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Article: Cumulative patient-based disease activity monitoring in rheumatoid arthritis – predicts sustained remission, flare and treatment escalation

TitleCumulative patient-based disease activity monitoring in rheumatoid arthritis – predicts sustained remission, flare and treatment escalation
Authors
KeywordsRheumatoid arthritis
Outcome measures
Behaviour
DMARD
Issue Date2020
PublisherWB Saunders Co. The Journal's web site is located at http://www.elsevier.com/locate/semarthrit
Citation
Seminars in Arthritis and Rheumatism, 2020, v. 50 n. 4, p. 749-758 How to Cite?
AbstractObjective: Patient-based Disease Activity Score 2 (PDAS2) had been developed for RA patients to self-assess and record disease activity in between clinic visits. This study explored the clinical utility of time-integrated cumulative PDAS2 (cPDAS2) on predicting sustained remission or low disease activity state (LDAS), flare and treatment escalation. Methods: We recruited 100 patients to record PDAS2 at home fortnightly between two consecutive clinic visits. Rheumatologists adjusted treatment according to disease activity recorded during clinic consultation while blinded to home PDAS2 scores. cPDAS2 calculated from the area-under-curve of all PDAS2 scores were compared with disease activities at both visits. cPDAS2 and Delta cPDAS2 (change from PDAS2 at the first visit) were tested to determine their ability to predict ACR/EULAR remission, SDAI flare-up (from remission/LDAS to moderate/high disease activity) and treatment escalation. Optimal cut-points were determined by Receiver Operator Characteristic curve. Results: Mean age of the patients was 59 years, mean RA duration 14 years, 90% were female, 71% seropositive and 64% in remission/LDAS. The home PDAS2 completion rate was 92%. PDAS2 scores were done 7.5 times every 15 days over a 16-week follow-up (all medians). The sensitivity of cPDAS2 in predicting Boolean/SDAI remission at two visits, DAS28, SDAI and CDAI remission or LDAS were 93%, 84%, 73% and 80% respectively. cPDAS2 >= 0.29 predicted flare (P = 0.04), with specificity 79% and negative predicting value (NPV) 88%. Rheumatologists' decision to escalate treatment was predicted by (cPDAS2 >= 4.33 and Delta cPDAS2 >= 0.059) (P = 0.007) with specificity 88% and NPV 89%, and (cPDAS2 >= 4.33 or Delta cPDAS2 >= 0.059) (P = 0.02) with both sensitivity and NPV 100%. Conclusion: PDAS2 monitoring at home is feasible. cPDAS2 is useful to predict flare and treatment escalation. (C) 2020 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/294109
ISSN
2021 Impact Factor: 5.431
2020 SCImago Journal Rankings: 1.955
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLeung, MH-
dc.contributor.authorChoy, EHS-
dc.contributor.authorLau, CS-
dc.date.accessioned2020-11-23T08:26:27Z-
dc.date.available2020-11-23T08:26:27Z-
dc.date.issued2020-
dc.identifier.citationSeminars in Arthritis and Rheumatism, 2020, v. 50 n. 4, p. 749-758-
dc.identifier.issn0049-0172-
dc.identifier.urihttp://hdl.handle.net/10722/294109-
dc.description.abstractObjective: Patient-based Disease Activity Score 2 (PDAS2) had been developed for RA patients to self-assess and record disease activity in between clinic visits. This study explored the clinical utility of time-integrated cumulative PDAS2 (cPDAS2) on predicting sustained remission or low disease activity state (LDAS), flare and treatment escalation. Methods: We recruited 100 patients to record PDAS2 at home fortnightly between two consecutive clinic visits. Rheumatologists adjusted treatment according to disease activity recorded during clinic consultation while blinded to home PDAS2 scores. cPDAS2 calculated from the area-under-curve of all PDAS2 scores were compared with disease activities at both visits. cPDAS2 and Delta cPDAS2 (change from PDAS2 at the first visit) were tested to determine their ability to predict ACR/EULAR remission, SDAI flare-up (from remission/LDAS to moderate/high disease activity) and treatment escalation. Optimal cut-points were determined by Receiver Operator Characteristic curve. Results: Mean age of the patients was 59 years, mean RA duration 14 years, 90% were female, 71% seropositive and 64% in remission/LDAS. The home PDAS2 completion rate was 92%. PDAS2 scores were done 7.5 times every 15 days over a 16-week follow-up (all medians). The sensitivity of cPDAS2 in predicting Boolean/SDAI remission at two visits, DAS28, SDAI and CDAI remission or LDAS were 93%, 84%, 73% and 80% respectively. cPDAS2 >= 0.29 predicted flare (P = 0.04), with specificity 79% and negative predicting value (NPV) 88%. Rheumatologists' decision to escalate treatment was predicted by (cPDAS2 >= 4.33 and Delta cPDAS2 >= 0.059) (P = 0.007) with specificity 88% and NPV 89%, and (cPDAS2 >= 4.33 or Delta cPDAS2 >= 0.059) (P = 0.02) with both sensitivity and NPV 100%. Conclusion: PDAS2 monitoring at home is feasible. cPDAS2 is useful to predict flare and treatment escalation. (C) 2020 Elsevier Inc. All rights reserved.-
dc.languageeng-
dc.publisherWB Saunders Co. The Journal's web site is located at http://www.elsevier.com/locate/semarthrit-
dc.relation.ispartofSeminars in Arthritis and Rheumatism-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectRheumatoid arthritis-
dc.subjectOutcome measures-
dc.subjectBehaviour-
dc.subjectDMARD-
dc.titleCumulative patient-based disease activity monitoring in rheumatoid arthritis – predicts sustained remission, flare and treatment escalation-
dc.typeArticle-
dc.identifier.emailLeung, MH: mhleung8@hku.hk-
dc.identifier.emailLau, CS: cslau@hku.hk-
dc.identifier.authorityLau, CS=rp01348-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.semarthrit.2020.03.010-
dc.identifier.pmid32531504-
dc.identifier.scopuseid_2-s2.0-85086117280-
dc.identifier.hkuros319847-
dc.identifier.volume50-
dc.identifier.issue4-
dc.identifier.spage749-
dc.identifier.epage758-
dc.identifier.isiWOS:000573043500033-
dc.publisher.placeUnited States-

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