Patients with psoriasis may have an increased risk of cardiovascular disease and myocardial infarction. The aim of this study was to investigate whether psoriasis is associated with an increased prevalence of coronary artery disease (CAD) independent of established cardiovascular risk factors in patients undergoing coronary angiography. A retrospective cohort analysis was performed by linking records of all patients undergoing coronary angiography from 2004 through 2009 with dermatology medical records. From an overall cohort of 9,473 patients, we identified 204 patients (2.2%) with psoriasis before coronary angiography. Patients with psoriasis had higher body mass index (31.3 ± 8.1 vs 29.3 ± 7.1 kg/m(2), p <0.001) but the prevalence of other risk factors was similar. Median duration of psoriasis before cardiac catheterization was 8 years (interquartile range 2 to 24). Patients with psoriasis were more likely to have CAD (84.3% vs 75.7%, p = 0.005) at coronary angiography. After adjusting for established cardiovascular risk factors, psoriasis was independently associated with presence of angiographically confirmed CAD (adjusted odds ratio 1.8, 95% confidence interval 1.2 to 2.8, p = 0.006). In patients with psoriasis, duration of psoriasis >8 years was also independently associated with angiographically confirmed CAD after adjusting for established cardiovascular risk factors (adjusted odds ratio 3.5, 95% confidence interval 1.3 to 9.6, p = 0.02). In conclusion, patients with psoriasis and especially those with psoriasis for >8 years have a higher prevalence of CAD than patients without psoriasis undergoing coronary angiography.
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http://dx.doi.org/10.1016/j.amjcard.2011.11.025 | DOI Listing |
Clin Rheumatol
January 2025
Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, China.
Objective: This study aimed to analyze and compare the proportion of patients with different types of inflammatory arthritis and investigate the clinical characteristics, including symptoms and signs, medication choices, and disease activity, in the daily clinical practice of China.
Methods: Patients with inflammatory arthritis were recruited from 16 Grade-A tertiary hospitals between August 2021 and April 2022. The medical profiles, encompassing sociodemographic characteristics, clinical and laboratory date, were collected.
Dermatol Pract Concept
January 2025
Institute of Dermatology, Department of Medicine, University of Udine, Italy.
Indian Dermatol Online J
December 2024
Department of Experimental and Clinical Medicine, DISM, Institute of Dermatology Udine, Udine, Italy.
Introduction: Ultraviolet-induced fluorescence dermoscopy (UVF dermoscopy) is a novel diagnostic technique for identifying and diagnosing numerous skin tumors, inflammatory dermatoses, and infectious diseases. The ultraviolet (UV) band has a wavelength ranging from 10 to 400 nm. When intense UV radiation with shorter wavelengths strikes a target chromophore, visible light (VL) with a longer wavelength and lower energy is produced in the skin.
View Article and Find Full Text PDFIndian Dermatol Online J
December 2024
Department of Dermatology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Introduction: Nail psoriasis is a relatively unexplored clinical feature in the Indian population. Its correlation with cutaneous, musculoskeletal, and serological manifestations was analyzed.
Material And Methods: This study included 45 patients with clinically evident nail psoriasis.
Indian Dermatol Online J
December 2024
Financial Research and Executive Insights, Everest Group, Gurugram, Haryana, India.
Background: Artificial intelligence (AI) is revolutionizing healthcare by enabling systems to perform tasks traditionally requiring human intelligence. In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. In the specific domain of onychology, AI presents a promising avenue for diagnosing nail disorders, analyzing intricate patterns, and improving diagnostic accuracy.
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