Xue Gao, Ying Guo, Xiaoting Zhu, Chunlei Du, Beibei Ma, Yinghua Cui, Shuai Wang
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Univariate and multivariate Cox regression hazard analysis and stratifying analysis were used to assess predictors of in-hospital mortality from CR.</p><p><strong>Results: </strong>The incidence of CR after AMI was 3.0% and in-hospital mortality was approximately 57%. Multivariate logistic regression analysis identified that white blood cell count, neutrophil percentage, anterior myocardial infarction, a Killip class of >II, and albumin level were independently associated with CR (<i>p</i> < 0.05). Stratifying analysis showed that age, systolic blood pressure, and bicarbonate were independent risk factors for female CR (<i>p</i> < 0.05) but not male CR. Triglyceride and cardiac troponin I were independent risk factors for male CR (<i>p</i> < 0.05) but not female CR. Anterior myocardial infarction, a Killip class of >II, and neutrophil percentage were independent risk factors for male and female CR (<i>p</i> < 0.05). Multivariate Cox regression analysis showed that the time from symptom to CR and the site of CR were independent predictors for in-hospital mortality from CR (<i>p</i> < 0.05). Stratification analysis indicated that risk factors did not differ based on gender, but platelet counts were predictors for in-hospital mortality in female and male CR.</p><p><strong>Conclusion: </strong>Low albumin, a high white blood cell count, neutrophil percentage, anterior myocardial infarction, and a Killip class of >II were independent and significant predictors for CR. However, risk factors are different in male and female CR. The time from symptom to CR, the site of CR, and platelet counts were independent predictors for in-hospital mortality from CR. These may be helpful in the early and accurate identification of high-risk patients with CR and the assessment of prognosis. 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Multivariate logistic regression analysis identified that white blood cell count, neutrophil percentage, anterior myocardial infarction, a Killip class of >II, and albumin level were independently associated with CR (<i>p</i> < 0.05). Stratifying analysis showed that age, systolic blood pressure, and bicarbonate were independent risk factors for female CR (<i>p</i> < 0.05) but not male CR. Triglyceride and cardiac troponin I were independent risk factors for male CR (<i>p</i> < 0.05) but not female CR. Anterior myocardial infarction, a Killip class of >II, and neutrophil percentage were independent risk factors for male and female CR (<i>p</i> < 0.05). Multivariate Cox regression analysis showed that the time from symptom to CR and the site of CR were independent predictors for in-hospital mortality from CR (<i>p</i> < 0.05). 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引用次数: 0
摘要
背景:急性心肌梗死(AMI)后的心脏破裂(CR)是一种致命的机械并发症。及早发现高危病例中与 CR 相关的因素可降低死亡率。我们的研究旨在发现急性心肌梗死后 CR 的相关风险因素以及 CR 的院内死亡率:在这项研究中,我们从 2013 年 10 月到 2020 年 5 月共登记了 1,699 例 AMI 病例。共有 51 例确诊为 CR。我们记录并回顾分析了临床诊断信息。我们将这些病例与无CR的AMI患者按1:4的比例随机配对。我们采用单变量和多变量逻辑回归及分层分析来确定CR的风险因素。采用单变量和多变量 Cox 回归危险分析及分层分析来评估 CR 院内死亡率的预测因素:结果:急性心肌梗死后 CR 的发生率为 3.0%,院内死亡率约为 57%。多变量逻辑回归分析发现,白细胞计数、中性粒细胞百分比、前心肌梗死、Killip分级>II级和白蛋白水平与CR独立相关(p p p II),中性粒细胞百分比是男性和女性CR的独立风险因素(p p 结论:低白蛋白、高白细胞计数和中性粒细胞百分比是男性和女性CR的独立风险因素:低白蛋白、高白细胞计数、中性粒细胞百分比、前心肌梗死和 Killip 分级大于 II 级是 CR 的独立且显著的预测因素。不过,男性和女性 CR 的风险因素有所不同。从出现症状到发生心肌梗死的时间、发生心肌梗死的部位和血小板计数是预测心肌梗死院内死亡率的独立因素。这些因素可能有助于早期准确识别 CR 高危患者并评估预后。此外,还应考虑性别差异。
Factors related to cardiac rupture after acute myocardial infarction.
Background: Cardiac rupture (CR) after acute myocardial infarction (AMI) is a fatal mechanical complication. The early identification of factors related to CR in high-risk cases may reduce mortality. The purpose of our study was to discover relevant risk factors for CR after AMI and in-hospital mortality from CR.
Methods: In this study, we enrolled 1,699 AMI cases from October 2013 to May 2020. A total of 51 cases were diagnosed with CR. Clinical diagnostic information was recorded and analyzed retrospectively. We randomly matched these cases with AMI patients without CR in a 1:4 ratio. Univariate and multivariate logistic regression and stratifying analysis were used to identify risk factors for CR. Univariate and multivariate Cox regression hazard analysis and stratifying analysis were used to assess predictors of in-hospital mortality from CR.
Results: The incidence of CR after AMI was 3.0% and in-hospital mortality was approximately 57%. Multivariate logistic regression analysis identified that white blood cell count, neutrophil percentage, anterior myocardial infarction, a Killip class of >II, and albumin level were independently associated with CR (p < 0.05). Stratifying analysis showed that age, systolic blood pressure, and bicarbonate were independent risk factors for female CR (p < 0.05) but not male CR. Triglyceride and cardiac troponin I were independent risk factors for male CR (p < 0.05) but not female CR. Anterior myocardial infarction, a Killip class of >II, and neutrophil percentage were independent risk factors for male and female CR (p < 0.05). Multivariate Cox regression analysis showed that the time from symptom to CR and the site of CR were independent predictors for in-hospital mortality from CR (p < 0.05). Stratification analysis indicated that risk factors did not differ based on gender, but platelet counts were predictors for in-hospital mortality in female and male CR.
Conclusion: Low albumin, a high white blood cell count, neutrophil percentage, anterior myocardial infarction, and a Killip class of >II were independent and significant predictors for CR. However, risk factors are different in male and female CR. The time from symptom to CR, the site of CR, and platelet counts were independent predictors for in-hospital mortality from CR. These may be helpful in the early and accurate identification of high-risk patients with CR and the assessment of prognosis. In addition, gender differences should be considered.
期刊介绍:
Frontiers? Which frontiers? Where exactly are the frontiers of cardiovascular medicine? And who should be defining these frontiers?
At Frontiers in Cardiovascular Medicine we believe it is worth being curious to foresee and explore beyond the current frontiers. In other words, we would like, through the articles published by our community journal Frontiers in Cardiovascular Medicine, to anticipate the future of cardiovascular medicine, and thus better prevent cardiovascular disorders and improve therapeutic options and outcomes of our patients.