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肺移植供体的人体测量学研究。

An Anthropometric Study of Lung Donors.

机构信息

25139Temple University Hospital, Philadelphia, PA, USA.

12253University of Kentucky, Albert B Chandler Hospital, Lexington, KY, USA.

出版信息

Prog Transplant. 2021 Sep;31(3):211-218. doi: 10.1177/15269248211024611. Epub 2021 Jul 22.

Abstract

PURPOSE

A difference in the lower body to upper body ratio between similarly heighted individuals could lead to inadequately matched transplants. There has been a perception in clinical circles that body ratio varies between people of different races, and investigating this supposition would prove useful in increasing transplant match accuracy. The investigation's purpose was to derive an equation with a greater correlation to lung length than height alone.

METHODS

Lung transplantation donor data for 480 adult patients was obtained and divided by ethnicity-Caucasian, African American, and Hispanic. Height, weight, age, sex, right and left lung length were evaluated for significance. The R value of the multiple linear regression with these variables vs. lung length was determined and tested in a separate dataset of 100 patients.

RESULTS

Only the distribution of height was significant between the 3 ethnicities ( = 0.041). None of the ANCOVAs were significant ( < 0.05) or near significant ( < 0.10). For the strongest correlation model with lung length, height had a linear fit, weight had a cubic fit, and age had a logistic fit. Multiple regression models were successfully created for right lung (R = 0.202) and left lung (R = 0.213). Independent testing showed a correlation of 0.131 and 0.136, respectively.

CONCLUSION

Using demographic information from the donor and recipient as proxies for estimating lung size should only serve as a rough guide due to their weak correlation with lung length. As a result, for greater accuracy, donor-recipient matching should be individualized by taking donor and recipient chest X-Rays and/or TLC into consideration.

摘要

目的

身高相近的个体下身与上身比例的差异可能导致移植不匹配。临床医生普遍认为,不同种族的人体比例存在差异,研究这一假设将有助于提高移植匹配的准确性。本研究旨在推导出一个与身高相比与肺长度相关性更高的方程。

方法

获取了 480 名成人肺移植供体的数据,并按种族(白种人、非裔美国人、西班牙裔)进行了划分。评估了身高、体重、年龄、性别、左右肺长度的显著性。用这些变量与肺长度的多元线性回归的 R 值,并在 100 名患者的独立数据集进行了测试。

结果

只有 3 个种族的身高分布有显著差异( = 0.041)。没有一个协方差分析具有统计学意义( < 0.05)或接近统计学意义( < 0.10)。对于与肺长度相关性最强的模型,身高呈线性拟合,体重呈三次拟合,年龄呈逻辑拟合。成功地建立了右肺(R = 0.202)和左肺(R = 0.213)的多元回归模型。独立测试显示,两者的相关性分别为 0.131 和 0.136。

结论

由于与肺长度的相关性较弱,使用供体和受体的人口统计学信息作为估计肺大小的替代指标,仅应作为粗略的指导。因此,为了提高准确性,供体-受体匹配应个体化,考虑供体和受体的胸部 X 光片和/或 TLC。

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