REVIEW OF MEDICAL JOURNAL ARTICLE

Review of medical journal article



Review of medical journal article

Journal Review

The following report is the critical analysis of a medical journal article "effect of increased body mass index and anaesthetic duration on recovery of protective airway reflexes after sevoflurane vs desflurane" published in 2010 in British Journal of Anaesthesia vol. 104 (2): 175-82.

Objective

The research objective of the current article is to find the significant impact caused by increased BMI and anaesthetic duration on recovery of protective airways subsequent to sevoflaure opposed to desflurane.

Background

Increased BMI may increase the body's capacity to store potent inhaled anaesthetics, more so with more soluble agents. For anesthesia means a moderately increased BMI is usually no increased risk. In the multivariate linear regression, the variables: type of anesthesia, duration of anesthesia, body mass index and temperature of the operating room were directly related to the average body temperature of the subjects investigated. Nurses are responsible for planning and implementing effective interventions that help to minimize costs and most importantly reduce complications associated with hypothermia.

Methods

Quantitative methodological approach was adopted for the conduct of the study, which follows a non-experimental research, correlation and forecasting. Sampling is the first and foremost step of conducting a research. It is important to find out all those people who will be able to provide the information that will be used by the manager of organization. Sampling form the basis of all researches and thus the organization conducting research must be very careful in selecting a sample.

The research study analyzed the sample of patients aged 18-75, in BMI ranges 18-24, 25-29, and =30 kg m-2, undergoing surgery for which an LMA was the planned method of airway management, and randomly assigned these patients to receive sevoflurane or desflurane.

Statistical analysis

T-test, Chi-square, ANOVA, and linear regression were used in the research. For the purpose of hypothesis testing, independent Sample T test is performed on the provided data. By applying the t-test for independent samples, we can decide whether two independent samples from two populations have equal arithmetic mean values i.e. to find the significant difference between the sample means.

Results

The T-test has been performed on 95% level of confidence and the hypothesis is tested on 5% level of significance. In the independent sample T test, we first analyze the value of Levene's Test for Equality of Variances. Levene's Test for Equality of Variances performs two tests i.e. Equal variance assumed & Equal variance not assumed. If the sig-value of 1st test i.e. Equal variances assumed is greater than 0.05 then we further move to t-test for Equality of Means and analyze the sig-value. In the above test the sig-value of Levene's Test for Equality of Variances, the test of equal variances assumed is accepted because the sig-value is greater than 0.05 (.610). In the section of T-test the two tailed sig-value is less than 0.05 which shows that the null hypothesis is rejected on the basis of level of significance.

ANOVA calculated the dispersion around the average - based on ...