Metabolic disease and adverse events from immune checkpoint inhibitors

超重 医学 危险系数 内科学 代谢综合征 血脂异常 体质指数 肥胖 不利影响 内分泌学 置信区间
作者
Amanda Leiter,Emily Carroll,Sonia De Alwis,Danielle Brooks,Jennifer Ben Shimol,Elliot Eisenberg,Juan P. de‐Torres,Matthew D. Galsky,Derek LeRoith
出处
期刊:European journal of endocrinology [Oxford University Press]
卷期号:184 (6): 857-865 被引量:16
标识
DOI:10.1530/eje-20-1362
摘要

Obese and overweight body mass index (BMI) categories have been associated with increased immune-related adverse events (irAEs) in patients with cancer receiving immune checkpoint inhibitors (ICIs); however, the impact of being overweight in conjunction with related metabolic syndrome-associated factors on irAEs have not been investigated. We aimed to evaluate the impact of overweight and obese BMI according to metabolic disease burden on the development of irAEs.We conducted a retrospective observational study of patients receiving ICIs at a cancer center. Our main study outcome was development of ≥grade 2 (moderate) irAEs. Our main predictor was weight/metabolic disease risk category: (1) normal weight (BMI 18.5-24.9 kg/m2)/low metabolic risk (<2 metabolic diseases [diabetes, dyslipidemia, hypertension]), (2) normal weight/high metabolic risk (≥2 metabolic diseases), (3) overweight (BMI ≥25 kg/m2)/low metabolic risk, and (4) overweight/high metabolic risk.Of 411 patients in our cohort, 374 were eligible for analysis. Overall, 111 (30%) patients developed ≥grade 2 irAEs. In Cox analysis, overweight/low metabolic risk was significantly associated with ≥grade 2 irAEs (hazard ratio [HR]: 2.0, 95% confidence interval [95% CI]: 1.2-3.4) when compared to normal weight/low metabolic risk, while overweight/high metabolic risk (HR: 1.3, 95% CI: 0.7-2.2) and normal weight/high metabolic risk (HR: 1.5, 95% CI: 0.7-3.0) were not.Overweight patients with fewer metabolic comorbidities were at increased risk for irAEs. This study provides an important insight that BMI should be evaluated in the context of associated metabolic comorbidities in assessing risk of irAE development and ICI immune response.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
NexusExplorer应助年轻的灵安采纳,获得10
刚刚
刚刚
刚刚
1秒前
1秒前
1秒前
怜寒完成签到,获得积分10
2秒前
CC关闭了CC文献求助
2秒前
swall5w发布了新的文献求助10
2秒前
wanci应助云雨无凭采纳,获得10
2秒前
lsl应助无聊的万天采纳,获得50
2秒前
2秒前
付1111发布了新的文献求助10
2秒前
wanci应助loster采纳,获得10
3秒前
3秒前
而当下的发布了新的文献求助10
3秒前
狂野芷波完成签到,获得积分10
3秒前
六六发布了新的文献求助10
4秒前
4秒前
在水一方应助小希采纳,获得10
4秒前
冷傲的锋发布了新的文献求助10
4秒前
传奇3应助学学学采纳,获得10
5秒前
BLUEEEE发布了新的文献求助10
5秒前
传奇3应助包容灭绝采纳,获得10
6秒前
科研通AI6.3应助糖豆子采纳,获得10
6秒前
NexusExplorer应助Leeny采纳,获得10
6秒前
6秒前
领导范儿应助小郭采纳,获得10
6秒前
vivy完成签到,获得积分10
7秒前
7秒前
李健应助微垣采纳,获得10
7秒前
FashionBoy应助那爱意有采纳,获得10
7秒前
冶金人完成签到,获得积分10
7秒前
ssiing完成签到,获得积分20
8秒前
8秒前
8秒前
8秒前
8秒前
9秒前
vivy发布了新的文献求助10
9秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6479284
求助须知:如何正确求助?哪些是违规求助? 8280538
关于积分的说明 17661444
捐赠科研通 5561878
什么是DOI,文献DOI怎么找? 2911396
邀请新用户注册赠送积分活动 1888408
关于科研通互助平台的介绍 1742449