Interaction between severe postoperative complications and adjuvant chemotherapy on overall survival after upfront resection of pancreatic ductal adenocarcinoma.

IF 3.6 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2026-10-07 eCollection Date: 2026-01-01 DOI:10.3389/fmed.2026.1968161
Shiwei Wu, Daobin Wang, Dongxing Zhang, Jiayue Zou, Xiaoyuan Hu, Jun He, Xiaofeng Xue, Lei Qin
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引用次数: 0

Abstract

Objective: Severe postoperative complications (Clavien-Dindo grade ≥3) occur in 10%-30% of patients after curative resection of pancreatic ductal adenocarcinoma (PDAC). Whether adjuvant chemotherapy modifies their impact on long-term survival remains unclear. This study aimed to systematically evaluate the interaction between severe complications and adjuvant chemotherapy after PDAC resection.

Methods: We retrospectively analyzed 383 patients with pathologically confirmed PDAC who underwent upfront curative-intent resection at our center between January 2018 and January 2024. Our institutional database initially contained 398 surgical records; 15 records meeting the R2 margin-status or M1-metastasis exclusion criteria were excluded, leaving 383 patients for the primary analysis. Median overall survival (OS) was estimated using the Kaplan-Meier method, and group comparisons were performed with the log-rank test. Covariates adjusted for in the multivariable Cox regression model included age, sex, BMI, tumor differentiation, margin status, vascular invasion, perineural invasion, lymph node ratio, and tumor size. Stratified Cox regression and interaction-effect models were further constructed. Exploratory recurrence-free survival (RFS) analyses defined an event as recurrence or death from any cause. Sensitivity analyses excluded patients with OS <60 days and, additionally, evaluated a 90-day threshold.

Results: Severe complications occurred in 40 of 383 patients (10.4%). Adjuvant chemotherapy was received by 16 of 40 patients (40.0%) in the severe-complication group and 205 of 343 patients (59.8%) in the non-severe-complication group (P = 0.026). Among patients who did not receive chemotherapy, median OS was significantly shorter in the severe-complication group than in the non-severe-complication group (7.9 vs. 14.6 months, P < 0.001); among those who received chemotherapy, the difference was not statistically significant (18.8 vs. 20.5 months, P = 0.445). In the interaction model, severe complications were associated with increased mortality in the no-chemotherapy stratum (HR: 4.18, 95% CI: 2.49-7.01, P < 0.001) but not in the chemotherapy stratum (HR: 1.24, 95% CI: 0.66-2.34, P = 0.511). In separate stratified Cox models adjusted for the same covariates, adjuvant chemotherapy was associated with lower mortality in the severe-complication group (HR: 0.15, 95% CI: 0.04-0.57, P = 0.005), whereas the association was not statistically significant in the non-severe-complication group (HR: 0.76, 95% CI: 0.56-1.03, P = 0.075). Exploratory RFS analysis showed shorter RFS among patients with severe complications (median 6.4 vs. 11.1 months; adjusted HR: 1.58, 95% CI: 1.09-2.28, P = 0.016).

Conclusions: In this retrospective cohort, severe complications were associated with worse OS among patients who did not receive adjuvant chemotherapy, whereas the association was not statistically significant among those who received chemotherapy. Because the severe-complication subgroup was small and treatment receipt was subject to postoperative selection, the interaction should be considered hypothesis-generating. These findings do not establish that adjuvant chemotherapy offsets the adverse prognostic association of severe complications and require prospective validation before informing treatment decisions.

严重术后并发症与辅助化疗对胰管腺癌前期切除术后总生存率的相互作用。
目的:根治性胰腺导管腺癌(PDAC)术后发生严重并发症(Clavien-Dindo分级≥3级)的比例为10%-30%。辅助化疗是否会改变其对长期生存的影响尚不清楚。本研究旨在系统评价PDAC切除术后严重并发症与辅助化疗的相互作用。方法:我们回顾性分析了383例病理证实的PDAC患者,这些患者于2018年1月至2024年1月在我们的中心接受了早期治愈性切除术。我们的机构数据库最初包含398例手术记录;15例符合R2边缘状态或m1转移排除标准的记录被排除,留下383例患者进行初步分析。采用Kaplan-Meier法估计中位总生存期(OS),采用log-rank检验进行组间比较。在多变量Cox回归模型中调整的协变量包括年龄、性别、BMI、肿瘤分化、边缘状态、血管侵犯、神经周围侵犯、淋巴结比例和肿瘤大小。进一步构建分层Cox回归模型和交互效应模型。探索性无复发生存(RFS)分析将复发或任何原因导致的死亡定义为事件。敏感性分析排除OS患者。结果:383例患者中有40例(10.4%)发生严重并发症。严重并发症组40例患者中有16例(40.0%)接受辅助化疗,非严重并发症组343例患者中有205例(59.8%)接受辅助化疗(P = 0.026)。在未接受化疗的患者中,严重并发症组的中位OS明显短于非严重并发症组(7.9 vs 14.6个月,P P = 0.445)。在相互作用模型中,严重并发症与非化疗层死亡率增加相关(HR: 4.18, 95% CI: 2.49-7.01, P = 0.511)。在对相同协变量进行校正的单独分层Cox模型中,严重并发症组的辅助化疗与较低的死亡率相关(HR: 0.15, 95% CI: 0.04-0.57, P = 0.005),而非严重并发症组的相关性无统计学意义(HR: 0.76, 95% CI: 0.56-1.03, P = 0.075)。探索性RFS分析显示,严重并发症患者的RFS较短(中位6.4 vs 11.1个月;调整后危险度:1.58,95% CI: 1.09-2.28, P = 0.016)。结论:在本回顾性队列研究中,未接受辅助化疗的患者出现严重并发症与较差的OS相关,而接受化疗的患者无统计学意义。由于严重并发症亚组较小,且治疗方案取决于术后选择,因此这种相互作用应被视为假设产生。这些发现并不能证明辅助化疗可以抵消严重并发症的不良预后关联,需要在决定治疗方案之前进行前瞻性验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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