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首页> 外文期刊>PLoS Medicine >Association between prehospital time and outcome of trauma patients in 4 Asian countries: A cross-national, multicenter cohort study
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Association between prehospital time and outcome of trauma patients in 4 Asian countries: A cross-national, multicenter cohort study

机译:4个亚洲国家创伤患者的前孢子时间和结果之间的关联:跨国,多中心队列研究

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Background Whether rapid transportation can benefit patients with trauma remains controversial. We determined the association between prehospital time and outcome to explore the concept of the “golden hour” for injured patients. Methods and findings We conducted a retrospective cohort study of trauma patients transported from the scene to hospitals by emergency medical service (EMS) from January 1, 2016, to November 30, 2018, using data from the Pan-Asia Trauma Outcomes Study (PATOS) database. Prehospital time intervals were categorized into response time (RT), scene to hospital time (SH), and total prehospital time (TPT). The outcomes were 30-day mortality and functional status at hospital discharge. Multivariable logistic regression was used to investigate the association of prehospital time and outcomes to adjust for factors including age, sex, mechanism and type of injury, Injury Severity Score (ISS), Revised Trauma Score (RTS), and prehospital interventions. Overall, 24,365 patients from 4 countries (645 patients from Japan, 16,476 patients from Korea, 5,358 patients from Malaysia, and 1,886 patients from Taiwan) were included in the analysis. Among included patients, the median age was 45 years (lower quartile [Q1]–upper quartile [Q3]: 25–62), and 15,498 (63.6%) patients were male. Median (Q1–Q3) RT, SH, and TPT were 20 (Q1–Q3: 12–39), 21 (Q1–Q3: 16–29), and 47 (Q1–Q3: 32–60) minutes, respectively. In all, 280 patients (1.1%) died within 30 days after injury. Prehospital time intervals were not associated with 30-day mortality. The adjusted odds ratios (aORs) per 10 minutes of RT, SH, and TPT were 0.99 (95% CI 0.92–1.06, p = 0.740), 1.08 (95% CI 1.00–1.17, p = 0.065), and 1.03 (95% CI 0.98–1.09, p = 0.236), respectively. However, long prehospital time was detrimental to functional survival. The aORs of RT, SH, and TPT per 10-minute delay were 1.06 (95% CI 1.04–1.08, p 0.001), 1.05 (95% CI 1.01–1.08, p = 0.007), and 1.06 (95% CI 1.04–1.08, p 0.001), respectively. The key limitation of our study is the missing data inherent to the retrospective design. Another major limitation is the aggregate nature of the data from different countries and unaccounted confounders such as in-hospital management. Conclusions Longer prehospital time was not associated with an increased risk of 30-day mortality, but it may be associated with increased risk of poor functional outcomes in injured patients. This finding supports the concept of the “golden hour” for trauma patients during prehospital care in the countries studied.
机译:背景如何快速运输可以使创伤患者受益仍然存在争议。我们确定了在前的时间和结果之间的关联,以探讨受伤患者的“黄金时刻”的概念。方法和调查结果我们通过从2016年1月1日至2018年11月30日,利用来自Pan-Asia Trauma成果研究(Patos)的数据,从现场向医院运送到医院的创伤患者的重新调整队列研究数据库。前的时间间隔被分类为响应时间(RT),现场到医院时间(SH),以及总预挖掘时间(TPT)。结果是30天的死亡率和医院放电的功能状况。多变量的逻辑回归用于调查新孢子时间和结果的关联,以调整因素,包括伤害,性别,机制和伤害类型,伤害严重程度评分(ISS),修订创伤评分(RTS)和预孢子干预措施。总体而言,来自4个国家的24,365名患者(来自日本645名患者,来自韩国的16,476名患者,来自马来西亚的5,358名患者和来自台湾的1,886名患者)被纳入分析中。在包括的患者中,中位年龄为45岁(低四分位[Q1] -Upper四分位[Q3]:25-62),15,498名(63.6%)患者是男性。中值(Q1-Q3)RT,SH和TPT分别为20(Q1-Q3:12-39),21(Q1-Q3:16-29)和47(Q1-Q3:32-60)分钟。总而言之,280名患者(1.1%)在受伤后30天内死亡。前孢子时间间隔与30天死亡率无关。 RT,SH和TPT的调节的ODA比(AOR)为0.99(95%CI 0.92-1.06,P = 0.740),1.08(95%CI 1.00-1.7,P = 0.065)和1.03(95 %CI 0.98-1.09,P = 0.236)。然而,长期的孢子时间对功能存活有害。 RT,SH的AOR和每10分钟延迟的TPT为1.06(95%CI 1.04-1.08,P <0.001),1.05(95%CI 1.01-1.08,P = 0.007)和1.06(95%CI 1.04 -1.08,p <0.001)。我们研究的关键限制是缺失的回顾设计所固有的数据。另一个主要限制是来自不同国家的数据的总体性质和医院内部管理的未计算混乱。结论较长的孢子时间与30天死亡率的风险增加无关,但可能与受伤患者功能不良的风险增加有关。这一发现支持在研究的各国在前护理期间为创伤患者的“金色小时”的概念。

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