使用种族中性和种族特定规范方程研究术前肺功能与肺叶切除术后并发症的关系。
Association of Pre-operative Lung Function with Complications after Lobectomy Using Race-Neutral and Race-Specific Normative Equations.
发表日期:2023 Oct 05
作者:
Ajay Sheshadri, Ravi Rajaram, Aaron Baugh, Mario Castro, Arlene Correa, Felipe Soto, Carrie R Daniel-MacDougall, Liang Li, Scott E Evans, Burton F Dickey, Ara A Vaporciyan, David E Ost
来源:
Annals of the American Thoracic Society
摘要:
进行肺功能测试 (PFT) 是为了在非小细胞肺癌 (NSCLC) 手术切除之前帮助患者选择。 PFT 数据的解释依赖于规范方程,该方程因种族而异,但使用特定种族或种族中性规范方程的肺功能与术后肺部并发症的关联强度是未知的。函数,使用种族中性或种族特定方程,与 NSCLC 肺叶切除术后的手术并发症进行比较。我们研究了 2001 年至 2021 年间接受 NSCLC 肺叶切除术并进行术前 PFT 的 3,311 名患者。我们使用全球肺功能倡议 (GLI) 方程来生成种族特定和种族中立的规范方程,以计算 1 秒内预测用力呼气量百分比 (FEV1pp)。感兴趣的主要结局是手术后 30 天内发生术后肺部并发症。我们使用未调整和种族调整的逻辑回归模型以及针对相关合并症进行调整的最小绝对收缩和选择算子 (LASSO) 分析来测量种族特异性和种族中性 FEV1pp 与肺部并发症的关联。接受手术的患者中有 31% 经历过肺部并发症。较高的 FEV1,无论是种族中性测量(FEV1pp 每 1% 变化,优势比 [OR] 0.98,95% 置信区间 [CI] 0.98-0.99,p<0.001)还是特定种族(FEV1pp 每 1% 变化,OR 0.98) FEV1pp(95% CI 0.98-0.98,p<0.001)标准方程与较少的术后肺部并发症相关。肺部并发症的受试者工作曲线下面积 (AUC) 在种族调整种族中性 (0.60) 和种族特定 (0.60) 模型中相似。使用 LASSO 回归,在种族中性模型(OR 0.99 每 1%,95% CI 0.98-0.99)和种族特定模型(OR 0.99 每 1%,95% CI 0.98)中,较高的 FEV1pp 同样与较低的肺部并发症发生率相关。 -0.99)。与所有种族中性模型相比,种族对肺部并发症的边际效应在所有种族特异性模型中均减弱。种族特异性或种族中性规范性 PFT 方程的选择不会对肺功能与肺并发症的关联产生有意义的影响。肺叶切除术治疗非小细胞肺癌,但种族中性方程的使用揭示了自我认定的种族对肺部并发症的额外影响。
Pulmonary function testing (PFT) is performed to aid patient selection prior to surgical resection for non-small cell lung cancer (NSCLC). Interpretation of PFT data relies on normative equations, which vary by race, but the relative strength of association of lung function using race-specific or race-neutral normative equations with post-operative pulmonary complications is unknown.To compare the strength of association of lung function, using race-neutral or race-specific equations, with surgical complications after lobectomy for NSCLC.We studied 3,311 patients who underwent lobectomy for NSCLC and had pre-operative PFTs performed from 2001-2021. We used Global Lung Function Initiative (GLI) equations to generate race-specific and race-neutral normative equations to calculate percent-predicted forced expiratory volume in 1 second (FEV1pp). The primary outcome of interest was the occurrence of post-operative pulmonary complications within 30 days of surgery. We used unadjusted and race-adjusted logistic regression models and least absolute shrinkage and selection operator (LASSO) analyses adjusted for relevant comorbidities to measure the association of race-specific and race-neutral FEV1pp with pulmonary complications.31% of patients who underwent surgery experienced a pulmonary complication. Higher FEV1, whether measured with race-neutral (Odds ratio [OR] 0.98 per 1% change in FEV1pp, 95% confidence interval [CI] 0.98-0.99, p<0.001) or race-specific (OR 0.98 per 1% change in FEV1pp, 95% CI 0.98-0.98, p<0.001) normative equations, was associated with fewer post-operative pulmonary complications. The area under the receiver operator curve (AUC) for pulmonary complications was similar for race-adjusted race-neutral (0.60) and race-specific (0.60) models. Using LASSO regression, higher FEV1pp was similarly associated with a lower rate of pulmonary complications in race-neutral (OR 0.99 per 1%, 95% CI 0.98-0.99) and race-specific models (OR 0.99 per 1%, 95% CI 0.98-0.99). The marginal effect of race on pulmonary complications was attenuated in all race-specific models compared to all race-neutral models.The choice of race-specific or race-neutral normative PFT equations does not meaningfully affect the association of lung function with pulmonary complications after lobectomy for NSCLC, but the use of race-neutral equations unmasks additional effects of self-identified race on pulmonary complications.