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SAT0343 Screening of pulmonary arterial hypertension in patients with systemic sclerosis using detect algorithm – validation in the cohort of japanese single center
  1. H Yasuoka1,
  2. Y Shirai2,
  3. Y Tamura3,
  4. T Takeuchi1,
  5. M Kuwana2
  1. 1Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine
  2. 2Departmenrt of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine
  3. 3International University of Health and Welfare Mita Hospital, Tokyo, Japan

Abstract

Background Pulmonary arterial hypertension (PAH) complicated with systemic sclerosis (SSc) has the worst prognosis in PAH associated with other connective tissue diseases (1) and is one of leading cause of death in patients with SSc (2). To improve prognosis in SSc patients, earlier detection and diagnosis of PAH by annual screening is recommended even in asymptomatic patients (3). To effectively detect PAH in patients with SSc at earlier phase, DETECT algorithm is reported as a good tool to identify candidates who need right heart catheterization (RHC), with high sensitivity (4). However, its usefulness has not been validated in Japanese cohorts.

Objectives To validate the effectiveness of DETECT algorithm in the Japanese single center cohort.

Methods Patients with SSc who visited Keio University Hospital between 2005 and 2016 were included in the study. Patients over 18 years old, disease duration more than 3 years, and DLCO predicted less than 60% were selected and clinical information was retrospectively collected from records. The sensitivity, specificity, and negative and positive predictive values of the algorithm based on the result of RHC evaluation were calculated in a cohort of PAH patients and non-PAH patients, in whom RHC data were available. Validation with patients with data minimally-required for algorithm were also examined.

Results Three hundred four cases were visited our hospital during from 2005 to 2016. Patients who fulfilled criteria and had data minimally-required for algorithm were 126 cases. Of 126 patients, 50 were examined RHC evaluation and patients diagnosed as pulmonary hypertension were 26 (21%) and 21 (15%) were PAH. When a cohort of PAH patients and non-PAH patients with RHC data was applied to DETECT algorithm, referral rate to RHC evaluation was 78%, missed diagnosis of PAH was 0%. Sensitivity/specificity for detecting PAH patients were 100%/42%, and positive/negative predictive values were 60%/100%, respectively. Evaluation of 126 patients with data minimally-required for algorithm was also examined. Referral rate to RHC evaluation was 43%, missed diagnosis of PAH was 0%, and sensitivity/specificity and positive/negative predictive values for detecting PAH patients were 100%/72%, 43%/100%, respectively. However, there was a patient who was initially excluded at Step 1, but developed PAH one year later.

Conclusions The DETECT algorithm was reassured as a good tool to effectively screening tool for PAH in SSc patients. However, we have to keep in mind that unnecessity of RHC referral judged by this algorithm does not guarantee the patient to be free from future development of PAH.

References

  1. Condliffe R et al. Am J Respir Crit Care Med 179:151–157, 2009.

  2. Steen VD et al. Ann Rheum Dis 66:940–944, 2007.

  3. Galiè N et al. Eur Heart J 37:67–119, 2016.

  4. Coghlan JG et al. Ann Rheum Dis 73:1340–1349, 2014.

References

Disclosure of Interest None declared

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