Suppr超能文献

加利福尼亚州洛杉矶县 COVID-19 大流行期间创伤患者收治趋势。

Trends in Trauma Admissions During the COVID-19 Pandemic in Los Angeles County, California.

机构信息

Division of Acute Care Surgery, University of Southern California, Los Angeles.

Department of Preventive Medicine, University of Southern California, Los Angeles.

出版信息

JAMA Netw Open. 2021 Feb 1;4(2):e211320. doi: 10.1001/jamanetworkopen.2021.1320.

Abstract

IMPORTANCE

Describing the changes in trauma volume and injury patterns during the course of the coronavirus disease 2019 (COVID-19) pandemic could help to inform policy development and hospital resource planning.

OBJECTIVE

To examine trends in trauma admissions throughout Los Angeles County (LAC) during the pandemic.

DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, all trauma admissions to the 15 verified level 1 and level 2 trauma centers in LAC from January 1 to June 7, 2020 were reviewed. All trauma admissions from the same period in 2019 were used as historical control. For overall admissions, the study period was divided into 3 intervals based on daily admission trend analysis (January 1 through February 28, March 1 through April 9, April 10 through June 7). For the blunt trauma subgroup analysis, the study period was divided into 3 similar intervals (January 1 through February 27, February 28 through April 5, April 6 through June 7).

EXPOSURES

COVID-19 pandemic.

MAIN OUTCOMES AND MEASURES

Trends in trauma admission volume and injury patterns.

RESULTS

A total of 6777 patients in 2020 and 6937 in 2019 met inclusion criteria. Of those admitted in 2020, the median (interquartile range) age was 42 (28-61) years and 5100 (75.3%) were men. Mechanisms of injury were significantly different between the 2 years, with a higher incidence of penetrating trauma and fewer blunt injuries in 2020 compared with 2019 (penetrating: 1065 [15.7%] vs 1065 [15.4%]; blunt: 5309 [78.3%] vs 5528 [79.7%]). Overall admissions by interval in 2020 were 2681, 1684, and 2412, whereas in 2019 they were 2462, 1862, and 2613, respectively. There was a significant increase in overall admissions per week during the first interval (incidence rate ratio [IRR], 1.02; 95% CI, 1.002-1.04; P = .03) followed by a decrease in the second interval (IRR, 0.92; 95% CI, 0.90-0.94; P < .001) and, finally, an increase in the third interval (IRR, 1.05; CI, 1.03-1.07; P < .001). On subgroup analysis, blunt admissions followed a similar pattern to overall admissions, while penetrating admissions increased throughout the study period.

CONCLUSIONS AND RELEVANCE

In this study, trauma centers throughout LAC experienced a significant change in injury patterns and admission trends during the COVID-19 pandemic. A transient decrease in volume was followed by a quick return to baseline levels. Trauma centers should prioritize maintaining access, capacity, and functionality during pandemics and other national emergencies.

摘要

重要性

描述 2019 年冠状病毒病(COVID-19)大流行期间创伤量和损伤模式的变化有助于为政策制定和医院资源规划提供信息。

目的

研究洛杉矶县(LAC)在大流行期间创伤入院人数的趋势。

设计、地点和参与者:在这项队列研究中,回顾了 2020 年 1 月 1 日至 6 月 7 日期间洛杉矶县 15 个经过验证的 1 级和 2 级创伤中心的所有创伤入院情况。2019 年同期的所有创伤入院情况均作为历史对照。对于整体入院人数,根据每日入院趋势分析,将研究期分为 3 个间隔(1 月 1 日至 2 月 28 日、3 月 1 日至 4 月 9 日、4 月 10 日至 6 月 7 日)。对于钝性创伤亚组分析,将研究期分为 3 个相似的间隔(1 月 1 日至 2 月 27 日、2 月 28 日至 4 月 5 日、4 月 6 日至 6 月 7 日)。

暴露因素

COVID-19 大流行。

主要结果和测量

创伤入院人数和损伤模式的趋势。

结果

2020 年共有 6777 例患者和 2019 年的 6937 例符合纳入标准。2020 年入院的患者中,中位数(四分位距)年龄为 42(28-61)岁,5100 例(75.3%)为男性。2 年间损伤机制明显不同,2020 年穿透性创伤的发生率较高,钝性损伤的发生率较低,与 2019 年相比(穿透伤:1065 [15.7%] vs 1065 [15.4%];钝性伤:5309 [78.3%] vs 5528 [79.7%])。2020 年各间隔的总入院人数分别为 2681、1684 和 2412,而 2019 年分别为 2462、1862 和 2613。第一间隔的总入院人数每周显著增加(发病率比[IRR],1.02;95%置信区间[CI],1.002-1.04;P=0.03),随后第二间隔的入院人数减少(IRR,0.92;95%CI,0.90-0.94;P<0.001),最后第三间隔的入院人数增加(IRR,1.05;CI,1.03-1.07;P<0.001)。亚组分析显示,钝性创伤的入院人数与整体入院人数相似,而穿透性创伤的入院人数则持续增加。

结论和相关性

在这项研究中,洛杉矶县的创伤中心在 COVID-19 大流行期间经历了损伤模式和入院人数趋势的显著变化。入院人数的短暂下降之后很快恢复到基线水平。创伤中心在大流行和其他国家紧急情况下应优先保持可及性、容量和功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5ec/7900857/a788d848385b/jamanetwopen-e211320-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验