Aims: Although soluble interleukin 2 receptor (sIL-2R) is a potentially useful biomarker in the diagnosis and evaluation of disease severity in patients with sarcoidosis, its prognostic implication in patients with cardiac sarcoidosis (CS) is unclear. We sought to investigate whether sIL-2R was associated with clinical outcomes and to clarify the relationship between sIL-2R levels and disease activity in patients with CS.
Methods And Results: We examined 83 consecutive patients with CS in our hospital who had available serum sIL-2R data between May 2003 and February 2020. The primary outcome was a composite of advanced atrioventricular block, ventricular tachycardia or ventricular fibrillation, heart failure hospitalization, and all-cause death. Inflammatory activity in the myocardium and lymph nodes was assessed by F-fluorideoxyglucose positron emission tomography/computed tomography. During a median follow-up period of 2.96 (IQR 2.24-4.27) years, the primary outcome occurred in 24 patients (29%). Higher serum sIL-2R levels (>538 U/mL, the median) were significantly related to increased incidence of primary outcome (P = 0.037). Multivariable Cox regression analysis showed that a higher sIL-2R was independently associated with an increased subsequent risk of adverse events (HR 3.71, 95% CI 1.63-8.44, P = 0.002), even after adjustment for significant covariates. sIL-2R levels were significantly correlated to inflammatory activity in lymph nodes (r = 0.346, P = 0.003) but not the myocardium (r = 0.131, P = 0.27).
Conclusions: Increased sIL-2R is associated with worse long-term clinical outcomes accompanied by increased systemic inflammatory activity in CS patients.
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http://dx.doi.org/10.1002/ehf2.13614 | DOI Listing |
Metabolites
December 2024
Division of Pulmonary, Critical Care, and Sleep, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL 32209, USA.
Sarcoidosis is a granulomatous disease affecting multiple organ systems and poses a diagnostic challenge due to its diverse clinical manifestations and absence of specific diagnostic tests. Currently, blood biomarkers such as ACE, sIL-2R, CD163, CCL18, serum amyloid A, and CRP are employed to aid in the diagnosis and monitoring of sarcoidosis. Metabolomics holds promise for identifying highly sensitive and specific biomarkers.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq. Electronic address:
Background: A recent study conducted by the laboratory of the first author revealed that major depression is composed of two distinct subtypes: major dysmood disorder (MDMD) and simple dysmood disorder (SDMD). The latter is a less severe phenotype with fewer aberrant biological pathways. MDMD, but not SDMD, patients were identified to have highly sensitized cytokine/growth factor networks using stimulated whole blood cultures.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
November 2024
Clinical Medical Center of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China.
Background: Lung cancer is characterized by high morbidity and mortality due to the lack of practical early diagnostic and prognostic tools. The present study uses machine learning algorithms to construct a clinical predictive model for non-small cell lung cancer (NSCLC) patients.
Methods: Laboratory indices of the NSCLC patients at their initial visit were collected for quality control and exploratory analysis.
J Orthop
April 2025
Department of Orthopaedic Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo 173-8606, Japan.
Zhongguo Dang Dai Er Ke Za Zhi
October 2024
Institute of Pediatrics, Seventh Medical Centre, General Hospital of the Chinese People's Liberation Army, Beijing 100010, China.
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