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ORIGINAL RESEARCH

Development of a Nomogram That Predicts the Risk of Atrial Fibrillation in Patients with Coronary Heart Disease

, , , , , & show all
Pages 1815-1826 | Received 27 Feb 2024, Accepted 14 Jun 2024, Published online: 09 Jul 2024

Figures & data

Table 1 Comparison of Clinical Data Between the Two Groups

Figure 1 Flowchart of research subject screening.

Figure 1 Flowchart of research subject screening.

Figure 2 Coefficient path of LASSO regression.

Figure 2 Coefficient path of LASSO regression.

Figure 3 LASSO regression verification results.

Figure 3 LASSO regression verification results.

Table 2 Multi-Factor Logistic Regression Analysis

Figure 4 Importance ranking of risk factors.

Figure 4 Importance ranking of risk factors.

Figure 5 The nomogram model for predicting AF risk in CHD patients.

Abbreviations: CMBL, coronary multiple branch lesion; HF, heart failure; Drink, having an average of at least one drink per month in the past 12 months, regardless of the type of alcohol consumed; Course, the course of coronary heart disease is more than 5 years; LAD, left atrial diameter; LVEDD, left ventricular end-diastolic diameter; DM, Diabetes mellitus; PH, pulmonary hypertension.
Figure 5 The nomogram model for predicting AF risk in CHD patients.

Figure 6 AUC curve of the nomogram model.

Figure 6 AUC curve of the nomogram model.

Figure 7 Calibration curve of the nomogram model.

Figure 7 Calibration curve of the nomogram model.

Figure 8 Decision curve of the nomogram model.

Figure 8 Decision curve of the nomogram model.

Data Sharing Statement

Data and any appendix material related to this article can be obtained from the corresponding author on request.