Abstract

Knowing the frequency of spasticity patterns in different muscles allows correcting the botulinum neurotoxin (BoNT) administration schemes and creating spasticity models that could predict the drug consumption and treatment cost.Objective: to develop clinical spasticity models based on the frequencies of the spastic syndrome in the muscles of the extremities in post-stroke patients to optimize BoNT administration.Patients and methods. We examined 129 patients of both sexes aged 61.2±8.0 years with post-stroke spasticity (mean time after the stroke – 4.6±2.2). Twenty-seven muscles were tested for spasticity: shoulder girdle (n=3), upper (n=9) and lower (n=15) extremities. We used the original manual testing methods (MTM) of spasticity and the Tardieu scale (TS).Results and discussion. We observed the following frequencies of spasticity in the arm muscles: pectoralis major, brachioradialis, pronator teres, fl. carpi radialis, fl. digitorum profundus et superfacialis, fl. pollicis long. – over 70%, subscapularis – 61%, brachialis – 56.6%, biceps brachii – 35.8%. Frequencies of spasticity in the leg muscles were: semitendinosus, semimembranosus, fl. digitorum long. – 37.5%, gracilis – 21.4%, cap. med. gastrocnemius – 48%, tibialis post. – 39.2%, soleus – 19.6%, fl. halluces long. – 23%. There was no spasticity in the hip adductors; low spasticity incidence was seen in fl. digitorum brev. et fl. halluces brev. (<10%), tibialis ant., rectus femoris (<5%); biceps femoris, teres major, fl. carpi ulnaris, and cap. lat. gastrocnemius (<2%). Based on the frequency of identified spastic patterns, we created four models of patients with arm spasticity and five models – with leg spasticity with the calculation of the necessary doses of BoNT.Conclusion. We propose several spasticity models, which allow calculating the treatment costs, considering the frequency of involvement of specific muscles in spasticity evaluation, and tracking the rehabilitation follow-up of the patient's transition from one clinical model to another.

Highlights

  • Objective: to develop clinical spasticity models based on the frequencies of the spastic syndrome in the muscles of the extremities in post-stroke patients to optimize botulinum neurotoxin (BoNT) administration

  • We examined 129 patients of both sexes aged 61.2±8.0 years with post-stroke spasticity

  • There was no spasticity in the hip adductors; low spasticity incidence was seen in fl. digitorum brev. et fl. halluces brev. (

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Summary

ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ И МЕТОДИКИ

Синдром спастичности при церебральной патологии: диагностика и клинические модели. Коваленко А.П.1, Вознюк И.А.1, 2, Мисиков В.К.3 1ФГБВОУ ВО «Военно-медицинская академия им. Цель исследования – на основании оценки частоты развития спастического синдрома в мышцах конечностей у пациентов после инсульта разработать клинические модели синдрома спастичности для применения препаратов БоНТ. Получены следующие данные о частоте встречаемости спастичности в мышцах руки: pectoralis major, brachioradialis, pronator teres, fl. На основании выявленной частоты встречаемости спастичности созданы четыре модели пациентов со спастичностью в руке и пять моделей со спастичностью в ноге с расчетом необходимых доз препаратов БоНТ. Objective: to develop clinical spasticity models based on the frequencies of the spastic syndrome in the muscles of the extremities in post-stroke patients to optimize BoNT administration. We observed the following frequencies of spasticity in the arm muscles: pectoralis major, brachioradialis, pronator teres, fl. Frequencies of spasticity in the leg muscles were: semitendinosus, semimembranosus, fl. Based on the frequency of identified spastic patterns, we created four models of patients with arm spasticity and five models – with leg spasticity with the calculation of the necessary doses of BoNT

Conclusion
Adductor brevis
Gastrocnemius Soleus Tibialis posterior Tibialis anterior
Flexor halucis brevis
Невозможность отведения плеча и вытягивания руки
Findings
Редко сочетание длинных и коротких сгибателей
Full Text
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