Table 4 Logistic regression coefficients for variables selected by Lasso algorithm in standard and simplified groups.
From: Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study
| Â | Standard | Simplified | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
CBVD | Stroke | CH | IHD | AMI | CBVD | Stroke | CH | IHD | AMI | |
Gender | -0.216 | 0.018 | 0.010 | 0.212 | 0.549 | -0.046 | 0.190 | 0.139 | 0.234 | 0.692 |
Age | 0.072 | 0.077 | 0.055 | 0.059 | 0.076 | 0.080 | 0.085 | 0.060 | 0.068 | 0.073 |
High BMI | 0.019 | 0.036 | 0.042 | 0.042 | - | 0.023 | 0.023 | 0.010 | 0.064 | 0.047 |
High SBP | 0.009 | 0.014 | 0.023 | 0.005 | 0.026 | 0.003 | 0.007 | 0.008 | 0.001 | - |
High DBP | 0.005 | 0.007 | 0.031 | 0.013 | 0.006 | 0.008 | 0.010 | 0.022 | 0.006 | 0.013 |
Low HGB | - | - | 0.381 | - | - | - | 0.023 | 0.172 | - | - |
High FBS | 0.001 | 0.002 | - | 0.001 | 0.007 | 0.002 | 0.003 | 0.001 | 0.002 | 0.005 |
Low HDL | 0.004 | 0.003 | - | 0.009 | 0.026 | 0.005 | 0.005 | 0.003 | 0.011 | 0.023 |
High SGOT | 0.002 | 0.002 | 0.002 | - | - | - | 0.000 | 0.002 | - | - |
High SGPT | - | 0.000 | - | - | - | 0.000 | 0.001 | - | - | - |
High GGT | 0.001 | 0.002 | 0.003 | - | - | 0.001 | 0.001 | 0.002 | - | - |
High CRTN | - | - | - | - | - | 0.032 | 0.031 | 0.064 | - | - |
Low eGFR | 0.022 | 0.019 | 0.037 | - | - | 0.006 | 0.007 | 0.010 | 0.013 | 0.024 |
Dipstick test | - | - | 0.113 | 0.070 | - | 0.088 | 0.105 | 0.149 | 0.084 | 0.024 |
Smoker | 0.055 | 0.094 | 0.113 | 0.044 | 0.507 | - | 0.015 | 0.006 | 0.059 | 0.244 |
High risk drinker | 0.089 | 0.180 | 0.294 | - | - | 0.028 | 0.064 | 0.135 | - | - |
Family history: stroke | 0.405 | 0.391 | 0.591 | 0.227 | - | 0.445 | 0.506 | 0.354 | 0.230 | 0.170 |
Family history: heart disease | 0.152 | 0.361 | - | 0.334 | 0.610 | 0.059 | 0.083 | - | 0.606 | 0.622 |
Family history: hypertension | 0.059 | 0.200 | - | 0.172 | - | 0.192 | 0.215 | 0.200 | 0.247 | 0.153 |
Constant | -7.331 | -8.629 | -9.531 | -7.092 | -11.936 | -7.386 | -8.536 | -8.629 | -7.093 | -10.689 |