POS1506 IDENTIFYING DETERMINANTS OF FAVOURABLE AND POOR PHYSICAL FUNCTION IN SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM AN INTERNATIONAL COLLABORATIVE STUDY Article Swipe

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S. Y. Lee , Amelia Holloway , Elena Nikiphorou , Ioannis Parodis , N. Ravichandran , Jessica Day , Mohit Joshi , Sreoshy Saha , Kshitij Jagtap , Wanruchada Katchamart , Phonpen Akawatcharangura Goo , Bijay Vaidya , Tsvetelina Velikova , Parikshit Sen , Samuel Katsuyuki Shinjo , Vikas Agarwal , Ai Lyn Tan , Nelly Ziadé , Marcin Milchert , A. E. Gracia-Ramos , C. Vinicio Caballero , Hector Chinoy , Vikas Agarwal , Rohit Aggarwal , Latika Gupta , Chris Wincup ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1136/annrheumdis-2023-eular.3754

Background Systemic lupus erythematosus (SLE) can result in impaired daily physical function through various mechanisms including active disease, chronic damage, and mental health symptoms that are common in the disease. However, the key drivers of reduced physical function are poorly understood, and no large-scale global studies investigating this have been conducted to date. Objectives To investigate key factors that contribute to impaired physical function in SLE globally. Methods SLE patients were identified from the COVAD 2 database, a global register of more than 20,000 respondents. Healthy controls (HC) were included to compare differences in physical function using the Patient Reported Outcome Measurement Information System (PROMIS) questionnaire. Demographics, medication, comorbidities, disease activity, Global Physical Health (GPH) and Global Mental Health (GMH) were collected. Multivariable regression analysis was used to identify contributing factors to favourable or poor physical function (measured by PROMIS Physical Function shortform PF-10a score). Results 979 SLE patients and 3358 HCs were included in analysis. Patients with SLE had significantly lower PF-10a score as compared to HCs (median 42, IQR 36-47 vs median 49, IQR 45-50, p<0.0001). Determinants of physical function status in patients with SLE are summarised in Table 1. Briefly, factors associated with poor physical function included increasing age (-0.042, 95% CI -0.069 to -0.015, p=0.002) and methotrexate use (-0.928, 95% CI -1.844 to -0.012, p=0.047). Diabetes (-1.862, 95% CI -3.481 to -0.243, p=0.024) and interstitial lung disease (ILD) (-2.441, 95% CI -4.366 to -0.517, p=0.013), but not asthma or COPD, also contributed to lower PF-10a score. From a mental health perspective, anxiety (-0.970, 95% CI -1.853 to -0.087, p=0.031) but not depression contributed to a lower physical function score. Higher Pain Visual Analogue Scales (VAS) (-2.889, 95% CI -3.107 to -2.671, p<0.001) and Fatigue VAS (-1.459, 95% CI -1.974 to -0.945, p<0.001) also contributed to lower PF-10 scores. Hydroxychloroquine use (0.844, 95% CI 0.190 to 1.498, p=0.012) and higher GPH score (2.287, 95% CI 2.079 to 2.494, p<0.001) were associated with favourable physical function. Conclusion Patients with SLE show significantly reduced physical function compared with HCs. Key contributors to poor physical function include intercurrent diabetes and ILD. Screening for, and aggressive early treatment of these conditions may confer improved long-term function. As expected, higher levels of pain and fatigue were associated with poor physical function. Methotrexate use was also identified as a contributing factor to reduced function, which could represent its use in articular manifestations that limit physical function. Importantly, use of hydroxychloroquine was associated with favourable physical function, adding to the well-recognised benefits of this drug in SLE. REFERENCES: NIL. Acknowledgements: NIL. Disclosure of Interests Sook Yan Lee: None declared, Amelia Holloway: None declared, Elena Nikiphorou Speakers bureau: Has received speaker honoraria/participated in advisory boards for Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, and Lilly, Consultant of: Has received speaker honoraria/participated in advisory boards for Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, and Lilly, Grant/research support from: Holds research grants from Pfizer and Lilly, Ioannis Parodis Grant/research support from: Has received research funding and/or honoraria from Amgen, AstraZeneca, Aurinia Pharmaceuticals, Elli Lilly and Company, Gilead Sciences, GlaxoSmithKline, Janssen Pharmaceuticals, Novartis and F. Hoffmann-La Roche AG., Naveen Ravichandran: None declared, Jessica Day Grant/research support from: Has received research funding from CSL Limited., Mrudula Joshi: None declared, Sreoshy Saha: None declared, Kshitij Jagtap: None declared, Wanruchada Katchamart: None declared, Phonpen Akarawatcharangura Goo: None declared, Binit Vaidya: None declared, Tsvetelina Velikova Speakers bureau: Has received speaker honoraria from Pfizer and AstraZeneca., Parikshit Sen: None declared, Samuel Katsuyuki Shinjo: None declared, Vishwesh Agarwal: None declared, Ai Lyn Tan Speakers bureau: Has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Consultant of: Has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Nelly Ziade Speakers bureau: Has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre; none are related to this manuscript., Consultant of: Has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre; none are related to this manuscript., Grant/research support from: Has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre; none are related to this manuscript., Marcin Milchert: None declared, Abraham Edgar Gracia-Ramos: None declared, Carlo Vinicio Caballero: None declared, Hector Chinoy Speakers bureau: Has received speaking fees from UCB and Biogen, Consultant of: Has received consulting fees from Novartis, Eli Lilly, Orphazyme, Astra Zeneca, Grant/research support from: Has received grant support from Eli Lilly and UCB. Was also supported by the National Institution for Health Research Manchester Biomedical Research Centre Funding Scheme. The views expressed in this publication are those of the authors and not necessarily those of the NHS, National Institute for Health Research, or Department of Health., Vikas Agarwal: None declared, Rohit Aggarwal Consultant of: Consultant of: Mallinckrodt, Octapharma, CSL Behring, Bristol. Myers-Squibb, EMD Serono, Q32, Kezar, Pfizer, AstraZeneca, Alexion, Argenx, Boehringer Ingelheim (BI), Corbus, Janssen, Kyverna, Roivant, Merck, Galapagos, Actigraph, Scipher, Horizon Therapeutics, Teva, Beigene, ANI Pharmaceuticals, Biogen, Nuvig, Capella Bioscience, CabalettaBio., Grant/research support from: Grant/research support from: Mallinckrodt, Pfizer, Bristol Myers-Squibb, Q32, EMD Serono, Janssen, Boehringer Ingelheim (BI), Latika Gupta: None declared, Chris Wincup: None declared.

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Medicine Internal medicine Quality of life (healthcare) Disease Physical therapy Nursing

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Type: article
Language: en
Landing Page: https://doi.org/10.1136/annrheumdis-2023-eular.3754
PDF: https://ard.bmj.com/content/annrheumdis/82/Suppl_1/1110.2.full.pdf
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Title: POS1506 IDENTIFYING DETERMINANTS OF FAVOURABLE AND POOR PHYSICAL FUNCTION IN SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM AN INTERNATIONAL COLLABORATIVE STUDY

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Authors: S. Y. Lee, Amelia Holloway, Elena Nikiphorou, Ioannis Parodis, N. Ravichandran, Jessica Day, Mohit Joshi, Sreoshy Saha, Kshitij Jagtap, Wanruchada Katchamart, Phonpen Akawatcharangura Goo, Bijay Vaidya, Tsvetelina Velikova, Parikshit Sen, Samuel Katsuyuki Shinjo, Vikas Agarwal, Ai Lyn Tan, Nelly Ziadé, Marcin Milchert, A. E. Gracia-Ramos, C. Vinicio Caballero, Hector Chinoy, Vikas Agarwal, Rohit Aggarwal, Latika Gupta, Chris Wincup

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Landing page: https://doi.org/10.1136/annrheumdis-2023-eular.3754

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Concepts: Medicine, Internal medicine, Quality of life (healthcare), Disease, Physical therapy, Nursing

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abstract_inverted_index.score.	249, 272
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abstract_inverted_index.(0.844,	304
abstract_inverted_index.(2.287,	315
abstract_inverted_index.(median	168
abstract_inverted_index.-0.012,	217
abstract_inverted_index.-0.015,	207
abstract_inverted_index.-0.087,	261
abstract_inverted_index.-0.243,	225
abstract_inverted_index.-0.517,	237
abstract_inverted_index.-0.945,	294
abstract_inverted_index.-2.671,	284
abstract_inverted_index.AbbVie,	456, 474
abstract_inverted_index.Abbvie,	598, 617, 642, 674, 707
abstract_inverted_index.Abraham	728
abstract_inverted_index.Argenx,	841
abstract_inverted_index.Aurinia	501
abstract_inverted_index.Biogen,	749, 859
abstract_inverted_index.Bristol	872
abstract_inverted_index.Capella	861
abstract_inverted_index.Corbus,	845
abstract_inverted_index.Fatigue	287
abstract_inverted_index.Funding	789
abstract_inverted_index.Gilead,	454, 472, 599, 618
abstract_inverted_index.Healthy	85
abstract_inverted_index.Horizon	853
abstract_inverted_index.Ioannis	487
abstract_inverted_index.Jagtap:	543
abstract_inverted_index.Janssen	510
abstract_inverted_index.Jessica	522
abstract_inverted_index.Kshitij	542
abstract_inverted_index.Mrudula	534
abstract_inverted_index.Outcome	100
abstract_inverted_index.Parodis	488
abstract_inverted_index.Patient	98
abstract_inverted_index.Pfizer,	452, 470, 603, 622, 640, 672, 705, 838, 871
abstract_inverted_index.Phonpen	550
abstract_inverted_index.Sanofi,	453, 471
abstract_inverted_index.Scheme.	790
abstract_inverted_index.Serono,	835, 876
abstract_inverted_index.Shinjo:	577
abstract_inverted_index.Sreoshy	538
abstract_inverted_index.Vaidya:	556
abstract_inverted_index.Vinicio	734
abstract_inverted_index.Wincup:	886
abstract_inverted_index.Zeneca,	762
abstract_inverted_index.anxiety	255
abstract_inverted_index.authors	801
abstract_inverted_index.bureau:	442, 562, 588, 628, 741
abstract_inverted_index.chronic	18
abstract_inverted_index.compare	91
abstract_inverted_index.damage,	19
abstract_inverted_index.disease	109, 230
abstract_inverted_index.drivers	33
abstract_inverted_index.factors	57, 130, 193
abstract_inverted_index.fatigue	372
abstract_inverted_index.funding	495, 530
abstract_inverted_index.include	346
abstract_inverted_index.reduced	35, 334, 389
abstract_inverted_index.related	655, 687, 720
abstract_inverted_index.score).	144
abstract_inverted_index.scores.	301
abstract_inverted_index.speaker	445, 463, 565, 631, 663, 696
abstract_inverted_index.studies	45
abstract_inverted_index.support	478, 490, 525, 692, 764, 769, 865, 868
abstract_inverted_index.through	12
abstract_inverted_index.various	13
abstract_inverted_index.(-0.042,	202
abstract_inverted_index.(-0.928,	212
abstract_inverted_index.(-0.970,	256
abstract_inverted_index.(-1.459,	289
abstract_inverted_index.(-1.862,	220
abstract_inverted_index.(-2.441,	232
abstract_inverted_index.(-2.889,	279
abstract_inverted_index.(PROMIS)	104
abstract_inverted_index.Agarwal:	581, 819
abstract_inverted_index.Aggarwal	823
abstract_inverted_index.Alexion,	840
abstract_inverted_index.Analogue	276
abstract_inverted_index.Behring,	831
abstract_inverted_index.Beigene,	856
abstract_inverted_index.Briefly,	192
abstract_inverted_index.Bristol.	832
abstract_inverted_index.Company,	506
abstract_inverted_index.Diabetes	219
abstract_inverted_index.Function	141
abstract_inverted_index.Health.,	817
abstract_inverted_index.However,	30
abstract_inverted_index.Janssen,	600, 619, 649, 681, 714, 846, 877
abstract_inverted_index.Kyverna,	847
abstract_inverted_index.National	780, 809
abstract_inverted_index.Novartis	512
abstract_inverted_index.Patients	156, 329
abstract_inverted_index.Physical	112, 140
abstract_inverted_index.Reported	99
abstract_inverted_index.Research	784, 787
abstract_inverted_index.Roivant,	848
abstract_inverted_index.Scipher,	852
abstract_inverted_index.Speakers	441, 561, 587, 627, 740
abstract_inverted_index.Systemic	1
abstract_inverted_index.Velikova	560
abstract_inverted_index.Vishwesh	580
abstract_inverted_index.advisory	448, 466, 593, 612, 633, 665, 698
abstract_inverted_index.analysis	124
abstract_inverted_index.benefits	417
abstract_inverted_index.compared	165, 337
abstract_inverted_index.controls	86
abstract_inverted_index.diabetes	348
abstract_inverted_index.disease,	17
abstract_inverted_index.disease.	29
abstract_inverted_index.function	11, 37, 63, 95, 136, 181, 198, 271, 336, 345
abstract_inverted_index.identify	128
abstract_inverted_index.impaired	8, 61
abstract_inverted_index.improved	362
abstract_inverted_index.included	89, 153, 199
abstract_inverted_index.p=0.002)	208
abstract_inverted_index.p=0.012)	310
abstract_inverted_index.p=0.024)	226
abstract_inverted_index.p=0.031)	262
abstract_inverted_index.patients	69, 148, 184
abstract_inverted_index.physical	10, 36, 62, 94, 135, 180, 197, 270, 326, 335, 344, 377, 401, 411
abstract_inverted_index.received	444, 462, 493, 528, 564, 590, 609, 630, 662, 695, 743, 753, 767
abstract_inverted_index.register	79
abstract_inverted_index.research	481, 494, 529, 637, 669, 702
abstract_inverted_index.speaking	596, 615, 744
abstract_inverted_index.symptoms	23
abstract_inverted_index.(measured	137
abstract_inverted_index.Holloway:	436
abstract_inverted_index.Ingelheim	843, 879
abstract_inverted_index.Institute	810
abstract_inverted_index.Katsuyuki	576
abstract_inverted_index.Limited.,	533
abstract_inverted_index.Milchert:	725
abstract_inverted_index.Novartis,	602, 621, 757
abstract_inverted_index.Parikshit	571
abstract_inverted_index.Research,	813
abstract_inverted_index.Sciences,	508
abstract_inverted_index.Screening	351
abstract_inverted_index.activity,	110
abstract_inverted_index.analysis.	155
abstract_inverted_index.articular	397
abstract_inverted_index.conducted	50
abstract_inverted_index.database,	76
abstract_inverted_index.declared,	434, 438, 521, 537, 541, 545, 549, 554, 558, 574, 579, 583, 727, 732, 737, 821, 884
abstract_inverted_index.declared.	888
abstract_inverted_index.expected,	366
abstract_inverted_index.expressed	793
abstract_inverted_index.function,	390, 412
abstract_inverted_index.function.	327, 364, 378, 402
abstract_inverted_index.globally.	66
abstract_inverted_index.honoraria	497, 566, 591, 610
abstract_inverted_index.including	15
abstract_inverted_index.long-term	363
abstract_inverted_index.p=0.013),	238
abstract_inverted_index.p=0.047).	218
abstract_inverted_index.represent	393
abstract_inverted_index.shortform	142
abstract_inverted_index.supported	777
abstract_inverted_index.treatment	356
abstract_inverted_index.Actigraph,	851
abstract_inverted_index.Biomedical	786
abstract_inverted_index.Boehringer	647, 679, 712, 842, 878
abstract_inverted_index.Caballero:	735
abstract_inverted_index.Celltrion,	451, 469
abstract_inverted_index.Consultant	459, 606, 659, 750, 824, 826
abstract_inverted_index.Department	815
abstract_inverted_index.Galapagos,	455, 473, 850
abstract_inverted_index.Ingelheim,	648, 680, 713
abstract_inverted_index.Manchester	785
abstract_inverted_index.NewBridge,	645, 677, 710
abstract_inverted_index.Nikiphorou	440
abstract_inverted_index.Orphazyme,	760
abstract_inverted_index.Tsvetelina	559
abstract_inverted_index.Wanruchada	546
abstract_inverted_index.aggressive	354
abstract_inverted_index.associated	194, 323, 374, 408
abstract_inverted_index.collected.	121
abstract_inverted_index.conditions	359
abstract_inverted_index.consulting	754
abstract_inverted_index.contribute	59
abstract_inverted_index.depression	265
abstract_inverted_index.favourable	132, 325, 410
abstract_inverted_index.identified	71, 383
abstract_inverted_index.increasing	200
abstract_inverted_index.mechanisms	14
abstract_inverted_index.regression	123
abstract_inverted_index.summarised	188
abstract_inverted_index.Bioscience,	862
abstract_inverted_index.Hoffmann-La	515
abstract_inverted_index.Information	102
abstract_inverted_index.Institution	781
abstract_inverted_index.Katchamart:	547
abstract_inverted_index.Measurement	101
abstract_inverted_index.Octapharma,	829
abstract_inverted_index.contributed	245, 266, 297
abstract_inverted_index.differences	92
abstract_inverted_index.investigate	55
abstract_inverted_index.large-scale	43
abstract_inverted_index.medication,	107
abstract_inverted_index.necessarily	804
abstract_inverted_index.p<0.001)	285, 295, 321
abstract_inverted_index.publication	796
abstract_inverted_index.understood,	40
abstract_inverted_index.AstraZeneca,	500, 839
abstract_inverted_index.Determinants	178
abstract_inverted_index.Importantly,	403
abstract_inverted_index.Methotrexate	379
abstract_inverted_index.contributing	129, 386
abstract_inverted_index.contributors	341
abstract_inverted_index.intercurrent	347
abstract_inverted_index.interstitial	228
abstract_inverted_index.manuscript.,	658, 690, 723
abstract_inverted_index.methotrexate	210
abstract_inverted_index.perspective,	254
abstract_inverted_index.respondents.	84
abstract_inverted_index.AstraZeneca.,	570
abstract_inverted_index.Demographics,	106
abstract_inverted_index.Gracia-Ramos:	730
abstract_inverted_index.Mallinckrodt,	828, 870
abstract_inverted_index.Multivariable	122
abstract_inverted_index.Myers-Squibb,	833, 873
abstract_inverted_index.Ravichandran:	519
abstract_inverted_index.Therapeutics,	854
abstract_inverted_index.erythematosus	3
abstract_inverted_index.investigating	46
abstract_inverted_index.p<0.0001).	177
abstract_inverted_index.significantly	160, 333
abstract_inverted_index.<h3>Disclosure	427
abstract_inverted_index.CabalettaBio.,	863
abstract_inverted_index.Grant/research	477, 489, 524, 691, 763, 864, 867
abstract_inverted_index.Interests</h3>	429
abstract_inverted_index.comorbidities,	108
abstract_inverted_index.manifestations	398
abstract_inverted_index.questionnaire.	105
abstract_inverted_index.Sanofi-Aventis,	646, 678, 711
abstract_inverted_index.well-recognised	416
abstract_inverted_index.<h3>Methods</h3>	67
abstract_inverted_index.<h3>Results</h3>	145
abstract_inverted_index.GlaxoSmithKline,	509
abstract_inverted_index.Pharmaceuticals,	502, 511, 858
abstract_inverted_index.Akarawatcharangura	551
abstract_inverted_index.Hydroxychloroquine	302
abstract_inverted_index.hydroxychloroquine	406
abstract_inverted_index.<h3>Background</h3>	0
abstract_inverted_index.<h3>Conclusion</h3>	328
abstract_inverted_index.<h3>Objectives</h3>	53
abstract_inverted_index.<h3>REFERENCES:</h3>	423
abstract_inverted_index.honoraria/participated	446, 464
abstract_inverted_index.<h3>Acknowledgements:</h3>	425
cited_by_percentile_year
countries_distinct_count	12
institutions_distinct_count	26
sustainable_development_goals[0].id	https://metadata.un.org/sdg/1
sustainable_development_goals[0].score	0.7099999785423279
sustainable_development_goals[0].display_name	No poverty
citation_normalized_percentile.value	0.18239533
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False