Cost savings with a new screening algorithm for pulmonary arterial hypertension in systemic sclerosis.

BACKGROUND: Screening for pulmonary arterial hypertension (PAH) in systemic sclerosis (SSc) is now standard care in this disease. The existing Australian Scleroderma Interest Group algorithm (ASIGSTANDARD ) is based on transthoracic echocardiography (TTE) and pulmonary function tests (PFT). Recently, ASIG has derived and validated a new screening algorithm (ASIGPROPOSED ) that incorporates N-terminal pro-B-type natriuretic peptide level together with PFT in order to decrease reliance on TTE, which has some limitations. Right heart catheterisation (RHC) remains the gold standard for the diagnosis of PAH in patients who screen 'positive'. AIM: To compare the cost of PAH screening in SSc with ASIGSTANDARD and ASIGPROPOSED algorithms. METHODS: We applied both ASIGSTANDARD and ASIGPROPOSED algorithms to 643 screen-naïve SSc patients from the Australian Scleroderma Cohort Study (ASCS), assuming a PAH prevalence of 10%. We compared the costs of screening, the number of TTE required and both the total number of RHC required and the number of RHC needed to diagnose one case of PAH, and costs, according to each algorithm. We then extrapolated the costs to the estimated total Australian SSc population. RESULTS: In screen-naïve patients from the ASCS, ASIGPROPOSED resulted in 64% fewer TTE and 10% fewer RHC compared with ASIGSTANDARD , with $1936 (15%) saved for each case of PAH diagnosed. When the costs were extrapolated to the entire Australian SSc population, there was an estimated screening cost saving of $946 000 per annum with ASIGPROPOSED , with a cost saving of $851 400 in each subsequent year of screening. CONCLUSIONS: ASIGPROPOSED substantially reduces the number of TTE and RHC required and results in substantial cost savings in SSc-PAH screening compared with ASIGSTANDARD .

The impact of gastroesophageal reflux disease and its treatment on interstitial lung disease outcomes.

BACKGROUND: To determine the relationship between gastroesophageal reflux disease (GORD) and its treatment and interstitial lung disease in patients with systemic sclerosis (SSc). METHODS: SSc patients from the Australian Scleroderma Cohort Study (ASCS) were included. GORD was defined as self-reported GORD symptoms, therapy with a proton pump inhibitor (PPI) or histamine 2 receptor antagonist (H2RA) and/or the presence of reflux oesophagitis diagnosed endoscopically. The impact of GORD and its treatment on ILD features (including severity and time to ILD development) and survival was evaluated. RESULTS: GORD was a common manifestation affecting 1539/1632 (94%) of SSc patients. GORD affected 450/469 (96%) of those with SSc-ILD cohort. In SSc-ILD, there was no relationship between the presence of GORD or its treatment and time to ILD development or ILD severity. However, GORD treatment was associated with improved survival in those with ILD (p = 0.002). Combination therapy with both a PPI and a H2RA was associated with a greater survival benefit than single agent therapy with PPI alone (HR 0.3 vs 0.5 p < 0.050 respectively). CONCLUSION: GORD is a common SSc disease manifestation. While the presence or treatment of GORD does not influence the development or severity of ILD, aggressive GORD treatment, in particular with a combination of PPI and H2RA, is associated with improved survival in those with SSc-ILD.

Prevalence and outcomes of gastrointestinal manifestations in an Australian Scleroderma cohort.

OBJECTIVES: The gastrointestinal tract (GIT) is the most commonly affected internal organ in systemic sclerosis (SSc). We sought to determine the prevalence and impact of GIT symptoms on survival and patient-reported outcomes. METHODS: 907 consecutive patients from the Australian Scleroderma Cohort Study (ASCS) who had prospectively completed the University of California Los Angeles Scleroderma Clinical Trials Consortium Gastrointestinal Tract 2.0 questionnaire (UCLA GIT) between 2015 and 2021 were included. The association between UCLA GIT scores and physical function (SHAQ), QoL (SF-36), mood (PROMIS anxiety and depression domains), fatigue (FACIT-fatigue score) and employment was investigated using multivariable population-averaged panel models using Generalized Estimating Equations (GEE). Kaplan-Meier curves and multivariable Cox proportional hazard regression model were used to evaluate survival according to total UCLA GIT scores. RESULTS: GIT symptoms were reported in 87% of participants with 46-52% reporting moderate to very severe symptoms of reflux, distension, diarrhoea and constipation. Higher total UCLA GIT scores were associated with worse QoL, physical function, fatigue, anxiety and depression (p<0.001). In multivariable GEE analysis, moderate and severe to very severe total scores, reflux and distension scores were associated with worse physical function, QoL, fatigue, anxiety and depression compared to those with mild scores (p<0.05). Patients with severe total scores and diarrhoea scores were more likely to be unemployed compared to those with mild scores (p<0.05). UCLA GIT total scores were not independently associated with mortality in our cohort. CONCLUSION: GIT manifestations are common in SSc and negatively impact QoL, physical function and employment but are not directly associated with increased mortality.

Systemic sclerosis: Advances towards stratified medicine.

Epidemiological studies reporting demographic, clinical and serological factors predictive of various outcomes in systemic sclerosis (SSc) range from the prediction of mortality to the development and progression of disease manifestations. However, predicting the disease trajectory in the individual patient is a challenging but important step towards a stratified approach to disease management. Recent technological advances provide the opportunity for new subgroupings of disease based on risk stratification, through the systematic analysis of high-dimensional clinical data combined with genes, their transcription products and their corresponding translated proteins. In addition, these variables offer a rich vein of research to identify non-invasive biomarkers for predicting organ involvement and to assess disease activity and response to therapy. Selection of patients with a clinical phenotype or molecular signature relevant to the therapy under study combined with recent efforts to standardise outcome measures, show promise for improving clinical trial design and the identification of effective targeted therapies.