A practical approach to bladder preservation with hypofractionated radiotherapy for localised muscle-invasive bladder cancer

Bladder preservation with trimodality treatment (TMT) is an alternative strategy to radical cystectomy (RC) for the management of localised muscle invasive bladder cancer (MIBC). TMT comprises of transurethral resection of the bladder tumour (TURBT) followed by radiotherapy with concurrent radiosensitisation. TMT studies have shown neo-adjuvant chemotherapy with cisplatin-based regimens is often given to further improve survival outcomes. A hypofractionated radiotherapy regimen is preferable due to its non-inferiority in local control and late toxicities. Radiosensitisation can comprise concurrent chemotherapy (with gemcitabine, cisplatin or combination fluorouracil and mitomycin), CON (carbogen and nicotinomide) or hyperthermic treatment. Radiotherapy techniques are continuously improving and becoming more personalised. As the bladder is a mobile structure subject to volumetric changes from filling, an adaptive approach can optimise bladder coverage and reduce dose to normal tissue. Adaptive radiotherapy (ART) is an evolving field that aims to overcome this. Improved knowledge of tumour biology and advances in imaging techniques aims to further optimise and personalise treatment.

[Predictive value of neutrophil-lymphocyte ratio on admission and before discharge for long-term all-cause death in hospitalized heart failure patients with reduced ejection fraction]

Objective: To evaluate the predictive value of neutrophil-lymphocyte ratio (NLR) on admission and before discharge for long-term all-cause death (ACD) in patients hospitalized with heart failure with reduced ejection fraction (HFrEF). Methods: Patients hospitalized and discharged from hospital alive with the clinical diagnosis of HFrEF in cardiac care unit (CCU) of TEDA International Cardiovascular Hospital from January 2013 to December 2017 were consecutively enrolled. NLR, which was defined as neutrophil counts divided by lymphocyte counts, was measured 1 day within admission and 3 days before discharge to evaluate the prognostic value of admission NLR in combination with discharge NLR for the ACD after discharge by using of multivariate Cox regression analysis. Patients were followed-up until December 2020 or ACD. Results: A total of 368 patients hospitalized with HFrEF were enrolled with an age of (54±14) years, including 79 females (21.5%). During the median (inter-quartile range, IQR) duration of follow-up after discharge of 30 (10, 60) months, 95 patients died, thus, the rate of ACD was 25.8%. Multivariate Cox regression analysis showed that the NLR level before discharge was an independent predictor of ACD after discharge [hazard ratio (HR)=1.143, 95% confidence interval (CI) 1.048-1.248, P=0.003] after adjusting for other parameters such as systolic blood pressure on admission and at discharge, left ventricular end-diastolic diameter on admission, and usage of aldosterone receptor blockers at discharge. Moreover, compared to those with NLR level at admission ≤2.25 and ≤2.00 before discharge, the long-term risk of ACD after discharge was nearly doubled for patients with NLR level at admission>2.25 and>2.00 before discharge (adjusted HR=1.968, 95%CI 1.198-3.234, P=0.008). Conclusions: The NLR level before discharge was an independent predictor of ACD after discharge for patients hospitalized with HFrEF. Combining NLR levels at admission and before discharge help to better predictive the risk of long-term ACD after discharge.

Pericardial adipose tissue-derived leptin promotes myocardial apoptosis in high fat diet-induced obese rats through JAK2/ROS/NKA signaling pathway

Background

Pathophysiologic mechanisms underlying cardiac structural and functional changes in obesity are complex and linked to adipocytokines released from pericardial adipose tissue (PAT) and cardiomyocyte apoptosis. Although leptin is involved in various pathological conditions, its role in paracrine action of pericardial adipose tissue on myocardial apoptosis remains unknown.

Purpose

This study was designed to investigate the role of PAT-derived leptin on myocardial apoptosis in high fat diet-induced obese rats.

Methods and results

Hearts were isolated from lean or high fat diet-induced obese Wistar rats for myocardial remodeling studies. Obese rats had abnormal myocardial structure, diastolic dysfunction, greatly elevated cardiac apoptosis and increased oxidative stress level. Enzyme-linked immunosorbent assay (ELISA) detected significantly higher than circulating leptin level in PAT of obese, but not lean rats. Western blot and immunohistochemical analyses demonstrated increased leptin receptor density in obese heart. H9c2 rat cardiomyoblasts after exposed to PAT-conditioned medium of obese rats exhibited pronounced reactive oxygen species (ROS)-mediated apoptosis, which was partially reversed by leptin antagonist. Moreover, leptin derived from PAT of obese rats inhibited Na+/K+-ATPase activity of H9c2 cells through stimulating ROS, thereby activating calcium-dependent apoptosis. Pretreatment with specific inhibitors revealed that JAK2/STAT3 and PI3K/Akt signaling pathways was involved in the leptin-induced myocardial apoptosis.

Conclusion

PAT-derived leptin induces myocardial apoptosis in high fat diet-induced obese rats via activating JAK2/STAT3/ROS signaling pathway and inhibiting its downstream Na+/K+-ATPase activity.

Funding Acknowledgement

Type of funding sources: Foundation. Main funding source(s): Nature Science Foundation of ChinaKey Projects of Shaanxi Science and Technology Research and Development Plan

Prospective evaluation of first-trimester screening strategy for preterm pre-eclampsia and its clinical applicability in China

OBJECTIVES

To evaluate, in a Chinese population, the performance of a screening strategy for preterm pre-eclampsia (PE) using The Fetal Medicine Foundation (FMF)'s competing-risks model and to explore its clinical applicability in mainland China.

METHODS

This was a prospective, multicenter, observational cohort study including 10 899 women with singleton pregnancy who sought prenatal care at one of 13 hospitals, located in seven cities in mainland China, between 1 December 2017 and 30 December 2019. Mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and maternal serum levels of placental growth factor (PlGF) and pregnancy-associated plasma protein-A (PAPP-A) at 11 + 0 to 13 + 6 weeks' gestation were measured and converted into multiples of the median using Chinese reference ranges. Individualized risk for preterm PE was calculated using the FMF algorithm. Prior risk was calculated based on maternal demographic characteristics and obstetric history. We evaluated the efficiency of the screening strategy using various combinations of biomarkers and analyzed its predictive performance for a composite of placenta-associated adverse pregnancy outcomes, including PE, placental abruption, small-for-gestational age (SGA) and preterm birth, at fixed false-positive rates for preterm PE.

RESULTS

We identified 312 pregnancies that developed PE, of which 117 cases were diagnosed as preterm PE (< 37 weeks' gestation). There were 386 pregnancies complicated by severe composite placenta-associated adverse outcome, including preterm PE, 146 cases of severe SGA (birth weight < 3^rd percentile) neonate, 61 cases with placental abruption and 109 cases of early preterm birth < 34 gestational weeks. The triple-marker model containing biomarkers MAP, UtA-PI and PAPP-A achieved, at fixed false-positive rates of 10%, 15% and 20%, detection rates for preterm PE of 65.0%, 72.7% and 76.1%, respectively, and detection rates for severe composite placenta-associated adverse outcome of 34.7%, 41.7% and 46.4%, respectively. Replacing PAPP-A with PlGF or adding PlGF to the model did not improve the performance. Of women screening positive for preterm PE at a fixed 5% false-positive rate, an estimated 30% developed at least one placenta-associated adverse pregnancy outcome, including PE, placental abruption, SGA (birth weight < 10^th percentile) and preterm birth < 37 weeks.

CONCLUSIONS

The FMF competing-risks model for preterm PE was found to be effective in screening a mainland Chinese population. Women who screened positive for preterm PE had increased risk for other placenta-associated pregnancy complications. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.

[Effect of neuregulin-1 on cardiac glucose metabolism in rats with experimental myocardial infarction]

Objective: To investigate the effect of neuregulin-1(NRG-1) on cardiac glucose metabolism in Sprague Dawley (SD) rats with experimental myocardial infarction (MI). Methods: Adult male SD rats were randomly divided into three groups: the sham-operated group, MI group, and MI+NRG1 group. The rat MI model was established via ligation of the left anterior descending coronary artery. Two weeks after operation, echocardiography was performed, MI rats with left ventricular ejection fraction (LVEF) between 0.3-0.5 were selected and randomly assigned to MI group and MI+NRG-1 group. Rats in MI+NRG-1 group were treated with recombinant human NRG-1β (100 μg/kg) via tail vein at 2 weeks after operation (twice per week for 6 weeks); while rats in sham-operated group and MI group received equal volume of physiological saline. By the end of administration, echocardiography and small animal positron emission tomography (PET) were performed to detect cardiac function and myocardial glucose uptake. Myocardial morphology and collagen volume fraction, cardiomyocyte apoptosis and reactive oxygen species (ROS) production were evaluated by histopathologic analysis. Myocardial pyruvate dehydrogenase (PDH) and citrate synthase (CS) activity, as well as ATP production were detected by commercial kits. The mRNA and protein expression levels of NRG-1, p-ErbB4, and key factors involved in glucose metabolism (including Glut-4, HK2, PDK4, PDH, CS) were detected by quantitative real-time PCR (qRT-PCR) and Western blot assay, respectively. Results: With the MI model successfully established, the left ventricular ejection fraction(LVEF) and left ventricular shortening fraction(LVFS) were significantly lower in MI group and MI+NRG-1 group than that in sham group (both P<0.01), while there was no significant difference between MI group and MI+NRG-1 group(all P>0.05). After 6 weeks of NRG-1β intervention, the LVEF and LVFS were significantly higher in MI+NRG-1 group than in MI group (both P<0.01). By the end of experiment, PET imaging showed that the mean standardized uptake value (SUVmean) were lower in MI+NRG-1 group than in the sham group (4.06±0.28 vs. 5.18±0.37, P<0.01), while significantly higher than that in MI group (4.06±0.28 vs.2.86±0.49, P<0.01). Histopathological analysis showed that compared with MI group, rats in MI+NRG-1 group exhibited significantly decreased left ventricle collagen volume fraction ((7.83±1.24) % vs. (18.31±3.58) %, P<0.01), cardiomyocyte apoptosis((37.98±4.26)% vs. (67.04±5.38)%, P<0.01), and DHE fluorescence intensity(0.057 28±0.007 06 vs. 0.076 94±0.008 46, P<0.01), indicating that NRG-1β could reduce ROS production. PDH activity, CS activity, and ATP production were significantly higher in MI+NRG-1 group than in MI group (all P<0.05). qRT-PCR demonstrated an upregulated Glut-4, HK2 and CS, but downregulated PDK4 mRNA expression in MI+NRG-1 group compared with MI group (all P<0.01). Western blot assay showed significantly higher protein expression of NRG-1, p-ErbB4, Glut-4, HK2, PDH, CS in MI+NRG-1 group than in MI group (all P<0.01). Conclusion: NRG-1 could improve glucose uptake and utilization in myocardium by activating phosphorylation of myocardial ErbB4 receptor in MI rats, thus providing a therapeutic option for improving energy metabolism after MI.

[Clinicopathological features and prognostic impact of MELF pattern in 512 endometrioid adenocarcinoma]

Objective: To investigate the relationship of microcystic elongated fragmented (MELF) and clinicopathological features of patients with low grade endometrial endometrioid carcinoma, and to analyze its impact on prognosis. Methods: The clinical pathological data of 512 cases with low grade endometrial endometrioid adenocarcinoma were collected. The MELF invasive pattern in all of the sections were reappraised. The correlations between MELF pattern and clinicopathological features were analyzed by chi-square test, and the independent risk factor of lymph node metastasis were evaluated by Logistic multivariate regression analysis. Survival curves was drawn by Kaplan-Meier method, and Log-rank test was used to compare progression free survival (PFS) between patients with or without MELF pattern. Disease progression-related multivariate analysis was carried out by Cox proportional hazards model. Results: MELF pattern was observed in 12.9% (66/512) low grade endometrioid adenocarcinoma. It was significantly associated with cervical stroma invasion, more than half of the depth of myometrial invasion, lymph node metastasis and vessel invasion (P<0.05). In addition, MELF pattern was an independent risk factor for lymph node metastasis (P<0.05). The 5-year PFS of patients with and without MELF pattern were 95.0% and 96.0% respectively (P>0.05). Conclusions: The patients with MELF pattern are more likely accompany with cervical stroma and deeper myometrium invasion, vessel invasion, and lymph node metastasis, and it is an independent risk factor of lymph node metastasis. However, MELF pattern has no significant impact on prognosis of patients with endometrioid carcinoma.

[Genetic characterization analysis of the whole genome sequence of Coxsackievirus A8 associated with hand, foot and mouth disease in China]

Objective: To study the genomic sequence of Coxsackievirus A8 (CV-A8) associated with hand, foot and mouth disease (HFMD) from 2013 to 2018 in China and to analyze the genetic evolution of each coding region of the full-length genome. Methods: The genome sequences of 11 CV-A8 strains isolated from patients with HFMD in different regions of China from 2013 to 2018 were determined. Sequence alignment and genetic evolution analysis were performed by Sequencher 5.0 and MEGA 7.0 software, etc. Results: Sequence alignment showed that the genome length of 11 CV-A8 strains ranged from 7 393 bp to 7 400 bp. There was no base insertion or deletion in the coding region compared with the prototype strain, but there were individual base insertion or deletion in the non-coding region. The nucleotide and amino acid similarities in the VP1 region of 11 CV-A8 strains were 78.3%-98.6% and 92.6%-99.7%, respectively, and the nucleotide and amino acid sequences identities with the CV-A8 prototype strain were 78.3%-98.2% and 92.6%-99.7%, respectively. Based on the phylogenetic analysis of VP1 region sequences, the CV-A8 can be divided into five genotypes: A, B, C, D and E. The 11 CV-A8 strains in this study belonged to genotypes C (1 strain), D (2 strains) and E (8 strains). The nucleotide and amino acid similarities of 11 CV-A8 full-length genomes were 81.3%-98.8% and 95.9%-99.5%, respectively. The phylogenetic tree of the P2 region showed that the eight E genotypes CV-A8 had the closest evolutionary distance with CV-A4, CV-A14, and CV-A16. The phylogenetic tree of the P3 region showed that the eight E genotypes CV-A8 had a close evolutionary distance with CV-A5, CV-A16, CV-A14 and CV-A4. Conclusions: The 11 CV-A8 stains in this study showed significant intra-genotype diversity in capsid region and recombinant diversity in non-capsid region which indicated that CV-A8 quasispecies were still undergoing dynamics variation. CV-A8 may become an important pathogen of HFMD and the monitoring of CV-A8 needs to be further strengthened.

The association between citrus consumption and melanoma risk in the UK Biobank

BACKGROUND

Melanoma incidence has been dramatically increasing worldwide. Psoralen, a known photocarcinogen, is naturally abundant in citrus products, leading to the hypothesis that high citrus consumption may increase melanoma risk.

OBJECTIVES

To investigate the association between total citrus consumption and melanoma risk, and the association between individual citrus products and melanoma risk, and to test for interactions between total citrus intake and established melanoma risk factors.

METHODS

Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between citrus consumption and melanoma risk among 1592 cases and 197 372 controls from the UK Biobank cohort. Citrus consumption data were collected via five rounds of 24-h recall questionnaires. International Classification of Diseases codes were used to determine melanoma outcome.

RESULTS

After adjusting for potential confounders, participants in the highest category of total citrus intake (> 2 servings per day) had a significantly increased risk of melanoma (OR 1·63, 95% CI 1·24-2·12) relative to those with no consumption. For individual citrus products, participants with the most orange and orange juice consumption (> 1 serving per day) had a significantly increased melanoma risk relative to those with no consumption (OR 1·79, 95% CI 1·07-2·78 and OR 1·54, 95% CI 1·10-2·10, respectively). Fair- or very fair-skinned participants with high citrus consumption had an even greater melanoma risk (OR 1·75, 95% CI 1·31-2·29).

CONCLUSIONS

High citrus consumption was associated with an increased risk of melanoma in a large, prospective, population-based cohort. Further validation of these findings could lead to improved melanoma prevention strategies.

[Role of gut-liver-immune axis in the pathogenesis of nonalcoholic steatohepatitis]

Nonalcoholic fatty liver disease (NAFLD) has become the most common chronic liver disease in the world. Liver cirrhosis, liver cancer and a variety of extrahepatic chronic diseases are important risk factors for NAFLD. Currently, there is still a lack of effective therapeutic drugs. Liver inflammation is a key driving factor for the progression of NAFLD, so regulating liver inflammation may provide a potential means to delay and reverse the progression of nonalcoholic steatohepatitis (NASH). Studies have found that the gut-liver-immune axis plays an important role in the progression of NASH. Gut microbiota can use its metabolites to induce glycolipid toxicity, oxidative stress and intestinal barrier damage, while bacterial components such as lipopolysaccharides, peptidoglycans, bacterial DNA and extracellular vesicles can translocate into the liver through the damaged intestinal barrier, causing excessive activation of immune cells, thus aggravating liver inflammation and promoting the progress of NASH. This paper focuses on the gut-liver-immune axis to analyze the gut microbiota mediated liver immunity and its mechanism in the occurrence and development of NASH, so as to lay a theoretical foundation for the research and development of new therapeutic strategies for NASH.

Assessing alfalfa (Medicago sativa L.) tolerance to salinity at seedling stage and screening of the salinity tolerance traits

Salt is among the most harmful agents that negatively influences crop yield. Alfalfa is an important perennial forage crop that exhibits wide cultivar variations in salt tolerance. Developing salt-tolerant alfalfa plants is a promising way to utilize salinized land. A comprehensive method was developed to achieve reliable and effective evaluation of alfalfa salt resistance. This included principal components, membership functions and cluster and stepwise regression analyses. These were used to analyse the salt tolerance coefficients of 14 traits and to evaluate 20 diverse alfalfa cultivars at the seedling stage. The various morphological root parameters of six alfalfa cultivars with contrasting salt tolerance were also tested by a scanning apparatus. According to the comprehensive evaluation value (D value), one highly salt-tolerant, two salt-tolerant, four moderately salt-tolerant and 13 salt-sensitive alfalfa cultivars were screened. A mathematical equation for the evaluation of alfalfa salt tolerance was established: D' = -0.126 + 0.667SFW + 0.377SDW + 1.089K⁺ /Na⁺  + 0.172SFW/RFW (R²  = 0.988; average forecast accuracy of 96.95%), where four indices were closely related to the salt tolerance: shoot fresh weight, ratio of shoot fresh weight to root fresh weight, shoot dry weight and ratio of K⁺ to Na⁺ in the shoot. We also found that SSA correlated strongly with SFW, SDW, K⁺ /Na⁺ , D values, while SRV correlated obviously with SFW, SFW/RFW and D values after 150 mm NaCl treatment. In conclusion, the SFW, K⁺ /Na⁺ , SDW, SFW/RFW, SSA and SRV could be used as indicators of salt tolerance in alfalfa seedlings grown under 150 mm NaCl treatment.

OP0128 INTEGRATED LABORATORY ABNORMALITY PROFILES OF UPADACITINIB WITH UP TO 4.5 YEARS OF EXPOSURE IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED IN THE SELECT PHASE 3 PROGRAM

Background:

Upadacitinib (UPA) is an oral Janus kinase inhibitor approved for rheumatoid arthritis (RA). The safety and efficacy of UPA has been evaluated across a spectrum of patients (pts) with RA in the phase 3 SELECT clinical program.1,2

Objectives:

To describe long-term laboratory profiles (cutoff date: June 30, 2020) associated with exposure to UPA, adalimumab (ADA), and methotrexate (MTX) in pts with RA treated in the SELECT trials.

Methods:

Data were analyzed from 6 randomized controlled UPA RA trials.1,2 The proportions of pts experiencing potentially clinically significant laboratory changes at a single time point were summarized for the following groups: pooled UPA 15 mg once daily (QD; UPA15; 6 trials), pooled UPA 30 mg QD (UPA30; 4 trials), ADA 40 mg every other week (EOW; 1 trial), and MTX monotherapy (1 trial). Pts received UPA with/without background conventional synthetic disease-modifying antirheumatic drugs. Treatment-emergent adverse events are reported as exposure-adjusted event rates (events/100 pt-years [E/100 PY]). Toxicity was graded per OMERACT criteria, or NCI CTCAE for creatine phosphokinase (CPK) and creatinine.

Results:

4413 pts received ≥1 dose of UPA (UPA15, n=3209; UPA30, n=1204). Exposures were comparable between treatment groups (Table). Proportions of pts with Grade (Gr) 3 and 4 decreases in hemoglobin were highest with UPA30 and MTX (Table). Rates of anemia, as reported by the investigator, were comparable between UPA15, ADA, and MTX groups (Figure); the frequency of UPA-treated pts who discontinued due to anemia was low in all arms. Gr 3 and 4 decreases in neutrophils and lymphocytes with UPA were dose-dependent and higher vs ADA or MTX. Discontinuations due to neutropenia and lymphopenia were rare (<0.1%). Transaminase elevations were more frequent with UPA and MTX vs ADA; however, the proportion of pts who discontinued due to increases in alanine (ALT) or aspartate aminotransferase (AST) were comparable between UPA15 and ADA, and numerically higher with UPA30 and MTX. CPK elevations were more frequent with UPA (Figure). Most events were asymptomatic, and the 1 case of rhabdomyolysis in the UPA30 group was unrelated to study drug (attributed to influenza).

Table 1.

Pts with potentially clinically significant laboratory changes

Variable, n (%)MTX monotherapy (n=314; 637.4 PY)ADA 40 mg EOW (n=579; 1051.8 PY)UPA 15 mg QD (n=3209; 7023.8 PY)UPA 30 mg QD (n=1204; 3091.6 PY)Mean (SD) exposure, weeks106 (67)95 (70)114 (64)134 (66)Median (range) exposure, weeks144 (1, 221)118 (2, 231)136 (0, 232)160 (0, 231)Hemoglobin, g/LGr 3 (70–<80 or decreased 21–<30)28a (9.0)24b (4.2)254d (7.9)169f (14.2)Gr 4 (<70 or decreased ≥30)16a (5.1)16b (2.8)101d (3.2)78f (6.5)Neutrophils, 109/LGr 3 (0.5–<1.0)3a (1.0)3b (0.5)40d (1.2)37g (3.1)Gr 4 (<0.5)1a (0.3)1b (0.2)10d (0.3)5g (0.4)Lymphocytes, 109/LGr 3 (0.5–<1.0)74a (23.7)53b (9.2)802d (25.1)423g (35.5)Gr 4 (<0.5)5a (1.6)3b (0.5)75d (2.3)47g (3.9)ALT, U/LGr 3 (3.0–8.0 × ULN)26a (8.3)13c (2.3)152e (4.8)71h (5.9)Gr 4 (>8.0 × ULN)5a (1.6)4c (0.7)26e (0.8)10h (0.8)AST, U/LGr 3 (3.0–8.0 × ULN)15a (4.8)9c (1.6)101e (3.2)36h (3.0)Gr 4 (>8.0 × ULN)1a (0.3)5c (0.9)18e (0.6)8h (0.7)CPK, U/LGr 3 (>5.0–10.0 × ULN)2a (0.6)3c (0.5)65e (2.0)36i (3.0)Gr 4 (>10.0 × ULN)0a (0)3c (0.5)27e (0.8)15i (1.3)Creatinine, μmol/LGr 3 (>3.0–6.0 × ULN)0a (0)1c (0.2)3e (<0.1)2j (0.2)Gr 4 (>6.0 × ULN)0a (0)4c (0.7)8e (0.3)1j (<0.1)

an=312. bn=576. cn=577. dn=3201. en=3199. fn=1193. gn=1192. hn=1195. in=1196. jn=1197

ULN, upper limit of normal

Conclusion:

This long-term analysis of UPA-treated pts with RA showed dose-dependent relationships for several laboratory abnormalities. Incidences of these with UPA15 were typically higher than with ADA but similar to MTX, except for increased CPK elevations. Treatment discontinuations due to laboratory abnormalities were infrequent and similar across all treatment groups.

References:

[1]Tanaka Y. Mod Rheumatol 2020;30:779–87; 2. Rubbert-Roth A, et al. N Engl J Med 2020;383:1511–21.

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Russell Craddock, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Christina Charles-Schoeman Consultant of: AbbVie, Gilead, Pfizer, and Sanofi/Regeneron, Grant/research support from: AbbVie, Bristol-Myers Squibb, and Pfizer, Jon T Giles Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, Pfizer, and UCB, Grant/research support from: Pfizer, Nancy Lane Consultant of: Amgen, Mallinckrodt, Pfizer, and Roche, Ernest Choy Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Regeneron, Roche, Sanofi, and UCB, Consultant of: AbbVie, Amgen, Biocon, Biogen, Chugai, Eli Lilly, Gilead, Janssen, Merck Serono, Novartis, Pfizer, Regeneron, Roche, R-Pharm, and Sanofi, Grant/research support from: Bio-Cancer, Biogen, Novartis, Pfizer, Roche, Sanofi, and UCB, Daniel Furst Speakers bureau: AbbVie, Continuing Medical Education, and Novartis, Consultant of: Actelion, Amgen, Bristol-Myers Squibb, Corbus, Galapagos, Novartis, and Pfizer, Grant/research support from: Actelion, Amgen, Bristol-Myers Squibb, Corbus, Galapagos, GSK, NIH, Novartis, Pfizer, Roche/Genentech, and Sanofi, Jiří Vencovský Speakers bureau: AbbVie, Biogen, MSD, Pfizer, Roche, Sanofi, and UCB, Consultant of: AbbVie, Boehringer Ingelheim, Eli Lilly, Gilead, and Octapharma, Anthony G Wilson: None declared, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, Roche, and UCB, Consultant of: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, Roche, and UCB, Tim Shaw Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Heidi Camp Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Nasser Khan Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Jillian Yee Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Iain McInnes Consultant of: AbbVie, Celgene, Janssen, Novartis, and UCB, Grant/research support from: Celgene, Janssen, Novartis, Pfizer, Roche, and UCB

POS0656 RELATIONSHIP BETWEEN CHANGES IN LIPID LEVELS AND IMPROVEMENT IN DISEASE ACTIVITY OUTCOMES IN PATIENTS WITH RHEUMATOID ARTHRITIS RECEIVING UPADACITINIB TREATMENT: POOLED ANALYSIS OF DATA FROM TWO PHASE 3 STUDIES

Background:

Upadacitinib (UPA) is an oral Janus kinase (JAK) inhibitor engineered to have greater selectivity for JAK1 vs JAK2, JAK3, and tyrosine kinase 2, and is approved for the treatment of RA. Across 2 double-blind, placebo (PBO)-controlled Phase 3 studies of UPA in patients with RA, after an initial increase through Week 8, lipid levels remained stable up to Week 24.1,2 Previous studies of JAK or IL-6 receptor inhibitors have reported a negative correlation between changes in lipid levels and RA disease activity.3,4

Objectives:

To determine the relationship between changes in lipid levels and disease activity outcomes in patients with RA treated with UPA.

Methods:

Patients with RA and an inadequate response to conventional synthetic/biologic DMARDs (cs/bDMARD-IR) from SELECT-NEXT/SELECT-BEYOND, respectively, were randomized to receive UPA 15 mg once daily (QD), UPA 30 mg QD, or PBO for 12 weeks followed by an extension of up to 5 years; patients randomized to PBO switched to UPA 15 or 30 mg after 12 weeks. Spearman correlations of maximum changes from baseline (BL) through Week 12 in fasting-state lipid levels (low- and high-density lipoprotein cholesterol [LDL-C; HDL-C], and total cholesterol [TC]) with clinical disease activity outcomes measured by change from BL in Clinical Disease Activity Index (CDAI), DAS of 28 joints using CRP (DAS28[CRP]), tender/swollen joint count in 28 joints (TJC28/SJC28), and pain by visual analog scale (VAS) at Weeks 12 and 24, were determined. Spearman correlations of maximum changes from BL in lipid levels and CRP through Week 12 were also determined.

Results:

Available fasting samples from 1,160 pooled patients (UPA 15 mg, n=386; UPA 30 mg, n=384; PBO, n=390) were included. Modest, but statistically significant, negative correlations were observed between maximum changes from BL in TC through Week 12 and change from BL in CDAI, DAS28(CRP), SJC28, and pain (VAS) at Week 12 with UPA 15 or 30 mg (Figure 1); similar trends were observed at Week 24. Significant correlations between changes in LDL-C and HDL-C and disease activity outcomes were also observed, but were not consistent across UPA doses and time points. No significant correlations were noted between changes in lipid levels and disease activity outcomes in the PBO group. Statistically significant weak negative relationships were observed between maximum changes from BL in lipid levels and CRP levels through Week 12 with UPA 15 mg (HDL-C and TC) or UPA 30 mg (LDL-C and TC) (Table 1).

Conclusion:

In this large pooled data set of patients receiving UPA, increases in lipid levels showed modest, but statistically significant, correlations with improvement in clinical disease activity outcomes in patients with cs/bDMARD-IR RA. These results add to evidence suggesting a relationship between systemic inflammation and lipid metabolism in patients with RA, which is modifiable with effective interventions, and reinforce the importance of monitoring for hyperlipidemia in these patients.

References:

[1]Burmester GR, et al. Lancet 2018;391:2503–12.

[2]Genovese MC, et al. Lancet 2018;391:2513–24.

[3]Kremer JM, et al. Arthritis Rheumatol 2017;69:943–52.

[4]Cacciapaglia F, et al. Mediators Inflamm 2018;2018:2453265.

Table 1.

Spearman correlation of maximum changes from BL in lipid levels through Week 12 with maximum change from BL in CRP through Week 12

UPA 15 mg QDUPA 30 mg QDPBOLDL-C-0.099 (n=303)-0.174** (n=302)-0.053 (n=303)HDL-C-0.184** (n=305)-0.087 (n=304)-0.024 (n=303)TC-0.189*** (n=305)-0.236*** (n=304)-0.056 (n=303)

**p<0.01, ***p<0.001.

HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein

cholesterol; PBO, placebo; QD, once daily; TC, total cholesterol; UPA, upadacitinib

Acknowledgements:

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing assistance was provided by Frances Smith, PhD, of 2 the Nth, which was funded by AbbVie.

Disclosure of Interests:

Christina Charles-Schoeman Consultant of: AbbVie, Gilead, Pfizer, and Regeneron-Sanofi., Grant/research support from: AbbVie, Bristol-Myers Squibb, and Pfizer, Jon T Giles Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, and Gilead, Grant/research support from: Pfizer, Nancy Lane Speakers bureau: Amgen and Mallinckrodt, Consultant of: Amgen, Mallinckrodt, Pfizer, and Roche, Ernest Choy Speakers bureau: AbbVie, Amgen, AstraZeneca, Bio-Cancer, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Chugai Pharma, Eli Lilly, Ferring Pharmaceuticals, GlaxoSmithKline, Hospira, Janssen, Merck Sharp & Dohme, Napp, Novimmune, Novartis, ObsEva, Pfizer, Regeneron, Roche, R-Pharm, Sanofi, SynAct Pharma, Synovate, Tonix, and UCB, Grant/research support from: AbbVie, Amgen, AstraZeneca, Bio-Cancer, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Chugai Pharma, Eli Lilly, Ferring Pharmaceuticals, GlaxoSmithKline, Hospira, Janssen, Merck Sharp & Dohme, Napp, Novimmune, Novartis, ObsEva, Pfizer, Regeneron, Roche, R-Pharm, Sanofi, SynAct Pharma, Synovate, Tonix, and UCB, Heidi Camp Shareholder of: AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: AbbVie, Employee of: AbbVie, Iain McInnes Consultant of: AbbVie, Celgene, Janssen, Novartis, and UCB, Grant/research support from: Celgene, Janssen, Novartis, Pfizer Inc., Roche, and UCB

POS0670 ROUTINE ASSESSMENT OF PATIENT INDEX DATA 3 (RAPID3) IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED WITH LONG-TERM UPADACITINIB THERAPY

Background:

Routine Assessment of Patient Index Data 3 (RAPID3) is a pooled index of 3 patient-reported measures: patient global assessment, pain, and physical function. RAPID3 was shown to correlate with other composite measures of disease activity1 and is recommended by the American College of Rheumatology for use in clinical practice.2

Objectives:

To evaluate the impact of upadacitinib (UPA) versus comparators on RAPID3 over 60 weeks, as well as the correlation of RAPID3 scores with other disease measures in the UPA phase 3 SELECT clinical program.

Methods:

This post hoc analysis included placebo-controlled (SELECT-NEXT, -BEYOND, and -COMPARE) and active comparator-controlled (SELECT-EARLY, -MONOTHERAPY, and -COMPARE) trials. Patients received UPA as monotherapy or in combination with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs). Mean change from baseline in RAPID3 and the proportion of patients reporting RAPID3 remission (≤3), low (LDA, >3 to ≤6), moderate (MDA, >6 to ≤12), and high disease activity (HDA, >12) were assessed. Correlations between absolute scores for RAPID3 and Clinical Disease Activity Index (CDAI), Simplified Disease Activity Index (SDAI), and 28-joint Disease Activity Score with C-reactive protein (DAS28[CRP]) were assessed using Spearman correlation coefficients. All data are as observed.

Results:

A total of 661, 498, 648, 1629, and 945 patients were included from SELECT-NEXT, -BEYOND, -MONOTHERAPY, -COMPARE, and -EARLY. At baseline, the majority of patients across all studies were in RAPID3 HDA (mean baseline RAPID3 [across all studies], 17.2–19.2) (Table 1 and Figure 1). Improvements from baseline in RAPID3 were observed with UPA 15 mg and 30 mg through Week 60, with numerically greater improvements observed with UPA compared with active comparators (Table 1). Across studies, mean improvements in RAPID3 exceeded the minimal clinically important difference (MCID) with UPA and adalimumab (ADA) treatment (MCID=3.83). By Week 60, approximately one-half of UPA-treated patients were in RAPID3 remission or LDA, with only 10–25% remaining in HDA, except for the more refractory population in SELECT-BEYOND, in which ~38% of patients remained in HDA (Figure 1). RAPID3 scores moderately to strongly correlated with CDAI (ρ=0.69–0.83), SDAI (ρ=0.69–0.82), and DAS28(CRP) (ρ=0.58–0.77), across all studies, at Week 60 (all p<0.001).

Conclusion:

UPA, as monotherapy or in combination with csDMARDs, was associated with improvements in patient-reported disease activity, pain, and physical function, as assessed by RAPID3 over 60 weeks in the phase 3 SELECT clinical program. RAPID3 continues to be an important tool in clinical practice to assess disease activity, as it was shown to correlate to other disease activity measures and allows for rapid scoring.

References:

[1]Pincus T, et al. Arthritis Care Res (Hoboken) 2010;62:181–9.

[2]England BR, et al. Arthritis Care Res (Hoboken) 2019;71:1540–55.

[3]Ward MM, et al. J Rheumatol 2019;46:27–30.

Table 1.

Change from BL in RAPID3 at Week 60 (as observed)

Phase 3 studyGroupnaMean (SD) BL scoreMean (SD) change from BLbSELECT-EARLYc(MTX-naïve)MTX23618.5 (5.6)−9.6 (7.5)UPA 15 mg QD26918.9 (5.6)−12.0 (7.6)UPA 30 mg QD25318.2 (5.6)−13.4 (7.2)SELECT-NEXT(csDMARD-IR)UPA 15 mg QD17217.7 (5.1)−11.1 (7.3)UPA 30 mg QD17217.6 (5.3)−10.4 (6.8)SELECT-MONOTHERAPY(MTX-IR)UPA 15 mg QD17217.4 (5.8)−9.6 (7.4)UPA 30 mg QD18017.2 (5.9)−10.6 (7.2)SELECT-COMPAREc(MTX-IR)UPA 15 mg QD55218.5 (5.5)−10.2 (7.1)ADA 40 mg EOW26418.7 (5.4)−8.8 (6.7)SELECT-BEYOND(bDMARD-IR)UPA 15 mg QD13319.2 (5.1)−8.6 (6.8)UPA 30 mg QD11818.5 (5.3)−9.3 (7.3)

b, biologic; BL, baseline; EOW, every other week; IR, inadequate response; MTX, methotrexate; QD, once daily; SD, standard deviation

aNumber of patients with RAPID3 values at both BL and Week 60. bNegative values indicate improvement from BL. cObserved data include patients rescued to UPA and/or ADA; treatment effect may include both the randomized and switch treatments in these patients

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Grant Kirkpatrick, MSc, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Martin Bergman Shareholder of: Johnson & Johnson, Speakers bureau: AbbVie, Celgene, GSK, MSD, Novartis, Pfizer, and Sanofi/Regeneron, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Genentech/Roche, Gilead, Horizon, Janssen, MSD, Novartis, Pfizer, Sandoz, Sanofi/Regeneron, and Scipher, Maya H Buch Consultant of: AbbVie, Eli Lilly, Merck-Serono, Pfizer, Sandoz, and Sanofi, Grant/research support from: Pfizer, Roche, and UCB, Yoshiya Tanaka Speakers bureau: AbbVie, Asahi Kasei, Astellas, Bristol-Myers Squibb, Chugai, Daiichi Sankyo, Eisai, Eli Lilly, GSK, Janssen, Mitsubishi Tanabe, Novartis, Pfizer, Sanofi, Takeda, UCB, and YL Biologics, Grant/research support from: AbbVie, Astellas, Bristol-Myers Squibb, Chugai, Daiichi Sankyo, Eisai, Mitsubishi Tanabe, MSD, Ono, Taisho Toyama, and Takeda, Gustavo Citera Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Genzyme, Pfizer, and Roche, Sami Bahlas: None declared, Ernest Wong Consultant of: AbbVie, Chugai, Eli Lilly, MSD, Novartis, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, Chugai, Novartis, and UCB, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Namita Tundia Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Jessica Suboticki Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Vibeke Strand Consultant of: AbbVie, Amgen, Arena, AstraZeneca, Bayer, Bristol-Myers Squibb, Boehringer Ingelheim, Celltrion, Eli Lilly, Gilead, Ichnos, Inmedix, Janssen, Kiniksa, MSD, Myriad Genetics, Novartis, Pfizer, Regeneron, Samsung, Sandoz, Sanofi, Scipher, Setpoint, and UCB.

POS0671 CLINICAL RESPONSES TO UPADACITINIB OR ABATACEPT IN PATIENTS WITH RHEUMATOID ARTHRITIS BY TYPE OF PRIOR BIOLOGIC DISEASE-MODIFYING ANTIRHEUMATIC DRUG: DATA FROM THE PHASE 3 SELECT-CHOICE STUDY

Background:

In the phase 3 double-blind SELECT-CHOICE study of patients (pts) with prior inadequate response (IR) or intolerance to biologic disease-modifying antirheumatic drugs (bDMARDs), upadacitinib (UPA) showed superiority to abatacept (ABA) in change from baseline in 28-joint Disease Activity Score using C-reactive protein (DAS28[CRP]) and in the proportion of pts achieving DAS28(CRP) <2.6 at Week 12.

Objectives:

To describe clinical responses in pts receiving UPA or ABA by number and mechanism of action of prior bDMARDs.

Methods:

612 pts were randomized to once-daily UPA 15 mg or monthly intravenous ABA (<60 kg, 500 mg; 60–100 kg, 750 mg; >100 kg, 1000 mg). All pts continued background therapy with stable conventional synthetic DMARDs. From Week 12, pts who did not achieve ≥20% improvement in both tender and swollen joint counts vs baseline at 2 consecutive visits had background medication(s) adjusted or added. In this post hoc analysis, pts were grouped by the number and/or type of bDMARD received prior to enrollment: 1) lack of efficacy (LoE) to ≥1 tumor necrosis factor (TNF) inhibitor; 2) LoE to ≥1 interleukin-6 (IL-6) inhibitor; 3) intolerance to prior bDMARDs; 4) number of prior bDMARDs (1, 2, or ≥3). Mean change from baseline in DAS28(CRP) and DAS28(CRP) <2.6 and other clinical endpoints were evaluated at Weeks 12/24.

Results:

Most pts had LoE to ≥1 TNF inhibitor (536, 87.6%); 96 (15.7%) had LoE to an IL-6 inhibitor; 79 (12.9%) had intolerance to prior bDMARDs; 408 (66.7%), 134 (21.9%), and 64 (10.5%) had received 1, 2, or ≥3 prior bDMARDs, respectively. Mean change from baseline in DAS28(CRP) was generally greater with UPA vs ABA across the different pt subgroups at Weeks 12/24 (Figure 1). Across endpoints, regardless of prior bDMARD therapy (except in those who failed ≥3 prior bDMARDs), UPA and ABA demonstrated similar responses at Week 12 compared with those observed for the overall treatment groups, even with more stringent criteria such as ACR70 and Clinical Disease Activity Index (CDAI) ≤2.8 (Table 1. below) Responses at Week 24 followed a similar trend to those at Week 12 for DAS28(CRP) <2.6 and other endpoints (Table 1). The safety profile across subgroups was consistent with each respective treatment in the overall study population (data not shown).

Table 1.

Efficacy endpoints by prior bDMARD subgroup (Week 12 [top] and Week 24 [bottom])a

ACR20ACR50ACR70DAS28(CRP)≤3.2DAS28(CRP) <2.6CDAI ≤10CDAI ≤2.8HAQ-DIMCIDbLoE to ≥1 TNF inhibitorUPA 15 mg n=26375.377.944.959.722.838.849.061.230.446.840.758.69.122.875.574.3ABAn=27364.572.933.748.413.224.927.546.512.529.733.749.82.212.565.266.3LoE to ≥1 IL-6 inhibitorUPA 15 mg n=4870.885.437.566.720.829.245.866.725.041.741.758.36.316.778.378.3ABAn=4877.179.241.756.322.927.125.043.814.629.227.152.12.110.475.075.0Intolerance to prior bDMARDsUPA 15 mgn=4783.076.653.257.417.027.753.257.431.929.844.744.78.514.980.073.3ABAn=3262.571.928.150.00.031.321.956.36.331.321.956.33.19.461.367.71 priorbDMARDUPA 15 mgn=20677.281.151.963.121.838.852.466.032.547.641.761.29.220.979.676.6ABAn=20267.377.735.153.515.833.729.251.512.435.636.155.93.016.366.771.72 priorbDMARDsUPA 15 mgn=6478.176.634.456.323.439.151.662.526.650.045.354.74.723.473.870.5ABAn=7064.364.328.642.94.311.427.141.411.424.328.644.31.48.655.755.7≥3 prior bDMARDsUPA 15 mg n=2955.265.524.144.817.224.127.641.420.727.627.648.310.317.258.672.4ABAn=3565.771.440.040.020.017.128.637.120.020.037.140.02.98.677.174.3

aMissing information was imputed using NRI. bHAQ-DI MCID=reduction from baseline of ≥0.22

ACR20/50/70, 20/50/70% improvement in ACR criteria; HAQ-DI, Health Assessment Questionnaire-Disability Index

Conclusion:

Although sample sizes were small for some subgroups, treatment with UPA led to greater clinical responses vs ABA at Week 12, including in pts with LoE to TNF or IL-6 inhibitors, and those with IR or intolerance to 1, 2, or ≥3 prior bDMARDs.

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Grant Kirkpatrick, MSc of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Andrea Rubbert-Roth Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Gilead, Janssen, Novartis, Roche, and Sanofi, Ricardo Xavier Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Boulos Haraoui Consultant of: AbbVie, Amgen, Eli Lilly, Gilead, MSD, Pfizer, Sandoz, and UCB, Herbert S.B. Baraf Consultant of: Gilead, Janssen, and UCB, Grant/research support from: AbbVie, Eli Lilly, Genentech, Gilead, and Janssen, Maureen Rischmueller Consultant of: AbbVie, Bristol-Myers Squibb, CSL Behring, Eli Lilly, Gilead, Janssen, Pfizer, Sanofi, and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Janssen, Novartis, Pfizer, Sanofi, and UCB, Naomi Martin Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Jessica Suboticki Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, John Cush Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, and Novartis.

POS0666 TREATMENT EFFECTIVENESS OF UPADACITINIB AT 3 MONTHS IN US PATIENTS WITH RHEUMATOID ARTHRITIS FROM THE UNITED RHEUMATOLOGY NORMALIZED INTEGRATED COMMUNITY EVIDENCE (NICE[TM]) REAL-WORLD DATA

Background:

Upadacitinib (UPA), an oral Janus kinase inhibitor (JAKi), has demonstrated efficacy in the phase 3 SELECT clinical program, conducted across a range of patients (pts) with rheumatoid arthritis (RA).1–6 Real-world data for UPA, including in pts previously treated with a JAKi, have not yet been reported since global approvals beginning in 2019.

Objectives:

To assess the characteristics of US-based pts receiving UPA and its effectiveness in clinical practice at 3 months.

Methods:

This observational study included US-based pts from the United Rheumatology Normalized Integrated Community Evidence (UR-NICE) database who initiated UPA 15 mg once daily from FDA approval (August 2019) to July 31, 2020 and had ≥6-month pre-baseline data available. Effectiveness was assessed in pts with a reported Clinical Disease Activity Index (CDAI) score at 3 months after UPA initiation and included proportions of pts achieving CDAI remission (≤2.8), CDAI low disease activity (≤10), other disease activity measures, and pt-reported outcomes. A subgroup analysis assessed UPA effectiveness in pts with or without prior tofacitinib (TOFA) treatment.

Results:

This analysis included 252 pts treated with UPA 15 mg, of whom 98 (38.9%) received UPA monotherapy and 154 (61.1%) received UPA combined with conventional synthetic (cs) disease-modifying antirheumatic drugs (DMARDs). 64.3% of pts were from the Southern region of the USA. 86.1%, 72.2%, and 47.6% of pts had been previously treated with csDMARDs, biologic DMARDs, and JAKis, respectively. Baseline characteristics were largely similar between UPA monotherapy and combination therapy groups and those with or without prior TOFA treatment (Table 1). Pts with prior TOFA treatment had a longer duration of RA since diagnosis and higher steroid use versus those without. UPA 15 mg improved disease activity scores (including CDAI) and pt-reported outcomes (including physical function and pain) after 3 months of treatment (Figure 1). Similar effectiveness was observed with UPA 15 mg in pts with or without prior TOFA treatment.

Conclusion:

In the UR-NICE real-world database of US-based pts, improvements in clinical and pt-reported outcomes were observed at 3 months in UPA-treated pts with RA, including those with or without prior TOFA treatment, despite the treatment-refractory population included in this dataset.

References:

[1]Burmester GR, et al. Lancet 2018;391:2503–12.

[2]Smolen JS, et al. Lancet 2019;393:2303–11.

[3]Fleischmann R, et al. Arthritis Rheumatol 2019;71:1788–800.

[4]Genovese MC, et al. Lancet 2018;391:2513–24.

[5]van Vollenhoven R, et al. Arthritis Rheumatol 2020;72:1607–20.

[6]Rubbert-Roth A, et al. N Engl J Med 2020;383:1511–21.

Table 1.

Baseline characteristics

n (%), unless otherwise statedFull analysis set(n=252)Pts with prior TOFA treatment(n=113)Pts without prior TOFA treatment (n=139)Mean (SD) exposure, days219.7 (112.1)215.7 (116.7)222.9 (108.5)Female199 (79.0)85 (75.2)114 (82.0)Age ≥65 years75 (29.8)34 (30.1)41 (29.5)Oral steroid use140 (55.6)70 (61.9)70 (50.4)Prior csDMARDs217 (86.1)102 (90.3)115 (82.7)Prior TOFA113 (44.8)113 (100.0)0Prior biologic DMARDs182 (72.2)86 (76.1)96 (69.1)Tumor necrosis factor inhibitor147 (58.3)66 (58.4)81 (58.3)Interleukin-6 receptor inhibitor87 (34.5)47 (41.6)40 (28.8)nMean (SD)nMean (SD)nMean (SD)Duration of RA diagnosis, years1884.0 (3.0)895.1 (2.9)993.1 (2.8)Methotrexate dose, mg/week8817.0 (5.1)2817.8 (5.0)6016.6 (5.2)SJC282394.8 (5.7)1084.5 (5.0)1315.0 (6.2)TJC282376.5 (6.7)1076.5 (6.8)1306.5 (6.6)CDAI22520.4 (13.4)10520.2 (13.5)12020.6 (13.3)Routine assessment of patient index data 31654.2 (2.3)724.2 (2.4)934.3 (2.2)Disease Activity Score in 28 joints based on C-reactive protein1673.9 (1.5)833.9 (1.5)843.9 (1.5)Health Assessment Questionnaire-Disability Index1702.5 (2.1)742.4 (2.2)962.5 (2.1)Pain(0–10)22956.5 (28.5)10456.9 (29.3)12556.1 (28.0)SD, standard deviation; S/TJC, swollen/tender joint count

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Hilary Wong, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Allan Gibofsky Shareholder of: AbbVie, Amgen, Johnson & Johnson, and Pfizer, Consultant of: AbbVie, Celgene, Eli Lilly, Flexion, Pfizer, Relburn Pharma, and Samumed. Paid consultant with investment analysts on behalf of the Gerson Lehrman Group, Bhavna Dhillon Shareholder of: May own stock or options in United Rheumatology, Employee of: United Rheumatology, Mark E. Pearson Shareholder of: May own AbbVie stock or options, Namita Tundia Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Kendall Dunlap Shareholder of: May own stocks or shares in AbbVie, Employee of: AbbVie, Grace Wright Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Exagen, Myriad Autoimmune, Novartis, Sanofi/Regeneron, UCB, and Vindico, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Exagen, Gilead, Janssen, Myriad Autoimmune, Novartis, Pfizer, Sanofi/Regeneron, and UCB, Employee of: President and Founder of the Association of Women in Rheumatology

POS0654 IMPACT OF CONCOMITANT GLUCOCORTICOIDS ON THE CLINICAL EFFICACY AND SAFETY OF UPADACITINIB IN PATIENTS WITH RHEUMATOID ARTHRITIS: AN AD HOC ANALYSIS OF DATA FROM THREE PHASE 3 STUDIES

Background:

Glucocorticoid (GC) therapy has strong anti-inflammatory effects and helps slow radiographic progression in RA1; however, GCs can be associated with adverse events (AEs) such as infection, especially with long-term use and higher doses.

Objectives:

To evaluate the impact of baseline GCs on the efficacy and safety of upadacitinib (UPA) with or without concomitant conventional synthetic DMARDs (csDMARDs).

Methods:

In this ad hoc analysis of three Phase 3 studies, patients with inadequate response to MTX (MTX-IR) receiving UPA 15 mg once daily (QD) or placebo (PBO) + csDMARDs in SELECT-NEXT, and MTX-IR/MTX-naïve patients receiving UPA 15 mg QD monotherapy or MTX monotherapy in SELECT-MONOTHERAPY/SELECT-EARLY, respectively, were included. Efficacy outcomes, including measures of remission and low disease activity (LDA) determined by DAS in 28 joints using CRP (DAS28[CRP]; <2.6/≤3.2) and Clinical Disease Activity Index (CDAI; ≤2.8/≤10), were assessed and stratified by baseline GC use. Patients were permitted to receive oral GCs ≤10 mg/day (prednisone equivalent) at baseline with no adjustment permitted until Week 24/26/48. Safety was reported as number and proportion of patients with AEs. Data were analyzed descriptively with no statistical comparisons between groups or doses.

Results:

Of 1,506 patients included in the analysis, 737 (48.9%) were receiving baseline GCs (mean dose 6.2 mg/day). Baseline characteristics were broadly similar across treatment groups; SELECT-EARLY, which enrolled MTX-naïve patients, generally had the shortest duration of RA and higher CRP levels. Across UPA treatment groups, concomitant GCs generally did not influence the proportions of patients achieving remission (Figure 1). In SELECT-NEXT, clinical responses with UPA 15 mg in combination with csDMARDs were similar irrespective of concomitant GC use (Figure 1). Within SELECT-MONOTHERAPY, responses in patients receiving UPA 15 mg without concomitant csDMARDs or GCs were higher than those in patients receiving MTX alone, but were numerically lower than in those receiving UPA 15 mg with GCs (Figure 1). However, this was not observed within SELECT-EARLY, where clinical responses in patients receiving UPA 15 mg monotherapy without GCs were higher than in those patients receiving UPA 15 mg with GCs for both DAS28(CRP) <2.6 (40.6% vs 29.9%, respectively) and CDAI ≤2.8 (20.0% vs 11.6%, respectively) (Figure 1). A similar trend was observed for LDA. Serious AEs, AEs leading to discontinuation, and AEs of special interest, including infections (such as herpes zoster), were broadly similar in the UPA groups irrespective of concomitant GC use (table of safety data will be presented).

Conclusion:

UPA 15 mg in combination with csDMARDs or as monotherapy was effective in achieving remission and LDA, irrespective of concomitant GC use. Safety of UPA, including incidence of infection, appeared largely unaffected by concomitant GC use.

References:

[1]Kirwan JR, et al. Cochrane Database Syst Rev 2007;1:CD006356.

Acknowledgements:

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing assistance was provided by Frances Smith, PhD, of 2 the Nth, which was funded by AbbVie.

Disclosure of Interests:

Bernard Combe Speakers bureau: AbbVie, Eli Lilly, Gilead, Janssen, Merck, Novartis, Pfizer, Roche-Chugai, Sanofi, and UCB Pharma, Consultant of: AbbVie, Eli Lilly, Gilead, Janssen, Merck, Novartis, Pfizer, Roche-Chugai, Sanofi, and UCB Pharma, Frank Buttgereit Speakers bureau: AbbVie, Eli Lilly, Pfizer, and Roche, Andrew Ostor Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, Janssen, Novartis, Paradigm, Pfizer, Roche, and UCB Pharma., Ricardo Xavier Speakers bureau: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB Pharma, Consultant of: AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB Pharma, Alain Saraux Speakers bureau: AbbVie, Bristol-Myers Squibb, Chugai, Eli Lilly, Nordic, Sanofi, and UCB Pharma, Consultant of: AbbVie, Bristol-Myers Squibb, Chugai, Eli Lilly, Nordic, Sanofi, and UCB Pharma, Capucine DARIDON Shareholder of: AbbVie, Employee of: AbbVie, Kirsten Famulla Shareholder of: AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: AbbVie, Employee of: AbbVie, Ivan Lagunes-Galindo Shareholder of: AbbVie, Employee of: AbbVie, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Gilead, Janssen, Merck, Pfizer, Roche, and UCB Pharma, Consultant of: AbbVie, Eli Lilly, Gilead, Janssen, Merck, Pfizer, Roche, and UCB Pharma

POS1136 PHARMACOKINETICS OF PEGLOTICASE AND METHOTREXATE POLYGLUTAMATE(S) IN PATIENTS WITH UNCONTROLLED GOUT RECEIVING PEGLOTICASE AND CO-TREATMENT OF METHOTREXATE

Background:

In an open-label, single-arm trial in adult patients with uncontrolled gout (MIRROR open-label [OL] trial) evaluating pegloticase co-treatment with methotrexate (MTX); 78.6% patients were responders, defined as maintenance of serum uric acid <6 mg/dL for at least 80% of the time during month 6 [weeks 20, 22, and 24]. In comparison, 42% patients achieved a response during month 3 and 6 in historical Phase 3 monotherapy trials of pegloticase (C0405 and C0406)1. MTX co-treatment is shown to improve the pharmacokinetics (PK) of biologics by attenuating the formation of anti-drug antibodies2.

Objectives:

To determine the systemic exposures of pegloticase and methotrexate polyglutamate(s) (MTX-PGs) in uncontrolled gout patients receiving pegloticase and MTX; to evaluate the effect of MTX on the PK of pegloticase in comparison to historical pegloticase monotherapy trials (C0405 and C0406)3, 4; and to evaluate the immunogenicity of pegloticase in co-treatment with MTX.

Methods:

In the MIRROR OL trial, MTX (15 mg/week) was given orally 4 weeks prior to the first pegloticase dose and continued weekly, in combination with pegloticase 8 mg given intravenously every 2 weeks, for a treatment duration of up to 52 weeks. Pre-infusion samples were collected to measure MTX-PGs in red blood cells. Pre- and post-infusion blood samples were obtained to measure the peak (Cmax) and trough (Cmin) concentrations of pegloticase at multiple visits. Anti-drug antibody blood samples were collected at multiple visits. The impact of MTX on pegloticase PK was evaluated by comparing pegloticase exposures with MTX from this trial to historical monotherapy data (C0405 and C0406)3, 4. The observed pegloticase concentrations with MTX were also overlaid with the 90% prediction interval based on the population PK model5 from C0405 and C0406.

Results:

Pegloticase and MTX-PG levels were determined in 14 patients. The 11 responders were generally associated with higher pegloticase exposures than the non-responders, especially Cmin (Figure 1). Concomitant treatment of MTX resulted in fewer patients with Cmin below quantitation limit (BQL) (5/14 [36%] with MTX vs 63/82 [77%] without MTX), and higher overall Cmin (median: 1.03 µg/ml with MTX vs BQL without MTX); Cmax was slightly higher (median [Q1, Q3]: 2.11 [1.65, 2.59] µg/mL with MTX vs 1.51 [BQL, 2.48] µg/mL without MTX). Pegloticase co-treatment with MTX resulted in more concentrations above the predicted median value of pegloticase, compared to monotherapy. ADA data is consistent with pegloticase PK and efficacy. Significant increase in ADA titers were only observed in 2 subjects (both were non-responders) at time corresponding to the loss of pegloticase exposure and increases in sUA levels. Concentrations of MTX-PGs were maintained during the treatment course, suggesting compliance of MTX administration. There was no apparent difference in concentrations of MTX-PGs between responders and non-responders.

Conclusion:

Pegloticase 8 mg IV every 2 weeks co-treatment with MTX 15 mg weekly resulted in fewer patients with pegloticase Cmin below the quantification limit (BQL) and gave higher overall trough concentrations (Cmin) compared to pegloticase monotherapy in the phase 3 studies.

Pegloticase 8 mg IV every 2 weeks co-treatment with MTX 15 mg weekly was associated with an improved response rate for pegloticase in association with improved drug levels in these patients with uncontrolled gout compared to pegloticase monotherapy in the phase 3 studies.

References:

[1]Botson J., et al. J Rheumatol. 2020; doi: 10.3899/jrheum.200460

[2]Goss S. L., et al. Clin Ther;2018, 40 (2).

[3]Lipsky P. E., et al. Arthritis Res Ther;2014, 16 (2).

[4]Sundy J. S., et al. JAMA;2011, 306 (7).

[5]Yue C. S., et al. ASCPT, Atlanta, 2010.

Disclosure of Interests:

Yang Song Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Yan Xin Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Michael E. Weinblatt Shareholder of: Canfite, Inmedix, Lycera, Vorso, Scipher, Grant/research support from: Crescendo Bioscience, Bristol Myers Squibb, Sanofi, Eli Lilly, Amgen, Jason Chamberlain Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Katie Obermeyer Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Lin Zhao Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Colleen Canavan Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Paul M. Peloso Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc, Srini Ramanathan Shareholder of: Horizon Therapeutics plc, Employee of: Horizon Therapeutics plc.

MiR-21-5p in macrophage-derived extracellular vesicles affects podocyte pyroptosis in diabetic nephropathy by regulating A20

OBJECTIVES

Podocyte pyroptosis, characterized by inflammasome activation, plays an important role in inflammation-mediated diabetic nephropathy (DN). Our study aimed to investigate whether miR-21-5p in macrophage-derived extracellular vesicles (EVs) could affect podocyte injury in DN.

METHODS

EVs were extracted after the treatment of RAW 264.7 (mouse macrophage line) with high glucose (HG). The podocyte pyroptosis was determined using the flow cytometry and the western blot. After the knockdown of miR-21-5p in HG-induced RAW264.7 cells, we injected the extracted EVs into DN model mice.

RESULTS

The level of miR-21-5p was higher in HG-stimulated macrophage-derived EVs than in normal glucose-cultured macrophage-derived EVs. The co-culture of EVs and podocytes promoted reactive oxygen species (ROS) production and activation of inflammatory in MPC5 cells (mouse podocyte line). However, restraint of miR-21-5p in EVs reduced ROS production and inhibit inflammasome activation in MPC5 cells, thereby reducing podocytes injury. Meanwhile, we found that miR-21-5p inhibited the A20 expression through binding with its 3'-untranslated regions in MPC5 cells. Further studies showed that A20 was also involved in the regulation of miR-21-5p of RAW 264.7-derived EVs on MPC5 injury. At the same time, it was also proved in the DN model mice that miR-21-5p in macrophage-derived EVs could regulate podocyte injury.

CONCLUSION

MiR-21-5p in macrophage-derived EVs can regulate pyroptosis-mediated podocyte injury by A20 in DN.

POS0222 PREDICTORS OF RESPONSE: BASELINE CHARACTERISTICS AND EARLY TREATMENT RESPONSES ASSOCIATED WITH ACHIEVEMENT OF REMISSION AND LOW DISEASE ACTIVITY AMONG UPADACITINIB-TREATED PATIENTS WITH RHEUMATOID ARTHRITIS

Background:

Upadacitinib (UPA) 15 mg once daily (QD) has demonstrated efficacy in phase 3 studies of patients with rheumatoid arthritis (RA).1–4 Early prediction of response to treatment with UPA could help to optimize therapy.

Objectives:

To identify baseline (BL) characteristics or Week (Wk) 12 disease activity measures that may predict the achievement of remission (REM) or low disease activity (LDA) at 6 months in patients with RA receiving UPA 15 mg.

Methods:

This ad hoc analysis included patients who were randomized to UPA 15 mg QD, as monotherapy in methotrexate (MTX)-naïve patients (SELECT-EARLY) or in combination with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), in patients with an inadequate response (IR) to MTX (SELECT-COMPARE) or ≥1 tumor necrosis factor inhibitors (TNFis) (SELECT-BEYOND and SELECT-CHOICE). The association of BL characteristics (including age, disease duration, prior/concomitant treatments, C-reactive protein [CRP], seropositivity, and disease activity) and Wk 12 disease activity parameters with the achievement of Clinical Disease Activity Index (CDAI) REM (≤2.8) or LDA (≤10) at Wk 24 (or Wk 26 in SELECT-COMPARE) was assessed by concordance statistics (C-statistics), or area under the receiver operator characteristic curve. C-index values and 95% confidence intervals were calculated by fitting a univariate logistic regression model for: demographic and BL characteristics, Wk 12 disease activity measures, and change from BL at Wk 12 in disease activity measures. A multivariate logistic regression with stepwise model selection was also performed. The proportion of patients achieving Wk 24/26 CDAI REM/LDA was stratified by ≥50% improvement from BL in swollen and/or tender joint count in 66/68 joints (SJC66/TJC68).

Results:

A total of 1377 patients were included in the analysis. Across the 4 studies, CDAI REM and LDA were achieved in 11.0–28.4% and 50.0–58.6% of patients, respectively (Table 1). BL demographics and disease characteristics were weakly predictive (C-index <0.70) of Wk 24/26 CDAI REM (C-index 0.49–0.69) or LDA (C-index 0.47–0.65), with the exception of BL Health Assessment Questionnaire-Disability Index in SELECT-BEYOND, which was moderately predictive of CDAI REM (C-index 0.73). Changes from BL in disease activity measures at Wk 12 were weakly or moderately predictive of Wk 24/26 CDAI REM (Figure 1) or LDA. CDAI value at Wk 12 was strongly predictive (C-index >0.80) of Wk 24/26 CDAI REM or LDA. Disease Activity Score in 28 joints using CRP and pain at Wk 12 were strongly predictive of Wk 24/26 CDAI REM (except in SELECT-CHOICE). Physician’s global assessment at Wk 12 was the only common predictor in the multivariate regression models for CDAI REM/LDA at Wk 24/26 across the 4 studies. A greater proportion of patients achieving ≥50% improvement in SJC66 and TJC68 at Wk 12 achieved CDAI REM (16.5–37.8% vs 0–9.4%) or LDA (66.0–72.8% vs 20.9–35.7%) at Wk 24/26 than those who did not.

Table 1.

Achievement of CDAI LDA and REM at Wk 24/26a

SELECT-EARLYSELECT-COMPARESELECT-BEYONDSELECT-CHOICEPatient populationMTX-naïveMTX-IRTNFi-IRTNFi-IRTreatmentUPA 15 mg monotherapy (n=317)UPA 15 mg + MTX(n=651)UPA 15 mg + csDMARD(n=146)UPA 15 mg + csDMARD(n=263)Efficacy at Wk 24/26a, n (%)CDAI REM (≤2.8)90 (28.4)150 (23.0)16 (11.0)60 (22.8)CDAI LDA (≤10)178 (56.2)343 (52.7)73 (50.0)154 (58.6)

a Wk 26 for SELECT-COMPARE only

Conclusion:

BL characteristics did not strongly predict response to UPA, but composite disease activity scores at Wk 12 predicted Wk 24/26 REM/LDA with UPA 15 mg QD across MTX-naïve, MTX-IR, and TNFi-IR patients. ≥50% improvement in SJC/TJC at Wk 12 was also associated with Wk 24/26 REM/LDA.

References:

[1]van Vollenhoven R, et al. Arthritis Rheumatol 2020;72:1607–20; 2. Genovese MC, et al. Lancet 2018;391:2513–24; 3. Fleischmann R, et al. Arthritis Rheumatol 2019;71:1788–800; 4. Rubbert-Roth A, et al. N Engl J Med 2020;383:1511–21.

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Laura Chalmers, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Arthur Kavanaugh Consultant of: Janssen, Grant/research support from: Janssen, Zoltán Szekanecz: None declared, Edward C. Keystone Speakers bureau: Abbott, Amgen, AstraZeneca, Biotest, Bristol-Myers Squibb, Eli Lilly, Genentech, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Consultant of: Abbott, Amgen, AstraZeneca, Biotest, Bristol-Myers Squibb, Eli Lilly, Genentech, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Grant/research support from: Abbott, Amgen, AstraZeneca, Biotest, Bristol-Myers Squibb, Eli Lilly, Genentech, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Andrea Rubbert-Roth Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and Sanofi, Stephen Hall Grant/research support from: Pfizer, Ricardo Xavier: None declared, Joaquim Polido-Pereira: None declared, In-Ho Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Naomi Martin Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Peter Nash Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB.

POS0653 IMPACT OF UPADACITINIB OR ADALIMUMAB AS INITIAL THERAPY ON THE ACHIEVEMENT OF 48-WEEK TREATMENT GOALS IN PATIENTS WITH RHEUMATOID ARTHRITIS AND INADEQUATE RESPONSE TO METHOTREXATE: POST HOC ANALYSIS OF A PHASE 3 STUDY

Background:

In the randomized, double-blinded, Phase 3 SELECT-COMPARE study, upadacitinib (UPA) + MTX demonstrated greater clinical and functional responses vs adalimumab (ADA) + MTX in patients (pts) with RA and inadequate response to MTX.1,2 Pts with insufficient response to initial therapy were switched from UPA to ADA (and vice versa) according to treat-to-target (T2T) principles.

Objectives:

We analyzed 1-year treatment outcomes in SELECT-COMPARE according to initial randomization group, regardless of whether pts subsequently switched therapy.

Methods:

Pts initially randomized to UPA 15 mg once daily (QD) or ADA 40 mg every other week (EOW; both + MTX) for up to 48 weeks in SELECT-COMPARE were included in the analysis. As per the protocol-directed rescue strategy, pts experiencing <20% improvement in tender or swollen joint counts at Week 14, 18, or 22, or Clinical Disease Activity Index (CDAI) >10 at Week 26, were switched from UPA to ADA or ADA to UPA in a blinded fashion. Efficacy outcomes included CDAI remission (≤2.8) and low disease activity (LDA; ≤10), DAS of 28 joints using CRP (DAS28[CRP]) <2.6 and ≤3.2, and a composite of “deep response” (CDAI remission, HAQ-Disability Index <0.5, and pain score <20). Data are presented and attributed to initial randomized group (UPA or ADA) regardless of any subsequent switch in therapy. Time-averaged response rates were calculated as area under the curve of response rate standardized by 48 weeks. The proportions of pts who maintained Week 26 responses through 6 months of follow-up are also reported.

Results:

This analysis included 651 pts initially randomized to UPA (of whom 245 switched to ADA) and 327 pts initially randomized to ADA (of whom 157 switched to UPA). Baseline characteristics including age, sex, and BMI were generally well balanced between randomized groups. At Week 48, similar proportions of pts initially randomized to UPA or ADA therapy achieved CDAI remission/LDA (27.6%/61.9% vs 24.8%/59.0%) and DAS28(CRP) <2.6/≤3.2 (45.0%/60.2% vs 43.7%/59.0%) (Figure 1). However, a small but significantly greater proportion of pts achieved a deep response with initial UPA vs initial ADA therapy (17.8% vs 12.8%; p<0.05). In addition, time-averaged response rates over 48 weeks were higher for initial UPA vs initial ADA therapy across efficacy outcomes. Similar trends were observed for other outcomes. Additionally, similar proportions of pts maintained Week 26 responses with initial UPA vs initial ADA therapy based on CDAI remission/LDA and DAS28(CRP) <2.6/≤3.2 during 6-month follow-up (Table 1).

Conclusion:

Using a stringent T2T approach to RA management, rates of LDA or remission at 1 year were similar, regardless of whether pts were initially randomized to UPA or ADA. However, initial UPA therapy led to more frequent deep responses and higher time-averaged response rates vs initial ADA therapy.

References:

[1]Fleischmann R, et al. Arthritis Rheumatol 2019;71:1788–800.

[2]Fleischmann R, et al. Ann Rheum Dis 2019;78:1454–62.

Table 1.

Proportion of patients maintaining Week 26 CDAI and DAS28(CRP) responses during 6-month follow-up by initial therapy with UPA or ADA in SELECT-COMPAREa-c

UPA 15 mg QDADA 40 mg EOWCDAI LDA (≤10)43.936.3CDAI Remission (≤2.8)35.022.7DAS28(CRP) ≤3.239.135.3DAS28(CRP) <2.630.530.1

aAs observed.

bBlinded rescue from UPA to ADA or ADA to UPA was permitted at Week 14, 18, and 22 for patients with <20% improvement in TJC or SJC and at Week 26 for patients with a CDAI <10. Data are presented and attributed to original randomized group (UPA or ADA) regardless of any subsequent switch in therapy.

cMaintaining response defined as never losing response at any visit during ~6 months (22–26 weeks) follow up after first achieving response before or at Week 26.

ADA, adalimumab; CDAI, Clinical Disease Activity Index; DAS28(CRP), DAS of 28 joints using CRP; EOW, every other week; QD, once daily; SJC, swollen joint count; TJC, tender joint count; UPA, upadacitinib.

Acknowledgements:

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing assistance was provided by Frances Smith, PhD, of 2 the Nth, which was funded by AbbVie.

Disclosure of Interests:

Eduardo Mysler Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Janssen, Pfizer, Roche, and Sandoz., Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Janssen, Pfizer, Roche, and Sandoz., Yoshiya Tanaka Speakers bureau: AbbVie, Asahi Kasei, Astellas, Bristol-Myers Squibb, Eli Lilly, Chugai, Daiichi-Sankyo, Eisai, Gilead, GlaxoSmithKline, Janssen, Mitsubishi-Tanabe, Novartis, Pfizer, Sanofi, and YL Biologics, Consultant of: AbbVie, Asahi Kasei, Astellas, Bristol-Myers Squibb, Eli Lilly, Chugai, Daiichi-Sankyo, Eisai, Gilead, GlaxoSmithKline, Janssen, Mitsubishi-Tanabe, Novartis, Pfizer, Sanofi, and YL Biologics, Grant/research support from: AbbVie, Chugai, Daiichi-Sankyo, Eisai, Mitsubishi-Tanabe, Takeda, and UCB., Arthur Kavanaugh Consultant of: AbbVie, Amgen, AstraZeneca, Bristol-Myers Squibb, Celgene, Janssen, Pfizer, Roche, and UCB., Grant/research support from: AbbVie, Amgen, AstraZeneca, Bristol-Myers Squibb, Celgene, Janssen, Pfizer, Roche, and UCB., Daniel Aletaha Consultant of: AbbVie, Amgen, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, Roche, Sanofi, and UCB., Grant/research support from: AbbVie, Amgen, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, Roche, Sanofi, and UCB., Peter C. Taylor Speakers bureau: AbbVie, Biogen, Bristol-Myers Squibb, Celgene, Celltrion, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Fresenius, Nordic Pharma, Pfizer, Roche, Sanofi, and UCB., Consultant of: AbbVie, Biogen, Bristol-Myers Squibb, Celgene, Celltrion, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Fresenius, Nordic Pharma, Pfizer, Roche, Sanofi, and UCB., Grant/research support from: AbbVie, Biogen, Bristol-Myers Squibb, Celgene, Celltrion, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Janssen, Fresenius, Nordic Pharma, Pfizer, Roche, Sanofi, and UCB., In-Ho Song Shareholder of: AbbVie, Employee of: AbbVie, Tim Shaw Shareholder of: AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: AbbVie, Employee of: AbbVie, Ryan DeMasi Shareholder of: AbbVie, Employee of: AbbVie, Mira Ali Shareholder of: AbbVie, Employee of: AbbVie, Roy Fleischmann Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Gilead, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sanofi-Aventis, and UCB., Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Gilead, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sanofi-Aventis, and UCB.

Metagenomic analysis revealed the individualized shift in ileal microbiome of neonatal calves in response to delaying the first colostrum feeding

The aim of this study was to explore the effect of colostrum feeding time on the ileal microbiome of neonatal calves. In this study, 22 male Holstein calves were randomly assigned to different colostrum feeding time treatments: after birth (at 45 min, n = 7); at 6 h after birth (n = 8); and at 12 h after birth (TRT12h; n = 7). At 51 h after birth, calves were killed and ileum digesta was collected for microbiome analysis using shotgun metagenomic sequencing. Bacteria, archaea, eukaryotes, and viruses were identified from the ileum microbiome. For the bacteriome, Firmicutes and Proteobacteria were the predominant phyla, and Escherichia, Streptococcus, Lactobacillus were the 3 most abundant genera. For the archaeal community, Euryarchaeota and Crenarchaeota were the 2 major phyla, and Methanosarcina, Methanobrevibacter, and Methanocorpusculum were the 3 most abundant genera. In total, 116 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified from the ileal microbiome, with "biosynthesis of vancomycin group antibiotics," "biosynthesis of ansamycins," "valine, leucine, and isoleucine biosynthesis," "ribosome," and "d-alanine metabolism" as the top 5 functions. When the ileal microbiomes were compared among the 3 treatments, the relative abundance of Enterococcus was higher in TRT12h calves, suggesting that calves may have a higher abundance of opportunistic pathogens when the feeding of colostrum is delayed for 12 h. Moreover, among all KEGG pathways, the enriched "taurine and hypotaurine metabolism" (KO00430) pathway was identified in the ileal microbiome of TRT12h calves; however, future studies are needed to understand the effect on the host. Additionally, 2 distinct ileal microbial profiles were identified across all samples, indicating that that host factors may play a significant role in driving varied microbiome changes in response to colostrum feeding time. Whether such microbiome shifts affect long-term gut function and calf performance warrants future studies.

POS0220 INTEGRATED SAFETY PROFILE OF UPADACITINIB WITH UP TO 4.5 YEARS OF EXPOSURE IN PATIENTS WITH RHEUMATOID ARTHRITIS

Background:

The safety and efficacy of the oral Janus kinase inhibitor upadacitinib (UPA) has been evaluated across a spectrum of patients with rheumatoid arthritis (RA) in the phase 3 SELECT clinical program.1–6

Objectives:

To describe the long-term integrated safety profile of UPA relative to active comparators (cutoff date: June 30, 2020) in patients with RA treated in the SELECT clinical program.

Methods:

This analysis included updated data from 6 randomized controlled UPA RA trials.1–6 Treatment-emergent adverse events (TEAEs; onset after first dose and ≤30 days after last dose of study drug or ≤70 days for adalimumab [ADA]) including AEs of special interest were summarized as follows: pooled UPA 15 mg once daily (QD; UPA15, 6 trials); pooled UPA 30 mg QD (UPA30, 4 trials); methotrexate (MTX, 1 trial), and ADA (1 trial). TEAEs were reported as exposure-adjusted adverse event rates (EAERs; events/100 patient-years [E/100 PY]), which included both incident and recurrent events.

Results:

4413 patients (UPA15, n=3209; UPA30, n=1204) received ≥1 dose of UPA, providing 10,115.4 PY of exposure. EAERs for AEs, serious AEs (SAEs), and AEs leading to discontinuation were similar for UPA15, MTX, and ADA; rates for UPA30 were numerically higher than UPA15 (Table 1). The most common AEs were upper respiratory tract infection, nasopharyngitis, and urinary tract infection for both UPA doses, and for UPA30 only, increased creatine phosphokinase (CPK). Pneumonia was the most common SAE for both UPA15 and UPA30. Serious infection rates were similar for UPA15, MTX, and ADA but higher for UPA30 (Figure 1). Rates of herpes zoster (HZ) were higher for both UPA groups (dose-dependent) vs MTX and ADA. Most HZ cases with UPA were non-serious (94%) and involved a single dermatome (74%). CPK elevations, which were mostly asymptomatic, were more common for both UPA groups (dose-dependent) vs MTX and ADA. EAERs of adjudicated gastrointestinal perforations were <0.1 and 0.2 E/100 PY for UPA15 and UPA30, respectively. Rates of non-melanoma skin cancer (due in part to more recurrent events with UPA30), anemia, and neutropenia were higher with UPA30 vs other treatment groups. Events of anemia and neutropenia were generally mild/moderate and treatment discontinuation due to these events was uncommon (<0.4%). Rates of other AEs of special interest, including major adverse cardiovascular and venous thromboembolic events, were broadly similar across treatment groups. The rate of deaths in UPA-treated patients with RA was not higher than expected for the general population (standardized mortality ratio [95% confidence interval (CI)]: UPA15, 0.43 [0.29, 0.63]; UPA30, 0.68 [0.40, 1.08]).

Table 1.

TEAEs in patients treated with UPA, MTX, and ADA

UPA 15 mg QDUPA 30 mg QDADA 40 mg EOWMTXn32091204579314ExposureTotal, PY7023.83091.61051.8637.4Mean (SD), weeks114 (64)134 (66)95 (70)106 (67)Median (range), weeks136 (0, 232)160 (0, 231)118 (2, 231)144 (1, 221)E/100 PY (95% CI)Any AE230.7 (227.2, 234.3)283.6 (277.7, 289.6)216.6 (207.8, 225.7)227.8 (216.2, 239.8)Any SAE13.0 (12.2, 13.9)18.8 (17.3, 20.4)13.3 (11.2, 15.7)10.4 (8.0, 13.2)Any AE leading to discontinuation of study drug5.6 (5.0, 6.1)8.5 (7.5, 9.6)6.8 (5.3, 8.5)6.3 (4.5, 8.5)Deathsa0.4 (0.3, 0.6)0.6 (0.3, 0.9)0.9 (0.4, 1.6)0.5 (0.1, 1.4)

aBoth treatment and non-treatment-emergent deaths

EOW, every other week

Conclusion:

The updated safety profile of UPA with up to 4.5 years of exposure in patients with RA was comparable to previous analyses,7 with no new safety signals reported. With the exception of HZ and elevated CPK, the safety profile of UPA15, the approved dose for RA, was similar to that observed for ADA.

References:

[1]Burmester GR, et al. Lancet 2018;391:2503–12;

[2]Smolen JS, et al. Lancet 2019;393:2303–11;

[3]Fleischmann R, et al. Arthritis Rheumatol 2019;71:1788–800;

[4]Genovese MC, et al. Lancet 2018;391:2513–24;

[5]van Vollenhoven R, et al. Arthritis Rheumatol 2020;72:1607–20;

[6]Rubbert-Roth A, et al. N Engl J Med 2020;383:1511–21;

[7]Cohen SB, et al. Ann Rheum Dis 2020;79(Suppl 1):319–20.

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Hilary Wong, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Stanley B. Cohen Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Gilead, Pfizer, Roche, and Sandoz, Grant/research support from: AbbVie, Amgen, Boehringer Ingelheim, Gilead, Pfizer, Roche, and Sandoz, Ronald van Vollenhoven Consultant of: AbbVie, AstraZeneca, Biotest, Bristol-Myers Squibb, Celgene, Eli Lilly, GSK, Janssen, Medac, MSD, Novartis, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, Arthrogen, Bristol-Myers Squibb, Eli Lilly, GSK, Pfizer, and UCB, Jeffrey R. Curtis Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Crescendo, Janssen, Pfizer, Sanofi/Regeneron, and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Crescendo, Janssen, Pfizer, Sanofi/Regeneron, and UCB, Leonard Calabrese Speakers bureau: AbbVie, Crescendo, Genentech, Horizon, Janssen, Novartis, and Sanofi, Consultant of: AbbVie, Bristol-Myers Squibb, Crescendo, Genentech, Gilead, GSK, Horizon, Janssen, Novartis, and Sanofi, Cristiano Zerbini Speakers bureau: MSD, Pfizer, and Sanofi, Consultant of: MSD, Pfizer, and Sanofi, Grant/research support from: Amgen, Eli Lilly, GSK, MSD, Novartis, Pfizer, Roche, Sanofi, and Servier, Yoshiya Tanaka Speakers bureau: AbbVie, Asahi Kasei, Astellas, Bristol-Myers Squibb, Chugai, Daiichi Sankyo, Eisai, Eli Lilly, Gilead, GSK, Janssen, Mitsubishi Tanabe, Novartis, Pfizer, Sanofi, and YL Biologics, Grant/research support from: Asahi Kasei, Chugai, Daiichi Sankyo, Eisai, Mitsubishi Tanabe, Takeda, and UCB, Louis Bessette Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Christophe Richez Speakers bureau: AbbVie, Amgen, AstraZeneca, Biogen, Bristol-Myers Squibb, Eli Lilly, GSK, MSD, and Pfizer, Consultant of: AbbVie, Amgen, AstraZeneca, Biogen, Bristol-Myers Squibb, Eli Lilly, GSK, MSD, and Pfizer, Ivan Lagunes-Galindo Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Jianzhong Liu Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Heidi Camp Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, Roche, and UCB, Consultant of: AbbVie, Eli Lilly, Gilead, Janssen, MSD, Pfizer, Roche, and UCB

Constraints on the Ecomorphological Convergence of Zooplanktivorous Butterflyfishes

Whether distantly related organisms evolve similar strategies to meet the demands of a shared ecological niche depends on their evolutionary history and the nature of form-function relationships. In fishes, the visual identification and consumption of microscopic zooplankters, selective zooplanktivory, is a distinct type of foraging often associated with a suite of morphological specializations. Previous work has identified inconsistencies in the trajectory and magnitude of morphological change following transitions to selective zooplanktivory, alluding to the diversity and importance of ancestral effects. Here we investigate whether transitions to selective zooplanktivory have influenced the morphological evolution of marine butterflyfishes (family Chaetodontidae), a group of small-prey specialists well known for several types of high-precision benthivory. Using Bayesian ancestral state estimation, we inferred the recent evolution of zooplanktivory among benthivorous ancestors that hunted small invertebrates and browsed by picking or scraping coral polyps. Traits related to the capture of prey appear to be functionally versatile, with little morphological distinction between species with benthivorous and planktivorous foraging modes. In contrast, multiple traits related to prey detection or swimming performance are evolving toward novel, zooplanktivore-specific optima. Despite a relatively short evolutionary history, general morphological indistinctiveness, and evidence of constraint on the evolution of body size, convergent evolution has closed a near significant amount of the morphological distance between zooplanktivorous species. Overall, our findings describe the extent to which the functional demands associated with selective zooplanktivory have led to generalizable morphological features among butterflyfishes and highlight the importance of ancestral effects in shaping patterns of morphological convergence.

[Using energy spectrum CT to evaluate the characteristics of adult abdominal fat distribution and analyze its influencing factors]

Objective: To evaluate the characteristics of adult abdominal fat distribution and analyze its influencing factors by energy spectrum CT scan. Methods: The body height, weight, waist circumference, and hip circumference of 105 adults were measured, and the characteristics of abdominal fat distribution were evaluated by energy spectrum CT scan. Results: Compared with non-obese individuals, the contents of abdominal subcutaneous fat, abdominal cavity and liver ectopic fat were higher in obese patients (P<0.05), and the intramuscular fat (IMAT) content did not increase with the increase of BMI. In middle-aged group, the waist circumference, waist-to-hip ratio (WHR) abdominal cavity area and IMAT content were higher than those in the youth group, and the muscle content of the middle-aged group was lower than that of the youth group, the difference between the two groups was significant (P<0.05); the male group had higher abdominal cavity area and muscle content than the female group, while the female group had higher the subcutaneous fat area, abdominal subcutaneous fat thickness and erector spinae fat content than the male group, the differences were significant (P<0.05). Conclusions: The characteristics of abdominal fat distribution of subjects with different BMI, age and gender were different. Therefore, we should pay attention to the individual assessment of ectopic fat distribution in obese patients. Energy spectrum CT can be used as an important approach for the assessment of ectopic fat to provide evidence for developing individualized weight loss programs.