Biomarkers in Early-stage Spondyloarthritis

NCT ID: NCT04095169

Last Updated: 2020-10-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

216 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-01-01

Study Completion Date

2020-10-01

Brief Summary

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Axial spondyloarthritis (axSpA) is a group of inflammatory rheumatic conditions with inflammatory back pain caused by inflammation in the sacroiliac joints (SIJ) and back as hallmark.

Currently, no laboratory test or biomarker is cable of differentiating between patients with early-stage axSpA and persisting low back pain of other causes.

The objective of this study is to investigate the predictive value of baseline levels of the biomarkers Complement C3d and high-sensitive C-reactive protein (HsCRP) identifying bone marrow oedema (BME) at MRI of the SIJ at baseline.

Detailed Description

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Currently, no laboratory test or biomarker is cable of differentiating between patients with early-stage axSpA and persisting low back pain of other causes. Human leukocyte antigen (HLA) B27 is not an acute biomarker, but a prognostic marker for the development of axSpA.

C-reactive protein (CRP) is commonly used as an acute biomarker in different inflammatory conditions. Previous studies have shown that only 40-60% of ankylosing spondylitis (AS) patients with clinical signs of active disease have elevated levels of CRP.

Earlier studies regarding the complement C3 split product C3d have shown a correlation between inflammatory diseases like AS and elevation of C3d. Those studies were based on a small number of cases, but a newer study from 2016 has shown a correlation between different biomarkers, including C3 and new fatty lesions at MRI in Golimumab treated AS patients.

Objective To investigate the predictive value of baseline levels of C3d and hsCRP identifying bone marrow oedema (BME) at MRI of the sacroiliac joints (SIJ) at baseline.

Design:

The study is a prospective cohort study including patients, aged 18-45 years, having unspecific low back pain registered in the Spines of Southern Denmark (SSD) cohort including patients referred to the Spine Centre of Southern Denmark.

At baseline, all patients filled in a standardised questionnaire and were interviewed identifying inflammatory symptoms followed by a clinical examination focusing on symptoms related to the SIJ. Blood samples were taken and analysed for HLA-B27 (prognostic biomarker). Furthermore, all patients underwent an MRI of the spine including the SIJ.

In total, 1037 patients were included, 696 had blood tests taken and gave consent for further use for research purposes.

For research purposes, the blood samples were stored in the Molecular Biology of Infectious Agents in the Early Diagnosis of Spondyloarthritis biobank (MICSA). The biobank is hosted by the research group at Graasten Rheumatological Hospital. Of the 696 patients who gave consent,188 patients were examined by a Rheumatologist at baseline. Of those 96 patients fulfilled the criteria of having axSpA according to The Assessment of SpondyloArthritis international Society (ASAS) criteria, 38 patients had inflammatory changes at MRI or had one feature consisting with spondyloarthritis, but did not fulfil the ASAS criteria. 82 randomly selected patients with low back pain were included as a control group.

In total, 216 patients were defined as the cohort included for further analysis in this study.

Data:

The Department of Clinical Biochemistry at Vejle Hospital has previously assisted in the collection and storage of MICSA samples. It is technically possible to use the stored frozen MICSA samples for analysing C3d.

In total, 184 (of 216) baseline samples were accessible for further analysis. The baseline samples will be analysed for C3d with the use of EDTA (ethylenediaminetetraacetic acid) plasma and treated according to the local protocol for such analyses.

MRI

All patients in the MICSA cohort have had an MRI of the spine including the SIJ at baseline. Two experienced radiologists have systematically described the MRI regarding signs of inflammatory changes including BME.

Statistics:

STATA (version 15.0) will be used for statistical analysis. Parametric data will be reported as the mean and standard derivation (SD) or One-way analysis of variance (ANOVA). In between-group comparisons for continuous and categorical demographic variables will be performed with the independent sample t-test and Pearson Chi-square test or Fisher´s exact test. The Kruskal-Wallis test and interquartile range will be used to describe nonparametric data. Logistic regression analysis will be used to test independent variables as predictive factors for BME detected by MRI, resulting in odds-ratios, sensitivity, specificity, and area under the curve (AUC). This will be followed by multivariate logistic regression to evaluate the potential effect of other variables. A p-value \< 0.05 is considered statistically significant.

Sample size and power calculation:

A previous study with patients suspected of having spondyloarthritis has found a significant difference in mean levels of C3 between groups with 23 and 22 participants, respectively.

By the use of means and SD from the above study and alfa= 0.05, beta= 0.2, power 0.8 and enrollment ratio 1:2 the sample size in our study is calculated to n:10 and n:20 respectively.

It is therefore expected, that a significant difference in C3d levels between the three groups in the present study can be detected based on the size of each group in the MISCA cohort.

Conditions

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Ankylosing Spondylitis Spondyloarthritis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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axSpA

Patients with low back pain ≥three months who a) fulfilled the ASAS definition for a positive MRI scan of sacroiliac joints (definite inflammation) or b) were HLA-B27 positive with at least one concomitant clinical spondyloarthritis feature.

Complement C3d test (blood sample)

Intervention Type DIAGNOSTIC_TEST

Evaluation of C3d levels in EDTA samples from participants

non-axSpA

Patients with a) positive MRI according to the ASAS definition, but no additional clinical spondyloarthritis features, or b) positive HLA-B27 and one clinical spondyloarthritis feature.

Complement C3d test (blood sample)

Intervention Type DIAGNOSTIC_TEST

Evaluation of C3d levels in EDTA samples from participants

Controls

Patients with non-specific low back pain without spondyloarthritis-related features and negative MRI SIJ.

Complement C3d test (blood sample)

Intervention Type DIAGNOSTIC_TEST

Evaluation of C3d levels in EDTA samples from participants

Interventions

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Complement C3d test (blood sample)

Evaluation of C3d levels in EDTA samples from participants

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* patients from the Spines of Southern Denmark cohort who underwent MRI, blood samples, and clinical examination by a rheumatologist.
* aged 18-45
* three months of low back pain prior to inclusion

Exclusion Criteria

* \< 3 months of low back pain
* not wish to participate/ did not sign consent form
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Spine Centre of Southern Denmark

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Allan Nygaard, MD

Role: PRINCIPAL_INVESTIGATOR

Spinecentre of Southern Denmark

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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SpAbio

Identifier Type: -

Identifier Source: org_study_id

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