[超声指标对急性心肌梗死室间隔破裂患者7天内死亡风险预测模型的构建]。

Yunfeng Fu, Zhongshu Liang, Wenchang Feng
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引用次数: 0

摘要

目的:基于超声心动图指标探讨急性心肌梗死(AMI)合并室间隔破裂(VSR)患者7天内死亡的危险因素,构建超声指标风险的nomogram模型,预测梗死后室间隔破裂(PIVSR)患者的死亡风险。方法:回顾性分析2014年1月至2024年6月中南大学湘雅第三医院心内科收治的40例PIVSR患者的超声心动图资料。根据患者7 d的生存情况分为死亡组和生存组。通过单因素和多因素分析对影响PIVSR患者7天内死亡的危险因素进行分析,利用R软件构建超声指标预测PIVSR患者7天内死亡的风险模态图模型。采用校正曲线和受试者操作特征曲线(ROC曲线)验证模型的预测效果。结果:40例PIVSR患者中,7 d死亡18例,存活22例。单因素分析显示,与生存组相比,死亡组患者年龄较大(73.7±6.8 vs. 68.1±7.7),VSR直径较大(mm: 10.4±4.2 vs. 7.7±3.0),穿孔区峰值压差(PPG)较高[mmHg (1 mmHg≈0.133 kPa): 49.0±11.6 vs. 37.0±16.1],左室射血分数(LVEF)和卒中容积(SV)显著降低[LVEF: 0.439±0.134 vs. 0.512±0.094,SV (mL)]。46.1±15.6∶62.0±14.3],差异均有统计学意义(P < 0.05)。多因素Logistic回归分析显示,年龄[比值比(OR) = 1.212, 95%可信区间(95% ci)为1.034 ~ 1.420,P = 0.018]、穿孔面积PPG (OR = 1.248, 95% ci为1.069 ~ 1.457,P = 0.005]与PIVSR患者7 d内死亡事件的发生呈正相关,SV与PIVSR患者7 d内死亡事件的发生呈负相关(OR = 0.851, 95% ci为0.756 ~ 0.957,P = 0.007)。预测PIVSR患者7 d内死亡风险的nomogram模型预测值与实际值基本一致,Hosmer-Lemeshow拟合优度检验χ 2 = 10.679, P = 0.220。模型预测的曲线下面积(AUC)为0.960,95%CI为0.913 ~ 0.998。结论:年龄、超声心动图指标SV和穿孔面积PPG是PIVSR患者7天内死亡的危险因素。利用上述指标构建的PIVSR患者7天内死亡风险的nomogram模型具有较好的辨析性和一致性。
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[Construction of a prediction model of ultrasound indicators for mortality risk within 7 days in patients with acute myocardial infarction and ventricular septal rupture].

Objective: To investigate the risk factors of death within 7 days in patients with acute myocardial infarction (AMI) complicated by ventricular septal rupture (VSR) based on echocardiography indicators, and to construct a nomogram model of ultrasound indicator risk to predict the risk of death in patients with post-infarction ventricular septal rupture (PIVSR).

Methods: The echocardiographic data of 40 patients with PIVSR admitted to the department of cardiology, Xiangya Third Hospital, Central South University from January 2014 to June 2024 were retrospectively analyzed. The patients were divided into death group and survival group based on their 7-day survival status. The risk factors affecting death within 7 days of PIVSR patients were analyzed by univariate and multivariate analyses, and the risk nomogram model of ultrasound indicators predicting death within 7 days of PIVSR patients was constructed by using R software. Calibration curve and receiver operator characteristic curve (ROC curve) were used to verify the prediction effect of the model.

Results: Among the 40 patients with PIVSR, 18 died at 7 days and 22 survived. Univariate analysis showed that, compared with the survival group, patients in the death group were older (years old: 73.7±6.8 vs. 68.1±7.7), had a larger diameter of VSR (mm: 10.4±4.2 vs. 7.7±3.0), and had a higher peak pressure difference (PPG) in the perforation area [mmHg (1 mmHg≈0.133 kPa): 49.0±11.6 vs. 37.0±16.1], left ventricular ejection fraction (LVEF) and stroke volume (SV) were significantly decreased [LVEF: 0.439±0.134 vs. 0.512±0.094, SV (mL): 46.1±15.6 vs. 62.0±14.3], and the differences were statistically significant (all P < 0.05). Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.212, 95% confidence interval (95%CI) was 1.034-1.420, P = 0.018] and perforation area PPG (OR = 1.248, 95%CI was 1.069-1.457, P = 0.005) were positively correlated with the occurrence of death events within 7 days in PIVSR patients, while SV was negatively correlated with the occurrence of death events within 7 days in PIVSR patients (OR = 0.851, 95%CI was 0.756-0.957, P = 0.007). The predicted value of the nomogram model for predicting the risk of death within 7 days in patients with PIVSR was basically consistent with the actual value, and the Hosmer-Lemeshow goodness of fit test χ 2 = 10.679, P = 0.220. The area under the curve (AUC) predicted by the model was 0.960, 95%CI was 0.913-0.998.

Conclusions: Age and echocardiographic indicators SV and perforation area PPG are risk factors for mortality within 7 days in PIVSR patients. The nomogram model of mortality risk within 7 days in PIVSR patients constructed using the above indicators has good discrimination and consistency.

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来源期刊
Zhonghua wei zhong bing ji jiu yi xue
Zhonghua wei zhong bing ji jiu yi xue Medicine-Critical Care and Intensive Care Medicine
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