Oxidative Stress Clinical Trial
Official title:
Oxidative Stress Expression and Metabolic Imbalance in Critically Ill Polytrauma Patients and the Implications of Antioxidant Therapy on Clinical Outcomes
Critically ill polytrauma patients have a number of physiological disorders secondary to trauma, such as systemic inflammatory response (SIRS), adult respiratory distress syndrome (ARDS), sepsis, oxidative stress (OS), and finally the multiple organ dysfunction syndrome (MODS). Another important aspect in terms of clinical outcome is the energy-metabolic status. Numerous studies have shown that implementing antioxidant therapy, capable of reducing the expression of pro-oxidative, pro-inflammatory and energetic-metabolic status, the mortality rate in critical patients decreases statistically significant. In this research paper, will be implemented a multimodal monitoring protocol that covers the use of biochemical, genetics and epigenetics biomarkers and the use of non-invasive medical devices to assess and monitor critical polytrauma patient. Also will be optimized the antioxidant treatment plan according to the needs of each patient.
1. Objectives The project aims the integration for the first time in Romania of modern
monitoring equipment for pro-oxidative, pro-inflammatory status and the
energetic-metabolic necessary specific to the departments of anesthesia and intensive
care, the clinical and laboratory data, genetic / epigenetic analyzes and existing
information for the modulation and optimization of the intensive care for polytrauma
patients. This way, the prospect of developing a decision support module for doctors to
improve indices of mortality and morbidity in this area will be created. Reducing
mortality and increasing quality of care is possible by providing a modern and complex
monitoring system for critically ill polytrauma patient followed essentially by the
acquisition, interpretation and synthesis in time of these biological signals and
correlation with other clinical and laboratory data useful in modulating intensive care.
The general objectives are to develop new areas of research in accordance with the
trends of international research and with the economic and social romanian and european
requirements by creating a integrated, innovative protocol with the improvement in the
indices of mortality and morbidity in the intensive care of trauma patient through
multimodality monitoring procedures and modulating intensive care management
continuously in order to improve the public health system.
The specific objectives of the study are the integration of modern methods for
monitoring and optimizing therapeutic management depending on the individual patient
(individualized management of intensive care); calculating severity and risk scores,
both in the first 24 hours and continuously, providing medical decision support tools in
real time; developing in an ergonomic, dynamic and standardized for viewing local and
remote way the intensive care protocol modulated after modern techniques for
non-invasive monitoring and cost-effective in the long term.
Advantages of multimodal monitoring of pro-oxidative, pro-inflammatory and
energetic-metabolic status through conventional laboratory analyzes, genetic /
epigenetic analyzes and indirect calorimetry is represented by the particularly low time
for obtaining the results, but also the pool of information brought on regarding the
clinical status of these patients. Moreover, secondary it is possible to implement an
intensive care that is modulated individually that reflects both on clinical outcome of
the patient and the costs. Not least by obtaining a genetic array of specific
pathophysiology's polymorphisms (SIRS, sepsis, ARDS, MODS) early and targeted therapies
can be implemented that can significantly reduce mortality rates.
2. Impact The direct beneficiaries of the study are represented by physicians Department of
Anesthesia and Intensive Care County Hospital Emergency "Pius Brinzeu" Timisoara that
will have a very useful tool in clinical practice and research with direct impact on
patient outcomes (approx. 3000 patients / year). Also, the entire local medical and
scientific community: doctors, medical researchers and teachers. Through
interdisciplinary nature of the specialty of anesthesia and intensive care, direct
beneficiaries of research results in this area are represented by physicians from a wide
range of medical specialties: surgery, neurosurgery, cardiology, infectious diseases,
orthopedics and traumatology, clinical biology, genetics and so on. They will retrieve
new information brought by research, will implement and apply it themselves on a new
target groups of patients, thus expanding the distribution area of potential
beneficiaries. Lastly, the economic environment through technology transfer from
research results to other clinical and experimental centers.
The indirect beneficiaries are represented by patients who will benefit directly from
the implementation of the clinical trial results of research in anesthesia and intensive
care: patients from clinics in the country and possibly abroad. Local and regional
community - by improving the quality of medical services for the community, increased
quality of life and level of economic and social reintegration of former patients. Local
administration by savings from the local budget allocated to health with the
implementation of new techniques and thus through reducing hospitalization time in the
intensive care unit of these patients.
3. Statistical analysis Statistical analyzes will be carried out with specially designed
computer equipment such as Prism 6 for Mac OSX v.6.0 (GraphPad Software, Inc., San
Diego, CA) and Microsoft Office Excel (Microsoft Corporation, Bucharest, Romania).
Statistical analysis of data recorded in the database will be to calculate frequencies
and percentages for quantitative variables. Also, for the quantitative variables, the
results will be expressed as the mean and standard deviation. Statistical comparisons
used for test environments will be calculated with the unpaired t-test and for
statistical comparisons used percentages using Chi square test. Statistical significance
will be defined at p <0.05.
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