Table 5.
Predictors of change in glomerular filtration rate from admission to discharge: multiple linear regression analysis results
| Independent variables | b | P value | CI 95% |
|---|---|---|---|
| Gender (M) | 1.92 | 0.26 | -1.418 to 5.262 |
| Age (years) | -0.40 | <0.001 | -0.549 to -0.243 |
| Immediate evidence based treatment | -0.84 | 0.74 | -5.803 to 4.116 |
| GFR at admission (mL/min/1.73 m2 ) | -0.34 | <0.001 | -0.423 to 0.253 |
| History of heart failure | -2.60 | 0.21 | -6.704 to 1.513 |
| History of PAD | 4.04 | 0.16 | -1.589 to 9.663 |
| History of diabetes | 1.00 | 0.55 | -2.309 to 4.307 |
| History of lipid disorders | -2.15 | 0.17 | -5.212 to 0.915 |
| History of hypertension | 0.48 | 0.78 | -2.908 to 3.862 |
| Prior myocardial infarction | -0.36 | 0.83 | -3.544 to 2.833 |
| Prior stroke or TIA | -2.38 | 0.35 | -7.436 to 2.675 |
| Number of vessels with CAD | 1.77 | 0.03 | 0.138 to 3.407 |
| Ejection fraction (≤40) | -3.29 | 0.13 | -7.497 to 0.924 |
Dialysis patients (n = 10) where excluded from the analysis.
Values in bold are statistically significant.
Abbreviations: GFR glomerular filtration rate, CAD coronary artery disease, EF ejection fraction, PAD peripheral arterial disease, TIA transient ischemic attack.