心脏质量可以根据死后计算机断层扫描(PMCT)测量的心脏体积来预测,但精度有限。尽管与心脏质量有关,年龄,性别,和身体尺寸没有被包括在以前的研究使用心脏体积来估计心脏质量。这项研究旨在确定当年龄增长时心脏质量估计是否可以改善,性别,和身体尺寸以及心脏体积。调查了87例(24例女性)成年验尸病例。通过Spearman相关和简单线性回归确定心脏质量的单变量预测因子。使用逐步线性回归来生成心脏质量预测方程。使用中位数质量比较测试心脏质量估计性能,线性回归,还有Bland-Altman的阴谋.男性的心脏质量中位数(P=0.0008)和心脏体积(P=0.008)明显高于女性。除了女性和身体表面积(BSA),在所有病例(R2=0.72)以及男性病例(R2=0.70)和女性病例(R2=0.64)中,当分离时,心脏质量与心脏体积均存在单变量相关.在多变量回归中,心脏质量与年龄和BSA独立相关(R2调整=0.46~0.54).增加心脏体积改善了总队列中的多变量心脏质量预测(R2调整=0.78),男性(R2调整=0.74)和女性(R2调整=0.74)病例。根据包含心脏体积的多变量模型估计的心脏质量,年龄,性别,BSA对实际心脏质量的预测能力(R2=0.75-0.79)比纳入任何年龄的模型都更好,性别,仅BSA(R2=0.48-0.57)或仅心脏体积(R2=0.64-0.73)。心脏质量可以更准确地预测从PMCT测量的心脏体积时,结合经典的预测因子,年龄,性别,BSA。
Heart mass can be predicted from heart volume as measured from post-mortem computed tomography (PMCT), but with limited accuracy. Although related to heart mass, age, sex, and body dimensions have not been included in previous studies using heart volume to estimate heart mass. This study aimed to determine whether heart mass estimation can be improved when age, sex, and body dimensions are used as well as heart volume. Eighty-seven (24 female) adult post-mortem cases were investigated. Univariable predictors of heart mass were determined by Spearman correlation and simple linear regression. Stepwise linear regression was used to generate heart mass prediction equations. Heart mass estimate performance was tested using median mass comparison, linear regression, and Bland-Altman plots. Median heart mass (P = 0.0008) and heart volume (P = 0.008) were significantly greater in male relative to female cases. Alongside female sex and body surface area (BSA), heart mass was univariably associated with heart volume in all cases (R2 = 0.72) and in male (R2 = 0.70) and female cases (R2 = 0.64) when segregated. In multivariable regression, heart mass was independently associated with age and BSA (R2 adjusted = 0.46-0.54). Addition of heart volume improved multivariable heart mass prediction in the total cohort (R2 adjusted = 0.78), and in male (R2 adjusted = 0.74) and female (R2 adjusted = 0.74) cases. Heart mass estimated from multivariable models incorporating heart volume, age, sex, and BSA was more predictive of actual heart mass (R2 = 0.75-0.79) than models incorporating either age, sex, and BSA only (R2 = 0.48-0.57) or heart volume only (R2 = 0.64-0.73). Heart mass can be more accurately predicted from heart volume measured from PMCT when combined with the classical predictors, age, sex, and BSA.