scholarly journals The clinical back pain courses described by information available in Danish central registries

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Maria Iachina ◽  
Olav S. Garvik ◽  
Pernille S. Ljungdalh ◽  
Mette Wod ◽  
Berit Schiøttz-Christensen
Keyword(s):  
Back Pain ◽  
Clinical Course ◽  
Diagnosis And Treatment ◽  
Time Interval ◽  
Pain Diagnosis ◽  
The Everyday ◽  
Previous Contact ◽  
One Year ◽  
The Individual ◽  
Pain Patients

Abstract Background Patients with back pain are often in contact with 2–4 hospital departments when receiving a back pain diagnosis and treatment. This complicates the entire clinical course description. There is, currently, no model that describes the course across departments for patients with back pain. This study aims to construct an interdisciplinary clinical course using the central register’s information. Methods All patients with back pain referred for diagnosis and treatment at the Spine Center of Southern Denmark from 1 January 2011 until 31 December 2017 were included. By means of information available in central registers, we described the interdisciplinary clinical course for the individual patient, including information on all contacts at different departments, and proposed three different models to define the index and final date. The index date was defined as the first visit without a previous contact to the Spine Center for 6 months for model I, 1 year for model II, and 2 years for model III. The final date was defined as the last visit without following contacts for 6 months, 1 year, and 2 years, respectively, for models I, II, and III. Results A total of 69,564 patients (male: n = 30,976) with back pain diagnosis were identified. The three models all leave the information on the entire course at the hospital. In model I (64,757 clinical back pain courses), the time span to a possible previous clinical course is too short to secure the start of a new course (14% had two or more). With at least 1 year between a possible previous contact, model II (60,914 courses) fits the everyday clinical practice (9% had two or more clinical back pain courses). In model III (60,173 courses) it seems that two independent courses might be connected in the same course as only 5% had two or more clinical back pain courses. Conclusions Despite contact with different departments, the clinical course for back pain patients can be described by information from the central registers. A one-year time interval fits best the clinicians’ everyday observations.

Early Intervention Options for Acute Low Back Pain Patients: A Randomized Clinical Trial with One-Year Follow-Up Outcomes

2010 ◽  
Vol 20 (2) ◽  
pp. 256-263 ◽  
Author(s):  
Travis Whitfill ◽  
Robbie Haggard ◽  
Samuel M. Bierner ◽  
Glenn Pransky ◽  
Robert G. Hassett ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Low Back Pain ◽  
Back Pain ◽  
Early Intervention ◽  
Randomized Clinical Trial ◽  
Low Back ◽  
Acute Low Back Pain ◽  
One Year ◽  
Pain Patients

scholarly journals BAck Complaints in the Elders - Chiropractic (BACE-C): Design of a cohort study in chiropractic care

2019 ◽  
Author(s):  
Alan D. Jenks ◽  
Trynke Hoekstra ◽  
Iben Axén ◽  
Katie de Luca ◽  
Jonathan Field ◽  
...  
Keyword(s):  
Cohort Study ◽  
Low Back Pain ◽  
Back Pain ◽  
Computer Literacy ◽  
Clinical Course ◽  
Cognitive Disorders ◽  
Chiropractic Care ◽  
Low Back ◽  
Limited Information ◽  
One Year

AbstractBackgroundLow back pain is a common condition among older adults that significantly influences physical function and participation. Compared to their younger counterparts, there is limited information available about the clinical course of low back pain in older people, in particularly those presenting for chiropractic care. Improving our understanding of this patient population and the course of their low back pain may provide input for studies researching safer and more effective care than is currently provided.ObjectivesThe primary objectives are to examine the clinical course over one year of the intensity, healthcare costs and improvement rates of low back pain in people 55 years and older who visit a chiropractor for a new episode of low back pain.MethodsAn international prospective, multi-center cohort study with one-year follow-up. Chiropractic practices are to be recruited in the Netherlands, Sweden, United Kingdom and Australia. Treatment will be left to the discretion of the chiropractor. Inclusion/Exclusion criteria: Patients 55 years and older who are accepted for care having presented to a chiropractor with a new episode of low back pain and who have not been to a chiropractor in the previous six months for an episode of low back pain are to be included, independent of whether or not they have seen another type of health care provider. Patients who are unable to complete the web-based questionnaires because of language restrictions or those with computer literacy restrictions will be excluded as well as those with cognitive disorders. In addition, those with a suspected tumor, fracture, infection or any other potential red flag or condition considered to be a contraindication for chiropractic care will be excluded. Data will be collected using online questionnaires at baseline, and at 2 and 6 weeks and at 3, 6, 9 and 12 months.Trial RegistrationNederlandse Trial Registrar NL7507

scholarly journals Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups

Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1934
Author(s):  
André Wirries ◽  
Florian Geiger ◽  
Ahmed Hammad ◽  
Andreas Redder ◽  
Ludwig Oberkircher ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Back Pain ◽  
Treatment Efficacy ◽  
Heterogeneous Data ◽  
Data Sets ◽  
Combined Application ◽  
Clinical Difference ◽  
Individual Effects ◽  
The Individual ◽  
Pain Patients

Patients with back pain are common and present a challenge in everyday medical practice due to the multitude of possible causes and the individual effects of treatments. Predicting causes and therapy efficien cy with the help of artificial intelligence could improve and simplify the treatment. In an exemplary collective of 1000 conservatively treated back pain patients, it was investigated whether the prediction of therapy efficiency and the underlying diagnosis is possible by combining different artificial intelligence approaches. For this purpose, supervised and unsupervised artificial intelligence methods were analyzed and a methodology for combining the predictions was developed. Supervised AI is suitable for predicting therapy efficiency at the borderline of minimal clinical difference. Non-supervised AI can show patterns in the dataset. We can show that the identification of the underlying diagnostic groups only becomes possible through a combination of different AI approaches and the baseline data. The presented methodology for the combined application of artificial intelligence algorithms shows a transferable path to establish correlations in heterogeneous data sets when individual AI approaches only provide weak results.

Lumbar Spinal Canal Size of Sciatica Patients

1989 ◽  
Vol 30 (4) ◽  
pp. 353-357 ◽  
Author(s):  
M. Hurme ◽  
H. Alaranta ◽  
T. Aalto ◽  
L.-R. Knuts ◽  
H. Vanharanta ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Spinal Canal ◽  
Clinical Manifestations ◽  
Disc Height ◽  
Low Back ◽  
Straight Leg Raising ◽  
One Year ◽  
Lumbar Spinal ◽  
Pain Patients

Seven measures at the three lowest lumbar interspaces were recorded from conventional radiographs of the lumbar spines of 160 consecutive patients with low back pain and sciatica admitted for myelography and possible surgery. Eighty-eight patients were operated upon for disc herniation, and of the conservatively-treated 72 patients, 18 had a pathologic and 54 a normal myelogram. The results were evaluated after one year using the occupational handicap scales of WHO. Correlations of radiographic measures to stature were moderate and to age small. After adjusting for stature and age, only the male interpedicular distances and the antero-posterior diameter of intervertebral foramen at L3 were greater than those of females. The males with a pathologic myelogram had smaller posterior disc height at L3 and a smaller interarticular distance at L3 and L4 than those with normal myelogram, likewise the midsagittal diameter at L3 and L4 in females. In all patients other measures besides posterior disc height were smaller than those for low back pain patients (p<0.001) or for cadavers (p<0.001). The only correlation between measures and clinical manifestations was between pedicular length at L3 and limited straight leg raising. Where the disc material had been extruded into the spinal canal, the interpedicular distance was significantly wider. Only anterior disc height at L3 revealed differences between good and poor outcome one year after surgery, as did the interarticular distance at S1 in patients with normal myelogram after conservative treatment.

scholarly journals Myofascial pain syndrome in female patients with chronic nonspecific back pain: diagnosis and treatment

2020 ◽  
Vol 12 (2) ◽  
pp. 57-63
Author(s):  
D. O. Rozhkov ◽  
O. E. Zinovyeva ◽  
A. N. Barinov ◽  
I. M. Vikhlyantsev ◽  
G. Z. Mikhailova ◽  
...  
Keyword(s):  
Back Pain ◽  
Myofascial Pain ◽  
Pain Syndrome ◽  
Myofascial Pain Syndrome ◽  
Diagnosis And Treatment ◽  
Female Patients ◽  
Pain Diagnosis

scholarly journals Chronic Pain Patients Exhibit Individually Unique Cortical Signatures of Pain

2020 ◽  
Author(s):  
Astrid Mayr ◽  
Pauline Jahn ◽  
Anne Stankewitz ◽  
Bettina Deak ◽  
Anderson Winkler ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Back Pain ◽  
Pain Intensity ◽  
Chronic Back Pain ◽  
Anterior Insula ◽  
Individual Level ◽  
Intensity Changes ◽  
Complex Picture ◽  
The Individual ◽  
Pain Patients

AbstractWe investigated how the trajectory of pain patients’ ongoing and fluctuating pain is encoded in the brain. In repeated fMRI sessions, 20 chronic back pain patients and 20 chronic migraineurs were asked to continuously rate the intensity of their endogenous pain. Linear mixed effects models were used to disentangle cortical processes related to pain intensity and to pain intensity changes. We found that the intensity of pain in chronic back pain patients is encoded in the anterior insula, the frontal operculum, and the pons; the change of pain of chronic back pain and chronic migraine patients is mainly encoded in the anterior insula. At the individual level, we identified a more complex picture where each patient exhibited their own signature of endogenous pain encoding. The diversity of the individual cortical signatures of chronic pain encoding results adds to the understanding of chronic pain as a complex and multifaceted disease.

Sign in / Sign up

Export Citation Format

Share Document