Nailfold capillaroscopy findings of interstitial pneumonia with autoimmune features

Korean J Intern Med. 2023 Nov;38(6):903-911. doi: 10.3904/kjim.2022.358. Epub 2023 Jul 25.

Abstract

Background/aims: We evaluated nailfold capillaroscopy (NFC) of interstitial pneumonia with autoimmune features (IPAF) and compared it with that of patients with connective tissue disease-interstitial lung disease (CTD-ILD) and idiopathic interstitial pneumonia (IIP).

Methods: Patients with newly diagnosed as ILD were evaluated using NFC. Baseline demographic, clinical, serological, and high-resolution CT findings were collected. NFC was semi-quantitatively scored with six domains ranging from 0 to 18. In addition, the overall patterns (scleroderma/non-scleroderma patterns) were determined.

Results: A total of 81 patients (31 with CTD-ILD, 18 with IPAF, and 32 with IIP) were included. The non-specific interstitial pneumonia pattern was the most common ILD pattern in the CTD-ILD and IPAF groups, whereas the usual interstitial pneumonia pattern was the most common in the IIP group. The semi-quantitative score of the CTD-ILD group was higher than that of the IPAF or IIP groups (5.8 vs 4.2 vs 3.0, p < 0.001, respectively). Giant capillaries and haemorrhages were more frequently present in the CTD-ILD and IPAF groups than in the IIP group. A scleroderma pattern was present in 27.8% of the IPAF group, whereas none of the IIP patients showed a scleroderma pattern.

Conclusion: NFC findings may be useful in classifying patients with ILD into CTD-ILD/IPAF/IIP.

Keywords: Connective tissue disease; Idiopathic interstitial pneumonia; Interstitial pneumonia with autoimmune feature; Nailfold capillary.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Connective Tissue Diseases* / diagnosis
  • Connective Tissue Diseases* / diagnostic imaging
  • Humans
  • Idiopathic Interstitial Pneumonias* / diagnosis
  • Idiopathic Pulmonary Fibrosis*
  • Lung Diseases, Interstitial* / diagnostic imaging
  • Microscopic Angioscopy
  • Tomography, X-Ray Computed

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