Effect of spine biomechanical correction Kozyavkin’s method (INRS) on components of muscle tone in children with spastic form of Cerebral Palsy and its possible prediction
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2015-01-04Autor
Kozyavkin, V
Kozyavkina, N
Kozyavkina, O
Gordiyevych, М
Lysovych, V
Voloshyn, Т
Popovych, І
Zukow, Walery
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A clinical-physiological observations in 29 children aged 7÷16 years with spastic forms of cerebral palsy. State of Gross Motor Function was 1÷4 levels at GMFCS, the functional state of the hand (usually the left ) was 1÷4 levels at MACS, hand spasticity estimated in the range 0÷2 on a scale Åshworth (ASS). Neural component of muscle tone (N), registered device Neuroflexor, was in the range 0,48÷18,08, elastic component (E) ranging -1,80÷4,36, and its viscous component (V) ranging -0,80÷0,73. We found a strong correlation between N and ASS (r=0,74), GMFCS (r=0,66), MACS (r=0,66), whereas the correlation of these parameters E on the verge of significance (r=0,36; 0,32, 0,34), and V all with their not related (r=0,14; 0,00; -0,15). After 10-15 min after the first spine biomechanical correction Kozyavkin’ method N in 17 children decreased from 7,6±1,1 by 3,4±0,7 (p<0,001), in 4 children has not significantly changed: 2,9±1,7 to and 2,5±1,6 after correction, and in 8 cases increased from 5,8±2,1 by 2,2±0,7 (p<0,01). After a two-week course of rehabilitation by Kozyavkin’s method reducing N stated in 23 (79,3%) children from 7,6±1,0 by 6,0±0,8 (p<0,001). In 4 (13,8%) children changes were not detected: 1,6±0,6 to and 2,0±0,7 after treatment, however, in 2 cases N increased from 1,6 to 3,4 and from 4,6 to 6,1. Multiple regression equation to calculate the expected value of N as after the first correction of the spine, and after a two-week course of rehabilitation Kozyavkin’s method. The method of discriminant analysis revealed that the nature of emergency response N at correcting the spine is projected for a range of initial parameters to within 72,4% and accuracy of predictions on the nature of the reaction of N treatment is 93,1%.
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