What do simple hematological parameters tell us in patients with systemic sclerosis?

Acta Dermatovenerol Alp Pannonica Adriat. 2020 Sep;29(3):101-107.

Abstract

Introduction: Systemic sclerosis (SSc) or scleroderma is a clinically heterogeneous disease. Autoantibodies associated with different clinical features may help in predicting organ involvement. Complete blood count (CBC) parameters and neutrophil/lymphocyte (NLR), monocyte/lymphocyte (MLR), and platelet/lymphocyte (PLR) ratios, which are considered biomarkers of systemic inflammation, have been reported many times in various rheumatologic diseases. Studies related to the usefulness of the CBC to assess the severity of SSc are still lacking. This study seeks to determine whether CBC parameters associated with organ involvement, when evaluated together with clinical features and autoantibodies, can additionally contribute to risk estimation.

Methods: Adult patients with SSc (n = 130) and healthy control (n = 129) groups were enrolled in the study. Epidemiological, clinical, laboratory, and radiological findings were obtained by examining patient records.

Results: PLR, NLR, and MLR were related to organ involvement. Statistically significant results were obtained with hemoglobin (≤ 13.0 g/dl), lymphocyte count (≤ 1,900 × 103/ml), and mean platelet volume (≤ 8.0 fl) to estimate the risk of interstitial lung disease (p < 0.05). When the lymphocyte count was 1,400 (103/ml) or less, there was a significantly greater risk of pulmonary hypertension. Neutrophil volume ≤ 141 indicated gastrointestinal tract involvement.

Conclusions: Simple hematological parameters can be used for predicting SSc-related organ involvements.

MeSH terms

  • Adult
  • Aged
  • Autoantibodies / blood
  • Biomarkers / blood
  • Blood Cell Count
  • Case-Control Studies
  • Cross-Sectional Studies
  • Female
  • Hemoglobins / metabolism
  • Humans
  • Male
  • Microscopic Angioscopy
  • Middle Aged
  • Scleroderma, Systemic / blood*
  • Scleroderma, Systemic / diagnosis*
  • Sensitivity and Specificity
  • Severity of Illness Index

Substances

  • Autoantibodies
  • Biomarkers
  • Hemoglobins