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PROBE is an observational multicenter cohort study, consisting of a cross-sectional and a 5-years prospective phase, designed to target the major study objectives, such as testing the comprehensiveness of the Behçet's syndrome Overall Damage Index (BODI) in a wide and ethnically heterogeneous cohort of Behçet's syndrome patients, and investigating how damage assessed by the BODI correlates with other major long-term disease outcomes (5-years mortality and hospitalization rates).
Full description
Behçet's syndrome (BS) is a multisystem inflammatory disease of unknown etiology, characterized by strong genetic background, distinctive geographic distribution, and wide variability in clinical presentation. Disease activity related to BS as well as chronic exposure to medications may lead to the development and accrual of irreversible organ damage resulting in impairment of quality of life, disability, and increased mortality. For these reasons, organ damage was included in the Outcome Measures in Rheumatology (OMERACT) outcome core set for BS. The Behçet's syndrome Overall Damage Index (BODI) is a recently developed tool to identify and measure organ damage in BS. The BODI is grounded in a solid evidence-based and consensus-based methodology, and its preliminary validation on a multicenter cohort of Southern European patients showed highly promising performance in terms of comprehensiveness, specificity, reliability, sensitivity to change, and feasibility. Nevertheless, a prospective validation with a wider and ethnically heterogeneous cohort of BS patients is needed to generally evaluate the impact of those BODI items seldom recorded or absent in the preliminary validation cohort and to weigh the damage items depending on their relevance for predicting major outcomes.
PROBE is an observational multicenter cohort study, consisting of a cross-sectional and a 5-years prospective phase, designed to target the major study objectives, such as testing the comprehensiveness of the BODI (content validity) in a wide and ethnically heterogeneous cohort of BS patients, and investigating how damage assessed by the BODI correlates with other major long-term disease outcomes (criterion validity), with the ultimate goal of drafting a weighing system for each BODI item. Specific objectives are reported as follow:
The study population will consist of consecutive BS patients diagnosed according to the International Criteria for Behçet's Disease (ICBD) or International Study Group (ISG) classification criteria, recruited in Centers with expertise for BS. Demographic and clinical data will be collected at the time of recruitment (baseline, T0) and then annually (± 1 month) for 5 years. Overall, 6 visits are planned to be recorded (T0, T1, T2, T3, T4, T5).
During the study, patients will undergo a routine clinical assessment, as scheduled in their followup program. No further clinical, laboratory or instrumental investigations are required in addition to those provided according to good clinical practice. Treatment prescription will be evaluated by each investigator independently from the study and according to the international and local guidelines and the good clinical practice.
Descriptive statistics will be performed to report on the prevalence and amount of damage, as assessed by the BODI. In the whole study cohort and different geographical sub-groups, the damage will be described as:
Ranking of the BODI score will be developed, using a multistate model, depending on the distribution of damage in the whole population.
Univariate and multivariate regression models will be implemented to investigate the significant difference between ethnic/geographic groups in terms of prevalence and amount of damage accrual. Similarly, univariate and multivariate regression models will be implemented to investigate independent factors associated with the development or accrual of damage, as assessed by the BODI. Multivariate Cox proportional hazards regression models will be created to assess the effect of damage (BODI score, BODI ≥1, BODI ranking) on subsequent risk of death with adjustment for covariates, including gender, age, disease duration at enrollment, history of major organ involvement, disease activity at enrolment, comorbidities (onset before BS diagnosis). Results will be presented as hazard ratios with their corresponding 95% confidence intervals. Statistical significance will be defined as a P-value <0.05. Finally, adjusted survival estimates obtained from these Cox regression models were plotted as survival curves.
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