Centre of Excellence for Old Age Medicine, Gelre Hospitals, Apeldoorn and Zutphen, the Netherlands, Department of Surgery, University Medical Centre Utrecht, the Netherlands, Department of Surgery, Gelre Hospitals, Apeldoorn and Zutphen, the Netherlands.
Neth J Med. 2020 Sep;78(5):244-250.
Frailty screening in the emergency department may identify frail patients at risk for adverse outcomes. This study investigated if the Dutch Safety Management Program (VMS) screener predicts outcomes in older patients in the emergency department.
In this prospective cohort study, patients aged 70 years or older presenting to the emergency department were recruited on workdays between 10:00 AM and 7:00 PM from May 2017 until August 2017. Patients were screened in four domains: activities of daily living, malnutrition, risk of delirium, and risk of falling. After 90 days of follow up, mortality, functional decline, living situation, falls, readmission to the emergency department, and readmission to the hospital were recorded. VMS was studied using the total VMS score as a predictor with ROC curve analysis, and using a cut-off point to divide patients into frail and non-frail groups to calculate positive predictive value (PPV) and negative predictive value (NPV).
A total of 249 patients were included. Higher VMS score was associated with 90-day mortality (AUC 0.65, 95% CI 0.54-0.76) and falling (AUC 0.67, 95% CI 0.56-0.78). VMS frailty predicted mortality (PPV 0.15, NPV 0.94, p = 0.05) and falling (PPV 0.22, NPV 0.92, p = 0.02), but none of the other outcomes.
In this selected group of patients, higher VMS score was associated with 90-day mortality and falls. The low positive predictive value shows that the VMS screener is unsuitable for identifying high-risk patients in the ED. The high negative predictive value indicates that the screener can identify patients not at risk for adverse medical outcomes. This could be useful to determine which patients should undergo additional screening.
在急诊科进行虚弱筛查可能会识别出有发生不良结局风险的虚弱患者。本研究旨在调查荷兰安全管理程序(VMS)筛查器是否可预测急诊科老年患者的结局。
在这项前瞻性队列研究中,于 2017 年 5 月至 8 月工作日的上午 10 点至下午 7 点,在急诊科招募年龄在 70 岁或以上的患者。患者在四个领域进行筛查:日常生活活动、营养不良、谵妄风险和跌倒风险。在 90 天的随访后,记录死亡率、功能下降、生活状况、跌倒、急诊科再入院和住院再入院。使用 ROC 曲线分析 VMS 总分作为预测因子进行 VMS 研究,并使用截止值将患者分为虚弱和非虚弱组,以计算阳性预测值(PPV)和阴性预测值(NPV)。
共纳入 249 例患者。较高的 VMS 评分与 90 天死亡率(AUC 0.65,95%CI 0.54-0.76)和跌倒(AUC 0.67,95%CI 0.56-0.78)相关。VMS 虚弱预测死亡率(PPV 0.15,NPV 0.94,p = 0.05)和跌倒(PPV 0.22,NPV 0.92,p = 0.02),但其他结局均无预测价值。
在本研究选择的患者群体中,较高的 VMS 评分与 90 天死亡率和跌倒相关。较低的阳性预测值表明,VMS 筛查器不适合识别急诊科的高危患者。较高的阴性预测值表明,该筛查器可以识别无不良医疗结局风险的患者。这可能有助于确定哪些患者应进行额外的筛查。