Dataset Information

Validation of the Hepatocellular Carcinoma Early Detection Screening (HES) Algorithm in a Cohort of Veterans With Cirrhosis.

ABSTRACT: BACKGROUND & AIMS:Early detection of hepatocellular carcinoma (HCC) through surveillance reduces mortality associated with this cancer. Guidelines recommend HCC surveillance every 6 months for patients with cirrhosis, via ultrasonography, with or without measurement of serum level of alpha fetoprotein (AFP). METHODS:We previously developed and internally validated an HCC early detection screening (HES) algorithm that included patient's current level of AFP, rate of AFP change, age, level of alanine aminotransferase, and platelet count in a department of Veterans affairs (VA) cohort with active hepatitis C virus-related cirrhosis. HES score was associated with 3.84% absolute improvement in sensitivity of detection of HCC compared with AFP alone, at 90% specificity, within 6 months prior to diagnosis of this cancer. We externally validated the HES algorithm in a cohort of 38,431 patients with cirrhosis of any etiology evaluated at a VA medical center from 2010 through 2015. RESULTS:A total of 4804 cases of HCC developed during a median follow-up time of 3.12 years. At 90% specificity, the HES algorithm identified patients with HCC with 52.56% sensitivity, compared to 48.13% sensitivity for the AFP assay alone, within 6 months prior to diagnosis; this was an absolute improvement of 4.43% (P < .0005). In HCC screening, a positive result leads to follow-up evaluation by computed tomography or magnetic resonance imaging. We estimated that the number of HCC cases detected per 1000 imaging analyses was 198.57 for the HES algorithm vs 185.52 for the AFP assay alone, or detection of 13 additional cases of HCC (P < .0005). CONCLUSION:We validated the HES algorithm in detection of HCC in patients with cirrhosis of any etiology evaluated at VA medical centers. The algorithm offers a modest but useful advantage over AFP alone in HCC surveillance.

SUBMITTER: Tayob N

PROVIDER: S-EPMC6570589 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Validation of the Hepatocellular Carcinoma Early Detection Screening (HES) Algorithm in a Cohort of Veterans With Cirrhosis.

Tayob Nabihah N Christie Israel I Richardson Peter P Feng Ziding Z White Donna L DL Davila Jessica J Corley Douglas A DA Kanwal Fasiha F El-Serag Hashem B HB

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 20181214 9

<h4>Background & aims</h4>Early detection of hepatocellular carcinoma (HCC) through surveillance reduces mortality associated with this cancer. Guidelines recommend HCC surveillance every 6 months for patients with cirrhosis, via ultrasonography, with or without measurement of serum level of alpha fetoprotein (AFP).<h4>Methods</h4>We previously developed and internally validated an HCC early detection screening (HES) algorithm that included patient's current level of AFP, rate of AFP change, age ...[more]

PMID: 30557738

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Project description:Background & aimsHepatocellular carcinoma (HCC) screening of patients with cirrhosis is recommended by professional societies to increase detection of early stage tumors and survival, but is underused in clinical practice.MethodsWe conducted a retrospective cohort study of 13,714 patients diagnosed with HCC from 2003 through 2013 included in the Surveillance, Epidemiology, and End Results Program-Medicare database. We characterized receipt of HCC screening in the 3 years before HCC diagnosis using mutually exclusive categories (consistent vs inconsistent vs no screening) and the proportion of time covered with screening. Correlates for screening receipt were assessed using a multivariable 2-part regression model. We examined the association between screening receipt and early detection of tumors using multivariable logistic regression. We evaluated associations between screening receipt and overall survival using a Cox proportional hazards model, after adjustments for effects of lead-time bias and length-time bias on survival rate estimators.ResultsMost patients with cirrhosis (51.1%) did not receive any screening in the 3 years before a diagnosis of HCC, and only 6.8% of patients underwent consistent annual screening. The proportion with consistent screening increased from 5.4% in 2003 to 2006 to 8.8% in 2011 to 2013 (P < .001). The mean proportion of time covered was 13.4% overall, which increased from 11.7% in 2003 to 2006 to 15.2% in 2011 to 2013. Receipt of consistent screening was associated with detection of early stage tumors (odds ratio, 1.98; 95% CI, 1.68-2.33) and a reduced risk of death after correction for lead-time bias (hazard ratio, 0.76; 95% CI, 0.70-0.83). Inconsistent screening was associated with a slightly smaller increase in early detection of HCC (odds ratio, 1.31; 95% CI, 1.20-1.43) and a reduced risk of death (hazard ratio, 0.86; 95% CI, 0.83-0.90). After correction for lead- and length-time biases, higher proportions of patients with consistent (23%; 95% CI, 21%-25%) and inconsistent screening (19%; 95% CI, 19%-20%) survived for 3 years compared with patients without screening (13%; 95% CI, 12%-14%).ConclusionsIn an analysis of the Surveillance, Epidemiology, and End Results Program-Medicare database, we found HCC screening to be underused for patients with cirrhosis. This contributes to detection of liver tumors at later stages and shorter times of survival. However, the proportion of patients screened for HCC has increased over time.

Project description:BACKGROUND & AIMS:It is important to quantify medical costs associated with hepatocellular carcinoma (HCC), the incidence of which is rapidly increasing in the United States, for development of rational healthcare policies related to liver cancer surveillance and treatment of chronic liver disease. We aimed to comprehensively quantify healthcare costs for HCC among patients with cirrhosis in an integrated health system and develop a model for predicting costs that is based on clinically relevant variables. METHODS:Three years subsequent to liver cancer diagnosis, costs accrued by patients included in the Veteran's Outcome and Cost Associated with Liver disease cohort were compiled by using the Department of Veterans Affairs Corporate Data Warehouse. The cohort includes all patients with HCC diagnosed in 2008-2010 within the VA with 100% chart confirmation as well as chart abstraction of tumor and clinical characteristics. Cancer cases were matched 1:4 with non-cancer cirrhosis controls on the basis of severity of liver disease, age, and comorbidities to estimate background cirrhosis-related costs. Univariable and multivariable generalized linear models were developed and used to predict cancer-related overall cost. RESULTS:Our analysis included 3188 cases of HCC and 12,722 controls. The mean 3-year total cost of care in HCC patients was $154,688 (standard error, $150,953-$158,422) compared with $69,010 (standard error, $67,344-$70,675) in matched cirrhotic controls, yielding an incremental cost of $85,679; 64.9% of this value reflected increased inpatient costs. In univariable analyses, receipt of transplantation, Barcelona Clinic Liver Cancer (BCLC) stage, liver disease etiology, hospital academic affiliation, use of multidisciplinary tumor board, and identification through surveillance were associated with cancer-related costs. Multivariable generalized linear models incorporating transplantation status, BCLC stage, and multidisciplinary tumor board presentation accurately predicted liver cancer-related costs (Hosmer-Lemeshow goodness of fit; P value ? 1.0). CONCLUSIONS:In a model developed to comprehensively quantify healthcare costs for HCC among patients with cirrhosis in an integrated health system, we associated receipt of liver transplantation, BCLC stage, and multidisciplinary tumor board with higher costs. Models that predict total costs on the basis of receipt of liver transplantation were constructed and can be used to model cost-effectiveness of therapies focused on HCC prevention.

Project description:Background & aimsSurveillance of patients with cirrhosis increases early detection of hepatocellular carcinoma (HCC) and prolongs survival. However, its effectiveness is limited by underuse, particularly among racial/ethnic minorities and individuals of low socioeconomic status. We compared the effectiveness of mailed outreach strategies, with and without patient navigation, in increasing the numbers of patients with cirrhosis undergoing surveillance for HCC in a racially diverse and socioeconomically disadvantaged cohort.MethodsWe performed a prospective study of patients with documented or suspected cirrhosis at a large safety-net health system from December 2014 through March 2016. Patients were assigned randomly (1:1:1) to groups that received mailed invitations for an ultrasound screening examination (n = 600), mailed invitations for an ultrasound screening examination and patient navigation (barrier assessment and motivational education for patients who declined screening; n = 600), or usual care (visit-based screening; n = 600). Patients who did not respond to outreach invitations within 2 weeks received up to 3 reminder telephone calls. The primary outcome was completion of abdominal imaging within 6 months of randomization.ResultsBaseline characteristics were similar among groups. Cirrhosis was documented, based on International Classification of Diseases, 9th revision, codes, for 79.6% of patients, and suspected, based on noninvasive markers of fibrosis, for 20.4%. In an intent-to-treat analysis, significantly greater proportions of patients who received the mailed invitation and navigation (47.2%) or the mailed invitation alone (44.5%) underwent HCC screening than patients who received usual care (24.3%) (P < .001 for both comparisons). However, screening rates did not differ significantly between outreach the outreach groups (P = .25). The effects of the outreach program were consistent in all subgroups, including Caucasian vs non-Caucasian race, documented vs suspected cirrhosis, Child-Pugh A vs B cirrhosis, and receipt of gastroenterology care.ConclusionsIn a prospective study, we found outreach strategies to double the percentage of patients with cirrhosis who underwent ultrasound screening for HCC. However, adding patient navigation to telephone reminders provided no significant additional benefit. ClinicalTrials.gov no: NCT02312817.

Project description:<p><strong>BACKGROUND & AIMS: </strong>The effectiveness of surveillance for hepatocellular carcinoma (HCC) in patients with cirrhosis is limited, due to inadequate risk stratification and suboptimal performance of current screening modalities.</p><p><strong>METHODS: </strong>We developed a multicenter prospective cohort of patients with cirrhosis undergoing surveillance with MRI and applied global untargeted metabolomics to 612 longitudinal serum samples from 203 patients. Among them, 37 developed HCC during follow-up.</p><p><strong>RESULTS: </strong>We identified 150 metabolites with significant abundance changes in samples collected prior to HCC (Cases) compared to samples from patients who did not develop HCC (Controls). Tauro-conjugated bile acids and gamma-glutamyl amino acids were increased, while acyl-cholines and deoxycholate derivatives were decreased. Seven amino acids including serine and alanine had strong associations with HCC risk, while strong protective effects were observed for N-acetylglycine and glycerophosphorylcholine. Machine learning using the 150 metabolites, age, gender, and PNPLA3 and TMS6SF2 single nucleotide polymorphisms, identified 15 variables giving optimal performance. Among them, N-acetylglycine had the highest AUC in discriminating Cases and Controls. When restricting Cases to samples collected within 1 year prior to HCC (Cases-12M), additional metabolites including microbiota-derived metabolites were identified. The combination of the top six variables identified by machine learning (alpha-fetoprotein, 6-bromotryptophan, N-acetylglycine, salicyluric glucuronide, testosterone sulfate and age) had good performance in discriminating Cases-12M from Controls (AUC 0.88, 95% CI 0.83-0.93). Finally, 23 metabolites distinguished Cases with LI-RADS-3 lesions from Controls with LI-RADS-3 lesions, with reduced abundance of acyl-cholines and glycerophosphorylcholine-related lysophospholipids in Cases.</p><p><strong>CONCLUSIONS: </strong>This study identified N-acetylglycine, amino acids, bile acids and choline-derived metabolites as biomarkers of HCC risk, and microbiota-derived metabolites as contributors to HCC development.</p>

Project description:BackgroundHepatocellular carcinoma (HCC) has limited treatment options in patients with advanced stage disease and early detection of HCC through surveillance programs is a key component towards reducing mortality. The current practice guidelines recommend that high-risk cirrhosis patients are screened every six months with ultrasonography but these are done in local hospitals with variable quality leading to disagreement about the benefit of HCC surveillance. The well-established diagnostic biomarker ?-Fetoprotein (AFP) is used widely in screening but the reported performance varies widely across studies. We evaluate two biomarker screening approaches, a six-month risk prediction model and a parametric empirical Bayes (PEB) algorithm, in terms of their ability to improve the likelihood of early detection of HCC compared to current AFP alone when applied prospectively in a future study.MethodsWe used electronic medical records from the Department of Veterans Affairs Hepatitis C Clinical Case Registry to construct our analysis cohort, which consists of serial AFP tests in 11,222 cirrhosis control patients and 902 HCC cases prior to their HCC diagnosis. The six-month risk prediction model incorporates routinely measured laboratory tests, age, the rate of change in AFP over the past year with the current AFP. The PEB algorithm incorporates prior AFP screening values to identify patients with a significant elevated level of AFP at their current screen. We split the analysis cohort into independent training and validation datasets. All model fitting and parameter estimation was performed using the training data and the algorithm performance was assessed by applying each approach to patients in the validation dataset.ResultsWhen the screening-level false positive rate was set at 10%, the patient-level true positive rate using current AFP alone was 53.88% while the patient-level true positive rate for the six-month risk prediction model was 58.09% (4.21% increase) and PEB approach was 63.64% (9.76% increase). Both screening approaches identify a greater proportion of HCC cases earlier than using AFP alone.ConclusionsThe two approaches show greater potential to improve early detection of HCC compared to using the current AFP only and are worthy of further study.

Dataset Information

Validation of the Hepatocellular Carcinoma Early Detection Screening (HES) Algorithm in a Cohort of Veterans With Cirrhosis.

Publications

Validation of the Hepatocellular Carcinoma Early Detection Screening (HES) Algorithm in a Cohort of Veterans With Cirrhosis.

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