Department of Medicine, Columbia University Medical Center, New York, New York.
Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
J Heart Lung Transplant. 2019 Dec;38(12):1246-1256. doi: 10.1016/j.healun.2019.08.013. Epub 2019 Aug 10.
Obesity is associated with an increased risk of primary graft dysfunction (PGD) after lung transplantation. The contribution of specific adipose tissue depots is unknown.
We performed a prospective cohort study of adult lung transplant recipients at 4 U.S. transplant centers. We measured cross-sectional areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) on chest and abdominal computed tomography (CT) scans and indexed each measurement to height. We used logistic regression to examine the associations of adipose indices and adipose classes with grade 3 PGD at 48 or 72 hours, and Cox proportional hazards models to examine survival. We used latent class analyses to identify the patterns of adipose distribution. We examined the associations of adipose indices with plasma biomarkers of obesity and PGD.
A total of 262 and 117 subjects had available chest CT scans and underwent protocol abdominal CT scans, respectively. In the adjusted models, a greater abdominal SAT index was associated with an increased risk of PGD (odds ratio 1.9, 95% CI 1.02-3.4, p = 0.04) but not with survival time. VAT indices were not associated with PGD risk or survival time. A greater abdominal SAT index correlated with greater pre- and post-transplant leptin (r = 0.61, p < 0.001, and r = 0.44, p < 0.001), pre-transplant IL-1RA (r = 0.25, p = 0.04), and post-transplant ICAM-1 (r = 0.25, p = 0.04). We identified 3 latent patterns of adiposity. The class defined by high thoracic and abdominal SAT had the greatest risk of PGD.
Subcutaneous, but not visceral, adiposity is associated with an increased risk of PGD after lung transplantation.
肥胖与肺移植后原发性移植物功能障碍(PGD)的风险增加有关。特定脂肪组织沉积的贡献尚不清楚。
我们在美国 4 个移植中心进行了一项前瞻性队列研究,纳入了成人肺移植受者。我们在胸部和腹部 CT 扫描上测量了皮下脂肪组织(SAT)和内脏脂肪组织(VAT)的横截面积,并将每个测量值与身高进行了指数化。我们使用逻辑回归检验了脂肪指数和脂肪分类与 48 或 72 小时时 3 级 PGD 的关联,并使用 Cox 比例风险模型检验了生存情况。我们使用潜在类别分析确定了脂肪分布模式。我们还检验了脂肪指数与肥胖和 PGD 的血浆生物标志物的关联。
共有 262 名患者有可用于分析的胸部 CT 扫描,117 名患者进行了协议规定的腹部 CT 扫描。在调整后的模型中,更大的腹部 SAT 指数与 PGD 风险增加相关(比值比 1.9,95%置信区间 1.02-3.4,p=0.04),但与生存时间无关。VAT 指数与 PGD 风险或生存时间无关。更大的腹部 SAT 指数与更高的术前和术后瘦素(r=0.61,p<0.001 和 r=0.44,p<0.001)、术前白细胞介素 1 受体拮抗剂(r=0.25,p=0.04)和术后细胞间黏附分子 1(r=0.25,p=0.04)相关。我们确定了 3 种肥胖的潜在模式。以高胸和腹部 SAT 为特征的分类与肺移植后 PGD 的风险增加相关。
与肺移植后 PGD 风险增加相关的是皮下脂肪组织,而不是内脏脂肪组织。