King Amanda L, Roche Kayla N, Vera Elizabeth, Pillai Valentina, Polskin Lily, Acquaye-Mallory Alvina A, Boris Lisa, Burton Eric, Choi Anna, Grajkowska Ewa, Leeper Heather E, Panzer Marissa, Penas-Prado Marta, Reyes Jennifer, Sahebjam Solmaz, Theeler Brett J, Wu Jing, Gilbert Mark R, Armstrong Terri S
Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, Maryland, USA.
Neurooncol Pract. 2024 Jul 19;12(1):76-86. doi: 10.1093/nop/npae067. eCollection 2025 Feb.
This study explored differences in patient-reported outcomes (PROs) for patients with central nervous system (CNS) tumors during COVID, compared to pre-pandemic assessments, in light of impacted access to in-person care.
Patient-reported outcomes (PROMIS-Anxiety and Depression Short-Forms, EQ-5D-3L, MDASI-BT/Spine, NeuroQoL-Perceived Cognitive Functioning) were collected from 149 participants on the Neuro-Oncology Branch Natural History Study seen during the first year of COVID between March 2020 and February 2021, which were compared to assessments collected pre-COVID. Paired sample -tests and proportion tests (-tests) were used to compare PROs with effect sizes reported using Hedges and Cohen's . Logistic regression models with backwards selection were used to identify risk factors for high levels of depression and anxiety pre- and during COVID.
Participants were primarily male (54%) and Caucasian (84%) with a median age of 46 (range 20-79) and 66% had high-grade tumors. More patients reported moderate-severe depressive symptoms during the COVID year, compared to pre-COVID assessments (13% vs 8%, Cohen's = 0.17, = .021), with modest increases in symptom burden and cognitive dysfunction reported as well. Logistic regressions revealed that during COVID, concurrent moderate-severe distress and low tumor grade predicted depression and anxiety, with psychotropic medication use also predicting depression while active treatment predicted anxiety.
During COVID, patients experienced higher levels of depression, which has the potential to negatively influence treatment success and survival. Future work is needed to incorporate innovative tools and interventions that can be utilized remotely to identify and target mood disturbance in these vulnerable patients.
鉴于亲自就诊受到影响,本研究探讨了与疫情前评估相比,中枢神经系统(CNS)肿瘤患者在新冠疫情期间患者报告结局(PROs)的差异。
从2020年3月至2021年2月新冠疫情第一年期间参与神经肿瘤学分支自然史研究的149名参与者中收集患者报告结局(PROMIS焦虑和抑郁简表、EQ-5D-3L、MDASI-BT/脊柱、NeuroQoL感知认知功能),并与疫情前收集的评估结果进行比较。采用配对样本t检验和比例检验(z检验)比较PROs,并使用Hedges's和Cohen's d报告效应大小。采用向后选择的逻辑回归模型确定疫情前和疫情期间抑郁和焦虑水平较高的风险因素。
参与者主要为男性(54%)和白种人(84%),中位年龄为46岁(范围20-79岁),66%患有高级别肿瘤。与疫情前评估相比,更多患者在新冠疫情年报告有中度至重度抑郁症状(13%对8%,Cohen's d = 0.17,P = 0.021),症状负担和认知功能障碍也有适度增加。逻辑回归显示,在新冠疫情期间,同时存在中度至重度痛苦和低肿瘤分级可预测抑郁和焦虑,使用精神药物也可预测抑郁,而积极治疗可预测焦虑。
在新冠疫情期间,患者经历了更高水平的抑郁,这有可能对治疗成功和生存产生负面影响。未来需要开展工作,纳入可远程使用的创新工具和干预措施,以识别和针对这些脆弱患者的情绪障碍。