BACKGROUND Cognitive dysfunction predicts mortality in heart failure (HF). Computerized cognitive training (CCT) has shown preliminary efficacy in improving cognitive function. However, the relationship between CCT and mortality is unclear. Aims were to evaluate (1) long-term efficacy of CCT in reducing 24-month mortality and (2) age, HF severity, global cognition, memory, working memory, depressive symptoms, and health-related quality of life as predictors of 24-month mortality among patients with HF. METHODS In this prospective longitudinal study, 142 patients enrolled in a 3-arm randomized controlled trial were followed for 24 months. Logistic regression was used to achieve the aims. RESULTS Across 24 months, 16 patients died (CCT, 8.3%; control groups, 12.8%). Computerized cognitive training did not predict 24-month mortality (odds ratio [OR], 0.65). Older age (OR, 1.08), worse global cognition (OR, 0.73), memory (OR, 0.81), and depressive symptoms (OR, 1.10) at baseline predicted 24-month mortality. CONCLUSIONS Efficacious interventions are needed to improve global cognition, memory, and depressive symptoms and reduce mortality in HF.

中文翻译：

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计算机认知训练和心力衰竭 24 个月死亡率。

背景认知功能障碍可预测心力衰竭（HF）的死亡率。计算机认知训练（CCT）在改善认知功能方面已显示出初步功效。然而，CCT 与死亡率之间的关系尚不清楚。目的是评估 (1) CCT 在降低 24 个月死亡率方面的长期功效，以及 (2) 年龄、心力衰竭严重程度、整体认知、记忆力、工作记忆、抑郁症状和健康相关生活质量作为 24 个月死亡率的预测因素。心力衰竭患者的月死亡率。方法 在这项前瞻性纵向研究中，参加 3 组随机对照试验的 142 名患者接受了为期 24 个月的随访。使用逻辑回归来实现目标。结果 24 个月内，16 名患者死亡（CCT，8.3%；对照组，12.8%）。计算机认知训练不能预测 24 个月死亡率（比值比 [OR]，0.65）。基线时年龄较大（OR，1.08）、整体认知能力（OR，0.73）、记忆力（OR，0.81）和抑郁症状（OR，1.10）较差可预测24个月死亡率。结论 需要有效的干预措施来改善整体认知、记忆和抑郁症状并降低心力衰竭的死亡率。