This study aims to perform global gonadal and sexual function assessments in systemic lupus erythematosus-related antiphospholipid syndrome (SLE-APS) patients. A cross-sectional study was conducted in ten SLE-APS male patients and 20 healthy controls. They were assessed by demographic data, clinical features, urological examination, sexual function, testicular ultrasound, seminal parameters, sperm antibodies, and hormone profile. The median of current age was similar in SLE-APS patients and controls with a higher frequency of erectile dysfunction in the former group (30 vs. 0 %, p = 0.029). The median penis circumference was significantly reduced in SLE-APS patients with erectile dysfunction compared to patients without this complication (8.17 vs. 9.14 cm, p = 0.0397). SLE-APS patients with previous arterial thrombosis had a significantly reduced median penis circumference compared to those without this complication (7.5 vs. 9.18 cm, p = 0.039). Comparing SLE-APS patients and controls, the former had a significant lower median of sperm concentration (41.1 vs. 120.06 × 10(6)/mL, p = 0.003), percentages of sperm motility (47.25 vs. 65.42 %, p = 0.047), normal sperm forms by WHO guidelines (11 vs. 23.95 %, p = 0.002), and Kruger criteria (2.65 vs. 7.65 %, p = 0.02). Regarding seminal analysis, the medians of sperm concentration and total sperm count were significantly lower in SLE-APS patients treated with intravenous cyclophosphamide vs. those untreated with this drug (p < 0.05). Therefore, we have observed a novel association of reduced penile size with erectile dysfunction and previous arterial thrombosis in SLE-APS patients. Penis assessment should be routinely done in SLE-APS patients with fertility problems. We also identified that intravenous cyclophosphamide underlies severe sperm alterations in these patients.
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http://dx.doi.org/10.1007/s10067-012-2083-4 | DOI Listing |
Reumatologia
September 2024
Connective Tissue Diseases Clinic, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland.
Lupus
September 2024
Department of Rheumatology, University College London Hospitals NHS Foundation Trust, London, UK.
Objective: To assess the impact of concomitant systemic lupus erythematosus (SLE) on the clinicopathological manifestations of thrombotic antiphospholipid syndrome (APS).
Methods: This single-centre, retrospective study compared clinical and antiphospholipid antibody (aPL) data from 118 patients, 58 with SLE-associated APS (SLE-APS), and 60 with primary APS.
Results: Median follow-up was 13.
Cureus
June 2024
Obstetrics and Gynecology, Aga Khan University, Karachi, PAK.
Turk J Med Sci
May 2024
Division of Rheumatology, Department of Internal Medicine, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Turkiye.
Background/aim: In this cross-sectional study, it was aimed to test the predictive value of noncriteria antiphospholipid antibodies (aPL) in addition to the global antiphospholipid syndrome score (GAPSS) in predicting vascular thrombosis (VT) in a cohort of patients with APS and aPL (+) systemic lupus erythematosus (SLE).
Material And Methods: This study included 50 patients with primary APS, 68 with SLE/APS, and 52 with aPL (+) SLE who were classified according to VT as VT ± pregnancy morbidity (PM), PM only or aPL (+) SLE. Antiphospholipid serology consisting of lupus anticoagulant (LA), anticardiolipin (aCL) immunoglobulin G (IgG)/IgM/IgA, antibeta2 glycoprotein I (aβ2GPI) IgG/IgM/IgA, antiphosphatidylserine/prothrombin (aPS/PT) IgG/IgM and antidomain-I (aDI) IgG was determined for each patient.
Ann Rheum Dis
August 2024
Clinical, Experimental Surgery & Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
Introduction: Systemic lupus erythematosus with antiphospholipid syndrome (SLE-APS) represents a challenging SLE endotype whose molecular basis remains unknown.
Methods: We analysed whole-blood RNA-sequencing data from 299 patients with SLE (108 SLE-antiphospholipid antibodies (aPL)-positive, including 67 SLE-APS; 191 SLE-aPL-negative) and 72 matched healthy controls (HC). Pathway enrichment analysis, unsupervised weighted gene coexpression network analysis and machine learning were applied to distinguish disease endotypes.
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