埃塞俄比亚一家大型三级转诊医院急诊室收治的休克患者的死亡率和预测因素

Kalsidagn Girma Asfaw (MD), Abel Getachew Adugna (MD, Nahom Mesfin Mekonen (MD), Tigist Workneh Leulseged (MD, MPH), Merahi Kefyalew Merahi (MD, MPH), Segni Kejela (MD), Fekadesilassie Henok Moges (MD)
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引用次数: 0

摘要

背景:休克是一种常见的急症,如不及时诊断和处理,可导致器官衰竭和死亡。尽管休克对全球影响巨大,但在埃塞俄比亚等资源有限的国家却缺乏相关数据,这阻碍了为改善患者预后而提供优质护理的工作。因此,本研究旨在确定在埃塞俄比亚圣保罗医院千禧医学院急诊科接受治疗的休克成年患者的死亡发生率和预测因素:2022 年 7 月至 9 月期间,对 2021 年 10 月至 2022 年 5 月期间在医院接受治疗的 178 名符合条件的成年患者进行了回顾性病历研究。研究人员用频率、中位数和四分位距总结了参与者的特征。死亡发生率是根据观察人时(PH)的发生率密度进行估算的。为确定死亡率的预测因素,在5%的显著性水平下,使用带有稳健标准误差的泊松回归模型运行广义线性模型,其中调整相对风险(ARR)及其95% CI用于解释显著结果:死亡发生率为每 1 000 PH 有 6.87 例死亡(95% CI= 5.44 至 8.69)。死亡的显著预测因素是橙色分诊(ARR=0.46,95% CI=0.24-0.88,P=0.020)、休克指数高(ARR=1.59,95% CI=1.07-2.36,P=0.021)、被诊断为脓毒性休克(ARR=3.66,95% CI=1.20-11.17,p=0.023),服用血管加压药(ARR=3.18,95% CI=1.09,9.27,p=0.034),出现器官衰竭(ARR=1.79,95% CI=1.04-3.07,p=0.035):结论:休克患者的死亡率相当高,但相对低于以往的研究。为了优化患者护理和改善预后,必须保持警惕,使用更灵敏的工具对休克进行正确分诊和早期诊断,以便及时发现高危病例,并提供及时、优先和有效的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incidence of Mortality and Predictors Among Patients with Shock Managed in the Emergency Room of a Large Tertiary Referral Hospital in Ethiopia
Background: Shock is a common emergency condition which can lead to organ failure and death if not diagnosed and managed timely. Despite its huge global impact, data is scarce in resource-limited settings, such as Ethiopia, which hinders the provision of quality care for improved patient outcomes. Hence, the aim of the study was to determine the incidence of death and predictors among adult patients with shock managed at the Emergency Department of St. Paul's Hospital Millennium Medical College in Ethiopia. Methods: A retrospective chart review study was conducted between July to September 2022 among 178 eligible adult patients who were managed at hospital between October 2021 and May 2022. The characteristics of the participants were summarized using frequency and median with interquartile range. The incidence of mortality was estimated using incidence density using person hour (PH) of observation. To identify predictors of mortality, a generalized linear model using poisson regression model with robust standard errors was run at 5% level of significance, where adjusted relative risk (ARR) with its 95% CI was used to interpret significant results Result: The incidence of death was 6.87 deaths per 1000 PH (95% CI= 5.44 to 8.69). Significant predictors of death were being triaged orange (ARR=0.46, 95% CI=0.24-0.88, p=0.020), having a high shock index (ARR=1.59, 95% CI=1.07-2.36, p=0.021), being diagnosed with septic shock (ARR=3.66, 95% CI=1.20-11.17, p=0.023), taking vasopressors (ARR=3.18, 95% CI=1.09, 9.27, p=0.034), and developing organ failure (ARR=1.79, 95% CI=1.04-3.07, p=0.035). Conclusion: The incidence of mortality among shock patients was found to be considerable but relatively lower than previous studies. To optimize patient care and improve outcomes, it is important to remain vigilant in the proper triage and early diagnosis of shock using more sensitive tools for prompt identification of high-risk cases, as well as to provide timely, prioritized and effective interventions.
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