Medical device-related pressure injury (MDRPI) is a kind of pressure injury that occurs in the course of diagnosis and treatment, and its appearance is similar to that of medical device. Neonatal intensive care unit (NICU) infants are more likely to develop MDRPI than children and adults because of the physiological characteristics of skin and the influence of disease. At present, the occurrence of MDRPI in NICU infants is attracting worldwide attention. Its treatment and nursing consume a large amount of medical resources, which not only affect the outcome of the disease, but also increase the economic burden of the family and society. This article summarizes the MDRPI from three aspects: summary, influencing factors, and evaluation tools. It is expected that NICU nurses will carry out large sample clinical investigation of MDRPI in the future, so as to provide a reference for risk prediction model and risk assessment tools to identify high-risk infants and take effective measures in advance to reduce the incidence of MDRPI.
Objective To explore the correlations between nutritional markers and pressure injury (PI) in elderly patients with chronic obstructive pulmonary disease (COPD). Methods Retrospective analysis was conducted on elderly patients with COPD and PI who were admitted to the geriatric department of West China Hospital of Sichuan University or Dujiangyan People’s Hospital between January 2020 and December 2021. The blood biochemical indicators mainly including nutritional markers were collected, and their correlations with PI risk factor index Braden score and PI severity index PI stage were analyzed. Results A total of 293 patients with COPD and PI were included. Among the five Braden score groups, the differences in the levels of albumin and prealbumin were statistically significant (P<0.05), and the Braden score was positively correlated with albumin (rs=0.241, P<0.001), prealbumin (rs=0.179, P=0.002), and hemoglobin (rs=0.199, P=0.001). Among the six PI stage groups, the differences in the levels of albumin, globulin, red blood cell count, serum sodium, blood chloride and C-reactive protein were statistically significant (P<0.05), and the PI stage was negatively correlated with albumin (rs=−0.192, P=0.001), and positively correlated with serum sodium (rs=0.139, P<0.001), blood chloride (rs=0.184, P<0.001), and C-reactive protein (rs=0.177, P=0.020). Conclusion When PI risk assessment and severity assessment are performed on elderly COPD patients, it is necessary to pay more attention to nutritional markers and assess whether the patients are at risk of protein malnutrition, which will help to improve the accuracy of PI risk assessment and severity prediction, and effectively improve the efficacy of PI prevention and treatment.