Mapping and predicting mortality from systemic sclerosis

Ann Rheum Dis. 2017 Nov;76(11):1897-1905. doi: 10.1136/annrheumdis-2017-211448. Epub 2017 Aug 23.

Abstract

Objectives: To determine the causes of death and risk factors in systemic sclerosis (SSc).

Methods: Between 2000 and 2011, we examined the death certificates of all French patients with SSc to determine causes of death. Then we examined causes of death and developed a score associated with all-cause mortality from the international European Scleroderma Trials and Research (EUSTAR) database. Candidate prognostic factors were tested by Cox proportional hazards regression model by single variable analysis, followed by a multiple variable model stratified by centres. The bootstrapping technique was used for internal validation.

Results: We identified 2719 French certificates of deaths related to SSc, mainly from cardiac (31%) and respiratory (18%) causes, and an increase in SSc-specific mortality over time. Over a median follow-up of 2.3 years, 1072 (9.6%) of 11 193 patients from the EUSTAR sample died, from cardiac disease in 27% and respiratory causes in 17%. By multiple variable analysis, a risk score was developed, which accurately predicted the 3-year mortality, with an area under the curve of 0.82. The 3-year survival of patients in the upper quartile was 53%, in contrast with 98% in the first quartile.

Conclusion: Combining two complementary and detailed databases enabled the collection of an unprecedented 3700 deaths, revealing the major contribution of the cardiopulmonary system to SSc mortality. We also developed a robust score to risk-stratify these patients and estimate their 3-year survival. With the emergence of new therapies, these important observations should help caregivers plan and refine the monitoring and management to prolong these patients' survival.

Keywords: cardiovascular disease; epidemiology; pulmonary fibrosis; systemic sclerosis.

MeSH terms

  • Aged
  • Cause of Death
  • Databases, Factual
  • Death Certificates
  • Female
  • France
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • Risk Factors
  • Scleroderma, Systemic / mortality*
  • Time Factors