Chest wall muscle area, ventilatory efficiency and exercise capacity in systemic sclerosis.
Nicola GaleaAmalia ColalilloSerena PaciulliChiara PellicanoMartina GiannettiEmanuele PossenteGregorino PaoneAntonella RomanielloMaurizio MuscaritoliEdoardo RosatoAntonietta GigantePublished in: Internal and emergency medicine (2024)
To investigate the potential contribution of chest wall muscle area (CWMA) to the ventilatory efficiency and exercise capacity in patients with Systemic Sclerosis (SSc) without interstitial lung disease (ILD). Forty-four consecutive SSc patients [F = 37, median age 53.5 years (IQR 43.5-58)] were examined using chest high-resolution computed tomography (HRCT), pulmonary function tests and cardiopulmonary exercise testing (CPET). The CWMA was evaluated at the level of the ninth thoracic vertebra on CT images by two independent evaluators blinded to the patient information. CPET parameters analyzed were maximum oxygen uptake (VO2 max) and VO2 at anaerobic threshold (VO 2 @AT); minute ventilation (VE); maximum tidal volume (VT). A statistically significant positive correlation was found between CWMA and maximum workload (r = 0.470, p < 0.01), VO2 max ml/min (r = 0.380, p < 0.01), VO2@AT (r = 0.343, p < 0.05), VE (r = 0.308, p < 0.05), VT (r = 0.410, p < 0.01) and VO2/heart rate (r = 0.399, p < 0.01). In multiple regression analysis, VO2 max (ml/min) was significantly associated with CWMA [β coefficient = 5.226 (95% CI 2.824, 7.628); p < 0.001], diffusing capacity for carbon monoxide (DLco) [β coefficient = 6.749 (95% CI 1.460, 12.039); p < 0.05] and body mass index (BMI) [β coefficient = 41.481 (95% CI 8.802, 74.161); p < 0.05]. In multiple regression analysis, maximum workload was significantly associated with CWMA [β coefficient = 0.490 (95% CI 0.289, 0.691); p < 0.001], DLco [β coefficient = 0.645 (95% CI 0.202, 1.088); p < 0.01] and BMI [β coefficient = 3.747 (95% CI 1.013, 6.842); p < 0.01]. In SSc-patients without ILD, CWMA represents an important variable in exercise capacity and can be evaluated by the mediastinal window available in the HRCT images required for lung disease staging.
Keyphrases
- interstitial lung disease
- systemic sclerosis
- body mass index
- computed tomography
- heart rate
- end stage renal disease
- rheumatoid arthritis
- high intensity
- diffusion weighted imaging
- idiopathic pulmonary fibrosis
- physical activity
- newly diagnosed
- high resolution
- ejection fraction
- chronic kidney disease
- resistance training
- lymph node
- deep learning
- skeletal muscle
- magnetic resonance imaging
- positron emission tomography
- weight gain
- convolutional neural network
- spinal cord
- image quality
- spinal cord injury
- healthcare
- optical coherence tomography
- contrast enhanced
- randomized controlled trial
- patient reported outcomes
- mechanical ventilation
- risk assessment
- extracorporeal membrane oxygenation
- wastewater treatment
- heavy metals
- mass spectrometry
- case report
- social media
- body composition
- dual energy