Fu Yunfeng, Liang Zhongshu, Feng Wenchang
Department of Blood Transfusion, Xiangya Third Hospital, Central South University, Changsha 410000, Hunan, China.
Department of Cardiology, Xiangya Third Hospital, Central South University, Changsha 410000, Hunan, China. Corresponding author: Feng Wenchang, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2024 Nov;36(11):1169-1173. doi: 10.3760/cma.j.cn121430-20240813-00696.
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).
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.
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 = 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.
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.
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,并构建超声指标风险列线图模型以预测心肌梗死后室间隔破裂(PIVSR)患者的死亡风险。
回顾性分析2014年1月至2024年6月中南大学湘雅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天生存状态分为死亡组和生存组。采用单因素和多因素分析方法分析影响PIVSR患者7天内死亡的危险因素,并使用R软件构建预测PIVSR患者7天内死亡的超声指标风险列线图模型。采用校准曲线和受试者工作特征曲线(ROC曲线)验证模型的预测效果。
40例PIVSR患者中,18例在7天时死亡,22例存活。单因素分析显示,与生存组相比,死亡组患者年龄更大(岁:73.7±6.8 vs. 68.1±7.7),VSR直径更大(mm:10.4±4.2 vs. 7.7±3.0),穿孔区域峰值压差(PPG)更高[mmHg(1 mmHg≈0.133 kPa):49.0±11.6 vs. 37.0±16.1],左心室射血分数(LVEF)和每搏输出量(SV)显著降低[LVEF:0.439±0.134 vs. 0.512±0.094,SV(mL):46.1±15.6 vs. 62.0±14.3],差异有统计学意义(均P<0.05)。多因素Logistic回归分析显示,年龄[比值比(OR)=1.212,95%置信区间(95%CI)为1.034 - 1.420,P = 0.018]和穿孔区域PPG(OR = 1.248,95%CI为1.069 - 1.457,P = 0.005)与PIVSR患者7天内死亡事件的发生呈正相关,而SV与PIVSR患者7天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)。列线图模型预测PIVSR患者7天内死亡风险的预测值与实际值基本一致,Hosmer-Lemeshow拟合优度检验χ² = 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。
年龄以及超声心动图指标SV和穿孔区域PPG是PIVSR患者7天内死亡的危险因素。使用上述指标构建的PIVSR患者7天内死亡风险列线图模型具有良好的区分度和一致性。