Cong Zhang, Peidong Zhang, Deng Chen, Qian Wan, Gang Yin, Yang Liu, Jialiu Luo, Shunyao Chen, Zhiqiang Lin, Shuaipeng Gu, Hui Li, Liming Dong, Teding Chang, Zhaohui Tang
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A total of 2490 consecutive trauma patients who met the criteria consecutively were recruited and analyzed in the study. Risk factors for recurrent polytrauma were identified through the use of logistic regression analysis. A nomogram was created using the results from a multivariate logistic regression analysis and the rms package in R.</p><p><strong>Results: </strong>In polytrauma, the rate of recidivism was 44.6% (672/1507), then recidivists were predominantly male (80.4%) and frequently within the 45 to 54 year-old age range (51.3%). Recidivists in polytrauma patients overall had a median time to reinjury of 27 months, as measured by the interquartile range (IQR). The polytrauma patients in the recent traumatic event were often more severe than that in the initial event, as patients had higher ISS scores and lower GCS scores (P < 0.01). Moreover, polytrauma recidivism were associated with poorer prognosis and increased healthcare costs. Polytrauma patients with the specific characteristics were found to have a higher likelihood of experiencing a subsequent recurrence, including being male (OR = 3.82,95% CI: 2.21-6.83), aged 45-54 years old (OR = 2.62,95% CI: 2.13-6.32),experiencing sleep deprivation (OR = 2.38,95% CI: 1.32-4.25), working in construction (OR = 2.72,95% CI: 1.44-5.42), working as delivery staff (OR = 3.65,95% CI: 1.51-7.96) and being involved in an electric bicycle collision (OR = 2.85,95% CI: 1.31-5.64).</p><p><strong>Conclusion: </strong>Polytrauma recidivism is associated with a high recurrence rate, poorer clinical outcomes, and elevated healthcare costs. Key predictive markers for recidivism include being male, aged 45-54 years, experiencing sleep deprivation, employment in construction or delivery roles, and involvement in electric bicycle collisions. These findings highlight polytrauma recidivists as a critical target for primary prevention efforts. Public health strategies should prioritize tailored interventions to reduce recidivism, aiming to mitigate morbidity, mortality, and associated healthcare burdens in this high-risk population.</p>","PeriodicalId":48578,"journal":{"name":"Archives of Public Health","volume":"82 1","pages":"226"},"PeriodicalIF":3.2000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11600709/pdf/","citationCount":"0","resultStr":"{\"title\":\"Is polytrauma really just a simple accident? 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A total of 2490 consecutive trauma patients who met the criteria consecutively were recruited and analyzed in the study. Risk factors for recurrent polytrauma were identified through the use of logistic regression analysis. A nomogram was created using the results from a multivariate logistic regression analysis and the rms package in R.</p><p><strong>Results: </strong>In polytrauma, the rate of recidivism was 44.6% (672/1507), then recidivists were predominantly male (80.4%) and frequently within the 45 to 54 year-old age range (51.3%). Recidivists in polytrauma patients overall had a median time to reinjury of 27 months, as measured by the interquartile range (IQR). The polytrauma patients in the recent traumatic event were often more severe than that in the initial event, as patients had higher ISS scores and lower GCS scores (P < 0.01). Moreover, polytrauma recidivism were associated with poorer prognosis and increased healthcare costs. Polytrauma patients with the specific characteristics were found to have a higher likelihood of experiencing a subsequent recurrence, including being male (OR = 3.82,95% CI: 2.21-6.83), aged 45-54 years old (OR = 2.62,95% CI: 2.13-6.32),experiencing sleep deprivation (OR = 2.38,95% CI: 1.32-4.25), working in construction (OR = 2.72,95% CI: 1.44-5.42), working as delivery staff (OR = 3.65,95% CI: 1.51-7.96) and being involved in an electric bicycle collision (OR = 2.85,95% CI: 1.31-5.64).</p><p><strong>Conclusion: </strong>Polytrauma recidivism is associated with a high recurrence rate, poorer clinical outcomes, and elevated healthcare costs. Key predictive markers for recidivism include being male, aged 45-54 years, experiencing sleep deprivation, employment in construction or delivery roles, and involvement in electric bicycle collisions. These findings highlight polytrauma recidivists as a critical target for primary prevention efforts. 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引用次数: 0
摘要
背景:多发性创伤被定义为严重的创伤,并认为它是一种突发性和不可预测的事件。多发性创伤真的只是简单的意外事故吗?为了全面回答这个问题,本研究试图确定与多发性创伤累犯相关的频率和特定风险因素,同时比较累犯中最初和随后的伤害事件:2020年8月至2023年7月期间,在四家高级创伤中心的急诊外科或创伤重症监护室(TICU)开展了一项多中心回顾性队列研究。研究共招募并分析了2490名连续符合标准的创伤患者。通过逻辑回归分析确定了复发性多发性创伤的风险因素。利用多变量逻辑回归分析的结果和 R 软件包 rms 制作了一个提名图:在多发性创伤中,累犯率为 44.6%(672/1507),累犯主要为男性(80.4%),年龄多在 45 至 54 岁之间(51.3%)。根据四分位数间距(IQR)计算,多发性创伤患者再次受伤的中位时间为 27 个月。近期创伤事件中的多发性创伤患者往往比初次创伤事件中的多发性创伤患者病情更严重,因为患者的 ISS 评分更高,GCS 评分更低(P 结论:多发性创伤患者的再犯率比初次创伤事件中的再犯率更高,因为患者的 ISS 评分更高,GCS 评分更低):多发性创伤复发与高复发率、较差的临床疗效和较高的医疗费用有关。再犯的主要预测指标包括男性、45-54 岁、睡眠不足、从事建筑或送货工作以及参与电动自行车碰撞事故。这些发现突出表明,多发性创伤惯犯是初级预防工作的重要目标。公共卫生战略应优先考虑有针对性的干预措施,以减少累犯,从而降低这一高风险人群的发病率、死亡率和相关医疗负担。
Is polytrauma really just a simple accident? Recurrent characteristic of polytrauma.
Background: Polytrauma was defined as a severe traumatic injury and believed that it was a sudden and unpredictable incident. Is polytrauma really just a simple accident? In order to comprehensively answer this question, the study sought to determine the frequency and specific risk factors associated with polytrauma recidivism, while also comparing the initial and subsequent injury events among recidivists.
Methods: A multicenter, retrospective cohort study was conducted at four Advanced Trauma Centers' emergency surgery or traumatic intensive care units (TICUs) between August 2020 and July 2023. A total of 2490 consecutive trauma patients who met the criteria consecutively were recruited and analyzed in the study. Risk factors for recurrent polytrauma were identified through the use of logistic regression analysis. A nomogram was created using the results from a multivariate logistic regression analysis and the rms package in R.
Results: In polytrauma, the rate of recidivism was 44.6% (672/1507), then recidivists were predominantly male (80.4%) and frequently within the 45 to 54 year-old age range (51.3%). Recidivists in polytrauma patients overall had a median time to reinjury of 27 months, as measured by the interquartile range (IQR). The polytrauma patients in the recent traumatic event were often more severe than that in the initial event, as patients had higher ISS scores and lower GCS scores (P < 0.01). Moreover, polytrauma recidivism were associated with poorer prognosis and increased healthcare costs. Polytrauma patients with the specific characteristics were found to have a higher likelihood of experiencing a subsequent recurrence, including being male (OR = 3.82,95% CI: 2.21-6.83), aged 45-54 years old (OR = 2.62,95% CI: 2.13-6.32),experiencing sleep deprivation (OR = 2.38,95% CI: 1.32-4.25), working in construction (OR = 2.72,95% CI: 1.44-5.42), working as delivery staff (OR = 3.65,95% CI: 1.51-7.96) and being involved in an electric bicycle collision (OR = 2.85,95% CI: 1.31-5.64).
Conclusion: Polytrauma recidivism is associated with a high recurrence rate, poorer clinical outcomes, and elevated healthcare costs. Key predictive markers for recidivism include being male, aged 45-54 years, experiencing sleep deprivation, employment in construction or delivery roles, and involvement in electric bicycle collisions. These findings highlight polytrauma recidivists as a critical target for primary prevention efforts. Public health strategies should prioritize tailored interventions to reduce recidivism, aiming to mitigate morbidity, mortality, and associated healthcare burdens in this high-risk population.
期刊介绍:
rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.