/pdf/ganhosayi-seukeuriningeul-tonghan-jogidaeeungtim-6bimmqfoby.pdf

간호사의 스크리닝을 통한 조기대응팀 활성화가 비계획적 중환자실 입실에 미치는 영향

http://www.koreascience.or.kr:80/article/JAKO202113759910303.pdf

Risk Factors of Predicting Intensive Care unit Transfer in Deteriorating Ward Patients

Purpose: The purpose of this study was to analyze risk factors in predicting medical patients transferred to Intensive Care Unit (ICU) on the general ward. Methods: We reviewed retrospectively clinical data of 120 medical patients on the general ward and a Modified Early Warning Score (MEWS) between ICU group and general ward group. Data were analyzed with multivariate logistic regression and the area under the receiver operating characteristic curves using SPSS/WIN 18.0 program. Results: Fifty-two ICU patients and 68 general ward patients were included. In multivariate logistic regression, the MEWSs (Odds Ratio [OR], 1.91; 95% confidence interval [CI], 1.32-2.76), sequential organ failure assessment score (OR, 1.28; 95% CI, 1.10-1.72), PaO2/FiO2 ratio (OR, 0.98; 95% CI, 0.98-0.99), and saturation (OR, 0.93; 95% CI, 0.88-0.99) were predictive of ICU transfer. The sensitivity and the specificity of the MEWSs used with a cut-off value of six were 80.8% and 70.6% respectively for ICU transfer. Conclusion: These findings suggest that early prediction and treatment of patients with high risk of ICU transfer may improve the prognosis of patients.

/pdf/analysis-of-risk-factors-to-predict-intensive-care-unit-1h7baebdgf.pdf

Hye Ran Choi

Papers

Analysis of Risk Factors to Predict Intensive Care Unit Transfer in Medical in-Patients