응급실에서 빠른 순차적장기부전사정을 통한 쯔쯔가무시병의 경과 예측Quick Sequential Organ Failure Assessment (qSOFA) to predict clinical outcome in tsutsugamushi disease patients in emergency department
- Other Titles
- Quick Sequential Organ Failure Assessment (qSOFA) to predict clinical outcome in tsutsugamushi disease patients in emergency department
- Authors
- 박종민; 이동욱; 문형준; 이현정; 김도의; 정동길; 조성필; 김현준; 이정원; 최재형
- Issue Date
- Feb-2020
- Publisher
- 대한응급의학회
- Keywords
- Scrub typhus; APACHE; Organ dysfunction scores
- Citation
- 대한응급의학회지, v.31, no.1, pp 99 - 104
- Pages
- 6
- Journal Title
- 대한응급의학회지
- Volume
- 31
- Number
- 1
- Start Page
- 99
- End Page
- 104
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/3656
- ISSN
- 1226-4334
- Abstract
- Objective: Tsutsugamushi disease is a febrile illness caused by tick bites. Delay in making the diagnosis and treatment cause an increase of the frequency of complications and mortality. The aim of this study was to determine quick sequential organ failure assessment (qSOFA) to predict the clinical outcome of scrub typhus patients in emergency departments.
Methods: This was a retrospective, observational study of patients with tsutsugamushi disease and who presented to the emergency department of an urban hospital and a rural tertiary hospital between January 2013 and December 2018. The demographic and laboratory data was collected through a chart review. Statistical analysis was performed by dividing the patients into the general ward admission group (general ward) and the intensive care unit admission group (ICU).
Results: Age, Acute Physiology and Chronic Health Evaluation II (APACHE) II score and laboratory tests such as pH, leukocyte count, C-reactive protein, and procalcitonin also showed significant differences between the general ward and ICU groups on the univariable logistic regression analysis, but only the qSOFA score among the variables showed a significant difference on the multivariate logistic regression analysis (P=0.014).
Conclusion: The qSOFA score will be a prompt and useful tool for predicting the prognosis of patients with tsutsugamushi disease in the emergency department.
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