| Literature DB >> 31810455 |
A Nygaard1,2, A G Jurik3,4, C Lund5, B Schiøttz-Christensen6,7.
Abstract
BACKGROUND: The purpose of this study is to determine the incidence of bone marrow oedema (BME) at magnetic resonance imaging (MRI) of the sacroiliac joints (SIJ) in a non- rheumatological population, and to explore whether patient-reported outcome measures are suitable for predicting BME at the SIJ at referral. Furthermore, to investigate the final clinical diagnoses three months after initial SIJ MRI.Entities:
Keywords: EuroQol; MRI; Roland-Morris; Spondyloarthritis; ankylosing spondylitis; cohort study
Mesh:
Year: 2019 PMID: 31810455 PMCID: PMC6898953 DOI: 10.1186/s12891-019-2978-1
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Fig. 1Dataflow and MRI cohort at Lillebaelt Hospital from 1 July 2016 to 30 June 2017. 1 picture archiving and communication system
BME and degenerative changes at SIJ MRI in the three departments of radiology at Lillebaelt Hospital
| Total | Vejle | Middelfart | Kolding | ||
|---|---|---|---|---|---|
| Age, years (SD) | 33.1 (7.89) | 32.4 (7.37) | 33.7 (7.99) | 32.1 (8.22) | 0.601 |
| Sex, | 0.212 | ||||
| Male | 106 (31.8) | 35 (39.3) | 54 (29.2) | 17 (28.8) | |
| Female | 227 (68.2) | 54 (60.7) | 131 (70.8) | 42 (71.2) | |
| MRI, | |||||
| BME | 63 (18.9) | 24 (27.0) | 30 (16.2) | 9 (15.3) | 0.082 |
| Non-BME | 270 (81.1) | 65 (73.0) | 155 (83.8) | 50 (84.7) | |
| Degenerative. changes | 17 (5.1) | 4 (4.5) | 12 (6.5) | 1 (1.7) | 0.332 |
1One-way ANOVA, 2Pearsons Chi2 test
BME changes detected by SIJ MRI and the use of diagnoses
| Vejle ( | Middelfart ( | Other1 ( | Total ( | |
|---|---|---|---|---|
| SIJ MRI | ||||
| BME, | 15 (30.6) | 21 (16.0) | 2 (33.3) | 38 (20.3) |
| Non-BME, | 34 (69.4) | 111 (84.0) | 4 (66.6) | 149 (79.7) |
| Diagnoses, | ||||
| ASa (M.45.9) | 3 (6.1) | 2 (1.5) | – | 5 (2.7) |
| SpAb (M.46) | 9 (18.4) | 9 (6.8) | – | 18 (9.6) |
1Department of Rheumatology in Kolding and Fredericia. aAnkylosing spondylitis, bSpondyloarthritis.
Fig. 2Frequency of AS/SpA and other inflammatory associated diagnoses
SpineData Demographics in the BME and non-BME patients
| BME ( | Non-BME ( | ||
|---|---|---|---|
| Age, years (SD) | 35 (7.17) | 33 (8.00) | 0.35a |
| Sex, | 0.25b | ||
| Male | 3 (18.6) | 32 (33) | |
| Female | 13 (81.4) | 65 (67) | |
| BMI, Mean (SD) | 27.9 (7.35) | 26.5 (4.97) | 0.36a |
| Disease activity | |||
| RMDQ (0–100), Mean (SD) | 68.6 (21.6) | 60.0 (62.7) | 0.16a |
| Low back pain intensity, (0–10): Mean (SD) | 5.75 (2.54) | 5.47 (2.37) | 0.55c |
| Leg pain intensity (0–10), Mean (SD) | 4.0 (2.78) | 3.70 (2.95) | 0.71c |
| EuroQol health thermometer (0–100), Mean (SD) | 52.8 (24.0) | 49.9 (21.0) | 0.63a |
at-test, bPearson Chi2 test, cMann-Whitney U test
Grouped logistic regression analysis of pain, function and demographics between groups
| Variables | Odds Ratio (95% CI) | |
|---|---|---|
| Demographics | ||
| Age | 1.01 (0.94–1.09) | 0.78 |
| Sex | 0.54 (0.14–2.11) | 0.37 |
| BMI | 1.04 (0.94–1.15) | 0.41 |
| Pain | ||
| Low back pain (present) | 1.03 (0.77–1.37) | 0.87 |
| Leg pain (present) | 1.02 (0.81–1.29) | 0.85 |
| Function | ||
| RMDQ proportional score | 1.02 (0.99–1.05) | 0.20 |
| EuroQoL sum score | 1.02 (0.99–1.06) | 0.17 |