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A Risk Prediction Model for Invasive Fungal Disease in Critically Ill Patients in the Intensive Care Unit  Fangyi Li, Minggen Zhou, Zijun Zou, Weichao.

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Presentation on theme: "A Risk Prediction Model for Invasive Fungal Disease in Critically Ill Patients in the Intensive Care Unit  Fangyi Li, Minggen Zhou, Zijun Zou, Weichao."— Presentation transcript:

1 A Risk Prediction Model for Invasive Fungal Disease in Critically Ill Patients in the Intensive Care Unit  Fangyi Li, Minggen Zhou, Zijun Zou, Weichao Li, Canxia Huang, Zhijie He  Asian Nursing Research  Volume 12, Issue 4, Pages (December 2018) DOI: /j.anr Copyright © Terms and Conditions

2 Figure 1 Receiver operating characteristics (ROC) curve and area under the ROC curve (AUC) for assessing the discriminatory power of the logistic regression prediction model. The AUC is 0.73 (95% CI, 0.64–0.82). With a threshold of 29.6% of the Youden index, the sensitivity, specificity, positive predictive value, and negative predictive value were 72.7%, 64.9%, 48.5%, and 84.0%, respectively.Note. CI = confidence interval. Asian Nursing Research  , DOI: ( /j.anr ) Copyright © Terms and Conditions


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