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Antibiotic treatment In patients with chronic low back pain and Modic changes (the AIM study): study protocol for a randomised controlled trial

Abstract

Background

A previous randomised controlled trial (RCT) of patients with chronic low back pain (LBP) and vertebral bone marrow (Modic) changes (MCs) on magnetic resonance imaging (MRI), reported that a 3-month, high-dose course of antibiotics had a better effect than placebo at 12 months’ follow-up. The present study examines the effects of antibiotic treatment in chronic LBP patients with MCs at the level of a lumbar disc herniation, similar to the previous study. It also aims to assess the cost-effectiveness of the treatment, refine the MRI assessment of MCs, and further evaluate the impact of the treatment and the pathogenesis of MCs by studying genetic variability and the gene and protein expression of inflammatory biomarkers.

Methods/design

A double-blinded RCT is conducted at six hospitals in Norway, comparing orally administered amoxicillin 750 mg, or placebo three times a day, over a period of 100 days in patients with chronic LBP and type I or II MCs at the level of a MRI-confirmed lumbar disc herniation within the preceding 2 years. The inclusion will be stopped when at least 80 patients are included in each of the two MC type groups. In each MC type group, the study is designed to detect (β = 0.1, α = 0.05) a mean difference of 4 (standard deviation 5) in the Roland Morris Disability Questionnaire score between the two treatment groups (amoxicillin or placebo) at 1-year follow-up. The study includes cost-effectiveness measures. Blood samples are assessed for security measures and for possible inflammatory mediators and biomarkers at different time points. MCs are evaluated on MRI at baseline and after 12 months. A blinded intention-to-treat analysis of treatment effects will be performed in the total sample and in each MC type group.

Discussion

To ensure the appropriate use of antibiotic treatment, its effect in chronic LBP patients with MCs should be re-assessed. This study will investigate the effects and cost-effectiveness of amoxicillin in patients with chronic LBP and MCs at the level of a disc herniation. The study may also help to refine imaging and characterise the biomarkers of MCs.

Trial registration

ClinicalTrials.gov, ID: NCT02323412. Registered on 21 November 2014.

Peer Review reports

Background

Low back pain (LBP) is considered the single leading cause for disability worldwide and affects all age groups from adolescents to the elderly, causing activity limitation and work absence with subsequently an economic burden on individuals, families, communities, industry, health services and governments [1]. It is generally recognised that the etiology of LBP is multifactorial, but despite the increase in research over the last 50 years, there is a lack of knowledge, particularly regarding the interaction between environmental, biological and genetic factors. The use of magnetic resonance imaging (MRI) in the assessment of LBP has increased during the last decade, but in about 80–90% of LBP patients imaging reveals no findings with clear relevance to treatment choice [2]. In recent years Modic changes (MCs) have gained attention; these are MRI signal changes in the vertebral bone marrow extending from the endplate, and are defined into types I (oedema type), II (fatty type) and III (sclerotic type) based on their T1 and T2 signals [3]. MCs have an inconsistent relationship to LBP [4,5,6,7,8,9] and an unclear pathogenesis, which is hypothesised to be mechanical, autoimmune, vascular, inflammatory and/or infectious [10,11,12,13,14].

Systematic reviews reveal that existing treatments for non-specific LBP have only a small-to-moderate effect [15,16,17]. One study assessed antibiotic treatment as a new treatment for selected patients with persistent LBP and type I MCs at the level of a previously herniated intervertebral disc [18]. They hypothesised that a low-grade infection of the disc by the anaerobic Proprionibacterium acnes bacteria (P. acnes) resulted in adjacent bone oedema (type I MCs) and chronic disabling LBP. The hypothesis was based on the investigation of bacterial growth in herniated disc material removed by surgery [19,20,21], suggesting that those who developed type I MCs were more likely to have infection with P. acnes. In a randomised controlled trial (RCT), 100 days of antibiotic treatment with amoxicillin clavulanate tablets was more effective than placebo in all primary and secondary outcomes at 12 months’ follow-up [18].

The effect of antibiotic treatment in chronic LBP patients with MCs should be re-assessed for many reasons. There are controversies regarding this trial which call for further research [22,23,24]. Long-term antibiotic treatment has side effects and may cause antimicrobial resistance and should not be used in a large sub-group of LBP patients based on a single RCT (16 to 62% of LBP patients have MCs [25, 26]). Furthermore, the rationale for the treatment is uncertain. The neovascularisation associated with disc herniation is thought to allow P. acnes to enter the disc during ‘normal’ bacteraemia [19, 21], but there is conflicting data on the existence of P. acnes in discs with or without herniation [23, 24, 27, 28]. The presence of P. acnes in the discs of patients undergoing spinal surgery ranges from 0 to 86% [24] and it can also not be excluded that the bacteria found in nuclear material from discs that have been operated on may be due to intraoperative contamination rather than infection [23, 24]. Additionally, the previous trial only included patients with type I MCs [18]. Until now, no study has examined whether antibiotic treatment is effective for patients with type II MCs. Furthermore, the 0.2-Tesla MRI used in the previous study may have shown substantially more type I MCs and fewer type II MCs compared with a 1.5-Tesla MRI which is commonly used in clinical practice [29]. One may also question the relevance of distinguishing between type I and type II MCs since they may represent different stages of a common process [3, 30].

The present article details the protocol related to the main purpose of the current study, which is to examine the effects of antibiotic treatment in patients with chronic LBP and type I or type II MCs at the level of a lumbar disc herniation. The study also aims to assess the cost-effectiveness of the treatment, refine the MRI assessment of MCs, and further evaluate the impact of the treatment and the pathogenesis of MCs by studying genetic variability and the gene and protein expression of biomarkers. These parts of the study are only briefly summarised here.

Methods/design

The study is a multicentre, parallel-group, double-blind, randomised, placebo-controlled, phase-III trial. Pre-specified objectives and hypotheses are listed in Table 1. The Regional Committees for Medical Research Ethics in Norway (REC South East, reference number 2014-2029) and the Norwegian Medicines Agency (SLV, reference number 14/01368-11, EudraCT Number: 2013-004505-14) have approved the protocol, which is registered at ClinicalTrials.gov under the identifier: NCT02323412. The project adheres to the Helsinki Declaration, the ICH-GCP (Good Clinical Practice) guidelines and the Consolidated Standards of Reporting Trials (CONSORT) guidelines for the transparent reporting of trials. It is monitored by the Department of Clinical Research Support, Oslo University Hospital.

Table 1 Objectives and hypotheses of the AIM study

Study population and recruitment

Patients with chronic LBP referred to outpatient clinics at participating hospitals (Oslo University Hospital, Ullevål; Haukeland University Hospital; Bergen; St. Olavs Hospital, Trondheim; University Hospital of North Norway, Tromsø and Østfold Hospital Trust, Moss, Drammen Hospital) are screened for eligibility. Both conservatively treated patients and patients operated on for disc herniation more than 12 months prior to inclusion are eligible. In addition, patients registered in the Norwegian Registry for Spine Surgery who have been operated on for disc herniation and report severe LBP at 1-year follow-up in the registry, are eligible. A total of at least 160 patients will be included and randomised (see ‘Sample size’ section below).

To be included in the trial all participants must satisfy all of the following inclusion criteria:

  • Age between 18 and 65 years

  • LBP of more than 6 months duration in the area below the 12th rib and above the gluteal folds with a Numerical Rating Scale (NRS) pain intensity score of ≥ 5 (mean of three 0–10 NRSs: current LBP, the worst LBP within the last 2 weeks, and the usual/mean LBP within the last 2 weeks)

  • MRI-confirmed lumbar disc herniation within the preceding 2 years

  • Type I and/or type II MC in the vertebral body marrow at the same level as the previously herniated disc. For patients with previous surgery for disc herniation, the MC has to be located at level that has been operated on

  • Written informed consent

The exclusion criteria are as follows:

  • Allergy to penicillin or cephalosporins

  • Allergy/hypersensitivity to any of the excipients of the study drug

  • Current pregnancy or lactation

  • Kidney (creatinine) or hepatic (ALAT/ASAT) laboratory values above the normal range

  • Phenylketonuria (Følling’s disease)

  • Mononucleosis or leukaemia

  • Any specific diagnosis that may explain the patient’s low back symptoms (e.g., tumour, fracture, spondyloarthritis, infection, spinal stenosis)

  • Previous low back surgery (L1–S1) for reasons other than disc herniation (e.g., fusion, decompression, disc prosthesis)

  • Surgery for disc herniation within the last 12 months

  • Previous surgery for disc herniation, but MC located at level(s) that has/have not been operated on only

  • Reservation about the intake of gelatine (the capsules used to encapsulate the study medicine contains gelatine, which, among other things, is produced using ingredients derived from pigs)

  • Regular use of glucocorticoids

  • Regular use of opioids with the exception of codeine and tramadol

  • Not understanding Norwegian language

  • Unlikely to adhere to treatment and/or complete follow-up (e.g., serious ongoing psychiatric disease, drug abuse, plans to move)

  • Antibiotic treatment within the month preceding the start of treatment

  • Contraindications to MRI (e.g., cardiac pacemaker electrodes, metal implant in the eye or brain, claustrophobia)

  • Unwilling to participate

The recruiting clinician screens eligible patients for inclusion and exclusion criteria and requests a baseline study MRI to confirm and characterise MCs seen on the clinical MRI available at screening. The baseline MRI is performed at the local study site and is independently evaluated by two study radiologists, who also re-assess the finding of disc herniation on MRI taken the last 2 years and resolve disagreements relevant to inclusion in consensus. All study sites use the same MRI protocol and the same type of 1.5-Tesla MRI scanner. The radiologists allocate patients to a MCs type I group if baseline MRI shows type I MCs (primary or secondary type I at the superior and/or inferior endplate) at a level with disc herniation in the last 2 years. They allocate patients to a MCs type II group if baseline MRI shows primary or secondary type II MCs – but not type I MCs – at a level with disc herniation in the last 2 years. Disc herniation is defined as displacement of disc material that is focal, i.e., involves < 25% of the disc circumference (whereas bulges involve > 25% and usually extend < 3 mm beyond the edges of the ring apophyses [31]. Primary (most extensive) and secondary MC types are defined as type I (hypointense T1 signal and hyperintense T2 signal), type II (hyperintense T1 signal and iso/hyperintense T2 signal) and type III (hypointense T1 and T2 signal) [3, 32]. MCs in the vertebral corners with a diameter ≤ 5 mm and MCs with craniocaudal size < 10% of the vertebral height do not qualify for inclusion in the RCT. Treatment starts within 6 weeks after screening and within 4 weeks after the baseline study MRI.

Randomisation and blinding

Eligible patients are randomised to one of two treatments, amoxicillin or placebo. In order to evaluate treatment effect in all patients as well as separately in each MC type group (I/II), inclusion is planned to continue until each MC type group contains at least 80 patients (see ‘Sample size’ section below). Stratifying for previous disc surgery will ensure a balanced distribution of this potential source of infection between treatment groups (amoxicillin/placebo). A statistician who is not involved in the trial used STATA 13 (StataCorp LP, College Station, TX, USA) to generate the randomisation lists stratified by MC type group (I/II) and previous disc herniation surgery (yes/no) with a 1:1:1:1 allocation. This ensures that balanced numbers of patients receiving antibiotics or placebo within each of the four resulting strata. The patient allocation is performed using the Viedoc™ application. We buy original amoxicillin tablets (Amimox) directly from the manufacturer (Ameda). Kragerø Tablettproduksjon AS, Kragerø, Norway encapsulates the amoxicillin, and produces and encapsulates the placebo. The original amoxicillin tablets are put into a gelatine capsule (Capsugel DB-caps AAel Swedish orange) consisting of two parts put together and firmly tightened to make them as difficult to open as possible. Placebo is put into identical capsules, thus ensuring that both types of capsule have the same look, feel and taste. The study medicine is then filled into identical containers and packed in two different kits, one with capsules containing amoxicillin and the other with capsules containing placebo. Finally, each container is labelled with a study number according to the randomisation list. At inclusion, the patient receives medicine marked only with the study number; the appearance of the containers, labelling, and the capsules themselves are thus identical for both treatment groups. Three containers, each filled with 100 capsules, are handed out to the patient at the start of intervention. Treatment allocation is concealed for all people involved in the trial. A list linking the study number to the active substance is kept at Kragerø Tablettproduksjon AS. The list will be retrieved only at the end of the study when all the data have been collected and entered into the statistical programme and the analysis of the effect of the treatment on the main outcome (see below) is completed.

Treatment interventions

The previous study used amoxicillin-clavulanate 1500/375 mg/day and 3000/750 mg/day (500/125 mg and 1000/250 mg three times a day) for the low- and high-dose study arm, respectively [18]. The study indicated a non-significant trend towards better outcomes in the high-dose arm at 1-year follow-up, but it was not designed to assess dose response. In Norway, amoxicillin is only available without clavulanate. European culture studies of P. acnes do not suggest beta-lactamase [33], and adding clavulanate might increase the risk of side effects. Hence, in the present study, patients are randomised to receive encapsulated amoxicillin tablets 750 mg or placebo three times a day, for 100 days.

Patients are permitted to continue with their usual LBP therapy (e.g., exercises, physiotherapy, analgesics), but are encouraged to limit any intake of non-steroidal anti-inflammatory drugs (NSAIDs) (like ibuprofen or naproxen), which may be a significant co-intervention. Patients treated with drugs potentially causing adverse interaction with amoxicillin (e.g., allopurinol, digoxin, anticoagulants or methotrexate) can be included, but alternatives to these drugs are considered during the intervention period. All adjunctive therapy is registered.

Data collection

Data are collected at baseline, during the 100 days of treatment and during the 9 months after treatment ends (see Fig. 1 for the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) flow chart). Hence, patients are embedded in the trial for 1 year after inclusion. Data are collected regardless of participants’ compliance with the study protocol.

Fig. 1
figure 1

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) flow chart. Magnetic resonance imaging (MRI). (1) Baseline MRI according to the study protocol can be a maximum of 4 weeks old when treatment starts. A follow-up MRI is taken between 12 and 13 months after treatment start (i.e., 12 to 14 months after baseline MRI); (2) For safety: haematological parameters (leucocytes, thrombocytes, eosinophils, haemoglobin (Hb) and hematocrit (Ht)) and measures of kidney (creatinine) and liver function (ASAT/ALAT), every month or more frequently if clinically indicated. For scientific purposes: glucose, white cell counts and C-reactive protein (CRP) for further safety monitoring and evaluation of inflammatory mechanisms and genetics/epigenetics; (3) Blood pressure, pulse, auscultation of heart and lungs (safety); (4) Age, gender, Body Mass Index (BMI), ethnicity, marital status, educational level, work status, physical work load, leisure time activity, smoking habits, subjective health complaints, emotional distress, fear-avoidance beliefs, low back pain (LBP) history/duration (including previous treatment, e.g., surgery for disc herniation, physiotherapy, chiropractic), expectations about treatment effect, pain drawing; (5) Pain provocation tests (springing test, active flexion/extension of the lumbar spine) and neurological tests (muscle strength, toe-heel walking, sensibility, reflexes, straight-leg raising, i.e., Lasegue test/reverse Lasegue test); (6) Roland Morris Disability Questionnaire, also collected 6 and 9 months after start of treatment; (7) Pain monitoring (LBP intensity) weekly during treatment period, and at 6 and 9 months after start of treatment; (8) Oswestry Disability Index, leg pain, hours with low back pain during the last 4 weeks, symptom-specific well-being, health-related quality of life, sick leave, short tau inversion recovery (STIR) signal of Modic changes; (9) Patient’s satisfaction with treatment (5-point Likert scale) and global perceived effect (7-point Likert scale); (10) Patients are asked to report which study medicine they think they received (antibiotics/placebo/unsure); (11) Co-interventions (concomitant medication and non-pharmacological treatments) and sick-listing is monitored monthly also during the follow-up period (100 to 365 days) for health-economical calculations; (12) Embraces patients from two participating hospitals. At day 0, faeces are collected before the first tablet is administered; (13) Containers and capsules delivered to local ‘Sykehusapotek’ at each participating hospital for return capsule count, registering of accountability in electronic systems and destruction of the returned study drug

Background data are collected at baseline only and include patient age, gender, Body Mass Index (BMI), ethnicity, marital status, educational level, work status, physical work load, leisure time activity, smoking habits, subjective health complaints [34], emotional distress (Hopkins Symptom Checklist-25 (HSCL-25)) [35], fear-avoidance beliefs (Fear Avoidance Beliefs Questionnaire (FABQ) work/physical activity) [36], LBP history/duration (including previous treatment, e.g., surgery for disc herniation, physiotherapy, chiropractic), expectations about treatment effect, and drawing of pain distribution (localised versus widespread pain) [37, 38]. In addition, pain provocation tests (springing test, active flexion/extension of the lumbar spine) and neurological tests (muscle strength, toe-heel walking, sensibility, reflexes, straight-leg raising, i.e., Lasegue test/reverse Lasegue test) are structured and registered by a clinician in a Case Report Form (CRF) at baseline.

Primary outcome

The primary outcome measure is pain and disability measured by the Norwegian version of the Roland and Morris Disability Questionnaire (RMDQ) [39, 40]. The RMDQ scale ranges from 0 to 24; higher scores indicate worse disability. The RMDQ was also used as the primary outcome in the previous trial [18].

Secondary outcomes

Secondary clinical outcome measures are pain-related disability assessed by the Oswestry Disability Index (ODI) version 2.0 [41], LBP intensity (mean 0–10 NRS score for current LBP, worst LBP within the last 2 weeks, and usual/mean LBP within the last 2 weeks), leg pain last week (0–10 NRS), hours with LBP during the last 4 weeks (range 0–448 h) [18], symptom-specific well-being (5-point Likert scale) [42, 43], health-related quality of life (EuroQoL-5D version 2.0) [44], self-reported days of sick leave, co-interventions (other pharmacological (ATC-coded) and non-pharmacological treatments), patient’s satisfaction with treatment (5-point Likert scale) and global perceived effect (7-point Likert scale). A further secondary outcome measure is the short tau inversion recovery (STIR) signal of MCs.

Adverse events and safety

Details of adverse events are assessed by the clinician and are MedDRA-coded in a CRF during the treatment period (monthly), post treatment and at 1-year follow-up. Haematological parameters, including measures of kidney and liver function, are assessed monthly during the treatment period, together with a short clinical evaluation to monitor side effects (not outcome measures).

Compliance and blinding assessment

Treatment compliance is assessed by capsule counts by a pharmacist at the last visit within the intervention period (100 days after start of treatment); in addition, every week during the intervention period patients are asked how many days they took the study medication in the last week (0–7). No other measures (e.g., of blood or urine) will be used to assess dose compliance. We have not pre-defined a fixed limit for compliance since this was not defined in the previous study and 94–5% of the patients in that study consumed 95–100% of the tablets [18]. We will perform primary intention-to-treat (ITT) analyses of all patients regardless of their compliance. We may assess the effect of compliance on outcome in an exploratory analysis.

To assess patients’ blinding to treatment allocation, patients are asked post treatment (100 days after start of treatment) and at 1-year follow-up to report which study medicine they think that they received (antibiotics/placebo/unsure). The effect of their reports on outcome will be examined in explorative analysis.

Data integrity

All clinician-reported and patient-reported data are captured electronically using Viedoc™ (Viedoc™, Pharma Consulting Group, Uppsala, Sweden), a web-based data capture system, compliant with all relevant regulations. The patients enter data in the ViedocMe application after logging on with their own unique username and password. An SMS is sent to the patients as a reminder 2 days before the deadline for completing the patient-reported data. Every week, local study coordinators at each study site control for data completeness for patients included at their own clinic. In the case of missing data, clinicians and/or patients are contacted in order to discover the cause.

Sample size

The study is designed to assess the treatment effect in the total sample as well as separately in each MC type group (I/II). In each MC type group, the study is designed to detect (β = 0.1, two-sided α = 0.05) a mean difference of 4 (standard deviation (SD) 5) in the RMDQ score between the two treatment groups (amoxicillin or placebo) at 1-year follow-up. The SD of 5 is within the upper range of reported SDs for the RMDQ in patients with persistent LBP [40, 45,46,47,48,49]. In each MC type group, these assumptions result in a sample size of 66 (33 in each treatment group) (http://www.openepi.com/SampleSize/SSMean.htm). To enable separate analyses in each of the two MC type groups, we need 132 patients. (In the total sample, this provides 90% power at two-sided α = 0.05 to detect a mean difference of 2.8 (SD 5) in the RMDQ score between the two treatment groups). Presuming 20% dropouts (26 patients), we will include 80 MC type I patients and 80 MC type II patients. We plan to continue inclusion until 80 patients are included in the MC type group that is slowest to recruit, implying inclusion of at least 80 patients in the other MC type group and at least 160 patients in total.

Data analysis

The pre-specified hypotheses have a prioritised order (Table 1), reducing multiple testing problems for the first hypothesis. A statistician blinded to treatment group will perform ITT analyses of the treatment effect on the primary outcome (RMDQ score at 1-year follow-up) in the total sample and in each MC type group (hypotheses A (main objective), B and C (secondary objectives), Table 1), using analysis of covariance (ANCOVA) adjusted for baseline RMDQ score. The significance level will be 0.05 in these analyses. Treatment effect evaluated by the secondary outcomes ODI and LBP-intensity scores at 1-year follow-up (hypotheses D and E, Table 1) will also be analysed using ITT ANCOVA adjusted for baseline score. In all analyses, we will report the between-group mean differences with 95% confidence intervals (CIs) and p values.

Secondary ITT analyses of treatment effect are (1) linear mixed-effects models (LME) for repeated measures of RMDQ (at baseline and at 3, 6, 9 and 12 months) and LBP intensity (at baseline, weekly during the treatment period, and at 3, 6, 9 and 12 months) and (2) responder analyses, comparing proportions of patients with > 75%, > 50% and > 30% reduction in RMDQ score from baseline to 1-year follow-up between treatment groups (chi-square tests) and reporting number needed to treat (NNT) with 95% CI.

For hypotheses F and G (STIR signal of MCs), the primary analysis will be multiple regression analysis. For hypothesis H (quality of life), ITT ANCOVA adjusted for baseline score will be used (Table 1). Additionally, we will consider exploratory per-protocol analyses for all hypotheses.

Missing 1-year data on RMDQ, ODI, LBP intensity and EuroQoL-5D, respectively, in the ITT ANCOVA analyses and in the responder analyses will be replaced using multiple imputation methods.

The research team will not perform interim analyses. An independent Data Monitoring Committee, blinded to treatment arm, will analyse the primary outcome measure (RMDQ) at 1-year follow-up in the first 80 included patients. They may stop the trial if they detect a mean difference of > 7.0 in 1-year RMDQ score between the two treatment arms, adjusted for baseline RMDQ score.

Cost-effectiveness

The cost-effectiveness analysis will compare the potential effect of the treatment by using the primary outcome RMDQ and the EuroQoL-5D as measures of effectiveness. Costs of the study treatment (direct costs) will be estimated using a bottom-up approach. Costs to the healthcare system incurred due to LBP (indirect costs) will be estimated based on data recorded in a monthly cost diary. The diary will include number of visits to a general practitioner, physical or manual therapist, medical specialists, social worker, and alternative therapist; number of days of hospitalisation and/or rehabilitation; use of medication (both prescription and over-the-counter medication), and self-reported days of sick leave. The costs of work absenteeism will be estimated as the number of days absent from work multiplied by the average wage rate.

MRI studies

MRI of the lumbar spine is performed at baseline and 1-year follow-up and includes T1- and T2-weighted fast spin-echo images (to assess presence and type of MCs) and STIR images (to provide fat saturation and test hypotheses F and G, Table 1). The MRIs also include T1-and T2-weighted fat-water separation images, diffusion-weighted images, and T1-weighted, fat-saturated, contrast-enhanced images.

We will determine the reliability (observer agreement) of different MC characteristics by different MRI methods (kappa statistics and Bland-Altman plots), and explore the relationship of different MC characteristics to each other and to clinical variables and outcomes (multiple regression analyses). We will also compare change in MC characteristics from baseline to 1-year follow-up between treatment groups.

Biological and molecular studies

To identify and characterise novel biomarkers for MCs, we will assess underlying biological and molecular mechanisms. Epigenetic patterns, gene and protein expression and genetic variation will be mapped out, evaluated in the two treatment groups and for the two MC types at different time points, and correlated to clinical data. We will also investigate the impact of amoxicillin on the faecal flora and the emergence of resistant bacteria and resistance genes.

Discussion

This article presents the design and rationale for a double-blind RCT comparing the effect of amoxicillin and placebo for patients with chronic LBP and MCs type I or II at the level of a previously herniated disc. A previous Danish study found an effect of amoxicillin clavulanate in patients with type I MCs [18]. If our findings differ, this may contribute to the prevention of inappropriate clinical use of antibiotics in a large patient population.

Several choices made when designing this study need discussion. First, the requirement of a prior disc herniation was due to the fact that bacterial investigations have almost solely been performed in herniated disc material [28]. In a biopsy study no viable bacteria were found in vertebrae affected with large MC type I changes [50]. We also wished to be able to report conclusive results and avoid overlooking any treatment effect in patients with disc herniation, since the Danish trial only included and found treatment effect in such patients [18]. Including patients without disc herniation would thus have required a doubled sample size (equally large groups with and without herniation) and financial support. We could have abandoned the separate investigation of treatment effect in each MC type group (which also required a doubled sample size), but we prioritised this investigation.

Second, and partly in order to re-assess findings in the Danish trial, we chose treatment with amoxicillin in a similar dose (750 mg three times a day, average of their high- and low-doses) and for the same period of time (100 days).

Regarding patient inclusion, since MC type is not a fixed characteristic (but may depend on MRI magnet strength), we decided to continue inclusion of both MC type groups unchanged until the MC type group that is slowest to recruit contains 80 patients (and the other MC type group contains at least 80 patients). Otherwise, we would also have had to exclude and potentially disappoint many eligible patients after their baseline MRI had shown MCs of a type no longer needed in the study. Such patients could potentially demotivate other eligible patients from participating in the study, which could reduce the representativeness of our study sample. Excluding patients earlier (prior to baseline MRI) based on MC type on the non-standardised clinical MRI would have induced heterogeneous patient selection.

For the sample size calculations we considered a between-group difference of 4 points on the RMDQ as the smallest clinically relevant difference. In the Danish study the difference between the amoxicillin clavulanate group and the placebo group at the 1-year follow-up was about 7 RMDQ points. In individual patients we consider a 30% improvement as the smallest clinically important reduction. However, taking the high dose and long duration of the antibiotic treatment into account, the size of the between-group differences, or individual improvement that is large enough to be considered clinically relevant, is not settled and is an issue open for discussion. In addition, since our study is designed to detect the smallest clinically relevant difference separately in each Modic type group, it may detect a smaller and irrelevant difference in the total sample. However, statistically significant differences of < 4 RMDQ points are not clinically relevant and will not be used as a basis for recommending antibiotic treatment in the studied patient groups. In addition, proper use of antibiotics must be based on interpretation of all relevant data on benefits and harms from all relevant studies.

Trial status

Participant recruitment was initiated on 6 June 2015 and was ongoing at the time that this paper was submitted (16 March 2017). The last patient was recruited on 1 September 2017 (treatment started at 29 September 2017). A total of 180 patients are included. Data collection is expected to be complete by September 2018. (Additional file 1).

Abbreviations

BMI:

Body Mass Index

CRF:

Case Report Form

ITT:

Intention-to-treat

LBP:

Low back pain

LME:

Linear mixed-effects models

MC:

Modic change

MRI:

Magnetic resonance imaging

NNT:

Number needed to treat

NRS:

Numerical Rating Scale

ODI:

Oswestry Disability Index

P. acnes :

Proprionibacterium acnes bacteria

RCT:

Randomised controlled trial

RMDQ:

Roland Morris Disability Questionnaire

SD:

Standard deviation

SLV:

Norwegian Medicines Agency

STIR:

Short tau inversion recovery

References

  1. Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2163–96.

    Article  PubMed  Google Scholar 

  2. Laerum E, Brox JI, Storheim K, Espeland A, Haldorsen EH, Munch-Ellingsen J, et al. Nasjonale kliniske retningslinjer. Korsryggsmerter med og uten nerverotaffeksjon. 2007. Report.

  3. Modic MT, Steinberg PM, Ross JS, Masaryk TJ, Carter JR. Degenerative disk disease: assessment of changes in vertebral body marrow with MR imaging. Radiology. 1988;166(1:Pt 1):t-9.

    Google Scholar 

  4. Kjaer P, Korsholm L, Bendix T, Sorensen JS, Leboeuf-Yde C. Modic changes and their associations with clinical findings. Eur Spine J. 2006;15(9):1312–9.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Jensen TS, Karppinen J, Sorensen JS, Niinimaki J, Leboeuf-Yde C. Vertebral endplate signal changes (Modic change): a systematic literature review of prevalence and association with non-specific low back pain. Eur Spine J. 2008;17(11):1407–22.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Maatta JH, Karppinen JI, Luk KD, Cheung KM, Samartzis D. Phenotype profiling of Modic changes of the lumbar spine and its association with other MRI phenotypes: a large-scale population-based study. Spine J. 2015;15(9):1933–42.

    Article  PubMed  Google Scholar 

  7. Weishaupt D, Zanetti M, Hodler J, Min K, Fuchs B, Pfirrmann CW, et al. Painful lumbar disk derangement: relevance of endplate abnormalities at MR imaging. Radiology. 2001;218(2):420–7.

    Article  CAS  PubMed  Google Scholar 

  8. Lim CH, Jee WH, Son BC, Kim DH, Ha KY, Park CK. Discogenic lumbar pain: association with MR imaging and CT discography. Eur J Radiol. 2005;54(3):431–7.

    Article  PubMed  Google Scholar 

  9. Kovacs FM, Arana E, Royuela A, Estremera A, Amengual G, Asenjo B, et al. Vertebral endplate changes are not associated with chronic low back pain among Southern European subjects: a case control study. AJNR Am J Neuroradiol. 2012;33(8):1519–24.

    Article  CAS  PubMed  Google Scholar 

  10. Adams MA, Freeman BJ, Morrison HP, Nelson IW, Dolan P. Mechanical initiation of intervertebral disc degeneration. Spine (Phila Pa 1976). 2000;25(13):1625–36.

    Article  CAS  Google Scholar 

  11. Albert HB, Kjaer P, Jensen TS, Sorensen JS, Bendix T, Manniche C. Modic changes, possible causes and relation to low back pain. Med Hypotheses. 2008;70(2):361–8.

    Article  CAS  PubMed  Google Scholar 

  12. Crock HV, Goldwasser M. Anatomic studies of the circulation in the region of the vertebral end-plate in adult Greyhound dogs. Spine (Phila Pa 1976). 1984;9(7):702–6.

    Article  CAS  Google Scholar 

  13. Burke JG, Watson RW, McCormack D, Dowling FE, Walsh MG, Fitzpatrick JM. Intervertebral discs which cause low back pain secrete high levels of proinflammatory mediators. J Bone Joint Surg (Br). 2002;84(2):196–201.

    Article  CAS  Google Scholar 

  14. Ohtori S, Inoue G, Ito T, Koshi T, Ozawa T, Doya H, et al. Tumor necrosis factor-immunoreactive cells and PGP 9.5-immunoreactive nerve fibers in vertebral endplates of patients with discogenic low back pain and Modic type 1 or type 2 changes on MRI. Spine (Phila Pa 1976). 2006;31(9):1026–31.

    Article  Google Scholar 

  15. Deyo RA. Treatments for back pain: can we get past trivial effects? Ann Intern Med. 2004;141(12):957–8.

    Article  PubMed  Google Scholar 

  16. Keller A, Hayden J, Bombardier C, van Tulder M. Effect sizes of non-surgical treatments of non-specific low-back pain. Eur Spine J. 2007;16(11):1776–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Artus M, van der Windt DA, Jordan KP, Hay EM. Low back pain symptoms show a similar pattern of improvement following a wide range of primary care treatments: a systematic review of randomized clinical trials. Rheumatology (Oxford). 2010;49(12):2346–56.

    Article  Google Scholar 

  18. Albert HB, Sorensen JS, Christensen BS, Manniche C. Antibiotic treatment in patients with chronic low back pain and vertebral bone edema (Modic type 1 changes): a double-blind randomized clinical controlled trial of efficacy. Eur Spine J. 2013;22(4):697–707.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Stirling A, Worthington T, Rafiq M, Lambert PA, Elliott TS. Association between sciatica and Propionibacterium acnes. Lancet. 2001;357(9273):2024–5.

    Article  CAS  PubMed  Google Scholar 

  20. Albert HB, Manniche C. Modic changes following lumbar disc herniation. Eur Spine J. 2007;16(7):977–82.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Albert HB, Lambert P, Rollason J, Sorensen JS, Worthington T, Pedersen MB, et al. Does nuclear tissue infected with bacteria following disc herniations lead to Modic changes in the adjacent vertebrae? Eur Spine J. 2013;22(4):690–6.

    Article  PubMed  PubMed Central  Google Scholar 

  22. McCartney M. Antibiotics for back pain: hope or hype? BMJ. 2013;346:f3122.

    Article  PubMed  Google Scholar 

  23. Aebi M. Is low back pain after disc herniation with Modic Type 1 changes a low-grade infection? Eur Spine J. 2013;22(4):689.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Urquhart DM, Zheng Y, Cheng AC, Rosenfeld JV, Chan P, Liew S, et al. Could low grade bacterial infection contribute to low back pain? A systematic review. BMC Med. 2015;13(1):13.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Zhang YH, Zhao CQ, Jiang LS, Chen XD, Dai LY. Modic changes: a systematic review of the literature. Eur Spine J. 2008;17(10):1289–99.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Brinjikji W, Diehn FE, Jarvik JG, Carr CM, Kallmes DF, Murad MH, et al. MRI findings of disc degeneration are more prevalent in adults with low back pain than in asymptomatic controls: a systematic review and meta-analysis. AJNR Am J Neuroradiol. 2015;36(12):2394–9.

    Article  CAS  PubMed  Google Scholar 

  27. Rigal J, Thelen T, Byrne F, Cogniet A, Boissiere L, Aunoble S, et al. Prospective study using anterior approach did not show association between Modic 1 changes and low grade infection in lumbar spine. Eur Spine J. 2016;25(4):1000–5.

    Article  PubMed  Google Scholar 

  28. Ganko R, Rao PJ, Phan K, Mobbs RJ. Can bacterial infection by low virulent organisms be a plausible cause for symptomatic disc degeneration? A systematic review. Spine (Phila Pa 1976). 2015;40(10):E587–92.

    Article  Google Scholar 

  29. Bendix T, Sorensen JS, Henriksson GA, Bolstad JE, Narvestad EK, Jensen TS. Lumbar modic changes—a comparison between findings at low- and high-field magnetic resonance imaging. Spine (Phila Pa 1976). 2012;37(20):1756–62.

    Article  Google Scholar 

  30. Rahme R, Moussa R. The modic vertebral endplate and marrow changes: pathologic significance and relation to low back pain and segmental instability of the lumbar spine. AJNR Am J Neuroradiol. 2008;29(5):838–42.

    Article  CAS  PubMed  Google Scholar 

  31. Fardon DF, Williams AL, Dohring EJ, Murtagh FR, Gabriel Rothman SL, Sze GK. Lumbar disc nomenclature: version 2.0: Recommendations of the combined task forces of the North American Spine Society, the American Society of Spine Radiology and the American Society of Neuroradiology. Spine J. 2014;14(11):2525–45.

    Article  PubMed  Google Scholar 

  32. Toyone T, Takahashi K, Kitahara H, Yamagata M, Murakami M, Moriya H. Vertebral bone-marrow changes in degenerative lumbar disc disease. An MRI study of 74 patients with low back pain. J Bone Joint Surg (Br). 1994;76(5):757–64.

    CAS  Google Scholar 

  33. NORM. Norsk overvåkingssystem for antibiotikaresistens hos mikrober. 2013.

    Google Scholar 

  34. Eriksen HR, Ihlebaek C, Ursin H. A scoring system for subjective health complaints (SHC). Scand J Public Health. 1999;27(1):63–72.

    Article  CAS  PubMed  Google Scholar 

  35. Derogatis LR, Lipman RS, Rickels K, Uhlenhuth EH, Covi L. The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behav Sci. 1974;19(1):1–15.

    Article  CAS  PubMed  Google Scholar 

  36. Waddell G, Newton M, Henderson I, Somerville D, Main CJ. A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain. 1993;52(2):157–68.

    Article  CAS  PubMed  Google Scholar 

  37. Ohlund C, Eek C, Palmbald S, Areskoug B, Nachemson A. Quantified pain drawing in subacute low back pain. Validation in a nonselected outpatient industrial sample. Spine. 1996;21(9):1021–30.

    Article  CAS  PubMed  Google Scholar 

  38. Kvale A, Ellertsen B, Skouen JS. Relationships between physical findings (GPE-78) and psychological profiles (MMPI-2) in patients with long-lasting musculoskeletal pain. Nord J Psychiatry. 2001;55(3):177–84.

    Article  CAS  PubMed  Google Scholar 

  39. Roland M, Fairbank J. The Roland-Morris Disability Questionnaire and the Oswestry Disability Questionnaire. Spine. 2000;25(24):3115–24.

    Article  CAS  PubMed  Google Scholar 

  40. Grotle M, Brox JI, Vollestad NK. Cross-cultural adaptation of the Norwegian versions of the Roland-Morris Disability Questionnaire and the Oswestry Disability Index. J Rehabil Med. 2003;35(5):241–7.

    Article  CAS  PubMed  Google Scholar 

  41. Fairbank JC, Pynsent PB. The Oswestry Disability Index. Spine. 2000;25(22):2940–53.

    Article  CAS  PubMed  Google Scholar 

  42. Mannion AF, Elfering A, Staerkle R, Junge A, Grob D, Semmer NK, et al. Outcome assessment in low back pain: how low can you go? Eur Spine J. 2005;14(10):1014–26.

    Article  PubMed  Google Scholar 

  43. Storheim K, Brox JI, Lochting I, Werner EL, Grotle M. Cross-cultural adaptation and validation of the Norwegian version of the Core Outcome Measures Index for low back pain. Eur Spine J. 2012;21(12):2539–49.

    Article  PubMed  PubMed Central  Google Scholar 

  44. The EuroQol Group. EuroQol—a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(3):199–208.

    Article  Google Scholar 

  45. Jensen OK, Nielsen CV, Sorensen JS, Stengaard-Pedersen K. Type 1 Modic changes was a significant risk factor for 1 year outcome in sick-listed low back pain patients: a nested cohort study using magnetic resonance imaging of the lumbar spine. Spine J. 2014;14(11):2568–81.

  46. Jensen RK, Leboeuf-Yde C, Wedderkopp N, Sorensen JS, Manniche C. Rest versus exercise as treatment for patients with low back pain and Modic changes. A randomized controlled clinical trial. BMC Med. 2012;10:22.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Wilkens P, Scheel IB, Grundnes O, Hellum C, Storheim K. Effect of glucosamine on pain-related disability in patients with chronic low back pain and degenerative lumbar osteoarthritis: a randomized controlled trial. JAMA. 2010;304(1):45–52.

    Article  CAS  PubMed  Google Scholar 

  48. Dufour N, Thamsborg G, Oefeldt A, Lundsgaard C, Stender S. Treatment of chronic low back pain: a randomized, clinical trial comparing group-based multidisciplinary biopsychosocial rehabilitation and intensive individual therapist-assisted back muscle strengthening exercises. Spine (Phila Pa 1976). 2010;35(5):469–76.

    Article  Google Scholar 

  49. Grotle M, Foster NE, Dunn KM, Croft P. Are prognostic indicators for poor outcome different for acute and chronic low back pain consulters in primary care? Pain. 2010;151(3):790–7.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Wedderkopp N, Thomsen K, Manniche C, Kolmos HJ, Secher Jensen T, Leboeuf Yde C. No evidence for presence of bacteria in modic type I changes. Acta Radiol. 2009;50(1):65–70.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Not applicable

Funding

This work receives financial support from the South East Norway Regional Health Authority (grant 2015-090) and the Western Norway Regional Health Authority (grant HV 911891 and HV 911938).

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

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Contributions

KS is the trial manager, is a grant holder and has been responsible for the development of the protocol, implementation of the trial and drafting the protocol manuscript. AE contributed to management of the trial, to the protocol and manuscript development, is a grant holder, and is responsible for the MRI evaluations conducted in the project. NV contributed to the MRI protocol and manuscript development. LG contributed to the protocol and manuscript development, provided clinical expertise and is a site lead at Østfold Hospital Trust, Moss. AJH contributed to the protocol development and is a site lead at Østfold Hospital Trust, Moss. JSS contributed to the protocol development, provided clinical expertise and is a site lead at Haukeland University Hospital, Bergen. TK is a site lead. AA contributed to the protocol development, provided clinical expertise and is a site lead at University Hospital of North Norway, Tromsø. TF is a site lead. AF contributed to the protocol development, provided clinical expertise and is a site lead at Drammen Hospital. SR is a site lead. JIB contributed to the protocol and manuscript development, provided clinical expertise and is a site lead at Oslo University Hospital, Ullevål. ES is a site lead. ØPN contributed to the protocol development, provided clinical expertise and is a site lead at St.Olavs Hospital, Trondheim. GHM is a site lead. JA is responsible for designing statistical procedures and drafting this part of the protocol and manuscript. LMP wrote the text regarding genetic variability and the gene and protein expression of biomarkers. MG is leading the economic evaluation and drafted this part of the protocol and manuscript. OL is responsible for the protocol and manuscript related to infection medicine. JAZ is the principal investigator and has contributed to the protocol and manuscript development and to funding. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kjersti Storheim.

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Ethics approval and consent to participate

Ethical approval embracing all six participating hospitals has been obtained from The Regional Committees for Medical Research Ethics in Norway (REC South East, reference number 2014-2029) and the Norwegian Medicines Agency (SLV, reference number 14/01368-11, EudraCT Number: 2013-004505-14). The trial was registered at ClinicalTrials.gov (NCT02323412) prior to starting recruitment. Patients are being informed about the risks and possible benefits of the study. The participation in this study is voluntary. Written informed consent is being obtained from all patients.

Consent for publication

All participants consent to the publication of results, given adequate anonymisation. All data will be analysed with respect for confidentiality. This information is included in the written informed consent.

Competing interests

None of the authors have any competing interests to declare.

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SPIRIT 2013 Checklist. (DOC 121 kb)

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Storheim, K., Espeland, A., Grøvle, L. et al. Antibiotic treatment In patients with chronic low back pain and Modic changes (the AIM study): study protocol for a randomised controlled trial. Trials 18, 596 (2017). https://doi.org/10.1186/s13063-017-2306-8

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