A Cross Sectional Study of Incidence of Alcohol Consumption in Patients Admitted with Traumatic Injury in the Department of Surgery, Maharaja Yashwant Rao Hospital, Indore

BACKGROUND The number of trauma cases is increasing day by day in our setup. Daily 10-15 patients of trauma came to MYH, we found that among these patients many patients have under the influence of alcohol. Alcohol consumption is the leading cause of trauma and reason for visitation to emergency department. We wanted to prospectively study the incidence of alcoholism in victims of trauma admitted in Dept of surgery, MYH Indore and correlate the severity of trauma in relation to blood alcohol concentration. METHODS This cross sectional study conducted at Maharaja Yashwant Rao Hospital from January 2019 to march 2020 and it includes all patients 16 years and above with traumatic injury admitted in Department of Surgery. Breath analyzer test will be done on all patients and levels will be documented. RESULTS In our study head injury (73.6 %) was the most common type of injury in which breath analyzer testing was found positive in 82 %,followed by burn (12.7 %) in which breath analyzer testing was found positive in 2.1 %, followed by poly trauma (4 %) in which breath analyzer testing was found positive in 4.3 %, followed by blunt trauma chest (2.4 %) in which breath testing was found positive in 2.7 %, followed by limbs (0.7 %) in which breath analyzer testing was found positive in 0.9 %. CONCLUSIONS In our study we have found that out of total 3105 patients history of alcoholism is present in 1420 patients while breath alcohol analyzing test positive in 2072 patients and there is significance relationship between trauma and history of alcoholism with the p value of <0.0001. We also found that significant relationship between trauma and breath alcohol analyzing testing with the p value of <0.0001. KEYWORDS Glasgow Coma Scale, Blood Alcohol Concentration, Road Traffic Accidents, Emergency Department, Breath Analyzer

Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnostics and Utilization of Calibration Transfer Methods in Breath Analysis Studies

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment consists of classifying breath samples from 15 subjects before and after eating a specific meal using three instruments. We investigate the possibility to transfer calibration models across instruments using transfer samples from the experiment under study, since representative samples of human breath at some conditions are difficult to simulate in a laboratory. For example, exhaled breath from subjects suffering from a disease for which the biomarkers are mostly unknown. Results show that many transfer samples of all the classes under study (in our case meal/no meal) are needed, although some CT methods present reasonably good results with only one class.

Design and Simulation of Metal Oxide Gas Sensor for Breath Analyzer Application

Metal oxide semiconductor has been widely used for breath analyzer applications. In this work, Acetone gas is the target gas as it an important breath marker for diabetes disease. Among the different p-type metal oxide nanostructures, Nickel oxide nanospheres are used as the sensing material as it is a promising candidate for Acetone sensing. The variation of resistance of the sensing material with the concentration of the target gas was analyzed. As Acetone is a reducing gas, the resistance of the sensing layer was found to increase when the sensing layer was exposed to the target gas. The simulation was done using COMSOL Multiphysics.

Reflexive Engine to Lock the System for Driving While Intoxicated – Simulation by Using LabVIEW

<p><strong>Drunken driving is a major issue due to which many road accidents are occurring. To overcome this many researches are going on and we also tried to develop a reflexive engine locking system In this paper we have developed a system through which when a person tries to drive by consuming alcohol will experience a automatic engine lock. By implementing this we can save lives of passengers as well as pedestrians and other people too. Today situation is worsening like for every thirty minutes accidents are happening and taking lives of many innocent people. To avoid this we are trying to implement a prototype for alcohol detection for drunk and drive. Based on threshold set, alcohol breath analyzer sense level of alcohol consumed by the driver and if it crosses the limit set it will automatically locks the engine. Due to drowsiness of driver and consumption of alcohol more number of accidents are happening. Because of this more lives are at risk. This design implements a model which saves lives of people inside and outside the vehicle.</strong></p><p><strong> </strong></p>