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Objective: To investigate the influence of comorbidities on treatment response, disease activity and persistence with first-line IL-17 inhibitor (IL-17i) treatment in patients with PsA. Methods: Patients were divided into three groups depending on the presence and/or severity of comorbidities using the Charlson Comorbidity Index (CCI). Groups were CCI 0: no comorbidities, CCI 1: one comorbidity and CCI ≥2: two or more comorbidities or one or more severe comorbidities. Outcomes in the groups were compared for treatment persistence, treatment response and disease activity. Results: A higher CCI score was associated to an elevation in baseline CRP, swollen joint count and frequency of depression and/or anxiety. The median drug persistence in the groups were CCI 0: 1.8 years, CCI 1: 1.9 years and CCI ≥2: 1.5 years, but was not statistically significant to the CCI score. There were no significant differences in clinical response rates between the groups. Conclusion: The presence of comorbidities was associated with increased baseline disease activity and frequency of depression and/or anxiety, but was not associated with shorter treatment persistence or lower clinical response rates in a cohort of 155 Danish patients with PsA treated with first-line IL-17i.

INTRODUCTION: Hyperkalemia (HK) may result in disruptions of guidelines-concordant renin-angiotensin-aldosterone system inhibitors (RAASi), a standard of care in persons with chronic kidney disease (CKD). Such disruptions-dose reduction or discontinuation-diminish the benefits of RAASi, placing patients at risk of serious events and renal dysfunction. This real-world study evaluated RAASi modifications among patients who initiated sodium zirconium cyclosilicate (SZC) for HK. METHODS: Adults (≥ 18 years) initiating outpatient SZC (index date) while on RAASi were identified from a large US claims database (January 2018-June 2020). RAASi optimization (maintain same or up-titration of RAASi dosage), non-optimization (down-titration of RAASi dosage or discontinuation), and persistence were descriptively summarized following index. Predictors of RAASi optimization were assessed using multivariable logistic regression models. Analyses were conducted by subgroups, including patients without end-stage kidney disease (ESKD), with CKD, and with CKD + diabetes. RESULTS: A total of 589 patients initiated SZC during RAASi therapy (mean age 61.0 years, 65.2% male), and 82.7% patients (n = 487) kept RAASi after index (mean follow-up = 8.1 months). Most patients (77.4%) optimized RAASi therapy after initiating SZC; 69.6% maintained the same dosage while 7.8% had up-titrations. A similar rate of RAASi optimization was observed among subgroups without ESKD (78.4%), with CKD (78.9%), and with CKD + diabetes (78.1%). At 1-year post-index, 73.9% of all patients who optimized RAASi were still on therapy, while only 17.9% of patients who did not optimize therapy were still on a RAASi. Among all patients, predictors of RAASi optimization included fewer prior hospitalizations (odds ratio = 0.79, 95% CI [0.63-1.00]; p < 0.05) and fewer prior emergency department (ED) visits (0.78 [0.63-0.96]; p < 0.05). CONCLUSION: Consistent with clinical trial findings, nearly 80% of p

Objective: To investigate the influence of comorbidities on treatment response, disease activity and persistence with first-line IL-17 inhibitor (IL-17i) treatment in patients with PsA. Methods: Patients were divided into three groups depending on the presence and/or severity of comorbidities using the Charlson Comorbidity Index (CCI). Groups were CCI 0: no comorbidities, CCI 1: one comorbidity and CCI ≥2: two or more comorbidities or one or more severe comorbidities. Outcomes in the groups were compared for treatment persistence, treatment response and disease activity. Results: A higher CCI score was associated to an elevation in baseline CRP, swollen joint count and frequency of depression and/or anxiety. The median drug persistence in the groups were CCI 0: 1.8 years, CCI 1: 1.9 years and CCI ≥2: 1.5 years, but was not statistically significant to the CCI score. There were no significant differences in clinical response rates between the groups. Conclusion: The presence of comorbidities was associated with increased baseline disease activity and frequency of depression and/or anxiety, but was not associated with shorter treatment persistence or lower clinical response rates in a cohort of 155 Danish patients with PsA treated with first-line IL-17i.

Vedolizumab (VDZ) is a gutselective integrin inhibitor used to treat Crohn's disease (CD) and ulcerative colitis (UC). This retrospective study assessed effectiveness and treatment persistence of VDZ in a Belgian reallife cohort of CD and UC patients. CD and UC patients from 15 Belgian centers, who started VDZ between 01/09/2015 and 31/06/2016 and attended ≥1 visit after the first VDZ infusion, were included. Data were collected before first infusion, at week (W)10, W14 (CD patients only), month (M)6 and last follow-up. Treatment response and remission rates (changes in disease activity scores) and treatment persistence (Kaplan-Meier analysis) were assessed. Of the 348 patients receiving at least one dose of VDZ, 325 (202 CD, 45 biologic-naïve; and 123 UC, 42 biologic-naïve) patients were included in data analyses. At M6, 87.6% (176/201) of CD and 86.1% (105/122) of UC patients were still on VDZ treatment, 75.6% (34/45) and 83.9% (26/31) achieved clinical response, and 66.7% (44/66) and 42.9% (15/35) were in remission. At M6 remission rates was significantly higher while response rates tended to be higher among biologic-naïve versus biologic-failure CD patients. VDZ offers an effective treatment option in real-life settings and treatment effectiveness appears higher in biologic-naïve versus biologic-failure CD patients. (Acta gastroenterol. belg., 2020, 83, 15-23).

Objectives: Dose–escalation is a common practice to optimize treatment with subcutaneously administered biologicals in Crohn’s disease (CD) and ulcerative colitis (UC). However, limited data is available on the extent of dose-escalation in real-life. Here, we analyzed treatment persistence, dose–escalation, concomitant corticosteroid use, and costs of adalimumab, golimumab, and ustekinumab in inflammatory bowel diseases (IBD). Methods: This was a nationwide, retrospective, non-interventional registry study. All adult patients who were diagnosed with CD or UC and had purchased adalimumab, golimumab, or ustekinumab from Finnish pharmacies between 2008 and 2018 were included in the study and followed up for 24 months after treatment initiation. Results: A total of 2884 patients were included in the analyses. For adalimumab, treatment persistence was higher for CD patients compared to UC patients both at months 12 (46.2% versus 37.1%; p <.0001) and 24 (26.1% versus 19.7%; p < 0.0001). For golimumab (UC), treatment persistence was 48.3% at month 12 and 28.1% at month 24. The 12-month treatment persistence rate for patients on ustekinumab (CD) was 47.1%. Cumulative doses exceeding the regular dosing according to the summary of product characteristics (SPC), was observed for adalimumab in CD during the first 6 months of treatment (62.9% of the treatment periods), golimumab in the later stages of the UC treatment (52–54% of treatment periods at months 7–24), and ustekinumab during the first 6 months (70.7%). Conclusions: Based on this study, dose–escalation of subcutaneously administered biologicals is a common clinical practice in IBD. This has implications for treatment costs, use of concomitant medications, and treatment outcomes.

Patients with multiple sclerosis on long-term injectable therapies may suffer from the so-called “needle fatigue”, i.e., a waning commitment to continue with the prescribed injectable treatment. Therefore, alternative treatment strategies to enhance patients’ adherence are warranted. In this independent, multicentre post-marketing study, we sought to directly compare switching to either teriflunomide (TFN), dimethyl fumarate (DMF), or pegylated interferon (PEG) on treatment persistence and time to first relapse over a 12-month follow-up. We analyzed a total of 621 patients who were free of relapses and gadolinium-enhancing lesions in the year prior to switching to DMF (n = 265), TFN (n = 160), or PEG (n = 196). Time to discontinuation and time to first relapse were explored in the whole population by Cox regression models adjusted for baseline variables and after a 1:1:1 ratio propensity score (PS)-based matching procedure. Treatment discontinuation was more frequent after switching to PEG (28.6%) than DMF (14.7%; hazard ratio [HR] = 0.25, p < 0.001) and TFN (16.9%; HR = 0.27, p < 0.001). We found similar results even in the re-sampled cohort of 222 patients (74 per group) derived by the PS-based matching procedure. The highest discontinuation rate observed in PEG recipient was mainly due to poor tolerability (p = 0.005) and pregnancy planning (p = 0.04). The low number of patients who relapsed over the 12-month follow-up (25 out of 621, approximately 4%) prevented any analysis on the short-term risk of relapse. This real-world study suggests that oral drugs are a better switching option than low-frequency interferon for promoting the short-term treatment persistence in stable patients who do not tolerate injectable drugs.

Background The use of administrative health databases (AHD) is a promising strategy to study the impact of rheumatoid arthritis (RA) at population level. Previous studies, using different methodologies, have shown moderate to excellent accuracy in case identification with sensitivity (Se) and specificity (Sp) ranging from 65 to 100% and from 55 to 97%, respectively. Objectives To derive and validate a diagnostic algorithm that accurately identifies RA cases in general population using AHD of the Italian health system. Methods A cross-sectional diagnostic study design was applied. To derive the algorithm, a first random sample of 900 visits between 2007-2010 was drawn from electronic medical records of a tertiary rheumatology centre, applying a case:control ratio of 1:2 [1]. A second sample of 138 patients from a secondary care rheumatology clinic with the same case control ratio and a third sample of 4457 subjects from general population (primary care registry) were used for external validation. Diagnoses were clinically validated, according to standardized criteria [2]. Clinical and administrative data were linked using deterministic record linkage through tax code. Useful items for the identification of RA cases were defined through a process informed by literature involving clinicians, analysts and statisticians. Using a priori beliefs and empirical data, an algorithm that applied the more specific criteria in the first step and progressively more sensitive criteria in the subsequent was developed. Accuracy was assessed calculating Se and Sp, and 95% confidence intervals (CI). The consistency of these estimates was tested both by internal validation (bootstrap), and by two fully independent external validations. Positive and negative predictive values (PPV and NPV) were also estimated in the general population sample. Results The following variables were included in the algorithm: ICD9 code 714.0 by rheumatologist, ICD9 codes for other rheumatologic diseases, cod