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Univariate analysis and binary logistic regression evaluation were used to explore threat facets. Then, a risk prediction equation was built and a receiver operator attribute (ROC) bend analysis design ended up being utilized for prediction. Outcomes of the 486 critically sick clients with cancer tumors, 15 patients developed PI. Threat aspects discovered to have a substantial impact on PI in critically sick clients with disease included the APACHE II rating (P less then 0.001), semi-reclining
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