 摘要：  [Objectives] To investigate the current status of pressure injury occurrence in ICU patients with indwelling artificial airways and to analyze its associated factors. [Methods] A prospective observational study was performed involving 300 ICU patients with indwelling artificial airways admitted to Taihe Hospital, Shiyan City, between January 2024 and December 2025. Data on general demographics, artificial airway-related parameters, and Braden Scale scores were collected using a self-designed questionnaire. The patients were categorized into pressure injury and non-pressure injury groups. Univariate analysis followed by multivariate Logistic regression analysis was employed to determine the independent influencing factors. [Results] Among the 300 patients, 54 cases of artificial airway-related pressure injuries were identified, yielding an incidence rate of 18.0%. The lips and oral commissures were the most frequently affected sites, accounting for 53.7% of all injuries. Multivariate Logistic regression analysis revealed that prolonged indwelling time, use of subglottic suction catheters, and lateral displacement of the tracheal tube were independent risk factors for pressure injuries, whereas a higher moisture score served as a protective factor (P<0.05). [Conclusions] The incidence of pressure injuries in ICU patients with indwelling artificial airways is notably high. Nurses should prioritize monitoring of indwelling duration, catheter type, catheter position, and local moisture status, and implement timely preventive interventions.

 摘要：  [Objectives] To assess the effectiveness of integrating the PDCA cycle with predictive nursing for error prevention and control in pharmacy intravenous admixture services. [Methods] A before-and-after control design was employed to compare the error rate, recheck pass rate, timely delivery rate, and risk prevention awareness scores among staff (n = 28) during the conventional management period (January to December 2024, encompassing 124 680 medical orders) and the PDCA cycle combined predictive nursing management period (January to December 2025, encompassing 128 420 medical orders). [Results] Following the intervention, the error rate significantly decreased from 0.122% to 0.053% (P < 0.001). Concurrently, the recheck pass rate increased from 99.38% to 99.82% (P < 0.001), and the timely delivery rate improved from 96.10% to 98.72% (P < 0.001). Additionally, risk prevention awareness scores among staff rose significantly from (82.45 ± 5.36) to (93.26 ± 4.18) points (P < 0.001). [Conclusions] The integration of the PDCA cycle with predictive nursing substantially enhances the quality of medication safety management in pharmacy intravenous admixture services.

 摘要：  [Objectives] To systematically analyze the risk factors for medical device-related pressure injury (MDRPI) associated with artificial airways in ICU patients and to develop and validate a bedside-applicable nomogram risk prediction model. [Methods] Following the PRISMA guidelines, systematic searches were conducted in databases including PubMed, Web of Science, CNKI, etc. (from January 2010 to December 2024), with 32 studies included for meta-analysis. Concurrently, prospective clinical data from 300 ICU patients with artificial airways were collected. Independent risk factors were identified using multivariate logistic regression, and a nomogram model was constructed. Model performance was evaluated using the C-index, Hosmer-Lemeshow test, Bootstrap internal validation, and decision curve analysis (DCA). [Results] Meta-analysis revealed that duration of artificial airway placement, use of a subglottic secretion drainage (SSD) tube, type of fixation device, and the moisture, mobility, and friction/shear subscale scores of the Braden Scale were all risk factors for MDRPI. The incidence of MDRPI in the clinical cohort was 14.0%. Multivariate analysis confirmed that all six aforementioned factors were independent predictors (P<0.05). The model's C-index was 0.88, adjusted to 0.87 after internal validation. The Hosmer-Lemeshow test yielded P=0.423. DCA indicated favorable clinical net benefit within the threshold probability range of 10% to 80%. [Conclusions] The nomogram model developed based on meta-analysis and a clinical cohort demonstrates good discrimination and calibration. It can assist nursing staff in the early identification of high-risk patients and facilitate stratified prevention strategies.