DATA COLLATION AND ANALYSIS Sample Clauses

DATA COLLATION AND ANALYSIS. The data was collected from the laboratory analysers and entered directly onto a master Excel spread sheet. The derived parameters, creatinine clearance, BMI and lean body weight were calculated from the raw data using the equations below. Creatinine clearance was estimated using the Xxxxxxxx-Xxxxx equations: (Xxxxxxxxx & Xxxxxx, 1976) For males: (140-age) x weight, kg x 1.23 creatinine, µmol/L For females: (140-age) x weight, kg x 1.04 creatinine, µmol/L The Xxxxxxxx-Xxxxx equations take into account weight and age and have been shown to have the least discordance rates as compared to the gold standard of a timed 24 h urine collection method for calculating the actual creatinine clearance (CrCL). (Xxxxxxxxx et al, 2016) Glomeular filtration ate (GFR) is the flow rate of filtered fluid through the kidney, and CrCL is the volume of plasma cleared of creatinine pe unit time. CrCL is the standard used for drug dosing and it is a useful measurement for approximating GFR. It is not feasible to collect urine over 24 h for every patient, in order to calculate the creatinine clearance. The estimated GFR from other methods, such as the Modification of diet in renal disease study (MDRD), does not take into account weight, is only validated for chronic kidney disease and it underestimates GFR in healthy subjects. The value for weight which was used in this situation was lean body weight (LBW). The lean body weight was calculated for each individual, using the formulae: (Han et al. 2007) For males: 9270 x actual body weight 6680 + (216 x BMI) For females: 9720 x actual body weight 8780 + (244 x BMI) A master spread sheet for every relevant data point was created on excel. The demographic data was originally noted down on the patient record sheets at the time of the study investigation, then transferred to excel, creating numerical values for certain categorical data such as ethnicity and sex. The numerical continuous data were inputted directly into excel and for some of these data sets, categorical groups were created either according to known data groups, such as WHO BMI categories, or determined by the graphical representation of the histograms, such as time after dose. Data was pasted from excel into PRISM with no alterations, for initial statistical analysis and graphical representation. The data from excel was organised into cases in IBM SPSS Statistics for Windows, version 26 (IBM Corp., Armonk, N.Y., USA), firstly by defining the characteristics of the variabl...
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Related to DATA COLLATION AND ANALYSIS

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