A do it yourself (DIY) point-of-care wrist ultrasound phantom for joint access training.

BACKGROUND: Joint access is essential for arthrocentesis, or joint aspiration of fluids. Joint treatments that are not performed properly can result in avoidable patient issues such as damage to the muscles, tendons, and blood vessels surrounding the joint. The use of ultrasound has become the gold standard for this procedure and proven to be a support in the skill learning process. However, success with this equipment, particularly in small joints like the wrist, depends on a clinician's capacity to recognize the crucial landmarks that guide these procedures. Prior to executing on a real patient, task trainers have proven to be an effective way for doctors to practice and prepare for procedures. However, shortcomings of current solutions include high purchase costs, incompatibility with ultrasound imaging, and low reusability. In addition, since this is a procedure that is not performed frequently, there may not be space or resources available in healthcare facilities to accommodate one at the point of care. This study aimed to close the existing gap by developing a DIY ultrasound compatible task trainer for wrist joint access training. RESULTS: We developed a novel ultrasound compatible wrist joint model that can be made from sustainable materials and reusable parts, thus reducing the costs for acquisition and environmental impact. Our model, which was produced utilizing small-batch production methods, is made up of 3D-printed bones enclosed in an ultrasound-compatible gelatin mixture. It can be easily remade after each practice session, removing needle tracks that are visible under ultrasound for conventional phantoms. The ultrasonic properties of this model were tested through pixel brightness analysis and visual inspection of simulated anatomical structures. CONCLUSION: Our results report the advantages and limitations of the proposed model regarding production, practice, and ultrasound compatibility. While future work entails the transfer to patients of the same skill, this reusable and replicable model has proven, when presented to experts, to be successful in representing the physical characteristics and ultrasound profile of significant anatomical structures. This novel DIY product could be an effective alternative to teach procedures in the context of resource-restrained clinical simulation centers.

Detection of COVID-19 features in lung ultrasound images using deep neural networks.

BACKGROUND: Deep neural networks (DNNs) to detect COVID-19 features in lung ultrasound B-mode images have primarily relied on either in vivo or simulated images as training data. However, in vivo images suffer from limited access to required manual labeling of thousands of training image examples, and simulated images can suffer from poor generalizability to in vivo images due to domain differences. We address these limitations and identify the best training strategy. METHODS: We investigated in vivo COVID-19 feature detection with DNNs trained on our carefully simulated datasets (40,000 images), publicly available in vivo datasets (174 images), in vivo datasets curated by our team (958 images), and a combination of simulated and internal or external in vivo datasets. Seven DNN training strategies were tested on in vivo B-mode images from COVID-19 patients. RESULTS: Here, we show that Dice similarity coefficients (DSCs) between ground truth and DNN predictions are maximized when simulated data are mixed with external in vivo data and tested on internal in vivo data (i.e., 0.482 ± 0.211), compared with using only simulated B-mode image training data (i.e., 0.464 ± 0.230) or only external in vivo B-mode training data (i.e., 0.407 ± 0.177). Additional maximization is achieved when a separate subset of the internal in vivo B-mode images are included in the training dataset, with the greatest maximization of DSC (and minimization of required training time, or epochs) obtained after mixing simulated data with internal and external in vivo data during training, then testing on the held-out subset of the internal in vivo dataset (i.e., 0.735 ± 0.187). CONCLUSIONS: DNNs trained with simulated and in vivo data are promising alternatives to training with only real or only simulated data when segmenting in vivo COVID-19 lung ultrasound features.

Computational tools are often used to aid detection of COVID-19 from lung ultrasound images. However, this type of detection method can be prone to misdiagnosis if the computational tool is not properly trained and validated to detect image features associated with COVID-19 positive lungs. Here, we devise and test seven different strategies that include real patient data and simulated patient data to train the computational tool on how to correctly diagnose image features with high accuracy. Simulated data were created with software that models ultrasound physics and acoustic wave propagation. We find that incorporating simulated data in the training process improves training efficiency and detection accuracy, indicating that a properly curated simulated dataset can be used when real patient data are limited.

Implementation of an International Severe Infection Point-of-Care Ultrasound Research Network.

INTRODUCTION: Point-of-care ultrasound (POCUS) is a rapid, readily available, and cost-effective diagnostic and prognostic modality in a range of clinical settings. However, data to support its clinical application are limited. This project's main goal was to assess the effectiveness of standardizing lung ultrasound (LUS) training for sonographers to determine if universal LUS adoption is justified. MATERIALS AND METHODS: We describe the effectiveness of an implementation of a LUS research training program across eight international study sites in Asia, Africa, and North America as part of prospective Coronavirus Disease of 2019 (COVID-19) and sepsis study cohorts (Rapid Assessment of Infection with SONography research network). Within our network, point-of-care LUS was used to longitudinally evaluate radiographic markers of lung injury. POCUS operators were personnel from a variety of backgrounds ranging from research coordinators with no medical background to experienced clinicians. RESULTS: Following a standardized protocol, 49 study sonographers were trained and LUS images from 486 study participants were collected. After training was completed, we compared before and after image qualities for interpretation. The proportion of acceptable images improved at each site between the first 25 scans and the second 25 scans, resulting in 80% or greater acceptance at each study site. CONCLUSIONS: POCUS training and implementation proved feasible in diverse research settings among a range of providers. Standardization across ongoing cohort protocols affords opportunities for increased statistical power and generalizability of results. These results potentially support care delivery by enabling military medics to provide care at the point of injury, as well as aiding frontline clinicians in both austere and highly resourced critical care settings.

Do worsening lung ultrasound scans identify severe COVID-19 trajectories?

Background: While point-of-care ultrasound (POCUS) has been used to track worsening COVID-19 disease it is unclear if there are dynamic differences between severity trajectories. Methods: We studied 12-lung zone protocol scans from 244 participants [with repeat scans obtained in 3 days (N = 114), 7 days (N = 53), and weekly (N = 9)] ≥ 18 years of age hospitalized for COVID-19 pneumonia. Differences in mean lung ultrasound (LUS) scores and percent of lung fields with A-lines over time were compared between peak severity levels (as defined by the WHO clinical progression scale) using linear mixed-effects models. Results: Mean LUS scores were elevated by 0.19 (p = 0.035) and A-lines were present in 14.7% fewer lung fields (p = 0.02) among those with ICU-level or fatal peak illness compared to less severe hospitalized illness, regardless of duration of illness. There were no differences between severity groups in the trajectories of mean LUS score 0.19 (p = 0.66) or percent A-lines (p = 0.40). Discussion: Our results do not support the use of serial LUS scans to monitor COVID-19 disease progression among hospitalized adults.

The Effects of Internet-Based Storytelling Programs (Amazing Adventure Against Stigma) in Reducing Mental Illness Stigma With Mediation by Interactivity and Stigma Content: Randomized Controlled Trial.

BACKGROUND: Mental illness stigma has been a global concern, owing to its adverse effects on the recovery of people with mental illness, and may delay help-seeking for mental health because of the concern of being stigmatized. With technological advancement, internet-based interventions for the reduction of mental illness stigma have been developed, and these effects have been promising. OBJECTIVE: This study aimed to examine the differential effects of internet-based storytelling programs, which varied in the levels of interactivity and stigma content, in reducing mental illness stigma. METHODS: Using an experimental design, this study compared the effects of 4 storytelling websites that varied in the levels of interactivity and stigma content. Specifically, the conditions included an interactive website with stigma-related content (combo condition), a noninteractive website with stigma-related content (stigma condition), an interactive website without stigma-related content (interact condition), and a noninteractive website without stigma-related content (control condition). Participants were recruited via mass emails to all students and staff of a public university and via social networking sites. Eligible participants were randomized into the following four conditions: combo (n=67), stigma (n=65), interact (n=64), or control (n=67). The participants of each group viewed the respective web pages at their own pace. Public stigma, microaggression, and social distance were measured on the web before the experiment, after the experiment, and at the 1-week follow-up. Perceived autonomy and immersiveness, as mediators, were assessed after the experiment. RESULTS: Both the combo (n=66) and stigma (n=65) conditions were effective in reducing public stigma and microaggression toward people with mental illness after the experiment and at the 1-week follow-up. However, none of the conditions had significant time×condition effects in reducing the social distance from people with mental illness. The interact condition (n=64) significantly reduced public stigma after the experiment (P=.02) but not at the 1-week follow-up (P=.22). The control condition (n=67) did not significantly reduce all outcomes associated with mental illness stigma. Perceived autonomy was found to mediate the effect of public stigma (P=.56), and immersiveness mediated the effect of microaggression (P=.99). CONCLUSIONS: Internet-based storytelling programs with stigma-related content and interactivity elicited the largest effects in stigma reduction, including reductions in public stigma and microaggression, although only its difference with internet-based storytelling programs with stigma-related content was not statistically significant. In other words, although interactivity could strengthen the stigma reduction effect, stigma-related content was more critical than interactivity in reducing stigma. Future stigma reduction efforts should prioritize the production of effective stigma content on their web pages, followed by considering the value of incorporating interactivity in future internet-based storytelling programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT05333848; https://clinicaltrials.gov/ct2/show/NCT05333848.

Approach to Abdominal Imaging in 2022.

Abdominal pain represents 5% to 7% of all emergency department presentations. Many patients require imaging for diagnosis, and choosing the appropriate imaging modality is a crucial decision point. Modern medicine offers a fantastic array of options including abdominal radiograph, computed tomography, MRI, and ultrasonography, but the plethora of alternatives can be paralyzing. This article introduces the commonly available modalities, discusses the advantages and disadvantages, and presents current recommendations for commonly diagnosed conditions.

A Distance-Learning Approach to Point-of-Care Ultrasound Training (ADAPT): A Multi-Institutional Educational Response During the COVID-19 Pandemic.

PROBLEM: The COVID-19 pandemic significantly disrupted point-of-care ultrasound (POCUS) education. Medical schools and residency programs placed restrictions on bedside teaching and clinical scanning as part of risk mitigation. In response, POCUS faculty from 15 institutions nationwide collaborated on an alternative model of ultrasound education, A Distance-learning Approach to POCUS Training (ADAPT). APPROACH: ADAPT was repeated monthly from April 1 through June 30, 2020. It accommodated 70 learners, who included 1- to 4-week rotators and asynchronous learners. The curriculum included assigned prework and learning objectives covering 20 core POCUS topics. A rotating group of 30 faculty and fellows delivered daily virtual teaching sessions that included gamification to increase learner engagement and hands-on instruction through teleguidance. After participation, faculty and learners completed anonymous surveys. OUTCOMES: Educators reported a significant decrease in preparatory time (6.2 vs 3.1 hours per week, P < .001) dedicated to ultrasound education after implementing ADAPT. The majority of 29 learners who completed surveys felt "somewhat confident" or "very confident" in their ability to acquire (n = 25, 86.2%) and interpret (n = 27, 93.1%) ultrasound images after the intervention; the majority of 22 educators completing surveys rated the program "somewhat effective" or "very effective" at contributing to learner's ability to acquire (n = 13, 59.1%) and interpret (n = 20, 90.9%) images. Most learners (n = 28, 96.6%) and all educators (n = 22, 100%) were "satisfied" or "very satisfied" with ADAPT as a whole, and the large majority of educators were "very likely" (n = 18, 81.8%) to recommend continued use of this program. NEXT STEPS: A virtual curriculum that pools the efforts of multiple institutions nationwide was implemented rapidly and effectively while satisfying educational expectations of both learners and faculty. This collaborative framework can be replicated and may be generalizable to other educational objectives.

Diagnostic accuracy of lung ultrasound for SARS-CoV-2: a retrospective cohort study.

BACKGROUND: As medical infrastructures are strained by SARS-CoV-2, rapid and accurate screening tools are essential. In portions of the world, reverse transcription polymerase chain reaction (RT-PCR) testing remains slow and in limited supply, and computed tomography is expensive, inefficient, and involves exposure to ionizing radiation. Multiple studies evaluating the efficiency of lung point-of-care ultrasound (POCUS) have been published recently, but include relatively small cohorts and often focus on characteristics associated with severe illness rather than screening efficacy. This study utilizes a retrospective cohort to evaluate the test characteristics (sensitivity, specificity, likelihood ratios, predictive values) of lung POCUS in the diagnosis of SARS-CoV-2, and to determine lung score cutoffs that maximize performance for use as a screening tool. RESULTS: Lung POCUS examinations had sensitivity 86%, specificity 71.6%, NPV 81.7%, and PPV 77.7%. The Lung Ultrasound Score had an area under the curve of 0.84 (95% CI 0.78, 0.90). When including only complete examinations visualizing 12 lung fields, lung POCUS had sensitivity 90.9% and specificity 75.6%, with NPV 87.2% and PPV 82.0% and an area under the curve of 0.89 (95% CI 0.83, 0.96). Lung POCUS was less accurate in patients with a history of interstitial lung disease, severe emphysema, and heart failure. CONCLUSIONS: When applied in the appropriate patient population, lung POCUS is an inexpensive and reliable tool for rapid screening and diagnosis of SARS-CoV-2 in symptomatic patients with influenza-like illness. Adoption of lung POCUS screening for SARS-CoV-2 may identify patients who do not require additional testing and reduce the need for RT-PCR testing in resource-limited environments and during surge periods.

A systematic review of the cost-effectiveness of ultrasound in emergency care settings.

BACKGROUND: The use of ultrasound (US) in emergency departments (ED) has become widespread. This includes both traditional US scans performed by radiology departments as well as point-of-care US (POCUS) performed by bedside clinicians. There has been significant interest in better understanding the appropriate use of imaging and where opportunities to enhance cost-effectiveness may exist. The purpose of this systematic review is to identify published evidence surrounding the cost-effectiveness of US in the ED and to grade the quality of that evidence. METHODS: We performed a systematic review of the literature following Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Studies were considered for inclusion if they were: (1) economic evaluations, (2) studied the clinical use of ultrasound, and (3) took place in an emergency care setting. Included studies were critically appraised using the Consolidated Health Economic Evaluation Reporting Standards checklist. RESULTS: We identified 631 potentially relevant articles. Of these, 35 studies met all inclusion criteria and were eligible for data abstraction. In general, studies were supportive of the use of US. In particular, 11 studies formed a strong consensus that US enhanced cost-effectiveness in the investigation of pediatric appendicitis and 6 studies supported enhancements in the evaluation of abdominal trauma. Across the studies, weaknesses in methodology and reporting were common, such as lack of sensitivity analyses and inconsistent reporting of incremental cost-effectiveness ratios. CONCLUSIONS: The body of existing evidence, though limited, generally demonstrates that the inclusion of US in emergency care settings allows for more cost-effective care. The most definitive evidence for improvements in cost-effectiveness surround the evaluation of pediatric appendicitis, followed by the evaluation of abdominal trauma. POCUS outside of trauma has had mixed results.

Evaluation of Gender Differences in Ultrasound Milestone Evaluations During Emergency Medicine Residency Training: A Multicenter Study.

OBJECTIVES: Prior literature has demonstrated incongruities among faculty evaluation of male and female residents' procedural competency during residency training. There are no known studies investigating gender differences in the assessment of procedural skills among emergency medicine (EM) residents, such as those required by ultrasound. The objective of this study was to determine if there are significant gender differences in ultrasound milestone evaluations during EM residency training. METHODS: We used a stratified, random cluster sample of Accreditation Council for Graduate Medical Education (ACGME) EM residency programs to conduct a longitudinal, retrospective cohort analysis of resident ultrasound milestone evaluation data. Milestone evaluation data were collected from a total of 16 ACGME-accredited EM residency programs representing a 4-year period. We stratified milestone data by resident gender, date of evaluation, resident postgraduate year, and cohort (residents with the same starting date). RESULTS: A total of 2,554 ultrasound milestone evaluations were collected from 1,187 EM residents (750 men [62.8%] and 444 women [37.1%]) by 104 faculty members during the study period. There was no significant overall difference in mean milestone score between female and male residents [mean difference = 0.01 (95% confidence interval {CI} = -0.04 to 0.05)]. There were no significant differences between female and male residents' mean milestone scores at the first (baseline) PGY1 evaluation (mean difference = -0.04 [95% CI = -0.09 to 0.003)] or at the final evaluation during PGY3 (mean difference = 0.02 [95% CI = -0.03 to 0.06)]. CONCLUSIONS: Despite prior studies suggesting gender bias in the evaluation of procedural competency during residency training, our study indicates that there were no significant gender-related differences in the ultrasound milestone evaluations among EM residents within training programs throughout the United States.

Hepatitis B Surface Antigen Levels Are Related to Spontaneous Hepatitis B Surface Antigen Seroconversion in Inactive Hepatitis B Carriers.

BACKGROUND: The cure for hepatitis B is defined as the hepatitis B surface antigen (HBsAg) seroclearance and/or seroconversion. Predictors of spontaneous seroconversion are not well described. The objective of this study is to identify predictors of spontaneous HBsAg seroconversion from community practice. METHODS: We performed a matched analysis of patients who HBsAg seroconverted (cases) and patients who did not HBsAg seroconvert (control) in a 1:5 ratio according to date of clinic visit between 2014 and 2019 in a large community practice situated in Los Angeles area. Baseline laboratory and clinical data were collected. Univariate analysis and 2-sided t tests were performed, χ test for proportions, and logistic regression. RESULTS: We identified 14 cases and 70 controls. The mean (±SD) ages of the cases and controls were 53.6 (±12.2) and 49.5 (±13.1), respectively (P=0.45). Most patients were women, and all patients were of Asian descent. There were statistically significant mean (±SD) baseline differences between cases and controls in HBsAg titers (459.8±311.0 and 782.0±393.3 IU/mL, P=0.01) and alanine aminotransferase (ALT) values (17.6±4.4 and 25.1±16.7 IU/mL, P<0.01), respectively. Baseline hepatitis B virus DNA and other pertinent laboratory values did not differ between cases and controls. Eleven of 14 cases (79%) and 11 of 70 controls (16%) baseline HBsAg titers were <1000 IU/mL (P<0.01). The results of a logistic regression demonstrated that HBsAg titers and ALT values were predictor variables for HBsAg seroconversion (P=0.01 and <0.01, respectively). CONCLUSIONS: Spontaneous HBsAg seroclearance and seroconversion is an uncommon event in patients with chronic hepatitis B. The most important predictors of seroconversion are HBsAg titers<1000 IU/mL and low baseline ALT values.

Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network.

Many traits are complex, depending non-additively on variant combinations. Even in model systems, such as the yeast S. cerevisiae, carrying out the high-order variant-combination testing needed to dissect complex traits remains a daunting challenge. Here, we describe "X-gene" genetic analysis (XGA), a strategy for engineering and profiling highly combinatorial gene perturbations. We demonstrate XGA on yeast ABC transporters by engineering 5,353 strains, each deleted for a random subset of 16 transporters, and profiling each strain's resistance to 16 compounds. XGA yielded 85,648 genotype-to-resistance observations, revealing high-order genetic interactions for 13 of the 16 transporters studied. Neural networks yielded intuitive functional models and guided exploration of fluconazole resistance, which was influenced non-additively by five genes. Together, our results showed that highly combinatorial genetic perturbation can functionally dissect complex traits, supporting pursuit of analogous strategies in human cells and other model systems.

Long-term health-related burden of adult congenital heart diseases in Hong Kong.

Aims: This study aimed to examine the long-term clinical and economic burden of adults with congenital heart disease (ACHD) in Hong Kong. Methods: It retrospectively analyzed 336 consecutive ACHD patients who attended the Adult Congenital Heart Clinic between January 1, 2009 and December 31, 2014. Direct medical costs and clinical outcomes over the 5 years were calculated and documented. The economic evaluation was from the hospital's perspective. Results: The median age of ACHD patients was 47 (31-62) years old, with female predominance (61.5%). Ventricular and atrial septal defects accounted for 70% and severe ACHD for 10% of the study cohort. The prevalence of arrhythmia and heart failure increased with the complexity of CHD. The total mean annual cost for managing each ACHD patient was USD 2,913. The annual cost of management of simple ACHD was USD 2,638 vs complex ACHD (USD 6,425) (p = 0.013). Conclusions: This study demonstrated severe ACHD patients accounted for higher cardiovascular morbidities in arrhythmias and heart failure with a higher cost of management.

Effectiveness of Ledipasvir/Sofosbuvir with/without Ribavarin in Liver Transplant Recipients with Hepatitis C.

Background and Aims: Recurrent infection of hepatitis C virus (HCV) in liver transplant (LT) recipients is universal and associated with significant morbidity and mortality. Methods: We retrospectively evaluated the safety and efficacy of ledipasvir/sofosbuvir with and without ribavirin in LT recipients with recurrent genotype 1 hepatitis C. Results: Eighty-five LT recipients were treated for recurrent HCV with ledipasvir/sofosbuvirwith and without ribavirin for 12 or 24 weeks. The mean (± standard deviation [SD]) time from LT to treatment initiation was 68 (±71) months. The mean (± SD) age of the cohort was 63 (±8.6) years old. Most recipients were male (70%). Baseline alanine transaminase, total bilirubin, and HCV ribonucleic acid (RNA) values (± SD) were 76.8 (±126) mg/dL, 0.8 (±1.3) U/L, and 8,010,421.9 (±12,420,985) IU/mL, respectively. Five of 43 recipients who were treated with ribavirin required drug cessation due to side effects, with 4 of those being anemia complications. No recipient discontinued the ledipasvir/sofosbuvir. Eighty-one percent of recipients had undetectable viral levels at 4 weeks after starting therapy, and all recipients had complete viral suppression at the end of therapy. The sustained viral response at 12 weeks after completion of therapy was 94%. Conclusion : Ledipasvir and sofosbuvir with and without ribavirin therapy is an effective and well-tolerated interferon-free treatment for recurrent HCV infection after LT. Anemia is not uncommon in LT recipients receiving ribavirin.

Challenges and Variations in Emergency Medicine Residency Training of Ultrasound-guided Regional Anesthesia Techniques.

BACKGROUND: Ultrasound guidance has become an integral component to procedural and diagnostic practice for the emergency physician. Whereas landmark-guided methods were used for peripheral nerve blocks in the past, the use of ultrasound has made regional anesthesia procedures faster, more successful, and feasible as a pain management modality in the emergency department. Not only the utilization, but also the teaching of ultrasound has become an essential aspect of emergency medicine residency training. Prior studies have found a substantial variation in practice and policies with regard to ultrasound-guided regional anesthesia (UGRA) and this translates to the education of both residents and fellows. OBJECTIVES: The objective was to describe the current state of UGRA education, trends, and barriers in emergency medicine residency and ultrasound fellowship programs in the United States. METHODS: A cross-sectional survey was conducted via the Internet utilizing the Qualtrics software platform. It was distributed to ultrasound directors and program directors of both Accreditation Council for Graduate Medical Education (ACGME) and American Osteopathic Association (AOA) accredited emergency medicine residency programs and ultrasound fellowships. Data analysis, cross-tabulation, and subgroup analysis were performed utilizing the software. RESULTS: We received a total of 138 responses (response rate of 66.3%). There was substantial variability with regard to implementing UGRA education. Additionally, there was a trend correlating a greater likelihood of UGRA education among programs with more than two ultrasound faculty members. Faculty training is considered to be the greatest barrier to teaching UGRA to residents and fellows. CONCLUSION: Resident and fellow education with regard to UGRA varies significantly among individual programs. Although there are currently no ACGME or AOA guidelines, nearly all residency programs believe that this is a skill that emergency physicians should learn. With the identification of key barriers and the need for an increased number of trained faculty, pain management utilizing UGRA may become an integral part to emergency medicine resident and fellow education.

Accessibility to Oral Antiviral Therapy for Patients with Chronic Hepatitis C in the United States.

Background : Hepatitis C (HCV) direct acting antiviral agents (DAAs) are safe, effective, and tolerable. Most contraindications to interferon-based treatment are no long applicable. The aims of this study were to understand the predictors of approval to drug accessibility. Methods : We studied all consecutive patients with HCV prescribed DAAs between October 2014 and July 2015. Data on demographic, socio-economic status, comorbidities, baseline laboratory values, and assessment of liver disease severity, insurance, and specialty pharmacy type were collected. Multivariate analyses were performed to identify predictors of prescription approval. Results : In total, 410 patients were prescribed DAAs between October 2014 and July 2015. Of those, 332 (81%) patients were insurance approved for therapy. Of the 332 patients accepted, 251 were accepted after the first prescription attempt, and 38 were accepted after the second and third attempts. The number of attempts for the other 43 approved patients was unknown. Older age (p = 0.001), employment (p = 0.001), lack of comorbidities (p = 0.02), liver transplantation (p = 0.018), and advanced liver disease (p = 0.001) were more likely associated with obtaining approval. Household income was not associated with insurance approval. In the multivariate analysis, Medicare insurance (odds ratio [OR]) 2.67, 95% confidence interval [CI] 0.96-7.20), lack of nonliver comorbidities (OR 2.72, 95% CI 1.35-5.43), and the presence of advanced liver disease (OR 1.82, 95% CI 1.04-3.24) independently predicted drug approval. Conclusion : Despite the availability of DAAs for HCV, barriers from insurance carriers continue to impair widespread use. Patients with advanced liver disease, Medicare, and without comorbidities are most likely to be insurance approved for DAAs.

Timing of Antiviral Therapy in Candidates for Liver Transplant for Hepatitis C and Hepatocellular Carcinoma.

OBJECTIVES: Hepatitis C virus infection is the most common underlying reason for hepatocellular carcinoma and indication for liver transplant. The increased availability of non-interferon-based therapy has expanded the number of treatment-eligible patients. MATERIALS AND METHODS: We used a decision analysis model to compare 2 strategies of treating hepatitis C virus. Included patients were followed for 1 year after liver transplant. The probabilities and costs were obtained from a literature review, an expert panel, and our institution's experience. Sensitivity analyses were performed on all variables. RESULTS: Our model demonstrated that it would be less costly to treat patients after liver transplant than to treat patients while they wait for transplant. When we compared baseline values, the cost difference between the 2 strategies was $25,011 per patient and $41,535 per sustained viral response. Overall survival was 60.1% for both strategies. Our model was robust across most of the variables tested in the sensitivity analysis. CONCLUSIONS: Our results indicated that there is no substantial pharmacoeconomic or survival advantage of treating hepatitis C virus in patients with compensated cirrhosis and hepatocellular carcinoma before liver transplant versus after transplant.