지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한응급의학회 Clinical and Experimental Emergency Medicine Clinical and Experimental Emergency Medicine Vol.8 No.3
- 발행연도
- 2021.9
- 수록면
- 229 - 236 (8page)
- DOI
- https://doi.org/10.15441/ceem.20.113
이용수
초록· 키워드
오류제보하기
Objective The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-hospital mortality associated with AP using an artificial neural network (ANN) model. Methods In this multicenter retrospective study, ANN and logistic regression models were constructed using the clinical and laboratory data of 1,304 patients seeking emergency treatment for AP. The ANN model was first trained on 912/1,304 (70%) randomly selected patients and then tested on the remaining 392/1,304 (30%). Receiver operating characteristic curve analysis was used to evaluate the mortality prediction of the two models. Results Age, endotracheal intubation status, and intensive care unit admission were significant predictors of mortality in patients with AP in the multivariate logistic regression model. The ANN model indicated age, Glasgow Coma Scale, intensive care unit admission, and endotracheal intubation status were critical factors among the 12 independent variables related to in-hospital mortality. The area under the receiver operating characteristic curve for mortality prediction was significantly higher in the ANN model compared to the logistic regression model. Conclusion This study establishes that the ANN model could be a valuable tool for predicting the risk of death following AP. Thus, it may facilitate effective patient triage and improve the outcomes.
목차
등록된 정보가 없습니다.
참고문헌 (24)
참고문헌 신청
Warner M / 2011 / Drug poisoning deaths in the United States, 1980-2008 / NCHS Data Brief :1~8
Tang Y / 2017 / Unintentional poisoning in China, 1990 to 2015: the global burden of disease study 2015 / Am J Public Health 107:1311~1315
Strom J / 1986 / Self-poisoning treated in an ICU: drug pattern, acute mortality and short-term survival / Acta Anaesthesiol Scand 30:148~153
Maignan M / 2014 / Deliberate drug poisoning with slight symptoms on admission : are there predictive factors for intensive care unit referral? A three-year retrospective study / Basic Clin Pharmacol Toxicol 114:281~287
Corcoran C / 2001 / Computational tools for exact conditional logistic regression / Stat Med 20:2723~2739
Tang Y / 2017 / Unintentional poisoning in China, 1990 to 2015: the global burden of disease study 2015 / Am J Public Health 107:1311~1315
Strom J / 1986 / Self-poisoning treated in an ICU: drug pattern, acute mortality and short-term survival / Acta Anaesthesiol Scand 30:148~153
Maignan M / 2014 / Deliberate drug poisoning with slight symptoms on admission : are there predictive factors for intensive care unit referral? A three-year retrospective study / Basic Clin Pharmacol Toxicol 114:281~287
Corcoran C / 2001 / Computational tools for exact conditional logistic regression / Stat Med 20:2723~2739
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