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心脏疾病、高血压及对数左前降支冠状动脉辐射剂量对预测肺癌放疗后主要不良心脏事件的外部验证

External validation of ardiac disease, ypertension, and ogarithmic eft anterior descending coronary artery radiation dose for predicting major adverse cardiac events after lung cancer radiotherapy.

作者信息

Tjong M C, Zhang S C, Gasho J O, Silos K D, Gay C, McKenzie E M, Steers J, Bitterman D S, Nikolova A P, Nohria A, Hoffmann U, Brantley K D, Mak R H, Atkins K M

机构信息

Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, United States.

Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.

出版信息

Clin Transl Radiat Oncol. 2023 Jul 24;42:100660. doi: 10.1016/j.ctro.2023.100660. eCollection 2023 Sep.

DOI:10.1016/j.ctro.2023.100660
PMID:37545790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10403724/
Abstract

BACKGROUND AND PURPOSE

Major adverse cardiac events(MACE) are prevalent in patients with locally advanced-non-small cell lung cancer(LA-NSCLC) following radiotherapy(RT). The model, incorporating coronary heart disease(HD),pertension(HTN),ogarithmic ADV15 was developed and internally-validated to predict MACE among LA-NSCLC patients. We sought to externally validate CHyLL to predict MACE in an independent LA-NSCLC cohort.

PATIENTS AND METHODS

Patients with LA-NSCLC treated with RT were included. CHyLL score was calculated:5.51CHD + 1.28HTN + 1.48ln(LADV15 + 1)-1.36CHD*ln(LADV15 + 1). CHyLL performance in predicting MACE was assessed and compared to mean heart dose(MHD) using Cox-proportional hazard(PH) analyses and Harrel's concordance(C)-indices. MACE and overall survival(OS) among low-vs high-risk groups(CHyLL < 5 vs ≥ 5) were compared.

RESULTS

In the external validation cohort(N = 102), the median age was 71 years and 55% were females. Most(n = 74,73%), had clinical Stage III disease and 35(34%) underwent surgery. CHyLL demonstrated good MACE prediction with C-index of 0.73(95% Confidence Interval(CI):0.58-0.89), while MHD did not (C-index = 0.46 (95% CI:0.30-0.62)). Per CHyLL, 32(31%) and 70(69%) patients were considered low-and high-risk for MACE, respectively. CHyLL consistently identified lower MACE rates in the low-vs high-risk group(log-rank p = 0.108):0 vs 8%(12 months),5 vs 16%(24 months),5 vs 16%(36 months),and 5 vs 19%(48 months) post-RT. In the pooled internal and external validation cohort(N = 303), MACE rates in low-vs high-risk groups were statistically significantly different(log-rank p = 0.01):1 vs 6%(12 months),3 vs 12%(24 months),6 vs 19%(36 months),and 6 vs 21%(48 months).

CONCLUSIONS

CHyLL was externally validated and superior to MHD in predicting MACE. CHyLL has the potential to identify high-risk patients who may benefit from cardio-oncology optimization and to estimate personalized LADV15 constraints based on cardiac risk factors and acceptable MACE thresholds.

摘要

背景与目的

在接受放疗(RT)的局部晚期非小细胞肺癌(LA - NSCLC)患者中,主要不良心脏事件(MACE)很常见。开发并进行内部验证了包含冠心病(HD)、高血压(HTN)、对数化ADV15的模型,以预测LA - NSCLC患者中的MACE。我们试图在一个独立的LA - NSCLC队列中对CHyLL进行外部验证,以预测MACE。

患者与方法

纳入接受RT治疗的LA - NSCLC患者。计算CHyLL评分:5.51×冠心病 + 1.28×高血压 + 1.48×ln(ADV15 + 1) - 1.36×冠心病×ln(ADV15 + 1)。使用Cox比例风险(PH)分析和Harrel一致性(C)指数评估CHyLL在预测MACE方面的表现,并与平均心脏剂量(MHD)进行比较。比较低风险组与高风险组(CHyLL < 5 vs ≥ 5)中的MACE和总生存期(OS)。

结果

在外部验证队列(N = 102)中,中位年龄为71岁,55%为女性。大多数(n = 74,73%)为临床III期疾病,35例(34%)接受了手术。CHyLL在预测MACE方面表现良好,C指数为0.73(95%置信区间(CI):0.58 - 0.89),而MHD则不然(C指数 = 0.46(95% CI:0.30 - 0.62))。根据CHyLL,分别有32例(31%)和70例(69%)患者被认为MACE低风险和高风险。CHyLL始终显示低风险组的MACE发生率低于高风险组(对数秩p = 0.108):放疗后12个月为0% vs 8%,24个月为5% vs 16%,36个月为5% vs 16%,48个月为5% vs 19%。在汇总的内部和外部验证队列(N = 303)中,低风险组与高风险组的MACE发生率在统计学上有显著差异(对数秩p = 0.01):12个月时为1% vs 6%,24个月时为3% vs 12%,36个月时为6% vs 19%,48个月时为6% vs 21%。

结论

CHyLL在预测MACE方面经过了外部验证,且优于MHD。CHyLL有潜力识别可能从心脏肿瘤学优化中获益的高风险患者,并根据心脏危险因素和可接受的MACE阈值估计个性化的ADV15限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/211b6d904ea6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/1ed3330c6a0c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/645be6994b9e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/211b6d904ea6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/1ed3330c6a0c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/645be6994b9e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf5/10403724/211b6d904ea6/gr3.jpg

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