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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.7
- 수록면
- 126 - 136 (11page)
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Purpose: This study aimed to identify factors affecting the increase in the National Early Warning Score (NEWS) of patients after discharge from the medical intensive care unit (MICU). Methods: The study covered 210 adult patients who had been discharged from the MICU of P University Hospital in Y city between June 1, 2017 and June 30, 2018. The data were collected from the electronic medical records to investigate general characteristics, clinical characteristics, discharge-related characteristics, and NEWS. The data were analyzed using descriptive statistics, Mann-Whitney U test, x 2 test, and logistic regression analysis using the SPSS 23.0 program. Results: Out of 210 patients, 42 patients (20.0%) showed an increase in NEWS within 72 hours of discharge from MICU. Logistic regression analysis was performed considering usage of ventilator, tracheostomy tube, and inotropic drugs; length of stay in the ICU; and NEWS before discharge from the ICU as independent variables. Factors predicting the increase in NEWS after discharge from the ICU were tracheostomy (OR=3.58, 95% CI=1.65~7.77) and pre-discharge NEWS (OR=1.35, 95% CI=1.14~1.60). Conclusion: NEWS before discharge from the intensive care unit can be used to detect and predict the early deterioration of a patient's condition after transfer to the general ward.
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