Anesthetic prediction model in laparoscopic surgery in children

Authors

  • Eva GUDUMAC Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”
  • Lidia Dolghier Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”
  • Dmitrii STANILEVICI Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”
  • Aliona CATRINESCU Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”

DOI:

https://doi.org/10.52692/1857-0011.2022.2-73.30

Keywords:

5 anesthetize parameters, 5 periods of anesthesia, regression model, correlation analysis, Sevoflurane, rating anesthesis parameters

Abstract

Our study analyzes anesthesia with sevofluran through the prism of 5 regress models on the results of 5 anesthetic parameters, systolic pressure, diastolic pressure, pulse, respiratory frequency, oxygen saturation in the blood periferic. For the elaboration of the optimal model carried out a selection of 5 main approximation functions, including linear, logarithmic, exponential, power, polynom. A correlation analysis of the effect of Sevoflurane on all anesthetic parameters was performed. The regression model with the polynom function most accurately reflects the real situation. During laparoscopic intervention, 3 anesthesiologist parameters turned out to be informative, namely systolic pressure, pulse, respiratory rate. Sevoflurane has a significant effect on the pulse (the first place in the power of influence), on systolic pressure (the second place), on respiratory frequency (third place). Graphically, the dynamics of all optimal models with the result of the coefficient of determination is presented in detail.

Author Biographies

Eva GUDUMAC, Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”

academician AȘM, prof. univ.

Lidia Dolghier, Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”

doctor în științe medicale, conf. univ.

Dmitrii STANILEVICI , Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”

secundar clinic

Aliona CATRINESCU, Universitatea de Stat de Medicină și Farmacie „Nicolae Testemițanu”

secundar clinic

References

Aggarwal, Grantcharov T.P., Eriksen J. R., Blurup D., Kristiansen V. Funch-Jensen P., Darzi A., An evidence-based virtual reality training program for novice laparoscopic surgeons. Ann Surg 244:310–314. T.P., (2006)

Cosman P. H., Hugh H. J., Sheare C. J., Merrett N. D., Biankin A. V., Cartmill J. A., Skills acquired on virtual reality laparoscopic simulators transfer into the operating room in a blinded, randomised, controlled trial. Stud Health Technol Inform 125:76–81. (2007)

Van Dongen K. W., Tournoij E., Van der Zee D., Schijven M. P., Broeders IAMJ. Construct validity of the LapSim: can the LapSim virtual reality simulator distinguish between novices and experts Surg. Endosc. 20:1413–1417. (2007)

Rakhee Gozal,William, Francis Powell. Anaesthsia for Paediatric Laparoscopic Surgery in Paediatric Anaesthesia 417,2020:436-442 (2020)

Галеев Ф. С., Богданов Р. Р., Базыкина X. Н. и др. Сравнительная оценка параметров гомеостаза при различных типах эндоскопических операций. Материалы 8-го Всероссийского съезда анеcтезиологов. 2019.

Головкин А. С. Влияние карбоксиперитонеума на течение общей анестезии при лапароскопических операциях. Автореф. дис. канд. мед. наук. М.: 2014; 124.

Котлобовский В.И., Дронов А.Ф. Эндохирургия при аппендикулярном перитоните у детей. Российский вестник 2013; 3 (1).

Мозоров И.Д. Матричные расчеты в статистике.– М.: Финансы и статистика, 1983. – с. 107.

Большев Л.Н. Смирнов Н.В. Таблицы математической статистики. – М.: Наука. Главная редакция физико-математической литературы, 1983. – с. 50-52, с. 248.

Published

2022-11-27

Issue

Section

Research Article