墨西哥裔西班牙人的 DLNO 和 DLCO 参考方程:海拔和种族的影响。

IF 3.6 3区 医学 Q1 RESPIRATORY SYSTEM
Laura Gochicoa-Rangel, Ada De-Los-Santos-Martínez, Alejandro Reyes-García, David Martínez-Briseño, Mario H Vargas, Irma Lechuga-Trejo, Carlos Guzmán-Valderrábano, Luis Torre-Bouscoulet, Gerald Stanley Zavorsky
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引用次数: 0

摘要

研究目的本研究旨在评估在海拔 2240 米处出生和长大的墨西哥裔西班牙人(中原人)与在海平面出生和长大的墨西哥裔西班牙人(低地人)的肺一氧化氮弥散容量(DLNO)和肺一氧化碳弥散容量(DLCO)。研究还旨在评估与种族中性方程相比,特定种族的肺弥散容量参考方程(白人与墨西哥裔西班牙人)在最小化均方根误差(RMSE)方面的有效性:测量了 392 名墨西哥裔西班牙人(5 至 78 岁)的 DLNO、DLCO、肺泡容积(VA)和气体传递系数(KNO 和 KCO),并与 1056 名白人受试者(5 至 95 岁)进行了比较。使用分段线性回归(DLNO、DLCO 和 VA)和多元线性回归(KNO 和 KCO)建立了参考方程,并使用最小绝对收缩和选择操作器进行了验证。使用重复 k 倍交叉验证和随机森林对种族特异性模型和种族中性模型的 RMSE 进行了比较:结果:与低地人相比,中地人的 DLCO(平均差异:+4 mL/min/mm Hg)、DLNO(平均差异:+7 mL/min/mm Hg)和 VA(平均差异:+0.17 L)更高。贝叶斯信息标准倾向于种族特异性模型,排除种族作为协变量会使 RMSE 增加 61%(DLNO)、18%(DLCO)和 4%(KNO)。种族特异性模型和种族中性模型在 VA 和 KCO 方面的 RMSE 值相当。就 DLCO 和 DLNO 而言,与种族特异性方程相比,种族中性方程在墨西哥裔西班牙人中的假阳性率 (FPR) 为 3% 至 6%,在白人受试者中的假阴性率 (FNR) 为 20% 至 49%:结论:与低地居民相比,在海拔 2240 米处出生和长大的墨西哥裔西班牙人表现出更高的 DLCO 和 DLNO。与种族中立模型相比,将种族作为协变量纳入参考方程可降低 DLNO、DLCO 和 KNO 的均方根误差,并降低 FPR 和 FNR。这项研究强调,需要针对海拔高度和种族的参考方程来改进不同人群的肺功能评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reference equations for DLNO and DLCO in Mexican Hispanics: influence of altitude and race.

Objectives: This study aimed to evaluate pulmonary diffusing capacity for nitric oxide (DLNO) and pulmonary diffusing capacity for carbon monoxide (DLCO) in Mexican Hispanics born and raised at 2240 m altitude (midlanders) compared with those born and raised at sea level (lowlanders). It also aimed to assess the effectiveness of race-specific reference equations for pulmonary diffusing capacity (white people vs Mexican Hispanics) in minimising root mean square errors (RMSE) compared with race-neutral equations.

Methods: DLNO, DLCO, alveolar volume (VA) and gas transfer coefficients (KNO and KCO) were measured in 392 Mexican Hispanics (5 to 78 years) and compared with 1056 white subjects (5 to 95 years). Reference equations were developed using segmented linear regression (DLNO, DLCO and VA) and multiple linear regression (KNO and KCO) and validated with Least Absolute Shrinkage and Selection Operator. RMSE comparisons between race-specific and race-neutral models were conducted using repeated k-fold cross-validation and random forests.

Results: Midlanders exhibited higher DLCO (mean difference: +4 mL/min/mm Hg), DLNO (mean difference: +7 mL/min/mm Hg) and VA (mean difference: +0.17 L) compared with lowlanders. The Bayesian information criterion favoured race-specific models and excluding race as a covariate increased RMSE by 61% (DLNO), 18% (DLCO) and 4% (KNO). RMSE values for VA and KCO were comparable between race-specific and race-neutral models. For DLCO and DLNO, race-neutral equations resulted in 3% to 6% false positive rates (FPRs) in Mexican Hispanics and 20% to 49% false negative rates (FNRs) in white subjects compared with race-specific equations.

Conclusions: Mexican Hispanics born and raised at 2240 m exhibit higher DLCO and DLNO compared with lowlanders. Including race as a covariate in reference equations lowers the RMSE for DLNO, DLCO and KNO and reduces FPR and FNR compared with race-neutral models. This study highlights the need for altitude-specific and race-specific reference equations to improve pulmonary function assessments across diverse populations.

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来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
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