CT Patterns of Interstitial Lung Disease in Patients with Plaque Psoriasis: A Retrospective Case Series Study.
Giulio RizzettoCorrado TagliatiMarco FoganteMatteo MarcucciGiulio ArgaliaGiuseppe LanniAlberto RebonatoGian Marco GiuseppettiRoberto EspositoElisa MolinelliEdoardo De SimoniAnnamaria OffidaniOriana SimonettiPublished in: Medicina (Kaunas, Lithuania) (2023)
Background and Objectives: Recently published articles reported an association between psoriasis and interstitial lung diseases (ILDs). The aim of this study is to evaluate the differences in ILD computed tomography (CT) patterns between smoker and never smoker plaque psoriasis (PP) patients under topical treatment without psoriatic arthritis (PA), inflammatory bowel disease (IBD) or connective tissue diseases (CTDs). Matherials and Methods : Two radiologists evaluated chest CT examinations of 65 patients (33 smokers, 32 never smokers) with PP. Results: Usual interstitial pneumonia (UIP) pattern was diagnosed in 36 patients, nonspecific interstitial pneumonia pattern in 19, hypersensitivity pneumonitis in 7 and pleuropulmonary fibroelastosis (PPFE) in 3 patients. UIP pattern showed a statistically significant higher frequency in smoker patients ( p = 0.0351). Respiratory symptoms were reported in 80% of patients. Conclusions: ILDs seems to represent a new comorbidity associated with psoriasis. Moreover, a statistically significant association between smokers and UIP pattern in PP patients is found. Respiratory symptoms should be evaluated in PP patients, in collaboration with a radiologist and a pneumologist. However, further studies are required to better understand the epidemiology of ILDs in PP patients.
Keyphrases
- end stage renal disease
- computed tomography
- ejection fraction
- chronic kidney disease
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- rheumatoid arthritis
- magnetic resonance
- systematic review
- machine learning
- magnetic resonance imaging
- depressive symptoms
- systemic sclerosis
- patient reported
- artificial intelligence
- sleep quality