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Pharmacol Res Perspect ; 10(2): e00926, 2022 04.
Article in English | MEDLINE | ID: covidwho-1694654

ABSTRACT

The chronic neurological aspects of traumatic brain injury, post-stroke syndromes, long COVID-19, persistent Lyme disease, and influenza encephalopathy having close pathophysiological parallels that warrant being investigated in an integrated manner. A mechanism, common to all, for this persistence of the range of symptoms common to these conditions is described. While TNF maintains cerebral homeostasis, its excessive production through either pathogen-associated molecular patterns or damage-associated molecular patterns activity associates with the persistence of the symptoms common across both infectious and non-infectious conditions. The case is made that this shared chronicity arises from a positive feedback loop causing the persistence of the activation of microglia by the TNF that these cells generate. Lowering this excess TNF is the logical way to reducing this persistent, TNF-maintained, microglial activation. While too large to negotiate the blood-brain barrier effectively, the specific anti-TNF biological, etanercept, shows promise when administered by the perispinal route, which allows it to bypass this obstruction.


Subject(s)
COVID-19/complications , Etanercept/therapeutic use , Stroke/complications , COVID-19/metabolism , COVID-19/pathology , Etanercept/administration & dosage , Humans , Injections, Spinal , Microglia/metabolism , Microglia/pathology , Stroke/metabolism , Syndrome , Tumor Necrosis Factor-alpha/metabolism , Post-Acute COVID-19 Syndrome
2.
J Manag Care Spec Pharm ; 26(2): 211-220, 2020 Feb.
Article in English | MEDLINE | ID: covidwho-914880

ABSTRACT

BACKGROUND: Rheumatoid arthritis (RA) is a chronic disease that requires long-term treatment to improve or maintain stable disease activity. Tumor necrosis factor inhibitors (TNFi), a class of biologic disease-modifying antirheumatic drugs (bDMARD), are effective at treating symptoms and inhibiting joint progression. Although treatment changes are not recommended in patients with stable disease, health plans have recently enacted formulary changes with higher copayments that could disrupt patient access to TNFis. OBJECTIVE: To assess the association of formulary copayment changes with real-world treatment patterns, treatment effectiveness, and health care costs among bDMARD-naive patients with RA receiving the TNFi etanercept. METHODS: This retrospective observational cohort analysis used the IBM Watson Health MarketScan Commercial Claims and Encounters Database. Adult patients with RA with 6 months of stable etanercept use (no refill gap ≥ 45 days) from January 1, 2013, through December 31, 2015, were selected and the index date was set to the first fill date after the stable-use period. Average etanercept copayment was calculated at the drug-plan level. Copayment change was defined as a monthly increase of at least $40 to account for copayment changes attributable to etanercept wholesale acquisition costs between 2014 and 2015. This amount also corresponded to the 90th percentile of average plan-level changes in etanercept copayments in the database, representing an average change in copayment by a payer. Patients were followed ≥ 12 months before and after the index date to track etanercept treatment changes and ≥ 12 months after a treatment change to track costs after etanercept copayment changes. Etanercept persistence, bDMARD switching, refill gaps, and treatment effectiveness (using a validated effectiveness algorithm) were described for patients with or without copayment change during the 12 months post-index or postchange. We also assessed the mean total of all-cause and RA-related expenditure during the 12-month post-index (or postchange) period. RESULTS: 1,970 stable patients met study inclusion criteria (mean [standard deviation] age: 50.3 [9.5] years; 77.8% female) and were evaluated. Of these, 133 (6.8%) patients had a copayment change ≥$40 during follow-up. Overall, most patients (60.3%) persisted on etanercept for the 12-month follow-up period, while 13.0% switched from etanercept, and 8.1% discontinued (refill gap of ≥ 45 days). Nearly half (48.0%) of all patients were considered effectively treated according to a validated algorithm. Compared with patients without a copayment change, those with a copayment change were more likely to switch biologics (19.5% vs. 12.6%; P = 0.021). Although statistical significance was not reached, patients with a copayment change were less likely to be persistent (54.1% vs. 60.7%; P = 0.135), and less likely to be effectively treated (42.1% vs. 48.4%; P = 0.161) than patients without a copayment change. All-cause and RA-related expenditures at baseline and post-copayment change were similar between patients with and without a copayment change. CONCLUSIONS: Changing formulary copayment of etanercept was associated with higher switching without difference in costs or health care utilization between copayment and no copayment change groups. DISCLOSURES: This study was sponsored by Amgen. Bonafede, Manjelievskaia, and Lopez-Gonzalez are employees of IBM Watson Health, which received funding from Amgen to conduct this study. Oko-osi, Collier, and Stolshek are employees and shareholders of Amgen. Gharaibeh was an employee of Amgen at the time of study execution and manuscript drafting. The authors have no other relationships that present a potential conflict of interest. Data pertaining to this study were presented in a poster at the 2018 ACR/ARHP Annual Meeting; October 19-24, 2018; Chicago, IL.


Subject(s)
Antirheumatic Agents/administration & dosage , Arthritis, Rheumatoid/drug therapy , Deductibles and Coinsurance/economics , Etanercept/administration & dosage , Adolescent , Adult , Antirheumatic Agents/economics , Arthritis, Rheumatoid/economics , Cohort Studies , Coronavirus Infections/drug therapy , Etanercept/economics , Female , Formularies as Topic , Health Care Costs , Humans , Male , Middle Aged , Retrospective Studies , Tumor Necrosis Factor Inhibitors/administration & dosage , Tumor Necrosis Factor Inhibitors/economics , Young Adult , COVID-19 Drug Treatment
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