Research Article

The Triglyceride Paradox in Stroke Survivors: A Prospective Study

Table 3

Lipids values across age, gender, NIHSS, prior statin use, mRS, and death within 3 months.

Association value

Cholesterol (mg/dL)

Age#Pearson’s ρ (95% CI)−0.13 (−0.24 to 0.03)0.0149*
Gender
 MalesMedian (IQR)4.45 (3.62 to 5.26) 0.0037*
 FemalesMedian (IQR)4.72 (4.1 to 5.4)
NIHSS#Pearson’s ρ (95% CI)0.032 (−0.08 to 0.14)0.572
Statins
 YesMedian (IQR)4.03 (3.44 to 5.02)<0.0001*
 NoMedian (IQR)4.78 (4.06 to 5.46)
mRsPearson’s ρ (95% CI)−0.056 (−0.163 to 0.052)0.31
Death within 3 months
 YesMedian (IQR)4.23 (3.16 to 4.88)0.166
 NoMedian (IQR)4.58 (3.87 to 5.33)

Triglycerides# (mg/dL)

Age#Pearson’s ρ (95% CI)−0.12 (−0.22 to 0.01)0.034*
Gender
 MalesMedian (IQR)1.37 (0.95 to 1.84) 0.6992
 FemalesMedian (IQR)1.41 (0.97 to 2.02)
NIHSS#Pearson’s ρ (95% CI)−0.16 (−0.27 to −0.05) 0.004*
Statins
 YesMedian (IQR)1.51 (1.09 to 2.21) 0.0056*
 NoMedian (IQR)1.28 (0.91 to 1.76)
mRsPearson’s ρ (95% CI)−0.128 (−0.232 to −0.021)0.02*
Death within 3 months
 YesMedian (IQR)1.05 (0.65 to 1.55) 0.0035*
 NoMedian (IQR)1.41 (1.00 to 2.01)

HDL (mg/dL)

AgePearson’s ρ (95% CI)0.09 (−0.02 to 0.196)0.1
Gender
 MalesMedian (IQR)1.16 (0.98 to 1.42)<0.0001*
 FemalesMedian (IQR)1.4 (1.18 to 1.69)
NIHSSPearson’s ρ (95% CI)0.026 (−0.08 to 0.14) 0.64
Statins
 YesMedian (IQR)1.16 (0.96 to 1.4)0.0016*
 NoMedian (IQR)1.34 (1.11 to 1.63)
mRsPearson’s ρ (95% CI)0.034 (−0.074 to 0.141)0.54
Death within 3 months
 YesMedian (IQR)1.2 (0.97 to 1.73) 0.8137
 NoMedian (IQR)1.29 (1.03 to 1.53)

LDL# (mg/dL)

Age#Pearson’s ρ (95% CI)−0.16 (−0.26 to 0.05)0.005*
Gender
 MalesMedian (IQR)2.33 (1.76 to 3.19)0.0526
 FemalesMedian (IQR)2.65 (2.1 to 3.21)
NIHSS#Pearson’s ρ (95% CI)0.067 (−0.04 to 0.18) 0.238
Statins
 YesMedian (IQR)2.1 (1.68 to 2.65)<0.0001*
 NoMedian (IQR)2.72 (2.1 to 3.39)
mRs Pearson’s ρ (95% CI) −0.056 (−0.163 to 0.053) 0.32
Death within 3 months
 YesMedian (IQR)2.41 (1.63 to 2.97)0.1797
 NoMedian (IQR)2.53 (1.98 to 3.22)

Log of variables was used to calculate the association due to their non-normal distribution.