Singh Satish Kumar, Sahu Ankit K, Kumar Akshay, Murmu L R, Bhoi Sanjeev, Aggarwal Praveen, Ekka Meera, Jamshed Nayer, Gopinath Bharath, Timilsina Ghanashyam
Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Department of Emergency Medicine, School of Medical Sciences and Research, Sharada University, Greater Noida, Uttar Pradesh, India.
J Emerg Trauma Shock. 2022 Jul-Sep;15(3):124-127. doi: 10.4103/jets.jets_146_21. Epub 2022 Sep 28.
Triage is a crucial process not only to identify sick patients and prioritize prompt management but also to foster efficient resource utilization. In low-and middle-income countries (LMICs) most emergency departments (ED) still have an informal triage process. Although an important element of emergency care, triage research has not been a priority in LMICs, and hence, very few triage systems have been validated. The All India Institute of Medical Sciences (AIIMS) triage protocol or ATP for adult patients was developed by expert consensus at AIIMS using the Delphi method. We attempted a prospective validation of the ATP in terms of mortality and intensive care unit (ICU)/hospital admission at 24 h.
Patients presenting to the ED, who were 14 years and above were included in the study. The patients were followed up at 24 h and their outcome documented on a standardized data collection form. Mortality and ICU admission were noted at 24 h.
A total of 15,505 patients were recruited. After exclusion, among 13,754 patients, 6303 (45.83%) were triaged red and 7451 (54.17%) were triaged yellow. Mortality at 24 h was 10.31% (650) in red triaged patients and 0.35% (26) in yellow triaged patients. The 24-h mortality of red triaged patients was significantly higher ( <0.001) than that of yellow triaged patients. The presence of one or more ATP "Red" criteria was 96.2% (95% confidence interval [CI]: 94.42%-97.47%) sensitive and 56.8% (95% CI: 55.92%-57.63%) specific in predicting 24-h mortality. The sensitivity and specificity of ATP "Red" criteria for 24-h ICU admission were 98.5% (95% CI: 97.7%-99.1%) and 59.6% (95% CI: 58.8%-60.5%), respectively.
When applied to adult nontrauma patients, ATP had a high accuracy in recognizing sick patients presenting to the ED. A time-tested and validated triage system like ATP may be a good starting point for public hospital EDs in LMICs.
分诊是一个关键过程,不仅用于识别病情严重的患者并优先进行及时处理,还用于促进资源的有效利用。在低收入和中等收入国家(LMICs),大多数急诊科(ED)仍采用非正式的分诊流程。尽管分诊是急诊护理的重要组成部分,但在LMICs中,分诊研究并非优先事项,因此,经过验证的分诊系统非常少。全印度医学科学研究所(AIIMS)的成人患者分诊协议(ATP)是由AIIMS的专家通过德尔菲法达成共识制定的。我们试图对ATP在24小时死亡率和重症监护病房(ICU)/住院情况方面进行前瞻性验证。
纳入到急诊科就诊的14岁及以上患者。在24小时对患者进行随访,并将其结果记录在标准化的数据收集表上。记录24小时时的死亡率和ICU入院情况。
共招募了15505名患者。排除后,在13754名患者中,6303名(45.83%)被分诊为红色,7451名(54.17%)被分诊为黄色。红色分诊患者24小时死亡率为10.31%(650例),黄色分诊患者为0.35%(26例)。红色分诊患者的24小时死亡率显著高于黄色分诊患者(<0.001)。存在一项或多项ATP“红色”标准在预测24小时死亡率方面的敏感度为96.2%(95%置信区间[CI]:94.42%-97.47%),特异度为56.8%(95%CI:55.92%-57.63%)。ATP“红色”标准对24小时ICU入院的敏感度和特异度分别为98.5%(95%CI:97.7%-99.1%)和59.6%(95%CI:58.8%-60.5%)。
当应用于成年非创伤患者时,ATP在识别到急诊科就诊的病情严重患者方面具有较高的准确性。像ATP这样经过时间检验和验证的分诊系统可能是LMICs公立医院急诊科的一个良好起点。