with regular use of medical resources; patients with symptoms of NASH had reduced HRQoL. The burden of NASH appears to be underestimated. Studies are needed to determine the burden of NASH by fibrosis stage and disease severity.

The burden of non-alcoholic steatohepatitis (NASH) among patients from Europe: A real-world patient-reported outcomes study.

Data on the economic and humanistic burden of non-alcoholic steatohepatitis (NASH) are scarce. This study assessed the comparative burden of NASH, relative to a representative sample from the general population and a type 2 diabetes mellitus (T2DM) cohort, in terms of health-related quality of life, work productivity and activity impairment (WPAI), and healthcare resource use. METHODS: Data across 5 European countries came from the 2016 National Health and Wellness Survey, a nationally representative patient-reported outcomes survey. Outcomes included mental (MCS) and physical (PCS) component scores from the Short-Form (SF)-36v2, WPAI scores, self-reported physician diagnosis of sleep difficulties, anxiety, and depression, and healthcare resource use: healthcare professional visits, hospital visits, and emergency room visits in the previous 6 months. Bivariate and multivariable analyses were conducted for each outcome and comparative group. RESULTS: After adjusting for matching criteria and covariates, patients with NASH (n = 184) reported significantly worse health-related quality of life, worse WPAI scores, and more healthcare resource use than the general population (n = 736) (MCS 39.22 vs. 45.16, PCS 42.84 vs. 47.76; overall work impairment 49.15% vs. 30.77%, healthcare professional visits 10.73 vs. 6.01, emergency room visits 0.57 vs. 0.22, hospitalizations 0.47 vs. 0.17, p ≪0.05 for all). Patients with NASH did not differ from patients with T2DM (n = 368) on PCS and WPAI scores, suggesting a similar impairment on work and daily activities, but did report significantly worse mental status (MCS 39.64 vs. 43.64, p ≪0.05) and more healthcare resource use than those with T2DM (healthcare professional visits 10.85 vs. 7.86, emergency room visits 0.65 vs. 0.23, hospitalizations 0.39 vs. 0.19, p ≪0.05 for all). CONCLUSIONS: These findings suggest that the burden of NASH may be underestimated, highlighting the unmet needs of patients with NASH. LAY SUMMARY: These findings show that patients with non-alcoholic steatohepatitis (NASH) experience a significant burden of illness, in terms of health-related quality of life, work productivity and activity impairment, and healthcare resource use. As there is currently no approved treatment for NASH, these findings highlight the unmet medical need of patients with NASH.

Medical resource utilization and costs among Australian patients with genotype 1 chronic hepatitis C: results of a retrospective observational study.

OBJECTIVE: To evaluate medical resource utilization (MRU) and associated costs among Australian patients with genotype 1 chronic hepatitis C (GT1 CHC), including both untreated patients and those receiving treatment with first-generation protease inhibitor-based regimens (telaprevir, boceprevir with pegylated interferon and ribavirin). METHODS: Medical records were reviewed for a stratified random sample of GT1 CHC patients first attending two liver clinics between 2011-2013 (principal population; PP), supplemented by all GT1 CHC patients attending one transplant clinic in the same period (transplant population; TP). CHC-related MRU and associated costs are reported for the PP by treatment status (treated/not treated) stratified by baseline fibrosis grade; and for the TP for the pre-transplant, year of transplant and post-transplant periods. RESULTS: A total 1636 patients were screened and 590 patients (36.1%) were included. Comprehensive MRU data were collected for 276 PP patients (F0-1 n = 59, F2 n = 58, F3 n = 53, F4 n = 106; mean follow-up = 17.3 months). Thirty-eight (13.8%) were treatment-experienced prior to enrolment; 55 (19.9%) received triple therapy during the study. Data were collected for 112 TP patients (mean follow-up = 29.9 months), 33 (29.5%) received a transplant during the study, and 51 (45.5%) beforehand. The annual direct medical costs, excluding drug costs, were higher among treated PP vs untreated PP (AU$: $1,954 vs $1,202); and year of transplant TP vs pre-/post-transplant TP (AU$: pre-transplant $32,407, transplant $155,138, post-transplant $7,358). LIMITATIONS: To aid interpretation of results, note that only patients with GT1 CHC who are actively managed are included, and MRU data were collected specifically from liver outpatient clinics. That said, movement of patients between hospitals is rare, and any uncaptured MRU is expected to be minimal. CONCLUSIONS: CHC-related MRU increases substantially with disease severity. These real-world MRU data for GT1 CHC will be valuable in assessing the impact of new hepatitis C treatments.