Phylogenetic and functional marker genes to study ammonia-oxidizing microorganisms (AOM) in the environment

The oxidation of ammonia plays a significant role in the transformation of fixed nitrogen in the global nitrogen cycle. Autotrophic ammonia oxidation is known in three groups of microorganisms. Aerobic ammonia-oxidizing bacteria and archaea convert ammonia into nitrite during nitrification. Anaerobic ammonia-oxidizing bacteria (anammox) oxidize ammonia using nitrite as electron acceptor and producing atmospheric dinitrogen. The isolation and cultivation of all three groups in the laboratory are quite problematic due to their slow growth rates, poor growth yields, unpredictable lag phases, and sensitivity to certain organic compounds. Culture-independent approaches have contributed importantly to our understanding of the diversity and distribution of these microorganisms in the environment. In this review, we present an overview of approaches that have been used for the molecular study of ammonia oxidizers and discuss their application in different environments

Cost of tumor necrosis factor blockers per patient with rheumatoid arthritis in a multistate Medicaid population

Machaon Bonafede,1 George J Joseph,2 Neel Shah,2 Nicole Princic,1 David J Harrison2 1Truven Health Analytics, Cambridge, MA, 2Amgen Inc., Thousand Oaks, CA, USA Background: The purpose of this study was to estimate the annual cost per treated patient for the tumor necrosis factor (TNF) blockers, etanercept, adalimumab, and infliximab in rheumatoid arthritis (RA) patients covered by Medicaid. Methods: The MarketScan Medicaid Multistate Database was used to identify adult RA patients who used etanercept, adalimumab, or infliximab (index agents) from 2007 to 2011. The index date was the first claim preceded by 180 days and followed by 360 days of continuous enrollment. Patients with other conditions for which these agents are approved by the US Food and Drug Administration were excluded. “Continuing” patients had one or more pre-index claim for their index biologic, and "new" patients did not. Cost per treated patient was calculated in the 360 day post-index period for each index agent as the total index drug and administration cost to the payer and the costs of switched-to agents divided by the number of patients who received the index agent. Results: A total of 1,085 patients met the study criteria. Forty-eight percent received etanercept (n=521); 37% received adalimumab (n=405); and 15% received infliximab (n=159). Patient characteristics were similar across groups (mean age 47.4 years, 83% female). The annual cost per treated patient was lowest for etanercept ($18,466), followed by adalimumab ($20,983) and infliximab ($26,516). For all agents, annual costs were lower for new patients ($17,996 for etanercept, $18,992 for adalimumab, and$24,756 for infliximab) than for continuing patients ($19,004 for etanercept,$24,438 for adalimumab, and $28,127 for infliximab). Conclusion: Etanercept had lower costs per treated patient than adalimumab or infliximab in both new and continuing Medicaid enrollees with RA. Keywords: cost, tumor necrosis factor, rheumatoid arthritis, Medicai

Development of a novel algorithm to determine adherence to chronic pain treatment guidelines using administrative claims

Jay M Margolis,1 Nicole Princic,2 David M Smith,2 Lucy Abraham,3 Joseph C Cappelleri,4 Sonali N Shah,5 Peter W Park5 1Truven Health Analytics, Bethesda, MD, 2Truven Health Analytics, Cambridge, MA, USA; 3Pfizer Ltd, Tadworth, UK; 4Pfizer Inc, Groton, CT, 5Pfizer Inc, New York, NY, USA Objective: To develop a claims-based algorithm for identifying patients who are adherent versus nonadherent to published guidelines for chronic pain management. Methods: Using medical and pharmacy health care claims from the MarketScan® Commercial and Medicare Supplemental Databases, patients were selected during July 1, 2010, to June 30, 2012, with the following chronic pain conditions: osteoarthritis (OA), gout (GT), painful diabetic peripheral neuropathy (pDPN), post-herpetic neuralgia (PHN), and fibromyalgia (FM). Patients newly diagnosed with 12 months of continuous medical and pharmacy benefits both before and after initial diagnosis (index date) were categorized as adherent, nonadherent, or unsure according to the guidelines-based algorithm using disease-specific pain medication classes grouped as first-line, later-line, or not recommended. Descriptive and multivariate analyses compared patient outcomes with algorithm-derived categorization endpoints. Results: A total of 441,465 OA patients, 76,361 GT patients, 10,645 pDPN, 4,010 PHN patients, and 150,321 FM patients were included in the development of the algorithm. Patients found adherent to guidelines included 51.1% for OA, 25% for GT, 59.5% for pDPN, 54.9% for PHN, and 33.5% for FM. The majority (~90%) of patients adherent to the guidelines initiated therapy with prescriptions for first-line pain medications written for a minimum of 30 days. Patients found nonadherent to guidelines included 30.7% for OA, 6.8% for GT, 34.9% for pDPN, 23.1% for PHN, and 34.7% for FM. Conclusion: This novel algorithm used real-world pharmacotherapy treatment patterns to evaluate adherence to pain management guidelines in five chronic pain conditions. Findings suggest that one-third to one-half of patients are managed according to guidelines. This method may have valuable applications for health care payers and providers analyzing treatment guideline adherence. Keywords: chronic pain, drug therapy, practice guidelines, adherence, algorith