Rosacea-like skin reaction under treatment with dupilumab for atopic dermatitis.

Purpose: Dupilumab is a widely recommended treatment for moderate-to-severe atopic dermatitis (AD), with known ocular side effects but less frequent cutaneous reactions.

Material And Methods: This case report details a 52-year-old female patient with atopic dermatitis treated with dupilumab. After an initially successful treatment, the patient developed a rosacea-like dermatitis.

Successful Treatment of Linear Psoriasis With the IL-17a-Antagonist Ixekizumab: A Case Report.

Linear psoriasis (LP) represents a rare variant of psoriasis. The clinical presentation includes erythematous plaques distributed along the Blaschko lines, reflecting the presence of embryological mosaicism. The clinical and histopathological features of this condition show many similarities with inflammatory linear verrucous epidermal nevus (ILVEN), which presents a challenge in differential diagnosis.

How spinal GABAergic circuits modulate cerebral processing of postsurgical pain.

Post-surgical pain affects millions each year, hindering recovery and quality of life. Surgical procedures cause tissue damage and inflammation, leading to peripheral and central sensitization, resulting in pain at rest or hyperalgesia to mechanical stimuli, among others. In a rat model for post-surgical pain, spinal GABAergic transmission via GABA receptors reduces mechanical hypersensitivity but has no effect on pain at rest.

Drivers of Palliative Care and Hospice Use Among Patients With Advanced Lung Cancer.

Purpose: Despite rigorous evidence of improved quality of life and longer survival, disparities in the utilization of palliative and hospice care persist for racial and ethnic minority patients with cancer. This study evaluated the impact of psychosocial factors on utilization of these services.

Methods: Patients with advanced lung cancer were recruited at a large academic urban hospital.

Conjunctival Bulbar Redness Extraction Pipeline for High-Resolution Ocular Surface Photography.

Purpose: To extract conjunctival bulbar redness from standardized high-resolution ocular surface photographs of a novel imaging system by implementing an image analysis pipeline.

Methods: Data from two trials (healthy; outgoing ophthalmic clinic) were collected, processed, and used to train a machine learning model for ocular surface segmentation. Various regions of interest were defined to globally and locally extract a redness biomarker based on color intensity.