| 王燕芳,王丽媛,赵炜祎,刘志宏,杨丽云.不同类型慢性心力衰竭患者临床特征及心功能危险因素、预后影响因素分析[J].,2023,(21):4130-4136 |
| 不同类型慢性心力衰竭患者临床特征及心功能危险因素、预后影响因素分析 |
| Analysis of Clinical Characteristics and Risk Factors for Cardiac Function and Prognostic Influences in Patients with Different Types of Chronic Heart Failure |
| 投稿时间：2023-06-06 修订日期：2023-06-30 |
| DOI：10.13241/j.cnki.pmb.2023.21.025 |
| 中文关键词: 慢性心力衰竭 临床特征 心功能 危险因素 预后 |
| 英文关键词: Chronic heart failure Clinical features Cardiac function Risk factors Prognosis |
| 基金项目:内蒙古自治区2022年度卫生健康科技计划项目（202201060） |
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| 中文摘要: |
| 摘要 目的：分析不同类型慢性心力衰竭患者临床特征及心功能危险因素、预后影响因素。方法：回顾性分析2020年1月-2022年1月我院收治的慢性心力衰竭患者80例，根据左室射血分数（LVEF）分为A组（n=25，LVEF<30%）、B组（n=25，LVEF 40%~50%）、C组（n=25，LVEF≥50%）三组，另根据随访1年后是否存活分为生存组（n=51）和死亡组（n=29）。比较不同组别临床相关指标，采用Pearson检验分析患者临床特征与慢性心力衰竭患者心功能、预后之间的相关性，采用多因素Logistic回归分析影响慢性心力衰竭患者心功能、预后的独立危险因素。结果：A组的心率及患有冠心病、心律失常1年以上、合并非心血管疾病人数占比、LAD、RAD、Scr、Hcy水平高于B组和C组（P<0.05）。死亡组的心率及患有冠心病、心律失常1年以上、LAD、RAD、Scr水平明显高于生存组（P<0.05）。Pearson相关性检验显示，心率、冠心病、心律失常、合并非心血管疾病、LAD、RAD、Scr、Hcy水平与慢性心力衰竭患者心功能之间呈正相关（P<0.05）；心率、冠心病、心律失常、LAD、RAD、Scr水平与慢性心力衰竭患者预后之间呈正相关（P<0.05）。多因素Logistic回归分析结果显示，心率、冠心病、心律失常、合并非心血管疾病、LAD、RAD、Scr、Hcy水平是影响慢性心力衰竭患者心功能的独立危险因素（P<0.05）；心率、冠心病、心律失常、LAD、RAD、Scr水平是影响慢性心力衰竭患者预后的独立危险因素（P<0.05）。结论：心率、冠心病、心律失常、LAD、RAD、Scr水平与慢性心力衰竭患者心功能、预后之间均呈正相关，是影响慢性心力衰竭患者心功能、预后的独立危险因素，可用来预测慢性心力衰竭的发生。 |
| 英文摘要: |
| ABSTRACT Objective: To analyze the clinical characteristics and cardiac function risk factors and prognostic influences of patients with different types of chronic heart failure. Methods: We retrospectively analyzed 80 patients with chronic heart failure admitted to our hospital between January 2020 and January 2022, and divided them into three groups according to left ventricular ejection fraction (LVEF): group A (n=25, LVEF <30%), group B (n=25, LVEF 40%-50%), and group C (n=25, LVEF ≥50%), and compared the clinical data of the three groups, and also divided the occurrence group into survival group (n=51) and death group (n=29) according to whether they survived after 1 year of follow-up, and compared the clinical related indexes of the two groups, Pearson test was used to analyze the correlation between clinical characteristics of patients and cardiac function and prognosis of patients with chronic heart failure. Multi-factor logistic regression was used to analyze the independent risk factors affecting cardiac function and prognosis in patients with chronic heart failure. Results: The heart rate and the percentage of people with coronary artery disease, arrhythmia for more than 1 year, combined non-cardiovascular disease, LAD, RAD, Scr, and Hcy levels were higher in group A than in groups B and C(P<0.05). The heart rate and the levels of having coronary artery disease, arrhythmia for more than 1 year, LAD, RAD, and Scr were significantly higher in the death group than in the survival group(P<0.05). Pearson correlation test showed a positive correlation between heart rate, coronary artery disease, arrhythmia, combined non-cardiovascular disease, LAD, RAD, Scr, Hcy levels and cardiac function in patients with chronic heart failure(P<0.05). There was a positive correlation between heart rate, having coronary artery disease, arrhythmia for more than 1 year, LAD, RAD, Scr levels and prognosis of patients with chronic heart failure(P<0.05). Multifactorial logistic regression analysis showed that heart rate, coronary artery disease, arrhythmia, combined non-cardiovascular disease, LAD, RAD, Scr, and Hcy levels were independent risk factors for cardiac function in patients with chronic heart failure(P<0.05); Heart rate, having coronary artery disease, arrhythmia for more than 1 year, and LAD, RAD, and Scr levels were independent risk factors affecting the prognosis of patients with chronic heart failure(P<0.05). Conclusion: There was a positive correlation between heart rate, coronary artery disease, arrhythmia, LAD, RAD, and Scr levels and cardiac function and prognosis in patients with chronic heart failure, which are independent risk factors affecting cardiac function and prognosis in patients with chronic heart failure and can be used to predict the development of chronic heart failure. |
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