dc.contributor.author | Nieder, Carsten | |
dc.contributor.author | Stanisavljevic, Luka | |
dc.contributor.author | Aanes, Siv Gyda | |
dc.contributor.author | Mannsåker, Bård | |
dc.contributor.author | Haukland, Ellinor Christin | |
dc.date.accessioned | 2022-10-21T08:11:10Z | |
dc.date.available | 2022-10-21T08:11:10Z | |
dc.date.issued | 2022-05-12 | |
dc.description.abstract | Background: 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.<p>
<p>Methods: 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.
<p>Results: 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.
<p>Conclusion: 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. | en_US |
dc.identifier.citation | Nieder, Stanisavljevic, Aanes, Mannsåker, Haukland. 30-day mortality in patients treated for brain metastases: extracranial causes dominate. Radiation Oncology. 2022;17(1) | en_US |
dc.identifier.cristinID | FRIDAID 2062909 | |
dc.identifier.doi | 10.1186/s13014-022-02062-x | |
dc.identifier.issn | 1748-717X | |
dc.identifier.uri | https://hdl.handle.net/10037/27101 | |
dc.language.iso | eng | en_US |
dc.publisher | BMC | en_US |
dc.relation.journal | Radiation Oncology | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en_US |
dc.title | 30-day mortality in patients treated for brain metastases: extracranial causes dominate | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |