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Balevic S, Sun K, Rogers JL, Eudy A, Sadun RE, Maheswaranathan M, Doss J, Criscione-Schreiber L, O'Malley T, Clowse M, Weiner D. Interpreting hydroxychloroquine blood levels for medication non-adherence: a pharmacokinetic study. Lupus Sci Med 2024; 11:e001090. [PMID: 38688714 DOI: 10.1136/lupus-2023-001090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 04/20/2024] [Indexed: 05/02/2024]
Abstract
OBJECTIVE Characterise the relationship between hydroxychloroquine (HCQ) blood levels and the number of missed doses, accounting for dosage, dose timing and the large variability in pharmacokinetics (PK) between patients. METHODS We externally validated a published PK model and then conducted dosing simulations. We developed a virtual population of 1000 patients for each dosage across a range of body weights and PK variability. Using the model, 10 Monte Carlo simulations for each patient were conducted to derive predicted whole blood concentrations every hour over 24 hours (240 000 HCQ levels at steady state). To determine the impact of missed doses on levels, we randomly deleted a fixed proportion of doses. RESULTS For patients receiving HCQ 400 mg daily, simulated random blood levels <200 ng/mL were exceedingly uncommon in fully adherent patients (<0.1%). In comparison, with 80% of doses missed, approximately 60% of concentrations were <200 ng/mL. However, this cut-off was highly insensitive and would miss many instances of severe non-adherence. Average levels quickly dropped to <200 ng/mL after 2-4 days of missed doses. Additionally, mean levels decreased by 29.9% between peak and trough measurements. CONCLUSIONS We propose an algorithm to optimally interpret HCQ blood levels and approximate the number of missed doses, incorporating the impact of dosage, dose timing and pharmacokinetic variability. No single cut-off has adequate combinations of both sensitivity and specificity, and cut-offs are dependent on the degree of targeted non-adherence. Future studies should measure trough concentrations to better identify target HCQ levels for non-adherence and efficacy.
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Affiliation(s)
- Stephen Balevic
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Clinical Research Institute, Durham, North Carolina, USA
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Kai Sun
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jennifer L Rogers
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Amanda Eudy
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Rebecca Eli Sadun
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Mithu Maheswaranathan
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jayanth Doss
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | | | | | - Megan Clowse
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Daniel Weiner
- UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
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Herndon S, Corneli A, Dombeck C, Swezey T, Clowse M, Rogers JL, Criscione-Schreiber LG, Sadun RE, Doss J, Eudy AM, Bosworth HB, Sun K. A qualitative study of facilitators of medication adherence in systemic lupus erythematosus: Perspectives from rheumatology providers/staff and patients. Lupus 2024; 33:137-144. [PMID: 38164913 PMCID: PMC10922388 DOI: 10.1177/09612033231225843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) disproportionately affects patients from racial and ethnic minority groups. Medication adherence is lower among these patient populations, and nonadherence is associated with worse health outcomes. We aimed to identify factors that enable adherence to immunosuppressive medications among patients with SLE from racial and ethnic minority groups. METHODS Using a qualitative descriptive study design, we conducted in-depth interviews with purposefully selected (1) patients with SLE from racial and ethnic minority groups who were taking immunosuppressants and (2) lupus providers and staff. We focused on adherence facilitators, asking patients to describe approaches supporting adherence and for overcoming common adherence challenges and providers and staff to describe actions they can take to foster patient adherence. We used applied thematic analysis and categorized themes using the Capability, Opportunity, Motivation, Behavior (COM-B) model. RESULTS We interviewed 12 patients (4 adherent and 8 nonadherent based on medication possession ratio) and 12 providers and staff. Although each patient described a unique set of facilitators, patients most often described social support, physical well-being, reminders, and ability to acquire medications as facilitators. Providers also commonly mentioned reminders and easy medication access as facilitators as well as patient education/communication and empowerment. CONCLUSION Using an established behavioral change model, we categorized a breadth of adherence facilitators within each domain of the COM-B model while highlighting patients' individual approaches. Our findings suggest that an optimal adherence intervention may require a multi-modal and individually tailored approach including components from each behavioral domain-ensuring medication access (Capability) and utilizing reminders and social support (Opportunity), while coupled with internal motivation through improved communication and empowerment (Motivation).
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Affiliation(s)
- Shannon Herndon
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Amy Corneli
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Clinical Research Institute, Duke University, Durham, NC
| | - Carrie Dombeck
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Teresa Swezey
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Megan Clowse
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | | | | | - Rebecca E. Sadun
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Jayanth Doss
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Amanda M. Eudy
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Hayden B. Bosworth
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Kai Sun
- Department of Medicine, Duke University School of Medicine, Durham, NC
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3
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Balevic S, Sims CA, Eudy A, Smith V, Clowse M. Azathioprine metabolite levels and outcomes during pregnancies with rheumatic disease. Lupus Sci Med 2024; 11:e001036. [PMID: 38176699 PMCID: PMC10773429 DOI: 10.1136/lupus-2023-001036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/14/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVE Despite widespread use of azathioprine (AZA) during pregnancy, no studies evaluated the impact of pregnancy on AZA metabolites 6-thioguanine nucleotide (6-TGN) and 6-methylmercaptopurine nucleotide (6-MMPN) disposition in rheumatic diseases. This study characterises changes in AZA metabolite concentrations throughout pregnancy in women with rheumatic disease and explores relationships between metabolite concentrations, maternal disease activity, and neonatal outcomes. METHODS Patients with rheumatic disease from a single centre prescribed AZA prior to pregnancy and ≥1 blood sample during pregnancy (5/2016 to 4/2022) were included. Commercial laboratories quantified AZA metabolite concentrations. The upper safety limit for 6-MMPN was >5700 pmol/8×108 RBC. The therapeutic target for 6-TGN was ≥159 pmol/8×108 RBC. Repeated correlation measures were used to evaluate the relationship between metabolite concentrations and pregnancy duration, and the relationship between 6-TGN concentration and SLE Physician Global Assessment (PGA). The relationship between pregnancy average 6-TGN and neonatal gestational age at birth was analysed using linear regression. RESULTS Thirty-seven pregnancies in 35 women with 108 serum samples were included. There was no significant difference in dose-adjusted 6-TGN concentrations across pregnancy and peripartum, whereas 6-MMPN concentrations appeared higher during pregnancy. No elevated transaminases or cholestasis were observed concurrently with 6-MMPN above 5700 pmol/8×108 RBC. Metabolite concentrations were related to total AZA dosage, weight-based dosage and TPMT phenotype. In pregnant women with SLE achieving average 6-TGN in the therapeutic range, we observed a non-significant reduction in PGA and increase in neonatal gestational age at birth. CONCLUSIONS In this exploratory study, we did not observe systematic changes in 6-TGN concentrations throughout pregnancy and peripartum, whereas 6-MMPN concentrations were higher during pregnancy. Monitoring AZA metabolite concentrations in pregnancy is a potential tool to identify medication non-adherence as well as patients with high 6-MMPN in whom dosage adjustment or close laboratory monitoring may optimise safety.
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Affiliation(s)
- Stephen Balevic
- Duke Clinical Research Institute, Durham, North Carolina, USA
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Catherine A Sims
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Durham Veterans Affairs Hospital, Durham, North Carolina, USA
| | - Amanda Eudy
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Valerie Smith
- Durham Veterans Affairs Hospital, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
| | - Megan Clowse
- Department of Medicine, Duke University, Durham, North Carolina, USA
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4
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Solomon M, Henao R, Economau-Zavlanos N, Smith I, Adagarla B, Overton AJ, Howe C, Doss J, Clowse M, Leverenz DL. Encounter Appropriateness Score for You Model: Development and Pilot Implementation of a Predictive Model to Identify Visits Appropriate for Telehealth in Rheumatology. Arthritis Care Res (Hoboken) 2024; 76:63-71. [PMID: 37781782 DOI: 10.1002/acr.25247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/30/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE We aimed to develop a decision-making tool to predict telehealth appropriateness for future rheumatology visits and expand telehealth care access. METHODS The model was developed using the Encounter Appropriateness Score for You (EASY) and electronic health record data at a single academic rheumatology practice from January 1, 2021, to December 31, 2021. The EASY model is a logistic regression model that includes encounter characteristics, patient sociodemographic and clinical characteristics, and provider characteristics. The goal of pilot implementation was to determine if model recommendations align with provider preferences and influence telehealth scheduling. Four providers were presented with future encounters that the model identified as candidates for a change in encounter modality (true changes), along with an equal number of artificial (false) recommendations. Providers and patients could accept or reject proposed changes. RESULTS The model performs well, with an area under the curve from 0.831 to 0.855 in 21,679 encounters across multiple validation sets. Covariates that contributed most to model performance were provider preference for and frequency of telehealth encounters. Other significant contributors included encounter characteristics (current scheduled encounter modality) and patient factors (age, Routine Assessment of Patient Index Data 3 scores, diagnoses, and medications). The pilot included 201 encounters. Providers were more likely to agree with true versus artificial recommendations (Cohen's κ = 0.45, P < 0.001), and the model increased the number of appropriate telehealth visits. CONCLUSION The EASY model accurately identifies future visits that are appropriate for telehealth. This tool can support shared decision-making between patients and providers in deciding the most appropriate follow-up encounter modality.
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Affiliation(s)
| | | | | | | | | | | | - Catherine Howe
- Duke University Hospital and Duke University, Durham, North Carolina
| | | | - Megan Clowse
- Duke University Medical Center, Durham, North Carolina
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Chighizola CB, Clowse M, Meroni PL, Andreoli L, Tincani A, Wallenius M, Nelson-Piercy C. The SPROUT study: A survey on current management practice of reproductive aspects in women of childbearing age with systemic autoimmune rheumatic diseases. Autoimmun Rev 2023:103376. [PMID: 37301275 DOI: 10.1016/j.autrev.2023.103376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 06/05/2023] [Indexed: 06/12/2023]
Abstract
The SPROUT (Survey on reproduction in RheUmaTology) study explored current practice in women of childbearing age with systemic autoimmune rheumatic diseases, investigating the counselling on contraception, the prescription of low dose acetylsalicylic acid (LDASA) to pregnant patients and the management of disease activity in the post-partum period. The SPROUT questionnaire was designed ad hoc and promoted in the three months before the "11th International Conference on Reproduction, Pregnancy and Rheumatic Disease". Between June and August 2021, 121 physicians responded to the survey. Even though 66.8% of the participants declared themselves to be confident in counselling surrounding birth control, only 62.8% of physicians always discuss contraception and family planning with women of childbearing age. Approximately 20% of respondents do not prescribe LDASA to pregnant women with rheumatic diseases, and wide heterogeneity exists in the dose and timing of LDASA prescription. Most respondents (43.8%) restart treatment with biological agents soon after delivery to prevent disease flares, opting for a drug compatible with breastfeeding while 41.3% of physicians continue biologics throughout pregnancy and post-partum. The SPROUT study highlighted the necessity to further foster physicians' education and identified the management of disease activity after delivery as a matter for discussion between all the clinicians involved in the care of pregnant women with rheumatic conditions.
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Affiliation(s)
- Cecilia Beatrice Chighizola
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy; Unit of Pediatric Rheumatology, ASST Pini - CTO, Milan, Italy
| | - Megan Clowse
- Division of Rheumatology & Immunology, Duke University School of Medicine, Durham, NC, USA
| | - Pier Luigi Meroni
- Experimental laboratory of ImmunoRheumatological Researches, IRCCS Istituto Auxologico Italiano, Cusano Milanino, Milan, Italy
| | - Laura Andreoli
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Rheumatology and Clinical Immunology Unit, ASST Spedali Civili, Brescia, Italy
| | - Angela Tincani
- Rheumatology and Clinical Immunology Unit, ASST Spedali Civili, Brescia, Italy
| | - Marianne Wallenius
- National Advisory Unit on Pregnancy and Rheumatic Diseases, St Olavs Hospital, Trondheim, Norway; University Hospital and Institute of Neuromedicine and Movement Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
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6
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Robl R, Eudy A, Bachali PS, Rogers JL, Clowse M, Pisetsky D, Lipsky P. Molecular endotypes of type 1 and type 2 SLE. Lupus Sci Med 2023; 10:10/1/e000861. [PMID: 36720488 PMCID: PMC9950972 DOI: 10.1136/lupus-2022-000861] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 01/04/2023] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To character the molecular landscape of patients with type 1 and type 2 SLE by analysing gene expression profiles from peripheral blood. METHODS Full transcriptomic RNA sequencing was carried out on whole blood samples from 18 subjects with SLE selected by the presence of manifestations typical of type 1 and type 2 SLE. The top 5000 row variance genes were analysed by Multiscale Embedded Gene Co-expression Network Analysis to generate gene co-expression modules that were functionally annotated and correlated with various demographic traits, clinical features and laboratory measures. RESULTS Expression of specific gene co-expression modules correlated with individual features of type 1 and type 2 SLE and also effectively segregated samples from patients with type 1 SLE from those with type 2 SLE. Unique type 1 SLE enrichment included interferon, monocytes, T cells, cell cycle and neurotransmitter pathways, whereas unique type 2 SLE enrichment included B cells and metabolic and neuromuscular pathways. Gene co-expression modules of patients with type 2 SLE were identified in subsets of previously reported patients with inactive SLE and idiopathic fibromyalgia (FM) and also identified subsets of patients with active SLE with a greater frequency of severe fatigue. CONCLUSION Gene co-expression analysis successfully identified unique transcriptional patterns that segregate type 1 SLE from type 2 SLE and further identified type 2 molecular features in patients with inactive SLE or FM and with active SLE with severe fatigue.
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Affiliation(s)
- Robert Robl
- Bioinformatics, AMPEL BioSolutions, Charlottesville, Virginia, USA
| | - Amanda Eudy
- Rheumatology, Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Jennifer L Rogers
- Rheumatology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Megan Clowse
- Rheumatology, Duke University School of Medicine, Durham, North Carolina, USA
| | - David Pisetsky
- Rheumatology, Duke University School of Medicine, Durham, North Carolina, USA,Rheumatology, Durham Veterans Administration Medical Center, Durham, North Carolina, USA
| | - Peter Lipsky
- Bioinformatics, AMPEL BioSolutions, Charlottesville, Virginia, USA
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7
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Barr AC, Clowse M, Maheswaranathan M, Eder L, Eudy AM, Criscione-Schreiber LG, Rogers JL, Sadun RE, Doss J, Sun K. Association of Hurried Communication and Low Patient Self-Efficacy With Persistent Nonadherence to Lupus Medications. Arthritis Care Res (Hoboken) 2023; 75:69-75. [PMID: 36194070 PMCID: PMC9797428 DOI: 10.1002/acr.25030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 08/17/2022] [Accepted: 09/27/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Medication nonadherence is common among patients with systemic lupus erythematosus (SLE), and adherence often fluctuates with time. Underrepresented racial minorities have disproportionately lower rates of medication adherence and more severe SLE manifestations. We aimed to identify modifiable factors associated with persistent medication nonadherence. METHODS Patients taking ≥1 SLE medication were enrolled. Adherence data were obtained at baseline and at follow-up roughly 1 year later using both self-reported adherence and pharmacy refill data. Covariates included patient-provider interaction, patient self-efficacy, and clinical factors. We compared characteristics of patients in 3 groups using the Kruskal-Wallis H test: persistent nonadherence (low adherence by self-report and refill rates at both time points); persistent adherence (high adherence by self-report and refill rates at both time points); and inconsistent adherence (the remainder). RESULTS Among 77 patients (median age 44 years, 53% Black, 96% female), 48% had persistent nonadherence. Compared with other adherence groups, patients with persistent nonadherence were younger and more likely to be Black, have lower income, take ≥2 SLE medications, have higher SLE-related damage at baseline, and have higher physician global assessment of disease activity at follow-up. Persistently nonadherent patients also rated more hurried communication with providers (particularly fast speech and difficult word choice) and had lower self-efficacy in managing medications. CONCLUSION Potential avenues to improve medication adherence include optimizing patient-provider communication, specifically avoiding difficult vocabulary and fast speech, and enhancing patient self-efficacy, particularly among younger Black patients with lower income who are at higher risk for nonadherence.
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Affiliation(s)
- Ann Cameron Barr
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Megan Clowse
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Mithu Maheswaranathan
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Lena Eder
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Amanda M. Eudy
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Jennifer L. Rogers
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Rebecca E. Sadun
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jayanth Doss
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Kai Sun
- Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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8
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Maguire S, Al-Emadi S, Alba P, Aguiar MC, Lawati TA, Alle G, Bermas B, Bhana S, Branimir A, Bulina I, Clowse M, Cogo K, Colunga I, Cook C, Cortez KJ, Dao K, Gianfrancesco M, Gore-Massey M, Gossec L, Grainger R, Hausman J, Hsu TYT, Hyrich K, Isnardi C, Kawano Y, Kilding R, Kusevich DA, Lawson-Tovey S, Liew J, McCarthy E, Montgumery A, Moyano S, Nasir N, Padjen I, Papagoras C, Patel NJ, Pera M, Pisoni C, Pons-Estel G, Quiambao AL, Quintana R, Ruderman E, Sattui S, Savio V, Sciascia S, Sencarova M, Morales RS, Siddique F, Sirotich E, Sparks J, Strangfeld A, Sufka P, Tanner H, Tissera Y, Wallace Z, Werner ML, Wise L, Worthing AB, Zell J, Zepa J, Machado PM, Yazdany J, Robinson P, Conway R. Obstetric Outcomes in Women with Rheumatic Disease and COVID-19 in the Context of Vaccination Status. Rheumatology (Oxford) 2022; 62:1621-1626. [PMID: 36124987 DOI: 10.1093/rheumatology/keac534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 08/30/2022] [Accepted: 09/04/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To describe obstetric outcomes based on COVID-19 vaccination status, in women with rheumatic and musculoskeletal diseases (RMDs) who developed COVID-19 during pregnancy. METHODS Data regarding pregnant women entered into the COVID-19 Global Rheumatology Alliance registry from 24 March 2020-25 February 2022 were analysed. Obstetric outcomes were stratified by number of COVID-19 vaccine doses received prior to COVID-19 infection in pregnancy. Descriptive differences between groups were tested using the chi -square or Fisher's exact test. RESULTS There were 73 pregnancies in 73 women with RMD and COVID-19. Overall, 24.7% (18) of pregnancies were ongoing, while of the 55 completed pregnancies 90.9% (50) of pregnancies resulted in livebirths. At the time of COVID-19 diagnosis, 60.3% (n = 44) of women were unvaccinated, 4.1% (n = 3) had received one vaccine dose while 35.6% (n = 26) had two or more doses. Although 83.6% (n = 61) of women required no treatment for COVID-19, 20.5% (n = 15) required hospital admission. COVID-19 resulted in delivery in 6.8% (n = 3) of unvaccinated women and 3.8% (n = 1) of fully vaccinated women. There was a greater number of preterm births (PTB) in unvaccinated women compared with fully vaccinated 29.5% (n = 13) vs 18.2%(n = 2). CONCLUSION In this descriptive study, unvaccinated pregnant women with RMD and COVID-19 had a greater number of PTB compared with those fully vaccinated against COVID-19. Additionally, the need for COVID-19 pharmacological treatment was uncommon in pregnant women with RMD regardless of vaccination status. These results support active promotion of COVID-19 vaccination in women with RMD who are pregnant or planning a pregnancy.
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Affiliation(s)
- Sinead Maguire
- Department of Rheumatology, St James's Hospital, Dublin, Ireland.,School of Medicine, Trinity College Dublin, Ireland
| | - Samar Al-Emadi
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Paula Alba
- Hospital Cordoba, Rheumatology Unit, Cordoba, Argentina.,Universidad Nacional de Cordoba, School of Medicine, Cordoba, Argentina
| | | | - Talal Al Lawati
- Department of Rheumatology, Sultan Qaboos University Hospital, Muscat, Oman
| | - Gelsomina Alle
- Department of Rheumatology, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | | | - Suleman Bhana
- Department of Rheumatology, Crystal Run Healthcare, Middleton, New York, USA
| | - Anic Branimir
- School of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia.,University of Zagreb, Division of Immunology and Rheumatology, Department of Internal Medicine, Zagreb, Croatia
| | - Inita Bulina
- Department of Rheumatology, Paul Stradins Clinical University Hospital, Riga, Latvia.,Department of Internal Diseases, Riga Stradins University, Riga, Latvia
| | - Megan Clowse
- Duke University School of Medicine, Durham, North Carolina, USA
| | - Karina Cogo
- Department of Rheumatology, Hospital Interzonal Luis Guemes, Buenos Aires, Argentina.,Hospital San Juan De Dios, Department of Rheumatology, Buenos Aires, Argentina
| | - Iris Colunga
- Hospital Universitario Dr Jose Eleuterio Gonzalez, Department of Rheumatology, Monterrey, Mexico
| | - Claire Cook
- Division of Rheumatology, Massachusetts General Hospital, Allergy & Immunology, Boston, Massachusetts, USA
| | - Karen J Cortez
- Baguio General Hospital and Medical Center, Department of Rheumatology, Baguio City, Philippines
| | - Kathryn Dao
- UT Southwestern Medical Center, Dallas, Texas, USA
| | - Milena Gianfrancesco
- Division of Rheumatology, Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | | | - Laure Gossec
- Sorbonne Universite, Paris, France.,Pitie-Salpetriere Hospital, Paris, France
| | - Rebecca Grainger
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Jonathon Hausman
- Department of Pediatric Rheumatology, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Rheumatology and Clinical Immunology, Beth Isreal Deaconess Medical Center, Boston, Massachusetts, USA
| | - Tiffany Y T Hsu
- Brigham and Women's Hospital, Division of Rheumatology, Inflammation and Immunity, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Kimme Hyrich
- The University of Manchester, Centre for Epidemiology Versus Arthritis, Manchester, UK.,Department of MSK Research, Manchester Academic Health Science Centre, Manchester, UK.,Department of Biomedical Research, UK and National Institute of Health Research Manchester, Manchester, UK
| | - Carolina Isnardi
- Argenitine Society of Rheumatology, Research Unit, Buenos Aires, Argentina
| | - Yumeko Kawano
- Brigham and Women's Hospital, Division of Rheumatology, Inflammation and Immunity, Boston, Massachusetts, USA
| | - Rachael Kilding
- Department of Rheumatology, Sheffield Teaching Hospitals, NHS Foundation Trust, Sheffield, UK
| | - Daria A Kusevich
- Nasonova Research Institute of Rheumatology, Department of Rheumatology, Vidnoe, Russia
| | - Saskia Lawson-Tovey
- Department of MSK Research, Manchester Academic Health Science Centre, Manchester, UK.,UK and National Institute of Health Research Manchester, Department of Biomedical Research, Manchester, UK.,University of Manchester, Centre for Musculoskeletal Research, Centre for Genetics and Genomics Versus Arthritis, Manchester, UK.,Department of Biomedical Research, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jean Liew
- Boston University School of Medicine, Boston, Massachusetts, USA
| | - Eoghan McCarthy
- Department of Rheumatology, Beaumont Hospital, Dublin, Ireland
| | - Anna Montgumery
- University of California San Francisco, Division of Rheumatology, Department of Medicine, San Francisco, California, USA.,VA Medical Center, Department of Health Research, San Francisco, California, USA
| | - Sebastian Moyano
- Department of Rheumatology, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Noreen Nasir
- The Aga Khan University Hospital, Section of Internal Medicine, Department of Medicine, Karachi, Pakistan
| | - Ivan Padjen
- School of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia.,University of Zagreb, Division of Immunology and Rheumatology, Department of Internal Medicine, Zagreb, Croatia
| | - Charalampos Papagoras
- Democritus University of Thrace, First Department of Internal Medicine, Alexandroupolis, Greece
| | - Naomi J Patel
- Massachusetts General Hospital, Division of Rheumatology, Allergy & Immunology, Boston, Massachusetts, USA
| | - Mariana Pera
- Hospital Angel C Padilla, Department of Rheumatology, Tucuman, Argentina
| | - Cecilia Pisoni
- CEMIC, Rheumatology and Immunology Section, Department of Internal Medicine, Buenos Aires, Argentina
| | - Guillermo Pons-Estel
- Sheffield Teaching Hospitals, NHS Foundation Trust, Department of Rheumatology, Sheffield, UK
| | - Antonio L Quiambao
- East Avenue Medical Center, Department of Rheumatology, Quezon City, Philippines
| | - Rosana Quintana
- Argenitine Society of Rheumatology, Research Unit, Buenos Aires, Argentina
| | - Eric Ruderman
- Northwestern University Feinberg School of Medicine, Department of Medicine/Rheumatology, Chicago, Illinois, USA
| | - Sebastian Sattui
- University of Pittsburgh, Department of Rheumatology, Pittsburgh, Pennsylvania, USA
| | | | - Savino Sciascia
- Osedale San Giovanni Bosco, Centro Multidisciplinare de Recerche di Immunopatologia e Documentazione su Malattie Rare (C.M.I.D.), Turin, Italy
| | - Marieta Sencarova
- Univerzitna Nemocnica L Pasteura, Department of Rheumatology, Slovakia
| | - Rosa Serrano Morales
- Centro Regional de Enfermedades Autoinmunes y Reumaticas (GO-CREAR), Rosario, Argentina
| | - Faizah Siddique
- Department of Rheumatology, Loyola University Medical Center, Maywood, Illinois, USA
| | - Emily Sirotich
- McMaster University, Department of Health Research, Evidence and Impact, Hamilton, Ontario, Canada
| | - Jeffrey Sparks
- Brigham and Women's Hospital, Division of Rheumatology, Inflammation and Immunity, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Anja Strangfeld
- German Rheumatism Research Centre, Epidemiology Unit, Berlin, Germany
| | - Paul Sufka
- Healthcare Partners, St Paul, Minnesota, USA
| | - Helen Tanner
- Royal Brisbane and Women's Hospital, Department of Rheumatology, Queensland, Australia.,University of Queensland, Royal Brisbane Clinical Unit, Queensland, Australia
| | | | - Zachary Wallace
- Massachusetts General Hospital, Division of Rheumatology, Allergy & Immunology, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Marina L Werner
- Hospital Nacional de Clinicas, Department of Rheumatology, Cordoba, Argentina
| | - Leanna Wise
- University of Southern California, Keck School of Medicine, Los Angelos, California, USA
| | - Angus B Worthing
- Department of Rheumatology, Arthritis and Rheumatism Associates PC, Washington, DC, USA.,Georgetown University Medical Center, Washington, DC, USA
| | - JoAnn Zell
- Division of Rheumatology, University of Colorado Health, Aurora, Colorado, USA
| | - Julija Zepa
- Department of Rheumatology, Paul Stradins Clinical University Hospital, Latvia, Riga.,Riga Stradins University, School of Medicine, Latvia, Riga
| | - Pedro M Machado
- Centre for Rheumatology & Department of Neuromuscular Diseases, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK.,Department of Rheumatology, Northwick Park Hospital, London, UK
| | - Jinoos Yazdany
- University of California San Francisco, Division of Rheumatology, Department of Medicine, San Francisco, California, USA
| | - Philip Robinson
- Royal Brisbane and Women's Hospital, Department of Rheumatology, Queensland, Australia.,University of Queensland, Royal Brisbane Clinical Unit, Queensland, Australia.,Metro North Hospital & Health Service, Herston, Queensland, Australia
| | - Richard Conway
- Department of Rheumatology, St James's Hospital, Dublin, Ireland.,School of Medicine, Trinity College Dublin, Ireland
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Clowse M, Fischer-Betz R, Nelson-Piercy C, Scheuerle AE, Stephan B, Dubinsky M, Kumke T, Kasliwal R, Lauwerys B, Förger F. Pharmacovigilance pregnancy data in a large population of patients with chronic inflammatory disease exposed to certolizumab pegol. Ther Adv Musculoskelet Dis 2022; 14:1759720X221087650. [PMID: 35464812 PMCID: PMC9023886 DOI: 10.1177/1759720x221087650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/15/2022] [Indexed: 12/29/2022] Open
Abstract
Introduction: Chronic inflammatory diseases (CIDs), including rheumatic diseases and other inflammatory conditions, often affect women of reproductive age. Tumor necrosis factor inhibitors (TNFi) are widely used to treat CID, but there is limited information on outcomes of TNFi-exposed pregnancies. We evaluated pregnancy outcomes from 1392 prospectively reported pregnancies exposed to certolizumab pegol (CZP), a PEGylated, Fc-free TNFi with no to minimal placental transfer. Methods: CZP-exposed pregnancies in patients with CID from the UCB Pharmacovigilance global safety database were reviewed from the start of CZP clinical development (July 2001) to 1 November 2020. To limit bias, the analysis focused on prospectively reported cases with known pregnancy outcomes. Results: In total, 1392 prospective pregnancies with maternal CZP exposure and known pregnancy outcomes (n = 1425) were reported; 1021 had at least first-trimester CZP exposure. Live birth was reported in 1259/1425 (88.4%) of all prospective outcomes. There were 150/1425 (10.5%) pregnancy losses before 20 weeks (miscarriage/induced abortion), 11/1425 (0.8%) stillbirths, and 5/1392 (0.4%) ectopic pregnancies. Congenital malformations were present in 30/1259 (2.4%) live-born infants, of which 26 (2.1%) were considered major according to the Metropolitan Atlanta Congenital Defects Program criteria. There was no pattern of congenital malformations. Discussion and conclusion: No signal for adverse pregnancy outcomes or congenital malformations was observed in CZP-exposed pregnancies. Although the limitations of data collected through this methodology (including underreporting, missing information, and absence of a comparator group) should be considered, these data provide reassurance for women with CID who require CZP treatment during pregnancy, and their treating physicians.
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Affiliation(s)
- Megan Clowse
- Division of Rheumatology, Duke University Medical Center, 3535, Durham, NC 27710, USA
| | - Rebecca Fischer-Betz
- Department for Rheumatology and Hiller Research Institute, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Angela E. Scheuerle
- Department of Pediatrics, Division of Genetics and Metabolism, UT Southwestern Medical Center, Dallas, TX, USA
| | - Brigitte Stephan
- Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Marla Dubinsky
- The Susan and Leonard Feinstein IBD Center, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | | | | | | | - Frauke Förger
- Department of Rheumatology and Immunology, Inselspital, University Hospital and University of Bern, Bern, Switzerland
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Aringer M, Alarcón-Riquelme ME, Clowse M, Pons-Estel GJ, Vital EM, Dall’Era M. A glimpse into the future of systemic lupus erythematosus. Ther Adv Musculoskelet Dis 2022; 14:1759720X221086719. [PMID: 35368371 PMCID: PMC8972918 DOI: 10.1177/1759720x221086719] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/23/2022] [Indexed: 12/17/2022] Open
Abstract
This viewpoint article on a forecast of clinically meaningful changes in the management of systemic lupus erythematosus (SLE) in the next 10 years is based on a review of the current state of the art. The groundwork has been laid by a robust series of classification criteria and treatment recommendations that have all been published since 2019. Building on this strong foundation, SLE management predictably will take significant steps forward. Assessment for lupus arthritis will presumably include musculoskeletal sonography. Large-scale polyomics studies are likely to unravel more of the central immune mechanisms of the disease. Biomarkers predictive of therapeutic success may enter the field; the type I interferon signature, as a companion for use of anifrolumab, an antibody against the common type I interferon receptor, is one serious candidate. Besides anifrolumab for nonrenal SLE and the new calcineurin inhibitor voclosporin in lupus nephritis, both of which are already approved in the United States and likely to become available in the European Union in 2022, several other approaches are in advanced clinical trials. These include advanced B cell depletion, inhibition of costimulation via CD40 and CD40 ligand (CD40L), and Janus kinase 1 (Jak1) and Tyrosine kinase 2 (Tyk2) inhibition. At the same time, essentially all of our conventional therapeutic armamentarium will continue to be used. The ability of patients to have successful SLE pregnancies, which has become much better in the last decades, should further improve, with approaches including tumor necrosis factor blockade and self-monitoring of fetal heart rates. While we hope that the COVID-19 pandemic will soon be controlled, it has highlighted the risk of severe viral infections in SLE, with increased risk tied to certain therapies. Although there are some data that a cure might be achievable, this likely will remain a challenge beyond 10 years from now.
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Affiliation(s)
- Martin Aringer
- Professor of Medicine (Rheumatology), Division of Rheumatology, Department of Medicine III, University Medical Center and Faculty of Medicine, TU Dresden, 01307 Dresden, Germany
| | - Marta E. Alarcón-Riquelme
- Department of Medical Genomics, GENYO, Pfizer-University of Granada-Andalusian Government Center for Genomics and Oncological Research, Granada, Spain
| | - Megan Clowse
- Division of Rheumatology & Immunology, Duke University, Durham, NC, USA
| | - Guillermo J. Pons-Estel
- Department of Rheumatology, Grupo Oroño–Centro Regional de Enfermedades Autoinmunes y Reumáticas (GO-CREAR), Rosario, Argentina
| | - Edward M. Vital
- University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Maria Dall’Era
- Lupus Clinic and Rheumatology Clinical Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
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Maheswaranathan M, Chu P, Johannemann A, Criscione-Schreiber L, Clowse M, Leverenz DL. The Impact of the COVID-19 Pandemic and Telemedicine Implementation on Practice Patterns and Electronic Health Record Utilization in an Academic Rheumatology Practice. J Clin Rheumatol 2022; 28:e612-e615. [PMID: 33843775 DOI: 10.1097/rhu.0000000000001751] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Mithu Maheswaranathan
- From the Division of Rheumatology and Immunology, Department of Medicine, Duke University, Durham, NC
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12
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Addae-Konadu K, Eudy A, Clowse M, Gilner J. Serum sFlt-1/PIGF Ratio as a Biological Marker of Preeclampsia in Women with Rheumatic Disease. Am J Obstet Gynecol 2022. [DOI: 10.1016/j.ajog.2021.11.1045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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13
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Pagidipati NJ, Phelan M, Page C, Clowse M, Henao R, Peterson ED, Goldstein BA. The importance of weight stabilization amongst those with overweight or obesity: Results from a large health care system. Prev Med Rep 2021; 24:101615. [PMID: 34976671 PMCID: PMC8684020 DOI: 10.1016/j.pmedr.2021.101615] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 10/14/2021] [Accepted: 10/22/2021] [Indexed: 10/28/2022] Open
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Clowse M, Fischer-Betz R, Nelson-Piercy C, Scheuerle A, Kumke T, Lauwerys B, Kasliwal R, Förger F. POS0022 PHARMACOVIGILANCE PREGNANCY DATA IN A LARGE POPULATION OF PATIENTS WITH CHRONIC INFLAMMATORY DISEASE EXPOSED TO CERTOLIZUMAB PEGOL: PREGNANCY OUTCOMES AND CONFOUNDERS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Chronic inflammatory diseases (CID) in women of reproductive age are increasingly being treated with tumour necrosis factor inhibitors (TNFi), in line with recent guidelines.1 However, data on TNFi-exposed pregnancy outcomes are still limited. Certolizumab pegol (CZP), a PEGylated, Fc-free TNFi, has no/minimal placental transfer from mother to infant during the third trimester.2Objectives:To assess pregnancy outcomes from the UCB Pharmacovigilance safety database from over 1,300 prospectively reported pregnancies with maternal CZP exposure.Methods:Details of CZP-exposed pregnancies from the UCB Pharmacovigilance safety database were reviewed up to November 1, 2020. Analysis was limited to prospectively reported cases with known pregnancy outcomes to avoid potential reporting bias. Confounders (specific CID, non-biologic medications and maternal infection) were evaluated using a multivariate stepwise regression model; results from the confounders analysis are reported as odds ratios (OR) with 95% confidence intervals (CI). Patients with missing information about presence or absence of confounders were excluded from the model.Results:1,392 prospective pregnancies (1,425 fetuses) with maternal CZP exposure and known outcomes were reported (Figure 1). Mean (SD) maternal age was 31.9 (5.1) years. Of these, 1,021/1,392 (73.3%) pregnancies had at least first-trimester CZP exposure and 547/1,392 (39.3%) were exposed during all trimesters. Overall, there were 1,259/1,425 (88.4%) live births, 150/1,425 (10.5%) abortions (miscarriages and terminations), 11/1,425 (0.8%) stillbirths, and 5/1,425 (0.4%) ectopic pregnancies. Congenital malformations were reported in 35/1,425 fetuses (2.5%) and in 30/1,259 live-born infants (2.4%); 26 (2.1%) congenital malformations were major according to the Metropolitan Atlanta Congenital Defects Program criteria. There was no pattern of specific congenital malformations. Preterm births occurred in 124/1,259 (9.8%) live births, and 101/1,259 (8.0%) of infants had low birth weight (<2.5 kg). In the confounders analysis, reported corticosteroid use was independently associated with increased odds of preterm birth (OR [95% CI]: 2.1 [1.3–3.4]; p<0.005) and low birth weight (OR [95% CI]: 1.7 [1.0–2.9]; p<0.05), but decreased odds of abortion (OR [95% CI]: 0.5 [0.3–0.9]; p<0.05). Reported NSAID use was associated with increased odds of abortion (OR [95% CI]: 2.2 [1.2–4.0]; p<0.05), as was methotrexate/leflunomide use (OR [95% CI]: 3.2 [1.7–6.2]; p<0.0005). Maternal infections were associated with increased odds of preterm birth (OR [95% CI]: 1.9 (1.1–3.5; p<0.05). Finally, there was an association between a diagnosis of Crohn’s disease and odds of abortion (OR [95% CI]: 2.5 [1.5–4.1]; p=0.0005), and between rheumatoid arthritis and low birth weight (OR [95% CI]: 1.9 [1.1–3.3]; p<0.05).Conclusion:This prospective analysis, including more than 1,000 pregnancies with CZP exposure in at least the first trimester, represents one of the largest cohorts of pregnancies with known outcomes in patients with CID. Our data confirm the impact of specific CID, concomitant drugs or comorbidities on pregnancy outcomes. In particular, additional use of corticosteroids was highlighted as a risk factor for preterm birth and low birth weight in our cohort of CZP-treated patients. No increase in adverse pregnancy outcomes or specific congenital malformations was observed in CZP-exposed pregnancies, compared to the general population,3,4 which offers further reassurance for women of childbearing age considering CZP treatment.References:[1]Sammaritano LR. Arthritis Rheum 2020;72:529–56;[2]Mariette X. Ann Rheum Dis 2018;77:228–33;[3]Ventura SJ. Natl Vital Stat Rep 2012;60:1–21;[4]Lee H. BMC Pregnancy Childbirth 2020;20:33.Acknowledgements:This study was funded by UCB Pharma. Editorial services were provided by Costello Medical.Disclosure of Interests:Megan Clowse Consultant of: UCB Pharma, Grant/research support from: Janssen, Pfizer, Rebecca Fischer-Betz Consultant of: AbbVie, BMS, Celgene, Chugai, Eli Lilly, Janssen, Novartis, Pfizer, Sanofi, UCB Pharma, Catherine Nelson-Piercy Consultant of: Alliance Pharma, UCB Pharma, Angela Scheuerle Consultant of: Antiretroviral Pregnancy Registry, Harmony Biosciences, IQVIA, ICON, NovoNordisk, PPD, Roche, Sanofi-Genzyme, Syneos, UCB Pharma, ViiV, Thomas Kumke Shareholder of: UCB Pharma, Employee of: UCB Pharma, Bernard Lauwerys Employee of: UCB Pharma, Rachna Kasliwal Employee of: UCB Pharma, Frauke Förger Speakers bureau: Mepha, Roche, UCB Pharma, Grant/research support from: UCB Pharma.
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Chakravarty E, Utset T, Kamen DL, Contreras G, Mccune WJ, Kalunian KC, Aranow C, Clowse M, Goldmuntz E, Springer J, Keyes-Elstein L, Barry B, Pinckney A, James J. OP0167 SUCCESSFUL WITHDRAWAL OF MYCOPHENOLATE MOFETIL IN QUIESCENT SLE: RESULTS FROM A RANDOMIZED TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Trials and clinical observations have demonstrated the efficacy of mycophenolate mofetil (MMF) for SLE treatment. Long-term use of MMF is associated with adverse events, pregnancy risks, drug monitoring, and increased cost. Current management continues therapy indefinitely. Whether immunosuppression may be safely withdrawn or whether risks of withdrawal outweigh the benefits of continuation is unknown.Objectives:To compare rates of clinically significant disease reactivation (CSDR), major flares, and all flares in patients with quiescent SLE on stable MMF randomized to maintain or withdraw MMF. The goal is to provide guidance for clinicians and patients on the risks of MMF withdrawal.Methods:Adults with quiescent SLE (SELENA-SLEDAI without serologies <4) receiving MMF for ≥2 years for nephritis or ≥ 1 year for non-nephritis were randomized 1:1 to unblinded MMF (maintenance arm, MA) or to a 12-week taper off MMF (withdrawal arm, WA) and followed through 60 weeks. Subjects were on stable hydroxychloroquine; steroids limited to ≤ 10 mg. CSDR, defined as a SLEDAI flare requiring immunosuppression, BILAG flares and adverse events were assessed. Event rates and time to flare were compared using Kaplan-Meier.Results:102 subjects were randomized (50 MA, 52 WA); 1 subject in each arm was ineligible and 10 terminated early (7 MA, 3 WA). Mean disease duration was 13 years; 76% had a history of nephritis; mean baseline SLEDAI was 2.2. 5 MA subjects (10%) had CSDR, compared to 9 WA (17%). Median time to CDSR was 38 weeks in both arms. BILAG A flares occurred in 1MA subject (pancreatitis) vs. 4 WA (cranial neuropathy, panniculitis, 2 nephritis). Kaplan-Meier curves overlapped for CDSR, BILAG A flares, and all SLEDAI flares (Figure). Based on these data, we are 86% confident that the increased risk of CDSR with MMF withdrawal is less than 15% over 60 weeks. AEs were similar between groups; infections occurred more commonly in MA (63 vs. 49).Conclusion:In this cohort of subjects with quiescent SLE on long term MMF serious flares occurred infrequently in subjects continuing or withdrawing MMF without differences in time to flare. MMF withdrawal may be considered in subjects with prolonged quiescent disease.Table 1.Baseline and Demographic CharacteristicsMaintenance armWithdrawal armTotalRandomized5052102Female, n (%)39 (78)47 (90)86 (84)White, n (%)25 (50)19 (37)44 (43)Black, n (%)19 (38)22 (42)41 (40)Hispanic/Latino, n (%)10 (20)12 (23)22 (22)Age, Years, mean (SD)42.4 (12.9)41.6 (12.5)42.0 (12.6)Disease Duration, Years, mean (SD)13.6 (8.2)12.2 (7.9)12.9 (8.0)H/O Lupus Nephritis, n (%)40 (80)38 (73)78 (76.5)On Baseline Steroids, n (%)18 (36)23 (44)41 (40)Prednisone Dose, mg, mean (SD)4.8 (2.7)3.3 (1.7)4.0 (2.3)MMF Duration, Years, mean (SD)6.8 (4.3)6.4 (4.3)6.6 (4.3)Baseline MMF Dose, mg, mean1,6121,6681,640SELENA-SLEDAI*, mean (SD)2.4 (1.76)1.9 (1.76)2.2 (1.77)Positive DsDNA, n (%)35 (70)27 (52)62 (61)Low C31, n (%)14 (28)9 (17)23 (23)Low C41, n (%)6 (12)5 (10)11 (11)Figure.Kaplan-Meier Estimates of Flare EndpointsDisclosure of Interests:Eliza Chakravarty: None declared, Tammy Utset: None declared, Diane L Kamen Consultant of: Consulted on SLE survey development for Lilly and consulted on SLE trial protocol development for EMD Serono in 2019, Gabriel Contreras Grant/research support from: Genentech, Merck, Consultant of: Genentech, Merck, William Joseph McCune: None declared, Kenneth C Kalunian: None declared, Cynthia Aranow: None declared, Megan Clowse Grant/research support from: GSK, Pfizer, Consultant of: UCB, Astra-Zeneca, Speakers bureau: UCB, Ellen Goldmuntz: None declared, Jessica Springer: None declared, Lynette Keyes-Elstein: None declared, Bill Barry: None declared, Ashley Pinckney: None declared, Judith James: None declared
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Clowse M, LI J, Birru Talabi M, Eudy A, Schmajuk G. FRI0510 THE FREQUENCY OF CONTRACEPTION DOCUMENTATION IN WOMEN ON AND OFF TERATOGENIC ANTI-RHEUMATIC MEDICATIONS IN THE RISE REGISTRY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.5762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Several of the most commonly prescribed medications for women with rheumatic disease are teratogens, posing a risk for pregnancy loss and birth defects if taken in pregnancy. To prevent these life-altering complications, it is important that all women taking teratogenic medications avoid pregnancy through abstinence or contraception.Objectives:We sought to understand the accessibility to contraceptive data within the RISE Registry and to test whether, compared to other women, those prescribed a teratogen would be more likely to have documentation of contraceptive.Methods:Data were derived from Rheumatology Informatics System for Effectiveness (RISE), a national EHR-enabled rheumatology registry that passively collects data on all patients seen by participating practices. As of 2018, RISE held validated data from 1,113 clinicians in 226 practices, representing an estimated 32% of the U.S. clinical rheumatology workforce. Female patients between the ages 18-45 with an anti-rheumatic medication prescribed within the RISE system in 2018 were stratified into one of 3 groups: 1) Any teratogen (methotrexate, mycophenolate, mycophenolic acid, cyclophosphamide, leflunomide, thalidomide, lenalidomide); 2) Only pregnancy-compatible medications (hydroxychloroquine, azathioprine, or a TNF-α inhibitors [TNFi]); and 3) Any medication with unknown teratogenicity (non-TNF biologics and new small molecule medications). We identified the most recent contraceptive medication or device reported in 2018 using structured fields in the EHR. Contraceptive effectiveness was classified as ‘highly effective’ (IUD, Nexplanon, and surgical) and ‘effective’ (oral contraceptives, depo-provera, patch, ring), and unknown (type not reported). Statistical significance was assessed using Stata SE 15.1.Results:In 2018, 110,359 women between the ages of 18-45 were prescribed an anti-rheumatic medication within the RISE Registry. Of these, 11,569 (10.5%) had a contraceptive documented at the last visit. The frequency of contraception documentation varied between practices, ranging from 0% to 28.7% (median 9.2%).Contraception was documented slightly less often in women receiving teratogens (9.8%) compared to women receiving only pregnancy-compatible medications (10.4%, p=0.04) and medications with unknown pregnancy risks (10.0%, p=0.67).The frequency of contraceptive documentation in women prescribed a teratogen varied significantly by race with white women having the highest rate (11.0%) compared to African-American women (7.4%, p<0.001), Hispanic women (5.5%, p<0.001), and Asian women (8.4%, p=0.08).The type of contraceptive documented did not vary significantly between medication group. Highly effective contraception was rarely documented (1.4-1.6%) and moderately-effective hormonal contraceptives were more frequently documented (6.3-8.2%).Conclusion:This study is limited to the analysis of structured fields within the RISE Registry, thereby missing contraceptive documentation within the clinician notes. Increased uniformity in documentation and/or analysis of visit notes will be essential to use the RISE Registry to study the implementation of published contraceptive guidelines. While the documentation of contraception identified in this analysis of the RISE Registry likely under-estimates actual contraceptive use, it reveals important gaps in care. Contrary to what was expected, women prescribed a teratogen were not more likely than other women to have a documented contraceptive. Additionally, important racial disparities in contraception documentation suggest that rheumatologists may not addressing reproductive health needs equally across patient populations.Acknowledgments Disclaimer:This data was supported by the ACR’s RISE Registry. However, the views expressed represent those of the authors, not necessarily those of the ACRDisclosure of Interests:Megan Clowse Grant/research support from: GSK, Pfizer, Consultant of: UCB, Astra-Zeneca, Speakers bureau: UCB, Jing Li: None declared, Mehret Birru Talabi: None declared, Amanda Eudy: None declared, Gabriela Schmajuk Grant/research support from: Pfizer
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Golenbiewski J, Young K, Burroughs C, Kullman J, Merkel P, Clowse M. 140. THE VASCULITIS PREGNANCY REGISTRY (VPREG): BASELINE INFORMATION FOR THE FIRST 3 YEARS. Rheumatology (Oxford) 2019. [DOI: 10.1093/rheumatology/kez059.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Harris N, Eudy A, Clowse M. Patient-Reported Disease Activity and Adverse Pregnancy Outcomes in Systemic Lupus Erythematosus and Rheumatoid Arthritis. Arthritis Care Res (Hoboken) 2019; 71:390-397. [DOI: 10.1002/acr.23621] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 06/12/2018] [Indexed: 01/23/2023]
Affiliation(s)
| | - Amanda Eudy
- Duke University Medical Center; Durham North Carolina
| | - Megan Clowse
- Duke University Medical Center; Durham North Carolina
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Eudy A, Siega-Riz AM, Engel S, Franceschini N, Howard AG, Clowse M, Petri M. 139. Disease flares during pregnancy and postpartum in patients with systemic lupus erythematosus. Pregnancy Hypertens 2018. [DOI: 10.1016/j.preghy.2018.08.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Bermas BL, Tassinari M, Clowse M, Chakravarty E. The new FDA labeling rule: impact on prescribing rheumatological medications during pregnancy. Rheumatology (Oxford) 2018; 57:v2-v8. [PMID: 30137587 PMCID: PMC6099131 DOI: 10.1093/rheumatology/key010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 01/11/2018] [Indexed: 12/30/2022] Open
Abstract
After several decades of deliberation, the US Food and Drug Administration updated the Pregnancy and Lactation Labeling Rule in 2015, eliminating the prior A, B, C, D, X grading system for medication use in pregnancy. Although physicians and patients liked the relative ease of use of this system, it was often misconstrued and not updated to include new data suggesting greater compatibility of medications with pregnancy. The new label is designed to include more clinically relevant data, including data from human studies and registries, and fewer animal data. A key goal of the new label is to assist physicians and patients as they weigh the risks and benefits of medications vs the risks of pregnancy in a woman with a chronic, untreated illness. As such, each label now includes a section outlining the pregnancy risks of the diseases that the medication treats. This review includes a historical perspective on the label change and a guide to the interpretation of the new label. It also includes an assessment of the baseline risk of pregnancy in women with SLE and RA, to help balance the consideration of medication risks and benefits in pregnancy.
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Affiliation(s)
- Bonnie L Bermas
- Division of Rheumatic Diseases, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Megan Clowse
- Division of Rheumatology and Immunology, Duke University Medical Center, Durham, NC
| | - Eliza Chakravarty
- Division of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
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Vinet E, Chakravarty EF, Simard JF, Clowse M. Use of Administrative Databases to Assess Reproductive Health Issues in Rheumatic Diseases. Rheum Dis Clin North Am 2018; 44:327-336. [DOI: 10.1016/j.rdc.2018.01.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Mollard E, Pedro S, Chakravarty E, Clowse M, Schumacher R, Michaud K. The impact of menopause on functional status in women with rheumatoid arthritis. Rheumatology (Oxford) 2018; 57:798-802. [DOI: 10.1093/rheumatology/kex526] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Elizabeth Mollard
- Nursing - Lincoln Division, University of Nebraska Medical Center, Lincoln, NE
| | - Sofia Pedro
- National Databank for Rheumatic Diseases, Wichita, KS
| | - Eliza Chakravarty
- Department of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK
| | - Megan Clowse
- Division of Rheumatology and Immunology, Duke University Medical Center, Durham, NC
| | | | - Kaleb Michaud
- National Databank for Rheumatic Diseases, Wichita, KS
- Division of Rheumatology and Immunology, University of Nebraska Medical Center, Omaha, NE, USA
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Yazdany J, Bansback N, Clowse M, Collier D, Law K, Liao KP, Michaud K, Morgan EM, Oates JC, Orozco C, Reimold A, Simard JF, Myslinski R, Kazi S. Rheumatology Informatics System for Effectiveness: A National Informatics-Enabled Registry for Quality Improvement. Arthritis Care Res (Hoboken) 2016; 68:1866-1873. [PMID: 27696755 PMCID: PMC5125872 DOI: 10.1002/acr.23089] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 08/30/2016] [Accepted: 09/13/2016] [Indexed: 01/17/2023]
Abstract
OBJECTIVE The Rheumatology Informatics System for Effectiveness (RISE) is a national electronic health record (EHR)-enabled registry. RISE passively collects data from EHRs of participating practices, provides advanced quality measurement and data analytic capacities, and fulfills national quality reporting requirements. Here we report the registry's architecture and initial data, and we demonstrate how RISE is being used to improve the quality of care. METHODS RISE is a certified Centers for Medicare and Medicaid Services Qualified Clinical Data Registry, allowing collection of data without individual patient informed consent. We analyzed data between October 1, 2014 and September 30, 2015 to characterize initial practices and patients captured in RISE. We also analyzed medication use among rheumatoid arthritis (RA) patients and performance on several quality measures. RESULTS Across 55 sites, 312 clinicians contributed data to RISE; 72% were in group practice, 21% in solo practice, and 7% were part of a larger health system. Sites contributed data on 239,302 individuals. Among the subset with RA, 34.4% of patients were taking a biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) at their last encounter, and 66.7% were receiving a nonbiologic DMARD. Examples of quality measures include that 55.2% had a disease activity score recorded, 53.6% a functional status score, and 91.0% were taking a DMARD in the last year. CONCLUSION RISE provides critical infrastructure for improving the quality of care in rheumatology and is a unique data source to generate new knowledge. Data validation and mapping are ongoing and RISE is available to the research and clinical communities to advance rheumatology.
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Affiliation(s)
- Jinoos Yazdany
- Department of Medicine, Division of Rheumatology, University of California, San Francisco
| | - Nick Bansback
- School of Population and Public Health, University of British Columbia
| | - Megan Clowse
- Department of Medicine, Division of Rheumatology & Immunology, Duke University
| | - Deborah Collier
- Department of Medicine, Division of Rheumatology, Massachusetts General Hospital
| | - Karen Law
- Department of Medicine, Division of Rheumatology, Emory University
| | - Katherine P. Liao
- Division of Rheumatology, Immunology, and Allergy, Brigham and Women’s Hospital
| | - Kaleb Michaud
- Division of Rheumatology and Immunology, Department of Medicine, University of Nebraska Medical Center and the National Data Bank for Rheumatic Diseases
| | - Esi M. Morgan
- Division of Rheumatology, James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center
| | - James C. Oates
- Department of Medicine, Division of Rheumatology, Medical University of South Carolina
| | | | - Andreas Reimold
- Rheumatology Section, Dallas Veterans Affairs Medical Center and University of Texas Southwestern Medical Center
| | - Julia F. Simard
- Division of Epidemiology, Department of Health Research and Policy, and Division of Immunology & Rheumatology, Department of Medicine, Stanford School of Medicine
| | | | - Salahuddin Kazi
- Division of Rheumatic Diseases, UT Southwestern Medical Center
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Fung KW, Richesson R, Smerek M, Pereira KC, Green BB, Patkar A, Clowse M, Bauck A, Bodenreider O. Preparing for the ICD-10-CM Transition: Automated Methods for Translating ICD Codes in Clinical Phenotype Definitions. EGEMS (Wash DC) 2016; 4:1211. [PMID: 27195309 PMCID: PMC4862764 DOI: 10.13063/2327-9214.1211] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Background: The national mandate for health systems to transition from ICD-9-CM to ICD-10-CM in October 2015 has an impact on research activities. Clinical phenotypes defined by ICD-9-CM codes need to be converted to ICD-10-CM, which has nearly four times more codes and a very different structure than ICD-9-CM. Methods: We used the Centers for Medicare & Medicaid Services (CMS) General Equivalent Maps (GEMs) to translate, using four different methods, condition-specific ICD-9-CM code sets used for pragmatic trials (n=32) into ICD-10-CM. We calculated the recall, precision, and F score of each method. We also used the ICD-9-CM and ICD-10-CM value sets defined for electronic quality measure as an additional evaluation of the mapping methods. Results: The forward-backward mapping (FBM) method had higher precision, recall and F-score metrics than simple forward mapping (SFM). The more aggressive secondary (SM) and tertiary mapping (TM) methods resulted in higher recall but lower precision. For clinical phenotype definition, FBM was the best (F=0.67), but was close to SM (F=0.62) and TM (F=0.60), judging on the F-scores alone. The overall difference between the four methods was statistically significant (one-way ANOVA, F=5.749, p=0.001). However, pairwise comparisons between FBM, SM, and TM did not reach statistical significance. A similar trend was found for the quality measure value sets. Discussion: The optimal method for using the GEMs depends on the relative importance of recall versus precision for a given use case. It appears that for clinically distinct and homogenous conditions, the recall of FBM is sufficient. The performance of all mapping methods was lower for heterogeneous conditions. Since code sets used for phenotype definition and quality measurement can be very similar, there is a possibility of cross-fertilization between the two activities. Conclusion: Different mapping approaches yield different collections of ICD-10-CM codes. All methods require some level of human validation.
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Affiliation(s)
| | | | | | | | | | - Ashwin Patkar
- Duke Clinical Research Institute; Duke University School of Medicine
| | | | - Alan Bauck
- Center for Health Research, Kaiser Permanente Northwest
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Eudy A, Siega-Riz A, Engel S, Franceschini N, Howard A, Clowse M, Petri M. FRI0387 Association of Pre-Pregnancy Body Mass Index with Preterm Birth and Birthweight Percentiles in Systemic Lupus Erythematosus. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.1802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Kavanaugh A, Cush JJ, Ahmed MS, Bermas BL, Chakravarty E, Chambers C, Clowse M, Curtis JR, Dao K, Hankins GDV, Koren G, Kim SC, Lapteva L, Mahadevan U, Moore T, Nolan M, Ren Z, Sammaritano LR, Seymour S, Weisman MH. Proceedings From the American College of Rheumatology Reproductive Health Summit: The Management of Fertility, Pregnancy, and Lactation in Women With Autoimmune and Systemic Inflammatory Diseases. Arthritis Care Res (Hoboken) 2015; 67:313-25. [DOI: 10.1002/acr.22516] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 11/04/2014] [Indexed: 01/31/2023]
Affiliation(s)
| | | | | | | | | | | | - Megan Clowse
- Duke University Medical Center; Durham North Carolina
| | | | | | | | - Gideon Koren
- The Hospital for Sick Children, Toronto; Ontario Canada
| | | | | | | | - Thomas Moore
- School of Medicine, University of California at San Diego
| | - Martha Nolan
- Society for Women's Health Research; Washington DC
| | - Zhaoxia Ren
- National Institute of Child Health and Human Development, National Institutes of Health; Bethesda Maryland
| | - Lisa R. Sammaritano
- Hospital for Special Surgery, Weill Medical College of Cornell University; New York New York
| | - Sally Seymour
- US Food and Drug Administration; Silver Spring Maryland
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Bonsignori M, Wiehe K, Grimm SK, Lynch R, Yang G, Kozink DM, Perrin F, Cooper AJ, Hwang KK, Chen X, Liu M, McKee K, Parks RJ, Eudailey J, Wang M, Clowse M, Criscione-Schreiber LG, Moody MA, Ackerman ME, Boyd SD, Gao F, Kelsoe G, Verkoczy L, Tomaras GD, Liao HX, Kepler TB, Montefiori DC, Mascola JR, Haynes BF. An autoreactive antibody from an SLE/HIV-1 individual broadly neutralizes HIV-1. J Clin Invest 2014; 124:1835-43. [PMID: 24614107 DOI: 10.1172/jci73441] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Accepted: 01/09/2014] [Indexed: 11/17/2022] Open
Abstract
Broadly HIV-1-neutralizing antibodies (BnAbs) display one or more unusual traits, including a long heavy chain complementarity-determining region 3 (HCDR3), polyreactivity, and high levels of somatic mutations. These shared characteristics suggest that BnAb development might be limited by immune tolerance controls. It has been postulated that HIV-1-infected individuals with autoimmune disease and defective immune tolerance mechanisms may produce BnAbs more readily than those without autoimmune diseases. In this study, we identified an HIV-1-infected individual with SLE who exhibited controlled viral load (<5,000 copies/ml) in the absence of controlling HLA phenotypes and developed plasma HIV-1 neutralization breadth. We collected memory B cells from this individual and isolated a BnAb, CH98, that targets the CD4 binding site (CD4bs) of HIV-1 envelope glycoprotein 120 (gp120). CH98 bound to human antigens including dsDNA, which is specifically associated with SLE. Anti-dsDNA reactivity was also present in the patient's plasma. CH98 had a mutation frequency of 25% and 15% nt somatic mutations in the heavy and light chain variable domains, respectively, a long HCDR3, and a deletion in the light chain CDR1. The occurrence of anti-dsDNA reactivity by a HIV-1 CD4bs BnAb in an individual with SLE raises the possibility that some BnAbs and SLE-associated autoantibodies arise from similar pools of B cells.
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MESH Headings
- Adult
- Amino Acid Sequence
- Antibodies, Antinuclear/blood
- Antibodies, Antinuclear/chemistry
- Antibodies, Antinuclear/genetics
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/chemistry
- Antibodies, Neutralizing/genetics
- Autoantibodies/blood
- Autoantibodies/chemistry
- Autoantibodies/genetics
- B-Lymphocytes/immunology
- Base Sequence
- DNA/genetics
- Female
- HIV Antibodies/blood
- HIV Antibodies/chemistry
- HIV Antibodies/genetics
- HIV Envelope Protein gp120/chemistry
- HIV Envelope Protein gp120/immunology
- HIV Infections/complications
- HIV Infections/immunology
- HIV Infections/virology
- HIV-1/immunology
- Humans
- Immunologic Memory
- Lupus Erythematosus, Systemic/complications
- Lupus Erythematosus, Systemic/immunology
- Models, Molecular
- Molecular Sequence Data
- Multiprotein Complexes/chemistry
- Mutation
- Protein Conformation
- Sequence Homology, Amino Acid
- Sequence Homology, Nucleic Acid
- Viral Load
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Gordon C, Clowse M, Houssiau F, Petri M, Kilgallen B, Kalunian K, Strand V, Bongardt S, Wallace DJ. THU0272 Epratuzumab Maintains Improvements in Disease Activity for Over 2 Years in Patients with Moderate-to-Severe Systemic Lupus Erythematosus: Results from an Open-Label Long-Term Extension Study (Sl0008). Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2013-eular.800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Clowse M, Wolf D, Förger F, Stach C, Kosutic G, Williams S, Terpstra I, Mahadevan U. FRI0176 Outcomes of pregnancy in subjects exposed to certolizumab pegol. Ann Rheum Dis 2013. [DOI: 10.1136/annrheumdis-2013-eular.1303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Mehta P, Holder S, Fisher B, Vincent T, Nadesalingam K, Maciver H, Shingler W, Bakshi J, Hassan S, D'Cruz D, Chan A, Litwic AE, McCrae F, Seth R, McCrae F, Nandagudi A, Jury E, Isenberg D, Karjigi U, Paul A, Rees F, O'Dowd E, Kinnear W, Johnson S, Lanyon P, Bakshi J, Stevens R, Narayan N, Marguerie C, Robinson H, Ffolkes L, Worsnop F, Ostlere L, Kiely P, Dharmapalaiah C, Hassan N, Nandagudi A, Bharadwaj A, Skibinska M, Gendi N, Davies EJ, Akil M, Kilding R, Ramachandran Nair J, Walsh M, Farrar W, Thompson RN, Borukhson L, McFadyen C, Singh D, Rajagopal V, Chan AML, Wearn Koh L, Christie JD, Croot L, Gayed M, Disney B, Singhal S, Grindulis K, Reynolds TD, Conway K, Williams D, Quin J, Dean G, Churchill D, Walker-Bone KE, Goff I, Reynolds G, Grove M, Patel P, Lazarus MN, Roncaroli F, Gabriel C, Kinderlerer AR, Nikiphorou E, Hall FC, Bruce E, Gray L, Krutikov M, Wig S, Bruce I, D'Agostino MA, Wakefield R, Berner Hammer H, Vittecoq O, Galeazzi M, Balint P, Filippucci E, Moller I, Iagnocco A, Naredo E, Ostergaard M, Gaillez C, Kerselaers W, Van Holder K, Le Bars M, Stone MA, Williams F, Wolber L, Karppinen J, Maatta J, Thompson B, Atchia I, Lorenzi A, Raftery G, Platt P, Platt PN, Pratt A, Turmezei TD, Treece GM, Gee AH, Poole KE, Chandratre PN, Roddy E, Clarson L, Richardson J, Hider S, Mallen C, Lieberman A, Prouse PJ, Mahendran P, Samarawickrama A, Churchill D, Walker-Bone KE, Ottery FD, Yood R, Wolfson M, Ang A, Riches P, Thomson J, Nuki G, Humphreys J, Verstappen SM, Chipping J, Hyrich K, Marshall T, Symmons DP, Roy M, Kirwan JR, Marshall RW, Matcham F, Scott IC, Rayner L, Hotopf M, Kingsley GH, Scott DL, Steer S, Ma MH, Dahanayake C, Scott IC, Kingsley G, Cope A, Scott DL, Dahanayake C, Ma MH, Scott IC, Kingsley GH, Cope A, Scott DL, Wernham A, Ward L, Carruthers D, Deeming A, Buckley C, Raza K, De Pablo P, Nikiphorou E, Carpenter L, Jayakumar K, Solymossy C, Dixey J, Young A, Singh A, Penn H, Ellerby N, Mattey DL, Packham J, Dawes P, Hider SL, Ng N, Humby F, Bombardieri M, Kelly S, Di Cicco M, Dadoun S, Hands R, Rocher V, Kidd B, Pyne D, Pitzalis C, Poore S, Hutchinson D, Low A, Lunt M, Mercer L, Galloway J, Davies R, Watson K, Dixon W, Symmons D, Hyrich K, Mercer L, Lunt M, Low A, Galloway J, Watson KD, Dixon WG, Symmons D, Hyrich KL, Low A, Lunt M, Mercer L, Bruce E, Dixon W, Hyrich K, Symmons D, Malik SP, Kelly C, Hamilton J, Heycock C, Saravanan V, Rynne M, Harris HE, Tweedie F, Skaparis Y, White M, Scott N, Samson K, Mercieca C, Clarke S, Warner AJ, Humphreys J, Lunt M, Marshall T, Symmons D, Verstappen S, Chan E, Kelly C, Woodhead FA, Nisar M, Arthanari S, Dawson J, Sathi N, Ahmad Y, Koduri G, Young A, Kelly C, Chan E, Ahmad Y, Woodhead FA, Nisar M, Arthanari S, Dawson J, Sathi N, Koduri G, Young A, Cumming J, Stannett P, Hull R, Metsios G, Stavropoulos Kalinoglou A, Veldhuijzen van Zanten JJ, Nightingale P, Koutedakis Y, Kitas GD, Nikiphorou E, Dixey J, Williams P, Kiely P, Walsh D, Carpenter L, Young A, Perry E, Kelly C, de-Soyza A, Moullaali T, Eggleton P, Hutchinson D, Veldhuijzen van Zanten JJ, Metsios G, Stavropoulos-Kalinoglou A, Sandoo A, Kitas GD, de Pablo P, Maggs F, Carruthers D, Faizal A, Pugh M, Jobanputra P, Kehoe O, Cartwright A, Askari A, El Haj A, Middleton J, Aynsley S, Hardy J, Veale D, Fearon U, Wilson G, Muthana M, Fossati G, Healy L, Nesbitt A, Becerra E, Leandro MJ, De La Torre I, Cambridge G, Nelson PN, Roden D, Shaw M, Davari Ejtehadi H, Nevill A, Freimanis G, Hooley P, Bowman S, Alavi A, Axford J, Veitch AM, Tugnet N, Rylance PB, Hawtree S, Muthana M, Aynsley S, Mark Wilkinson J, Wilson AG, Woon Kam N, Filter A, Buckley C, Pitzalis C, Bombardieri M, Croft AP, Naylor A, Zimmermann B, Hardie D, Desanti G, Jaurez M, Muller-Ladner U, Filer A, Neumann E, Buckley C, Movahedi M, Lunt M, Ray DW, Dixon WG, Burmester GR, Matucci-Cerinic M, Navarro-Blasco F, Kary S, Unnebrink K, Kupper H, Mukherjee S, Cornell P, Richards S, Rahmeh F, Thompson PW, Westlake SL, Javaid MK, Batra R, Chana J, Round G, Judge A, Taylor P, Patel S, Cooper C, Ravindran V, Bingham CO, Weinblatt ME, Mendelsohn A, Kim L, Mack M, Lu J, Baker D, Westhovens R, Hewitt J, Han C, Keystone EC, Fleischmann R, Smolen J, Emery P, Genovese M, Doyle M, Hsia EC, Hart JC, Lazarus MN, Kinderlerer AR, Harland D, Gibbons C, Pang H, Huertas C, Diamantopoulos A, Dejonckheere F, Clowse M, Wolf D, Stach C, Kosutic G, Williams S, Terpstra I, Mahadevan U, Smolen J, Emery P, Ferraccioli G, Samborski W, Berenbaum F, Davies O, Koetse W, Bennett B, Burkhardt H, Weinblatt ME, Fleischmann R, Davies O, Luijtens K, van der Heijde D, Mariette X, van Vollenhoven RF, Bykerk V, de Longueville M, Arendt C, Luijtens K, Cush J, Khan A, Maclaren Z, Dubash S, Chalam VC, Sheeran T, Price T, Baskar S, Mulherin D, Molloy C, Keay F, Heritage C, Douglas B, Fleischmann R, Weinblatt ME, Schiff MH, Khanna D, Furst DE, Maldonado MA, Li W, Sasso EH, Emerling D, Cavet G, Ford K, Mackenzie-Green B, Collins D, Price E, Williamson L, Golla J, Vagadia V, Morrison E, Tierney A, Wilson H, Hunter J, Ma MH, Scott DL, Reddy V, Moore S, Ehrenstein M, Benson C, Wray M, Cairns A, Wright G, Pendleton A, McHenry M, Taggart A, Bell A, Bosworth A, Cox M, Johnston G, Shah P, O'Brien A, Jones P, Sargeant I, Bukhari M, Nusslein H, Alten R, Galeazzi M, Lorenz HM, Boumpas D, Nurmohamed MT, Bensen W, Burmester GR, Peter HH, Rainer F, Pavelka K, Chartier M, Poncet C, Rauch C, Le Bars M, Lempp H, Hofmann D, Adu A, Congreve C, Dobson J, Rose D, Simpson C, Wykes T, Cope A, Scott DL, Ibrahim F, Schiff M, Alten R, Weinblatt ME, Nash P, Fleischmann R, Durez P, Kaine J, Delaet I, Kelly S, Maldonado M, Patel S, Genovese M, Jones G, Sebba A, Lepley D, Devenport J, Bernasconi C, Smart D, Mpofu C, Gomez-Reino JJ, Verma I, Kaur J, Syngle A, Krishan P, Vohra K, Kaur L, Garg N, Chhabara M, Gibson K, Woodburn J, Telfer S, Buckley F, Finckh A, Huizinga TW, Dejonckheere F, Jansen JP, Genovese M, Sebba A, Rubbert-Roth A, Scali JJ, Alten R, Kremer JM, Pitts L, Vernon E, van Vollenhoven RF, Sharif MI, Das S, Emery P, Maciver H, Shingler W, Helliwell P, Sokoll K, Vital EM. Case Reports * 1. A Late Presentation of Loeys-Dietz Syndrome: Beware of TGF Receptor Mutations in Benign Joint Hypermobility. Rheumatology (Oxford) 2013. [DOI: 10.1093/rheumatology/ket197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Tunks R, Clowse M, Brancazio L, Barker P. THE ROLE OF ANTI-RO/SSA ANTIBODY LEVEL IN CONGENITAL HEART BLOCK AND POSSIBLE BENEFIT OF MATERNAL THERAPY WITH ANTI-INFLAMMATORY AGENTS. J Am Coll Cardiol 2012. [DOI: 10.1016/s0735-1097(12)60766-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Clowse M, Barker P, Brancazio L. Cost-effectiveness of screening for congenital heart block in pregnancies at risk of neonatal lupus. Am J Obstet Gynecol 2006. [DOI: 10.1016/j.ajog.2006.10.754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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