心脏生物年龄的测定方法

IF 0.1 Q4 MEDICINE, GENERAL & INTERNAL
L. Bodretska, I. Shapovalenko, A. Pisaruk, I. A. Antoniuk-Shchehlova, O. Bondarenko, S. Naskalova, V. Shatylo
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引用次数: 0

摘要

人体心脏生物年龄(BA)的测定对疾病发生风险的及时分层、个体衰老速率的预防、控制和老年保护治疗具有重要意义。目的:研究心脏超声心动图检查的年龄相关性变化,并建立估算人类心脏BA的公式。材料和方法。对188名年龄在30岁至79岁之间实际上健康的人(73名男性和115名女性)进行了心脏超声心动图检查,他们签署了知情同意书,在记忆中或目前没有临床重大疾病。研究对象分为年龄组:I (n = 25) - 30-39岁,II (n = 40) - 40 - 49岁,III (n = 38) - 50-59岁,IV (n = 46) - 60-69岁,V (n = 39) - 70-79岁。在Xario SSA-660A (Toshiba, Japan)设备,传感器- PST-30BT 3.0 MHz上进行连续波多普勒超声心动图、脉冲模式和血流和组织的彩色映射。评估心脏心室的收缩和舒张功能状态,计算心肌刚度指标。采用基于显著性特征的多元线性回归方程计算得到BA公式。心房大小随年龄增大,舒张功能不全,左、右心室心肌梗死增加。利用分步多元线性回归的方法,得到了人体心脏生物年龄的估算公式。多重相关系数值相当高,R = 0.847,调整后的决定系数R2 = 0.701 (F = 43.496, P小于0.00001)。年龄计算的平均绝对误差(M±σ)为5.55±4.24岁。提出的确定心脏生物年龄的公式可用于加速衰老的早期诊断。研究发现,在实际健康的人群中,随着年龄的增长,心房增大,左心房同心圆肥厚和舒张功能障碍的发展,以及心脏左右心室心肌僵硬度的增加。考虑超声心动图参数的年龄相关变化,采用多元线性回归方法建立了模型质量较好的心脏BA确定公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method for the biological age of the heart determination
Determination of the human heart biological age (BA) is relevant for timely stratification of the risk of developing diseases, prevention, control of individual aging rate and geroprotective therapy. Aim. To study age-related changes in echocardiographic examination of the heart and to develop a formula for estimating the BA of the human heart. Materials and methods. Echocardiographic examinations of the heart were performed in 188 practically healthy people aged 30 to 79 years (73 men and 115 women), who signed an informed consent and had no clinically significant diseases in the anamnesis or at the moment. The examined were divided into age groups: I (n = 25) – 30–39 years, II (n = 40) – 40–49 years, III (n = 38) – 50–59 years, IV (n = 46) – 60–69 years, V (n = 39) – 70–79 years old. Echocardiography with Doppler in continuous-wave, pulse modes and colour mapping of flow and tissue was performed on a device Xario SSA-660A (Toshiba, Japan), sensor – PST-30BT 3.0 MHz. The state of systolic and diastolic function of the ventricles of the heart was assessed, myocardial stiffness indicators were calculated. To obtain BA formula, the calculation of the multiple linear regression equation was used based on significant features. Results. Significant increase in atrial size with age, development of diastolic dysfunction, increase in left and right ventricular myocardial infarction were found. Based on the data of the study by the method of step-by-step multiple linear regression, a formula for estimating the biological age of the human heart was obtained. The multiple correlation coefficient was a fairly high value of R = 0.847, the adjusted coefficient of determination R2 = 0.701 (F = 43.496, P ˂ 0.00001). The mean absolute error of age calculation (M ± σ) was 5.55 ± 4.24 years. The proposed formula for determining the biological age of the heart can be used for early diagnosis of accelerated aging. Conclusions. An increase in the size of the atria, the development of concentric hypertrophy of the left atrium and diastolic dysfunction, and an increase in the myocardial stiffness of the left and right ventricles of the heart, which occur with age in practically healthy people, were revealed. A formula for determining the BA of the heart with good model quality was developed using the multiple linear regression method taking into account age-related changes in the echocardiographic parameters.
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来源期刊
Zaporozhye Medical Journal
Zaporozhye Medical Journal MEDICINE, GENERAL & INTERNAL-
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