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Diagnostic accuracy of serum biomarkers to identify giant cell arteritis in patients with polymyalgia rheumatica. | LitMetric

AI Article Synopsis

  • Polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) often overlap, but PMR lacks the vascular inflammation present in GCA, suggesting different underlying mechanisms.
  • *In a study involving 45 isolated PMR patients and 29 PMR/GCA overlap patients, various serum biomarkers related to inflammation and vascular function were measured to differentiate between the two conditions before starting treatment.
  • *Results indicated that certain biomarker ratios, specifically CXCL9/IL-6 and MMP-3/sCD141, were more effective at diagnosing GCA in patients with isolated PMR, demonstrating the potential to guide further examination for those at risk.*

Article Abstract

Introduction: Polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) are frequently overlapping conditions. Unlike in GCA, vascular inflammation is absent in PMR. Therefore, serum biomarkers reflecting vascular remodelling could be used to identify GCA in cases of apparently isolated PMR.

Materials And Methods: 45 patients with isolated PMR and 29 patients with PMR/GCA overlap were included. Blood samples were collected before starting glucocorticoids for all patients. Serum biomarkers reflecting systemic inflammation (interleukin-6 (IL-6), CXCL9), vascular remodelling (MMP-2, MMP-3, MMP-9) and endothelial function (sCD141, sCD146, ICAM-1, VCAM-1, vWFA2) were measured by Luminex assays.

Results: Patients with GCA had higher serum levels of sCD141 (p=0.002) and CXCL9 (p=0.002) than isolated PMR. By contrast, serum levels of MMP-3 (p=0.01) and IL-6 (p=0.004) were lower in GCA than isolated PMR. The area under the curve (AUC) was calculated for sCD141, CXCL9, IL-6 and MMP-3. Separately, none of them were >0.7, but combinations revealed higher diagnostic accuracy. The CXCL9/IL-6 ratio was significantly increased in patients with GCA (p=0.0001; cut-off >32.8, AUC 0.76), while the MMP-3/sCD141 ratio was significantly lower in patients with GCA (p<0.0001; cut-off <5.3, AUC 0.79). In patients with subclinical GCA, which is the most difficult to diagnose, sCD141 and MMP-3/sCD141 ratio demonstrated high diagnostic accuracy with AUC of 0.81 and 0.77, respectively.

Conclusion: Combined serum biomarkers such as CXCL9/IL-6 and MMP-3/sCD141 could help identify GCA in patients with isolated PMR. It could allow to select patients with PMR in whom complementary examinations are needed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11409308PMC
http://dx.doi.org/10.1136/rmdopen-2024-004488DOI Listing

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