心脏超声结合血清指标检查构建Logistic模型评估心律失常患者心功能分级的研究

doi:10.3969/j.issn.1006-6233.2025.02.028

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Abstract Objective: To explore the study of Logistic model constructed by cardiac ultrasound with serum index in evaluating cardiac function grading in patients with arrhythmia (AR). Methods: Totally 105 AR patients in the hospital from February 2021 to April 2024 were enrolled (AR group). According to the grading of cardiac function, the AR patients were divided into grade I-II group (n=45) and grade III-IV group (n=60). At the same time, volunteers who received physical examination in the hospital were included in the control group (n=30). The clinical data of AR patients were collected, and the levels of serum brain natriuretic peptide (BNP), high-sensitivity C-reactive protein (hs-CRP) and cardiac ultrasound parameters (left ventricular ejection fraction [LVEF], left ventricular end-diastolic diameter [LVEDD] and left ventricular end-systolic diameter [LVESD]) were compared between AR group and control group, between grade Ⅰ~Ⅱ group and grade III-IV group. Logistic regression analysis was adopted to screen the risk factors affecting cardiac function grading, and a Logistic model was constructed to evaluate the diagnostic value of cardiac ultrasound parameters and serum BNP and hs-CRP on cardiac function grading. Results: Compared with the control group, the LVEF in the AR group was significantly decreased, while the LVEDD and LVESD were significantly increased (P<0.05). The levels of serum BNP and hs-CRP in the AR group were significantly enhanced compared with the control group (P<0.05). Univariate analysis indicated that there were statistical differences in LVEF, LVEDD, LVESD, serum BNP and hs-CRP between grade I-II group and grade Ⅲ~Ⅳ group (P<0.05). Logistic multivariate regression analysis demonstrated that the decrease of LVEF and increases of LVEDD, LVESD, BNP and hs-CRP were all risk factors affecting cardiac function grading (P<0.05). ROC curve analysis found that the AUC, sensitivity, specificity and 95% CI of the Logistic model constructed by cardiac ultrasound combined with serum BNP and hs-CRP were 0.907, 88.89%, 78.33% and 0.913-0.977, respectively (P<0.05). Conclusion: Logistic model constructed by cardiac ultrasound combined with serum BNP and hs-CRP has high clinical diagnostic value for cardiac function grading in AR patients, and it provides a reliable basis for clinical evaluation of cardiac function grading.

Key words： Cardiac ultrasound High-sensitivity C-reactive protein Brain natriuretic peptide Arrhythmia Cardiac function grading Logistic model

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	LI Mian
	ZHAN Xiaolin
	HUANG Lei
	et al

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LI Mian,ZHAN Xiaolin,HUANG Lei, et al. Study of Logistic Model Constructed by Cardiac Ultrasound with Serum Index in Evaluating Cardiac Function Grading in Patients with Arrhythmia[J]. HeBei Med, 2025, 31(2): 330-335.

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http://www.hbyxzzs.cn/EN/10.3969/j.issn.1006-6233.2025.02.028 OR http://www.hbyxzzs.cn/EN/Y2025/V31/I2/330

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