• Something wrong with this record ?

Quantitative gait analysis of patients with severe sacroiliac joint dysfunction: a prospective clinical study

J. Lodin, M. Jelínek, J. Procházka, M. Sameš, P. Vachata

. 2023 ; 67 (6) : 694-701. [pub] 20210803

Language English Country Italy

Document type Journal Article

BACKGROUND: Sacroiliac joint (SIJ) dysfunction is a chronic painful condition responsible for up to 30% of back pain. Treatment modalities include physiotherapy, intraarticular analgesic injections, ablation techniques or SIJ fusion. The severity of SIJ dysfunction is commonly assessed via subjective pain or disability scales. Quantitative gait analysis offers an objective means of evaluating patients with SIJ dysfunction prior to its surgical treatment. METHODS: Ten patients diagnosed with severe SIJ dysfunction were matched with 10 healthy controls. All individuals underwent quantitative 3D gait analysis using the Qualisys program and statistical analysis was performed to identify significant differences in gait parameters between the two groups. RESULTS: Two groups of data were obtained; angular parameters described by the Gait Profile Score (GPS) and spatiotemporal parameters described in standard SI units. Statistically significant differences were found between the patient and control group for parameters: overall GPS (P=0.049), hip abduction/adduction (P=0.017) and ankle plantar/dorsal flexion (P=0.003), stride length (P=0.002), step length (P=0.001), swing time (P=0.03) and initial double limb support (P=0.02). CONCLUSIONS: This paper is the first to perform complex quantitative gait analysis of patients with SIJ dysfunction and to compare it with healthy individuals. These results can provide clinicians with baseline gait values for these patients to objectively quantify the extent of their disease.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24000571
003      
CZ-PrNML
005      
20240213093252.0
007      
ta
008      
240109s2023 it f 000 0|eng||
009      
AR
024    7_
$a 10.23736/S0390-5616.21.05448-5 $2 doi
035    __
$a (PubMed)34342204
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a it
100    1_
$a Lodin, Jan $u Department of Neurosurgery, Masaryk Hospital, J. E. Purkyně University, Ústí nad Labem, Czech Republic - jan.lodin@kzcr.eu $u Faculty of Medicine in Plzeň, Charles University, Plzeň, Czech Republic - jan.lodin@kzcr.eu
245    10
$a Quantitative gait analysis of patients with severe sacroiliac joint dysfunction: a prospective clinical study / $c J. Lodin, M. Jelínek, J. Procházka, M. Sameš, P. Vachata
520    9_
$a BACKGROUND: Sacroiliac joint (SIJ) dysfunction is a chronic painful condition responsible for up to 30% of back pain. Treatment modalities include physiotherapy, intraarticular analgesic injections, ablation techniques or SIJ fusion. The severity of SIJ dysfunction is commonly assessed via subjective pain or disability scales. Quantitative gait analysis offers an objective means of evaluating patients with SIJ dysfunction prior to its surgical treatment. METHODS: Ten patients diagnosed with severe SIJ dysfunction were matched with 10 healthy controls. All individuals underwent quantitative 3D gait analysis using the Qualisys program and statistical analysis was performed to identify significant differences in gait parameters between the two groups. RESULTS: Two groups of data were obtained; angular parameters described by the Gait Profile Score (GPS) and spatiotemporal parameters described in standard SI units. Statistically significant differences were found between the patient and control group for parameters: overall GPS (P=0.049), hip abduction/adduction (P=0.017) and ankle plantar/dorsal flexion (P=0.003), stride length (P=0.002), step length (P=0.001), swing time (P=0.03) and initial double limb support (P=0.02). CONCLUSIONS: This paper is the first to perform complex quantitative gait analysis of patients with SIJ dysfunction and to compare it with healthy individuals. These results can provide clinicians with baseline gait values for these patients to objectively quantify the extent of their disease.
650    _2
$a lidé $7 D006801
650    12
$a sakroiliakální kloub $x chirurgie $7 D012446
650    _2
$a analýza chůze $7 D000077107
650    _2
$a prospektivní studie $7 D011446
650    12
$a nemoci páteře $x chirurgie $7 D013122
650    _2
$a bolest $7 D010146
655    _2
$a časopisecké články $7 D016428
700    1_
$a Jelínek, Marek $u University of Jan Evangelista Purkynje, Ústí nad Labem, Czech Republic
700    1_
$a Procházka, Jan $u Department of Anesthesiology, Perioperative Medicine and Intensive Care, Chronic Pain Therapy Center, Masaryk Hospital, J. E. Purkyně University, Ústí nad Labem, Czech Republic
700    1_
$a Sameš, Martin $u Department of Neurosurgery, Masaryk Hospital, J. E. Purkyně University, Ústí nad Labem, Czech Republic
700    1_
$a Vachata, Petr $u Department of Neurosurgery, Masaryk Hospital, J. E. Purkyně University, Ústí nad Labem, Czech Republic $u Faculty of Medicine in Plzeň, Charles University, Plzeň, Czech Republic
773    0_
$w MED00008136 $t Journal of neurosurgical sciences $x 1827-1855 $g Roč. 67, č. 6 (2023), s. 694-701
856    41
$u https://pubmed.ncbi.nlm.nih.gov/34342204 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20240109 $b ABA008
991    __
$a 20240213093249 $b ABA008
999    __
$a ok $b bmc $g 2049312 $s 1210265
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2023 $b 67 $c 6 $d 694-701 $e 20210803 $i 1827-1855 $m Journal of neurosurgical sciences $n J Neurosurg Sci $x MED00008136
LZP    __
$a Pubmed-20240109

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...