• Ke-Lu Yang, Lin Chen, Ying-Ying Kang, Li-Na Xing, Hai-Ling Li, Peng Cheng, and Zong-Hui Song.
• Evidence-Based Nursing Center, School of Nursing, Lanzhou University.
• Medicine (Baltimore). 2020 Dec 24; 99 (52): e23640e23640.

BackgroudPressure injuries (PIs) bring a considerable physical and mental burden on immobile patients, and have put families and government under tremendous pressure to cover the cost of treatment. Therefore, this protocol proposes to identify risk factors of developing PIs in immobile patients from systematic reviews (SRs) and clinical practice guidelines (CPGs), in order to establish a risk prediction model for developing PIs and identify individual risk factors that can be modified to aid prevention.MethodsElectronic databases and specific databases for CPGs and SRs will be searched. Study selection and data collection will be performed independently by two reviewers. All included SRs and CPGs will be subject to critical appraisal. RevMan 5.3 will be used to calculate the pooled odds ratio (ORP) after appraising the quality of eligible studies, and the risk predictive model will be established using logistic regression model. A narrative synthesis, evidence summary table, and Sankey diagram will also be performed.ResultsThe results of this study will be submitted to a peer-reviewed journal for publication.ConclusionThis systematic review will provide a risk prediction model of PI developing.Insplay Registration NumberINPLASY2020100097.Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.

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