| Literature DB >> 33163866 |
Maria Karampeli1, Konstantinos Thomas2, Sofia Flouda3, Aikaterina Chavatza3, Dionisios Nikolopoulos3, Antigone Pieta3, Dimitrios Tseronis3, Michail Aggelakos3, Dimitra Kassara3, Vasiliki Tzavara1, Pelagia Katsimbri3, Dimitrios Boumpas3, Theofanis Karageorgas3.
Abstract
OBJECTIVES: Interstitial pneumonia with autoimmune features (IPAF) refers to patients with interstitial lung disease and autoimmune features not fulfilling the classification criteria for a specific connective tissue disease. We sought to study the characteristics, disease progression, response to treatment and complications of patients with IPAF in 1-year follow-up period.Entities:
Keywords: Interstitial lung diseases; connective tissue diseases; interstitial pneumonia with autoimmune features; pulmonary fibrosis
Year: 2020 PMID: 33163866 PMCID: PMC7641027 DOI: 10.31138/mjr.31.3.330
Source DB: PubMed Journal: Mediterr J Rheumatol ISSN: 2529-198X
IPAF-related features.
| Mechanic’s hands | 5 (12.8%) |
| Digital ulcers | 1 (2.6%) |
| Arthritis or polyarticular morning stiffness ≥60min. | 32 (82.1%) |
| Palmar telangiectasias | 1 (2.6%) |
| Raynaud’s phenomenon | 10 (25.6%) |
| Digital oedema | 1 (2.6%) |
| Gottron’s sign | 4 (10.3%) |
| Sicca symptoms | 14 (35.9%) |
| Hair loss | 8 (20.5%) |
| Rash | 21 (53.8%) |
| Photosensitivity | 5 (12.8%) |
| Fever | 7 (18.4%) |
| Mouth ulcers | 1 (2.6%) |
| ACPA | 2 (5.1%) |
| RF (≥ 2 x upper limit of normal) | 3 (7.7%) |
| ANA >1/320 | 23 (59%) |
| Anti-Ro/SSA | 8 (20.5%) |
| Anti-La/SSB | 2 (5.1%) |
| Anti-Sm | 0 |
| Anti-RNP | 1 (2.6%) |
| Anti-Jo1 | 3 (7.7%) |
| Other autoantibodies | 6 (15.4%) |
| NSIP | 24 (61.5%) |
| OP | 2 (5.1%) |
| NSIP-OP overlap | 2 (5.1%) |
| LIP | 1 (2.6%) |
| UIP | 7 (18%) |
| NSIP and UIP | 3 (7.7%) |
Figure 2.PFTs at baseline, 6 and 12 month of follow-up period.
PFTs: Pulmonary Function Tests, FVC: Forced vital Capacity, TLC: Total Lung Capacity, DLCO: Diffusing capacity for carbon monoxide.
Risk factors associated with infectious complications in our cohort.
| Male gender, n (%) | 2 (18.2%) | 10 (35.7%) | 0.28 |
| Age >65 years, n (%) | 6 (54.5%) | 13 (46.4%) | 0.65 |
| BMI>30, n (%) | 1 (9.1%) | 2 (7.1%) | 0.84 |
| Diabetes Mellitus, n (%) | 0 (0%) | 11 (39.3%) | 0.01 |
| Coronary Artery Disease, n (%) | 1 (9.1%) | 3 (10.7%) | 0.88 |
| Malignancy, n (%) | 1(9.1%) | 4 (14.3%) | 0.66 |
| Radiologic pattern, n (%) | |||
| UIP | 0 (%) | 10 (35.7%) | |
| Non-UIP | 11 (100%) | 18 (64.3%) | |
| LTOT, n (%) | 1 (9.1%) | 1 (3.7%) | 0.5 |
| Initial Prednisolone dose (mg/d), mean (SD) | 20 (±16.4) | 26.3 (±18.5) | 0.3 |
| Baseline DLCO, mean (SD) | 54.2% (±18.1) | 46.7% (±14.9) | 0.2 |
| Baseline FVC, mean (SD) | 72.6% (±15.83) | 81.4% (±19.5) | 0.18 |
Patients’ baseline characteristics.
| Mean age at diagnosis (±SD) | 63.2 (± 11) |
| Female Gender | 27 (69.2%) |
| Active smoker | 6 (15.4%) |
| Obesity | 3 (7.7%) |
| COPD / Asthma | 3 (5.7%) |
| Arterial Hypertension | 18 (46.2%) |
| Diabetes Mellitus | 11 (28.2%) |
| Dyslipidaemia | 12 (30.8%) |
| Coronary Artery Disease | 4 (10.3%) |
| Cerebrovascular Accident | 0 |
| Osteoporosis | 12 (30.8%) |
| Thyroid disease | 16 (41%) |
| Malignancy | 5 (12.8%) |
| HCV/HBV infection | 1 (2.6%) |
| Tuberculosis | 1 (2.6%) |
| Gastro-oesophageal Reflux Disease | 2 (5.1%) |