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Abstract Number: 817

Current Diagnostic Delays in Vasculitis and Factors Associated with Time to Diagnosis

Antoine G. Sreih1, Dianne Shaw2, Kalen Young3, Cristina Burroughs4, Joyce Kullman5, Kirthi Machireddy6, Carol A. McAlear1, George Casey3 and Peter A. Merkel7, 1Division of Rheumatology, University of Pennsylvania; Perelman School of Medicine, Philadelphia, PA, 2University of North Carolina, Chapel Hill, NC, 3Vasculitis Foundation, Kansas city, MO, 4University of South Florida, Tampa, FL, 5Vasculitis, Vasculitis Foundation, Kansas City, MO, 6University of Pennsylvania; Perelman School of Medicine, Philadelphia, PA, 7Division of Rheumatology, Division of Rheumatology, University of Pennsylvania, Philadelphia, PA

Meeting: 2018 ACR/ARHP Annual Meeting

Keywords: Clinical research, diagnosis, healthcare system and vasculitis

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Session Information

Date: Sunday, October 21, 2018

Title: Vasculitis Poster I: Non-ANCA-Associated and Related Disorders

Session Type: ACR Poster Session A

Session Time: 9:00AM-11:00AM

   Background/Purpose: Despite recent advancements in the evaluation and management of vasculitis, patients with vasculitis continue to encounter diagnostic delays. These delays are often associated with substantial morbidity and mortality. This study sought to describe the diagnostic journey of patients with vasculitis from the onset of symptoms to diagnosis, and identify factors associated with time to diagnosis.

   Methods: Patients enrolled in an online registry completed a two-stage mixed-methods study: Stage 1: Survey consisting of open-ended questions about patients’ diagnostic journeys and the perceived factors associated with rapid or delayed diagnosis; and Stage 2: Survey with specific questions based on data from Stage 1 and additional investigator-identified factors.  Multivariate linear regression analysis was used to identify factors associated with time to diagnosis. Factors were divided into patient-related factors and healthcare-related factors. Patient Research Partners participated in idea conception, study design, and patient-engagement.

   Results: 375 patients with vasculitis participated in Stage 1 and 456 patients participated in Stage 2. The median age (IQR) was 59 (24). 72% were females and 94% Caucasians. The majority (74%) of patients sought medical attention within 3 months of their symptoms and 85% were seen by a healthcare provider within 3 months. The mean time to diagnosis of vasculitis (± SD) was 3.3 ± 7 years with IgA-vasculitis having the shortest time (0.3 ± 0.5 years) and Behçet’s disease having the longest time (20.4 ± 15 years) (Table 1). 313/456 (73%) of patients were misdiagnosed initially (33% were diagnosed with infections, 29% with an autoimmune disease, and 11% with a “fake” illness). The median (IQR) number of misdiagnoses was 5 (3). 40% of diagnoses were made in a hospital setting (35% inpatient and 5% emergency room [ER]). Only 2% of diagnoses were made at a specialized vasculitis center. More than half of patients had at least 1 ER visit prior to diagnosis, with 5% of patients having > 10 ER visits. Unemployment, time to travel to a medical center greater than 1 hour, being initially misdiagnosed, and delays in seeing a specialist were all associated with longer times to diagnosis (Table 1). 373/456 (82%) of patients reported that a delayed diagnosis had negative consequences on their health: 55% of patients thought it made their condition worse, 16% lost their job, and 11% became disabled.

   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. Future efforts should focus on mechanisms to address modifiable factors and shorten delays in diagnosis for patients with new-onset vasculitis.

  

 

Table 1. Time to diagnosis and factors associated with time to diagnosis of vasculitis

 

Time to diagnosis

Disease type

Number of patients

Mean time to diagnosis
(years
± SD)

Behçet’s disease

17

20.4 ± 15

Central nervous system vasculitis

16

0.6 ± 1

Cryoglobulinemic vasculitis

15

2.6 ± 5

Eosinophilic granulomatosis with polyangiitis

60

5.0 ± 8

Giant cell arteritis

23

1.7 ± 6

Granulomatosis with polyangiitis

162

1.7 ± 3

IgA-vasculitis

18

0.3 ± 0

Microscopic polyangiitis

48

2.5 ± 5

Polyarteritis nodosa

21

1.5 ± 2

Takayasu’s arteritis

24

2.0 ± 4

Urticarial vasculitis

13

5.6 ± 7

Other

39

7.3 ± 16

Factors associated with time to diagnosis

Factors

Coefficient
(95% CI)

p-value

Patient-related factors

 

 

Female gender

-1.5 (-4.0 – 0.5)

0.15

Caucasian race

-1.5 (-6.0 – 3.0)

0.54

Single or Divorced or Widow(er)

1.1 (-1.0 – 3.2)

0.29

Employed

-2.4 (-4.0 – -0.4)

0.02

Household income >$50,000/year

-1.5 (-4.2 – 0.6)

0.18

Patient location (North America)

1.2 (-2.0 – 3.8)

0.76

Charlson score >1

-1.5 (-3.9 – 0.4)

0.12

Time to travel to healthcare site >1 hour

2.6 (0.6 – 4.5)

<0.01

 

 

 

Healthcare-related factors

 

 

Specialist involved initially

-1.3 (-3.1 – 0.6)

0.18

Lab studies ordered initially

0.2 (-1.6 – 2.0)

0.80

Misdiagnosis

2.3 (0.1 – 4.5)

0.03

Referral delays due to insurance

-0.3 (-2.5 – 2.5)

0.98

Time to see a specialist > 1 month

2.4 (0.3 – 4.6)

0.03

A positive coefficient indicates a longer time to diagnosis and a negative one indicates a shorter time to diagnosis. CI: confidence interval; $ are US dollars.

 


Disclosure: A. G. Sreih, None; D. Shaw, None; K. Young, None; C. Burroughs, None; J. Kullman, None; K. Machireddy, None; C. A. McAlear, None; G. Casey, None; P. A. Merkel, None.

To cite this abstract in AMA style:

Sreih AG, Shaw D, Young K, Burroughs C, Kullman J, Machireddy K, McAlear CA, Casey G, Merkel PA. Current Diagnostic Delays in Vasculitis and Factors Associated with Time to Diagnosis [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/current-diagnostic-delays-in-vasculitis-and-factors-associated-with-time-to-diagnosis/. Accessed .
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