Emergency Department, San Luigi Gonzaga University Hospital, Regione Gonzole 10, 10043, Orbassano, Turin, Italy.
Internal Medicine Department, San Luigi Gonzaga University Hospital, Regione Gonzole 10, 10043, Orbassano, Turin, Italy.
Intern Emerg Med. 2019 Oct;14(7):1073-1082. doi: 10.1007/s11739-019-02049-9. Epub 2019 Feb 18.
Resource allocation in our overcrowded hospitals would require classification of inpatients according to the severity of illness, the evolving risk and the clinical complexity. Reverse triage (RT) is a method used in disasters to identify inpatients according to their use of hospital resources. The aim of this observational prospective study is to evaluate the use of RT in medical inpatients of an Italian Hospital and to compare the RT score with National Early Warning Score, Sequential Organ Failure Assessment and Charlson Comorbidity Index. Cluster sampling was performed on high dependency unit (HDU), geriatrics (Ger) and internal medicine (IM) wards. We calculate RT, NEWS, SOFA and CCI from inpatient charts. Length of stay (LOS), transfer to a higher level of care, death and discharge date were collected after 30 days. We obtained demographics, comorbidities, severity and clinical complexity of 260 inpatients. We highlighted differences in NEWS, SOFA and CCI in the three divisions. On the contrary RT score was uniformly high (median 7), with 85% of patients with RT = 8. NEWS, SOFA and CCI were higher in patients with higher RT score. We used the sum of the interventions listed by RT (RT sum) as a proxy of the level of care needed. RT-sum showed moderate correlation with NEWS (r = 0.52 Spearman, p < 0.001). RT-sum was the highest in HDU, related to the evolving severity of HDU patients. Ger patients that showed the highest CCI score (with all patients in the CCI ≥ 3 category) had the second highest RT-sum. RT score showed similar values in the majority of the inpatients regardless of differences in NEWS, SOFA and CCI in different ward subgroups. RT-sum is related both to evolving severity (NEWS) and to clinical complexity (CCI). RT and NEWS could predict inpatient level of care and resource need associated with CCI.
在我们人满为患的医院中,资源分配需要根据疾病的严重程度、病情变化的风险和临床复杂性对住院患者进行分类。反向分类(RT)是灾害中用于根据患者对医院资源的使用情况来识别住院患者的一种方法。本观察性前瞻性研究的目的是评估 RT 在意大利一家医院的内科住院患者中的使用情况,并将 RT 评分与国家早期预警评分(NEWS)、序贯器官衰竭评估(SOFA)和 Charlson 合并症指数(CCI)进行比较。我们对高依赖病房(HDU)、老年科(Ger)和内科(IM)病房进行了聚类抽样。我们从住院病历中计算 RT、NEWS、SOFA 和 CCI。在 30 天后收集住院时间(LOS)、转移到更高水平的护理、死亡和出院日期。我们获得了 260 名住院患者的人口统计学、合并症、严重程度和临床复杂性数据。我们在三个科室中比较了 NEWS、SOFA 和 CCI 的差异。相反,RT 评分普遍较高(中位数为 7),85%的患者 RT=8。RT 评分较高的患者 NEWS、SOFA 和 CCI 更高。我们将 RT 列出的干预措施总和(RT 总和)作为需要护理水平的替代指标。RT-sum 与 NEWS 呈中度相关(Spearman r=0.52,p<0.001)。在 HDU 中,RT-sum 最高,这与 HDU 患者病情的不断变化严重程度有关。CCI 评分最高(所有患者均处于 CCI≥3 类别)的老年科患者的 RT-sum 第二高。RT 评分在大多数住院患者中具有相似的值,无论在不同病房亚组中 NEWS、SOFA 和 CCI 的差异如何。RT-sum 与不断变化的严重程度(NEWS)和临床复杂性(CCI)都有关。RT 和 NEWS 可以预测住院患者的护理水平和与 CCI 相关的资源需求。