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Dive into the research topics where Richard Forshee is active.

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Featured researches published by Richard Forshee.


Lancet Infectious Diseases | 2015

Comparative effectiveness of high-dose versus standard-dose influenza vaccines in US residents aged 65 years and older from 2012 to 2013 using Medicare data: a retrospective cohort analysis

Hector S. Izurieta; Nicole Thadani; David K. Shay; Yun Lu; Aaron Maurer; Ivo M. Foppa; Riley L. Franks; Douglas Pratt; Richard Forshee; Thomas MaCurdy; Chris Worrall; Andrew E Howery; Jeff rey Kelman

BACKGROUND A high-dose trivalent inactivated influenza vaccine was licensed in 2009 by the US Food and Drug Administration (FDA) on the basis of serological criteria. We sought to establish whether high-dose inactivated influenza vaccine was more effective for prevention of influenza-related visits and hospital admissions in US Medicare beneficiaries than was standard-dose inactivated influenza vaccine. METHODS In this retrospective cohort study, we identified Medicare beneficiaries aged 65 years and older who received high-dose or standard-dose inactivated influenza vaccines from community pharmacies that offered both vaccines during the 2012-13 influenza season. Outcomes were defined with billing codes on Medicare claims. The primary outcome was probable influenza infection, defined by receipt of a rapid influenza test followed by dispensing of the neuraminidase inhibitor oseltamivir. The secondary outcome was a hospital or emergency department visit, listing a Medicare billing code for influenza. We estimated relative vaccine effectiveness by comparing outcome rates in Medicare beneficiaries during periods of high influenza circulation. Univariate and multivariate Poisson regression models were used for analyses. FINDINGS Between Aug 1, 2012 and Jan 31, 2013, we studied 929,730 recipients of high-dose vaccine and 1,615,545 recipients of standard-dose vaccine. Participants enrolled in each cohort were well balanced with respect to age and presence of underlying medical disorders. The high-dose vaccine (1·30 outcomes per 10,000 person-weeks) was 22% (95% CI 15-29) more effective than the standard-dose vaccine (1·01 outcomes per 10,000 person-weeks) for prevention of probable influenza infections (rapid influenza test followed by oseltamivir treatment) and 22% (95% CI 16-27%) more effective for prevention of influenza hospital admissions (0·86 outcomes per 10,000 person-weeks in the high-dose cohort vs 1·10 outcomes per 10,000 person-weeks in the standard-dose cohort). INTERPRETATION Our retrospective cohort study in US Medicare beneficiaries shows that, in people 65 years of age and older, high-dose inactivated influenza vaccine was significantly more effective than standard-dose vaccine in prevention of influenza-related medical encounters. Additionally, the large population in our study enabled us to show, for the first time, a significant reduction in influenza-related hospital admissions in high-dose compared to standard-dose vaccine recipients, an outcome not shown in randomised studies. These results provide important new information to be considered by policy makers recommending influenza vaccinations for elderly people. FUNDING FDA and the office of the Assistant Secretary of Planning and Evaluation.


Vaccine | 2011

Updated aluminum pharmacokinetics following infant exposures through diet and vaccination

Robert J. Mitkus; David B. King; Maureen A. Hess; Richard Forshee; Mark Walderhaug

Aluminum is a ubiquitous element that is released naturally into the environment via volcanic activity and the breakdown of rocks on the earths surface. Exposure of the general population to aluminum occurs primarily through the consumption of food, antacids, and buffered analgesics. Exposure to aluminum in the general population can also occur through vaccination, since vaccines often contain aluminum salts (frequently aluminum hydroxide or aluminum phosphate) as adjuvants. Because concerns have been expressed by the public that aluminum in vaccines may pose a risk to infants, we developed an up-to-date analysis of the safety of aluminum adjuvants. Keith et al. [1] previously analyzed the pharmacokinetics of aluminum for infant dietary and vaccine exposures and compared the resulting body burdens to those based on the minimal risk levels (MRLs) established by the Agency for Toxic Substances and Disease Registry. We updated the analysis of Keith et al. [1] with a current pediatric vaccination schedule [2]; baseline aluminum levels at birth; an aluminum retention function that reflects changing glomerular filtration rates in infants; an adjustment for the kinetics of aluminum efflux at the site of injection; contemporaneous MRLs; and the most recent infant body weight data for children 0-60 months of age [3]. Using these updated parameters we found that the body burden of aluminum from vaccines and diet throughout an infants first year of life is significantly less than the corresponding safe body burden of aluminum modeled using the regulatory MRL. We conclude that episodic exposures to vaccines that contain aluminum adjuvant continue to be extremely low risk to infants and that the benefits of using vaccines containing aluminum adjuvant outweigh any theoretical concerns.


The Journal of Infectious Diseases | 2017

Comparative Effectiveness of High-Dose Versus Standard-Dose Influenza Vaccines Among US Medicare Beneficiaries in Preventing Postinfluenza Deaths During 2012-2013 and 2013-2014.

David K. Shay; Yoganand Chillarige; Jeffrey A. Kelman; Richard Forshee; Ivo M. Foppa; Michael Wernecke; Yun Lu; Jill M. Ferdinands; Arjun Iyengar; Alicia M. Fry; Chris Worrall; Hector S. Izurieta

Background Recipients of high-dose vs standard-dose influenza vaccines have fewer influenza illnesses. We evaluated the comparative effectiveness of high-dose vaccine in preventing postinfluenza deaths during 2012-2013 and 2013-2014, when influenza viruses and vaccines were similar. Methods We identified Medicare beneficiaries aged ≥65 years who received high-dose or standard-dose vaccines in community-located pharmacies offering both vaccines. The primary outcome was death in the 30 days following an inpatient or emergency department encounter listing an influenza International of Classification of Diseases, Ninth Revision, Clinical Modification code. Effectiveness was estimated by using multivariate Poisson regression models; effectiveness was allowed to vary by season. Results We studied 1039645 recipients of high-dose and 1683264 recipients of standard-dose vaccines during 2012-2013, and 1508176 high-dose and 1877327 standard-dose recipients during 2013-2014. Vaccinees were well-balanced for medical conditions and indicators of frail health. Rates of postinfluenza death were 0.028 and 0.038/10000 person-weeks in high-dose and standard-dose recipients, respectively. Comparative effectiveness was 24.0% (95% confidence interval [CI], .6%-42%); there was evidence of variation by season (P = .12). In 2012-2013, high-dose was 36.4% (95% CI, 9.0%-56%) more effective in reducing mortality; in 2013-2014, it was 2.5% (95% CI, -47% to 35%). Conclusions High-dose vaccine was significantly more effective in preventing postinfluenza deaths in 2012-2013, when A(H3N2) circulation was common, but not in 2013-2014.


Clinical Infectious Diseases | 2017

Effectiveness and Duration of Protection Provided by the Live-attenuated Herpes Zoster Vaccine in the Medicare Population Ages 65 Years and Older

Hector S. Izurieta; Michael Wernecke; Jeffrey A. Kelman; Sarah Wong; Richard Forshee; Douglas Pratt; Yun Lu; Qin Sun; Christopher Jankosky; Philip R. Krause; Chris Worrall; Tom MaCurdy; Rafael Harpaz

Background Tens of millions of seniors are at risk of herpes zoster (HZ) and its complications. Live attenuated herpes zoster vaccine (HZV) reduces that risk, although questions regarding effectiveness and durability of protection in routine clinical practice remain. We used Medicare data to investigate HZV effectiveness (VE) and its durability. Methods This retrospective cohort study included beneficiaries ages ≥65 years during January 2007 through July 2014. Multiple adjustments to account for potential bias were made. HZV-vaccinated beneficiaries were matched to unvaccinated beneficiaries (primary analysis) and to HZV-unvaccinated beneficiaries who had received pneumococcal vaccination (secondary analysis). HZ outcomes in community and hospital settings were analyzed, including ophthalmic zoster (OZ) and postherpetic neuralgia (PHN). Results Among eligible beneficiaries (average age 77 years), the primary analysis found VE for community HZ of 33% (95% CI: 32%-35%) and 19% (95% CI: 17%-22%), for the first 3, and subsequent 4+ years postvaccination, respectively. In the secondary analysis, VE was, respectively, 37% (95% CI: 36%-39%) and 22% (95% CI: 20%-25%). In the primary analysis, VE for PHN was 57% (95% CI: 52%-61%) and 45% (95% CI: 36%-53%) in the first 3 and subsequent 4+ years, respectively; VE for hospitalized HZ was, respectively, 74% (95% CI: 67%-79%) and 55% (95% CI: 39%-67%). Differences in VE by age group were not significant. Conclusions In both the primary and secondary analyses, HZV provided protection against HZ across all ages, but effectiveness declined over time. VE was higher and better preserved over time for PHN and HZ-associated hospitalizations than for community HZ.


Statistics in Medicine | 2015

Seeing is believing: good graphic design principles for medical research.

Susan P. Duke; Fabrice Bancken; Brenda J. Crowe; Mat Soukup; Taxiarchis Botsis; Richard Forshee

Have you noticed when you browse a book, journal, study report, or product label how your eye is drawn to figures more than to words and tables? Statistical graphs are powerful ways to transparently and succinctly communicate the key points of medical research. Furthermore, the graphic design itself adds to the clarity of the messages in the data. The goal of this paper is to provide a mechanism for selecting the appropriate graph to thoughtfully construct quality deliverables using good graphic design principles. Examples are motivated by the efforts of a Safety Graphics Working Group that consisted of scientists from the pharmaceutical industry, Food and Drug Administration, and academic institutions.


Transfusion | 2014

Immune globulins and same-day thrombotic events as recorded in a large health care database during 2008 to 2012.

Gayathri Sridhar; Bola F. Ekezue; Hector S. Izurieta; Nandini Selvam; Mikhail V. Ovanesov; Hozefa A. Divan; Yideng Liang; Basil Golding; Richard Forshee; Steven A. Anderson; Mikhail Menis

Thrombotic events (TEs) are rare and serious adverse events after administration of immune globulin (IG) products. Our study evaluated the occurrence of same‐day TEs for different IG products and ascertained potential risk factors.


Journal of Thrombosis and Haemostasis | 2015

Clotting factor product administration and same‐day occurrence of thrombotic events, as recorded in a large healthcare database during 2008–2013

B. F. Ekezue; G. Sridhar; Mikhail V. Ovanesov; Richard Forshee; Hector S. Izurieta; N. Selvam; L. A. Parunov; N. Jain; Paul D. Mintz; J. S. Epstein; Steven A. Anderson; Mikhail Menis

Thrombotic events (TEs) are serious adverse events that can occur following administration of clotting factors (CFs).


Transfusion | 2014

A stock-and-flow simulation model of the US blood supply

Arianna Simonetti; Richard Forshee; Steven A. Anderson; Mark Walderhaug

Lack of reporting requirements for the amount of blood stored in blood banks and hospitals poses challenges to effectively monitor the US blood supply. Effective strategies to minimize collection and donation disruptions in the supply require an understanding of the daily amount of blood available in the system.


BMC Immunology | 2014

In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases.

Peter B. McGarvey; Baris E. Suzek; James N. Baraniuk; Shruti Rao; Brian Conkright; Samir Lababidi; Andrea Sutherland; Richard Forshee; Subha Madhavan

BackgroundNear universal administration of vaccines mandates intense pharmacovigilance for vaccine safety and a stringently low tolerance for adverse events. Reports of autoimmune diseases (AID) following vaccination have been challenging to evaluate given the high rates of vaccination, background incidence of autoimmunity, and low incidence and variable times for onset of AID after vaccinations. In order to identify biologically plausible pathways to adverse autoimmune events of vaccine-related AID, we used a systems biology approach to create a matrix of innate and adaptive immune mechanisms active in specific diseases, responses to vaccine antigens, adjuvants, preservatives and stabilizers, for the most common vaccine-associated AID found in the Vaccine Adverse Event Reporting System.ResultsThis report focuses on Guillain-Barre Syndrome (GBS), Rheumatoid Arthritis (RA), Systemic Lupus Erythematosus (SLE), and Idiopathic (or immune) Thrombocytopenic Purpura (ITP). Multiple curated databases and automated text mining of PubMed literature identified 667 genes associated with RA, 448 with SLE, 49 with ITP and 73 with GBS. While all data sources provided valuable and unique gene associations, text mining using natural language processing (NLP) algorithms provided the most information but required curation to remove incorrect associations. Six genes were associated with all four AIDs. Thirty-three pathways were shared by the four AIDs. Classification of genes into twelve immune system related categories identified more “Th17 T-cell subtype” genes in RA than the other AIDs, and more “Chemokine plus Receptors” genes associated with RA than SLE. Gene networks were visualized and clustered into interconnected modules with specific gene clusters for each AID, including one in RA with ten C-X-C motif chemokines. The intersection of genes associated with GBS, GBS peptide auto-antigens, influenza A infection, and influenza vaccination created a subnetwork of genes that inferred a possible role for the MAPK signaling pathway in influenza vaccine related GBS.ConclusionsResults showing unique and common gene sets, pathways, immune system categories and functional clusters of genes in four autoimmune diseases suggest it is possible to develop molecular classifications of autoimmune and inflammatory events. Combining this information with cellular and other disease responses should greatly aid in the assessment of potential immune-mediated adverse events following vaccination.


Journal of Biomedical Informatics | 2017

Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review

Kory Kreimeyer; Matthew Foster; Abhishek Pandey; Nina Arya; Gwendolyn Halford; Sandra F. Jones; Richard Forshee; Mark Walderhaug; Taxiarchis Botsis

We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. Seven literature databases were searched with a query combining the concepts of natural language processing and structured data capture. Two reviewers screened all records for relevance during two screening phases, and information about clinical NLP systems was collected from the final set of papers. A total of 7149 records (after removing duplicates) were retrieved and screened, and 86 were determined to fit the review criteria. These papers contained information about 71 different clinical NLP systems, which were then analyzed. The NLP systems address a wide variety of important clinical and research tasks. Certain tasks are well addressed by the existing systems, while others remain as open challenges that only a small number of systems attempt, such as extraction of temporal information or normalization of concepts to standard terminologies. This review has identified many NLP systems capable of processing clinical free text and generating structured output, and the information collected and evaluated here will be important for prioritizing development of new approaches for clinical NLP.

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Hector S. Izurieta

Center for Biologics Evaluation and Research

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Steven A. Anderson

Center for Biologics Evaluation and Research

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Jeffrey A. Kelman

Centers for Medicare and Medicaid Services

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Yun Lu

Center for Biologics Evaluation and Research

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David K. Shay

Centers for Disease Control and Prevention

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Mark Walderhaug

Center for Biologics Evaluation and Research

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Mikhail Menis

Center for Biologics Evaluation and Research

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Taxiarchis Botsis

Center for Biologics Evaluation and Research

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Chris Worrall

Centers for Medicare and Medicaid Services

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