Summary Background Long‐term therapy for psoriasis is impaired by gradual loss of effectiveness and treatment discontinuation. Identifying factors that affect biologic drug survival may help in treatment optimization. Objectives To identify factors that predicted biologic drug persistence or discontinuation in a real‐life setting. Methods We identified studies of biologic persistence in psoriasis through a comprehensive, systematic literature search using predefined search criteria. Studies were screened by title and abstract then further by full‐text review. Hazard ratio (HR) data were extracted for all available predictive factors (HRs > 1 denoted biologic discontinuation, and HRs < 1 denoted biologic persistence). A meta‐analysis of HRs (random‐effects model) was used to assess any predictive factor included in at least two studies. Results Sixteen cohort studies were included in the review, with a total of 32 194 patients. A meta‐analysis was performed on 13 studies (n = 29 802): nine for female sex (n = 28 090), six for obesity (n = 9311) and six for psoriatic arthritis (n = 24 444). Obesity and female sex predicted treatment discontinuation, with HRs of 1.21 [95% confidence interval (CI) 1.10–1.32, I2 = 0%] and 1.22 (95% CI 1.07–1.38, I2 = 84%), respectively. Concomitant psoriatic arthritis predicted biologic persistence (HR 0.83, 95% CI 0.80–0.86, I2 = 0%). Female sex predicted biologic discontinuation due to side‐effects, with a pooled HR of 2.16 (95% CI 1.39–3.35, I2 = 67%). Other reported predictive factors (smoking, metabolic syndrome, biologic naivety, age, Dermatology Life Quality Index, dyslipidaemia, high socioeconomic status and concomitant methotrexate) were insufficiently reported for meta‐analysis. Conclusions Our meta‐analysis demonstrates that female sex and obesity predict biologic discontinuation, and concomitant psoriatic arthritis predicts biologic survival. What's already known about this topic? Ineffectiveness is the main factor that causes drug discontinuation during long‐term treatment of psoriasis. It is unclear which factors and comorbidities impact drug persistence. What does this study add? Female sex and obesity predict biologic discontinuation due to ineffectiveness and adverse events. Concomitant psoriatic arthritis is associated with improved drug persistence.
To date, there is no clinically agreed-upon diagnostic test for acute respiratory distress syndrome (ARDS): the condition is still diagnosed on the basis of a constellation of clinical findings, laboratory tests, and radiological images. Development of ARDS biomarkers has been in a state of continuous flux during the past four decades. To address ARDS heterogeneity, several studies have recently focused on subphenotyping the disease on the basis of observable clinical characteristics and associated blood biomarkers. However, the strong correlation between identified biomarkers and ARDS subphenotypes has yet to establish etiology; hence, there is a need for the adoption of other methodologies for studying ARDS. In this review, we will shed light on ARDS metabolomics research in the literature and discuss advances and major obstacles encountered in ARDS metabolomics research. Generally, the ARDS metabolomics studies focused on identification of differentiating metabolites for diagnosing ARDS, but they were performed to different standards in terms of sample size, selection of control cohort, type of specimens collected, and measuring technique utilized. Virtually none of these studies have been properly validated to identify true metabolomics biomarkers of ARDS. Though in their infancy, metabolomics studies exhibit promise to unfold the biological processes underlying ARDS and, in our opinion, have great potential for pushing forward our present understanding of ARDS.
Objective.Biologic agents with different mechanisms of action [inhibitors of tumor necrosis factor-α (TNF-α), interleukin (IL)-12/23, and IL-17] showed efficacy in randomized controlled trials (RCT) in the treatment of psoriatic arthritis. We conducted a pooled metaanalysis of these agents for treatment of dactylitis and enthesitis and compared results with the American College of Rheumatology 20 (ACR20) response and Health Assessment Questionnaire–Disability Index (HAQ-DI) scores.Methods.A systematic literature search was performed and a pooled metaanalysis of RCT with anti-TNF-α (infliximab, golimumab, adalimumab), anti–IL-12/23 (ustekinumab), and anti–IL-17 (secu kinumab, ixekizumab) was conducted using the random-effects model. Bias was assessed using the Cochrane risk-of-bias tool.Results.Eighteen RCT were included in the pooled analysis (n = 6981). Both TNF-α inhibitors and novel biologics (ustekinumab, secukinumab, ixekizumab) demonstrated significant resolution of dactylitis at Week 24 with pooled risk ratios (RR) versus placebo of 2.57 (95% CI 1.36–4.84) and 1.88 (95% CI 1.33–2.65), respectively. For resolution of enthesitis at Week 24, RR for TNF-α inhibitors was 1.93 (95% CI 1.33–2.79) versus 1.95 (95% CI 1.60–2.38) for novel biologics. Both biologic categories showed overlapping ranges of ACR20 responses (TNF-α inhibitors: RR = 2.23, 95% CI 1.60–3.11; pooled IL-12/23 and −17: RR = 2.30, 95% CI 1.94–2.72) and similar quality of life improvement scores with mean HAQ-DI score changes of −0.29 (95% CI −0.39 to −0.19) and −0.26 (95% CI −0.31 to −0.22), respectively.Conclusion.The pooled analysis demonstrated that anti–TNF-α agents have the same efficacy as novel agents (ustekinumab, secukinumab, and ixekizumab) in dactylitis and enthesitis.
Drug survival studies have been utilized to evaluate the real-world effectiveness of biologics used in psoriasis. However, the increasing volume of drug survival data suffers from large variability due to regional differences in drug availability, patient selection and biologic reimbursement. The objective of this study was to conduct a meta-analysis of biologic drug survival to determine comparative effectiveness of the biologics in a real-world setting. Studies reporting drug survival for biologic therapy in psoriasis were identified by a systematic literature search. Hazard ratio data for drug discontinuation were estimated directly from published Kaplan-Meier estimator curves at year 1, 2, and 5 of treatment and compared pairwise for the following biologics: ustekinumab, adalimumab, etanercept, infliximab, secukinumab, and ixekizumab. This pooled hazard ratios were used to estimate 2- and 5-year overall drug survival rates. Ustekinumab had the longest persistence at 2 and 5 years among all biologics included in this meta-analysis. Adalimumab was superior to etanercept and infliximab at 5 years. Pooled 5-year drug survival rates for adalimumab, etanercept, and infliximab were 46.3, 35.9, and 34.7%, respectively. Two- and five-year data were not available for anti-IL-17 drugs, but at 1-year ustekinumab outperformed secukinumab, the latter being equal to anti-TNFs. In conclusion, ustekinumab is characterized by longer drug survival than TNF inhibitors and IL-17 inhibitors. Estimated pooled 2- and 5-year drug survival rates may serve as a useful tool for patient communication and clinical decision-making.
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