Orphanet Journal of Rare Diseases (Apr 2021)

Diagnostic delays in vasculitis and factors associated with time to diagnosis

  • Antoine G. Sreih,
  • Keri Cronin,
  • Dianne G. Shaw,
  • Kalen Young,
  • Cristina Burroughs,
  • Joyce Kullman,
  • Kirthi Machireddy,
  • Carol A. McAlear,
  • Peter A. Merkel,
  • for the Vasculitis Patient-Powered Research Network

DOI
https://doi.org/10.1186/s13023-021-01794-5
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 8

Abstract

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Abstract Background Patients with vasculitis, a set of rare diseases, encounter delays in obtaining an accurate diagnosis which can lead to substantial morbidity and increased mortality. This study sought to describe the diagnostic journey of patients with vasculitis and identify factors associated with time to diagnosis. Methods Patients with vasculitis enrolled in an online registry completed a two-stage study: Stage 1: survey of open-ended questions about patients’ diagnostic journeys and perceived factors associated with rapid or delayed diagnosis; Stage 2: survey with specific questions based on data from Stage 1 and additional investigator-identified factors. Results 375 patients with vasculitis participated in Stage 1; 456 patients participated in Stage 2. 85% of patients were seen by a healthcare provider within 3 months of the onset of symptoms. The median time to diagnosis of vasculitis was 7 months. 313/456 (73%) of patients were misdiagnosed initially. 40% of diagnoses were made in a hospital setting; 2% of diagnoses were made at a specialized vasculitis center. 60% of patients had at least 1 visit to an emergency room prior to diagnosis. Unemployment, time to travel to a medical center > 1 h, initial misdiagnosis, and delays in seeing a specialist were all associated with longer times to diagnosis. 373/456 (82%) of patients reported that a delayed diagnosis had negative consequences on their health. Conclusion Patients with vasculitis encounter substantial delays in achieving an accurate diagnosis and these delays are associated with negative health consequences. Both patient-related factors and healthcare-related factors are associated with diagnostic delays.

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