Cardona-Morrell Magnolia, Hillman Ken
The Simpson Centre for Health Services Research, South Western Sydney Clinical School, The University of New South Wales, Kensington, NSW 2052, Australia.
The Simpson Centre for Health Services Research, South Western Sydney Clinical School, The University of New South Wales & Liverpool Hospital, Liverpool BC 1871, New South Wales, Australia.
BMJ Support Palliat Care. 2015 Mar;5(1):78-90. doi: 10.1136/bmjspcare-2014-000770. Epub 2015 Jan 5.
To develop a screening tool to identify elderly patients at the end of life and quantify the risk of death in hospital or soon after discharge for to minimise prognostic uncertainty and avoid potentially harmful and futile treatments.
Narrative literature review of definitions, tools and measurements that could be combined into a screening tool based on routinely available or obtainable data at the point of care to identify elderly patients who are unavoidably dying at the time of admission or at risk of dying during hospitalisation.
Variables and thresholds proposed for the Criteria for Screening and Triaging to Appropriate aLternative care (CriSTAL screening tool) were adopted from existing scales and published research findings showing association with either in-hospital, 30-day or 3-month mortality.
Eighteen predictor instruments and their variants were examined. The final items for the new CriSTAL screening tool included: age ≥65; meeting ≥2 deterioration criteria; an index of frailty with ≥2 criteria; early warning score >4; presence of ≥1 selected comorbidities; nursing home placement; evidence of cognitive impairment; prior emergency hospitalisation or intensive care unit readmission in the past year; abnormal ECG; and proteinuria.
An unambiguous checklist may assist clinicians in reducing uncertainty patients who are likely to die within the next 3 months and help initiate transparent conversations with families and patients about end-of-life care. Retrospective chart review and prospective validation will be undertaken to optimise the number of prognostic items for easy administration and enhanced generalisability. Development of an evidence-based tool for defining and identifying the dying patient in hospital: CriSTAL.
开发一种筛查工具,以识别处于生命末期的老年患者,并量化其在医院死亡或出院后不久死亡的风险,从而将预后的不确定性降至最低,并避免潜在的有害和无效治疗。
对定义、工具和测量方法进行叙述性文献综述,这些内容可基于在护理点常规可用或可获取的数据组合成一种筛查工具,以识别入院时不可避免即将死亡或住院期间有死亡风险的老年患者。
用于适当替代护理筛查和分诊标准(CriSTAL筛查工具)所提议的变量和阈值,采用了现有量表以及已发表的研究结果,这些结果显示与住院、30天或3个月死亡率相关。
检查了18种预测工具及其变体。新的CriSTAL筛查工具的最终项目包括:年龄≥65岁;符合≥2项恶化标准;衰弱指数符合≥2项标准;早期预警评分>4;存在≥1种选定的合并症;入住养老院;有认知障碍的证据;过去一年曾急诊住院或再次入住重症监护病房;心电图异常;以及蛋白尿。
一份明确的检查表可能有助于临床医生减少对未来3个月内可能死亡患者的不确定性,并有助于与家属和患者就临终护理展开透明的对话。将进行回顾性病历审查和前瞻性验证,以优化预后项目的数量,便于实施并提高通用性。开发一种基于证据的工具,用于在医院定义和识别临终患者:CriSTAL。