目的 探討實習護士銳器傷發生情況及影響因素，為制訂降低實習護士銳器傷政策提供依據。 方法 2012年3月，針對333名臨床實習護士進行問卷調查；采用SPSS軟件對銳器傷年發生率進行單因素和多因素logistic回歸分析。 結果 共322名實習護士完成調查，銳器傷年發生率50.0%，發生頻率為1.3次/人年。最近一次發生銳器傷時，僅6.5%上報登記。單因素分析顯示，本科生、學校課程未針對預防銳器傷進行培訓，臨床實習帶教老師未進行預防銳器傷培訓的實習護士，其銳器傷發生率更高。在臨床實習可能接觸患者血液和體液的操作中，帶手套的頻率越高，銳器傷發生率越低；注射完成后，回套針帽的頻率越高，銳器傷發生率越高。多因素分析表明，本科實習護士發生銳器傷的風險高于中專或大專實習護士[OR=4.603，95%CI（2.241，9.443）]；注射完成后，回套針帽頻率增加，發生銳器傷的風險增加[OR=1.672，95%CI（1.032，2.729）]。 結論 在教學和臨床實踐過程中，針對實習護士，尤其是本科實習護士，應進一步加強培訓，杜絕回套針帽現象；并進一步健全現有銳器傷上報登記制度。
Objective To investigate the accuracy of continuous glucose monitoring (CGM) system in emergency critically ill patients. Methods Critically ill patients admitted to the Intensive Care Unit of Department of Emergency Medicine, West China Hospital of Sichuan University between August 2022 and February 2023 were continuously enrolled. Blood glucose monitoring was performed using CGM system, while blood glucose in the patient’s fingertips was monitored every 4 hours. The correlation and consistency of blood glucose values between CGM system and fingertip glucose detection were compared. Results A total of 52 patients were included, and 1 504 matching blood glucose pairs were formed with fingertip blood glucose values. The overall correlation coefficient was 0.874 (P<0.001), the mean absolute relative difference was 14.50%, and the highest mean absolute relative difference (31.76%) was observed in the hypoglycemic range (<3.9 mmol/L). The percentage of CGM system blood glucose within ±15%, ±20% and ±30% of fingertip blood glucose was 56.65%, 75.56% and 94.75%, respectively. The intra-group correlation coefficient between CGM system blood glucose and fingertip blood glucose was 0.85 on the consistency test, and the Bland-Altman plot showed acceptable clinical accuracy. Conclusions The overall accuracy of the application of CGM system in critically ill patients is reasonable, but the accuracy in the range of low blood glucose values is poor. Whether the auxiliary use of CGM system can improve the blood glucose management of critically ill patients and reduce medical costs needs to be further studied.
ObjectiveTo investigate the effectiveness of establishment of chest pain center and optimized process in the diagnostic and treatment progress and short-term prognostic value of acute non-ST segment elevation myocardial infarction (NSTEMI) patients. MethodsThis was a retrospective study. We included NSTEMI patients admitted in the Emergency Department in our hospital, 41 patients admitted before the establishment of the chest pain center (April 2015) were included as group A (30 males and 11 females at age of 64.7±11.8 years), 42 patients after the establishment of the chest pain center (April 2016) as group B (31 males and 11 females at age of 64.6±11.8 years), and 38 patients after the establishment of the chest pain center (April 2017) as group C (30 males and 8 females at age of 62.6±10.0 years). The clinical outcomes of the three groups were compared.ResultsThe time from admission to electrocardiogram was 20.0 (17.0, 25.5) min in the group A, 4.0 (2.8, 5.0) min in the group B, and 3.0 (2.0, 4.0) min in the group C (P<0.001). The first doctor's non-electrocardiogram advice time was 13.0 (10.0, 18.0) min, 9.5 (6.8, 15.3) min, and 9.0 (7.0, 12.0) min (P=0.001) in the three groups, respectively. The diagnostic confirmed time was 139.4±48.5 min, 71.1±51.5 min, 63.9±41.9 min (P<0.001). The proportion of patients receiving emergency dual anti-platelet load dose treatment was 53.1%, 70.0%, 100.0% (P=0.001), respectively. The time of receiving emergency dual anti-platelet load dose treatment was 208.0 (72.0, 529.0) min, 259.0 (91.0, 340.0) min, and 125.0 (86.0, 170.0) min (P=0.044) in the three groups, respectively. Emergency percutaneous coronary artery intervention (PCI) start time was 60.9 (42.1, 95.8) hours, 61.3 (43.3, 92.2) hours, 30.5 (2.8, 44.1) hours (P<0.001) in the three groups, respectively. Among them, the moderate risk patients’ PCI starting time was 63.0 (48.1, 94.2) hours, 62.3 (42.1, 116.2) hours, and 40.1 (17.2, 60.4) hours (P>0.05), respectively. The high risk patients’ PCI starting time was 47.9 (23.7, 102.4) hours, 55.2 (44.0, 89.6) hours, 23.2 (1.7, 41.8) hours in the three groups, respectively (P<0.001). The hospitalization time of the patients was 7.0 (5.4, 9.4) days, 5.9 (4.9, 8.7) days, 4.7 (3.1, 6.2) days in the three groups (P<0.001), respectively. The hospitalization time of the moderate risk patients was 6.9 (4.9, 8.8) days, 6.4 (4.9, 8.0) days, 4.8 (3.2, 6.5) days in the three groups (P>0.05), respectively. The hospitalization time of the high risk patients was 7.1 (5.5, 9.9) days, 5.9 (4.6, 9.8) days, and 4.4 (3.0, 6.1) days, respectively (P<0.001). The fatality rate of inpatients was 4.9%, 0.0%, and 0.0%, respectively (P>0.05). The correlation coefficient of hospitalization time, diagnosis confirmed time and PCI starting time was 0.219 and 0.456 (P<0.05), respectively.ConclusionThe establishment and optimized process of chest pain center can accelerate the time of early diagnosis of NSTEMI, which is helpful to obtain stratified and graded standardized treatment for patients according to their conditions, to accelerate the specific treatment process of high risk NSTEMI patients, and shorten the hospitalization time.
ObjectivesTo explore the predictive value of platelet count at admission for long-term prognosis in patients with type B acute aortic dissection (AAD) undergoing endovascular therapy (EVT). MethodsWe investigated 131 consecutive patients with type B AAD after EVT in West China Hospital of Sichuan University from January to December 2012. The patients’ basic clinical data, blood test results, major adverse cardiovascular events, and in-hospital and out-hospital survival status were collected. According to the tri-sectional quantiles of platelet counts, the patients were divided into three groups. Chi-square test was used to analyze the correlation between platelet count and hospital complications. Kaplan-Meier survival analysis and Cox regression analysis were used to analyze the relationship between platelet count and survival in patients with type B AAD. The primary endpoint was all-cause death. ResultsThe overall in-hospital mortality of the 131 patients was 9.9%, and the mortality was 16.0% by the end of the follow-up, the median length of which was 2.1 years. There were 44 cases in T1 group (platelet count >200×10 9/L), 44 cases in T2 group [platelet count (155–200)×109/L], and 43 cases in T3 group [platelet count ≤155×109/L]. The mortality in T3 group (30.2%) was higher than that in T1 group (4.5%) and T2 group (13.6%) (P=0.004). Kaplan-Meier survival analysis showed that the cumulative survival rate of T3 group was significantly lower than that of T1 group and T2 group (69.8% vs. 95.5%, χ2=10.165, P=0.001; 69.8% vs. 86.4%, χ2=5.174, P=0.037). Cox multivariate analysis showed that age [hazard ratio (HR)=1.043, 95% confidence interval (CI) (1.009, 1.079), P=0.013], heart rate [HR=1.030, 95%CI (1.004, 1.058), P=0.024], and platelet count [HR=6.011, 95%CI (1.319, 27.391), P=0.020] were independent risk factors for mortality. Older age, rapid heart rate, and lower platelet count would increase the risk of death. ConclusionPlatelet count may be an independent factor that affects the prognosis of patients with type B AAD after EVT, and a low platelet count at admission increases the risk of death.
ObjectiveTo explore the predictive value of a simple prediction model for patients with acute myocardial infarction.MethodsClinical data of 280 patients with acute ST-segment elevation myocardial infarction (STEMI) in the Department of Emergence Medicine, West China Hospital of Sichuan University from January 2019 to January 2020 were retrospectively analyzed. The patients were divided into a death group (n=34) and a survival group (n=246).ResultsAge, heart rate, body mass index (BMI), global registry of acute coronary events (GRACE), thrombolysis in myocardial infarction trial (TIMI) score, blood urea nitrogen, serum cystatin C and D-dimer in the survival group were less or lower than those in the death group (P<0.05). Left ventricle ejection fraction and the level of albumin, triglyceride, total cholesterol and low density lipoprotein cholesterol were higher and the incidence of Killip class≥Ⅲ was lower in the survival group compared to the death group (P<0.05). Multivariate logistic regression analysis showed that age, BMI, heart rate, diastolic blood pressure, and systolic blood pressure were independent risk factors for all-cause death in STEMI patients. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve of simple prediction model for predicting death was 0.802, and similar to that of GRACE (0.816). The H-L test showed that the simple model had high accuracy in predicting death (χ2=3.77, P=0.877). Pearson correlation analysis showed that the simple prediction model was significantly correlated with the GRACE (r=0.651, P<0.001) and coronary artery stenosis score (r=0.210, P=0.001).ConclusionThe simple prediction model may be used to predict the hospitalization and long-term outcomes of STEMI patients, which is helpful to stratify high risk patients and to guide treatment.
With the change of COVID-19, the prevention and control of COVID-19 infection epidemic entered a new stage in December 2022. How to quickly complete the emergency treatment of a large number of patients in a short period of time, and ensure that patients in emergency department can get rapid and effective medical treatment has always been an urgent problem that emergency department need to solve. The Department of Emergency Medicine of West China Hospital of Sichuan University has adopted patient-oriented management measures based on the core idea of the new public management theory, and has achieved remarkable results. Therefore, this article summarizes the workflow and nursing management strategies of the emergency department rescue area of West China Hospital of Sichuan University in dealing with the batch treatment of COVID-19 infected patients, including optimizing and correcting the environment layout of the ward, implementing the “secondary triage” mode in the rescue area, adding an inter-hospital referral platform for critical patients with COVID-19 emergency, building a conventional COVID-19 reserve material repository in the emergency department, setting up a field office for multi-department joint emergency admission service, optimizing emergency transport services for patients with COVID-19, scientific scheduling and reasonable human resource management, and providing humanistic care for employees, in order to provide reference for the management practice of the emergency department.
This article introduces the exploration and establishment of “grass-roots Party building + targeted poverty alleviation” model by the Party Branch of Emergency Department of West China Hospital of Sichuan University, and discusses how to establish the “trinity mode” of management support, personnel training, and on-site guidance under the leading of grass-roots Party building through a series of the branches combined activities, according to the core idea of “strengthening the Party construction, bringing people closer together, and promoting development”. The aim is to form a long-term mechanism of grass-roots Party building and targeted medical poverty alleviation through continuously implementing this model, which can benefit more people in remote and ethnic minority areas and contribute to “Healthy China 2030”.