©The Author(s) 2024.
World J Cardiol. Feb 26, 2024; 16(2): 80-91
Published online Feb 26, 2024. doi: 10.4330/wjc.v16.i2.80
Published online Feb 26, 2024. doi: 10.4330/wjc.v16.i2.80
Table 2 Results of univariate and multivariate Logistic regression analysis on risk of pre-hospital delay in development group
| Variables | Univariate logistic regression | Multivariate logistic regression | ||
| OR (95%CI) | P value | OR (95%CI) | P value | |
| BMI | 0.956 (0.867, 1.050) | 0.35 | ||
| Killip Grade 1 | Reference | |||
| Killip Grade 2 | 1.061 (0.429, 2.464) | 0.894 | ||
| Killip Grade 3 | 3.143 (0.666, 16.536) | 0.145 | ||
| Killip Grade 4 | 4.714 (0.440, 103.073) | 0.211 | ||
| Timi Grade 0 | Reference | |||
| Timi Grade 1 | 1.855 (0.501, 6.615) | 0.337 | ||
| Timi Grade 2 | 0.890 (0.294, 2.420) | 0.826 | ||
| Timi Grade 3 | 1.012 (0.474, 2.109) | 0.975 | ||
| Living alone | 3.059 (1.138, 8.476) | 0.027 | 4.654 (1.386, 16.957) | 0.015 |
| Daytime onset | Reference | |||
| Nighttime onset | 2.831 (1.434, 5.853) | 0.004 | 2.200 (0.968, 5.188) | 0.064 |
| Combined with atrial fibrillation | 1.875 (0.520, 6.497) | 0.317 | ||
| Combined with hypertension | 2.862 (1.493, 5.649) | 0.002 | 1.990 (0.906, 4.473) | 0.089 |
| Combined with hyperlipidemia | 2.467 (1.024, 5.957) | 0.042 | 3.151 (1.095, 9.373) | 0.035 |
| Have a regular job | 0.791 (0.395, 1.541) | 0.497 | ||
| Number of diseased coronary artery | 1.109 (0.743, 1.656) | 0.61 | ||
| Marital status: married | Reference | |||
| Marriage: Divorced or widowed | 0.792 (0.168, 2.864) | 0.739 | ||
| Marriage: Unmarried | 0.704 (0.034, 5.648) | 0.764 | ||
| Prior history of AMI | 3.361 (0.542, 26.068) | 0.191 | ||
| Family monthly income < 3000 yuan | Reference | |||
| The monthly income of the family = 3000–5000 yuan | 0.922 (0.449, 1.872) | 0.822 | ||
| Family monthly income > 5000 yuan | 1.560 (0.660, 3.636) | 0.304 | ||
| Type of residence: town | 0.387 (0.201, 0.737) | 0.004 | 0.576 (0.258, 1.281) | 0.175 |
| Complicated with cerebral infarction | 1.691 (0.533, 5.112) | 0.353 | ||
| Age | 1.043 (1.020, 1.069) | < 0.001 | 1.034 (1.004, 1.065) | 0.027 |
| Complicated with renal insufficiency | 1.845 (0.668, 4.959) | 0.225 | ||
| Complicated with diabetes | 3.211 (1.662, 6.278) | 0.001 | 3.208 (1.466, 7.228) | 0.004 |
| Education level is junior high school or below | Reference | |||
| High school education | 1.669 (0.766, 3.610) | 0.193 | ||
| Education level is university or above | 0.417 (0.146, 1.035) | 0.076 | ||
| Smoking | 0.404 (0.207, 0.771) | 0.007 | 0.682 (0.279, 1.652) | 0.395 |
| Complicated with digestive system diseases | 2.733 (1.154, 6.533) | 0.022 | 3.937 (1.433, 11.236) | 0.009 |
| Complicated with heart failure | 1.490 (0.478, 4.355) | 0.471 | ||
| Female sex | 2.737 (1.309, 5.753) | 0.007 | 1.419 (0.531, 3.776) | 0.482 |
| Drinking | 0.841 (0.413, 1.659) | 0.622 | ||
| Payment method: medical insurance reimbursement | 1.252 (0.347, 5.886) | 0.747 | ||
| Number of stents placed | 1.300 (0.916, 1.856) | 0.142 | ||
- Citation: Cao JY, Zhang LX, Zhou XJ. Development and validation of a nomogram model for predicting the risk of pre-hospital delay in patients with acute myocardial infarction. World J Cardiol 2024; 16(2): 80-91
- URL: https://www.wjgnet.com/1949-8462/full/v16/i2/80.htm
- DOI: https://dx.doi.org/10.4330/wjc.v16.i2.80