POS1028 PATIENT CHARACTERISTICS & CLINICAL FEATURES ASSOCIATE WITH HEALTH-RELATED QUALITY OF LIFE IN BIO-NAÏVE PATIENTS WITH ACTIVE PSORIATIC ARTHRITIS THROUGH WEEK 24 OF THE DISCOVER-2 STUDY

Background:

Psoriatic arthritis (PsA) is a chronic inflammatory disease characterized by peripheral arthritis, axial inflammation, dactylitis, enthesitis, & skin/nail psoriasis. Patients (pts) with PsA often experience reduced health-related quality of life (HRQoL) due to these features.

Objectives:

Using EuroQoL-5 dimension-5 level (EQ-5D-5L) questionnaire index & visual analog scale (EQ-VAS) scores, we assessed HRQoL in pts with PsA & its association with pt characteristics & clinical features of PsA, including fatigue.

Methods:

The Phase 3 DISCOVER-2 trial evaluated guselkumab (GUS), a human monoclonal antibody targeting the IL-23p19-subunit, in bio-naïve adults with active PsA (swollen joint count [SJC] ≥5, tender joint count [TJC] ≥5, C-reactive protein [CRP] ≥0.6 mg/dL) despite standard therapies.1 Pts were randomized 1:1:1 to GUS 100 mg every 4 weeks (Q4W); GUS 100 mg at Week 0 (W0), W4, then Q8W; or placebo (PBO). EQ-5D-5L index assesses mobility, self-care, usual activities, pain/discomfort, & anxiety/depression. EQ-VAS assesses pt health state. Spearman correlation testing was used to evaluate relationships between baseline (BL) pt characteristics & PsA clinical features & BL EQ-5D-5L index & EQ-VAS scores (Figure 1). Employing absolute observed scores at both W0 & W24, univariate linear regression was used to assess the association between EQ-5D-5L index & EQ-VAS scores & pt characteristics/PsA clinical features. Variables with p<0.20 in the univariate analysis were included in a multivariate analysis employing mixed-effect model for repeated measures (MMRM), controlling for all other variables; resulting p values <0.05 were considered statistically significant. Least-squares (LS) mean changes in EQ-5D-5L index & EQ-VAS were assessed at W24 using MMRM.

Results:

Among 738 pts, BL EQ-5D-5L index & EQ-VAS scores were moderately to strongly correlated (ie, ≥0.4) with BL pt-reported pain (0-10 VAS), physical function (Health Assessment Questionnaire-Disability Index [HAQ-DI]), fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue [FACIT-F] scale), & 36-item Short Form Health Survey (SF-36) physical & mental component summary (PCS & MCS) scores & weakly correlated with other variables (Figure 1). Based on univariate analyses (p<0.20) & evaluation of collinearity between variables, attributes at W0 & W24 included in the multivariate models were age, sex, CRP, FACIT-F, pain, psoriasis area & severity index (PASI) score, TJC, SJC, enthesitis, & dactylitis. In the final model, CRP, FACIT-F, pain, PASI score, & the presence of dactylitis were significantly associated with EQ-5D-5L index & EQ-VAS scores. A higher TJC was significantly associated with a worse EQ-5D-5L index score. A higher SJC was significantly associated with a worse EQ-VAS score (Table 1). For reference, in the GUS Q4W (N=244), GUS Q8W (N=246), & PBO (N=244) groups, the LS mean changes from baseline at W24 were 0.12, 0.12, & 0.05, respectively, for EQ-5D-5L index & 18.1, 18.4, & 6.8, respectively, for EQ-VAS.

Conclusion:

Joint & skin symptoms, dactylitis, fatigue, pain, & elevated levels of CRP were significantly associated with reduced HRQoL (measured by EQ-5D-5L index & EQ-VAS) in bio-naïve pts with active PsA. Treatment of multiple PsA domains may help optimize HRQoL. Improvement across clinical domains1 & in HRQoL has been observed in GUS-treated pts with PsA.

References:

[1]Mease P, et al. Lancet 2020;395:1126-36.

Table 1.

Multivariate analysis of pt characteristics/clinical features & EQ-5D-5L index & EQ-VAS scores at W0 & W24

ParameterEQ-5D-5L IndexEQ-VASEstimatep valueEstimatep valueAge (y)-0.00010.690.060.12Female-0.0030.531.110.20CRP (mg/dL)-0.005<0.001-0.510.007FACIT-F (0-52)0.007<0.0010.57<0.001Pain (0-10)-0.02<0.001-3.47<0.001PASI (0-72)-0.0010.03-0.17<0.001SJC (0-66)-0.0010.21-0.170.02TJC (0-68)-0.0010.04-0.040.41Dactylitis (Y/N)0.010.021.740.49Enthesitis (Y/N)-0.0040.33-0.980.22

Disclosure of Interests:

Jeffrey Curtis Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Eli Lilly, Janssen, Myriad, Pfizer, Regeneron, Roche, and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Eli Lilly, Janssen, Myriad, Pfizer, Regeneron, Roche, and UCB, Iain McInnes Consultant of: AbbVie, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, and UCB, Dafna D Gladman Consultant of: Abbvie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer and UCB, Grant/research support from: Abbvie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer and UCB, Feifei Yang Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Steve Peterson Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Prasheen Agarwal Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Chenglong Han Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, May Shawi Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, William Tillett Speakers bureau: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, MSD, Pfizer, and UCB, Grant/research support from: AbbVie, Celgene, Eli Lilly, Janssen, Novartis, Philip J Mease Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Novartis, Pfizer, SUN, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, SUN, and UCB, Proton Rahman Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Grant/research support from: Janssen and Novartis.

POS0200 CLINICAL CHARACTERISTICS & OUTCOMES ASSOCIATE WITH WORK PRODUCTIVITY IN BIO-NAÏVE PATIENTS WITH ACTIVE PSORIATIC ARTHRITIS THROUGH WEEK 24 OF THE DISCOVER-2 STUDY

Background:

Psoriatic arthritis (PsA), a chronic inflammatory disease characterized by peripheral arthritis, axial inflammation, dactylitis, enthesitis & skin/nail psoriasis, causes impaired physical function, disability & loss of work productivity.

Objectives:

Evaluate associations between PsA clinical characteristics & outcomes including fatigue & work productivity using Work Productivity & Activity Impairment Questionnaire: PsA (WPAI-PsA).

Methods:

The Phase 3 DISCOVER-2 trial assessed guselkumab (GUS), an anti-IL-23p19 subunit monoclonal antibody, in bio-naïve adults with active PsA (swollen joint count [SJC] ≥5 & tender joint count [TJC] ≥5, C-reactive protein [CRP] ≥0.6 mg/dL) despite standard therapies.1 Patients (Pts) were randomized 1:1:1 to GUS 100 mg Q4W; GUS 100 mg at W0, W4, then Q8W; or placebo (PBO). WPAI-PsA assesses PsA-related work time missed (absenteeism), impairment while working (presenteeism), productivity loss (absenteeism+presenteeism), & daily activity during the previous week. Spearman correlation testing evaluated relationships between pt demographics & disease characteristics of PsA & WPAI domain scores based on observed values at baseline. Univariate linear regression assessed associations between WPAI & these variables based on observed data at W0 & at W24. Variables with p<0.10 were included in a multivariate analysis employing a mixed-effects model for repeated measures, controlling for all other variables; resulting p-values <0.05 were considered statistically significant.

Results:

As reported elsewhere,2 least-squares mean % changes from baseline at W24 were -3.8/-19.5/-20.0/-20.5 for GUS Q4W, -3.1/-19.4/-19.7/-21.5 for GUS Q8W, & -3.5/-10.2/-10.9/-10.3 for PBO for absenteeism, presenteeism, absenteeism+presenteeism, & daily activity impairment, respectively. Among 738 pts, WPAI domain scores were moderately to strongly correlated (ie, ≥0.4) with pt-reported pain (0-10 visual analog scale), physical function (Health Assessment Questionnaire Disability Index [HAQ-DI]), fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue [FACIT-F] scale) & 36-Item Short Form Health Survey (SF-36) Physical Component Summary (PCS) score, but weakly correlated with other variables (Figure 1). Based on univariate analyses & evaluation of collinearity between variables, attributes included in multivariate models were age, body mass index (BMI), gender, CRP, FACIT-F, pain, Psoriasis Area Severity Index (PASI), TJC, SJC, enthesitis & dactylitis. In final model, CRP, FACIT-F, & pain were statistically significantly associated with all WPAI domains (Table 1). Presence of enthesitis & higher PASI score were significantly associated with higher loss of work productivity & activity outside work.

Conclusion:

In PsA pts, extra-articular symptoms, fatigue, pain & elevated CRP were significantly associated with WPAI-assessed work & activity impairment. Treating all major clinical manifestations of PsA is needed to help pts improve work & activity impairment. GUS effectively treats all major clinical manifestations1 & improves work & activity impairment in PsA.2

References:

[1]Mease P. Lancet 2020;395:1126-36.

[2]Curtis J. ACR 2020; Poster 0332.

Table 1.

Multivariate analysis of clinical characteristics/outcomes & WPAI domains at W0 & W24

ParameterAbsenteeismaPresenteeismaProductivity LossaActivity ImpairmentbEstimatep-valueEstimatep-valueEstimatep-valueEstimatep-valueAge-0.050.42-0.27<0.001-0.28<0.001-0.060.17Female0.910.46-1.540.22-1.740.202.380.02CRP0.730.040.970.011.010.010.89<0.001FACIT-F-0.31<0.001-0.67<0.001-0.73<0.001-0.75<0.001Pain1.03<0.0014.15<0.0014.25<0.0014.02<0.001PASI0.060.360.160.020.140.050.150.003SJC0.080.48-0.050.61-0.050.660.030.75TJC-0.100.130.110.090.090.190.100.04Dactylitis (Y/N)-1.100.392.470.052.580.050.540.57Enthesitis (Y/N)1.520.202.380.042.990.012.400.01

aPts working at baseline

bAll pts in study

Disclosure of Interests:

Jeffrey Curtis Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Eli Lilly, Myriad, Pfizer, Regeneron, Roche, and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Eli Lilly, Myriad, Pfizer, Regeneron, Roche, and UCB, Iain McInnes Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, and UCB, Dafna D Gladman Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer and UCB, Feifei Yang Shareholder of: Janssen, Employee of: Janssen, Steve Peterson Shareholder of: Janssen, Employee of: Janssen, Prasheen Agarwal Shareholder of: Janssen, Employee of: Janssen, Alexa Kollmeier Shareholder of: Janssen, Employee of: Janssen, Elizabeth C Hsia Shareholder of: Janssen, Employee of: Janssen, Chenglong Han Shareholder of: Janssen, Employee of: Janssen, May Shawi Shareholder of: Janssen, Employee of: Janssen, William Tillett Speakers bureau: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, MSD, Pfizer, and UCB, Grant/research support from: AbbVie, Celgene, Eli Lilly, Janssen, and Novartis, Philip J Mease Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Novartis, Pfizer, SUN, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, SUN, and UCB, Proton Rahman Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Grant/research support from: Janssen and Novartis

AB0538 POOLED SAFETY RESULTS FROM TWO PHASE-3 TRIALS OF GUSELKUMAB IN PATIENTS WITH PSORIATIC ARTHRITIS THROUGH 1 YEAR

Background:

DISCOVER 1 & 2, two double-blind, phase-3, psoriatic arthritis (PsA) trials of guselkumab (GUS, an IL-23 inhibitor), demonstrated significant improvement with GUS vs placebo (PBO) in signs and symptoms of PsA, with good tolerability, at week (w) 24 during the PBO-controlled period.1,2 Beyond w24, all patients (pts) switched to GUS. Continued treatment maintained efficacy through w52.3,4

Objectives:

To describe pooled safety results from the DISCOVER 1 & 2 trials through 1-year of GUS treatment.

Methods:

Adults with active PsA (DISCOVER 1: ≥3 tender/swollen joints and C-Reactive protein [CRP] ≥0.3 mg/dL; DISCOVER 2: ≥5 tender/swollen joints and CRP ≥0.6 mg/dL) were randomized to subcutaneous GUS 100 mg at w0, w4, then every 8 w (q8w); GUS 100 mg q4w; or PBO. At w24, PBO pts switched to GUS 100 mg q4w. Pts were biologic naive except ~30% pts in DISCOVER 1. Safety was reported through w60 in DISCOVER 1 and through w52 in DISCOVER 2.

Results:

Baseline characteristics were similar between treatment groups in the pooled studies. Through w24 and 1 year, numbers of pts per 100 patient years with ≥1 event were similar among treatment groups for adverse events (AEs), serious AEs, infections, serious infections, and discontinuations due to AE (Table 1). At 1 year, there were no cases of active tuberculosis, opportunistic infections (including candida), or inflammatory bowel disease in GUS-treated pts; 2 deaths in PBO pts; and low incidences that were similar across treatment groups for malignancy, major adverse cardiac events, and injection-site reactions. Incidence of anti-GUS antibodies was 4.5%, and most were not neutralizing. Mild elevations in serum hepatic transaminases and decreases in neutrophil counts were consistent at 1 year with the results at w24 (Table 1).

Conclusion:

GUS regimens of q8w and q4w were well tolerated in PsA pts through 1 year of treatment in the phase-3 DISCOVER trials, consistent with the w24 results. No meaningful differences between incidences of AEs were reported in the q8w and q4w groups. The safety profile of GUS in PsA pts is generally comparable with the previously established safety profile of GUS.

References:

[1]Deodhar A et al. Lancet. 2020;395:1115

[2]Mease P et al. Lancet. 2020;395:1126

[3]Ritchlin C et al. EULAR 2020 # SAT0397

[4]McInnes I et al. EULAR 2020 # SAT0402

Table 1.

Number of Patients with AEs per 100 PY and Incidence of AEs of Interest

Time Period24 Weeks1 Year*Treatment GroupPBOGUS SC 100 mgPBO to GUS‡GUS SC 100 mgDosing ScheduleMatchingq8wq4wGUSCombined†q4wq8wq4wGUSCombined‡ N3723753737483523753731100Total PY Follow-Up173173172346204384385589Patients with AEs per 100 PY, n (95% CI)≥1 AE143 (123, 166)148 (127, 171)154 (132, 178)151 (136, 167)92 (77, 108)114 (100, 130)115 (101, 131)109 (100, 117)≥1 Serious AE7.1 (3.7, 12)4.1 (1.6, 8.4)4.7 (2.0, 9.3)4.4 (2.5, 7.3)7.0 (3.8, 11.8)4.8 (2.9, 7.6)4.0 (2.2, 6.6)4.9 (3.6, 6.6)≥1 Infection50 (39, 62)47 (37, 59)52 (42, 65)49 (42, 58)39 (31, 49)41 (34, 48)38 (31, 45)39 (35, 44)≥1 Serious Infection1.7 (0.4, 5.1)0.6 (0.0, 3.2)1.8 (0.4, 5.1)1.2 (0.3, 3.0)2.5 (0.8, 5.8)1.3 (0.4, 3.1)0.8 (0.2, 2.3)1.3 (0.7, 2.3)Discontinued due to AE4.1 (1.6, 8.4)2.9 (1.0, 6.8)4.7 (2.0, 9.3)3.8 (2.0, 6.5)3.5 (1.4, 7.1)2.1 (0.9, 4.1)2.6 (1.3, 4.8)2.6 (1.7, 3.8)AEs of Interest§, n (%)Death2 (0.5)0000000Malignancy1 (0.3)2 (0.5)02 (0.3)1 (0.3)2 (0.5)03 (0.3)Major Adverse Cardiac Events1 (0.3)01 (0.3)1 (0.1)001 (0.3)1 (0.1)Opportunistic Infections00000000Tuberculosis00000000Inflammatory Bowel Disease1 (0.3)0000000Injection-Site Reaction1 (0.3)5 (1.3)4 (1.1)9 (1.2)4 (1.1)6 (1.6)9 (2.4)19 (1.7)Anti-GUS Antibody+-6/373 (1.6)9/371 (2.4)15/744 (2.0)14/350 (4.0)18/373 (4.8)17/371 (4.6)49/1094 (4.5)

*Through w60 for DISCOVER 1 and w52 for DISCOVER 2; †Combined GUS q8w and q4w; ‡For patients who switched from PBO to GUS, only data on and after first GUS administration were included in this group; §PBO N=370.

AE, adverse event; CI, confidence interval; GUS, guselkumab; PBO, placebo; PY, patient year; q4w, every 4 weeks; q8w, every 8 weeks; SC, subcutaneous; w, week

Disclosure of Interests:

Christopher T. Ritchlin Grant/research support from: Received grant/research support from UCB Pharma, AbbVie, Amgen, consultation fees from UCB Pharma, Amgen, AbbVie, Lilly, Pfizer, Novartis, Gilead, Janssen, Proton Rahman Speakers bureau: Received speakers fees from Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Grant/research support from: Received grant/research support from Janssen and Novartis, consultation fees from Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Philip Helliwell Consultant of: Consultation fees paid to charity (AbbVie, Amgen, Pfizer, UCB) or himself (Celgene, Galapagos), Grant/research support from: Received grants/research support paid to charity (AbbVie, Janssen, Novartis), Wolf-Henning Boehncke Consultant of: Received consultation fees from Janssen, Grant/research support from: Received grant/research support from Janssen Research & Development, LLC, Iain McInnes Consultant of: Received consultation fees from AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Received grant/research support from Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Alice B Gottlieb Speakers bureau: Received speakers fees from Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB, Consultant of: Received consultation fees from Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB, Grant/research support from: Received grant/research support from Pfizer, AbbVie, BMS, Lilly, MSD, Novartis, Roche, Sanofi, Sandoz, Nordic, Celltrion and UCB, Shelly Kafka Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Alexa Kollmeier Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Xie L Xu Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, May Shawi Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Shihong Sheng Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Prasheen Agarwal Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Bei Zhou Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Paraneedharan Ramachandran Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Philip J Mease Speakers bureau: Received speakers fees from Abbott, Amgen, Biogen Idec, BMS, Eli Lilly, Genentech, Janssen, Pfizer, UCB – speakers bureau, Consultant of: Received consultation fees from Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB, Grant/research support from: Received grant/research support from Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB.

POS1026 GUSELKUMAB PROVIDES SUSTAINED IMPROVEMENTS IN WORK PRODUCTIVITY AND NON-WORK ACTIVITY IN PATIENTS WITH PSORIATIC ARTHRITIS: RESULTS THROUGH 1 YEAR OF A PHASE 3 TRIAL

Background:

DISCOVER-2 was a Phase 3 trial of the first-in-class anti-IL-23-specific mAb guselkumab (GUS) in patients (pts) with psoriatic arthritis (PsA). PsA impacts patients’ productivity at work and in daily activity.1

Objectives:

To evaluate the effect of GUS on work productivity and daily activity in DISCOVER-2 through 1 year using the Work Productivity and Activity Impairment Questionnaire: PsA (WPAI- PsA).

Methods:

Bio-naïve adults with active PsA despite nonbiologic DMARDs &/or NSAIDs received subcutaneous GUS 100 mg every 4 weeks (Q4W); GUS 100 mg W0, W4, then Q8W; or placebo (PBO). At W24, PBO pts crossed over to GUS 100 mg Q4W. WPAI-PsA assesses PsA-related work time missed (absenteeism), impairment while working (presenteeism), impaired overall work productivity (absenteeism + presenteeism), and daily activity during the previous week. A shift analysis evaluated proportions of pts employed vs unemployed (regardless of desire to work) over time. Among pts working at baseline, least-squares (LS) mean changes from baseline in WPAI-PsA domains were determined using a mixed-effects model for repeated measures analysis, whereby mean changes in WPAI-PsA domains were calculated for each multiple imputation (MI) dataset using an analysis of covariance (ANCOVA); the reported LSmean is the average of all MI datasets. Also, among pts employed at baseline, indirect savings from improved overall work productivity were estimated using 2020 EU mean yearly wage estimate (all occupations).2

Results:

In pts working at baseline, significant improvement in work productivity and non-work activity vs PBO was observed at W24. Productivity gains seen with GUS at W24 continued to improve through 1 year (Table 1). Shift analysis showed relatively stable employment in pts employed at baseline (62% of shift analysis cohort) through 1 year of GUS (>91% continued to work when assessed at W16, W24, and W52 [data not shown]). For those unemployed at baseline (38% of cohort), the proportion of pts working increased by ~10% following 1 year of GUS (Figure 1). Potential yearly indirect savings from improved overall work productivity were: €7409 GUS Q4W and €7039 GUS Q8W vs €4075 PBO at W24 and were €8520 GUS Q4W, €9632 GUS Q8W, and €6668 PBO→GUS Q4W at W52.

Conclusion:

Improvement in work productivity and non-work activity was greater with GUS vs PBO among pts with active PsA through W52. Improvements demonstrated may result in reduction in PsA costs associated with work productivity.

References:

[1]Tillett W et al. Rheumatol (Oxford). 2012;51:275–83.

[2]OECD (2020). Average wages (indicator). https://data.oecd.org/earnwage/average-wages.htm

Table 1.

Model-based estimates of LSmean changea (95% CI) from baseline in WPAI-PsA domains among pts working at baseline and with an observed change through W24 (N=474) and W52 (N=475)

Change from baselineGUS 100mg Q4WGUS 100mg Q8WPBO(W0-24)PBO → GUS 100 mg Q4W (W24-52)VisitW24W52W24W52W24W52Absenteeism, N145145147147162163LSmean-3.4 (-6.5,-0.3)-4.1 (-6.8,-1.5)-3.0 (-6.0,0.1)-4.0 (-6.6,-1.3)-3.0 (-6.0, 0.04)-3.0 (-5.5,-0.4)Diff vs. PBO-0.4 (-4.6,3.8)-0.01 (-4.2, 4.2)Presenteeism, N145145147147162163LSmean-20.1 (-23.7,-16.6)-22.4 (-26.3,-18.6)-19.6 (-23.2,-16.1)-25.7 (-29.5,-21.8)-10.5 (-13.9,-7.0)-18.5 (-22.2,-14.7)Diff vs PBO-9.7* (-14.4,-5.0)-9.2* (-13.9,-4.5)Work productivity, N145145147147162163LSmean-20.1 (-24.1,-16.1)-22.6 (-26.8,-18.3)-19.2 (-23.1,-15.2)-25.9 (-30.0,-21.7)-10.6 (-14.4,-6.8)-17.6 (-21.7,-13.6)Diff vs PBO-9.5* (-14.8,-4.2)-8.6* (-13.9,-3.3)Non-work Activity, N242242246246245245LSmean-20.5 (-23.3,-17.7)-25.7 (-28.6,-22.7)-21.2 (-23.9,-18.4)-25.4 (-28.4,-22.5)-9.9 (-12.6,-7.1)-22.3 (-25.3,-19.4)Diff vs PBO-10.6* (-14.4,-6.8)-11.3* (-15.1,-7.5)

CI=Confidence interval

a. LSmean for each MI dataset is calculated based on an ANCOVA model for the change from baseline at W24/W52. The combined LSmean, which is the average of the LSmean, taken over all the MI datasets, is presented.

*p<0.05

Disclosure of Interests:

Jeffrey Curtis Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, and UCB, Iain McInnes Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Gilead, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: Bristol-Myers Squibb, Celgene, Eli Lilly and Company, Janssen, and UCB, Steve Peterson Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Prasheen Agarwal Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Feifei Yang Shareholder of: Johnson & Johnson, Employee of: Janssen Global Services, LLC, Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Chenglong Han Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, William Tillett Speakers bureau: AbbVie, Amgen, Celgene, Lilly, Janssen, Novartis, Pfizer Inc, and UCB, Consultant of: AbbVie, Amgen, Celgene, Lilly, Janssen, Novartis, MSD, Pfizer Inc, and UCB, Grant/research support from: AbbVie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer Inc, and UCB, Philip J Mease Speakers bureau: Boehringer Ingelheim and GlaxoSmithKline, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, SUN, and UCB, Proton Rahman Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Grant/research support from: Janssen and Novartis.

Trends in Axillary Management of Early Breast Cancer: a Questionnaire-Based Pattern of Practice Survey for India

Surgical management of breast cancer (BC) has evolved from radical surgeries to conservative with better cosmetic and comparable oncological outcomes. For axillary staging, it has evolved from axillary lymph node dissection (ALND) to sentinel lymph node biopsy (SLNB). No detailed information exists in terms of the clinical practice pattern of surgical management of axilla for BC patients in India. A questionnaire-based survey was developed. The survey was done at the annual meeting of the Association of Breast Surgeons of India (ABSI) in November 2018. Responses were recorded and analysed by SPSS 23. One hundred twelve out of 400 (28%) responded to the survey. Half of the respondents were surgical oncologist and 36.6% were performing > 150 BC surgeries/year. The primary technique for axillary staging in node-negative BC was SLNB for 68.5% of respondents. Majority of surgeons (47%) reported performing SLNB by methylene blue dye only. Unavailability of radioisotope (46.7%) and lack of frozen section (26.7%) were reported as two major barriers for not performing SLNB. Twenty-three percent did perform SLNB in post-NACT setting. Only 15.8% have omitted completion ALND in Z0011 trial eligible SLN-positive patients. 45.9% skipped completion ALND in SLN positive with micro metastasis only. Many surgeons in India are adopting SLNB as a method of axillary staging into their clinical practice. However, large number of surgeons still believe in conservative approach, most probably due to unavailability of resources and lack of Indian data. Barrier identified in this survey may be useful for future development.

Histopathological evaluation of cutaneous reactions to tattoos: Study at a tertiary care center

BACKGROUND

Tattooing has been around for many years and is becoming an increasingly common fashion trend. As there are often few regulatory laws regarding the practice, an increase in the incidence of cutaneous reactions to tattoo inks is noted. These include allergic reactions, granulomatous dermatitis, infections, lichenoid dermatoses, and sometimes malignancy. The present study examines the histopathological changes seen in patients with cutaneous reactions to tattoo ink.

METHOD

A prospective observational study was conducted over 18 months in the dermatology clinic of a tertiary care center in western India. The study population included 22 patients with cutaneous reactions over the tattoos. Punch biopsy specimens were sent to study the pattern of histopathological response.

RESULTS

All 22 patients studied were between the ages of 17 and 35 years. The mean duration of development of reaction was 8.1 months. Most of the reactions were seen in black ink tattoos performed by amateurs. Perivascular and spongiotic dermatitis suggestive of allergic response was the most common feature on histopathology. Granulomatous response and lichenoid response were seen in five and three biopsies, respectively.

CONCLUSION

Legalization is needed for this practice to prevent tattoo reactions. Histopathological evaluation is important as tattoo reactions may be associated with skin infections and malignancies.

Combining co-culturing of Paenibacillus strains and Vitreoscilla hemoglobin expression as a strategy to improve biodesulfurization

Enhancement of the desulfurization activities of Paenibacillus strains 32O-W and 32O-Y were investigated using dibenzothiophene (DBT) and DBT sulfone (DBTS) as sources of sulphur in growth experiments. Strains 32O-W, 32O-Y and their co-culture (32O-W plus 32O-Y), and Vitreoscilla hemoglobin (VHb) expressing recombinant strain 32O-Yvgb and its co-culture with strain 32O-W were grown at varying concentrations (0·1-2 mmol l^-1 ) of DBT or DBTS for 96 h, and desulfurization measured by production of 2-hydroxybiphenyl (2-HBP) and disappearance of DBT or DBTS. Of the four cultures grown with DBT as sulphur source, the best growth occurred for the 32O-Yvgb plus 32O-W co-culture at 0·1 and 0·5 mmol l^-1 DBT. Although the presence of vgb provided no consistent advantage regarding growth on DBTS, strain 32O-W, as predicted by previous work, was shown to contain a partial 4S desulfurization pathway allowing it to metabolize this 4S pathway intermediate.

Monoblastic Sarcoma- A Rare Case Report of Myeloid Sarcoma Variant

Myeloid sarcoma, also known as chloroma, granulocytic sarcoma, extramedullary Acute Myeloid Leukaemia (AML), myeloblastoma or extramedullary myeloid tumour, is a rare manifestation, characterised by the proliferation of immature myeloid cells, myeloblasts or monoblasts occurring as one or more tumour at an extramedullary site. It is associated with disruption of normal architecture of tissue in which it is found. Monoblastic sarcoma is a rare variant of myeloid sarcoma. Hereby, the authors report a rare case of primary monoblastic sarcoma in a 64-year-old male patient presented with complaint of swelling over right side lower cervical region. He had no history of AML. On physical examination, the swelling was over medial one-third of right clavicle measuring 6×5.8×3 cm. The swelling was excised and sent for histopathological examination, which was diagnosed as monoblastic sarcoma, and confirmed on immunohistochemistry.

Study of Histomorphological Spectrum of Granulomatous Lesions of Skin

Introduction: The granulomatous reaction is defined as a distinctive inflammatory pattern characterised by the granuloma. The term Granuloma was first coined by Virchow in 1864. The granuloma is characterised by collection of activated histiocytes, epithelioid cells and multinucleate giant cells that may or may not be rimed by lymphocytes and/or show central necrosis. The pattern of skin disease varies from one country to another and across different parts within same country. The granulomatous lesions of skin are a common and intriguing problem in developing countries. Aim:To study the histomorphological spectrum of granulomatous lesions of skin. Materials and Methods: This cross-sectional study was conducted in Department of Pathology, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India, over a period of two years (from September 2018 to September 2020). All skin biopsies coming to The Department of Pathology werefixed in 10% neutral buffered formalin for duration of 12 to 24 hours. Paraffin wax blocks were made and 3-4 micrometer section were taken and stained with Haematoxylin and Eosin (H&E), showing granulomas on histology were included in the study. On H&E, stained slide, granulomas were studied for type, morphology and site. Special stains were used for further evaluations and analysis. Results: Out of total 124 cases studied, the maximum patients 34 (27.41%) were of 11-20 years age group. The epithelioid granuloma was the most common type in 76 (61.29%) cases followed by histiocytic granuloma in 24 (19.35%). The infectious granulomatous dermatoses were the most common histological type in which tuberculosis was most common followed by leprosy. Most commonly the lesions were found to involve the whole dermis in 74 (59.68%) cases, followed by upper and mid dermis in 35 (28.23%) cases. Out of 40 cases of leprosy, 17(42.50%) cases were found Wade-Fite Stain positive. Out of total 57 cases of tuberculosis, 31 (54.38%) cases were found Acid-Fast Bacillus (AFB) positive. Conclusion: We concluded that major cause of granulomatous dermatoses in developing countries is still infectious, tuberculosis and leprosy being the leading causes. Histopathology is gold standard for diagnosis and categorisation of granulomatous dermatoses. Special stains are useful in cases of any dilemma.

Diagnostic accuracy of TB-LAMP assay in patients with pulmonary tuberculosis-a case-control study in northern India

SETTING

A tertiary care hospital in North India.

OBJECTIVE

Tuberculosis (TB) remains a major public health problem in developing countries. The diagnosis of tuberculosis is still challenging in primary care settings in endemic countries like India. WHO has endorsed loop mediated isothermal amplification assay (LAMP) for TB as a replacement for smear microscopy for peripheral settings, however, more data is required to establish the specificity of this modality for the diagnosis of TB. In this study we aim to determine the diagnostic accuracy of the TB-LAMP assay in pulmonary tuberculosis.

DESIGN

A total of 236 patients (117 cases suspected of TB and 119 patients with non-TB pulmonary disease) were enrolled between February to July, 2018. Microbiological workups consisting of mycobacterial smear microscopy, culture, Xpert MTB/Rif and TB-LAMP were performed.

RESULTS

From 236 samples, 18 (7.6%) were excluded from the study. TB-LAMP and Xpert MTB/RIF were positive in 46 (21.1%) and 49 (22.5%) of the samples, respectively. The sensitivity of Xpert MTB/RIF and TB-LAMP, when culture was taken as a reference standard, was 90% (95%CI: 78.2-96.7) and 82% (95%CI: 68.6-91.4), respectively. The specificity, positive predictive value (PPV), and negative predictive value (NPV) of TB-LAMP assay were 96.8% (95%CI: 92.8-98.9), 89.1% (95%CI: 77.4-95.2), and 94.4% (95%CI: 90.4-96.5), respectively.

CONCLUSION

The TB-LAMP assay showed a good specificity and sensitivity for detection ofM. tuberculosis in adults, however, for programmatic implementation, more studies are required to be conducted at peripheral level healthcare settings.

Well-posedness of stochastic modified Kawahara equation

In this paper we consider the Cauchy problem for the stochastic modified Kawahara equation, which is a fifth-order shallow water wave equation. We prove local well-posedness for data in $H^{s}(\mathbb{R})$Hs(R), $s\geq -1/4$s≥−1/4. Moreover, we get the global existence for $L^{2}( \mathbb{R})$L2(R) solutions. Due to the non-zero singularity of the phase function, a fixed point argument and the Fourier restriction method are proposed.

Diagnostic accuracy of Xpert MTB/RIF ultra for detection of Mycobacterium tuberculosis in children: a prospective cohort study

The Xpert MTB/RIF Ultra is a recent advancement in molecular diagnostics of tuberculosis (TB) with higher sensitivity compared to its predecessor, the Xpert MTB/RIF assay. Prospective studies evaluating the performance of Xpert MTB/RIF Ultra in children with suspected TB are lacking. In this study, we evaluated the Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis in samples from 156 children, of which one was excluded from the analysis. Of the remaining 155 samples, 6·5% (10/155), 21·3% (33/155), 20% (31/155) and 21·9% (34/155) were positive by smear examination, MGIT culture, Xpert MTB/RIF and Xpert MTB/RIF Ultra, respectively. The Xpert MTB/RIF and Xpert MTB/RIF Ultra had a similar overall sensitivity of 81·8% (95% CI: 64·5-93) and 84·8% (95% CI: 68·1-94·9), respectively. In suspected pediatric TB patients, the Xpert MTB/RIF Ultra had higher sensitivity compared to the Xpert MTB/RIF (72·7 vs 63·6). The AUC (area under the curve) of 0·905 for the Xpert MTB/RIF and 0·893 for the Xpert MTB/RIF Ultra indicate similar and good overall performance. Both Xpert assays were found to be equally efficient, however Xpert MTB/RIF Ultra showed better detection rate in suspected TB cases.

Corrigendum: Foam Cells Control Mycobacterium tuberculosis Infection

[This corrects the article DOI: 10.3389/fmicb.2020.01394.].

Magnetic-Field-Dependent Equilibration of Fractional Quantum Hall Edge Modes

Fractional conductance is measured by partitioning a ν=1 edge state using gate-tunable fractional quantum Hall (FQH) liquids of filling 1/3 or 2/3 for current injection and detection. We observe two sets of FQH plateaus 1/9, 2/9, 4/9 and 1/6, 1/3, 2/3 at low and high magnetic field ends of the ν=1 plateau, respectively. The findings are explained by magnetic field dependent equilibration of three FQH edge modes with conductance e^{2}/3h arising from edge reconstruction. The results reveal a remarkable enhancement of the equilibration lengths of the FQH edge modes with increasing magnetic field.

Foam Cells Control Mycobacterium tuberculosis Infection

Mycobacterium tuberculosis (Mtb) infects macrophages and macrophage-derived foam cells, a hallmark of granulomata in tuberculous lesions. We analyzed the effects of lipid accumulation in human primary macrophages and quantified strong triglyceride and phospholipid remodeling which depended on the dietary fatty acid used for the assay. The enrichment of >70% in triglyceride and phospholipids can alter cell membrane properties, signaling and phagocytosis in macrophages. In conventional macrophage cultures, cells are heterogeneous, small or large macrophages. In foam cells, a third population of 30% of cells with increased granularity can be detected. We found that foam cell formation is heterogenous and that lipid accumulation and foam cell formation reduces the phagocytosis of Mtb. Under the conditions tested, cell death was highly prevalent in macrophages, whereas foam cells were largely protected from this effect. Foam cells also supported slower Mtb replication, yet this had no discernible impact on the intracellular efficacy of four different antitubercular drugs. Foam cell formation had a significant impact in the inflammatory potential of the cells. TNF-α, IL-1β, and prototypical chemokines were increased. The ratio of inflammatory IL-1β, TNF-α, and IL-6 vs. anti-inflammatory IL-10 was significantly higher in response to Mtb vs. LPS, and was increased in foam cells compared to macrophages, suggestive of increased pro-inflammatory properties. Cytokine production correlated with NF-κB activation in our models. We conclude that foam cell formation reduces the host cell avidity for, and phagocytosis of, Mtb while protecting the cells from death. This protective effect is associated with enhanced inflammatory potential of foam cells and restricted intracellular growth of Mtb.

Exploring how virtual primary care visits affect patient burden of treatment

BACKGROUND

There is growing emphasis on the role of digital solutions in supporting chronic disease management. This has the potential to increase the burden patients experience in managing their health by offloading care from the health system to patients. This paper explores the effects of virtual visits on patient burden using an explicit framework measuring both the work patients do to care for their health and the challenges they experience that exacerbate burden.

METHODS

This mixed methods study evaluates a large pilot implementation of virtual visits (video, audio, and asynchronous messaging with providers) in primary care in Ontario, Canada. Participants were recruited using convenience sampling from patients using a virtual visit platform to complete a semi-structured interview or a survey including a free-text response. We conducted 17 interviews and reviewed 427 free text responses related to explore patients' perceived value and burden of these visits. We used qualitative analyses to map patients' feedback on their experience to the framework on patient burden.

MAIN FINDINGS

Virtual visits appear to reduce the work patients must do to manage their care by 1) improving access, convenience, and time needed for medical appointments, and 2) making it easier to access information and support for chronic disease management. Virtual visits also alleviate patients' perceived burden by improving continuity of care, experience of care, and providing some cost savings.

CONCLUSIONS

Virtual visits reduced overall patient burden of treatment by decreasing the required patient effort of managing medical appointments and monitoring their health, and by minimizing challenges experienced when accessing care. For regions that want to improve patient experience of care, virtual visits are likely to be of benefit. There is need for further research on the generalizability of the findings herein, particularly for high-needs populations under-represented such as those of low socioeconomic status and those in rural and remote locations.

Extensive Verrucae over Healed Pemphigus Vulgaris Lesions in an Immunocompetent Female: A Rare Presentation of Wolf's Isotopic Response

Wolf's isotopic response refers to the occurrence of a skin disorder at the site of another unrelated and already healed skin disease. The cases described so far in the literature include herpes (simplex or zoster) as the primary disease in most cases and a myriad of skin diseases as the secondary disease. Here, we report a case where extensive verrucae developed over the sites of healed lesions of pemphigus vulgaris, in an immunocompetent female. Pemphigus vulgaris being the primary disease and absence of verrucae over normal skin makes this case, a rare presentation.