ObjectiveTo evaluate the superiority of nasopharyngeal airway on obesity patients during general anesthesia induction period. MethodForty-two trachea cannula and general anesthesia obesity patients treated from June to November in 2013 were chosen and divided equally into two groups:nasopharyngeal airway group (group A) and control group (group B). Mean arterial pressure (MAP), heart rate (HR), pulse oxygen saturation (SpO2), arterial blood partial pressure of carbon dioxide (PaCO2) were recorded when the patients entered the operation room, three minutes after man-made positive pressure ventilating and five minutes after intubation. Peak voltage (Ppeak) of man-made positive pressure ventilation for three minutes was also observed, and intubation frequency and time, mouth mucosa bleeding, and sore throat examples were compared between the two groups. ResultsCompared with group B, MAP, HR, PaCO2 and Ppeak three minutes after man-made positive pressure ventilating were lower (P<0.05), but SpO2 was higher in group A (P<0.05). Intubation frequency and time, mouth mucosa bleeding, and sore throat examples of group A were less than those in group B (P<0.05). ConclusionsNasopharyngeal airway is better for obesity patients during general anesthesia induction period, which also improves anesthesia safety level.
Objective To explore clinical effect of failure mode and effect analysis in improving the submission rate of pathogen examination in counterpart supported high-altitude county hospitals, and formulate practical measures and methods suitable for high-altitude county hospitals to improve the submission rate of pathogen examination. Methods Patients admitted to the People’s Hospital of Ganzi County between January and December 2024 were selected. The data of hospitalized patients between January and June 2024 were as the control group, and the data of hospitalized patients between July and December 2024 were as the intervention group. The study analyzed and compared the submission rate of pathogen testing and the pass rate of microbiological test specimens before antimicrobial treatment between the two groups. Results A total of 3 984 patients were included. Among them, there were 1 748 cases in the control group and 2 236 cases in the intervention group. A total of 10 risk factors and 2 high-risk points were identified. There were statistically significant differences in the submission rate of pathogen specimens before antibiotic treatment [36.21% (633/1 748) vs. 49.33% (1 103/2 236); χ2=68.646, P<0.001] and the qualified rate of microbiological test specimens [26.75% (122/456) vs. 36.45% (261/716); χ2=11.910, P=0.001] between the control group and the intervention group. Conclusions Failure mode and effect analysis can effectively find out the weak points in low pathogen examination submission rate in high-altitude county hospitals. According to the high-risk points to guide the formulation of relevant measures, the pathogen submission rate in the region can be effectively improved.
Objective To explore the clinical effect of failure mode and effect analysis (FMEA) combined with PDCA cycle management model in the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), and provide evidences for drawing up improvement measures in healthcare-associated MDRO infections in ICU. Methods In January 2020, a risk assessment team was established in the Department of Critical Care Medicine, the First People’s Hospital of Longquanyi District of Chengdu, to analyze the possible risk points of MDRO infections in ICU from then on. FMEA was used to assess risks, and the failure modes with high risk priority numbers were selected to evaluate the high-risk points of MDRO infections. The causes of the high-risk points were analyzed, and improvement measures were formulated to control the risks through PDCA cycle management model. The incidence of healthcare-associated MDRO infections in ICU, improvement of high-risk events, and satisfaction of doctors and nurses after the implementation of intervention measures (from January 2020 to June 2021) were retrospectively collected and compared with those before the implementation of intervention measures (from January 2018 to December 2019). Results Six high-risk factors were screened out, namely single measures of isolation, unqualified cleaning and disinfection of bed units, irrational use of antimicrobial agents, weak consciousness of isolation among newcomers of ICU, weak awareness of pathogen inspection, and untimely disinfection. The incidence of healthcare-associated MDRO infections was 2.71% (49/1800) before intervention and 1.71% (31/1808) after intervention, and the difference between the two periods was statistically significant (χ2=4.224, P=0.040). The pathogen submission rate was 56.67% (1020/1800) before intervention and 61.23% (1107/1808) after intervention, and the difference between the two periods was statistically significant (χ2=7.755, P=0.005). The satisfaction rate of doctors and nurses was 75.0% (30/40) before intervention and 95.0% (38/40) after intervention, and the difference between the two periods was statistically significant (χ2=6.275, P=0.012). Conclusions FMEA can effectively find out the weak points in the prevention and treatment of MDRO infections in ICU, while PDCA model can effectively formulate improvement measures for the weak points and control the risks. The combined application of the two modes provides a scientific and effective guarantee for the rational prevention and treatment of MDRO infections in ICU patients.