1,285 results on '"A Jönsen"'
Search Results
2. PO.4.94 High B-cell polygenic risk is associated with dsDNA antibodies and nephritis in systemic lupus erythematosus
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S Reid, S Rantapää-Dahlqvist, D Leonard, L Rönnblom, Ø Molberg, A Rudin, K Lerang, C Sjöwall, A Jönsen, M Frodlund, A Bengtsson, J Sandling, A Sayadi, M Eloranta, E Skoglund, K Bolin, and A Hedenstedt
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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3. PO.7.150 Experience of daily activities among persons with systemic lupus erythematosus with cognitive symptom
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A Jönsen, AA Bengtsson, and A Sturesson Marklund
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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4. S15.2 Severe non-adherence to hydroxychloroquine is associated with flares, early damage, and mortality in systemic lupus erythematosus: data from 660 patients from the slicc inception cohort
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C Gordon, A Rahman, M Inanc, M Petri, DA Isenberg, S Jacobsen, S Bae, RF van Vollenhoven, S Lin, S Manzi, R Ramsey-Goldman, N Costedoat-Chalumeau, S Bernatsky, J Sanchez-Guerrero, C Aranow, G Ruiz-Irastorza, M MacKay, EM Ginzler, DD Gladman, MA Dooley, A Askanase, Y Nguyen, A Jönsen, IN Bruce, DJ Wallace, JG Hanly, J Buyon, JT Merrill, B Blanchet, MB Urowitz, J Romero-Dia, AE Clarke, PR Fortin, GS Alarcón, V Le Gurn, KC Kalunian, CA Peschken, and DL Kamen
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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5. PO.5.110 Plasma levels of osteopontin in SLE
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M Compagno, C Sjöwall, A Jönsen, A Bengtsson, C Lood, and B Gullstrand
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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6. PO.3.53 No evidence of a correlation between serum HCQ concentrations and QTc in SLE
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K Kultima, A Olsson, A Jönsen, AA Bengtsson, H Tydén, H Carlsson, and P Linge
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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7. PO.1.20 Prognostic biomarkers of organ damage in patients with newly diagnosed SLE
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D Leonard, E Svenungsson, I Gunnarsson, L Rönnblom, C Sjöwall, A Jönsen, AA Bengtsson, H Enocsson, and M Eloranta
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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8. PO.1.13 Plasma and cerebrospinal fluid neurofilament light concentrations reflect neuronal damage in systemic lupus erythematosus
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P Nilsson, A Jönsen, AA Bengtsson, B Gullstrand, O Hansson, KA Zervides, S Janelidze, J Nystedt, and PC Sundgren
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2022
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9. Anti-KIF20B autoantibodies are associated with cranial neuropathy in systemic lupus erythematosus.
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Krustev, Eugene, Hanly, John, Chin, Ricky, Buhler, Katherine, Urowitz, Murray, Gordon, Caroline, Bae, Sang-Cheol, Romero-Diaz, Juanita, Sánchez-Guerrero, Jorge, Bernatsky, Sasha, Wallace, Daniel, Isenberg, David, Rahman, Anisur, Merrill, Joan, Fortin, Paul, Gladman, Dafna, Bruce, Ian, Petri, Michelle, Ginzler, Ellen, Dooley, Mary, Ramsey-Goldman, Rosalind, Manzi, Susan, Jönsen, Andreas, Alarcón, Graciela, van Vollenhoven, Ronald, Aranow, Cynthia, Mackay, Meggan, Ruiz-Irastorza, Guillermo, Lim, Sam, Inanc, Murat, Kalunian, Kenneth, Jacobsen, Søren, Peschken, Christine, Kamen, Diane, Askenase, Anca, Buyon, Jill, Fritzler, Marvin, Clarke, Ann, and Choi, May
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Antibodies ,Autoantibodies ,Autoimmune Diseases ,Systemic Lupus Erythematosus ,Female ,Humans ,Male ,Autoantibodies ,Biomarkers ,Kinesins ,Lupus Erythematosus ,Systemic - Abstract
BACKGROUND: Cranial neuropathies (CN) are a rare neuropsychiatric SLE (NPSLE) manifestation. Previous studies reported that antibodies to the kinesin family member 20B (KIF20B) (anti-KIF20B) protein were associated with idiopathic ataxia and CN. We assessed anti-KIF20B as a potential biomarker for NPSLE in an international SLE inception cohort. METHODS: Individuals fulfilling the revised 1997 American College of Rheumatology (ACR) SLE classification criteria were enrolled from 31 centres from 1999 to 2011 and followed annually in the Systemic Lupus Erythematosus International Collaborating Clinics inception cohort. Anti-KIF20B testing was performed on baseline (within 15 months of diagnosis or first annual visit) samples using an addressable laser bead immunoassay. Logistic regression (penalised maximum likelihood and adjusting for confounding variables) examined the association between anti-KIF20B and NPSLE manifestations (1999 ACR case definitions), including CN, occurring over the first 5 years of follow-up. RESULTS: Of the 1827 enrolled cohort members, baseline serum and 5 years of follow-up data were available on 795 patients who were included in this study: 29.8% were anti-KIF20B-positive, 88.7% female, and 52.1% White. The frequency of anti-KIF20B positivity differed only for those with CN (n=10) versus without CN (n=785) (70.0% vs 29.3%; OR 5.2, 95% CI 1.4, 18.5). Compared with patients without CN, patients with CN were more likely to fulfil the ACR haematological (90.0% vs 66.1%; difference 23.9%, 95% CI 5.0%, 42.8%) and ANA (100% vs 95.7%; difference 4.3%, 95% CI 2.9%, 5.8%) criteria. In the multivariate analysis adjusting for age at baseline, female, White race and ethnicity, and ACR haematological and ANA criteria, anti-KIF20B positivity remained associated with CN (OR 5.2, 95% CI 1.4, 19.1). CONCLUSION: Anti-KIF20B is a potential biomarker for SLE-related CN. Further studies are needed to examine how autoantibodies against KIF20B, which is variably expressed in a variety of neurological cells, contribute to disease pathogenesis.
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- 2024
10. Low CD4 + T cell count is related to specific anti-nuclear antibodies, IFNα protein positivity and disease activity in systemic lupus erythematosus pregnancy
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Torell, Agnes, Stockfelt, Marit, Blennow, Kaj, Zetterberg, Henrik, Akhter, Tansim, Leonard, Dag, Rönnblom, Lars, Pihl, Sofia, Saleh, Muna, Sjöwall, Christopher, Strevens, Helena, Jönsen, Andreas, Bengtsson, Anders A., Trysberg, Estelle, Majczuk Sennström, Maria, Zickert, Agneta, Svenungsson, Elisabet, Gunnarsson, Iva, Bylund, Johan, Jacobsson, Bo, Rudin, Anna, and Lundell, Anna-Carin
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- 2024
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11. Altered medial temporal lobe subregion volumes in systemic lupus erythematosus patients with neuropsychiatric symptoms
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Z. Makdad Najeeb, P. C. Sundgren, A. Jönsen, K. Zervides, J. Lätt, T. Salomonsson, J. Nystedt, P. Nilsson, A. Bengtsson, G. Kuchcinski, and L. E. M. Wisse
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Systemic lupus erythematosus ,Neuropsychiatric lupus erythematosus ,Medial temporal lobe ,Hippocampus ,Brodmann Area 35 ,Entorhinal cortex ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Systemic lupus erythematosus (SLE) often presents with neuropsychiatric (NP) involvement, including cognitive impairment and depression. Past magnetic resonance imaging (MRI) research in SLE patients showed smaller hippocampal volumes but did not investigate other medial temporal lobe (MTL) regions. Our study aims to compare MTL subregional volumes in SLE patients to healthy individuals (HI) and explore MTL subregional volumes in relation to neuropsychiatric SLE (NPSLE) manifestations. Methods A total of 70 SLE patients and 25 HI underwent clinical evaluation, cognitive testing, and 3 tesla MRI imaging. T1-weighted MRI images were analyzed using the Automatic Segmentation of Hippocampal Subfields-T1 software. Analyses of Covariance were used to compare MTL subregion volumes between SLE and HI, and between NPSLE and non-NPSLE patients according to three models: the American College of Rheumatology (ACR) model defined by the ACR case definitions for NPSLE (n = 42), the more stringent Systemic Lupus International Collaborating Clinics (SLICC) B model (n = 21), and the most stringent SLICC A model (n = 15). Additionally, we explored the relation between MTL subregion volumes, cognitive functions, and depression scores in SLE patients using partial correlation analyses. Results Significantly smaller volumes of bilateral whole hippocampus, anterior hippocampus, posterior hippocampus, and Brodmann Area 35 were demonstrated in NPSLE compared to non-NPSLE patients according to the ACR model (p = 0.01, p = 0.03, p = 0.04, and p = 0.01 respectively). The differences did not reach significance according to the SLICC B and SLICC A models. No significant differences in MTL subregional volumes between SLE patients and HI were found. Partial correlation analyses showed a significant positive correlation between left Brodmann Area 35 volume and complex attention scores in SLE patients. No significant associations between MTL subregion volumes and depression scores were demonstrated. Conclusions NPSLE patients display significantly smaller volumes in various subregions of the MTL compared to non-NPSLE patients. These findings are suggestive of neuronal damage in MTL subregions in NPSLE patients on a group level.
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- 2025
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12. Association Between Severe Nonadherence to Hydroxychloroquine and Systemic Lupus Erythematosus Flares, Damage, and Mortality in 660 Patients From the SLICC Inception Cohort.
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Nguyen, Yann, Blanchet, Benoît, Urowitz, Murray, Hanly, John, Gordon, Caroline, Bae, Sang-Cheol, Romero-Diaz, Juanita, Sanchez-Guerrero, Jorge, Clarke, Ann, Bernatsky, Sasha, Wallace, Daniel, Isenberg, David, Rahman, Anisur, Merrill, Joan, Fortin, Paul, Gladman, Dafna, Bruce, Ian, Petri, Michelle, Ginzler, Ellen, Dooley, Mary, Ramsey-Goldman, Rosalind, Manzi, Susan, Jönsen, Andreas, Alarcón, Graciela, Van Vollenhoven, Ronald, Aranow, Cynthia, Le Guern, Véronique, Mackay, Meggan, Ruiz-Irastorza, Guillermo, Lim, S, Inanc, Murat, Jacobsen, Søren, Peschken, Christine, Kamen, Diane, Askanase, Anca, Buyon, Jill, Costedoat-Chalumeau, Nathalie, and Kalunian, Kenneth
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Humans ,Female ,Male ,Hydroxychloroquine ,Lupus Erythematosus ,Systemic ,Prednisone ,Immunosuppressive Agents ,Proportional Hazards Models - Abstract
OBJECTIVE: The goals of this study were to assess the associations of severe nonadherence to hydroxychloroquine (HCQ), objectively assessed by HCQ serum levels, and risks of systemic lupus erythematosus (SLE) flares, damage, and mortality rates over five years of follow-up. METHODS: The Systemic Lupus International Collaborating Clinics (SLICC) Inception Cohort is an international multicenter initiative (33 centers throughout 11 countries). The serum of patients prescribed HCQ for at least three months at enrollment were analyzed. Severe nonadherence was defined by a serum HCQ level
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- 2023
13. Assessing the Costs of Neuropsychiatric Disease in the Systemic Lupus International Collaborating Clinics Cohort Using Multistate Modeling.
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Clarke, Ann, Hanly, John, Urowitz, Murray, St Pierre, Yvan, Gordon, Caroline, Bae, Sang-Cheol, Romero-Diaz, Juanita, Sanchez-Guerrero, Jorge, Bernatsky, Sasha, Wallace, Daniel, Isenberg, David, Rahman, Anisur, Merrill, Joan, Fortin, Paul, Gladman, Dafna, Bruce, Ian, Petri, Michelle, Ginzler, Ellen, Dooley, Mary, Ramsey-Goldman, Rosalind, Manzi, Susan, Jönsen, Andreas, Alarcón, Graciela, Van Vollenhoven, Ronald, Aranow, Cynthia, Mackay, Meggan, Ruiz-Irastorza, Guillermo, Lim, S, Inanc, Murat, Kalunian, Kenneth, Jacobsen, Soren, Peschken, Christine, Kamen, Diane, Askanase, Anca, and Farewell, Vernon
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Humans ,Lupus Erythematosus ,Systemic ,Cerebrovascular Disorders ,Longitudinal Studies ,Ethnicity ,White - Abstract
OBJECTIVE: To estimate direct and indirect costs associated with neuropsychiatric (NP) events in the Systemic Lupus International Collaborating Clinics inception cohort. METHODS: NP events were documented annually using American College of Rheumatology definitions for NP events and attributed to systemic lupus erythematosus (SLE) or non-SLE causes. Patients were stratified into 1 of 3 NP states (no, resolved, or new/ongoing NP event). Change in NP status was characterized by interstate transition rates using multistate modeling. Annual direct costs and indirect costs were based on health care use and impaired productivity over the preceding year. Annual costs associated with NP states and NP events were calculated by averaging all observations in each state and adjusted through random-effects regressions. Five- and 10-year costs for NP states were predicted by multiplying adjusted annual costs per state by expected state duration, forecasted using multistate modeling. RESULTS: A total of 1,697 patients (49% White race/ethnicity) were followed for a mean of 9.6 years. NP events (n = 1,971) occurred in 956 patients, 32% attributed to SLE. For SLE and non-SLE NP events, predicted annual, 5-, and 10-year direct costs and indirect costs were higher in new/ongoing versus no events. Direct costs were 1.5-fold higher and indirect costs 1.3-fold higher in new/ongoing versus no events. Indirect costs exceeded direct costs 3.0 to 5.2 fold. Among frequent SLE NP events, new/ongoing seizure disorder and cerebrovascular disease accounted for the largest increases in annual direct costs. For non-SLE NP events, new/ongoing polyneuropathy accounted for the largest increase in annual direct costs, and new/ongoing headache and mood disorder for the largest increases in indirect costs. CONCLUSION: Patients with new/ongoing SLE or non-SLE NP events incurred higher direct and indirect costs.
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- 2023
14. Neutrophil gelatinase-associated lipocalin (NGAL) in lupus nephritis and beyond
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Elisabet Svenungsson, Iva Gunnarsson, Andreas Jönsen, Ting Wang, Anders A Bengtsson, Christian Lood, and Marina Barguil Macedo
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Immunologic diseases. Allergy ,RC581-607 - Abstract
Objectives To study neutrophil gelatinase-associated lipocalin (NGAL) levels in peripheral blood in SLE, and to propose a mechanism by which neutrophils secrete NGAL on stimulation with immune complexes (IC).Methods NGAL was measured by ELISA in two independent Swedish SLE cohorts acting as exploratory and validation cohort (n=124 and n=308, respectively), disease controls (n=38) and healthy controls (n=77). NGAL levels were measured in supernatant from IC-stimulated neutrophils in the presence or absence of a toll-like receptor 8 inhibitor (TLR8i).Results In the exploratory cohort, serum levels of NGAL were increased in patients with SLE as compared with healthy controls (p=0.021), and associated with histological-proven membranoproliferative lupus nephritis (LN) (p=0.018). In the validation cohort, plasma levels of NGAL were elevated in patients with a history of LN (p=0.0048), as well as in patients with SLE with secondary antiphospholipid syndrome (APS) compared with those without (p=0.0022). In both cohorts, NGAL was able to discriminate patients with a creatinine clearance
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- 2025
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15. Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes.
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Choi, May, Chen, Irene, Clarke, Ann, Fritzler, Marvin, Buhler, Katherine, Urowitz, Murray, Hanly, John, St-Pierre, Yvan, Gordon, Caroline, Bae, Sang-Cheol, Romero-Diaz, Juanita, Sanchez-Guerrero, Jorge, Bernatsky, Sasha, Wallace, Daniel, Isenberg, David, Rahman, Anisur, Merrill, Joan, Fortin, Paul, Gladman, Dafna, Bruce, Ian, Petri, Michelle, Ginzler, Ellen, Dooley, Mary, Ramsey-Goldman, Rosalind, Manzi, Susan, Jönsen, Andreas, Alarcón, Graciela, van Vollenhoven, Ronald, Aranow, Cynthia, Mackay, Meggan, Ruiz-Irastorza, Guillermo, Lim, Sam, Inanc, Murat, Kalunian, Kenneth, Jacobsen, Søren, Peschken, Christine, Kamen, Diane, Askanase, Anca, Buyon, Jill, Sontag, David, and Costenbader, Karen
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autoantibodies ,autoimmunity ,systemic lupus erythematosus ,Humans ,Autoantibodies ,Lupus Erythematosus ,Systemic ,Antibodies ,Antinuclear ,DNA ,Immunosuppressive Agents ,Machine Learning - Abstract
OBJECTIVES: A novel longitudinal clustering technique was applied to comprehensive autoantibody data from a large, well-characterised, multinational inception systemic lupus erythematosus (SLE) cohort to determine profiles predictive of clinical outcomes. METHODS: Demographic, clinical and serological data from 805 patients with SLE obtained within 15 months of diagnosis and at 3-year and 5-year follow-up were included. For each visit, sera were assessed for 29 antinuclear antibodies (ANA) immunofluorescence patterns and 20 autoantibodies. K-means clustering on principal component analysis-transformed longitudinal autoantibody profiles identified discrete phenotypic clusters. One-way analysis of variance compared cluster enrolment demographics and clinical outcomes at 10-year follow-up. Cox proportional hazards model estimated the HR for survival adjusting for age of disease onset. RESULTS: Cluster 1 (n=137, high frequency of anti-Smith, anti-U1RNP, AC-5 (large nuclear speckled pattern) and high ANA titres) had the highest cumulative disease activity and immunosuppressants/biologics use at year 10. Cluster 2 (n=376, low anti-double stranded DNA (dsDNA) and ANA titres) had the lowest disease activity, frequency of lupus nephritis and immunosuppressants/biologics use. Cluster 3 (n=80, highest frequency of all five antiphospholipid antibodies) had the highest frequency of seizures and hypocomplementaemia. Cluster 4 (n=212) also had high disease activity and was characterised by multiple autoantibody reactivity including to antihistone, anti-dsDNA, antiribosomal P, anti-Sjögren syndrome antigen A or Ro60, anti-Sjögren syndrome antigen B or La, anti-Ro52/Tripartite Motif Protein 21, antiproliferating cell nuclear antigen and anticentromere B). Clusters 1 (adjusted HR 2.60 (95% CI 1.12 to 6.05), p=0.03) and 3 (adjusted HR 2.87 (95% CI 1.22 to 6.74), p=0.02) had lower survival compared with cluster 2. CONCLUSION: Four discrete SLE patient longitudinal autoantibody clusters were predictive of long-term disease activity, organ involvement, treatment requirements and mortality risk.
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- 2023
16. Brain perfusion and blood-brain barrier permeability in systemic lupus erythematosus patients: Associations with disease activity, cognitive dysfunction, fatigue and pain
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Tim Salomonsson, Kristoffer A. Zervides, Andreas Jönsen, Malte Knutsson, Ronnie Wirestam, Jimmy Lätt, Anders A. Bengtsson, Linda Knutsson, and Pia C. Sundgren
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Systemic lupus erythematosus ,Brain perfusion ,Blood-brain barrier permeability ,Dynamic susceptibility contrast MRI ,Cognitive dysfunction ,Fatigue ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
High disease activity, cognitive dysfunction (CD), fatigue and pain negatively affect the quality of life in patients with systemic lupus erythematosus (SLE). However, the impact on brain perfusion and blood-brain barrier (BBB) permeability remains incompletely understood. Therefore, we utilized 3 T dynamic susceptibility contrast magnetic resonance imaging to investigate these factors in a cohort of 66 female SLE patients. Normalized leakage corrected cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and the BBB leakage parameter K2, were compared within the cohort by splitting the group into patients with and without each symptom respectively. Fourteen regions of interest were chosen, and the results were adjusted for age, disease duration, smoking and glucocorticoids. We found regional significant alterations in the different SLE subgroups compared to patients without each corresponding symptom, with patterns as follows: moderate to high disease activity (n = 17, decreased MTT, increased K2), CD in ≥1 domain (n = 36, decreased MTT, increased K2), CD in ≥2 domains (n = 20, increased CBF, CBV and K2), fatigue (n = 44, increased CBV and MTT), pain (n = 9, increased CBF and CBV, decreased MTT). Additionally, inverse correlations were found between cognitive scores and K2 in multiple areas, indicating increased BBB permeability with worse cognitive performance. To elucidate the underlying mechanisms, longitudinal studies should be conducted in a larger variation of patients, using different measurements of BBB disruption.
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- 2025
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17. Investigating the Potential to Offer Reproductive Organ Preserving Radical Cystectomy to More Female Bladder Cancer Patients
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Pappot, Nina, Maibom, Sophia Liff, Vejlgaard, Maja, and Joensen, Ulla Nordström
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- 2025
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18. An experimental, theoretical and kinetic modeling study of the N[formula omitted]O-H[formula omitted] system: Implications for N[formula omitted]O + H
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Glarborg, Peter, Fabricius-Bjerre, Eva, Joensen, Tor K., Hashemi, Hamid, and Klippenstein, Stephen J.
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- 2025
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19. Remission and low disease activity (LDA) prevent damage accrual in patients with systemic lupus erythematosus: results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort.
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Ugarte-Gil, Manuel, Hanly, John, Urowitz, Murray, Gordon, Caroline, Bae, Sang-Cheol, Romero-Diaz, Juanita, Sanchez-Guerrero, Jorge, Bernatsky, Sasha, Clarke, Ann, Wallace, Daniel, Isenberg, David, Rahman, Anisur, Merrill, Joan, Fortin, Paul, Gladman, Dafna, Bruce, Ian, Petri, Michelle, Ginzler, Ellen, Dooley, Mary, Ramsey-Goldman, Rosalind, Manzi, Susan, Jönsen, Andreas, van Vollenhoven, Ronald, Aranow, Cynthia, Mackay, Meggan, Ruiz-Irastorza, Guillermo, Lim, Sam, Inanc, Murat, Jacobsen, Søren, Peschken, Christine, Kamen, Diane, Askanase, Anca, Pons-Estel, Bernardo, Alarcón, Graciela, and Kalunian, Kenneth
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epidemiology ,outcome assessment ,health care ,systemic lupus erythematosus ,Antimalarials ,Disease Progression ,Female ,Humans ,Immunosuppressive Agents ,Lupus Erythematosus ,Systemic ,Male ,Prednisone ,Remission Induction ,Severity of Illness Index - Abstract
OBJECTIVE: To determine the independent impact of different definitions of remission and low disease activity (LDA) on damage accrual. METHODS: Patients with ≥2 annual assessments from a longitudinal multinational inception lupus cohort were studied. Five mutually exclusive disease activity states were defined: remission off-treatment: clinical Systemic Lupus Erythematosus Disease Activity Index (cSLEDAI)-2K=0, without prednisone or immunosuppressants; remission on-treatment: cSLEDAI-2K score=0, prednisone ≤5 mg/day and/or maintenance immunosuppressants; low disease activity Toronto cohort (LDA-TC): cSLEDAI-2K score of ≤2, without prednisone or immunosuppressants; modified lupus low disease activity (mLLDAS): Systemic Lupus Erythematosus Disease Activity Index-2K score of 4 with no activity in major organ/systems, no new disease activity, prednisone ≤7.5 mg/day and/or maintenance immunosuppressants; active: all remaining visits. Only the most stringent definition was used per visit. Antimalarials were allowed in all. The proportion of time that patients were in a specific state at each visit since cohort entry was determined. Damage accrual was ascertained with the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI). Univariable and multivariable generalised estimated equation negative binomial regression models were used. Time-dependent covariates were determined at the same annual visit as the disease activity state but the SDI at the subsequent visit. RESULTS: There were 1652 patients, 1464 (88.6%) female, mean age at diagnosis 34.2 (SD 13.4) years and mean follow-up time of 7.7 (SD 4.8) years. Being in remission off-treatment, remission on-treatment, LDA-TC and mLLDAS (per 25% increase) were each associated with a lower probability of damage accrual (remission off-treatment: incidence rate ratio (IRR)=0.75, 95% CI 0.70 to 0.81; remission on-treatment: IRR=0.68, 95% CI 0.62 to 0.75; LDA: IRR=0.79, 95% CI 0.68 to 0.92; and mLLDAS: IRR=0.76, 95% CI 0.65 to 0.89)). CONCLUSIONS: Remission on-treatment and off-treatment, LDA-TC and mLLDAS were associated with less damage accrual, even adjusting for possible confounders and effect modifiers.
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- 2022
20. Retinal toxicity in a multinational inception cohort of patients with systemic lupus on hydroxychloroquine
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Almeida-Brasil, Celline C, Hanly, John G, Urowitz, Murray, Clarke, Ann Elaine, Ruiz-Irastorza, Guillermo, Gordon, Caroline, Ramsey-Goldman, Rosalind, Petri, Michelle A, Ginzler, Ellen M, Wallace, Daniel J, Bae, Sang-Cheol, Romero-Diaz, Juanita, Dooley, Mary-Anne, Peschken, Christine, Isenberg, David, Rahman, Anisur, Manzi, Susan, Jacobsen, Søren, Lim, S Sam, van Vollenhoven, Ronald, Nived, Ola, Jönsen, Andreas, Kamen, Diane L, Aranow, Cynthia, Sánchez-Guerrero, Jorge, Gladman, Dafna D, Fortin, Paul R, Alarcon, Graciela S, Merrill, Joan T, Kalunian, Kenneth, Ramos-Casals, Manuel, Steinsson, Kristjan, Zoma, A, Askanase, Anca D, Khamashta, Munther, Bruce, Ian N, Inanc, Murat, Lukusa, Luck, and Bernatsky, Sasha
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Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Aging ,Prevention ,Autoimmune Disease ,Lupus ,Clinical Research ,Eye Disease and Disorders of Vision ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Eye ,Good Health and Well Being ,Humans ,Female ,Aged ,Male ,Hydroxychloroquine ,Antirheumatic Agents ,Lupus Erythematosus ,Systemic ,Retinal Diseases ,Chloroquine ,epidemiology ,lupus erythematosus ,systemic ,outcome assessment ,health care ,lupus erythematosus ,systemic ,outcome assessment ,health care ,Clinical sciences ,Immunology - Abstract
ObjectiveTo evaluate hydroxychloroquine (HCQ)-related retinal toxicity in the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort.MethodsData were collected at annual study visits between 1999 and 2019. We followed patients with incident SLE from first visit on HCQ (time zero) up to time of retinal toxicity (outcome), death, loss-to-follow-up or end of study. Potential retinal toxicity was identified from SLICC Damage Index scores; cases were confirmed with chart review. Using cumulative HCQ duration as the time axis, we constructed univariate Cox regression models to assess if covariates (ie, HCQ daily dose/kg, sex, race/ethnicity, age at SLE onset, education, body mass index, renal damage, chloroquine use) were associated with HCQ-related retinal toxicity.ResultsWe studied 1460 patients (89% female, 52% white). Retinal toxicity was confirmed in 11 patients (incidence 1.0 per 1000 person-years, 0.8% overall). Average cumulative time on HCQ in those with retinal toxicity was 7.4 (SD 3.2) years; the first case was detected 4 years after HCQ initiation. Risk of retinal toxicity was numerically higher in older patients at SLE diagnosis (univariate HR 1.05, 95% CI 1.01 to 1.09).ConclusionsThis is the first assessment of HCQ and retinal disease in incident SLE. We did not see any cases of retinopathy within the first 4 years of HCQ. Cumulative HCQ may be associated with increased risk. Ophthalmology monitoring (and formal assessment of cases of potential toxicity, by a retinal specialist) remains important, especially in patients on HCQ for 10+ years, those needing higher doses and those of older age at SLE diagnosis.
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- 2022
21. Longitudinal analysis of ANA in the Systemic Lupus International Collaborating Clinics (SLICC) Inception Cohort
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Choi, May Yee, Clarke, Ann Elaine, Urowitz, Murray, Hanly, John, St-Pierre, Yvan, Gordon, Caroline, Bae, Sang-Cheol, Romero-Diaz, Juanita, Sanchez-Guerrero, Jorge, Bernatsky, Sasha, Wallace, Daniel J, Isenberg, David, Rahman, Anisur, Merrill, Joan T, Fortin, Paul R, Gladman, Dafna D, Bruce, Ian N, Petri, Michelle, Ginzler, Ellen M, Dooley, Mary Anne, Ramsey-Goldman, Rosalind, Manzi, Susan, Jönsen, Andreas, Alarcón, Graciela S, van Vollenhoven, Ronald F, Aranow, Cynthia, Mackay, Meggan, Ruiz-Irastorza, Guillermo, Lim, Sam, Inanc, Murat, Kalunian, Ken, Jacobsen, Søren, Peschken, Christine, Kamen, Diane L, Askanase, Anca, Buyon, Jill P, Costenbader, Karen H, and Fritzler, Marvin J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Autoimmune Disease ,Lupus ,Antibodies ,Antinuclear ,Autoantibodies ,Cross-Sectional Studies ,Fluorescent Antibody Technique ,Indirect ,Humans ,Lupus Erythematosus ,Systemic ,Systemic Lupus Erythematosus ,Autoimmunity ,Immunology ,Public Health and Health Services ,Arthritis & Rheumatology ,Clinical sciences - Abstract
ObjectivesA perception derived from cross-sectional studies of small systemic lupus erythematosus (SLE) cohorts is that there is a marked discrepancy between antinuclear antibody (ANA) assays, which impacts on clinicians' approach to diagnosis and follow-up. We compared three ANA assays in a longitudinal analysis of a large international incident SLE cohort retested regularly and followed for 5 years.MethodsDemographic, clinical and serological data was from 805 SLE patients at enrolment, year 3 and 5. Two HEp-2 indirect immunofluorescence assays (IFA1, IFA2), an ANA ELISA, and SLE-related autoantibodies were performed in one laboratory. Frequencies of positivity, titres or absorbance units (AU), and IFA patterns were compared using McNemar, Wilcoxon and kappa statistics, respectively.ResultsAt enrolment, ANA positivity (≥1:80) was 96.1% by IFA1 (median titre 1:1280 (IQR 1:640-1:5120)), 98.3% by IFA2 (1:2560 (IQR 1:640-1:5120)) and 96.6% by ELISA (176.3 AU (IQR 106.4 AU-203.5 AU)). At least one ANA assay was positive for 99.6% of patients at enrolment. At year 5, ANA positivity by IFAs (IFA1 95.2%; IFA2 98.9%) remained high, while there was a decrease in ELISA positivity (91.3%, p91% agreement in ANA positivity at all time points and ≥71% agreement in IFA patterns between IFA1 and IFA2.ConclusionIn recent-onset SLE, three ANA assays demonstrated commutability with a high proportion of positivity and titres or AU. However, over 5 years follow-up, there was modest variation in ANA assay performance. In clinical situations where the SLE diagnosis is being considered, a negative test by either the ELISA or HEp-2 IFA may require reflex testing.
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- 2022
22. Characteristics associated with poor COVID-19 outcomes in individuals with systemic lupus erythematosus: data from the COVID-19 Global Rheumatology Alliance
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Ugarte-Gil, Manuel Francisco, Alarcón, Graciela S, Izadi, Zara, Duarte-García, Ali, Reátegui-Sokolova, Cristina, Clarke, Ann Elaine, Wise, Leanna, Pons-Estel, Guillermo J, Santos, Maria Jose, Bernatsky, Sasha, Ribeiro, Sandra Lúcia Euzébio, Al Emadi, Samar, Sparks, Jeffrey A, Hsu, Tiffany Y-T, Patel, Naomi J, Gilbert, Emily L, Valenzuela-Almada, Maria O, Jönsen, Andreas, Landolfi, Gianpiero, Fredi, Micaela, Goulenok, Tiphaine, Devaux, Mathilde, Mariette, Xavier, Queyrel, Viviane, Romão, Vasco C, Sequeira, Graca, Hasseli, Rebecca, Hoyer, Bimba, Voll, Reinhard E, Specker, Christof, Baez, Roberto, Castro-Coello, Vanessa, Ficco, Hernan Maldonado, Neto, Edgard Torres Reis, Ferreira, Gilda Aparecida Aparecida, Monticielo, Odirlei Andre André, Sirotich, Emily, Liew, Jean, Hausmann, Jonathan, Sufka, Paul, Grainger, Rebecca, Bhana, Suleman, Costello, Wendy, Wallace, Zachary S, Jacobsohn, Lindsay, Taylor, Tiffany, Ja, Clairissa, Strangfeld, Anja, Mateus, Elsa F, Hyrich, Kimme L, Carmona, Loreto, Lawson-Tovey, Saskia, Kearsley-Fleet, Lianne, Schäfer, Martin, Machado, Pedro M, Robinson, Philip C, Gianfrancesco, Milena, and Yazdany, Jinoos
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Lupus ,Emerging Infectious Diseases ,Women's Health ,Infectious Diseases ,Minority Health ,Autoimmune Disease ,Coronaviruses ,6.1 Pharmaceuticals ,Inflammatory and immune system ,Good Health and Well Being ,COVID-19 ,Humans ,Lupus Erythematosus ,Systemic ,Male ,Prednisone ,Rheumatology ,Severity of Illness Index ,lupus erythematosus ,systemic ,epidemiology ,Immunology ,Public Health and Health Services ,Arthritis & Rheumatology ,Clinical sciences - Abstract
AimTo determine characteristics associated with more severe outcomes in a global registry of people with systemic lupus erythematosus (SLE) and COVID-19.MethodsPeople with SLE and COVID-19 reported in the COVID-19 Global Rheumatology Alliance registry from March 2020 to June 2021 were included. The ordinal outcome was defined as: (1) not hospitalised, (2) hospitalised with no oxygenation, (3) hospitalised with any ventilation or oxygenation and (4) death. A multivariable ordinal logistic regression model was constructed to assess the relationship between COVID-19 severity and demographic characteristics, comorbidities, medications and disease activity.ResultsA total of 1606 people with SLE were included. In the multivariable model, older age (OR 1.03, 95% CI 1.02 to 1.04), male sex (1.50, 1.01 to 2.23), prednisone dose (1-5 mg/day 1.86, 1.20 to 2.66, 6-9 mg/day 2.47, 1.24 to 4.86 and ≥10 mg/day 1.95, 1.27 to 2.99), no current treatment (1.80, 1.17 to 2.75), comorbidities (eg, kidney disease 3.51, 2.42 to 5.09, cardiovascular disease/hypertension 1.69, 1.25 to 2.29) and moderate or high SLE disease activity (vs remission; 1.61, 1.02 to 2.54 and 3.94, 2.11 to 7.34, respectively) were associated with more severe outcomes. In age-adjusted and sex-adjusted models, mycophenolate, rituximab and cyclophosphamide were associated with worse outcomes compared with hydroxychloroquine; outcomes were more favourable with methotrexate and belimumab.ConclusionsMore severe COVID-19 outcomes in individuals with SLE are largely driven by demographic factors, comorbidities and untreated or active SLE. Patients using glucocorticoids also experienced more severe outcomes.
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- 2022
23. Unveiling transport mechanisms of cesium and water in operando zero-gap CO2 electrolyzers
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Joensen, Bjørt Óladóttir, Zamora Zeledón, José A., Trotochaud, Lena, Sartori, Andrea, Mirolo, Marta, Moss, Asger Barkholt, Garg, Sahil, Chorkendorff, Ib, Drnec, Jakub, Seger, Brian, and Xu, Qiucheng
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- 2024
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24. Early trajectories of virological and immunological biomarkers and clinical outcomes in patients admitted to hospital for COVID-19: an international, prospective cohort study
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Sahner, David, Tierney, John, Vogel, Susan E., Herpin, Betsey R., Smolskis, Mary C., McKay, Laura A., Cahill, Kelly, Crew, Page, Sardana, Ratna, Raim, Sharon Segal, Hensely, Lisa, Lorenzo, Johsua, Mock, Rebecca, Zuckerman, Judith, Atri, Negin, Miller, Mark, Vallee, David, Chung, Lucy, Kang, Nayon, Barrett, Kevin, Adam, Stacey J., Read, Sarah, Draghia-Akli, Ruxandra, Currier, Judy, Hughes, Eric, Harrigan, Rachel H., Amos, Laura, Carlsen, Amy, Carter, Anita, Collins, Gary, Davis, Bionca, Denning, Eileen, DuChene, Alain, Eckroth, Kate, Engen, Nicole, Frase, Alex, Gandits, Greg, Grund, Birgit, Harrison, Merrie, Hurlbut, Nancy, Kaiser, Payton, Koopmeiners, Joseph, Larson, Gregg, Meger, Sue, Mistry, Shweta Sharma, Murray, Thomas, Nelson, Ray, Quan, Kien, Quan, Siu Fun, Reilly, Cavan, Siegel, Lianne, Thompson, Greg, Vock, David, Walski, Jamie, Gelijns, Annetine C., Moskowitz, Alan J., Bagiella, Emilia, Moquete, Ellen, O'Sullivan, Karen, Marks, Mary E., Accardi, Evan, Kinzel, Emily, Burris, Sarah, Bedoya, Gabriela, Gupta, Lola, Overbey, Jessica R., Santos, Milerva, Gillinov, Marc A., Miller, Marissa A., Taddei-Peters, Wendy C., Fenton, Kathleen, Sandkovsky, Uriel, Gottlieb, Robert L., Mack, Michael, Berhe, Mezgebe, Haley, Clinton, Dishner, Emma, Bettacchi, Christopher, Golden, Kevin, Duhaime, Erin, Ryan, Madison, Tallmadge, Catherine, Estrada, Lorie, Jones, Felecia, Villa, Samatha, Wang, Samatha, Robert, Raven, Coleman, Tanquinisha, Clariday, Laura, Baker, Rebecca, Hurutado-Rodriguez, Mariana, Iram, Nazia, Fresnedo, Michelle, Davis, Allyson, Leonard, Kiara, Ramierez, Noelia, Thammavong, Jon, Duque, Krizia, Turner, Emma, Fisher, Tammy, Robinson, Dianna, Ransom, Desirae, Maldonado, Nicholas, Lusk, Erica, Killian, Aaron, Palacious, Adriana, Solis, Edilia, Jerrow, Janet, Watts, Matthew, Whitacre, Heather, Cothran, Elizabeth, Smith, Peter K., Barkauskas, Christina E., Vekstein, Andrew M., Ko, Emily R., Dreyer, Grace R., Stafford, Neil, Brooks, Megan, Der, Tatyana, Witte, Marie, Gamarallage, Ruwan, Franzone, John, Ivey, Noel, Lumsden, Rebecca H., Mosaly, Nilima, Mourad, Ahmaad, Holland, Thomas L., Motta, Mary, Lane, Kathleen, McGowan, Lauren M., Stout, Jennifer, Aloor, Heather, Bragg, Kennesha M., Toledo, Barvina, McLendon-Arvik, Beth, Bussadori, Barbara, Hollister, Beth A., Griffin, Michelle, Giangiacomo, Dana M., Rodriguez, Vicente, Bokhart, Gordon, Eichman, Sharon M., Parrino, Patrick E., Spindel, Stephen, Bansal, Aditya, Baumgarten, Katherine, Hand, Johnathan, Vonderhaar, Derek, Nossaman, Bobby, Sylvia Laudun, Ames, DeAnna, Broussard, Shane, Hernandez, Nilmo, Isaac, Geralyn, Dinh, Huan, Zheng, Yiling, Tran, Sonny, McDaniel, Hunter, Crovetto, Nicolle, Perin, Emerson, Costello, Briana, Manian, Prasad, Sohail, M. Rizwan, Postalian, Alexander, Hinsu, Punit, Watson, Carolyn, Chen, James, Fink, Melyssa, Sturgis, Lydia, Walker, Kim, Mahon, Kim, Parenti, Jennifer, Kappenman, Casey, Knight, Aryn, Sturek, Jeffrey M., Barros, Andrew, Enfield, Kyle B., Kadl, Alexandra, Green, China J., Simon, Rachel M., Fox, Ashley, Thornton, Kara, Adams, Amy, Badhwar, Vinay, Sharma, Sunil, Peppers, Briana, McCarthy, Paul, Krupica, Troy, Sarwari, Arif, Reece, Rebecca, Fornaresico, Lisa, Glaze, Chad, Evans, Raquel, Di, Fang, Carlson, Shawn, Aucremanne, Tanja, Tennant, Connie, Sutton, Lisa Giblin, Buterbaugh, Sabrina, Williams, Roger, Bunner, Robin, Traverse, Jay H., Rhame, Frank, Huelster, Joshua, Kethireddy, Rajesh, Davies, Irena, Salamanca, Julianne, Majeski, Christine, Skelton, Paige, Zarambo, Maria, Sarafolean, Andrea, Bowdish, Michael E., Borok, Zea, Wald-Dickler, Noah, Hutcheon, Douglass, Towfighi, Amytis, Lee, Mary, Lewis, Meghan R., Spellberg, Brad, Sher, Linda, Sharma, Aniket, Olds, Anna P., Justino, Chris, Loxano, Edward, Romero, Chris, Leong, Janet, Rodina, Valentina, Quesada, Christine, Hamilton, Luke, Escobar, Jose, Leshnower, Brad, Bender, William, Sharifpour, Milad, Miller, Jeffrey, Farrington, Woodrow, Baio, Kim T., McBride, Mary, Fielding, Michele, Mathewson, Sonya, Porte, Kristina, Maton, Missy, Ponder, Chari, Haley, Elisabeth, Spainhour, Christine, Rogers, Susan, Tyler, Derrick, Madathil, Ronson J., Rabin, Joseph, Levine, Andrea, Saharia, Kapil, Tabatabai, Ali, Lau, Christine, Gammie, James S., Peguero, Maya-Loren, McKernan, Kimberly, Audette, Mathew, Fleischmann, Emily, Akbari, Kreshta, Lee, Myounghee, Chi, Andrew, Salehi, Hanna, Pariser, Alan, Nyguyen, Phuong Tran, Moore, Jessica, Gee, Adrienne, Vincent, Shelika, Zuckerman, Richard A., Iribarne, Alexander, Metzler, Sara, Shipman, Samantha, Johnson, Haley, Newton, Crystallee, Parr, Doug, Miller, Leslie, Schelle, Beth, McLean, Sherry, Rothbaum, Howard R., Alvarez, Michael S., Kalan, Shivam P., Germann, Heather H., Hendershot, Jennifer, Moroney, Karen, Herring, Karen, Cook, Sharri, Paul, Pam, Walker-Ignasiak, Rebecca, North, Crystal, Oldmixon, Cathryn, Ringwood, Nancy, Muzikansky, Ariela, Morse, Richard, Fitzgerald, Laura, Morin, Haley D., Brower, Roy G., Reineck, Lora A., Bienstock, Karen, Steingrub, Jay H., Hou, Peter K., Steingrub, Jay S., Tidswell, Mark A., Kozikowski, Lori-Ann, Kardos, Cynthia, DeSouza, Leslie, Romain, Sarah, Thornton-Thompson, Sherell, Talmor, Daniel, Shapiro, Nathan, Andromidas, Konstantinos, Banner-Goodspeed, Valerie, Bolstad, Michael, Boyle, Katherine L., Cabrera, Payton, deVilla, Arnaldo, Ellis, Joshua C., Grafals, Ana, Hayes, Sharon, Higgins, Conor, Kurt, Lisa, Kurtzman, Nicholas, Redman, Kimberly, Rosseto, Elinita, Scaffidi, Douglas, Filbin, Michael R., Hibbert, Kathryn A., Parry, Blair, Margolin, Justin, Hillis, Brooklynn, Hamer, Rhonda, Brait, Kelsey, Beakes, Caroline, McKaig, Brenna, Kugener, Eleonore, Jones, Alan E., Galbraith, James, Nandi, Utsav, Peacock, Rebekah, Hendey, Gregory, Kangelaris, Kirsten, Ashktorab, Kimia, Gropper, Rachel, Agrawal, Anika, Yee, Kimberley J., Jauregui, Alejandra E., Zhuo, Hanjing, Almasri, Eyad, Fayed, Mohamed, Hubel, Kinsley A., Hughes, Alyssa R., Garcia, Rebekah L., Lim, George W., Chang, Steven Y., Lin, Michael Y., Vargas, Julia, Sihota, Hena, Beutler, Rebecca, Agarwal, Trisha, Wilson, Jennifer G., Vojnik, Rosemary, Perez, Cynthia, McDowell, Jordan H., Roque, Jonasel, Wang, Henry, Huebinger, Ryan M., Patel, Bela, Vidales, Elizabeth, Albertson, Timothy, Hardy, Erin, Harper, Richart, Moss, Marc A., Baduashvili, Amiran, Chauhan, Lakshmi, Douin, David J., Martinez, Flora, Finck, Lani L., Bastman, Jill, Howell, Michelle, Higgins, Carrie, McKeehan, Jeffrey, Finigan, Jay, Stubenrauch, Peter, Janssen, William J., Griesmer, Christine, VerBurg, Olivia, Hyzy, Robert C., Park, Pauline K., Nelson, Kristine, McSparron, Jake I., Co, Ivan N., Wang, Bonnie R., Jimenez, Jose, Olbrich, Norman, McDonough, Kelli, Jia, Shijing, Hanna, Sinan, Gong, Michelle N., Richardson, Lynne D., Nair, Rahul, Lopez, Brenda, Amosu, Omowunmi, Offor, Obiageli, Tzehaie, Hiwet, Nkemdirim, William, Boujid, Sabah, Mosier, Jarrod M., Hypes, Cameron, Campbell, Elizabeth Salvagio, Bixby, Billie, Gilson, Boris, Lopez, Anitza, Bime, Christian, Parthasarathy, Sairam, Cano, Ariana M., Hite, R. Duncan, Terndrup, Thomas E., Wiedemann, Herbert P., Hudock, Kristin, Tanzeem, Hammad, More, Harshada, Martinkovic, Jamie, Sellers, Susan, Houston, Judy, Burns, Mary, Kiran, Simra, Roads, Tammy, Kennedy, Sarah, Duggal, Abhijit, Thiruchelvam, Nirosshan, Ashok, Kiran, King, Alexander H., Mehkri, Omar, Dugar, Siddharth, Sahoo, Debasis, Yealy, Donald M., Angus, Derek C., Weissman, Alexandra J., Vita, Tina M., Berryman, Emily, Hough, Catherine L., Khan, Akram, Krol, Olivia F., Mills, Emmanuel, Kinjal, Mistry, Briceno, Genesis, Reddy, Raju, Hubel, Kinsley, Jouzestani, Milad K., McDougal, Madeline, Deshmukh, Rupali, Johnston, Nicholas J., Robinson, Bryce H., Gundel, Staphanie J., Katsandres, Sarah C., Chen, Peter, Torbati, Sam S., Parimon, Tanyalak, Caudill, Antonina, Mattison, Brittany, Jackman, Susan E., Chen, Po-En, Bayoumi, Emad, Ojukwu, Cristabelle, Fine, Devin, Weissberg, Gwendolyn, Isip, Katherine, Choi-Kuaea, Yunhee, Mehdikhani, Shaunt, Dar, Tahir B., Fleury Augustin, Nsole Biteghe, Tran, Dana, Dukov, Jennifer Emilow, Matusov, Yuri, Choe, June, Hindoyan, Niree A., Wynter, Timothy, Pascual, Ethan, Clapham, Gregg J., Herrera, Lisa, Caudill, Antonia, O’Mahony, D. Shane, Nyatsatsang, Sonam T., Wilson, David M., Wallick, Julie A., Duven, Alexandria M., Fletcher, Dakota D., Miller, Chadwick, Files, D. Clark, Gibbs, Kevin W., Flores, Lori S., LaRose, Mary E., Landreth, Leigha D., Palacios, D. Rafael, Parks, Lisa, Hicks, Madeline, Goodwin, Andrew J., Kilb, Edward F., Lematty, Caitlan T., Patti, Kerilyn, Grady, Abigail, Rasberry, April, Morris, Peter E., Sturgill, Jamie L., Cassity, Evan P., Dhar, Sanjay, Montgomery-Yates, Ashley A., Pasha, Sarah N., Mayer, Kirby P., Pharm.D., Brittany Bissel, Trott, Terren, Rehman, Shahnaz, de Wit, Marjolein, Mason, Jessica, Bledsoe, Joseph, Knowlton, Kirk U., Brown, Samuel, Lanspa, Michael, Leither, Lindsey, Pelton, Ithan, Armbruster, Brent P., Montgomery, Quinn, Kumar, Naresh, Fergus, Melissa, Imel, Karah, Palmer, Ghazal, Webb, Brandon, Klippel, Carolyn, Jensen, Hannah, Duckworth, Sarah, Gray, Andrew, Burke, Tyler, Knox, Dan, Lumpkin, Jenna, Aston, Valerie T., Applegate, Darrin, Serezlic, Erna, Brown, Katie, Merril, Mardee, Harris, Estelle S., Middleton, Elizabeth A., Barrios, Macy A.G., Greer, Jorden, Schmidt, Amber D., Webb, Melissa K., Paine, Roert, Callahan, Sean J., Waddoups, Lindsey J., Yamane, Misty B., Self, Wesley H., Rice, Todd W., Casey, Jonathan D., Johnson, Jakea, Gray, Christopher, Hays, Margaret, Roth, Megan, Menon, Vidya, Kasubhai, Moiz, Pillai, Anjana, Daniel, Jean, Sittler, Daniel, Kanna, Balavenkatesh, Jilani, Nargis, Amaro, Francisco, Santana, Jessica, Lyakovestsky, Aleksandr, Madhoun, Issa, Desroches, Louis Marie, Amadon, Nicole, Bahr, Alaa, Ezzat, Imaan, Guerrero, Maryanne, Padilla, Joane, Fullmer, Jessie, Singh, Inderpreet, Ali Shah, Syed Hamad, Narang, Rajeev, Mock, Polly, Shadle, Melissa, Hernandez, Brenda, Welch, Kevin, Payne, Andrea, Ertl, Gabriela, Canario, Daniel, Barrientos, Isabel, Goss, Danielle, DeVries, Mattie, Folowosele, Ibidolapo, Garner, Dorothy, Gomez, Mariana, Price, Justin, Bansal, Ekta, Wong, Jim, Faulhaber, Jason, Fazili, Tasaduq, Yeary, Brian, Ndolo, Ruth, Bryant, Christina, Smigeil, Bridgette, Robinson, Philip, Najjar, Rana, Jones, Patrice, Nguyen, Julie, Chin, Christina, Taha, Hassan, Najm, Salah, Smith, Christopher, Moore, Jason, Nassar, Talal, Gallinger, Nick, Christian, Amy, Mauer, D’Amber, Phipps, Ashley, Waters, Michael, Zepeda, Karla, Coslet, Jordan, Landazuri, Rosalynn, Pineda, Jacob, Uribe, Nicole, Garcia, Jose Ruiz, Barbabosa, Cecilia, Sandler, Kaitlyn, Overcash, J. Scott, Marquez, Adrienna, Chu, Hanh, Lee, Kia, Quillin, Kimberly, Garcia, Andrea, Lew, Pauline, Rogers, Ralph, Shehadeh, Fadi, Mylona, Evangelia K., Kaczynski, Matthew, Tran, Quynh-Lam, Benitez, Gregorio, Mishra, Biswajit, Felix, Lewis Oscar, Vafea, Maria Tsikala, Atalla, Eleftheria, Davies, Robin, Hedili, Salma, Monkeberg, Maria Andrea, Tabler, Sandra, Harrington, Britt, Meegada, Sreenath, Koripalli, Venkata Sandeep, Muddana, Prithvi, Jain, Lakshay, Undavalli, Chaitanya, Kavya, Parasa, Ibiwoye, Mofoluwaso, Akilo, Hameed, Lovette, Bryce D., Wylie, Jamie-Crystal, Smith, Diana M., Poon, Kenneth, Eckardt, Paula, Heysu, Rubio-Gomez, Sundararaman, Nithya, Alaby, Doris, Sareli, Candice, Sánchez, Adriana, Popielski, Laura, Kambo, Amy, Viens, Kimberley, Turner, Melissa, Vjecha, Michael J., Weintrob, Amy, Brar, Indira, Markowitz, Norman, Pastor, Erika, Corpuz, Roweena, Alangaden, George, McKinnon, John, Ramesh, Mayur, Herc, Erica, Yared, Nicholas, Lanfranco, Odaliz Abreu, Rivers, Emanuel, Swiderek, Jennifer, Gupta, Ariella Hodari, Pabla, Pardeep, Eliya, Sonia, Jazrawi, Jehan, Delor, Jeremy, Desai, Mona, Cook, Aaron, Jaehne, Anja Kathrina, Gill, Jasreen Kaur, Renaud, Sheri, Sarveswaran, Siva, Gardner, Edward, Scott, James, Bianchini, Monica, Melvin, Casey, Kim, Gina, Wyles, David, Kamis, Kevin, Miller, Rachel, Douglas, Ivor, Haukoos, Jason, Hicks, Carrie, Lazarte, Susana, Marines-Price, Rubria, Osuji, Alice, Agbor Agbor, Barbine Tchamba, Petersen, Tianna, Kamel, Dena, Hansen, Laura, Garcia, Angie, Cha, Christine, Mozaffari, Azadeh, Hernandez, Rosa, Cutrell, James, Kim, Mina, DellaValle, Natalie, Gonzales, Sonia, Somboonwit, Charurut, Oxner, Asa, Guerra, Lucy, Hayes, Michael, Nguyen, Thi, Tran, Thanh, Pinto, Avenette, Hatlen, Timothy, Anderson, Betty, Zepeda-Gutierrez, Ana, Martin, Dannae, Temblador, Cindi, Cuenca, Avon, Tanoviceanu, Roxanne, Prieto, Martha, Guerrero, Mario, Daar, Eric, Correa, Ramiro, Hartnell, Gabe, Wortmann, Glenn, Doshi, Saumil, Moriarty, Theresa, Gonzales, Melissa, Garman, Kristin, Baker, Jason V., Frosch, Anne, Goldsmith, Rachael, Driver, Brian, Frank, Christine, Leviton, Tzivia, Prekker, Matthew, Jibrell, Hodan, Lo, Melanie, Klaphake, Jonathan, Mackedanz, Shari, Ngo, Linh, Garcia-Myers, Kelly, Kunisaki, Ken M., Wendt, Chris, Melzer, Anne, Wetherbee, Erin, Drekonja, Dimitri, Pragman, Alexa, Hamel, Aimee, Thielen, Abbie, Hassler, Miranda, Walquist, Mary, Augenbraun, Michael, George, Jensen, Demeo, Lynette, Mishko, Motria, Thomas, Lorraine, Tatem, Luis, Dehovitz, Jack, Abassi, Mahsa, Leuck, Anne-Marie, Rao, Via, Pullen, Matthew, Luke, Darlette, LaBar, Derek, Christiansen, Theresa, Howard, Diondra, Biswas, Kousick, Harrington, Cristin, Garcia, Amanda, Bremer, Tammy, Burke, Tara, Koker, Brittany, Davis-Karim, Anne, Pittman, David, Vasudeva, Shikha S., Johnstone, Jaylynn R., Agnetti, Kate, Davis, Ruby, Trautner, Barbara, Hines-Munson, Casey, Van, John, Dillon, Laura, Wang, Yiqun, Nagy-Agren, Stephanie, Vasudeva, Shikha, Ochalek, Tracy, Caldwell, Erin, Humerickhouse, Edward, Boone, David, McGraw, William, Looney, David J., Mehta, Sanjay R., Johns, Scott Thompson, St. John, Melissa, Raceles, Jacqueline, Sear, Emily, Funk, Stephen, Cesarini, Rosa, Fang, Michelle, Nicalo, Keith, Drake, Wonder, Jones, Beatrice, Holtman, Teresa, Nguyen, Hien H., Maniar, Archana, Johnson, Eric A., Nguyen, Lam, Tran, Michelle T., Barrett, Thomas W., Johnston, Tera, Huggins, John T., Beiko, Tatsiana Y., Hughes, Heather Y., McManigle, William C., Tanner, Nichole T., Washburn, Ronald G., Ardelt, Magdalena, Tuohy, Patricia A., Mixson, Jennifer L., Hinton, Charles G., Thornley, Nicola, Allen, Heather, Elam, Shannon, Boatman, Barry, Baber, Brittany J., Ryant, Rudell, Roller, Brentin, Nguyen, Chinh, Mikail, Amani Morgan, Research, Marivic Hansen, Lichtenberger, Paola, Baracco, Gio, Ramos, Carol, Bjork, Lauren, Sueiro, Melyssa, Tien, Phyllis, Freasier, Heather, Buck, Theresa, Nekach, Hafida, Holodniy, Mark, Chary, Aarthi, Lu, Kan, Peters, Theresa, Lopez, Jessica, Tan, Susanna Yu, Lee, Robert H., Asghar, Aliya, Karyn Isip, Tasadduq Karim, Le, Katherine, Nguyen, Thao, Wong, Shinn, Raben, Dorthe, Murray, Daniel D., Jensen, Tomas O., Peters, Lars, Aagaard, Bitten, Nielsen, Charlotte B., Krapp, Katharina, Nykjær, Bente Rosdahl, Olsson, Christina, Kanne, Katja Lisa, Grevsen, Anne Louise, Joensen, Zillah Maria, Bruun, Tina, Bojesen, Ane, Woldbye, Frederik, Normand, Nick E., Esman, Frederik V.L., Benfield, Thomas, Clausen, Clara Lundetoft, Hovmand, Nichlas, Israelsen, Simone Bastrup, Iversen, Katrine, Leding, Caecilie, Pedersen, Karen Brorup, Thorlacius-Ussing, Louise, Tinggaard, Michaela, Tingsgard, Sandra, Krohn-Dehli, Louise, Pedersen, Dorthe, Villadsen, Signe, Staehr Jensen, Jens-Ulrik, Overgaard, Rikke, Rastoder, Ema, Heerfordt, Christian, Hedsund, Caroline, Ronn, Christian Phillip, Kamstrup, Peter Thobias, Hogsberg, Dorthe Sandbaek, Bergsoe, Christina, Søborg, Christian, Hissabu, Nuria M.S., Arp, Bodil C., Ostergaard, Lars, Staerke, Nina Breinholt, Yehdego, Yordanos, Sondergaard, Ane, Johansen, Isik S., Pedersen, Andreas Arnholdt, Knudtzen, Fredrikke C., Larsen, Lykke, Hertz, Mathias A., Fabricius, Thilde, Holden, Inge K., Lindvig, Susan O., Helleberg, Marie, Gerstoft, Jan, Kirk, Ole, Jensen, Tomas Ostergaard, Madsen, Birgitte Lindegaard, Pedersen, Thomas Ingemann, Harboe, Zitta Barrella, Roge, Birgit Thorup, Hansen, Thomas Michael, Glesner, Matilde Kanstrup, Lofberg, Sandra Valborg, Nielsen, Ariella Denize, Leicht von Huth, Sebastian, Nielsen, Henrik, Thisted, Rikke Krog, Petersen, Kristine Toft, Juhl, Maria Ruwald, Podlekareva, Daria, Johnsen, Stine, Andreassen, Helle Frost, Pedersen, Lars, Clara Ellinor Lindnér, Cecilia Ebba, Wiese, Lothar, Knudsen, Lene Surland, Skrøder Nytofte, Nikolaj Julian, Havmøller, Signe Ravn, Expósito, Maria, Badillo, José, Martínez, Ana, Abad, Elena, Chamorro, Ana, Figuerola, Ariadna, Mateu, Lourdes, España, Sergio, Lucero, Maria Constanza, Santos, José Ramón, Lladós, Gemma, Lopez, Cristina, Carabias, Lydia, Molina-Morant, Daniel, Loste, Cora, Bracke, Carmen, Siles, Adrian, Fernández-Cruz, Eduardo, Di Natale, Marisa, Padure, Sergiu, Gomez, Jimena, Ausin, Cristina, Cervilla, Eva, Balastegui, Héctor, Sainz, Carmen Rodríguez, Lopez, Paco, Carbone, Javier, Escobar, Mariam, Balerdi, Leire, Legarda, Almudena, Roldan, Montserrat, Letona, Laura, Muñoz, José, Camprubí, Daniel, Arribas, Jose R., Sánchez, Rocio Montejano, Díaz-Pollán, Beatriz, Stewart, Stefan Mark, Garcia, Irene, Borobia, Alberto, Mora-Rillo, Marta, Estrada, Vicente, Cabello, Noemi, Nuñez-Orantos, M.J., Sagastagoitia, I., Homen, J.R., Orviz, E., Montalvá, Adrián Sánchez, Espinosa-Pereiro, Juan, Bosch-Nicolau, Pau, Salvador, Fernando, Burgos, Joaquin, Morales-Rull, Jose Luis, Moreno Pena, Anna Maria, Acosta, Cristina, Solé-Felip, Cristina, Horcajada, Juan P., Sendra, Elena, Castañeda, Silvia, López-Montesinos, Inmaculada, Gómez-Junyent, Joan, Gonzáles, Carlota Gudiol, Cuervo, Guilermo, Pujol, Miquel, Carratalà, Jordi, Videla, Sebastià, Günthard, Huldrych, Braun, Dominique L., West, Emily, M’Rabeth-Bensalah, Khadija, Eichinger, Mareile L., Grüttner-Durmaz, Manuela, Grube, Christina, Zink, Veronika, pharmacist, Goes pharmacist, Josefine, Fätkenheuer, Gerd, Malin, Jakob J., Tsertsvadze, Tengiz, Abutidze, Akaki, Chkhartishvili, Nikoloz, Metchurtchlishvili, Revaz, Endeladze, Marina, Paciorek, Marcin, Bursa, Dominik, Krogulec, Dominika, Pulik, Piotr, Ignatowska, Anna, Horban, Andrzej, Bakowska, Elzbieta, Kowaska, Justyna, Bednarska, Agnieszka, Jurek, Natalia, Skrzat-Klapaczynska, Agata, Bienkowski, Carlo, Hackiewicz, Malgorzata, Makowiecki, Michal, Platowski, Antoni, Fishchuk, Roman, Kobrynska, Olena, Levandovska, Khrystyna, Kirieieva, Ivanna, Kuziuk, Mykhailo, Naucler, Pontus, Perlhamre, Emma, Mazouch, Lotta, Kelleher, Anthony, Polizzotto, Mark, Carey, Catherine, Chang, Christina C., Hough, Sally, Virachit, Sophie, Davidson, Sarah, Bice, Daniel J., Ognenovska, Katherine, Cabrera, Gesalit, Flynn, Ruth, Young, Barnaby E., Chia, Po Ying, Lee, Tau Hong, Lin, Ray J., Lye, David C., Ong, Sean W.X., Puah, Ser Hon, Yeo, Tsin Wen, Diong, Shiau Hui, Ongko, Juwinda, Yeo, He Ping, Eriobu, Nnakelu, Kwaghe, Vivian, Zaiyad, Habib, Idoko, Godwin, Uche, Blessing, Selvamuthu, Poongulali, Kumarasamy, Nagalingeswaran, Beulah, Faith Ester, Govindarajan, Narayan, Mariyappan, Kowsalya, Losso, Marcelo H., Abela, Cecilia, Moretto, Renzo, Belloc, Carlos G., Ludueña, Jael, Amar, Josefina, Toibaro, Javier, Macias, Laura Moreno, Fernandez, Lucia, Frare, Pablo S., Chaio, Sebastian R., Pachioli, Valeria, Timpano, Stella M., Sanchez, Marisa del Lujan, de Paz Sierra, Mariana, Stanek, Vanina, Belloso, Waldo, Cilenti, Flavia L., Valentini, Ricardo N., Stryjewski, Martin E., Locatelli, Nicolas, Soler Riera, Maria C., Salgado, Clara, Baeck, Ines M., Di Castelnuovo, Valentina, Zarza, Stella M., Hudson, Fleur, Parmar, Mahesh K.B., Goodman, Anna L., Dphil, Badrock, Jonathan, Gregory, Adam, Goodall, Katharine, Harris, Nicola, Wyncoll, James, Bhagani, S., Rodger, A., Luntiel, A., Patterson, C., Morales, J., Witele, E., Preston, A.-M., Nandani, A., Price, D.A., Hanrath, Aiden, Nell, Jeremy, Patel, Bijal, Hays, Carole, Jones, Geraldine, Davidson, Jade, Bawa, T., Mathews, M., Mazzella, A., Bisnauthsing, K., Aguilar-Jimenez, L., Borchini, F., Hammett, S., Touloumi, Giota, Pantazis, Nikos, Gioukari, Vicky, Souliou, Tania, Antoniadou, A., Protopapas, K., Kavatha, D., Grigoropoulou, S., Oikonomopoulo, C., Moschopoulos, C., Koulouris, N.G., Tzimopoulos, K., Koromilias, A., Argyraki, K., Lourida, P., Bakakos, P., Kalomenidis, I., Vlachakos, V., Barmparessou, Z., Balis, E., Zakynthinos, S., Sigala, I., Gianniou, N., Dima, E., Magkouta, S., Synolaki, E., Konstanta, S., Vlachou, M., Stathopoulou, P., Panagopoulos, P., Petrakis, V., Papazoglou, D., Tompaidou, E., Isaakidou, E., Poulakou, G., Rapti, V., Leontis, K., Nitsotolis, T., Athanasiou, K., Syrigos, K., Kyriakoulis, K., Trontzas, I., Arfara-Melanini, M., Kolonis, V., Kityo, Cissy, Mugerwa, Henry, Kiweewa, Francis, Kimuli, Ivan, Lukaakome, Joseph, Nsereko, Christoher, Lubega, Gloria, Kibirige, Moses, Nakahima, William, Wangi, Deus, Aguti, Evelyne, Generous, Lilian, Massa, Rosemary, Nalaki, Margaret, Magala, Felix, Nabaggala, Phiona Kaweesi, Kidega, Robert, Faith, Oryem Daizy, Florence, Apio, Emmanuel, Ocung, Beacham, Mugoonyi Paul, Geoffrey, Amone, Nakiboneka, Dridah, Apiyo, Paska, Kirenga, Bruce, Atukunda, Angella, Muttamba, Winters, Remmy, Kyeyume, Segawa, Ivan, Pheona, Nsubuga, Kigere, David, Mbabazi, Queen Lailah, Boersalino, Ledra, Nyakoolo, Grace, Fred, Aniongo, Alupo, Alice, Ebong, Doryn, Monday, Edson, Nalubwama, Ritah Norah, Kainja, Milton, Ambrose, Munu, Kwehayo, Vanon, Nalubega, Mary Grace, Ongoli, Augustine, Obbo, Stephen, Sebudde, Nicholus, Alaba, Jeniffer, Magombe, Geoffrey, Tino, Harriet, Obonya, Emmanuel, Lutaakome, Joseph, Kitonsa, Jonathan, Onyango, Martin, Naboth, Tukamwesiga, Naluyinda, Hadijah, Nanyunja, Regina, Irene, Muttiibwa, Jane, Biira, Wimfred, Kyobejja, Leonard, Ssemazzi, Deus, Tkiinomuhisha, Babra, Namasaba, Taire, Paul, Nabankema, Evelyn, Ogavu, Joseph, Mugerwa, Oscar, Okoth, Ivan, Mwebaze, Raymond, Mugabi, Timothy, Makhoba, Anthony, Arikiriza, Phiona, Theresa, Nabuuma, Nakayima, Hope, Frank, Kisuule, Ramgi, Patrícia, Pereira, Kássia, Osinusi, Anu, Cao, Huyen, Klekotka, Paul, Price, Karen, Nirula, Ajay, Osei, Suzette, Tipple, Craig, Wills, Angela, Peppercorn, Amanda, Watson, Helen, Gupta, Rajesh, Alexander, Elizabeth, Mogalian, Erik, Lin, Leo, Ding, Xiao, Margolis, David, Yan, Li, Girardet, Jean-Luc, Ma, Ji, Hong, Zhi, Zhu, Quing, Seegobin, Seth, Gibbs, Michael, Latchman, Mickel, Hasior, Katarzyna, Bouquet, Jerome, Wei, Jianxin, Streicher, Katie, Schmelzer, Albert, Brooks, Dennis, Butcher, Jonny, Tonev, Dimitar, Arbetter, Douglas, Damstetter, Philippe, Legenne, Philippe, Stumpp, Michael, Goncalves, Susana, Ramanathan, Krishnan, Chandra, Richa, Baseler, Beth, Teitelbaum, Marc, Schechner, Adam, Holley, H. Preston, Jankelevich, Shirley, Becker, Nancy, Dolney, Suzanne, Hissey, Debbie, Simpson, Shelly, Kim, Mi Ha, Beeler, Joy, Harmon, Liam, Asomah, Mabel, Jato, Yvonne, Stottlemyer, April, Tang, Olivia, Vanderpuye, Sharon, Yeon, Lindsey, Buehn, Molly, Eccard-Koons, Vanessa, Frary, Sadie, MacDonald, Leah, Cash, Jennifer, Hoopengardner, Lisa, Linton, Jessica, Schaffhauser, Marylu, Nelson, Michaela, Spinelli-Nadzam, Mary, Proffitt, Calvin, Lee, Christopher, Engel, Theresa, Fontaine, Laura, Osborne, C.K., Hohn, Matt, Galcik, Michael, Thompson, DeeDee, Kopka, Stacey, Shelley, Denise M., Mendez, Gregg, Brown, Shawn, Albert, Sara, Balde, Abby, Baracz, Michelle, Bielica, Mona, Billouin-Frazier, Shere, Choudary, Jay, Dixon, Mary, Eyler, Carolyn, Frye, Leanne, Gertz, Jensen, Giebeig, Lisa, Gulati, Neelam, Hankinson, Liz, Hogarty, Debi, Huber, Lynda, Krauss, Gary, Lake, Eileen, Manandhar, Meryan, Rudzinski, Erin, Sandrus, Jen, Suders, Connie, Natarajan, Ven, Rupert, Adam W., Baseler, Michael, Lynam, Danielle, Imamichi, Tom, Laverdure, Sylvain, McCormack, Ashley, Paudel, Sharada, Cook, Kyndal, Haupt, Kendra, Khan, Ayub, Hazen, Allison, Badralmaa, Yunden, Smith, Kenneth, Patel, Bhakti, Kubernac, Amanda, Kubernac, Robert, Hoover, Marie L., Solomon, Courtney, Rashid, Marium, Murphy, Joseph, Brown, Craig, DuChateau, Nadine, Ellis, Sadie, Flosi, Adam, Fox, Lisa, Johnson, Les, Nelson, Rich, Stojanovic, Jelena, Treagus, Amy, Wenner, Christine, Williams, Richard, Jensen, Tomas O, Murray, Thomas A, Grandits, Greg A, Jain, Mamta K, Shaw-Saliba, Kathryn, Matthay, Michael A, Baker, Jason V, Dewar, Robin L, Goodman, Anna L, Hatlen, Timothy J, Highbarger, Helene C, Lallemand, Perrine, Leshnower, Bradley G, Looney, David, Moschopoulos, Charalampos D, Murray, Daniel D, Mylonakis, Eleftherios, Rehman, M Tauseef, Rupert, Adam, Stevens, Randy, Turville, Stuart, Wick, Katherine, Lundgren, Jens, and Ko, Emily R
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- 2024
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25. Flares after hydroxychloroquine reduction or discontinuation: results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort
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Almeida-Brasil, Celline C, Hanly, John G, Urowitz, Murray, Clarke, Ann Elaine, Ruiz-Irastorza, Guillermo, Gordon, Caroline, Ramsey-Goldman, Rosalind, Petri, Michelle, Ginzler, Ellen M, Wallace, DJ, Bae, Sang-Cheol, Romero-Diaz, Juanita, Dooley, Mary Anne, Peschken, Christine, Isenberg, David, Rahman, Anisur, Manzi, Susan, Jacobsen, Søren, Lim, Sam, van Vollenhoven, Ronald F, Nived, Ola, Jönsen, Andreas, Kamen, Diane L, Aranow, Cynthia, Sanchez-Guerrero, Jorge, Gladman, Dafna D, Fortin, Paul R, Alarcón, Graciela S, Merrill, Joan T, Kalunian, Kenneth, Ramos-Casals, Manuel, Steinsson, Kristján, Zoma, Asad, Askanase, Anca, Khamashta, Munther A, Bruce, Ian N, Inanc, Murat, Abrahamowicz, Michal, and Bernatsky, Sasha
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Biomedical and Clinical Sciences ,Clinical Sciences ,Lupus ,Autoimmune Disease ,Clinical Research ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Adult ,Antirheumatic Agents ,Drug Tapering ,Female ,Follow-Up Studies ,Humans ,Hydroxychloroquine ,Lupus Erythematosus ,Systemic ,Male ,Middle Aged ,Prospective Studies ,Symptom Flare Up ,Treatment Outcome ,autoimmune diseases ,epidemiology ,hydroxychloroquine ,systemic lupus erythematosus ,Immunology ,Public Health and Health Services ,Arthritis & Rheumatology ,Clinical sciences - Abstract
ObjectivesTo evaluate systemic lupus erythematosus (SLE) flares following hydroxychloroquine (HCQ) reduction or discontinuation versus HCQ maintenance.MethodsWe analysed prospective data from the Systemic Lupus International Collaborating Clinics (SLICC) cohort, enrolled from 33 sites within 15 months of SLE diagnosis and followed annually (1999-2019). We evaluated person-time contributed while on the initial HCQ dose ('maintenance'), comparing this with person-time contributed after a first dose reduction, and after a first HCQ discontinuation. We estimated time to first flare, defined as either subsequent need for therapy augmentation, increase of ≥4 points in the SLE Disease Activity Index-2000, or hospitalisation for SLE. We estimated adjusted HRs (aHRs) with 95% CIs associated with reducing/discontinuing HCQ (vs maintenance). We also conducted separate multivariable hazard regressions in each HCQ subcohort to identify factors associated with flare.ResultsWe studied 1460 (90% female) patients initiating HCQ. aHRs for first SLE flare were 1.20 (95% CI 1.04 to 1.38) and 1.56 (95% CI 1.31 to 1.86) for the HCQ reduction and discontinuation groups, respectively, versus HCQ maintenance. Patients with low educational level were at particular risk of flaring after HCQ discontinuation (aHR 1.43, 95% CI 1.09 to 1.87). Prednisone use at time-zero was associated with over 1.5-fold increase in flare risk in all HCQ subcohorts.ConclusionsSLE flare risk was higher after HCQ taper/discontinuation versus HCQ maintenance. Decisions to maintain, reduce or stop HCQ may affect specific subgroups differently, including those on prednisone and/or with low education. Further study of special groups (eg, seniors) may be helpful.
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- 2022
26. Impact of glucocorticoids on the incidence of lupus-related major organ damage: a systematic literature review and meta-regression analysis of longitudinal observational studies
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Ugarte-Gil, Manuel Francisco, Mak, Anselm, Leong, Joanna, Dharmadhikari, Bhushan, Kow, Nien Yee, Reátegui-Sokolova, Cristina, Elera-Fitzcarrald, Claudia, Aranow, Cinthia, Arnaud, Laurent, Askanase, Anca D, Bae, Sang-Cheol, Bernatsky, Sasha, Bruce, Ian N, Buyon, Jill, Costedoat-Chalumeau, Nathalie, Dooley, Mary Ann, Fortin, Paul R, Ginzler, Ellen M, Gladman, Dafna D, Hanly, John, Inanc, Murat, Isenberg, David, Jacobsen, Soren, James, Judith A, Jönsen, Andreas, Kalunian, Kenneth, Kamen, Diane L, Lim, Sung Sam, Morand, Eric, Mosca, Marta, Peschken, Christine, Pons-Estel, Bernardo A, Rahman, Anisur, Ramsey-Goldman, Rosalind, Reynolds, John, Romero-Diaz, Juanita, Ruiz-Irastorza, Guillermo, Sánchez-Guerrero, Jorge, Svenungsson, Elisabet, Urowitz, Murray, Vinet, Evelyne, van Vollenhoven, Ronald F, Voskuyl, Alexandre, Wallace, Daniel J, Petri, Michelle A, Manzi, Susan, Clarke, Ann Elaine, Cheung, Mike, Farewell, Vernon, and Alarcon, Graciela S
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Biomedical and Clinical Sciences ,Clinical Sciences ,Autoimmune Disease ,Lupus ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Inflammatory and immune system ,Female ,Glucocorticoids ,Humans ,Incidence ,Longitudinal Studies ,Lupus Erythematosus ,Systemic ,Observational Studies as Topic ,Regression Analysis ,glucocorticoids ,outcome assessment ,health care ,lupus erythematosus ,systemic ,Clinical sciences ,Immunology - Abstract
In systemic lupus erythematosus (SLE), disease activity and glucocorticoid (GC) exposure are known to contribute to irreversible organ damage. We aimed to examine the association between GC exposure and organ damage occurrence. We conducted a literature search (PubMed (Medline), Embase and Cochrane January 1966-October 2021). We identified original longitudinal observational studies reporting GC exposure as the proportion of users and/or GC use with dose information as well as the occurrence of new major organ damage as defined in the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index. Meta-regression analyses were performed. Reviews, case-reports and studies with
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- 2021
27. Anti-KIF20B autoantibodies are associated with cranial neuropathy in systemic lupus erythematosus
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Joan T Merrill, Ronald F van Vollenhoven, Daniel J Wallace, Susan Manzi, Cynthia Aranow, Anca Askenase, Michelle A Petri, Jill Buyon, Rosalind Ramsey-Goldman, Ian N Bruce, Guillermo Ruiz-Irastorza, Ellen M Ginzler, Graciela S Alarcón, John G Hanly, Murray B Urowitz, Juanita Romero-Diaz, Caroline Gordon, Sang-Cheol Bae, Anisur Rahman, Mary Anne Dooley, Paul R Fortin, Meggan Mackay, Andreas Jönsen, Sam Lim, Murat Inanc, Diane L Kamen, Christine A Peschken, Søren Jacobsen, Jorge Sanchez-Guerrero, David Isenberg, Marvin J Fritzler, Ann E Clarke, Sasha Bernatsky, Kenneth C Kalunian, Eugene Krustev, May Y Choi, Katherine A Buhler, and Ricky Chin
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Immunologic diseases. Allergy ,RC581-607 - Abstract
Background Cranial neuropathies (CN) are a rare neuropsychiatric SLE (NPSLE) manifestation. Previous studies reported that antibodies to the kinesin family member 20B (KIF20B) (anti-KIF20B) protein were associated with idiopathic ataxia and CN. We assessed anti-KIF20B as a potential biomarker for NPSLE in an international SLE inception cohort.Methods Individuals fulfilling the revised 1997 American College of Rheumatology (ACR) SLE classification criteria were enrolled from 31 centres from 1999 to 2011 and followed annually in the Systemic Lupus Erythematosus International Collaborating Clinics inception cohort. Anti-KIF20B testing was performed on baseline (within 15 months of diagnosis or first annual visit) samples using an addressable laser bead immunoassay. Logistic regression (penalised maximum likelihood and adjusting for confounding variables) examined the association between anti-KIF20B and NPSLE manifestations (1999 ACR case definitions), including CN, occurring over the first 5 years of follow-up.Results Of the 1827 enrolled cohort members, baseline serum and 5 years of follow-up data were available on 795 patients who were included in this study: 29.8% were anti-KIF20B-positive, 88.7% female, and 52.1% White. The frequency of anti-KIF20B positivity differed only for those with CN (n=10) versus without CN (n=785) (70.0% vs 29.3%; OR 5.2, 95% CI 1.4, 18.5). Compared with patients without CN, patients with CN were more likely to fulfil the ACR haematological (90.0% vs 66.1%; difference 23.9%, 95% CI 5.0%, 42.8%) and ANA (100% vs 95.7%; difference 4.3%, 95% CI 2.9%, 5.8%) criteria. In the multivariate analysis adjusting for age at baseline, female, White race and ethnicity, and ACR haematological and ANA criteria, anti-KIF20B positivity remained associated with CN (OR 5.2, 95% CI 1.4, 19.1).Conclusion Anti-KIF20B is a potential biomarker for SLE-related CN. Further studies are needed to examine how autoantibodies against KIF20B, which is variably expressed in a variety of neurological cells, contribute to disease pathogenesis.
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- 2024
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28. P145 Circulating interferon-α levels are elevated during pregnancy in women with SLE who deliver infants that are small for gestational age, preterm and/or have low birth weight
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Henrik Zetterberg, Kaj Blennow, Elisabet Svenungsson, Iva Gunnarsson, Agneta Zickert, Lars Rönnblom, Andreas Jönsen, Christopher Sjöwall, Dag Leonard, Anders A Bengtsson, Estelle Trysberg, Muna Saleh, Anna Rudin, Marit Stockfelt, Helena Strevens, Bo Jacobsson, Anna-Carin Lundell, Agnes Torell, Tansim Akhter, Sofia Pihl, and Maria Majcuk Sennström
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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29. O10 Ischemic stroke subtypes in SLE-associations with a STAT4 risk genotype
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Elisabet Svenungsson, Iva Gunnarsson, Johanna T Gustafsson, Agneta Zickert, Lars Rönnblom, Andreas Jönsen, Dag Leonard, Ann-Christine Syvänen, Johanna K Sandling, Gunnel Nordmark, Anders A Bengtsson, Magnus Andersson, Kerstin Elvin, Liisa Hopia, and Anna Laveskog
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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30. P13 Acquired ficolin-3 deficiency in patients with systemic lupus erythematosus
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Elisabet Svenungsson, Iva Gunnarsson, Lars Rönnblom, Andreas Jönsen, Christopher Sjöwall, Solbritt Rantapää-Dahlqvist, Dag Leonard, Johanna K Sandling, Anders A Bengtsson, Bo Nilsson, Helena Enocsson, Matteo Bianchi, Kerstin Lindblad-Toh, Sergey V Kozyrev, Lina-Marcela Diaz-Gallo, Christian Lundtoft, Ahmed Sayadi, Linnea Lindelöf, Mun-Gwan Hong, Kristina Nilsson Ekdahl, and Oskar Eriksson
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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31. P59 Systemic disease activity as a driver of neuronal affliction in SLE: a longitudinal study
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Andreas Jönsen, Oskar Hansson, Anders A Bengtsson, Pia C Sundgren, Birgitta Gullstrand, Shorena Janelidze, Kristoffer A Zervides, Elsa Grenmyr, Jessika Nystedt, and Petra C Nilsson
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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32. P146 Low CD4+ T cell count is related to specific anti-nuclear antibodies, IFNα protein positivity and disease activity in systemic lupus erythematosus pregnancy
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Henrik Zetterberg, Kaj Blennow, Elisabet Svenungsson, Iva Gunnarsson, Agneta Zickert, Lars Rönnblom, Andreas Jönsen, Christopher Sjöwall, Dag Leonard, Anders A Bengtsson, Estelle Trysberg, Muna Saleh, Anna Rudin, Marit Stockfelt, Helena Strevens, Bo Jacobsson, Johan Bylund, Anna-Carin Lundell, Agnes Torell, Tansim Akhter, Sofia Pihl, and Maria Majcuk Sennström
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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33. O4 Clinical characteristics of patients with high SLE-specific and high multitrait polygenic risk – An investigation of SLE risk loci
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Lars Rönnblom, Andreas Jönsen, Sarah Reid, Christopher Sjöwall, Solbritt Rantapää-Dahlqvist, Øyvind Molberg, Dag Leonard, Maija-Leena Eloranta, Martina Frodlund, Anders A Bengtsson, Karoline Lerang, Anna Rudin, Ahmed Sayadi, and Nina Oparina
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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34. O16 pQTL analysis of ficolin-3 activity reveals a link between the lectin pathway of complement and hematological disease manifestations in systemic lupus erythematosus
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Elisabet Svenungsson, Iva Gunnarsson, Lars Rönnblom, Andreas Jönsen, Christopher Sjöwall, Solbritt Rantapää-Dahlqvist, Dag Leonard, Johanna K Sandling, Anders A Bengtsson, Bo Nilsson, Helena Enocsson, Matteo Bianchi, Kerstin Lindblad-Toh, Sergey V Kozyrev, Lina-Marcela Diaz-Gallo, Christian Lundtoft, Ahmed Sayadi, Linnea Lindelöf, Mun-Gwan Hong, Kristina Nilsson Ekdahl, and Oskar Eriksson
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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35. P40 Medial temporal lobe subregion volumes in systemic lupus erythematosus patients
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Andreas Jönsen, Anders Bengtsson, Gregory Kuchcinski, Pia C Sundgren, Petra C Nilsson, Zahra M Najeeb, Kristoffer Zervides, Tim Salomonsson, and Laura Wisse
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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36. O6 Epidemiology of moderate-to-severe SLE in Sweden
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Andreas Jönsen, Dag Leonard, Martina Frodlund, Fabian Söderdahl, Thomas Haugli-Stephens, Lauren Remkus, and Daniel Eek
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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37. O18 Data-driven clustering of cerebrospinal fluid proteome reflects clinical phenotypes of systemic lupus erythematosus
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Andreas Jönsen, Robin Kahn, Anders A Bengtsson, Pia C Sundgren, Birgitta Gullstrand, Elsa Grenmyr, Jessika Nystedt, Petra C Nilsson, Kristoffer Zervides, Seyed Morteza Najibi, and Charlotte Welinder
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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38. P77 Identification of a cluster of SLE risk loci associated with levels of multiple blood biomarkers in the general population – Implication for SLE sub-phenotypes
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Lars Rönnblom, Andreas Jönsen, Sarah Reid, Christopher Sjöwall, Solbritt Rantapää-Dahlqvist, Øyvind Molberg, Dag Leonard, Maija-Leena Eloranta, Martina Frodlund, Anders A Bengtsson, Karoline Lerang, Anna Rudin, Ahmed Sayadi, and Nina Oparina
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Immunologic diseases. Allergy ,RC581-607 - Published
- 2024
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39. Low-density granulocytes are related to shorter pregnancy duration but not to interferon alpha protein blood levels in systemic lupus erythematosus
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Torell, Agnes, Stockfelt, Marit, Larsson, Gunilla, Blennow, Kaj, Zetterberg, Henrik, Leonard, Dag, Rönnblom, Lars, Saleh, Muna, Sjöwall, Christopher, Strevens, Helena, Jönsen, Andreas, Bengtsson, Anders A., Trysberg, Estelle, Sennström, Maria Majcuk, Zickert, Agneta, Svenungsson, Elisabet, Gunnarsson, Iva, Christenson, Karin, Bylund, Johan, Jacobsson, Bo, Rudin, Anna, and Lundell, Anna-Carin
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- 2023
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40. Lower vitamin D is associated with metabolic syndrome and insulin resistance in systemic lupus: data from an international inception cohort.
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Chew, Christine, Reynolds, John A, Lertratanakul, Apinya, Wu, Peggy, Urowitz, Murray, Gladman, Dafna D, Fortin, Paul R, Bae, Sang-Cheol, Gordon, Caroline, Clarke, Ann E, Bernatsky, Sasha, Hanly, John G, Isenberg, David, Rahman, Anisur, Sanchez-Guerrero, Jorge, Romero-Diaz, Juanita, Merrill, Joan, Wallace, Daniel, Ginzler, Ellen, Khamashta, Munther, Nived, Ola, Jönsen, Andreas, Steinsson, Kristjan, Manzi, Susan, Kalunian, Ken, Dooley, Mary Anne, Petri, Michelle, Aranow, Cynthia, van Vollenhoven, Ronald, Stoll, Thomas, Alarcón, Graciela S, Lim, S Sam, Ruiz-Irastorza, Guillermo, Peschken, Christine A, Askanase, Anca D, Kamen, Diane L, İnanç, Murat, Ramsey-Goldman, Rosalind, and Bruce, Ian N
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Cardiovascular ,Diabetes ,Clinical Research ,Autoimmune Disease ,Lupus ,Nutrition ,Metabolic and endocrine ,Adult ,Cohort Studies ,Cross-Sectional Studies ,Female ,Global Health ,Humans ,Insulin Resistance ,Lupus Erythematosus ,Systemic ,Male ,Metabolic Syndrome ,Vitamin D ,Vitamin D Deficiency ,Young Adult ,systemic lupus erythematosus ,vitamin D ,cardiovascular disease ,epidemiology ,Clinical Sciences ,Immunology ,Public Health and Health Services ,Arthritis & Rheumatology - Abstract
ObjectivesVitamin D (25(OH)D) deficiency and metabolic syndrome (MetS) may both contribute to increased cardiovascular risk in SLE. We aimed to examine the association of demographic factors, SLE phenotype, therapy and vitamin D levels with MetS and insulin resistance.MethodsThe Systemic Lupus International Collaborating Clinics (SLICC) enrolled patients recently diagnosed with SLE (
- Published
- 2021
41. DaBlaCa-16: Retrosigmoid Versus Conventional Ileal Conduit in Robot-assisted Radical Cystectomy, the MOSAIC Randomized Controlled Trial—Feasibility and 90-day Postoperative Complications
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Brandt, Simone Buchardt, Körner, Stefanie Korsgaard, Milling, Rikke Vilsbøll, Nielsen, Ninna Kjær, Kingo, Pernille Skjold, Joensen, Ulla Nordström, Bro, Lasse, Jensen, Thor Knak, Livbjerg, Astrid Helene, Fabrin, Knud, Vrang, Marie-Louise, Vangedal, Michael, Lam, Gitte Wrist, and Jensen, Jørgen Bjerggaard
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- 2024
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42. A survey of ficolin-3 activity in Systemic Lupus Erythematosus reveals a link to hematological disease manifestations and autoantibody profile
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Lindelöf, Linnea, Rantapää-Dahlqvist, Solbritt, Lundtoft, Christian, Sandling, Johanna K., Leonard, Dag, Sayadi, Ahmed, Rönnblom, Lars, Enocsson, Helena, Sjöwall, Christopher, Jönsen, Andreas, Bengtsson, Anders A., Hong, Mun-Gwan, Diaz-Gallo, Lina-Marcela, Bianchi, Matteo, Kozyrev, Sergey V., Lindblad-Toh, Kerstin, Nilsson Ekdahl, Kristina, Nilsson, Bo, Gunnarsson, Iva, Svenungsson, Elisabet, and Eriksson, Oskar
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- 2024
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43. How to Improve Attendance for Diabetic Retinopathy Screening: Ideas and Perspectives From People With Type 2 Diabetes and Health-care Professionals
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Petersen, Gabriela B., Joensen, Lene E., Kristensen, Jette K., Vorum, Henrik, Byberg, Stine, Fangel, Mia V., and Cleal, Bryan
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- 2024
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44. Microbial Trends in Infection-related Readmissions Following Radical Cystectomy for Bladder Cancer
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Vejlgaard, Maja, Maibom, Sophia L., Joensen, Ulla N., Moser, Claus, and Røder, Andreas
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- 2024
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45. Hydrodynamic analysis of one-way energy capture by an oscillating water column wave energy device
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Joensen, Bárður, Bingham, Harry B., Read, Robert W., Nielsen, Kim, and Trevino, Jokin Brito
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- 2023
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46. Acute Kidney Injury Within 90 Days of Radical Cystectomy for Bladder Cancer: Incidence and Risk Factors
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Hyllested, Emil, Vejlgaard, Maja, Stroomberg, Hein V., Maibom, Sophia L., Joensen, Ulla N., and Røder, Andreas
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- 2023
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47. Comparison of a spectral wave model with a fully nonlinear potential flow wave model
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Joensen, Bárður and Bingham, Harry B.
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- 2023
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48. Possible explanations for the common clinical familial hypercholesterolemia phenotypes in the Faroe Islands
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Borg, Sanna á, Joensen, Albert Marni, Nielsen, Michael René Skjelbo, Olsen, Ása Wraae, Lolas, Ihab Bishara Yousef, Okkels, Henrik, Lundbye-Christensen, Søren, Schmidt, Erik Berg, and Bork, Christian Sørensen
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- 2023
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49. How Early Adolescent Skills and Preferences Shape Economics Education Choices
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Fiala, Lenka, Humphries, John Eric, Joensen, Juanna Schrøter, Karna, Uditi, List, John A., and Veramendi, Gregory F.
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- 2022
50. Natalizumab treatment of multiple sclerosis — a Danish nationwide study with 13 years of follow-up
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Buron, Mathias Due, Christensen, Jeppe Romme, Pontieri, Luigi, Joensen, Hanna, Kant, Matthias, Rasmussen, Peter Vestergaard, Sellebjerg, Finn, Sørensen, Per Soelberg, Bech, Danny, and Magyari, Melinda
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- 2023
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