Systemic sclerosis & Raynaud's

KL6 and IL-18 levels are negatively correlated with respiratory function tests and interstitial lung disease (ILD) extent assessed on high-resolution computed tomography (HRCT) in patients with systemic sclerosis-related interstitial lung disease (SSc-ILD)

Semin Arthritis RheumPublished Cross-sectional study

Authors' conclusion

Serum KL-6 levels and IL-18 were increased in patients with SSc-ILD and showed a positive correlation with ILD severity as measured using a semiquantitative CT grading scale and negative correlation with PFT parameters.

Study context

Population
Patients with systemic sclerosis (SSc) fulfilling the 2013 ACR/EULAR criteria; mean age at diagnosis 57.5±15 years, 27% male
Participants
74 patients
Exposure
SSc-ILD vs SSc without ILD
  • SSc-ILDn = 28
Outcome
Serum KL-6, IL-18 and IL-18BP as biomarkers of SSc-ILD severity on HRCT and pulmonary function tests (PFT) (%FVC, %DLCO)

Main finding

As reported in the abstract

Elevated serum KL-6 in SSc-ILD vs without ILD, preserved after adjusting for age and sex
p=0.003
Elevated serum IL-18 in SSc-ILD vs without ILD, preserved after adjusting for age and sex
p=0.04
Negative correlation KL-6 and %FVC
β=−0.25, p 0.037
Negative correlation KL-6 and %DLCO
β=−0.28, p 0.02
Negative correlation IL-18 and %FVC
β=−0.38, p 0.001
Negative correlation IL-18 and %DLCO
β=−0.27, p 0.03
KL-6 differentiated HRCT ILD extent grades 1 and 2
p = 0.028
IL-18 differentiated HRCT ILD extent grades 1 and 2
p = 0.022
HRCT semiquantitative ILD grade proportional to KL-6
p = 0.01
HRCT semiquantitative ILD grade proportional to IL-18
p = 0.03
Positive correlation extensive lung disease and KL-6
β=0.42, p = 0.007

Observational data: associations, not effects.

Original publication

KL6 and IL-18 levels are negatively correlated with respiratory function tests and ILD extent assessed on HRCT in patients with systemic sclerosis-related interstitial lung disease (SSc-ILD). Semin Arthritis Rheum. Published 13 January 2024. doi:10.1016/j.semarthrit.2024.152366

Composed by AI from the published abstract and checked against it. How Briefs are made →

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