3 research outputs found
Π‘ΠΠ§ΠΠ’ΠΠΠΠΠ― ΠΠΠΠ‘Π’ΠΠΠΠ― ΠΠ Π Π ΠΠΠΠΠ¦ΠΠ ΠΠΠΠΠΠ₯
In order to improve outcomes of surgical treatment of thoracic diseases, the peri-operative protection is to be constantly enhanced. Goal: to assess the effect of combined anesthesia with thoracic epidural analgesia in the peri-operative period on hemodynamics and respiratory exchange during radical pulmonary surgery. Subjects and methods. The prospective randomized study was performed aiming to assess the effect of various options of anesthesia in 46 patients who had planned radical pulmonary surgery. The patients were randomly divided into two groups. Group 1 (n = 23) had combined anesthesia. Analgesia was provided through segmental epidural block on the level of Th4 βTh5 by intermittent bolus dosing of 0.75% solution of ropivacaine (0.7-0.8 mg/kg) and fentanyl (1.3-1.5 mcg/kg), and during the surgery, the mixture of 0.02% solution of ropivacaine and fentanyl (4 mcg/kg) was continuously infused at the rate of 4-6 ml/h. In Group 2 (n = 23), analgesia was provided by infusions of fentanyl, epidural analgesia was used in the post-operative period as a component of multi-modal post-operative pain relief. In both groups, the cortical component was provided by the low-flow inhalation of sevoflurane under BIS monitoring. Pipecuronium bromide solution was intermittently administered in order to provide muscle relaxation. Conclusion. The positive impact on hemodynamics and respiratory exchange was observed when using combined anesthesia based on thoracic epidural analgesia and inhalation anesthesia with sevoflurane.Β ΠΠ»Ρ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΡ ΡΠΎΡΠ°ΠΊΠ°Π»ΡΠ½ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠ΅ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΡ
ΠΏΠ΅ΡΠΈΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π·Π°ΡΠΈΡΡ. Π¦Π΅Π»Ρ: ΠΎΡΠ΅Π½ΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π³ΡΡΠ΄Π½ΠΎΠΉ ΡΠΏΠΈΠ΄ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΡΠ³Π΅Π·ΠΈΠΈ Π² ΠΏΠ΅ΡΠΈΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ Π½Π° Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΠΈ Π³Π°Π·ΠΎΠΎΠ±ΠΌΠ΅Π½ ΠΏΡΠΈ ΡΠ°Π΄ΠΈΠΊΠ°Π»ΡΠ½ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΡΡ
Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π°Ρ
Π½Π° Π»Π΅Π³ΠΊΠΈΡ
. ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ Ρ 46 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΏΠ΅ΡΠ΅Π½Π΅ΡΡΠΈΡ
ΡΠ°Π΄ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠ΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠ΅ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²ΠΎ Π½Π° Π»Π΅Π³ΠΊΠΈΡ
Π² ΠΏΠ»Π°Π½ΠΎΠ²ΠΎΠΌ ΠΏΠΎΡΡΠ΄ΠΊΠ΅, Π½Π° ΠΏΠ΅ΡΠΈΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠΉ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ Π³Π°Π·ΠΎΠΎΠ±ΠΌΠ΅Π½Π°. ΠΠΎΠ»ΡΠ½ΡΠ΅ ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π½Π° Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ. Π 1-ΠΉ Π³ΡΡΠΏΠΏΠ΅ (n = 23) Π°Π½Π΅ΡΡΠ΅Π·ΠΈΡ Π±ΡΠ»Π° ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ. Π€ΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π°Π½Π°Π»ΡΠ³Π΅Π·ΠΈΠΈ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ°ΡΠ½ΠΎΠΉ ΡΠΏΠΈΠ΄ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π±Π»ΠΎΠΊΠ°Π΄ΠΎΠΉ Π½Π° ΡΡΠΎΠ²Π½Π΅ Th4 βTh5 Π΄ΡΠΎΠ±Π½ΡΠΌ Π±ΠΎΠ»ΡΡΠ½ΡΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ΠΌ 0,75%-Π½ΠΎΠ³ΠΎ ΡΠ°ΡΡΠ²ΠΎΡΠ° ΡΠΎΠΏΠΈΠ²Π°ΠΊΠ°ΠΈΠ½Π° (0,7β0,8 ΠΌΠ³/ΠΊΠ³) ΠΈ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° (1,3β1,5 ΠΌΠΊΠ³/ΠΊΠ³), Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΡ ΠΈΠ½ΡΡΠ·ΠΈΡ ΡΠΌΠ΅ΡΠΈ 0,2%-Π½ΠΎΠ³ΠΎ ΡΠ°ΡΡΠ²ΠΎΡΠ° ΡΠΎΠΏΠΈΠ²Π°ΠΊΠ°ΠΈΠ½Π° ΠΈ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° (4 ΠΌΠΊΠ³/ΠΌΠ») ΡΠΎ ΡΠΊΠΎΡΠΎΡΡΡΡ 4β6 ΠΌΠ»/Ρ. ΠΠΎ 2-ΠΉ Π³ΡΡΠΏΠΏΠ΅ (n = 23) Π°Π½Π°Π»ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ Π΄ΠΎΡΡΠΈΠ³Π°Π»ΡΡ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΌ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π°, ΡΠΏΠΈΠ΄ΡΡΠ°Π»ΡΠ½ΡΡ Π°Π½Π°Π»ΡΠ³Π΅Π·ΠΈΡ Π½Π°ΡΠΈΠ½Π°Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π² ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ° ΠΌΡΠ»ΡΡΠΈΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±Π΅Π·Π±ΠΎΠ»ΠΈΠ²Π°Π½ΠΈΡ. ΠΠΎΡΠΊΠΎΠ²ΡΠΉ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ Π² ΠΎΠ±Π΅ΠΈΡ
Π³ΡΡΠΏΠΏΠ°Ρ
Π΄ΠΎΡΡΠΈΠ³Π°Π»ΡΡ ΠΈΠ½Π³Π°Π»ΡΡΠΈΠ΅ΠΉ ΡΠ΅Π²ΠΎΡΠ»ΡΡΠ°Π½Π° Π² Π½ΠΈΠ·ΠΊΠΎΠΌ ΠΏΠΎΡΠΎΠΊΠ΅ ΠΏΠΎΠ΄ ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ BIS-ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π°. ΠΠΈΠΎΡΠ΅Π»Π°ΠΊΡΠ°ΡΠΈΡ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»Π°ΡΡ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΡΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°ΡΡΠ²ΠΎΡΠ° ΠΏΠΈΠΏΠ΅ΠΊΡΡΠΎΠ½ΠΈΡΠΌΠ° Π±ΡΠΎΠΌΠΈΠ΄Π°. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΡΠ²Π»Π΅Π½ΠΎ Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π³ΡΡΠ΄Π½ΠΎΠΉ ΡΠΏΠΈΠ΄ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΡΠ³Π΅Π·ΠΈΠΈ ΠΈ ΠΈΠ½Π³Π°Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ ΡΠ΅Π²ΠΎΡΠ»ΡΡΠ°Π½ΠΎΠΌ Π½Π° ΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΠΈ Π³Π°Π·ΠΎΠΎΠ±ΠΌΠ΅Π½.
COMBINED ANESTHESIA IN PULMONARY RESECTION
In order to improve outcomes of surgical treatment of thoracic diseases, the peri-operative protection is to be constantly enhanced. Goal: to assess the effect of combined anesthesia with thoracic epidural analgesia in the peri-operative period on hemodynamics and respiratory exchange during radical pulmonary surgery. Subjects and methods. The prospective randomized study was performed aiming to assess the effect of various options of anesthesia in 46 patients who had planned radical pulmonary surgery. The patients were randomly divided into two groups. Group 1 (n = 23) had combined anesthesia. Analgesia was provided through segmental epidural block on the level of Th4 βTh5 by intermittent bolus dosing of 0.75% solution of ropivacaine (0.7-0.8 mg/kg) and fentanyl (1.3-1.5 mcg/kg), and during the surgery, the mixture of 0.02% solution of ropivacaine and fentanyl (4 mcg/kg) was continuously infused at the rate of 4-6 ml/h. In Group 2 (n = 23), analgesia was provided by infusions of fentanyl, epidural analgesia was used in the post-operative period as a component of multi-modal post-operative pain relief. In both groups, the cortical component was provided by the low-flow inhalation of sevoflurane under BIS monitoring. Pipecuronium bromide solution was intermittently administered in order to provide muscle relaxation. Conclusion. The positive impact on hemodynamics and respiratory exchange was observed when using combined anesthesia based on thoracic epidural analgesia and inhalation anesthesia with sevoflurane
Dynamic System Transfer Function Identification Based on the Experimental Results
The paper deals with identifying linear dynamical systems from the experimental data obtained through applying the test signals to the system. The paper objective is to determine both the form and the coefficients of the transfer function retrieved from the hodograph samples experimentally at bench test. The order of the frequency transfer function of the system being identified was assumed to be unknown. It was expected that in obtaining the frequency characteristics of a real system there would be noise during the experiment as a result of which the points of the experimentally obtained hodograph would be randomly shifted. As a model, a certain transfer function of the system was adopted. The authors proposed to find a solution of the identification problem in the class of hodographs specified by the model of the system. The search for unknown coefficients of the transfer function of the system model is carried out by minimizing a proximity criterion (measure) - described and published earlier by one of the authors - between the experimentally received system hodograph and the system model on an entire set of the experimental points of the system hodograph and the hodograph of the system model. The solution of linear dynamic system identification from the frequency hodograph was reduced to solving a system of equations of the system model frequency transfer function that is linear with respect to unknown parameters.The proposed identification algorithm allows us to determine the order of the frequency transfer function of the identified system from the experimentally obtained samples of the frequency hodograph of the system. For dynamic systems of the fifth order at most there is software developed to simulate the process providing the pseudo-experimental data with random errors and determining the parameters of such systems.A computational experiment has been carried out to evaluate the error with which the proposed algorithm determines the parameter values of the system to be identified. The illustrative computational experiment has shown that using the proposed algorithm for identifying a linear dynamic system from the frequency hodograph the error in determining the coefficient values of the frequency transfer function of the system is comparable with a range of measuring error in the experimental samples of the hodograph of this system. In known sources on identification of linear dynamic systems there is no method of identification this publication describes. This identification method of linear dynamic systems can find application in experimental testing, verification tests in situ and iron bird tests for vehicles of various purposes.</p