Clinical decision support systems (CDSS) can support clinicians in selecting appropriate treatments for patients. The objective of this study was to examine if triaging patients with LBP to the most optimal treatment can be improved by using a data-driven approach with the help of machine learning as base of such a CDSS. A clinical database of the Groningen Spine Center containing patient-reported data from 1546 patients with LBP was used. From this dataset, a training dataset with 354 features was labeled on eight different treatments actually received by these patients. With this dataset, models were trained. A test dataset with 50 cases judged on treatments by 4 experts in LBP triage was used to test these models with data not used to train the models. Prediction accuracy and average area under curve (AUC) were used as performance measures for the models.Aims
Methods
The aims of this study were to investigate whether 1) multispecialist tertiary intervention for complex spinal pain lead to reductions in spine-related healthcare costs and 2) baseline characteristics are related to health care consuming costs. A cost study in a natural prospective cohort was carried out to investigate healthcare data of patients admitted to the Groningen Spine Center (GSC) ranging from two years prior to referral until two year after discharge. GSC intervention consisted of a multi-professional and -specialist based diagnosis and treatment. Patients (18 and 80 years) were included, suffering from specific as well as multifactorial spinal pain. Clinical data was merged with Health Care Insurance data and included questionnaires on demographics, work, pain, disability, quality of life and psychosocial functioning. Univariable (paired sample t-tests) and multivariable analyses (pooled OLS Regression and fixed effects models) were carried out.Aims
Patients and methods
There is growing evidence for an important role of central sensitization (CS) in the development and maintenance of chronic pain. Consequently, alleviation of CS might be helpful, as was demonstrated for pregabalin. For tapentadol this is unknown. Tapentadol is a drug with a dual mechanism: 1) it acts on the mu-opioid receptor (ยต-OR) and 2) it inhibits the reuptake of noradrenalin in the central nervous system3. The noradrenergic effect might involve a modulation of descending pain pathways and thereby reduce or alleviate CS. The aim of the present study is to determine the alterations in CS parameters by tapentadol in patients with chronic visceral (endometriosis) pain and deep somatic (low back) pain, using pregabalin as comparator.Background
Aim
A minority of patients with chronic low back pain (CLBP) account for a majority of disability and costs. This subgroup has potentially most to gain from effective treatment. The Groningen Spine Cohort will provide a 10-year prospective insight into the burden of CLBP for patients referred to multispecialty tertiary spine care in the Netherlands. This study reports first baseline results. To study the personal and societal impact of CLBP in patients visiting the UMCG tertiary spine center.Introduction
Objective
There is growing evidence for an important role of central sensitization (CS) in the development and maintenance of chronic pain. This accounts for patients with chronic low back pain radiating to the leg (CLBPr) as well. Care as Usual (CaU) in these patients consists of diagnostic segmental nerve root blocks (dSNRB) followed by therapeutic interventions, i.e. a therapeutic segmental nerve root block (tSNRB) or pulsed radiofrequency (pRF). However, it is unknown if these procedures affect the amount of CS in these patients. The aim of the present study is to determine the alterations in the presentation of CS in CLBPr patients during care as usual.Background
Aim
The aim of this study was to investigate the agreement of physician assistants (PAs) in the triaging of patients with Low Back Pain (LBP) based on self-reported data. A cross sectional vignette study among four PAs was carried out. Vignettes (cases) were constructed including 26 factors that can be self-reported, identified in literature that have predictive value in treatment outcomes (for example red flags indicating serious underlying conditions and yellow flags indicating psychosocial factors). All vignettes were randomly assigned to the PAs who should determine what intervention would be most optimal to the patient (rehabilitation, injections, medications, surgery, primary care psychology, primary care physical therapy). PAs were allowed to advise more than one intervention. Per vignette, 3 PAs were assigned randomly to advise on intervention. Fleish kappas were calculated to determine the interrater reliability.Aims
Patients and methods
