Ethical clearance was obtained from the Institutional Human Ethics Committee. The study group consists of patients admitted to the hospital with clinically diagnosed stroke during the period January 2015-2016. The control group consisted of apparently healthy volunteers selected from the master health checkup department.
The medical records of the study participants were analyzed, and data collected include age, gender, lipid profile parameters (total cholesterol, HDL, LDL and triglyceride levels), and the number of days of hospital stay for stroke patients.
All parameters were estimated using dedicated kits and reagents in autoanalyzer. Lipid indices were calculated using following formulae:
AIP = Log (serum triglyceride/serum HDLc),
CRI-I = Serum total cholesterol/serum HDLc,
CRI-II = Serum LDL cholesterol/serum HDLc,
AC = (Serum total cholesterol−serum HDLc)/serum HDLc,
NHC = Serum total cholesterol-serum HDLc.
All statistical analysis was performed with SPSS version 19. Data were expressed as mean ± standard deviation (SD). For comparison of variables, statistical test was done using Mann-Whitney U-test for skewed distribution and chi-square test for categorical variables. Odds ratio and 95% confidence interval was calculated. Factors found to be significant in the univariate analysis were subjected to logistic regression analysis. P < 0.050 was considered as statistically significant.
The medical records of the study participants were analyzed, and data collected include age, gender, lipid profile parameters (total cholesterol, HDL, LDL and triglyceride levels), and the number of days of hospital stay for stroke patients.
All parameters were estimated using dedicated kits and reagents in autoanalyzer. Lipid indices were calculated using following formulae:
AIP = Log (serum triglyceride/serum HDLc),
CRI-I = Serum total cholesterol/serum HDLc,
CRI-II = Serum LDL cholesterol/serum HDLc,
AC = (Serum total cholesterol−serum HDLc)/serum HDLc,
NHC = Serum total cholesterol-serum HDLc.
All statistical analysis was performed with SPSS version 19. Data were expressed as mean ± standard deviation (SD). For comparison of variables, statistical test was done using Mann-Whitney U-test for skewed distribution and chi-square test for categorical variables. Odds ratio and 95% confidence interval was calculated. Factors found to be significant in the univariate analysis were subjected to logistic regression analysis. P < 0.050 was considered as statistically significant.
Free full text: Click here
