Ko Jong Mi, Tecson Kristen M, Rashida Vanessa Al, Sodhi Sandeep, Saef Josh, Mufti Mehwish, White Kamila S, Ludbrook Philip A, Cedars Ari M
Baylor Heart and Vascular Institute, Baylor Scott & White Research Institute, Dallas, Texas.
Department of Cardiology, Washington University School of Medicine, St Louis, Missouri.
Am J Cardiol. 2018 Feb 1;121(3):377-381. doi: 10.1016/j.amjcard.2017.10.038. Epub 2017 Nov 3.
The factors having the greatest impact on self-reported health status in adults with congenital heart disease (ACHD) remain incompletely studied. We conducted a single-site, cross-sectional study of ACHD patients followed at the Center for ACHD at Washington University School of Medicine, including retrospectively gathered clinical data and psychometric and health status assessments completed at the time of enrollment. To identify primary drivers of perceived health status, we investigated the impact of the demographic, clinical, and psychological variables on self-reported health status as assessed using the Rand 36-Item Short Form Health Survey. Variables with significant associations within each domain were considered jointly in multivariable models constructed via stepwise selection. There was domain-specific heterogeneity in the variables having the greatest effect on self-reported health status. Depression was responsible for the greatest amount of variability in health status in all domains except physical functioning. In the physical functioning domain, depression remained responsible for 5% of total variability, the third most significant variable in the model. In every domain, depression more strongly influenced health status than did any cardiac-specific variable. In conclusion, depression was responsible for a significant amount of heterogeneity in all domains of self-perceived health status. Psychological variables were better predictors of health status than clinical variables.
对先天性心脏病成人患者(ACHD)自我报告健康状况影响最大的因素尚未得到充分研究。我们在华盛顿大学医学院先天性心脏病中心对ACHD患者进行了一项单中心横断面研究,包括回顾性收集的临床数据以及在入组时完成的心理测量和健康状况评估。为了确定感知健康状况的主要驱动因素,我们使用兰德36项简短健康调查评估了人口统计学、临床和心理变量对自我报告健康状况的影响。在逐步选择构建的多变量模型中,共同考虑每个领域内具有显著关联的变量。对自我报告健康状况影响最大的变量存在领域特异性异质性。除身体功能外,抑郁在所有领域的健康状况变异中占比最大。在身体功能领域,抑郁仍占总变异的5%,是模型中第三大显著变量。在每个领域,抑郁对健康状况的影响都比任何心脏特异性变量更强。总之,抑郁在自我感知健康状况的所有领域中导致了大量异质性。心理变量比临床变量更能预测健康状况。