Chronic Diseases Research Center (CDRC), Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Arch Gerontol Geriatr. 2014 Jul-Aug;59(1):69-73. doi: 10.1016/j.archger.2014.03.011. Epub 2014 Apr 5.
Resting electrocardioghic (ECG) abnormalities might be value for mortality prediction. The aim of this study is to evaluate whether ECG abnormalities are associated with increased mortality in older residents of Kahrizak Charity Foundation (KCF). A total of 247 participants ≥60-years of KES were enrolled in this study. Adjudicated all cause mortality was collected over 3 years between 2006 and 2009. The subjects were classified as having major, minor or no ECG abnormalities according to the Minnesota Code. The addition of ECG to risk factors were examined to predict cardiovascular diseases (CVD) and all-cause mortality by using Cox proportional hazards regression models. At baseline, 104(42.1%) had major ECG abnormalities and 73(29.6%) had minor abnormalities. During a median follow-up of 3.2 years, 73 participants died from all-cause mortality and 31 deaths from CVD. Major ECG abnormalities were associated with an increased risk of CVD mortality in all models. The associations between minor ECG abnormalities at baseline and CVD mortality were not statistically significant. After adjustment for age and sex, Body mass index (BMI), smoking, diabetes, hypertension (HTN), hyperlipidemia and history of CVD, the participants with the major ECG abnormalities had higher risks of CVD mortality (HR: 3.12(95% CI, 1.02-9.57) and all-cause mortality (HR: 2.45(95% CI, 1.23-4.85) compared with those with normal ECG.
静息心电图(ECG)异常可能对死亡率预测有价值。本研究旨在评估 ECG 异常是否与 Kahrizak 慈善基金会(KCF)老年居民的死亡率增加有关。共有 247 名年龄≥60 岁的 KES 参与者参加了这项研究。在 2006 年至 2009 年期间,通过协变量比例风险回归模型,对 3 年期间的全因死亡率进行了判定。根据明尼苏达州编码,将心电图异常分为主要、次要或无心电图异常。将心电图异常与危险因素相结合,用于预测心血管疾病(CVD)和全因死亡率。在基线时,104 名(42.1%)有主要心电图异常,73 名(29.6%)有次要异常。在中位数为 3.2 年的随访期间,73 名参与者死于全因死亡率,31 名死于 CVD。在所有模型中,主要心电图异常与 CVD 死亡率增加相关。在 CVD 死亡率方面,基线时次要心电图异常与 CVD 死亡率之间无统计学意义。在调整年龄和性别、体重指数(BMI)、吸烟、糖尿病、高血压(HTN)、高血脂和 CVD 病史后,主要心电图异常的参与者 CVD 死亡率(HR:3.12(95%CI,1.02-9.57)和全因死亡率(HR:2.45(95%CI,1.23-4.85)均高于正常心电图。