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Dive into the research topics where Alexis Ogdie is active.

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Featured researches published by Alexis Ogdie.


Arthritis & Rheumatism | 2016

Group for Research and Assessment of Psoriasis and Psoriatic Arthritis 2015 Treatment Recommendations for Psoriatic Arthritis.

Laura C. Coates; Arthur Kavanaugh; Philip J. Mease; Enrique R. Soriano; Maria Laura Acosta-Felquer; April W. Armstrong; Wilson Bautista-Molano; Wolf-Henning Boehncke; Willemina Campbell; Alberto Cauli; Luis R. Espinoza; Oliver FitzGerald; Dafna D. Gladman; Alice B. Gottlieb; Philip S. Helliwell; M. Elaine Husni; Thorvardur Jon Love; Ennio Lubrano; Neil McHugh; Peter Nash; Alexis Ogdie; Ana Maria Orbai; Andrew Parkinson; Denis O'Sullivan; Cheryl F. Rosen; Sergio Schwartzman; Evan L. Siegel; Sergio Toloza; William Tuong; Christopher T. Ritchlin

To update the 2009 Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) treatment recommendations for the spectrum of manifestations affecting patients with psoriatic arthritis (PsA).


JAMA Dermatology | 2013

Psoriasis Severity and the Prevalence of Major Medical Comorbidity: A Population-Based Study

Howa Yeung; Junko Takeshita; Nehal N. Mehta; Stephen E. Kimmel; Alexis Ogdie; David J. Margolis; Daniel B. Shin; Rosemary Attor; Andrea B. Troxel; Joel M. Gelfand

IMPORTANCE Despite the growing literature on comorbidity risks in psoriasis, there remains a critical knowledge gap on the degree to which objectively measured psoriasis severity may affect the prevalence of major medical comorbidity. OBJECTIVE To examine the prevalence of major medical comorbidity in patients with mild, moderate, or severe psoriasis, classified objectively based on body surface area involvement, compared with that in patients without psoriasis. DESIGN, SETTING, AND PARTICIPANTS Population-based cross-sectional study of patient data from United Kingdom-based electronic medical records; analysis included 9035 patients aged 25 to 64 years with psoriasis and 90,350 age- and practice-matched patients without psoriasis. MAIN OUTCOMES AND MEASURES Prevalence of major medical comorbidity included in the Charlson comorbidity index. RESULTS Among patients with psoriasis, 51.8%, 35.8%, and 12.4%, respectively, had mild, moderate, or severe disease based on body surface area criteria. The mean Charlson comorbidity index was increasingly higher in patients with mild (0.375 vs 0.347), moderate (0.398 vs 0.342), or severe psoriasis (0.450 vs 0.348) (each P < .05). Psoriasis overall was associated with higher prevalence of chronic pulmonary disease (adjusted odds ratio, 1.08; 95% CI, 1.02-1.15), diabetes mellitus (1.22; 1.11-1.35), diabetes with systemic complications (1.34; 1.11-1.62), mild liver disease (1.41; 1.12-1.76), myocardial infarction (1.34; 1.07-1.69), peptic ulcer disease (1.27; 1.03-1.58), peripheral vascular disease (1.38; 1.07-1.77), renal disease (1.28; 1.11-1.48), and rheumatologic disease (2.04; 1.71-2.42). Trend analysis revealed significant associations between psoriasis severity and each of the above comorbid diseases (each P < .05). CONCLUSIONS AND RELEVANCE The burdens of overall medical comorbidity and of specific comorbid diseases increase with increasing disease severity among patients with psoriasis. Physicians should be aware of these associations in providing comprehensive care to patients with psoriasis, especially those presenting with more severe disease.


Annals of the Rheumatic Diseases | 2015

Risk of major cardiovascular events in patients with psoriatic arthritis, psoriasis and rheumatoid arthritis: a population-based cohort study

Alexis Ogdie; YiDing Yu; Kevin Haynes; Thorvardur Jon Love; Samantha G. Maliha; Yihui Jiang; Andrea B. Troxel; Sean Hennessy; Stephen E. Kimmel; David J. Margolis; Hyon K. Choi; Nehal N. Mehta; Joel M. Gelfand

Objectives We aimed to quantify the risk of major adverse cardiovascular events (MACE) among patients with psoriatic arthritis (PsA), rheumatoid arthritis (RA) and psoriasis without known PsA compared with the general population after adjusting for traditional cardiovascular risk factors. Methods A population-based longitudinal cohort study from 1994 to 2010 was performed in The Health Improvement Network (THIN), a primary care medical record database in the UK. Patients aged 18–89 years of age with PsA, RA or psoriasis were included. Up to 10 unexposed controls matched on practice and index date were selected for each patient with PsA. Outcomes included cardiovascular death, myocardial infarction, cerebrovascular accidents and the composite outcome (MACE). Cox proportional hazards models were used to calculate the HRs for each outcome adjusted for traditional risk factors. A priori, we hypothesised an interaction between disease status and disease-modifying antirheumatic drug (DMARD) use. Results Patients with PsA (N=8706), RA (N=41 752), psoriasis (N=138 424) and unexposed controls (N=81 573) were identified. After adjustment for traditional risk factors, the risk of MACE was higher in patients with PsA not prescribed a DMARD (HR 1.24, 95% CI 1.03 to 1.49), patients with RA (No DMARD: HR 1.39, 95% CI 1.28 to 1.50, DMARD: HR 1.58, 95% CI 1.46 to 1.70), patients with psoriasis not prescribed a DMARD (HR 1.08, 95% CI 1.02 to 1.15) and patients with severe psoriasis (DMARD users: HR 1.42, 95% CI 1.17 to 1.73). Conclusions Cardiovascular risk should be addressed with all patients affected by psoriasis, PsA or RA.


Annals of the Rheumatic Diseases | 2012

Obesity and the risk of psoriatic arthritis: a population-based study

Thorvardur Jon Love; Yanyan Zhu; Yuqing Zhang; Lindsay Wall-Burns; Alexis Ogdie; Joel M. Gelfand; Hyon K. Choi

Background Obesity is associated with an increased risk of psoriasis; however, its potential impact on the risk of psoriatic arthritis (PsA) remains unclear. Objectives To evaluate the association between body mass index (BMI) and the risk of PsA among patients with psoriasis from the general population. Methods The authors conducted a cohort study using data from The Health Improvement Network, an electronic medical records database representative of the UK general population, collected between 1995 and 2010. The exposure of interest was the first BMI measured after psoriasis diagnosis and endpoints were incident cases of physician-diagnosed PsA. The authors estimated the RR of PsA after adjusting for age, sex, and histories of trauma, smoking and alcohol consumption. Results Among 75 395 individuals with psoriasis (43% male, mean follow-up of 5 years, and mean age of 52 years), 976 developed PsA (incidence rate, 26.5 per 10 000 person-years). The PsA incidence rates increased with increasing BMI. Compared with psoriasis patients with BMI <25 kg/m2, the RRs for developing PsA were 1.09 (0.93–1.28) for BMIs from 25.0 to 29.9, 1.22 (1.02–1.47) for BMIs from 30.0 to 34.9 and 1.48 (1.20–1.81) for BMIs ≥35.0. In our secondary analysis among all individuals, regardless of psoriasis (∼2 million), the corresponding multivariate RRs tended to be stronger (1.0, 1.17, 1.57, 1.96; p for trend <0.001). Conclusions This general population study suggests that obesity is associated with an increased risk of incident PsA and supports the importance of weight reduction among psoriasis patients who often suffer from the metabolic syndrome and obesity.


Arthritis & Rheumatism | 2015

2015 Gout Classification Criteria: An American College of Rheumatology/European League Against Rheumatism Collaborative Initiative

Tuhina Neogi; Tim L. Jansen; Nicola Dalbeth; Jaap Fransen; H. Ralph Schumacher; Dianne Berendsen; Melanie Brown; Hyon K. Choi; N. Lawrence Edwards; Hein J.E.M. Janssens; Frédéric Lioté; Raymond P. Naden; George Nuki; Alexis Ogdie; Fernando Perez-Ruiz; Kenneth G. Saag; Jasvinder A. Singh; John S. Sundy; Anne-Kathrin Tausche; Janitzia Vaquez-Mellado; Steven A. Yarows; William J. Taylor

Existing criteria for the classification of gout have suboptimal sensitivity and/or specificity, and were developed at a time when advanced imaging was not available. The current effort was undertaken to develop new classification criteria for gout.


Arthritis Care and Research | 2015

Distinctions between diagnostic and classification criteria

Rohit Aggarwal; Sarah Ringold; Dinesh Khanna; Tuhina Neogi; Sindhu R. Johnson; Amy S. Miller; Hermine I. Brunner; Rikke Ogawa; David T. Felson; Alexis Ogdie; Daniel Aletaha; Brian M. Feldman

Rheumatologists face unique challenges in discriminating between rheumatologic and non-rheumatologic disorders with similar manifestations, and in discriminating among rheumatologic disorders with shared features. The majority of rheumatic diseases are multisystem disorders with poorly understood etiology; they tend to be heterogeneous in their presentation, course, and outcome, and do not have a single clinical, laboratory, pathological, or radiological feature that could serve as a “gold standard” in support of diagnosis and/or classification. Thus, the development of criteria for use in routine clinical care and in clinical research has been an important focus in rheumatology. Improved understanding of disease pathogenesis and new diagnostic tools have led to reexamination of existing classification and diagnostic criteria with updated classification criteria for some diseases being endorsed recently (1, 2). The American College of Rheumatology (ACR) Subcommittee on Classification and Response Criteria is responsible for guiding the development and validation of new classification and response criteria that are eventually considered for ACR endorsement. This includes review of proposals for the development of new criteria sets and providing the ACR leadership with recommendations for development and approval of new classification and response criteria sets (1, 3–5). The Subcommittee has previously published a guidance paper for the development of classification and response criteria (6). This prior work has provided details about the rationale for the ACR’s position on classification criteria, but clarification around the issue of diagnostic criteria was lacking. Indeed, the ACR endorsed preliminary diagnostic criteria for fibromyalgia (7) in 2010, which prompted discussions about whether the Subcommittee should also support the development and ACR endorsement of diagnostic criteria, in addition to that of classification and response criteria. The primary objectives of this current article, by former and current members of the Subcommittee on Classification and Response Criteria, are to compare diagnostic and classification criteria, using specific examples from the published literature, and to clarify the ACR’s position on both types of criteria.


Journal of The American Academy of Dermatology | 2017

Psoriasis and comorbid diseases: Epidemiology

Junko Takeshita; Sungat K. Grewal; Sinéad M. Langan; Nehal N. Mehta; Alexis Ogdie; Abby S. Van Voorhees; Joel M. Gelfand

Psoriasis is a common chronic inflammatory disease of the skin that is increasingly being recognized as a systemic inflammatory disorder. Psoriatic arthritis is a well-known comorbidity of psoriasis. A rapidly expanding body of literature in various populations and settings supports additional associations between psoriasis and cardiometabolic diseases, gastrointestinal diseases, kidney disease, malignancy, infection, and mood disorders. The pathogenesis of comorbid disease in patients with psoriasis remains unknown; however, shared inflammatory pathways, cellular mediators, genetic susceptibility, and common risk factors are hypothesized to be contributing elements. As additional psoriasis comorbidities continue to emerge, education of health care providers is essential to ensuring comprehensive medical care for patients with psoriasis.


Annals of the Rheumatic Diseases | 2014

Imaging modalities for the classification of gout: systematic literature review and meta-analysis

Alexis Ogdie; William J. Taylor; Mark Weatherall; Jaap Fransen; T.L.Th.A. Jansen; Tuhina Neogi; Schumacher Hr; Nicola Dalbeth

Background Although there has been major progress in gout imaging, no gout classification criteria currently include advanced imaging techniques. Objective To examine the usefulness of imaging modalities in the classification of gout when compared to monosodium urate (MSU) crystal confirmation as the gold standard, in order to inform development of new gout classification criteria. Methods We systematically reviewed the published literature concerning the diagnostic performance of plain film radiography, MRI, ultrasound (US), conventional CT and dual energy CT (DECT). Only studies with MSU crystal confirmation as the gold standard were included. When more than one study examined the same imaging feature, the data were pooled and summary test characteristics were calculated. Results 11 studies (9 manuscripts and 2 meeting abstracts) satisfied the inclusion criteria. All were set in secondary care, with mean gout disease duration of at least 7 years. Three features were examined in more than one study: the double contour sign (DCS) on US, tophus on US, and MSU crystal deposition on DECT. The pooled (95% CI) sensitivity and specificity of US DCS were 0.83 (0.72 to 0.91) and 0.76 (0.68 to 0.83), respectively; of US tophus, were 0.65 (0.34 to 0.87) and 0.80 (0.38 to 0.96), respectively; and of DECT, were 0.87 (0.79 to 0.93) and 0.84 (0.75 to 0.90), respectively. Conclusions US and DECT show promise for gout classification but the few studies to date have mostly been in patients with longstanding, established disease. The contribution of imaging over clinical features for gout classification criteria requires further examination.


Annals of the Rheumatic Diseases | 2014

Risk of mortality in patients with psoriatic arthritis, rheumatoid arthritis and psoriasis: a longitudinal cohort study

Alexis Ogdie; Kevin Haynes; Andrea B. Troxel; Thorvardur Jon Love; Sean Hennessy; Hyon K. Choi; Joel M. Gelfand

Background There are conflicting reports in the literature of the mortality risk among patients with psoriatic arthritis (PsA). The objective of this study was to examine the risk of mortality in patients with PsA compared with matched controls, patients with psoriasis and those with rheumatoid arthritis (RA). Methods A longitudinal cohort study was performed in a large UK medical record database, The Health Improvement Network, among patients with PsA, rheumatoid arthritis (RA) or psoriasis with data from 1994 to 2010. Unexposed controls were matched on practice and start date within the practice for each patient with PsA. Cox proportional hazards models were used to calculate the relative hazards for death. Results Patients with PsA (N=8706), RA (N=41 752), psoriasis (N=138 424) and unexposed controls (N=82 258) were identified; 1 442 357 person-years were observed during which 21 825 deaths occurred. Compared with population controls, patients with PsA did not have an increased risk of mortality after adjusting for age and sex (disease-modifying antirheumatic drug (DMARD) users: HR 0.94, 95% CI 0.80 to 1.10; DMARD non-users: HR 1.06, 95% CI 0.94 to 1.19) whereas patients with RA had increased mortality (DMARD users: HR 1.59, 95% CI 1.52 to 1.66; DMARD non-users: HR 1.54, 95% CI 1.47 to 1.60). Patients with psoriasis who had not been prescribed a DMARD had a small increased risk of mortality (HR 1.08, 95% CI 1.04 to 1.12) while those who had been prescribed a DMARD, indicating severe psoriasis, were at increased risk (HR 1.75, 95% CI 1.56 to 1.95). Conclusions Patients with RA and psoriasis have increased mortality compared with the general population but patients with PsA do not have a significantly increased risk of mortality.


Rheumatic Diseases Clinics of North America | 2015

The Epidemiology of Psoriatic Arthritis

Alexis Ogdie; Pamela F. Weiss

Psoriatic arthritis (PsA) is a chronic systemic inflammatory disorder characterized by joint and entheseal inflammation with a prevalence of 0.05% to 0.25% of the population and 6% to 41% of patients with psoriasis. PsA is a highly heterogeneous inflammatory arthritis. In this review, current knowledge is discussed regarding the epidemiology of PsA, including disease manifestations, classification criteria for adult and juvenile PsA, methods for recognizing early PsA, including use of screening tools and knowledge of risk factors for PsA, and medical comorbidities associated with PsA.

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Joel M. Gelfand

University of Pennsylvania

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Junko Takeshita

University of Pennsylvania

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William Tillett

Royal National Hospital for Rheumatic Diseases

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