Department of Oncology and Palliative Medicine, Nordland Hospital, 8092, Bodø, Norway.
Department of Clinical Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsö, Norway.
Radiat Oncol. 2022 May 12;17(1):92. doi: 10.1186/s13014-022-02062-x.
Established prognostic models, such as the diagnosis-specific graded prognostic assessment, were not designed to specifically address very short survival. Therefore, a brain metastases-specific 30-day mortality model may be relevant. We hypothesized that in-depth evaluation of a carefully defined cohort with short survival, arbitrarily defined as a maximum of 3 months, may provide signals and insights, which facilitate the development of a 30-day mortality model.
Retrospective analysis (2011-2021) of patients treated for brain metastases with different approaches. Risk factors for 30-day mortality from radiosurgery or other primary treatment were evaluated.
The cause of death was unrelated to brain metastases in 61%. Treatment-related death (grade 5 toxicity) did not occur. Completely unexpected death was not observed, e.g. accident, suicide or sudden cardiac death. Logistic regression analysis showed 9 factors associated with 30-day mortality (each assigned 3-6 points) and a point sum was calculated for each patient. The point sum ranged from 0 (no risk factors for death within 30 days present) to 30. The results can be grouped into 3 or 4 risk categories. Eighty-three percent of patients in the highest risk group (> 16 points) died within 30 days, and none survived for more than 2 months. However, many cases of 30-day mortality (more than half) occurred in intermediate risk categories.
Extracranial tumor progression was the prevailing cause of 30-day mortality and few, if any deaths could be considered relatively unexpected when looking at the complete oncological picture. We were able to develop a multifactorial prediction model. However, the model's performance was not fully satisfactory and it is not routinely applicable at this point in time, because external validation is needed to confirm our hypothesis-generating findings.
已建立的预后模型,如特定于诊断的分级预后评估,并非专门用于解决极短生存时间的问题。因此,一个针对脑转移的 30 天死亡率模型可能是相关的。我们假设,对生存时间极短(定义为最长 3 个月)的精心定义的队列进行深入评估,可能会提供信号和见解,从而有助于开发 30 天死亡率模型。
回顾性分析(2011-2021 年)接受不同方法治疗脑转移的患者。评估了立体定向放射外科或其他主要治疗方法的 30 天死亡率的危险因素。
61%的患者死亡原因与脑转移无关。未发生治疗相关死亡(5 级毒性)。未观察到完全意外的死亡,例如意外、自杀或心源性猝死。逻辑回归分析显示 9 个与 30 天死亡率相关的因素(每个因素赋值 3-6 分),并为每个患者计算了总分。总分范围从 0(30 天内无死亡风险因素)到 30。结果可分为 3 或 4 个风险类别。最高风险组(>16 分)的 83%患者在 30 天内死亡,没有患者存活超过 2 个月。然而,许多 30 天死亡率病例(超过一半)发生在中危类别。
颅外肿瘤进展是 30 天死亡率的主要原因,当综合考虑整个肿瘤学情况时,很少有(如果有的话)死亡可以被认为是相对意外的。我们能够开发出一种多因素预测模型。然而,该模型的性能并不完全令人满意,目前还不能常规应用,因为需要外部验证来证实我们的假设生成结果。