Introduction and AimsDue to the heterogeneity of presentation, organ involvement, and variable response to treatment assessment can be difficult but should include methods to measure disease activity, burden of disease, and impact using patient reported outcome measures. We aim to correlate Quality of Life measurements to markers of disease activity and severity.Methods83 consecutive patients with sarcoidosis underwent clinical assessment, selected blood tests, pulmonary function testing, plain CXR evaluation andQoL measurement including Kings Sarcoidosis Questionnaire (KSQ) and EQ-5D-5L. Additional data including length of disease, need for treatment, and Drug Burden were integrated. Markers of disease severity, treatment and baseline demographics were correlated against QoL measurements.ResultsThe mean age of the cohort was 58.2 (SD 11.3), 65% were male, with an average disease duration of 7.3 years (SD 6.0), and 52% were on treatment defined as oral prednisolone > 3/12. There were no significant gender differences in terms of EQ-5D-5L or KSQ. There was a trend towards higher QoL with longer disease duration (r 0.173) and lower QoL with raised BMI (r 0.255). Stratifying the cohort by lymphocyte trend and CXR stage are presented in table 1. CXR stage revealed significant differences in FEV1 (p 0.002), FVC (p 0.014) and DLCO (p <0.001). No significant findings for CXR stratification on EQ Visual Assessment of Health [EQ VAS] (p 0.747), Kings Lung (p 0.655), and Kings General (p 0.054) were found. These may have been confounded by cardiac involvement or airway limitation. Treatment with steroids correlated with globally reduced QoL measurements: EQ VAS 60 v 75 (p 0.06), Kings Lung 25 v 19 (p 0.016), and Kings General 43 v 33 (p 0.016). The direction of the relationship is unclear. The strongest correlation was found between number of medications and higher symptom burden defined by the Kings General (r 0.542).ConclusionQoL measures provide additional insights and may help to identify confounders. Corticosteroids have a broad side effect profile. Our data suggests lower QoL in treated groups. A major gap in the management of sarcoidosis is the lack of accessible and objective methods to measure response to intervention. P66 Table 1Demographics and clinical features by lymphocyte trend and CXR stage Lymphocyte Trend CXR Stage ALL N P I R 0 1 2/3 4 N 34 28 17 4 12 18 11 32 83 %Male (n) 56 (19) 71 (20) 76 (13) 100 (4) 75 (7) 61 (11) 64 (7) 59 (19) 65 Age 57.2 (2.2) 57.9 (2.4) 65.3 (2.9) 59.6 (5.3) 59.4 (3.2) 56.5 (2.9) 54.8 (3.5) 62.8 (2.1) 58.2 Duration B 6.9 (1.2) 8.3 (1.2) 6.6 (1.4) 8.2 (1.6) 7.0 (1.5) 4.8 (0.8) 5.4 (1.6) 10.6 (1.3) 7.3 Presentation 50.3 (2.2) 49.6 (2.3) 58.7 (3.3) 51.4 (6.9) 52.4 (3.2) 51.7 (2.9) 49.4 (2.7) 52.2 (2.6) 50.8 BMI 31.5 (0.8) 28.2 (1.2) 28.0 (1.4) 27.6 (1.4) 32.2 (1.7) 29.9 (0.8) 27.5 (1.1) 29.4 (1.1) 29.7 FEV1 B 88 (4) 86 (5) 94 (6) 83 (38) 100 (4) 98 (5) 88 (8) 76 (3) 87 FVC B 93 (4) 95 (3) 98 (7) 96 (21) 99 (3) 103 (4) 97 (8) 84 (3) 93 DLCO B 84 (4) 84 (3) 80 (4) 81 (12) 95 (5) 90 (4) 86 (7) 72 (3) 83 Ratio <0.7 (%) 15 20 50 x 9 15 36 31 18 Meds (mean) 7.8 5.6 7.0 3.3 8.2 4.7 5.3 7.0 6.7 Treatment% (n) 53 (18) 50 (14) 53 (9) 50 (2) 75 (9) 33 (6) 64 (7) 53 (17) 52 EQ VA Health 59 (4) 71 (4) 70 (5) 75 (25) 60 (8) 68 (4) 58 (9) 70 (4) 65 Kings General A 44 (3) 35(3) 33 (5) 27 (7) 43 (4) 41 (4) 44 (5) 33 (3) 39 Kings Lung 23 (2) 20 (2) 20 (3) 15 (9) 22 (3) 22 (2) 23 (3) 21 (2) 22 Key N: Normal, P: Persistent, I: Intermittent, R: Resolved. (Standard Error – unless stated otherwise)A: Significant differences Lymphocyte Trend. B: Significant differences CXR Stage
Read more