Background: Improved therapeutic strategies for AAV have transformed acute and life-threatening diseases into chronic ones, responsible for marked morbidity that could impact employment. The aim of our study is to use the WPAI: GH questionnaire in order to prospectively evaluate the impact of AAV on work ability: 1) to identify a correlation between BVAS and WPAI at diagnosis and during the course of the illness, and between VDI and WPAI at last follow-up and during disease history. 2) To evaluate whether work ability is influenced by sex, age at diagnosis, ANCA specificity, organ involvement at onset, and revised Five Factor Score(rFFS).

Methods: Patients with diagnosis of GPA, MPA or EGPA employed at the time of first contact were included. WPAI: GH evaluation at diagnosis and at last follow-up must have been available. STATISTICAL ANALYSIS: Spearman, Wilcoxon, Mann-Whitney and Pearson test were used (p < 0, 05).

Results: Patient characteristics are reported in Table1.1) No correlation emerged between BVAS and inability percentages at onset, or between the respective Δ (first-last contact); moreover, no correlation was evidenced between VDI and disability percentages at last follow-up, or between VDI at last follow-up and Δ disability percentages.2) No statistically significant correlation emerged between WPAI impairment rates and each evaluated parameter: sex, diagnosis, age at onset, PR3 or MPO specificity, organ involvement (constitutional symptoms, ENT, eye, lung, renal, gastrointestinal, cardiac, neurological or skin involvement) and rFFS(p > 0.05). From first contact to latest available follow-up, we documented a significant decrease of BVAS (p < 0.0001), and of each of 4 impairment percentages in WPAI: GH (p = 0.001; p = 0.001; p = 0.003; p < 0.0001, respectively); however, notwithstanding this common trend for improvement, no correlation emerged between them.

Conclusion: Given the scarce predictivity of commonly used clinimetric indexes (BVAS, VDI, rFFS), evaluation of work impairment in patients with AAV requires dedicated questionnaires. Work ability should be considered as a separate outcome measure in clinical practice and in randomized controlled trials. We did not identify any statistically significant correlation between sex, ANCA specificity, organ involvement pattern, and either work disability or common activities of daily living, although in the context of a common trend towards improvement of each single parameter during the course of disease. Workability therefore appears to be influenced by different parameters that deserve further study.

Disclosures: None

Abstract 234 Table 1:
General features
Sex, n° (%) male20 (47 .6)
    Age, average ± SD, years48.1±11.5
    ANCA positive, n° (%)42 (100)
        PR3, n° (%)19 (45.2)
        MPO, n° (%)13 (30.9)
        No specificity, n° (%)10 (23.8)
    Diagnosis, n° (%)
        GPA21 (50)
        EGPA16 (38. 1)
        MPA5 (11.9)
    Organ involvement, n° (%)
        General symptoms28 (66.7)
        ENT24(57.1)
        Chest18 (42.9)
        Peripheral Nervous System16 (38.1)
        Skin11 (26.2)
        Kidney7 (1 6.7)
        Eye4 (9.5)
        Abdominal2 (4.8)
        Heart1 (2.4)
First contact
    BVAS, average ±SD11. 3 ± 5.3
    r FFS?1, n° (%)23 (57.5)
Last contact
    BVAS, average ± SD0.4 ± 1.3
    VDI, average ± SD2.1 ± 1. 6
    Unemployed patients, n° (%)25 (59 .5)
    Because of AAV, n° (%)8 (32)
General features
Sex, n° (%) male20 (47 .6)
    Age, average ± SD, years48.1±11.5
    ANCA positive, n° (%)42 (100)
        PR3, n° (%)19 (45.2)
        MPO, n° (%)13 (30.9)
        No specificity, n° (%)10 (23.8)
    Diagnosis, n° (%)
        GPA21 (50)
        EGPA16 (38. 1)
        MPA5 (11.9)
    Organ involvement, n° (%)
        General symptoms28 (66.7)
        ENT24(57.1)
        Chest18 (42.9)
        Peripheral Nervous System16 (38.1)
        Skin11 (26.2)
        Kidney7 (1 6.7)
        Eye4 (9.5)
        Abdominal2 (4.8)
        Heart1 (2.4)
First contact
    BVAS, average ±SD11. 3 ± 5.3
    r FFS?1, n° (%)23 (57.5)
Last contact
    BVAS, average ± SD0.4 ± 1.3
    VDI, average ± SD2.1 ± 1. 6
    Unemployed patients, n° (%)25 (59 .5)
    Because of AAV, n° (%)8 (32)
Abstract 234 Table 1:
General features
Sex, n° (%) male20 (47 .6)
    Age, average ± SD, years48.1±11.5
    ANCA positive, n° (%)42 (100)
        PR3, n° (%)19 (45.2)
        MPO, n° (%)13 (30.9)
        No specificity, n° (%)10 (23.8)
    Diagnosis, n° (%)
        GPA21 (50)
        EGPA16 (38. 1)
        MPA5 (11.9)
    Organ involvement, n° (%)
        General symptoms28 (66.7)
        ENT24(57.1)
        Chest18 (42.9)
        Peripheral Nervous System16 (38.1)
        Skin11 (26.2)
        Kidney7 (1 6.7)
        Eye4 (9.5)
        Abdominal2 (4.8)
        Heart1 (2.4)
First contact
    BVAS, average ±SD11. 3 ± 5.3
    r FFS?1, n° (%)23 (57.5)
Last contact
    BVAS, average ± SD0.4 ± 1.3
    VDI, average ± SD2.1 ± 1. 6
    Unemployed patients, n° (%)25 (59 .5)
    Because of AAV, n° (%)8 (32)
General features
Sex, n° (%) male20 (47 .6)
    Age, average ± SD, years48.1±11.5
    ANCA positive, n° (%)42 (100)
        PR3, n° (%)19 (45.2)
        MPO, n° (%)13 (30.9)
        No specificity, n° (%)10 (23.8)
    Diagnosis, n° (%)
        GPA21 (50)
        EGPA16 (38. 1)
        MPA5 (11.9)
    Organ involvement, n° (%)
        General symptoms28 (66.7)
        ENT24(57.1)
        Chest18 (42.9)
        Peripheral Nervous System16 (38.1)
        Skin11 (26.2)
        Kidney7 (1 6.7)
        Eye4 (9.5)
        Abdominal2 (4.8)
        Heart1 (2.4)
First contact
    BVAS, average ±SD11. 3 ± 5.3
    r FFS?1, n° (%)23 (57.5)
Last contact
    BVAS, average ± SD0.4 ± 1.3
    VDI, average ± SD2.1 ± 1. 6
    Unemployed patients, n° (%)25 (59 .5)
    Because of AAV, n° (%)8 (32)

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