Prognostic value of automated assessment of interstitial lung disease on CT in systemic sclerosis.

OBJECTIVE: Stratifying the risk of death in SSc-related interstitial lung disease (SSc-ILD) is a challenging issue. The extent of lung fibrosis on high-resolution CT (HRCT) is often assessed by a visual semiquantitative method that lacks reliability. We aimed to assess the potential prognostic value of a deep-learning-based algorithm enabling automated quantification of ILD on HRCT in patients with SSc. METHODS: We correlated the extent of ILD with the occurrence of death during follow-up, and evaluated the additional value of ILD extent in predicting death based on a prognostic model including well-known risk factors in SSc. RESULTS: We included 318 patients with SSc, among whom 196 had ILD; the median follow-up was 94 months (interquartile range 73-111). The mortality rate was 1.6% at 2 years and 26.3% at 10 years. For each 1% increase in the baseline ILD extent (up to 30% of the lung), the risk of death at 10 years was increased by 4% (hazard ratio 1.04, 95% CI 1.01, 1.07, P = 0.004). We constructed a risk prediction model that showed good discrimination for 10-year mortality (c index 0.789). Adding the automated quantification of ILD significantly improved the model for 10-year survival prediction (P = 0.007). Its discrimination was only marginally improved, but it improved prediction of 2-year mortality (difference in time-dependent area under the curve 0.043, 95% CI 0.002, 0.084, P = 0.040). CONCLUSION: The deep-learning-based, computer-aided quantification of ILD extent on HRCT provides an effective tool for risk stratification in SSc. It might help identify patients at short-term risk of death.

Anti-programmed death ligand 1 immunotherapies in cancer patients with pre-existing systemic sclerosis: A postmarketed phase IV safety assessment study.

OBJECTIVES: Cancer patients with pre-existing autoimmune disease, such as systemic sclerosis (SSc), are excluded from clinical trials, so the data on tolerability and efficacy of immune checkpoint inhibitors in these patients are limited. This study investigated the tolerability and efficacy of anti-programmed death ligand 1 (PD (L)1) immunotherapies in patients with pre-existing SSc. METHODS: Scleronco-01 was a multicentre, nationwide, open-label, phase IV observational study, from 2019 to 2021. RESULTS: Seventeen SSc patients receiving treatment for lung carcinoma (n = 13, 77%), head and neck cancer (n = 2, 12%), melanoma (n = 1, 6%), and colorectal carcinoma (n = 1, 6%) were included. The median (interquartile range) patient age was 60 (34-82) years. Fifteen (88%) patients received anti-PD1 (nivolumab and pembrolizumab) and two (12%) anti-PD-L1 (durvalumab). The median follow-up duration was 12 (range, 2-38) months. Four patients (24%) experienced flare-up of SSc symptoms. Ten patients (59%) developed an immune-related adverse event (grade I-II in 11 patients [65%], grade III-IV in one [6%]) without grade V. The overall response rate was 41% (7/17 patients). The median overall survival was 15.8 (95% confidence interval: 7.3 to not reached) months. CONCLUSION: Anti-PD1 or PD-L1 immunotherapies are suitable options for cancer patients with pre-existing SSc. Longer follow-up periods are required for long-term safety analyses.

Patients' views and needs about systemic sclerosis and its management: a qualitative interview study.

BACKGROUND: Systemic sclerosis (SSc) is a chronic connective-tissue disease responsible for reduced life expectancy, disability and a decreased quality of life. In order to optimize patients-physicians relationship and care strategy we aimed to survey views of patients on SSc and its management to reveal potential hurdles and improve health care strategies. METHODS: A qualitative study combined semi-structured interviews, focus groups, and a direct observation of an information session was performed between November 2008 and January 2009. RESULTS: Twenty-five patients with SSc were included. They encounter difficulties to have a clear representation of their disease. Physical, psychological, and social repercussions of SSc may lead to a psychological distress and different coping strategies, which widely differ among interviewed patients. Patients' views on their therapeutic journey and the management of their disease highlighted strong expectations about patient-physician relationship. These expectations were numerous, complex and sometimes ambivalent. Patients expected physicians to be human and attentive but also involved in research in the field and to provide psychological and affective support to help them to accept the uncertainty of disease evolution and lack of curative treatment. They also expected more individualized management, improvements in diagnosis and follow-up organization, more efforts in education and information, comprehensive behaviors and support from working colleagues and relatives, and increased funding from the health care system. CONCLUSIONS: Our results suggest that SSc management could be optimized, particularly with more attention to the patient-practitioner relationship. Patient profiles should be more precisely defined in terms of coping strategies and treatment preferences to propose more individualized options.