Hospital Israelista Albert Einstein
São Paulo, 05652-900, Brazil
Location status: Recruiting
Location contact
Joao C Rodrigues, MD
CONTACT
Mario Lenza, PhD
CONTACT
NCT Number: NCT03304730
Magnet Resonance Image findings of facet osteoarthritis and patient characteristics are prognostic factors for improving or worsening the clinical outcome after treatment with facet infiltration.
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Request Info18 year and older
All sexes
Observational
São Paulo, 05652-900, Brazil
Location status: Recruiting
Joao C Rodrigues, MD
CONTACT
Mario Lenza, PhD
CONTACT
Several treatments are used in low back pain secondary to FO. The most used are non-hormonal anti-inflammatory drugs and physiotherapy as a conservative measure. Interventional procedures such as facet intraarticular or periarticular infiltration of corticoid for neural blockade and denervation by radiofrequency are considered minimally invasive options, indicated for cases in which conservative treatment fails. Surgical treatment of arthrodesis is also part of the therapeutic options. A systemic corticosteroid is within the available therapeutic arsenal but has undesirable side effects, and its use is restricted in a short period. In order to increase drug concentration at the symptom site, without the undesirable side effects of the systemic corticosteroid, facet intraarticular infiltration (FI) has been used as a complementary treatment. The therapeutic value of FI is not consensus, with widely divergent results in the literature. Nevertheless, it is one of the most used treatments, observing a growing demand for this procedure in the last decades. The selection of the appropriate patient, who would benefit from the treatment, is a determining factor in the outcome of the FI since, in the thesis, only the subgroup of patients with the active inflammatory process in the facet joint would have a positive result corticosteroid infiltration. Identifying this subgroup of patients is a challenge because the diagnosis of facet origin pain is often imprecise. With proper and accurate diagnosis, FI is expected to achieve better results. Magnetic resonance imaging (MRI) can identify the morphological characteristics of facet osteoarthritis, generating a classification in degrees mild, moderate, or severe. It also allows diagnosing the presence or absence of an inflammatory process in the facet joint, usually manifested by indirect signs such as bone edema, periarticular soft-tissue edema, joint effusion, and synovitis. However, morphological characteristics and inflammatory markers of MR imaging have not been tested as prognostic factors of FI efficacy. Patients' characteristics such as gender, age, schooling, family income, smoking, body mass index, professional activity may affect the expected results, but they have not been tested as prognostic factors of FI efficacy.
1.1 Rationale: The relationship between MRI findings of facet osteoarthritis and the effect on FI of corticoid and anesthetic has not been studied. The relationship between the characteristics of age, sex, education, family income, smoking, body mass index, professional activity, and the effect on FI of steroids and anesthetics has not been studied.
Determining the prognostic factors may impact the clinical routine of physicians and patients, guiding the treatment, and selecting those with chances of better results with the FI.
1.2 Hypotheses: MRI findings of facet osteoarthritis and patient characteristics are prognostic factors for improving or worsening the clinical outcome after treatment with FI.
3.1 Image exams and evaluator: All the lumbar spine MRI scans performed by the patients will be analyzed. Two radiologists will read MRI exams without knowledge of clinical, laboratory, or patient evaluation and questionnaire results. The variables degree of facet osteoarthritis, bone edema, periarticular edema, synovitis, effusion, osteophytes, subchondral sclerosis, subchondral cysts, sliding, sagittal or horizontal orientation, identified by MRI, will be tabulated.
3.2 Rating: MRI studies will be evaluated respecting patients' anonymity. Patients' characteristics, MRI imaging findings, and VAS, Roland-Morris, Oswestry, and EQ-5D questionnaires will be tabulated according to the following characteristics: age, sex, schooling, family income, smoking, weight, height, body mass index (BMI), occupational activity, analgesic ingestion, laterality, location, degree of facet arthritis, bone edema, periarticular edema, synovitis, effusion, osteophytes, subchondral sclerosis, subchondral cysts, orientation sagittal or horizontal, facet sliding, VAS, Roland-Morris, EQ-5D, and Oswestry.
3.3 Sample size estimation: Taking into account the primary variable of the study as the presence of inflammatory process in the facet joint, identified at MRI, with an expected prevalence of 30% in the sample and as the primary outcome the functional disability, as measured by the Roland-Morris questionnaire, when checking the sample size needed to detect a difference between the groups, with and without inflammatory process, before and after the FI procedure, it will require 117 patients in total, with a difference in the mean of the groups of 4.0 points. This calculation considered that the standard deviation of the difference of averages between the groups would be homogeneous and 7.0 points, as observed in the literature. Therefore, this study will include 147 patients considering a loss of follow-up in 20%. The sample size needed to compare the groups will be recalculated once the study has a three-month follow-up of 70 patients based on the SD and the proportion of facet inflammation observed. The calculations were made considering 80% test power and a significance level of 5%.
3.4 Statistical analysis: Patient characteristics, MRI findings and pain (VAS), disability (Roland Morris and Oswestry), quality of life (EQ-5D) scores will be described using absolute frequencies and percentages in categorical variables, or through means, standard deviations or medians and quartiles, in addition to minimum and maximum values, in quantitative variables. The MRI characteristics analyzed by two observers will be evaluated for agreement using correlation coefficients appropriate to the observed distribution of cases, such as the Kappa coefficient. To evaluate MRI findings and patient characteristics (age, sex, smoking, family income, BMI, education, occupation, and analgesic intake) in the evolution of pain (VAS), disability (Roland Morris and Oswestry), and quality of life (EuroQol) during twelve months after infiltration, will be used mixed linear models or generalized linear models, in multiple approaches, being such models appropriate for measurements obtained from the same patient at different times. The results of the models will be presented by effect estimates (change in mean pain or means of functional disability and quality of life) and 95% confidence intervals.
We plan to carry out the analysis with the statistical package R and consider the significance level 5%.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
The following are inclusion criteria for participants:
Exclusion criteria
The following are exclusion criteria for participants:
Time frame: Change from baseline to 1 month, to 3 months, to 6 months, and to 12 months
functional disability
Time frame: Change from baseline to 1 month, to 3 months, to 6 months, and to 12 months
pain
Time frame: Change from baseline to 1 month, to 3 months, to 6 months, and to 12 months
functional disability
Time frame: Change from baseline to 1 month, to 3 months, to 6 months, and to 12 months
quality of life
Time frame: Change from baseline to 1 month, to 3 months, to 6 months, and to 12 months
indirect sign of improvement or worsening of pain
Contact information is provided by the study sponsor or research team.
Joao C Rodrigues, MD
CONTACT
Mario Lenza, PhD
CONTACT
Hospital Israelita Albert Einstein
Other
Prognostic Factors of Efficacy in Corticoid and Anesthetic Joint Infiltration for the Treatment of Patients with Low Back Pain Secondary to Zygapophyseal Osteoarthritis: a Prospective Cohort Study
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