10 Tests der motorischen Kontrolle bei Patienten mit Rückenschmerzen

2020 ◽  
Vol 24 (05) ◽  
pp. 215-216
Author(s):  
Arne Vielitz

Biele C, Möller D, von Piekartz H et al. Validity of Increasing the Number of Motor Control Tests within a Test Battery for Discrimination of Low Back Pain Conditions in People Attending a Physiotherapy Clinic: a Case-Control Study. MJ Open 2019; 25: e032340. doi:10.1136/bmjopen-2019-032340

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e032340
Author(s):  
Christoph Biele ◽  
Dirk Möller ◽  
Harry von Piekartz ◽  
Toby Hall ◽  
Nikolaus Ballenberger

ObjectivesTo develop a time-efficient motor control (MC) test battery while maximising diagnostic accuracy of both a two-level and three-level classification system for patients with non-specific low back pain (LBP).DesignCase–control study.SettingFour private physiotherapy practices in northern Germany.ParticipantsConsecutive males and females presenting to a physiotherapy clinic with non-specific LBP (n=65) were compared with 66 healthy-matched controls.Primary outcome measuresAccuracy (sensitivity, specificity, Youden index, positive/negative likelihood ratio, area under the curve (AUC)) of a clinically driven consensus-based test battery including the ideal number of test items as well as threshold values and most accurate items.ResultsFor both the two and three-level categorisation system, the ideal number of test items was 10. With increasing number of failed tests, the probability of having LBP increases. The overall discrimination potential for the two-level categorisation system of the test is good (AUC=0.85) with an optimal cut-off of three failed tests. The overall discrimination potential of the three-level categorisation system is fair (volume under the surface=0.52). The optimal cut-off for the 10-item test battery for categorisation into none, mild/moderate and severe MC impairment is three and six failed tests, respectively.ConclusionA 10-item test battery is recommended for both the two-level (impairment or not) and three-level (none, mild, moderate/severe) categorisation of patients with non-specific LBP.


2009 ◽  
Vol 18 (7) ◽  
pp. 1066-1073 ◽  
Author(s):  
Nathalie Roussel ◽  
Jo Nijs ◽  
Steven Truijen ◽  
Liesbet Vervecken ◽  
Sarah Mottram ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0234858
Author(s):  
Cathrin Koch ◽  
Augusto Garcia-Augundez ◽  
Stefan Göbel ◽  
Frank Hänsel

2017 ◽  
Vol 60 ◽  
pp. e17
Author(s):  
Amandine Grelier ◽  
Olivier Bailliart ◽  
Alain Yelnik ◽  
Philippe Orcel ◽  
Johann Beaudreuil

2021 ◽  
Author(s):  
Mohsen Sadeghi-Yarandi ◽  
Mohammad Ghasemi ◽  
Ali Ghanjal ◽  
Mojtaba Sepandi ◽  
Ahmad Soltanzadeh

Abstract Background: Chronic low back pain is one of the most common musculoskeletal disorders in different countries that people of any age can experience many times. This study aimed to predict the chronicity of non-specific acute and sub-acute LBP and related risk factors among cases referred to physiotherapy clinics.Methods: This case-control study was performed among 420 patients suffered from acute, sub-acute and chronic LBP referred to two physiotherapy centers in Tehran-Iran in 2020. Data were obtained using the Fear-Avoidance Beliefs Questionnaire (FABQ), Patient Health Questionnaire (PHQ-9), Pain Catastrophic Scale (PCS-13), Tampa Scale for Kinesiophobia (TSK-11), Pittsburgh Sleep Quality Index (PSQI), Walker's Health-Promoting Lifestyle Questionnaire, Roland Morris Disability Questionnaire (RMDQ) and Numerical Pain Rating Scale (NPRS). Data analysis was performed by applying independent sample t-test, chi-square, and multiple logistic regression in SPSS software version 25. IBM Amos version 22 was employed for path analysis.Results: The mean age and body mass index in all patients were 43.94 ± 6.72 years and 25.69 ± 3.54 kg.m-2, respectively. It was found that some demographic parameters (i.e. weight, BMI, job, type of occupational task performance, history of low back pain, work shift, underlying diseases and income), some cognitive parameters ( i.e. fear-avoidance beliefs, kinesiophobia, catastrophic pain, and depression), some lifestyle parameters (i.e. health responsibility, physical activity and interpersonal relationships), sleep quality and pain related disability were among the most critical risk factors in the chronicity of acute and sub-acute LBP (P < 0.05).Conclusion: Personal, psychological, and psychosocial parameters can be among the most critical predictors in the chronicity of acute and sub-acute non-specific LBP. Hence, paying attention to all the mentioned factors at the beginning of patients' treatment to create a targeted treatment algorithm and prevent the conversion of acute and sub-acute into chronic LBP has particular importance.


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