University of Kentucky College of Nursing, Lexington, KY 40536-0232, USA.
J Cardiovasc Nurs. 2010 Jul-Aug;25(4):263-72. doi: 10.1097/JCN.0b013e3181cfbb88.
Because patients with heart failure (HF) experience multiple symptoms simultaneously, it is necessary to explore symptom clusters rather than individual symptoms to determine their impact on outcomes. Given gender differences in symptom experience, examination of potential gender differences in clusters is reasonable.
The objective of the study was to compare symptom clusters between men and women with HF, differences in patient characteristics among symptom clusters, and the impact of symptom clusters on cardiac event-free survival.
A total of 331 patients with HF recruited from HF clinics were included (35% were female and 62% were of New York Heart Association classes III/IV). Cluster analysis was used to identify symptom clusters between men and women based on ratings of distress related to 7 symptoms. Analysis of variance or chi test was used to compare characteristics of patient groups that were divided by the median split of total distress scores of each cluster. Cox proportional hazards regression was used to determine whether total scores of symptom distress in symptom clusters predicted time to first cardiac event.
Two identical symptom clusters were identified in men and women: a physical symptom cluster composed of dyspnea, fatigue/increased need to rest, fatigue/low energy, and sleep disturbances and an emotional/cognitive symptom cluster composed of worrying, feeling depressed, and cognitive problems. Patients with higher distress from the physical symptom cluster were primarily females and of New York Heart Association classes III and IV (P < .05). Patients with higher distress from the emotional/cognitive symptom cluster were younger than those with lower distress (P < .05). The total symptom distress score in the emotional/cognitive cluster, but not the physical cluster, was an independent predictor of cardiac event-free survival (hazard ratio, 1.18; 95% confidence interval, 1.03-1.37).
Although distress for individual symptoms may differ between men and women, they both experienced identical symptom clusters. Only the emotional/cognitive cluster predicted a higher risk for a cardiac event. These results suggested that interventions should be developed that consider symptom clusters. Targeting patients who have high distress from emotional/cognitive symptoms may be particularly important as they may be most vulnerable for adverse outcomes.
由于心力衰竭(HF)患者同时经历多种症状,因此有必要探索症状群而不是单个症状,以确定其对结局的影响。鉴于症状体验中的性别差异,检查潜在的性别差异集群是合理的。
本研究的目的是比较男性和女性心力衰竭患者之间的症状群、症状群之间患者特征的差异,以及症状群对无心脏事件生存的影响。
共纳入 331 名心力衰竭门诊患者(35%为女性,62%为纽约心脏协会 III/IV 级)。基于 7 种与困扰相关的症状评分,使用聚类分析识别男性和女性之间的症状群。使用方差分析或卡方检验比较根据每个聚类的总困扰得分中位数划分的患者组的特征。使用 Cox 比例风险回归确定症状集群中症状困扰的总分是否预测首次心脏事件发生的时间。
在男性和女性中均确定了两个相同的症状群:一个由呼吸困难、疲劳/需要增加休息、疲劳/低能量和睡眠障碍组成的身体症状群,以及一个由担心、感到抑郁和认知问题组成的情绪/认知症状群。身体症状群困扰程度较高的患者主要为女性,纽约心脏协会分级为 III 和 IV 级(P<.05)。情绪/认知症状群困扰程度较高的患者比困扰程度较低的患者年轻(P<.05)。情绪/认知集群的总症状困扰评分,但不是身体集群,是无心脏事件生存的独立预测因子(危险比,1.18;95%置信区间,1.03-1.37)。
尽管男性和女性的个别症状的困扰程度可能不同,但他们都经历了相同的症状群。只有情绪/认知集群预测心脏事件的风险较高。这些结果表明,应开发考虑症状群的干预措施。针对情绪/认知症状困扰程度较高的患者可能尤为重要,因为他们可能最容易出现不良结局。