Modulation of General Anesthesia Using Entropy and Surgical Pleth Index

Objectives

The project aims to aid to the Romanian healthcare system, by assuring new modernized monitoring equipment, specific for the department of anaesthesia and intensive care, for both clinical and paraclinical data, as well as for the existing information for modulation and optimizing of the general anaesthesia used in critically ill polytrauma cases based on modern techniques, such as entropy, and surgical pleth index (SPI). In this way, it aims to create a new prospect of developing a model, which will help the physicians in the decision-making process, hoping to improve the stats in the high morbidity and mortality rates in this specific field of medicine.

Reducing the mortality and increasing the quality of the provided medical services is possible by assuring a modern monitoring system, because critically ill patients should be observed through complex techniques. Furthermore, interpretation and timely synthesis of the biological signals and their correlation with other clinical and laboratory data are useful in modulating general anesthesia in the critically conditions.

General objectives comprise of developing a new research field regarding the international standards of research and combating the economic and social needs of Romania and Europe, by creating a complete protocol, which is innovative and helpful in improving the mortality and morbidity index for polytrauma patients admitted in the intensive care unit (ICU), by means of better monitoring procedures and modulating the anaesthesia and therapeutic management, therefore increasing the efficiency of the public health care system.

The specific objectives of the study are to represent the integration of modern anesthesia methods used for monitoring and optimizing the management of anesthesia and therapy options, depending on each patient as an individual; calculating the severity scores and risk factors, both in the first 24 hours as well as continuously, providing support instruments designed to add to the medical decision making process, and make it possible in a very short time, developing an ergonomic mode, dynamic and standardized viewing of local and distant perioperative anesthetic protocols, modulated by non-invasive modern techniques for anaesthesia monitoring.

Measurements:

All the patients enrolled in the study will have a monitoring sheet from the start, which will contain details regarding the following: a) Demographic data: age, sex, BMI (registered at the time of admission); b) Clinical data: ASA score, ISS score, APACHE II score, trauma mechanism, type of surgical intervention (registered at the time of admission); c) Laboratory data: EAB parameters, complete blood count, fibrinogen, ESR, PCR, total bilirubin (T0 - before orotracheal intubation, T1 - at extubating, T2 - at 24 hours post-operatively, T0 - before orotracheal intubation, T2 - at 24 hours post-operatively; d) Clinical parameters: heart rate, mean blood pressure, SpO2 plethysmography, EtCO2 capnography, entropy, SPI, axillary skin temperature probe, diuresis (T0 - before orotracheal intubation, at an interval of 15 minutes perioperative, T1 - at extubating); e) Perioperative events: hypotension, bradycardia, bronchospams, SpO2 drop (desaturation) lower than 90% via pulse oximetry (Every event should be noted in the monitoring sheet of the study); f) Events related to intubation: laryngospasms, failed intubation, tissue injury resulting from difficult intubating conditions, postoperative airway complications due to difficult intubation (Every event should be noted in the monitoring sheet of the study). The database officer should register all the patient data relevant for the study in electronic format including all details noted in the monitoring sheet.

Statistical Analysis:

For statistically analysis of the study, in concordance to these objectives, a series of statistical tests were utilized which can satisfy all the statistical objectives of the study. For analysis if the normal distributions of continuous data, the Kolmogorov-Smirnov test will be utilized. Similarly, data with a normal distribution were compared using the Student t test and presented as mean with SD. Last but not the least, data with an inhomogeneous distribution will be compared using the Mann-Whitney U test and presented as median. Nominal data will be compared using the chi-square test. For highlighting the statistical differences, a P value less than 0.05 was considered as significant. The statistical analysis of data will be performed computerized with the programs Microsoft Office Excel for Mac 2011 v.14.4.7. (Microsoft Corporation, Bucharest, Romania) and Prism 6 for Mac OS X v.6.0. (GraphPad Software, Inc., San Diego, CA). This analysis consisted, in the calculation of frequencies and the percentages for qualitative variables, as well as the calculation of the arithmetic means and the standard deviations for quantitative variables. The statistical estimation of the results was performed using the criteria decision of the statistical test. Similarly, the lot will be further statistically analyzed for determining the heterogeneity/homogeneity in between the groups. Similarly, for increasing in the transparency between the different groups, patients will be divided into more groups, as presented in this study.