Estimating the Potential Economic Impact of Tissue Valve Replacement for Heart Valve Disease in China: Patient-Level and Population-Level Cost-Benefit Simulation Analyses.

OBJECTIVES: This study seeks to estimate the potential societal economic impact of treating patients with heart valve disease (HVD) in China with surgical tissue valve replacement versus mechanical valves. METHODS: This societal economic cost-benefit evaluation is based on an individual simulation model for subgroups of patients with HVD that is also aggregated to a macrosocietal model. The individual simulation model was developed to estimate the likely economic impact of surgical aortic valve replacement (SAVR) with tissue versus mechanical valves for different subgroups among all eligible patients with HVD over their remaining lifetimes. Clinical inputs were informed by health claims database analysis, expert clinical opinion, and published literature. Epidemiological inputs and demographic inputs were sourced from the published literature and the China Statistical Yearbook 2020. Health gains were valued at 3 times the average national income. RESULTS: Projected total lifetime economic gains were greater for patients receiving tissue valves. Costs were reported in 2021 US dollars. The average lifetime net economic gain for tissue valve patients was $51 736 (20.0% more than for mechanical valve patients). Increasing the use of tissue valves to 50% among all eligible patients with HVD would provide aggregate long-term economic gains of $167 billion during their remaining lifetimes. The economic gains from greater tissue valve use were due to avoiding anticoagulation monitoring costs, improved quality of life, and greater post-SAVR labor force participation. CONCLUSION: Increased use of tissue valves versus mechanical values in SAVR procedures in China would be likely to generate a substantial societal economic gain.

Vaccine confidence among people who use drugs: A cross-sectional survey.

Adult immunization coverage remains low in the US, particularly for people who use drugs (PWUD), a population that experiences a disproportionate burden of vaccine-preventable diseases. The extent of and characteristics associated with vaccine confidence (VC) held by PWUD is poorly understood. As VC strongly correlates with vaccine uptake, this cross-sectional study identifies mutable factors associated with VC and quantifies its relationship to immunization status within a highly vulnerable, underimmunized population of PWUD. Using a community-engaged research strategy with select partner organizations hosting syringe exchange programs in Atlanta, Los Angeles, and Las Vegas, USA, we surveyed participants ages 18-69 years served by these organizations from 2019 to 2020. Survey measures included sociodemographics, health behavior including immunization receipt, and vaccine confidence in adult vaccinations using a modified Emory Vaccine Confidence Index (EVCI). The findings reflect relatively low VC among the 1,127 recruited participants, with 56% expressing low VC (EVCI 0-12), 35% medium (EVCI 13-20) and 10% high (EVCI 21-24). EVCI varied by city, with lowest confidence in Atlanta and highest in Las Vegas. VC was associated with past receipt of specific vaccines, including hepatitis A, MMR, Tdap, and influenza. VC varied by specific sociodemographic correlates such as housing insecurity (reduced confidence) and receipt of public benefits or disability (increased confidence). This study identified correlates associated with VC based on site and sociodemographic characteristics for this priority population, highlighting the need for specific interventions to raise VC among PWUD, especially among those experiencing housing insecurity and without public benefits.

Cost-Consequence Analysis of Using Cangrelor in High Angiographic Risk Percutaneous Coronary Intervention Patients: A US Hospital Perspective.

OBJECTIVES: The objective of this study was to evaluate a US hospital's cost implications and outcomes of cangrelor use in percutaneous coronary intervention (PCI) patients with two or more angiographic high-risk features (HRFs), including avoidance of oral P2Y12 inhibitor pretreatment in patients requiring cardiac surgery. Intravenous cangrelor provides direct, immediate onset and rapid-offset P2Y12 inhibition, which may reduce the necessity for oral P2Y12 pretreatment. METHODS: A decision analytic model was developed, estimating the annual impact over 3 years of cangrelor availability. Ischemic and bleeding events (48 h) from randomized clinical trial data were extrapolated to 30 days. Event costs were from the CHAMPION PHOENIX Economics substudy. Rates of coronary artery disease (CAD) presentation, PCI, oral P2Y12 pretreatment, and inpatient hospitalization costs were from published literature and clinical experts. Scenario analyses evaluated the impact of cangrelor availability on potential reduced P2Y12 pretreatment rates by 50-100%. Drug costs were 2019 wholesale acquisition costs and, where necessary, all costs were adjusted to 2019 dollars. RESULTS: In a hospital treating 1000 CAD PCI inpatients annually, increasing cangrelor use from 11 to 32% resulted in a reduction in 48-h ischemic events/year by 5.7%, while bleeding events increased by 2.9%. Total costs of $1,135,472 declined 12.8%, with a 50% reduction in P2Y12 pretreatment or 30% with no pretreatment. Savings were driven by a decrease in ischemic events, decrease in glycoprotein IIb/IIIa inhibitor use, and less need for and shorter oral P2Y12 inhibitor washout period for surgery patients. CONCLUSION: Use of cangrelor in patients with two or more angiographic HRFs may improve outcomes and lower hospital budgets, mainly from avoiding surgery delays necessitated by oral P2Y12 inhibitor pretreatment.

Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study.

BACKGROUND: Social media networks provide an abundance of diverse information that can be leveraged for data-driven applications across various social and physical sciences. One opportunity to utilize such data exists in the public health domain, where data collection is often constrained by organizational funding and limited user adoption. Furthermore, the efficacy of health interventions is often based on self-reported data, which are not always reliable. Health-promotion strategies for communities facing multiple vulnerabilities, such as men who have sex with men, can benefit from an automated system that not only determines health behavior risk but also suggests appropriate intervention targets. OBJECTIVE: This study aims to determine the value of leveraging social media messages to identify health risk behavior for men who have sex with men. METHODS: The Gay Social Networking Analysis Program was created as a preliminary framework for intelligent web-based health-promotion intervention. The program consisted of a data collection system that automatically gathered social media data, health questionnaires, and clinical results for sexually transmitted diseases and drug tests across 51 participants over 3 months. Machine learning techniques were utilized to assess the relationship between social media messages and participants' offline sexual health and substance use biological outcomes. The F1 score, a weighted average of precision and recall, was used to evaluate each algorithm. Natural language processing techniques were employed to create health behavior risk scores from participant messages. RESULTS: Offline HIV, amphetamine, and methamphetamine use were correctly identified using only social media data, with machine learning models obtaining F1 scores of 82.6%, 85.9%, and 85.3%, respectively. Additionally, constructed risk scores were found to be reasonably comparable to risk scores adapted from the Center for Disease Control. CONCLUSIONS: To our knowledge, our study is the first empirical evaluation of a social media-based public health intervention framework for men who have sex with men. We found that social media data were correlated with offline sexual health and substance use, verified through biological testing. The proof of concept and initial results validate that public health interventions can indeed use social media-based systems to successfully determine offline health risk behaviors. The findings demonstrate the promise of deploying a social media-based just-in-time adaptive intervention to target substance use and HIV risk behavior.

Mental Health and Health Risk Behaviors of Active Duty Sexual Minority and Transgender Service Members in the United States Military.

Purpose: The aim of this study was to examine health risk behaviors and mental health outcomes among sexual minority and transgender active duty military service members and their heterosexual and cisgender counterparts. Methods: Participants (N = 544) were recruited by using respondent-driven sampling between August 2017 and March 2018 and completed an online survey by using validated measures of cigarette smoking, alcohol use, anxiety, depression, post-traumatic stress disorder (PTSD), and suicidality. Bayesian random intercept multiple logistic regressions were used to understand differences between sexual minority participants and heterosexual participants as well as between transgender participants and both their cisgender sexual minority and cisgender heterosexual peers. Results: Cisgender sexual minority women service members were more likely to meet criteria for problematic alcohol use (adjusted odds ratio [aOR] = 10.11) and cigarette smoking (aOR = 7.12) than cisgender heterosexual women. Cisgender sexual minority men had greater odds of suicidality (aOR = 4.73) than their cisgender heterosexual counterparts. Transgender service members had greater odds of anxiety, PTSD, depression, and suicidality than their cisgender peers. Conclusion: Military researchers and policymakers who seek to improve the overall health and well-being of sexual minority and transgender service members should consider programs and policies that are tailored to specific health outcomes and unique sexual minority and transgender subgroups.

A Coordinated Approach by Public Domain Bioinformatics Resources to Aid the Fight Against Alzheimer's Disease Through Expert Curation of Key Protein Targets.

BACKGROUND: The analysis and interpretation of data generated from patient-derived clinical samples relies on access to high-quality bioinformatics resources. These are maintained and updated by expert curators extracting knowledge from unstructured biological data described in free-text journal articles and converting this into more structured, computationally-accessible forms. This enables analyses such as functional enrichment of sets of genes/proteins using the Gene Ontology, and makes the searching of data more productive by managing issues such as gene/protein name synonyms, identifier mapping, and data quality. OBJECTIVE: To undertake a coordinated annotation update of key public-domain resources to better support Alzheimer's disease research. METHODS: We have systematically identified target proteins critical to disease process, in part by accessing informed input from the clinical research community. RESULTS: Data from 954 papers have been added to the UniProtKB, Gene Ontology, and the International Molecular Exchange Consortium (IMEx) databases, with 299 human proteins and 279 orthologs updated in UniProtKB. 745 binary interactions were added to the IMEx human molecular interaction dataset. CONCLUSION: This represents a significant enhancement in the expert curated data pertinent to Alzheimer's disease available in a number of biomedical databases. Relevant protein entries have been updated in UniProtKB and concomitantly in the Gene Ontology. Molecular interaction networks have been significantly extended in the IMEx Consortium dataset and a set of reference protein complexes created. All the resources described are open-source and freely available to the research community and we provide examples of how these data could be exploited by researchers.

Budget Impact Analysis of Using Daunorubicin-Cytarabine Liposome in Patients with Newly Diagnosed Therapy-Related AML or AML and Myelodysplasia-Related Changes.

BACKGROUND: Current national estimates for acute myelogenous leukemia (AML) indicate this disease accounts for 1.1% of new cancer diagnoses and 1.8% of cancer deaths in the United States. The 5-year overall survival rate for patients with AML was 27.4% between 2008 and 2014. The standard induction for patients with AML includes cytarabine, infused for 7 days, with 3 once-daily injections of an anthracycline, such as daunorubicin, known as the 7+3 regimen. Daunorubicin plus cytarabine liposomal encapsulation for injection was approved in the United States in 2017 for adults with newly diagnosed therapy-related AML (tAML) or AML with myelodysplasia-related changes (AML-MRC). OBJECTIVE: To estimate the annual budget impact of introducing daunorubicin-cytarabine liposome as induction treatment for patients with tAML or AML-MRC in the United States over a 3-year period. METHODS: The model consisted of a simple decision analytic framework for a 1- to 3-year period. We used an incidence-based approach to estimate the annual number of patients newly diagnosed with tAML or AML-MRC in a hypothetical 1-million-member plan. Patients were allocated to 2 groups based on when daunorubicin-cytarabine liposome became available, with the base-case group allocated to the 7+3 regimen, and another group allocated to daunorubicin-cytarabine liposome treatment. The incidence of AML was estimated as 4.3 per 100,000 people. Efficacy measures included the proportion of complete responders, proportion of patients who had undergone transplantation, and survival at 180 and 365 days. Inpatient drug and hospitalization costs were based on diagnosis-related group rates, and outpatient drug costs on wholesale acquisition costs. RESULTS: Based on this hypothetical 1-million-member health plan, 15.1 members would receive intensive induction for newly diagnosed tAML or AML-MRC annually. Increasing the use of daunorubicin-cytarabine liposome (assumption of year 1, 20%; year 2, 50%; year 3, 80%) resulted in a 3-year incremental cumulative budget impact of $72,041 (1.7% increase for patients with tAML or AML-MRC), with a per-member per-month cost of $0.0032 at year 3. Over a 3-year period, the use of daunorubicin-cytarabine liposome would result in an estimated increase in the number of patients with a complete response to therapy by 2.72 (23.1%), which would lead to an incremental cost decrease of $179,956 per responding patient compared with the use of the 7+3 regimen in the base-case group. CONCLUSIONS: Based on these results, induction treatment with daunorubicin-cytarabine liposome for patients with tAML or AML-MRC instead of the 7+3 regimen may have a limited economic impact on the budget of commercial health plans and may result in cost offsets, particularly in patients who respond to therapy.

Risk Assessment of Hepatocellular Carcinoma in Patients with Hepatitis C in China and the USA.

BACKGROUND: Hepatitis C (HCV) infection is an increasingly common cause of hepatocellular carcinoma (HCC) in China. AIMS: We aimed to determine differences in demographic and behavioral profiles associated with HCC in HCV+ patients in China and the USA. METHODS: Consecutive HCV+ patients were recruited from centers in China and the USA. Clinical data and lifestyle profiles were obtained through standardized questionnaires. Multivariable analysis was conducted to determine factors associated with HCC diagnosis within groups. RESULTS: We included 41 HCC patients from China and 71 from the USA, and 931 non-HCC patients in China and 859 in China. Chinese patients with HCC were significantly younger, less likely to be male and to be obese than US patients with HCC (all p < 0.001). Chinese patients with HCC had a significantly lower rate of cirrhosis diagnosis (36.6 vs. 78.9%, p < 0.001); however, they also had a higher rate of hepatitis B core antibody positivity (63.4 vs. 36.8%, p = 0.007). In a multivariable analysis of the entire Chinese cohort, age > 55, male sex, the presence of diabetes, and time from maximum weight were associated with HCC, while tea consumption was associated with a decreased HCC risk (OR 0.37, 95% CI 0.16-0.88). In the US cohort, age > 55, male sex, and cirrhosis were associated with HCC on multivariable analysis. CONCLUSIONS: With the aging Chinese population and increasing rates of diabetes, there will likely be continued increase in the incidence of HCV-related HCC in China. The protective effect of tea consumption on HCC development deserves further validation.

Use of Oritavancin in Moderate-to-Severe ABSSSI Patients Requiring IV Antibiotics: A U.S. Payer Budget Impact Analysis.

BACKGROUND: It is estimated that acute bacterial skin and skin structure infections (ABSSSI) account for nearly 10% of hospital admissions and 3.4-3.8 million emergency department visits per year in the United States. Analyses of hospital discharge records indicate 74% of ABSSSI admissions involve empiric treatment with methicillin-resistant Staphylococcus aureus (MRSA) active antibiotics. Analysis has shown that payer costs could be reduced if moderate-to-severe ABSSSI patients were treated to a greater extent in the observational unit followed by discharge to outpatient parenteral antibiotic therapy (OPAT). Oritavancin is a lipoglycopeptide antibiotic with bactericidal activity against gram-positive bacteria, including MRSA. OBJECTIVE: To estimate the impact on a U.S. payer's budget of using single-dose oritavancin in ABSSSI patients with suspected MRSA involvement who are indicated for intravenous antibiotics. METHODS: A decision analytic model based on current clinical practice was developed to estimate the economic value of decreased hospital resource consumption by using single-dose oritavancin over a 1-year time horizon. Use of antibiotics was informed by an analysis of the Premier Research Database. Demographic and clinical data were derived from a targeted literature review. Emergency department, observation, laboratory, and administration costs used were Medicare National Limitation amounts. Drug costs were 2014 wholesale acquisition costs. RESULTS: For a hypothetical U.S. payer with 1,000,000 members, it is expected that approximately 14,285 members per year will be diagnosed with ABSSSI severe enough to indicate intravenous antibiotics with MRSA activity. Based on this simulation, use of single-dose oritavancin in 26% of these patients was estimated to reduce the number of inpatient admissions, reduce length of stay for patients requiring admission, and reduce the number of days a patient needs to receive daily infusions in the OPAT clinic. The total patient days decreased from 171,125 to 133,435 with a total annual budget impact of -$12,550,000 or -$1.05 per member per month (PMPM). Total inpatient and outpatient costs were reduced by $9,970,000 (19.7%) and $2,580,000 (4.2%), respectively. Inpatient cost savings were derived from a reduction in admissions, length of stay, and lower drug administration burden. Outpatient costs were reduced by lower drug administration burden in the OPAT setting. A sensitivity analysis demonstrated that the model was most sensitive to population estimates. CONCLUSIONS: Use of single-dose oritavancin in moderate-to-severe ABSSSI patients, including those with suspected MRSA, was projected to deliver an estimated cost reduction to U.S. payers of $1.05 PMPM by avoiding hospitalization in appropriate patients and reducing outpatient costs associated with multiday parenteral antibiotic therapy. DISCLOSURES: This work was funded by The Medicines Company. Jensen, Wu, and Cyr are employees of ICON Health Economics, which provides consulting services to the biopharmaceutical industry, including The Medicines Company. Fan and Sulman are employees and shareholders of The Medicines Company. Dufour and Lodise have provided consulting services to The Medicines Company. Nicolau provided model input but did not receive an honorarium for contributions on this project. Nicolau is a speaker for The Medicines Company. Study concept and design were contributed by Jensen and Wu, along with the other authors. Jensen, Wu, Fan, and Sulham collected the data, with assistance from Cyr. Data interpretation was performed by Sulham, Jensen, Wu, and Fan, assisted by Lodise, Nicolau, and Dufour. The manuscript was written by Jensen, Wu, and Sulham, with assistance from Cyr, and revised by Lodise, Nicolau, and Dufour, with assistance from the other authors.