Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, USA.
Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, USA.
J Pain Symptom Manage. 2020 Mar;59(3):658-667. doi: 10.1016/j.jpainsymman.2019.10.024. Epub 2019 Nov 9.
Patients with implantable cardioverter defibrillators (ICDs) are at risk for multiple physical and psychological symptoms. Identification of specific symptom profiles associated with poor outcomes may elucidate novel strategies to enhance symptom management.
The objectives were to determine common symptoms after initial ICD implantation, identify classes of individuals with similar symptom profiles, describe patient characteristics associated with different symptom profiles, and determine if symptom profiles at hospital discharge predicted outcomes three and 12 months after implantation.
This was a secondary data analysis of a randomized controlled trial that compared patient + partner versus patient-only interventions designed to help patients manage symptoms, prepare for ICD shocks, and resume daily activities. Symptoms were measured with the Patient Concerns Assessment. Latent class regression analysis was used to identify symptom classes at baseline, three-month, and 12-month follow-up. Associations between patient characteristics, class membership, and outcomes were examined using chi-square, analysis of variance, and Poisson regression.
The study included 301 patients (74% male, mean age 64 ± 11.9 years). Three classes were identified: Multi-Symptom (N = 119, 40%), Tired-Rundown (N = 130, 43%), and Mostly Asymptomatic (N = 52, 17%). Patients in the Multi-Symptom class were younger (59.9 years, P < 0.001) and reported more anxiety (P < 0.001) and depression (P < 0.01) than the other classes. Membership in the Multi-Symptom class predicted lower quality of life and resulted in nearly double the rate of hospitalizations after 12 months (P = 0.02, IRR 1.9).
Evaluation of symptom profiles after ICD implantation offers a promising strategy for identifying patients at risk for poor health outcomes.
植入式心脏复律除颤器(ICD)患者存在多种生理和心理症状的风险。确定与不良结局相关的特定症状谱可能阐明增强症状管理的新策略。
本研究旨在确定 ICD 植入后的常见症状,识别具有相似症状谱的个体类别,描述与不同症状谱相关的患者特征,并确定出院时的症状谱是否能预测植入后 3 个月和 12 个月的结局。
这是一项针对随机对照试验的二次数据分析,该试验比较了患者+伴侣干预与仅患者干预,旨在帮助患者管理症状、为 ICD 电击做好准备和恢复日常活动。使用患者关注评估量表测量症状。使用潜在类别回归分析在基线、3 个月和 12 个月随访时识别症状类别。使用卡方检验、方差分析和泊松回归检验患者特征、类别成员和结局之间的关联。
该研究纳入了 301 名患者(74%为男性,平均年龄 64±11.9 岁)。确定了 3 个类别:多症状(N=119,40%)、疲劳/衰弱(N=130,43%)和基本无症状(N=52,17%)。多症状组患者年龄更小(59.9 岁,P<0.001),焦虑(P<0.001)和抑郁(P<0.01)评分更高。多症状类别的成员预测生活质量较低,并且在 12 个月后导致住院率几乎翻了一番(P=0.02,IRR 1.9)。
在 ICD 植入后评估症状谱为识别健康结局不良的患者提供了一种有前途的策略。