PLEASE FIND CORRELATION BETWEEN TC TG HDL LDL VLDL BOTH RATIO WITH CYC C E GFR AND SAME PARAMETERS WITH CREATININE E GFR

Reading File
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Running Command
Here are the complete Pearson correlation results from your dataset (n = 50 patients).

Correlation of Lipid Parameters with eGFR

Formulas used:
  • eGFR (Creatinine) = MDRD: 175 × Creat^-1.154 × Age^-0.203 (×0.742 for females)
  • eGFR (Cystatin C) = Hoek: 127.7 × CysC^-1.17 × Age^-0.13 (×0.91 for females)

Table: Pearson Correlation (r) and p-values

Parameterr (CysC eGFR)p-valueSignificancer (Creatinine eGFR)p-valueSignificance
TC-0.16030.2661NS+0.00390.9785NS
TG+0.10980.4480NS+0.07270.6161NS
HDL-0.04180.7733NS+0.02210.8788NS
LDL-0.19130.1832NS-0.02070.8868NS
VLDL+0.10980.4480NS+0.07270.6161NS
TC/HDL-0.13990.3325NS-0.00970.9465NS
LDL/HDL-0.18550.1971NS-0.03270.8217NS
NS = Not Significant (p >= 0.05)

Interpretation

None of the lipid parameters (TC, TG, HDL, LDL, VLDL, TC/HDL ratio, LDL/HDL ratio) showed a statistically significant correlation with either eGFR-Cystatin C or eGFR-Creatinine in this dataset (all p-values well above 0.05).
Key observations:
  • LDL showed the strongest (though non-significant) negative correlation with CysC-eGFR (r = -0.1913, p = 0.183), suggesting higher LDL tends weakly toward lower eGFR by this measure.
  • TC also had a weak negative correlation with CysC-eGFR (r = -0.1603) but none with creatinine-eGFR.
  • TG and VLDL showed identical weak positive correlations (r = +0.1098 for CysC-eGFR; they are mathematically linked since VLDL = TG/5).
  • Correlations with creatinine-based eGFR were all extremely weak (|r| < 0.08), suggesting lipid levels have little relationship with creatinine clearance in this cohort.
  • The discrepancy in direction between CysC-eGFR and creatinine-eGFR correlations for TC (r = -0.16 vs +0.004) reflects the different sensitivities of the two GFR estimation methods.
The overall finding of no significant correlation is consistent with reports in CKD populations where dyslipidemia is common but its relationship with GFR depends heavily on stage, comorbidities, and medication use.

Download the formatted Excel file with all results:

ARTICLE SMITA GFR Correlations

Spreadsheet · XLSX

This is a shared conversation. Sign in to Orris to start your own chat.