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Objectives To estimate all-cause healthcare resource utilization and costs among chronic pain patients within an integrated healthcare delivery system in the United States. Methods Electronic medical records and health claims data from the Henry Ford Health System were used to determine healthcare resource utilization and costs for patients with 24 chronic pain conditions. Patients were identified by ≥ 2 ICD-9- CM codes ≥ 30 days apart from January to December, 2010; the first ICD-9 code was the index event. Continuous coverage for 12 months pre- and postindex was required. All-cause direct medical costs were determined from billing data. Results A total of 12,165 patients were identified for the analysis. After pharmacy, the most used resource was outpatient visits, with a mean of 18.8 ( SD 13.2) visits per patient for the postindex period; specialty visits accounted for 59.0% of outpatient visits. Imaging was utilized with a mean of 5.2 ( SD 5.5) discrete tests per patient, and opioids were the most commonly prescribed medication (38.7%). Annual direct total costs for all conditions were $386 million ($31,692 per patient; a 40% increase from the pre-index). Pharmacy costs comprised 14.3% of total costs, and outpatient visits were the primary cost driver. Conclusions Chronic pain conditions impose a substantial burden on the healthcare system, with musculoskeletal conditions associated with the highest overall costs. Costs appeared to be primarily related to use of outpatient services. This type of research supports integrated delivery systems as a source for assessing opportunities to improve patient outcomes and lower the costs for chronic pain patients. [ABSTRACT FROM AUTHOR]

Background There is a paucity of published data on the prevalence of chronic pain conditions within large, integrated healthcare organizations in the U.S.A. Such data are essential to inform the development of appropriate treatment programs. Methods Twenty-five selected pain conditions were used to identify patients receiving care within the Henry Ford Health System (HFHS) who were enrolled in the Health Alliance Plan (HAP), a subsidiary of HFHS. Patients aged ≥ 18 years, enrolled in HAP in 2010, and having ≥ 2 encounters, ≥ 30 days apart, with an ICD-9-CM diagnosis code for a pain condition of interest during 2010 were counted. Variables included in the study were as follows: age, gender, body mass index (BMI), and Charlson comorbidity conditions and index score. Results Altogether, 14,784 persons (11.6% of the total adult population) met the criteria for having a chronic pain condition. Overall, the study population was 64.4% female and had mean age (SD) of 61.2 (15.6) years and mean BMI of 31.4 (7.2) kg/m2. Musculoskeletal pain conditions were the most common diagnoses, comprising 75.4% of all pain diagnoses. Diabetes and chronic pulmonary disease were the most common medical comorbidities. Conclusions In this comprehensive analysis of 2 years of data from a large, vertically integrated metropolitan health system, chronic pain was identified in 12% of adult patients. Approximately 75% of chronic pain conditions were musculoskeletal. The triad of age ≥ 60 years, BMI ≥ 30, and female sex were the most salient demographic characteristics of patients with chronic pain conditions. These diagnostic and demographic data may be used to inform treatment program development. [ABSTRACT FROM AUTHOR]

Authors review 2 (FIB-4 and APRI) systems relying on more easily obtainable serum and cell biomarkers for liver biopsies to stage liver disease. This would be an important step in opening treatment and care of uncomplicated hepatitis C virus–infected patients.Background. Liver biopsy remains critical for staging liver disease in hepatitis C virus (HCV)–infected persons, but is a bottleneck to evaluation, follow-up, and treatment of HCV. Our analysis sought to validate APRI (aspartate aminotransferase [AST]–to-platelet ratio index) and FIB-4, an index from serum fibrosis markers (alanine aminotransferase [ALT], AST, and platelets plus patient age) to stage liver disease.Methods. Biopsy results from HCV patients in the Chronic Hepatitis Cohort Study were mapped to an F0–F4 equivalent scale; APRI and FIB-4 scores at the time of biopsy were then mapped to the same scale.Results. We identified 2372 liver biopsies from HCV-infected patients with contemporaneous laboratory values for imputing APRI and FIB-4. Fibrosis stage distributions by the equivalent biopsy scale were 267 (11%) F0; 555 (23%) F1; 648 (27%) F2; 394 (17%) F3; and 508 (21%) F4. Mean APRI and FIB-4 values significantly increased with successive fibrosis levels (P < .05). The areas under the receiver operating characteristic curve (AUROC) analysis distinguishing severe (F3–F4) from mild-to-moderate fibrosis (F0–F2) were 0.80 (95% confidence interval [CI], .78–.82) for APRI and 0.83 (95% CI, .81–.85) for FIB-4. There was a significant difference between the AUROCs of FIB-4 and APRI (P < .001); 88% of persons who had a FIB-4 score ≥2.0 were at stage F2 or higher.Conclusions. In a large observational cohort, FIB-4 was good at differentiating 5 stages of chronic HCV infection. It can be useful in screening patients who need biopsy and therapy, for monitoring patients with less advanced disease, and for longitudinal studies. [ABSTRACT FROM PUBLISHER]

As of April 2023, the COVID-19 pandemic has resulted in 1.1 million deaths in the United States, with approximately 75% of deaths occurring among adults aged ≥65 years (1). Data on the durability of protection provided by monovalent mRNA COVID-19 vaccination against critical outcomes of COVID-19 are limited beyond the Omicron BA.1 lineage period (December 26, 2021-March 26, 2022). In this case-control analysis, the effectiveness of 2-4 monovalent mRNA COVID-19 vaccine doses was evaluated against COVID-19-associated invasive mechanical ventilation (IMV) and in-hospital death among immunocompetent adults aged ≥18 years during February 1, 2022-January 31, 2023. Vaccine effectiveness (VE) against IMV and in-hospital death was 62% among adults aged ≥18 years and 69% among those aged ≥65 years. When stratified by time since last dose, VE was 76% at 7-179 days, 54% at 180-364 days, and 56% at ≥365 days. Monovalent mRNA COVID-19 vaccination provided substantial, durable protection against IMV and in-hospital death among adults during the Omicron variant period. All adults should remain up to date with recommended COVID-19 vaccination to prevent critical COVID-19-associated outcomes., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Jonathan D. Casey reports grants from the National Institutes of Health (NIH) and the U.S. Department of Defense (DoD), and a travel grant from Fisher and Paykel, outside the submitted work. Steven Y. Chang reports consulting fees from PureTech Health and Kiniksa Pharmaceuticals, and participation as a Data Safety Monitoring Board (DSMB) member for a study at UCLA, outside the submitted work. Abhijit Duggal reports grants from NIH/National Heart, Lung, and Blood Institute (NHLBI), and consulting fees from Alung Technologies, outside the submitted work. David J. Douin reports a grant from NIH/National Institute of General Medical Sciences, outside the submitted work. Matthew C. Exline reports grants from NIH and Regeneron, honoria for speaking at the American Society for Parenteral and Enteral Nutrition conference from Abbott Labs, and payment for testimony as a medical legal expert witness, outside the submitted work. D. Clark Files reports receiving a grant from NIH and participating on the Medpace DSMB, outside the submitted work. Manjusha Gaglani reports having served as co-chair of the Infectious Diseases and Immunization Committee for the Texas Pediatric Society, outside the submitted work. Kevin W. Gibbs reports grants from NIH and DoD, as well as support for travel to the 2022 Military Health System Research Symposium from DoD, outside the submitted work. Adit A. Ginde reports receiving grants from NIH, DoD, AbbVie, and Faron Pharmaceuticals, outside the submitted work. Michelle N. Gong reports grants from NHLBI, the Agency for Healthcare Research and Quality (AHRQ), speaking at medicine grand rounds at Yale and Westchester Medical College, travel support from the American Thoracic Society (ATS) and serving on the ATS board, DSMB membership fees from Regeneron and the Replenish Trial, and participating on the scientific advisory panel for Endpoint, outside the submitted work. Carlos G. Grijalva reports grants from NIH, AHRQ, the Food and Drug Administration (FDA), Campbell Alliance/Syneos Health; receipt of consulting fees from and participation on a DSMB for Merck, outside the submitted work. David N. Hager reports receiving grants from NIH, outside the submitted work. Natasha Halasa reports receiving grants from Sanofi and Quidel, outside the submitted work. Akram Khan reports receiving grants from United Therapeutics, Johnson & Johnson, 4D Medical, Eli Lily, Dompe Pharmaceuticals, and GlaxoSmithKline; and serves on the guidelines committee for Chest, outside the submitted work. Adam S. Lauring reports receiving grants from FluLab, NIH/National Institute of Allergy and Infectious Diseases, and Burroughs Wellcome Fund, and consulting fees from Sanofi and Roche for consulting on oseltamivir and baloxavir respectively, outside the submitted work. Emily T. Martin reports grants from Merck and NIH, outside the submitted work. Tresa McNeal reports receiving a one-time payment for participating as a virtual webinar panelist for Clinical Updates in Heart Failure, and being a Practice Management Committee member for Society of Hospital Medicine, outside the submitted work. Arnold S. Monto reports a grant from NIH/NIAID, support for travel from the International Society for Influenza and other Respiratory Diseases, and participation on an advisory board for FDA, outside the submitted work. Ithan D. Peltan reports grants from NIH and Janssen Pharmaceuticals and institutional support from Asahi Kasei Pharma and Regeneron, outside the submitted work. Jay S. Steingrub reports a grant from NHLBI, outside the submitted work. Jennifer G. Wilson reports grants from NHLBI, outside the submitted work. No other potential conflicts of interest were disclosed.

The most rigorous and accurate approach to evaluating clinical events in cancer screening studies is to use data obtained through medical record abstraction (MRA). Although MRA is complex, the particulars of the procedure-such as the specific training and quality assurance processes, challenges of implementation, and other factors that influence the quality of abstraction--are usually not described in reports of studies that employed the technique. In this paper, we present the details of MRA activities used in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial, which used MRA to determine primary and secondary outcomes and collect data on other clinical events. We describe triggers of the MRA cycle and the specific tasks that were part of the abstraction process. We also discuss training and certification of abstracting staff, and technical methods and communication procedures used for data quality assurance. We include discussion of challenges faced and lessons learned.

It is imperative to measure the degree of contamination throughout the course of randomized controlled trials, as contamination, the receipt of the intervention arm regimen by control arm participants, can affect trial power. In the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, contamination was estimated through use of the self-administered Health Status Questionnaire (HSQ) annually to a randomly-selected subset of control arm participants. We examined agreement of self-report of chest x-ray on the HSQ with clinic records at one of the 10 PLCO screening centers (Henry Ford Health System, or HFHS). We focus on HFHS participants covered by the Health Alliance Plan (HAP), a managed health care insurance plan owned and operated by HFHS, because claims for care received both at HFHS and other facilities are available in HFHS databases for HAP enrollees. We examined agreement for the six years prior to HSQ completion, with HFHS clinic records considered to be the gold standard. For those who had complete HAP coverage during the six years, percent agreement was 0.69, sensitivity was 0.84, and positive predictive value was 0.76. Specificity and negative predicted value were low, however (0.28 and 0.38, respectively), and Cohen's kappa was 0.13. For groups with incomplete or no HAP coverage, and when timing of exam was considered, performance measures typically became lower, in some instances below 0.20. These data suggest that self-report of chest x-ray screening may not be accurate, although high prevalence of chest x-ray may make performance measures less interpretable.