Faculdade das Américas, São Paulo, SP Brazil.
University of California San Diego Medical Center, San Diego, CA USA.
World J Emerg Surg. 2017 Mar 28;12:17. doi: 10.1186/s13017-017-0129-2. eCollection 2017.
The Trauma and Injury Severity Score (TRISS) has been criticized for being based on data from the USA and Canada-high-income countries-and therefore, it may not be applicable to low-income and middle-income countries. The present study evaluated the accuracy of three adjustments to the TRISS equation model (NTRISS-like; TRISS SpO; NTRISS-like SpO) in a high-income and a middle-income country to compare their performance when derived and applied to different groups.
This was a retrospective study of trauma patients admitted to two institutions: a university medical center in São Paulo, Brazil (a middle-income country), and a level 1 university trauma center in San Diego, USA (a high-income country). Patients were admitted between January 1, 2006, and December 31, 2010. The subjects were 2416 patients from Brazil and 8172 patients from the USA. All equations had adjusted coefficients for São Paulo and San Diego and for blunt and penetrating trauma. Receiver operating characteristic (ROC) curves were used to evaluate performance of the models.
Regardless of the population where the equation was generated, it performed better when applied to patients in the USA (AUC from 0.911 to 0.982) compared to patients in Brazil (AUC from 0.840 to 0.852). When the severity was considered and homogenized, the performance of equations were similar to both application in the USA and Brazil.
Survival probability models showed better performance when applied in data collected in the high-income countries (HIC) regardless the country they were derived. The severity is an important factor to consider when using non-adjusted survival probability models for the local population. Adjusted models for severely traumatized patients better predict survival probability in less severely traumatized populations. Other factors besides physiological and anatomical data may impact final outcomes and should be identified in each environment if they are to be used in the development of the trauma care performance improvement process in middle-income countries.
创伤和损伤严重度评分(TRISS)受到批评,因为它基于来自美国和加拿大的高收入国家的数据,因此,它可能不适用于低收入和中等收入国家。本研究评估了三种对 TRISS 方程模型(NTRISS 样;TRISS SpO;NTRISS 样 SpO)的调整在高收入和中等收入国家中的准确性,以比较它们在衍生和应用于不同人群时的性能。
这是一项对两家机构收治的创伤患者进行的回顾性研究:巴西圣保罗的一所大学医学中心(中等收入国家)和美国圣地亚哥的一级大学创伤中心(高收入国家)。患者于 2006 年 1 月 1 日至 2010 年 12 月 31 日期间入院。巴西有 2416 名患者,美国有 8172 名患者。所有方程都调整了圣保罗和圣地亚哥的系数,以及钝器伤和穿透伤的系数。使用受试者工作特征(ROC)曲线评估模型的性能。
无论方程是在哪个国家生成的,它在应用于美国患者时的性能都更好(AUC 从 0.911 到 0.982),而在应用于巴西患者时的性能则较差(AUC 从 0.840 到 0.852)。当考虑严重程度并使其均匀化时,方程在应用于美国和巴西的表现相似。
无论其来源国家如何,在高收入国家(HIC)收集的数据中应用生存概率模型时,表现更好。对于当地人群,使用未经调整的生存概率模型时,严重程度是一个重要因素。对于严重创伤患者的调整模型可以更好地预测在创伤程度较轻的人群中的生存概率。除生理和解剖数据外,其他因素也可能影响最终结果,如果要将其用于中等收入国家创伤护理绩效改进过程的开发,应在每个环境中识别这些因素。