ArticleInternational wound journal2020
Risk factors and the potential of nomogram for predicting hospital-acquired pressure injuries.
Article in International wound journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Risk factors for hospital-acquired pressure injury in neurosurgery inpatients: a real-world prospective cohort study.Scientific reports · 2025Observational
- A Predictive Model of Pressure Injury in Children Undergoing Living Donor Liver Transplantation Based on Machine Learning Algorithm.Journal of advanced nursing · 2025Article
- Systematic Review for Risks of Pressure Injury and Prediction Models Using Machine Learning Algorithms.Diagnostics (Basel, Switzerland) · 2023Review
- Risk factors and the nomogram model for intraoperatively acquired pressure injuries in children with brain tumours: A retrospective study.International wound journal · 2023Article
- Construction and external validation of a nomogram model for predicting the risk of esophageal stricture after endoscopic submucosal dissection: a multicenter case-control study.BMC gastroenterology · 2023Article
- Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.International wound journal · 2022Article
- Development and validation of a nomogram for predicting the risk of pressure injury in adult patients undergoing abdominal surgery.International journal of nursing sciences · 2022Article
- Risk factors and the potential of nomogram for predicting hospital-acquired pressure injuries.International wound journal · 2020Article
- Identifying Candidate Predictors of Hospital-Acquired Pressure Injuries among Adult, Medical-Surgical Patients Using Clinical Expert Knowledge: A Delphi Study.Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses SocietyArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This 1:5 case-control study aimed to identify the risk factors of hospital-acquired pressure injuries (HAPIs) and to develop a mathematical model of nomogram for the risk prediction of HAPIs. Data for 370 patients with HAPIs and 1971 patients without HAPIs were extracted from the adverse events and the electronic medical systems. They were randomly divided into two sets: training (n = 1951) and validation (n = 390). Significant risk factors were identified by univariate and multivariate analyses in the training set, followed by a nomogram constructed. Age, independent movement, sensory perception and response, moisture, perfusion, use of medical devices, compulsive position, hypoalbuminaemia, an existing pressure injury or scarring from a previous pressure injury, and surgery sufferings were considered significant risk factors and were included to construct a nomogram. In both of the training and validation sets, the areas of 0.90 under the receiver operating characteristic curves showed excellent discrimination of the nomogram; calibration plots demonstrated a good consistency between the observed probability and the nomogram's prediction; decision curve analyses exhibited preferable net benefit along with the threshold probability in the nomogram. The excellent performance of the nomogram makes it a convenient and reliable tool for the risk prediction of HAPIs.
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