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Background: Randomized clinical trials have demonstrated that dupilumab reduces exacerbations and maintenance oral corticosteroids (mOCS) use in patients with uncontrolled and severe asthma. However, evidence in real-life settings is limited.
Objective: This study aimed to evaluate the proportion of patients achieving a clinical response and remission after treatment with dupilumab and identify predictors of response.
Methods: We conducted a prospective observational study involving 203 severe asthma patients from the nationwide Danish Severe Asthma Register treated with dupilumab for 12 months. Clinical response to treatment was defined as a 50 % reduction in exacerbations and/or a 50 % reduction in mOCS dose. Clinical remission required meeting all the following criteria: complete cessation of exacerbations, no mOCS use, an Asthma Control Questionnaire (ACQ-6) score <1.50 and forced expiratory volume in 1 s (FEV) > 80 % of the predicted value. Predictors of treatment response were identified in a multivariate logistic regression model.
Results: After 12 months of dupilumab treatment, 91 % of patients demonstrated a clinical response, and 30 % achieved clinical remission. All patients experienced fewer exacerbations, while patients with a clinical response and those achieving remission also exhibited significant improvements in mOCS dose reduction, FEV %, and ACQ-6 score. Predictors of remission included higher baseline fractional exhaled nitric oxide [OR = 3.82 (95 % CI: 0.90, 16.17)], lower body mass index [OR = 0.82 (95 % CI: 0.71, 0.93) for one unit increase], and the absence of allergic rhinitis [OR = 0.30 (95 % CI: 0.08, 1.11)].
Conclusion: In this real-life setting, involving over 200 patients treated with dupilumab for 12 months, 91 % had a clinical response, and 30 % of patients achieved clinical remission. These findings highlight dupilumab's potential in improving outcomes for severe asthma patients.
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http://dx.doi.org/10.1016/j.rmed.2025.108203 | DOI Listing |
Stroke
September 2025
Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China (H.Z., K.H., Q.G.).
Background: Poststroke cognitive impairment (PSCI) affects 30% to 50% of stroke survivors, severely impacting functional outcomes and quality of life. This study uses functional near-infrared spectroscopy (fNIRS) to assess task-evoked brain activation and its potential for stratifying the severity in patients with PSCI.
Method: A cross-sectional study was conducted at Nanchong Central Hospital between June 2023 and April 2024.
Stroke
September 2025
Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University.
Background: Risk stratification in posterior circulation ischemic stroke (PCIS) is challenging. Although the Posterior Circulation Ischemic Stroke Outcome Score (PCISOS) was developed to address this, its utility in minor PCIS and in identifying homogeneous populations for clinical trials or treatment-responsive subgroups remains uncertain.
Methods: CHANCE-2 (Clopidogrel in High-Risk Patients With Acute Non-disabling Cerebrovascular Events-II) was a multicenter, randomized trial that enrolled patients with minor stroke or high-risk transient ischemic attack who carried CYP2C19 loss-of-function alleles.
Biologics
September 2025
Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Beijing, People's Republic of China.
Osteoarthritis (OA) is a prevalent chronic disease, characterized by progressive joint degeneration and primarily affects older adults. OA leads to reduced functional abilities, a lower quality of life, and an increased mortality rate. Currently, effective treatment options for OA are lacking.
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August 2025
Department of Ophthalmology, Stanford University, Palo Alto, CA, United States.
Introduction: Vision language models (VLMs) combine image analysis capabilities with large language models (LLMs). Because of their multimodal capabilities, VLMs offer a clinical advantage over image classification models for the diagnosis of optic disc swelling by allowing a consideration of clinical context. In this study, we compare the performance of non-specialty-trained VLMs with different prompts in the classification of optic disc swelling on fundus photographs.
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