Lung ultrasound compared to computed tomography detection and automated quantification of systemic sclerosis-associated interstitial lung disease: preliminary study.

Lung ultrasound (LUS) is a promising tool for detecting systemic sclerosis-associated interstitial lung disease (SSc-ILD). Currently, consensus on the best LUS findings and execution technique is lacking. OBJECTIVES: To compare qualitative and quantitative assessment of B-lines and pleural line (PL) alterations in SSc-ILD with chest computed tomography (CT) analysis. METHODS: During 2021-2022, consecutive SSc patients according to 2013 ACR/EULAR classification criteria underwent pulmonary functional tests (PFTs). On the same day, if a CT was performed over a ± 6 months period, LUS was performed by two certified blinded operators using a 14-scans method. The ≥10 B-lines cut-off proposed by Tardella and the Fairchild's PL criteria fulfilment were selected as qualitative findings. As quantitative assessment, total B-lines number and the quantitative PL score adapted from the semi-quantitative Pinal-Fernandez score were collected. CT scans were evaluated by two thoracic radiologists for ILD presence, with further processing by automated texture analysis software (qCT). RESULTS: 29 SSc patients were enrolled. Both qualitative LUS scores were significantly associated to ILD presence on CT, with Fairchild's PL criteria resulting in slightly more accuracy. Results were confirmed on multivariate analysis. All qualitative and quantitative LUS findings were found to be significantly associated with qCT ILD extension and radiological abnormalities. Mid and basal PL quantitative score correlated with mid and basal qCT ILD extents. Both B-lines and PL alterations differently correlated with PFTs and clinical variables. CONCLUSION: This preliminary study suggests the utility of a comprehensive LUS assessment for SSc-ILD detection compared with CT and qCT.

Psychological Fragility in an Italian Cohort of Systemic Sclerosis Patients During COVID-19 Pandemic Category: Short Communication.

Objective: This work aims to evaluate the prevalence of anxiety and COVID-19-related fear in systemic sclerosis (SSc) patients during the second and third waves of the SARS-CoV-2 pandemic in Italy and their possible associated factors. Methods: A cohort study was carried out on 114 SSc patients referred to our Scleroderma Clinic, matched for sex and age. Twenty-eight of them had missed scheduled examinations during the October 2020-March 2021 period and 86 has attended regular outpatient visits during the same period. Both groups were administered (by telephone for cases and in-person for controls) the Generalized Anxiety Disorder Scale-7 (GAD-7) questionnaire and the validated on SSc patients COVID-19 Fears Questionnaire for Chronic Medical Conditions (COVID-19 Fears). Concurrent factors related to higher scores were investigated in patients who did not have an outpatient follow-up. Results: The missing group had significantly more patients scoring ≥8 on the GAD-7 questionnaire [22 (78.6%) vs 16 (18.6%), p < 0.0001] and significantly higher scores on the COVID-19 Fears questionnaire (median [quartiles] 31.5 [26.25;37.25] vs 20 [13.75;28], p < 0.0001) than the attending group. Multivariate analysis performed on the missing patients group showed a significant association of the lack of work and ongoing therapy for anxiety/depression with GAD-7 (p = 0.0275 and p = 0.0188) and COVID-19 Fears score (p = 0.0016 and p = 0.0099). Conclusion: Anxiety disorder and COVID-19-related fear were greater in SSc patients who missed regular follow-ups and are associated with a lack of work activity. These findings aim to identify a subgroup deserving attention regarding risk factors for missed periodic controls.