超重和肥胖人群不同指标下左房扩张频率的比较。

Cvetanka Volkanovska Ilijevska, Valentina Andova, Ljubica Georgievska-Ismail
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引用次数: 0

摘要

背景:目前的指南推荐通过体表面积(BSA)索引左房容积(LAV)。然而,在超重和肥胖的个体中,这可能导致左房扩大(LAE)的低估。我们研究的目的是评估LAV对身高和/或身高平方的替代索引是否能更好地识别超重和/或肥胖人群中的LAE患者。方法:在斯科普里大学心脏病科门诊接受超声心动图检查的127例患者中,LAV与平均年龄45.7岁、平均体重指数34.9 kg/m2的BSA (LAVI)、身高(LAVh)和身高平方(LAVh2)相关。结果:LAVI、LAVh和LAVh2分别随BMI的增大而逐渐增大,在III类肥胖个体中LA大小增大最大。LAEh和LAEh2的患病率在肥胖人群中呈渐进式显著增加,其中III级肥胖人群的患病率最高(p=0.002, p=0.002),与LAEBSA相反,我们在肥胖人群中没有发现其分布的显著性。以身高的平方为索引时,重分类的程度最大,以身高为索引时,重分类的程度相对较小(p=0.0001)。重分类的程度因BMI的不同而不同,在III类肥胖患者中影响最大,分别有76.5%和88.2%的个体根据身高或身高的平方进行重分类。结论:与基于bsa的索引方法相比,使用身高,特别是身高的平方,在识别各类肥胖的LAE患病率方面更成功。使用异速生长指标法可以将LA大小从正常重新分类为扩张,特别是在女性和严重肥胖患者中,从而为识别更多不良事件风险增加的个体提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequency of Left Atrial Enlargement According to Different Modes of Indexing in Overweight and Obese Individuals.

Background: Current guidelines recommend indexing left atrial volume (LAV) by body surface area (BSA). However, in overweight and obese individuals this may result in the underestimation of left atrial enlargement (LAE). The aim of our study was to assess whether alternative LAV indexing to height and/or height-squared better identifies individuals with LAE among those who are overweight and/or obese. Methods: LAV was indexed to BSA (LAVI), height (LAVh), and height-squared (LAVh2) in 127 individuals with a mean age of 45.7 years and a mean body mass index (BMI) of 34.9 kg/m2 who underwent outpatient echocardiography at the University clinic of cardiology in Skopje. Results: LAVI, LAVh, and LAVh2 showed a progressive increase of respective values with the extent of BMI showing the most enlarged LA size in individuals with Class III obesity. There was a progressive significant increase in the prevalence of LAEh and LAEh2 in obese groups with the highest prevalence among those with class III obesity (p=0.002, p=0.002, respectively), on the contrary of LAEBSA where we could not find any significance in its distribution among obese classes. The greatest degree of reclassification occurred when indexing for height-squared, having relatively less reclassification when indexing for height (p=0.0001). The degree of reclassification varied depending on BMI with the greatest impact among the Class III obese patients, where as many as 76.5% and 88.2% of individuals were reclassified according to height or height-squared, respectively. Conclusions: The use of height, and especially height-squared, in comparison to BSA-based indexing methods are more successful in identifying the LAE prevalence in each class of obesity. Using allometric indexation leads to the significant reclassification of LA size from normal to dilated, especially in women and those with severe obesity, thereby providing an opportunity to identify more individuals at increased risk of adverse events.

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