Construction of a Risk Prediction Model for the Occurrence of Acute Skin Failure in Critically Ill Patients: A Prospective Study.
Li-Hong ZhuYan-Fei ShenQi RenJuan LinPublished in: The journal of nursing research : JNR (2024)
The developed model effectively predicts ASF risk, allowing for the early identification of high-risk patients. Identifying risk factors such as sepsis, vasoactive drugs, and age and considering protective factors such as peripheral perfusion index and albumin levels may help optimize care plans. Clinical staff should pay special attention to these factors and their impact on skin health in critically ill patients.
Keyphrases
- risk factors
- healthcare
- end stage renal disease
- ejection fraction
- chronic kidney disease
- public health
- newly diagnosed
- soft tissue
- health insurance
- risk assessment
- palliative care
- acute kidney injury
- wound healing
- peritoneal dialysis
- intensive care unit
- working memory
- prognostic factors
- mental health
- drug induced
- patient reported outcomes
- health information
- magnetic resonance
- septic shock
- contrast enhanced