Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Support Care Cancer. 2022 Aug;30(8):6623-6631. doi: 10.1007/s00520-022-07075-6. Epub 2022 May 2.
Accurate prediction of survival is important to facilitate clinical decision-making and improve quality of care at the end of life. While it is well documented that survival prediction poses a challenge for treating physicians, the need for clinically valuable predictive factors has not been met. This study aims to quantify the prevalence of patient transfer 72 h before death onto the acute palliative care unit in a tertiary care center in Switzerland, and to identify factors predictive of 72-h mortality.
All patients hospitalized between January and December 2020 on the acute palliative care unit of the Competence Center Palliative Care of the Department of Radiation Oncology at the University Hospital Zurich were assessed. Variables were retrieved from the electronic medical records. Univariable and multivariable logistic regressions were used to identify predictors of mortality.
A total of 398 patients were screened, of which 188 were assessed. Every fifth patient spent less than 72 h on the acute palliative care unit before death. In multivariable logistic regression analysis, predictors for 72-h mortality after transfer were no prior palliative care consult (p = 0.011), no advance care directive (p = 0.044), lower performance status (p = 0.035), lower self-care index (p = 0.003), and lower blood albumin level (p = 0.026).
Late transfer to the acute palliative care unit is not uncommon, which can cause additional distress to patients and caretakers. Though clinically practical short-term survival predictors remain largely unidentified, early integration of palliative care should be practiced more regularly in patients with life-limiting illness.
准确预测生存对于促进临床决策和提高生命末期的医疗质量非常重要。尽管有充分的证据表明,对治疗医生来说,生存预测是一个挑战,但仍未满足对临床有价值的预测因素的需求。本研究旨在量化瑞士一家三级护理中心的急性姑息治疗病房中患者在死亡前 72 小时转入的发生率,并确定预测 72 小时死亡率的因素。
评估了 2020 年 1 月至 12 月期间在苏黎世大学医院放射肿瘤学系姑息治疗能力中心的急性姑息治疗病房住院的所有患者。从电子病历中检索变量。使用单变量和多变量逻辑回归来确定死亡率的预测因素。
共筛选了 398 名患者,其中评估了 188 名患者。每五个患者中就有一个在死亡前不到 72 小时在急性姑息治疗病房接受治疗。在多变量逻辑回归分析中,转移后 72 小时死亡的预测因素包括无先前姑息治疗咨询(p=0.011)、无预先医疗指示(p=0.044)、较低的表现状态(p=0.035)、较低的自我护理指数(p=0.003)和较低的血白蛋白水平(p=0.026)。
晚期转入急性姑息治疗病房并不罕见,这可能会给患者和护理人员带来额外的痛苦。虽然临床上实用的短期生存预测因素仍未得到充分确定,但应更经常地在患有生命有限疾病的患者中更早地整合姑息治疗。