Publications by authors named "Kacorzyk Radoslaw"

Background: Nonsteroidal anti-inflammatory drugs-exacerbated respiratory disease (NSAIDs-ERD) is characterized by altered arachidonic acid (AA) metabolism. Aspirin hypersensitivity is diagnosed using aspirin challenge, while induced sputum is collected to perform cell counts and to identify local biomarkers in induced sputum supernatant (ISS). This study aimed to assess the levels of a newly identified eicosanoid, 15-oxo-eicosatetraenoic acid (15-oxo-ETE), in ISS at baseline and during aspirin-induced bronchospasm in patients with NSAIDs-ERD.

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Article Synopsis
  • 15-oxo-eicosatetraenoic acid (15-oxo-ETE) is linked to arachidonic acid metabolism and was found to be overproduced in patients with nonsteroidal anti-inflammatory drug-exacerbated respiratory disease (N-ERD).
  • A study involving patients with N-ERD, asthmatics who tolerate aspirin, and healthy controls measured levels of 15-oxo-ETE and leukotriene E (LTE) to evaluate their potential as diagnostic markers.
  • Results showed that 15-oxo-ETE levels were significantly higher in N-ERD patients, leading to the development of the Aspirin Hypersensitivity Diagnostic Index (AHDI) which showed strong accuracy in
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Background: Aspirin desensitization followed by daily aspirin use is an effective treatment for aspirin-exacerbated respiratory disease (AERD).

Objective: To assess clinical features as well as genetic, immune, cytological and biochemical biomarkers that might predict a positive response to high-dose aspirin therapy in AERD.

Methods: We enrolled 34 AERD patients with severe asthma who underwent aspirin desensitization followed by 52-week aspirin treatment (650 mg/d).

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Background: To date, there has been no reliable in vitro test to either diagnose or differentiate nonsteroidal anti-inflammatory drug (NSAID)-exacerbated respiratory disease (N-ERD). The aim of the present study was to develop and validate an artificial neural network (ANN) for the prediction of N-ERD in patients with asthma.

Methods: This study used a prospective database of patients with N-ERD (n = 121) and aspirin-tolerant (n = 82) who underwent aspirin challenge from May 2014 to May 2018.

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Purpose: Appropriate management of patients with epilepsy requires precise classification of their disease. Implementation of the recent International League Against Epilepsy (ILAE) classification of seizures and epilepsies may affect data on the relative proportions of specific types of seizures or epilepsies and should be tested in everyday practice. The aim of the study was to determine the prevalence of specific epilepsy types, syndromes, and etiologies, as defined by the new ILAE classification, in a large cohort of adult patients with epilepsy.

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