Citations

Abstract Purpose To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2023 in the United States, with a focus on the nonfederal hospital and clinic sectors. Methods Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2023 were reviewed, including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, diabetes medications, generics, COVID-19 pandemic influence, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2023 were based on a combination of quantitative analyses and expert opinion. Results In 2022, overall pharmaceutical expenditures in the US grew 9.4% compared to 2021, for a total of $633.5 billion. Utilization (a 5.9% increase), price (a 1.7% increase) and new drugs (a 1.8% increase) drove this increase. Adalimumab was the top-selling drug in 2022, followed by semaglutide and apixaban. Drug expenditures were $37.2 billion (a 5.9% decrease) and $116.9 billion (a 10.4% increase) in nonfederal hospitals and clinics, respectively. In clinics, new products and increased utilization growth drove growth, with a small impact from price changes. In nonfederal hospitals, a drop in utilization led to a decrease in expenditures, with price changes and new drugs contributing to growth in spending. Several new drugs that will influence spending have been or are expected to be approved in 2023. Specialty and cancer drugs will continue to drive expenditures along with the evolution of the COVID-19 pandemic. Conclusion For 2023, we expect overall prescription drug spending to rise by 6.0% to 8.0%, whereas in clinics and hospitals we anticipate increases of 8.0% to 10.0% and 1.0% to 3.0%, respectively, compared to 2022. These national estimates of future pharmaceutical expenditure growth may not be representative of any particular health system because of the myriad of local factors that influence actual spending.

AbstractBackgroundWe identify chronic rhinosinusitis (CRS) manifestations associated with how rhinologists assess CRS control, with a focus on patient perspectives (patient‐reported CRS control).MethodsFifteen rhinologists were provided with real‐world data from 200 CRS patients. Participating rhinologists first classified patients’ CRS control as “controlled,” “partly controlled,” and “uncontrolled” using seven CRS manifestations reflecting European Position Paper on Rhinosinusitis and Nasal Polyps (EPOS) CRS control criteria (nasal obstruction, drainage, impaired smell, facial pain/pressure, sleep disturbance, use of systemic antibiotics/corticosteroids in past 6 months, and nasal endoscopy findings) and patient‐reported CRS control. They then classified patients’ CRS control without knowledge of patient‐reported CRS control. Interrater reliability and agreement of rhinologist‐assessed CRS control with patient‐reported CRS control and EPOS guidelines were determined.ResultsCRS control classification with and without knowledge of patient‐reported CRS control was highly consistent across rhinologists (κw = 0.758). Rhinologist‐assessed CRS control agreed with patient‐reported CRS control significantly better when rhinologists had knowledge of patient‐reported CRS control (κw = 0.736 vs. κw = 0.554, p < 0.001). Patient‐reported CRS control, nasal obstruction, drainage, and endoscopy findings were most strongly associated with rhinologists’ assessment of CRS control. Rhinologists’ CRS control assessments weakly agreed with EPOS CRS control guidelines with (κw = 0.529) and without (κw = 0.538) patient‐reported CRS control. Rhinologists classified CRS as more controlled than EPOS guidelines in almost 50% of cases.ConclusionsThis study directly demonstrates the importance of patient‐reported CRS control as a dominant influence on rhinologists’ CRS control assessment. Knowledge of patient‐reported CRS control may better align rhinologists’ CRS control assessments and treatment decisions with patients’ perspectives.

ABSTRACT: Background: When adolescents present with symptoms of unexplained weight loss, underweight, or poor appetite, eating disorders (EDs) are commonly on the list of differential diagnoses. However, the relationship of these symptoms to other psychiatric disorders is often less clear. Methods: Using the Rochester Epidemiology Project database, a retrospective cohort study of adolescents (13–18 years) with billing diagnoses of weight loss, underweight, or loss of appetite was conducted between January 2005 and December 2017. Patients who presented with conditions commonly associated with weight loss, underweight, or poor appetite (e.g., cancer) were excluded. This study sought to examine the proportion of patients who received ED and psychiatric diagnoses within 5 years of the index visit and patient characteristics associated with these diagnoses. Results: Of 884 patients diagnosed with symptoms of unexplained weight loss, underweight, or poor appetite, 662 patients (M age = 15.8; SD = 1.6; 66.0% female) met study criteria. Within 5 years of the index visit, the lifetime prevalence of all psychiatric disorders was 70% (n = 461) and of EDs was 21% (n = 141). For both psychiatric disorders and EDs, sex and race were significantly associated with receiving a diagnosis within 5 years. Decrease in body mass index (BMI) percentile was associated with receiving an ED diagnosis, whereas the highest historical BMI percentile was associated with receiving a psychiatric diagnosis. Conclusion: Patients presenting with symptoms of unexplained weight loss, underweight, or poor appetite are at risk not only for EDs but also for other psychiatric disorders that may require further assessment and follow-up.

Abstract Hereditary factors play a role in the development of several cancers. Identification of germline predisposition can have implications for treatment and cancer prevention. While previous studies have found that universal multigene panel testing in patients with cancer yields increased detection of actionable heritable variants compared to targeted testing, patients belonging to racial and ethnic minority groups have been underrepresented in these studies. We undertook a prospective multi-site study of germline alternations among solid tumor cancer patients from under-represented minority (URM) populations receiving care at Mayo Clinic Comprehensive Cancer Centers between January 2020 and November 2022. Patients with a new or active cancer diagnosis (all stages) not selected for family history of cancer were tested with a &gt;80-gene next generation sequencing panel. Of 532 patients (mean [SD] age, 57.2 [12.7] years; 320 (60.2%) female), 247 (46.4%) were Hispanic/Latino, 130 (24.4%) Black/African American, 80 (15.0%) Asian, 66 (12.4%) American Indian/Alaskan Native, 2 (0.4%) Native Hawaiian/Pacific Islander, and 7 (1.3%) other. PGV were found in 43 patients (8.1%), including 29 moderate- or high- penetrance cancer susceptibility genes. Variants of uncertain significance (VUS) were found in 272 patients (51.1%). Of those with a PGV, 29 (67.4%) had incremental clinically actionable findings that would not have been detected by established testing criteria, of which 16 were moderate- or high-penetrance variants. Younger age of diagnosis, gender, race, ethnicity, and stage of disease were not predictive of PGV. In this study of under-represented minority cancer patients, universal genetic testing found that 1 in 12 patients harbor a PGV, more than two-thirds of whom would remain undetected using current guidelines. The paucity of genomic data in URM populations also results in a large proportion of VUS which may lead to under-estimation of disease associated variants. Table 1. Clinical and Demographic Characteristics of Included Patients Positive Negative VUS Total N (%) 43 217 272 532 (8.1%) (40.8%) (51.1%) Age - mean (SD) 53.7 57.0 57.8 57.2 (12.7) (12.6) (12.8) (12.7) Gender - Female 26 132 162 320 (60.5%) (60.8%) (59.6%) (60.2%) Race/Ethnicity Hispanic/Latino 24 110 113 247 (55.8%) (50.7%) (41.5%) (46.4%) Black/African 5 56 69 130 American (11.6%) (25.8%) (25.4%) (24.4%) Asian 10 (23.3%) 23 (10.6%) 47 (17.3%) 80 (15.0%) American Indian/Alaskan Native 4 (9.3%) 26 (12.0%) 36 (13.2%) 66 (12.4%) Native Hawaiian/Pacific Islander 0 (0.0%) 0 (0.0%) 2 (0.7%) 2 (0.4%) Other 0 (0.0%) 2 (0.9%) 5 (1.8%) 7 (1.3%) Tumor Types Breast 19 (44.2%) 80 (36.9%) 110 (40.4%) 209 (39.3%) CNS 1 (2.3%) 2 (0.9%) 1 (0.4%) 4 (0.8%) GI 7 (16.3%) 46 (21.2%) 58 (21.3%) 111 (20.9%) GU 8 (18.6%) 57 (26.3%) 62 (22.8%) 127 (23.9%) GYN 0 (0.0%) 8 (3.7%) 10 (3.7%) 18 (3.4%) Head/Neck 5 (11.6%) 8 (3.7%) 6 (2.2%) 19 (3.6%) Lung 0 (0.0%) 6 (2.8%) 11 (4.0%) 17 (3.2%) Melanoma 0 (0.0%) 2 (0.9%) 1 (0.4%) 3 (0.6%) Sarcoma 2 (4.7%) 4 (1.8%) 4 (1.5%) 10 (1.9%) Other 1 (2.3%) 4 (1.8%) 9 (3.3%) 14 (2.6%) Citation Format: Kevork A. Khadarian, Sailaja Pisipati, Jeremy C. Jones, Gerardo Colon-Otero, Donald W. Northfelt, Lindsey Gary, Idara U. Ekpoh, Giovanna G. Moreno, Edward D. Esplin, Robert Nussbaum, Brandie Heald, Margaret A. Klint, Kathleen A. Barrus, Tanios S. Bekaii-Saab, Aleksandar Sekulic, Michael A. Golafshar, Katie L. Kunze, Cheryl L. Willman, Konstantinos N. Lazaridis, Niloy Jewel Samadder. Universal genetic testing for hereditary cancer syndromes in an under-represented minority population [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1921.

Abstract Artificial intelligence (AI) based digital pathology has been getting rapid adoption over the last 2 to 3 years These AI based digital pathology models can analyze samples at high resolution and scale Retaining that resolution at scale through molecular analysis is key to the discovery of novel biomarkers We have developed a technology that can integrate AI-supported digital pathology (DP) algorithms to identify informative tissue regions for selective microdissection to improve molecular analysis of FFPE material The system is capable of extracting DNA, RNA or proteins with cellular (10 micron) resolution from FFPE tissue sections. The samples are ready for use in off-the-shelf molecular analysis workflows (qPCR, Next Gen Sequencing, etc) The system decreases the tumor cellularity requirements for clinical analysis by extracting only the area enriched for informative biomarkers To demonstrate the capability of the system we used an AI based digital pathology model that was developed to identify multiple cellular phenotypes from a H&E stained colorectal cancer FFPE tissue sections We used the digital pathology output to guide the microdissection of RNA from tumor buds, carcinoma, immature stroma and inflammatory stroma in a paired designed RNA seq experiment The data showed that the system is capable of enriching the tumor-bud tissue content from&lt;1% in the tissue to ~50% purity in the crude lysate Bioinformatic analysis of the RNAseq signatures showed that the tumor buds had a distinct RNAseq signature relative to the other three cell types and that the gene expression pattern was consistent with EMT pathways. The methodology is scalable, robust, and simpler than current microdissection techniques. This technology can be used to develop novel tests by integrating with AI algorithms, targeting tissue enriched for predictive biomarkers, and enabling low tumor cellularity samples to be analyzed with high precision. Citation Format: John H. Butler, Bidhan Chaudhuri, Katie Konigsfeld, Rish Pai. A novel digitally directed tissue microdissection platform integrates digital pathology with molecular analysis: Case study in metastatic colorectal cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4320.

AbstractReject rate analysis is considered an integral part of a diagnostic radiography quality control (QC) program. A rejected image is a patient radiograph that was not presented to a radiologist for diagnosis and that contributes unnecessary radiation dose to the patient. Reject rates that are either too high or too low may suggest systemic department shortcomings in QC mechanisms. Due to the lack of standardization, reject data often cannot be easily compared between radiography systems from different vendors. The purpose of this report is to provide guidance to help standardize data elements that are required for comprehensive reject analysis and to propose data reporting and workflows to enable an effective and comprehensive reject rate monitoring program. Essential data elements, a proposed schema for classifying reject reasons, and workflow implementation options are recommended in this task group report.

Abstract Background No human rabies post-exposure prophylaxis (PEP) failure has been documented in the United States using modern cell culture–based vaccines. In January 2021, an 84-year-old male died from rabies 6 months after being bitten by a rabid bat despite receiving timely rabies PEP. We investigated the cause of breakthrough infection. Methods We reviewed medical records, laboratory results, and autopsy findings and performed whole-genome sequencing (WGS) to compare patient and bat virus sequences. Storage, administration, and integrity of PEP biologics administered to the patient were assessed; samples from leftover rabies immunoglobulin were evaluated for potency. We conducted risk assessments for persons potentially exposed to the bat and for close patient contacts. Results Rabies virus antibodies present in serum and cerebrospinal fluid were nonneutralizing. Antemortem blood testing revealed that the patient had unrecognized monoclonal gammopathy of unknown significance. Autopsy findings showed rabies meningoencephalitis and metastatic prostatic adenocarcinoma. Rabies virus sequences from the patient and the offending bat were identical by WGS. No deviations were identified in potency, quality control, administration, or storage of administered PEP. Of 332 persons assessed for potential rabies exposure to the case patient, 3 (0.9%) warranted PEP. Conclusions This is the first reported failure of rabies PEP in the Western Hemisphere using a cell culture–based vaccine. Host-mediated primary vaccine failure attributed to previously unrecognized impaired immunity is the most likely explanation for this breakthrough infection. Clinicians should consider measuring rabies neutralizing antibody titers after completion of PEP if there is any suspicion for immunocompromise.

Abstract Identifying the genetic architecture of complex traits is important to many geneticists, including those interested in human disease, plant and animal breeding, and evolutionary genetics. Advances in sequencing technology and statistical methods for genome-wide association studies have allowed for the identification of more variants with smaller effect sizes, however, many of these identified polymorphisms fail to be replicated in subsequent studies. In addition to sampling variation, this failure to replicate reflects the complexities introduced by factors including environmental variation, genetic background, and differences in allele frequencies among populations. Using Drosophila melanogaster wing shape, we ask if we can replicate allelic effects of polymorphisms first identified in a genome-wide association studies in three genes: dachsous, extra-macrochaete, and neuralized, using artificial selection in the lab, and bulk segregant mapping in natural populations. We demonstrate that multivariate wing shape changes associated with these genes are aligned with major axes of phenotypic and genetic variation in natural populations. Following seven generations of artificial selection along the dachsous shape change vector, we observe genetic differentiation of variants in dachsous and genomic regions containing other genes in the hippo signaling pathway. This suggests a shared direction of effects within a developmental network. We also performed artificial selection with the extra-macrochaete shape change vector, which is not a part of the hippo signaling network, but showed a largely shared direction of effects. The response to selection along the emc vector was similar to that of dachsous, suggesting that the available genetic diversity of a population, summarized by the genetic (co)variance matrix (G), influenced alleles captured by selection. Despite the success with artificial selection, bulk segregant analysis using natural populations did not detect these same variants, likely due to the contribution of environmental variation and low minor allele frequencies, coupled with small effect sizes of the contributing variants.