Fig. 1 Study inclusion flow chart Table 1 Demographic information Variable N Mean (SD) Min Max Age 470 53.6 (13.5) 16 91 BMI 307 26.5 (4.5) 18.3 41.5 Males 265 (56.4%) Females 205 (43.6%) Number of patients, mean and standard deviation included in each calculated variable with ranges for age and BMI BMI body mass index, N number, SD standard deviation.
Developed from meta-analysis in 1992, the Prognosis After Resuscitation (PAR) score consists of seven, relatively straight-forward to calculate, variables with scores greater than 5 predicting nonsurvival [ 1].
All measured data and calculated variables improved with the active diet and remained so at follow-up (Table 1 and Fig. 2).
Univariate and multivariate logistic and linear regression analysis were used for calculating variables influencing CRM extension, with CRM as a continuous variable in millimeters.
Mean with standard deviation and range was calculated for variables with normal distribution and median with interquartile range (IQR) calculated for variables with non-normal distribution.
Missing data were also calculated and variables with more than 10%% missing data were discarded.
Matched odds ratios were calculated and variables with p<0.2 were considered for the conditional logistic regression model by using EpiInfo 3.3.2 (Centers for Disease Control and Prevention, Atlanta, GA, USA) and SAS statistical package version 8 (SAS Institute, Cary, NC, USA).
The error rate without variable selection is 0.3392 for the top-ranked SNP, and it dramatically decreases to 0.1171 with top 116 SNPs, which is almost same as the error rate that was calculated with variable selection with top 116 SNPs.
Fig. 5 Post-shut-in behaviour of seismicity, with diffusivity of 1.0 and 0.1 m2/s, calculated with CPT with variable (C_{text{CPT}}) (blue 1 kPa; green 5 kPa; red 20 kPa) for pressure dropping to zero at 70 h after start of injection.
There was no significant difference (alpha = 0.05) between baseline and follow-up across sample characteristics.> -wrap-foot> Percent is calculated with variable grouping [e.g. males at baseline, 36/ (36 + 118) = 23.4 %] No significant differences were present across sample characteristics from baseline to follow-up using chi sq.
