Abstract

This study aimed to investigate factors associated with facial pressure injury (FPI) in patients receiving non-invasive positive pressure ventilation (NIPPV) during hospitalisation in the intensive care unit (ICU) and to identify predictors of FPI. Non-invasive positive pressure ventilation is a method of treating patients with acute and chronic respiratory failure. However, FPI may occur due to unsuitable nasal-oral NIPPV masks and discomfort in contact with the skin surface. A retrospective case-control study. From January 2018 to October 2020, a total of 397 patients admitted to a national hospital in Taiwan were enrolled. Patients received NIPPV and routinely used under-mask prophylactic dressings during hospitalisation. Patients were divided into the non-FPI group (n=357) and the FPI group (n=40). Demographic, clinical characteristics, acute physiology and chronic health evaluation II scores, and Braden Scale scores were collected from medical records. Logistic regression analysis was performed to examine the contribution of each factor to the FPI, and odds ratios were reported. The STROBE checklist was used in this retrospective case-control study. There were significant differences between the groups in age, serum albumin, C-reactive protein, body mass index (BMI), disease severity, Braden Scale score, length of stay, duration of mechanical ventilation and use of corticosteroids. Logistic regression analysis revealed that the risk factor for FPI was the Braden Scale score [OR=1.630 (1.176-2.260)], BMI [OR=0.396 (0.210-1.784)] and corticosteroids [OR=0.394 (0.159-1.811)], which were predictors of FPI in patients with NIPPV. Facial pressure injury may still occur in patients who routinely use prophylactic dressings under NIPPV masks. This study provides information on continuing education training for FPI to more accurately identify high-risk and timely preventive measures to reduce FPI. Addressing FPI-related factors to prevent facial skin damage and reduce comorbidities in patients using NIPPV masks.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call