Introduction: Given the growing interest and use of interleukin-17 inhibitors (anti-IL17) for the treatment of psoriatic arthritis (PsA), an observational study has been conducted to characterize the patient profile, treatment patterns, and persistence of ixekizumab or secukinumab in patients with PsA receiving them as first anti-IL17.
Methods: This is a multicenter retrospective study, conducted at eight Spanish hospitals where data from adult patients with PsA were collected from electronic medical records. Three cohorts of patients, initiating treatment with an anti-IL17 [secukinumab 150 mg (SECU150), secukinumab 300 mg (SECU300), or ixekizumab (IXE)] between January 2019 and March 2021, were included. Demographic and clinical patient characteristics, treatment patterns, and persistence were analyzed descriptively. Continuous data were presented as mean [standard deviation (SD)] and categorical variables as frequencies with percentages. Persistence rates at 3, 6, and 12 months were calculated.
Results: A total of 221 patients with PsA were included in the study [SECU150, 103 (46.6%); SECU300, 38 (17.2%); and IXE, 80 (36.2%)]. Treatment patterns differed by clinical characteristics: SECU150 was initiated more frequently in patients with moderate PsA and less peripheral joint involvement, while patients on SECU300 included those with a higher rate of enthesitis and active skin psoriasis, and patients on IXE showed a longer time since PsA diagnosis, more frequent comorbidities, joint involvement, and diagnosed skin psoriasis. Conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) were previously administered in 88.2% of patients and biologic or targeted synthetic disease-modifying anti-rheumatic drugs (b/tsDMARDs) were administered in 72.9%. The mean number of previous b/tsDMARDs was 2.4 (SD 1.5) in the IXE cohort, 1.7 (SD 0.9) in the SECU300 cohort, and 1.6 (SD 1.0) for those in the SECU150 cohort. The global persistence on all anti-IL17 was 97.2%, 88.4%, and 81.0% at 3, 6, and 12 months, respectively. The most frequent reason for discontinuation across the three cohorts was lack of effectiveness (16.7%; 37/221).
Conclusions: Most of the patients with PsA treated with anti-IL17 in Spain had moderate to severe disease activity, high peripheral joint and skin involvement, and had received previous b/tsDMARDs. More than 80% of patients with a 1-year follow-up persisted on anti-IL17, with the highest rate observed in the IXE cohort, followed by the SECU150 then SECU300 cohorts.
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http://dx.doi.org/10.1007/s12325-023-02693-w | DOI Listing |
Int J Lang Commun Disord
January 2025
Division of Communication Sciences and Disorders, University of Cape Town, Rondebosch, South Africa.
Background: There is a global need for synthetic speech development in multiple languages and dialects, as many children who cannot communicate using their natural voice struggle to find synthetic voices on high-technology devices that match their age, social and linguistic background.
Aims: To document multiple stakeholders' perspectives surrounding the quality, acceptability and utility of newly created synthetic speech in three under-resourced South African languages, namely South African English, Afrikaans and isiXhosa.
Methods & Procedures: A mixed methods research design was selected.
J Vet Intern Med
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School of Veterinary Science, Massey University, Palmerston North, New Zealand.
Background: Most veterinary literature examining medication compliance has described the phenomenon in dogs. The evidence available regarding factors affecting cat owner medication compliance is limited.
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J Cosmet Dermatol
January 2025
CGH Compagnie Generale des Hopitaux, Rome, Italy.
Introduction: In recent years, the field of aesthetic dermatology has witnessed a surge in demand for minimally invasive procedures aimed at rejuvenating aging skin. This study aims to address this demand by evaluating the effectiveness of the injectable gel in rejuvenating aging skin, particularly by targeting collagen regeneration and lifting effect.
Materials And Methods: The study involved 43 participants who underwent three monthly injection sessions targeting retaining ligaments.
Clin Transl Sci
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Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
View Article and Find Full Text PDFExpert Opin Drug Saf
January 2025
Department of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Background: Fulminant type 1 diabetes mellitus (FT1DM) is a severe subtype of type 1 diabetes characterized by rapid onset, metabolic disturbances, and irreversible insulin secretion failure. Recent studies have suggested associations between FT1DM and certain medications, warranting further investigation.
Objectives: This study aims to analyze drugs associated with an increased risk of FT1DM using the Food and Drug Administration Adverse Event Reporting System (FAERS) database.
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