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Dive into the research topics where Jeffrey A. Sparks is active.

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Featured researches published by Jeffrey A. Sparks.


Annals of the Rheumatic Diseases | 2014

Being overweight or obese and risk of developing rheumatoid arthritis among women: a prospective cohort study

Bing Lu; Linda T. Hiraki; Jeffrey A. Sparks; Susan Malspeis; Chia-Yen Chen; J Adebukola Awosogba; Elizabeth V. Arkema; Karen H. Costenbader; Elizabeth W. Karlson

Objectives To examine the relationship between being overweight or obese and developing rheumatoid arthritis (RA) in two large prospective cohorts, the Nurses’ Health Study (NHS) and Nurses’ Health Study II (NHSII). Methods We followed 109 896 women enrolled in NHS and 108 727 in NHSII who provided lifestyle, environmental exposure and anthropometric information through biennial questionnaires. We assessed the association between time-varying and cumulative Body Mass Index (BMI) in WHO categories of normal, overweight and obese (18.5–<25, 25.0–<30, ≥30.0 kg/m2) and incident RA meeting the 1987 American College of Rheumatology (ACR) criteria. We estimated HRs for overall RA and serologic subtypes with Cox regression models adjusted for potential confounders. We repeated analyses restricted to RA diagnosed at age 55 years or younger. Results During 2 765 195 person-years of follow-up (1976–2008) in NHS and 1 934 518 person-years (1989–2009) in NHSII, we validated 1181 incident cases of RA (826 in NHS, 355 in NHSII). There was a trend toward increased risk of all RA among overweight and obese women (HR (95% CI) 1.37 (0.95 to 1.98) and 1.37 (0.91, 2.09), p for trend=0.068). Among RA cases diagnosed at age 55 years or younger, this association appeared stronger (HR 1.45 (1.03 to 2.03) for overweight and 1.65 (1.34 to 2.05) for obese women (p trend <0.001)). Ten cumulative years of being obese, conferred a 37% increased risk of RA at younger ages (HR 1.37 (1.11 to 1.69)). Conclusions Risks of seropositive and seronegative RA were elevated among overweight and obese women, particularly among women diagnosed with RA at earlier ages.


Annual Review of Genomics and Human Genetics | 2013

Communicating genetic risk information for common disorders in the era of genomic medicine.

Denise Lautenbach; Kurt D. Christensen; Jeffrey A. Sparks; Robert C. Green

Communicating genetic risk information in ways that maximize understanding and promote health is increasingly important given the rapidly expanding availability and capabilities of genomic technologies. A well-developed literature on risk communication in general provides guidance for best practices, including presentation of information in multiple formats, attention to framing effects, use of graphics, sensitivity to the way numbers are presented, parsimony of information, attentiveness to emotions, and interactivity as part of the communication process. Challenges to communicating genetic risk information include deciding how best to tailor it, streamlining the process, deciding what information to disclose, accepting that communications may have limited influence, and understanding the impact of context. Meeting these challenges has great potential for empowering individuals to adopt healthier lifestyles and improve public health, but will require multidisciplinary approaches and collaboration.


Arthritis Care and Research | 2016

Rheumatoid Arthritis and Mortality Among Women During 36 Years of Prospective Follow-Up: Results From the Nurses’ Health Study

Jeffrey A. Sparks; Shun-Chiao Chang; Katherine P. Liao; Bing Lu; Alexander Fine; Daniel H. Solomon; Karen H. Costenbader; Elizabeth W. Karlson

To evaluate rheumatoid arthritis (RA) and mortality risk among women followed prospectively in the Nurses’ Health Study (NHS).


Rheumatic Diseases Clinics of North America | 2014

Genetics, environment, and gene-environment interactions in the development of systemic rheumatic diseases

Jeffrey A. Sparks; Karen H. Costenbader

Rheumatic diseases offer distinct challenges to researchers because of heterogeneity in disease phenotypes, low disease incidence, and geographic variation in genetic and environmental factors. Emerging research areas, including epigenetics, metabolomics, and the microbiome, may provide additional links between genetic and environmental risk factors in the pathogenesis of rheumatic disease. This article reviews the methods used to establish genetic and environmental risk factors and studies gene-environment interactions in rheumatic diseases, and provides specific examples of successes and challenges in identifying gene-environment interactions in rheumatoid arthritis, systemic lupus erythematosus, and ankylosing spondylitis. Emerging research strategies and future challenges are discussed.


Arthritis & Rheumatism | 2015

Interactions Between Amino Acid–Defined Major Histocompatibility Complex Class II Variants and Smoking in Seropositive Rheumatoid Arthritis

Kwangwoo Kim; Xia Jiang; Jing Cui; Bing Lu; Karen H. Costenbader; Jeffrey A. Sparks; So-Young Bang; Hye-Soon Lee; Yukinori Okada; Soumya Raychaudhuri; Lars Alfredsson; Sang-Cheol Bae; Lars Klareskog; Elizabeth W. Karlson

To define the interaction between cigarette smoking and HLA polymorphisms in seropositive rheumatoid arthritis (RA), in the context of a recently identified amino acid–based HLA model for RA susceptibility.


Annals of the Rheumatic Diseases | 2015

Improved performance of epidemiologic and genetic risk models for rheumatoid arthritis serologic phenotypes using family history

Jeffrey A. Sparks; Chia-Yen Chen; Xia Jiang; Johan Askling; Linda T. Hiraki; Susan Malspeis; Lars Klareskog; Lars Alfredsson; Karen H. Costenbader; Elizabeth W. Karlson

Objective To develop and validate rheumatoid arthritis (RA) risk models based on family history, epidemiologic factors and known genetic risk factors. Methods We developed and validated models for RA based on known RA risk factors, among women in two cohorts: the Nurses’ Health Study (NHS, 381 RA cases and 410 controls) and the Epidemiological Investigation of RA (EIRA, 1244 RA cases and 971 controls). Model discrimination was evaluated using the area under the receiver operating characteristic curve (AUC) in logistic regression models for the study population and for those with positive family history. The joint effect of family history with genetics, smoking and body mass index (BMI) was evaluated using logistic regression models to estimate ORs for RA. Results The complete model including family history, epidemiologic risk factors and genetics demonstrated AUCs of 0.74 for seropositive RA in NHS and 0.77 for anti-citrullinated protein antibody (ACPA)-positive RA in EIRA. Among women with positive family history, discrimination was excellent for complete models for seropositive RA in NHS (AUC 0.82) and ACPA-positive RA in EIRA (AUC 0.83). Positive family history, high genetic susceptibility, smoking and increased BMI had an OR of 21.73 for ACPA-positive RA. Conclusions We developed models for seropositive and seronegative RA phenotypes based on family history, epidemiological and genetic factors. Among those with positive family history, models using epidemiologic and genetic factors were highly discriminatory for seropositive and seronegative RA. Assessing epidemiological and genetic factors among those with positive family history may identify individuals suitable for RA prevention strategies.


Seminars in Arthritis and Rheumatism | 2014

Osseous sarcoidosis: Clinical characteristics, treatment, and outcomes—Experience from a large, academic hospital

Jeffrey A. Sparks; Jakob I. McSparron; Nehal A. Shah; Piran Aliabadi; Vera Paulson; Christopher H. Fanta; Jonathan S. Coblyn

OBJECTIVE Osseous sarcoidosis has been infrequently reported. We aimed to characterize the distribution of lesions, clinical presentation, treatment, and outcomes for osseous sarcoidosis. METHODS Cases of osseous sarcoidosis were identified by directed inquiry to clinicians and electronic query. Cases were defined as having pathologic evidence of non-caseating granulomas on bone biopsy or evidence of osseous lesions on imaging attributable to sarcoidosis in patients with known sarcoidosis. Detailed characteristics were obtained by medical record review. RESULTS We identified a total of 20 cases of osseous sarcoidosis. Osseous lesions were detected by imaging during the initial sarcoidosis presentation in 60% of cases. In those who had a prior diagnosis of sarcoidosis, the median duration of sarcoidosis before detection of osseous involvement was 4.3 years. Symptoms were present in 50% of cases. All cases had more than one bone involved. The axial skeleton was involved in the majority of cases (90%), primarily the pelvis and the lumbar spine. Most cases required no treatment (55%); a minority of cases (45%) were treated, most often with prednisone, methotrexate, or hydroxychloroquine. Two cases required multiple immunosuppressants, including tumor necrosis factor inhibitors, for refractory symptomatic osseous sarcoidosis. Treated cases were younger than those who were untreated. At last follow-up, most cases (85%) were asymptomatic from osseous lesions. CONCLUSIONS In this case series of osseous sarcoidosis from a single center, most patients had multiple bones affected and had other systemic manifestations of sarcoidosis. A minority required treatment for relief of symptoms, and most cases were asymptomatic at last follow-up.


Contemporary Clinical Trials | 2014

Personalized Risk Estimator for Rheumatoid Arthritis (PRE-RA) Family Study: Rationale and design for a randomized controlled trial evaluating rheumatoid arthritis risk education to first-degree relatives

Jeffrey A. Sparks; Maura D. Iversen; Rachel Miller Kroouze; Taysir Mahmoud; Nellie A. Triedman; Sarah S. Kalia; Michael L. Atkinson; Bing Lu; Kevin D. Deane; Karen H. Costenbader; Robert C. Green; Elizabeth W. Karlson

We present the rationale, design features, and protocol of the Personalized Risk Estimator for Rheumatoid Arthritis (PRE-RA) Family Study (ClinicalTrials.gov NCT02046005). The PRE-RA Family Study is an NIH-funded prospective, randomized controlled trial designed to compare the willingness to change behaviors in first-degree relatives of rheumatoid arthritis (RA) patients without RA after exposure to RA risk educational programs. Consented subjects are randomized to receive education concerning their personalized RA risk based on demographics, RA-associated behaviors, genetics, and biomarkers or to receive standard RA information. Four behavioral factors associated with RA risk were identified from prior studies for inclusion in the risk estimate: cigarette smoking, excess body weight, poor oral health, and low fish intake. Personalized RA risk information is presented through an online tool that collects data on an individuals specific age, gender, family history, and risk-related behaviors; presents genetic and biomarker results; displays relative and absolute risk of RA; and provides personalized feedback and education. The trial outcomes will be changes in willingness to alter behaviors from baseline to 6 weeks, 6 months, and 12 months in the three intervention groups. The design and the execution of this trial that targets a special population at risk for RA, while incorporating varied risk factors into a single risk tool, offer distinct challenges. We provide the theoretical rationale for the PRE-RA Family Study and highlight particular design features of this trial that utilize personalized risk education as an intervention.


Arthritis Care and Research | 2015

Impact of Bariatric Surgery on Patients With Rheumatoid Arthritis

Jeffrey A. Sparks; Florencia Halperin; Jonathan C. Karlson; Elizabeth W. Karlson; Bonnie L. Bermas

To investigate the effect of weight loss after bariatric surgery among patients with rheumatoid arthritis (RA).


Arthritis Care and Research | 2014

Contributions of familial rheumatoid arthritis or lupus and environmental factors to risk of rheumatoid arthritis in women: a prospective cohort study.

Jeffrey A. Sparks; Chia-Yen Chen; Linda T. Hiraki; Susan Malspeis; Karen H. Costenbader; Elizabeth W. Karlson

We assessed the contributions of familial rheumatoid arthritis (RA) or lupus and environmental factors to the risk of RA.

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Elizabeth W. Karlson

Brigham and Women's Hospital

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Karen H. Costenbader

Brigham and Women's Hospital

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Bing Lu

Brigham and Women's Hospital

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Medha Barbhaiya

Brigham and Women's Hospital

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Susan Malspeis

Brigham and Women's Hospital

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Sara Tedeschi

Brigham and Women's Hospital

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Daniel H. Solomon

Brigham and Women's Hospital

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Kevin D. Deane

University of Colorado Denver

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Jing Cui

Brigham and Women's Hospital

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