2019 Fiscal Year Final Research Report
Diagnostic models for impending death in terminally-ill cancer patients: A multicenter cohort study.
Project/Area Number |
16K15418
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
General internal medicine(including psychosomatic medicine)
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Research Institution | Seirei Christopher University |
Principal Investigator |
Mori Masanori 聖隷クリストファー大学, 看護学研究科, 臨床講師 (10771868)
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Co-Investigator(Kenkyū-buntansha) |
森田 達也 聖隷クリストファー大学, 看護学研究科, 臨床教授 (70513000)
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Project Period (FY) |
2016-04-01 – 2020-03-31
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Keywords | 多施設研究組織構築 / 死亡直前期 / 予後予測モデル |
Outline of Final Research Achievements |
Accurate prediction of impending death is essential. We aimed to develop and validate a diagnostic model to predict death within 1 day in cancer patients whose Palliative Performance Scale (PPS) scores became</=20. In this multicenter, prospective cohort study, we consecutively enrolled advanced cancer patients admitted to 23 palliative care units. We documented 15 clinical signs associated with impending death daily from the day when PPS declined to less than 20 to death or 14 days later. We used recursive partitioning analyses to develop a model with the entire dataset and conducted cross-validation. 1396 of 1896 patients (74%) became PPS</=20. The final model was based on 3 variables and 4 terminal leaves for 1-day mortality. The 1-day mortality rates among patients with urine output (u/o)</=200 mL/day and respiration with mandibular movement (RMM), u/o</=200 mL/day and no RMM, u/o>200 mL/day and RASS </=-2, and u/o>200 mL/day and RASS</=-1 were 69%, 32%, 15%, and 6%, respectively.
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Free Research Field |
緩和ケア
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Academic Significance and Societal Importance of the Research Achievements |
患者の人生の最期の瞬間(死亡直前期)を精確に予測する尺度を開発したことは、家族が病室に付き添うかどうか、遠方の家族を呼ぶかどうか等の重要な意思決定に役立てられる上で臨床的意義が高い。多施設の緩和ケア専門家が終末期患者登録を完遂する効果的な研究体制を構築しえたことは、国際的にも知見の少ない終末期ケア領域において、今後本邦で持続可能な大規模研究の開発を行っていく上で意義深い。
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