Objective To analyze the risk factors of elderly patients with paroxysm atrial fibrillation (PAF) complicated with hyperuricemia (HUA) and construct a Nomgram early warning model.
Methods A total of 471 elderly PAF patients were retrospectively selected as the study subjects, and divided into HUA group (n=45) and non-HUA (n=426) according to whether they were complicated with HUA.Clinical data were collected to analyze the risk factors of elderly patients with PAF complicated with HUA.A Nomgram warning model was constructed based on independent risk factors, and predictive efficacy was validated.
Results There were significant differences in sex, body mass index (BMI), serum creatinine (Scr) level and diabetes mellitus, hypertension, hyperlipidemia, nonalcoholic fatty liver between the two groups (P < 0.05 to P < 0.01).Logistic regression analysis showed that BMI>28 kg/m2, diabetes mellitus, hypertension, hyperlipidemia, nonalcoholic fatty liver and Scr>96 μmol/L were independent risk factors for PAF patients complicated with HUA (P < 0.05 to P < 0.01).Based on six independent risk factors, a risk Nomogram warning model for PAF complicated with HUA was established.The validation results showed that the C-index was 0.797 (95%CI: 0.763-0.832), the predicted value of the calibration curve was basically consistent with the measured value, the internal validation of the risk Nomogram model for PAF complicated with HUA had an AUC of 0.803 (95%CI: 0.779-0.827), and the decision curve showed a high net benefit value when the threshold probability was within the range of 5% to 93%.
Conclusions BMI>28 kg/m2, diabetes mellitus, hypertension, hyperlipidemia, nonalcoholic fatty liver and Scr>96 μmol/L are independent risk factors for PAF patients complicated with HUA.The Nomgram model based on the above risk factors can be used to evaluate and quantify the risk of PAF complicated with HUA.
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