Farm Injuries: Animal Most Common, Machinery Most Lethal: An NTDB Study

Author:

Damroth Karl1,Damroth Rachel1,Chaudhary Asad1,Erickson Anfin1,Heneghan Liam1,Hellenthal Nicholas1,Monie Daphne1,Cooper Shelby1,Anderson Mark1,Kaufman Theodor1

Affiliation:

1. Department of Surgery, Bassett Healthcare, Cooperstown, New York

Abstract

To characterize both emergency room (ER) and hospital discharge dispositions of patients presenting with farm-related injuries. The 2012 National Trauma Data Bank was queried in August 2017 for injuries occurring on a farm. Patients were stratified by gender, age group, race, Injury Severity Score (ISS), and injury type. We performed logistic regression analysis to correlate parameters with likelihood of discharge home or death. P values < 0.05 were considered significant. Five thousand six hundred thirty-one patients were identified, the majority of whom were male (72%) and white (85%). The most common mechanisms of injury included animal-related (29%), followed by falls, vehicles, and other causes. The highest ISSs were seen in vehicular injuries (11% ISS of 251) and the greatest fatality rate was seen in machinery injuries (4%). Four thousand seven hundred fifty-three (84%) patients were admitted to the hospital, and 4056 (72%) were discharged home from the ER or after hospitalization. One hundred thirty patients (2%) died of their farm-related injury. Most patients presenting to the ER with farm-related injuries survive, are admitted to the hospital, and are ultimately discharged home. Few patients die of their injuries. Animal injury is most common and machinery injury most lethal of farm trauma patients presenting to the ER.

Publisher

SAGE Publications

Subject

General Medicine

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3