Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
Am J Cardiol. 2022 Jul 1;174:48-52. doi: 10.1016/j.amjcard.2022.03.029. Epub 2022 Apr 23.
Although dementia and atrial fibrillation (AF) are common in older adults, risk factors for dementia have not been sufficiently characterized in patients with AF. We studied 621,773 patients with AF without dementia at the time of AF diagnosis who were enrolled in the MarketScan Commercial and Medicare Supplemental databases from 2007 to 2015. Dementia incidence and presence of predictors at the time of AF diagnosis (cardiometabolic conditions, mental and neurologic disorders, and other chronic conditions) were based on International Classification of Diseases, Ninth Revision, Clinical Modification codes in outpatient and inpatient claims, whereas medication usage was based on outpatient pharmacy claims. A frailty score was calculated using a previously established algorithm. The associations between the predictors of interest and dementia were assessed with multivariable Cox models. Patients had a mean age of 68 years (SD 14 years) and 41% were women. During a mean follow-up of 2.0 years, there were 16,073 cases of dementia. The strongest predictors of dementia were frailty (hazard ratio [HR] 1.43, 95% confidence interval [CI] 1.40 to 1.45, per 1-SD increase in the score), cognitive impairment (HR 1.50, 95% CI 1.36 to 1.65), mood disorders (HR 1.49, 95% CI 1.32 to 1.70), schizophrenia (HR 1.86, 95% CI 1.75 to 1.98), and substance abuse (HR 1.58, 95% CI 1.39 to 1.80). Among cardiometabolic conditions, only stroke (HR 1.17, 95% CI 1.13 to 1.22) and diabetes mellitus (HR 1.14, 95% CI 1.11 to 1.18) were associated with small increases in dementia risk after adjusting for demographics, frailty, co-morbidities, and medications. We have identified several risk factors for dementia in patients with AF.
尽管痴呆症和心房颤动(AF)在老年人中很常见,但痴呆症的风险因素在 AF 患者中尚未得到充分描述。我们研究了 2007 年至 2015 年期间在 MarketScan 商业和医疗保险补充数据库中诊断为 AF 且无痴呆症的 621,773 例患者。痴呆症的发病率以及在 AF 诊断时(心血管代谢状况、精神和神经疾病以及其他慢性疾病)的预测因素是基于门诊和住院索赔中的国际疾病分类,第九修订版,临床修正代码,而药物使用则基于门诊药房索赔。使用先前建立的算法计算虚弱评分。使用多变量 Cox 模型评估感兴趣的预测因素与痴呆症之间的关联。患者的平均年龄为 68 岁(SD 14 岁),其中 41%为女性。在平均 2.0 年的随访期间,有 16,073 例痴呆症。痴呆症最强的预测因素是虚弱(危险比[HR]1.43,95%置信区间[CI]1.40 至 1.45,每增加 1 分评分),认知障碍(HR 1.50,95%CI 1.36 至 1.65),情绪障碍(HR 1.49,95%CI 1.32 至 1.70),精神分裂症(HR 1.86,95%CI 1.75 至 1.98)和物质滥用(HR 1.58,95%CI 1.39 至 1.80)。在心血管代谢状况中,只有中风(HR 1.17,95%CI 1.13 至 1.22)和糖尿病(HR 1.14,95%CI 1.11 至 1.18)在调整人口统计学因素、虚弱、合并症和药物后,与痴呆症风险略有增加相关。我们已经确定了 AF 患者痴呆症的几个风险因素。