Journal of Clinical Medicine (Aug 2020)

Sjögren’s Syndrome: The Clinical Spectrum of Male Patients

  • Loukas Chatzis,
  • Vasileios C. Pezoulas,
  • Francesco Ferro,
  • Saviana Gandolfo,
  • Valentina Donati,
  • Marco Binutti,
  • Sara Zandonella Callegher,
  • Aliki Venetsanopoulou,
  • Evangelia Zampeli,
  • Maria Mavrommati,
  • Ourania D. Argyropoulou,
  • Giorgos Michalopoulos,
  • Paraskevi V. Voulgari,
  • Themis Exarchos,
  • Chiara Baldini,
  • Fotini N. Skopouli,
  • Dimitrios I. Fotiadis,
  • Salvatore De Vita,
  • Haralampos M. Moutsopoulos,
  • Athanasios G. Tzioufas,
  • Andreas V. Goules

DOI
https://doi.org/10.3390/jcm9082620
Journal volume & issue
Vol. 9, no. 8
p. 2620

Abstract

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Background: To compare the clinical, serological and histologic features between male and female patients with Sjögren’s syndrome (SS) and explore the potential effect of gender on lymphoma development. Methods: From a multicenter population (Universities of Udine, Pisa and Athens, Harokopion and Ioannina (UPAHI)) consisting of consecutive SS patients fulfilling the 2016 ACR/EULAR criteria, male patients were identified, matched and compared with female controls. Data-driven multivariable logistic regression analysis was applied to identify independent lymphoma-associated factors. Results: From 1987 consecutive SS patients, 96 males and 192 matched female controls were identified and compared. Males had a higher frequency of lymphoma compared to females (18% vs. 5.2%, OR = 3.89, 95% CI: 1.66 to 8.67; p = 0.0014) and an increased prevalence of serum anti-La/SSB antibodies (50% vs. 34%, OR = 1.953, 95% CI: 1.19 to 3.25; p = 0.0128). No differences were observed in the frequencies of lymphoma predictors between the two genders. Data-driven multivariable logistic regression analysis revealed negative association of the female gender with lymphoma and positive association with lymphadenopathy. Conclusion: Male SS patients carry an increased risk of lymphoma development. Although statistics showed no difference in classical lymphoma predictors compared to females, data-driven analysis revealed gender and lymphadenopathy as independent lymphoma-associated features.

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