ABSTRACT
Objective:To analyze the application effect of cluster management measures in improving the quality of emergency medical treatment.Methods:By analyzing the problems existing in the work of emergency department, the cluster management scheme was formulated and the intervention measures were implemented from the aspects of intelligent information system, patient management system and medical service process. The accuracy and efficiency of emergency triage, the satisfaction of patients and medical staff, the incidence of medical complaints and disputes and the rate of sudden death were compared before and after cluster management.Results:Before and after the implementation of cluster management, the accuracy of triage classification was 95.0% and 98.7% respectively, and the triage time was (68.3±12.8) s and (50.5±7.2) s respectively( P<0.001). The satisfaction of patients, doctors and nurses increased, the number of complaints decreased from 15 to 5 in half a year, and the number of sudden death decreased from 39 to 23 with a significant difference( P<0.05). Conclusions:The application of cluster management measures in emergency management can improve the medical quality, the satisfaction of medical staff and patients, and ensure the safety of patients.
ABSTRACT
Objective:Based on the clinical indicators of severe community-acquired pneumonia in emergency department, the early warning indicators of critical condition were constructed.Methods:The general information, vital signs before entering ICU, laboratory indexes and the survival rate in 30 days of 118 patients with community-acquired pneumonia were retrospectively collected in the emergency care unit of Peking Union Medical College Hospital from January to December 2018. The indexes of death patients (24 cases) and alive patients (98 cases) underwent comparative analysis, using ROC curve to predict the clinical outcome and reliable parameters of emergency patients with community-acquired pneumonia. The best cutoff value was determined according to Youden index and then undergoing multiple factors Logistic stepwise regression analysis. Then early warning model of critical degree was finally built.Results:Eleven indicators were used to predict the criticality of patients with acute community-acquired pneumonia, including AVPU (alert, voice, pain, unresponsive) score, Glasgow Coma Scale(GCS), heart rate, pulse oxygen saturation (SpO 2), fraction of inspiration O 2, oxygenation index,potential of hydrogen, blood potassium (K +), bilirubin, urea nitrogen, and C reactive protein, the optimal cutoff values were 2 points, 8 points, 91 times per minute, 0.94, 41%, 81.20%, 7.38, 4.0 mmol/L, 10.90 μmol/L, 2.23 mmol/L, and 41.5 mg/L. Multiple Logistic stepwise regression showed that the independent factors for predicting death were GCS score, SpO 2 and urea nitrogen, and the predictive ability of the early-warning model was 83.7%. Conclusions:GCS score, SpO 2 and urea nitrogen are effective early warning indicators for the severity of severe community-acquired pneumonia in emergency department, which are conducive to the rapid and efficient early identification and treatment of critically ill patients. Therefore, they are worthy of promotion and application in clinical practice.
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Objective:To investigate how urothelial carcinoma-associated 1 (UCA1) and miR-18a modulates acquired tamoxifen resistance and the relevant mechanisms in estrogen receptor (ER) positive cancer cells.Methods: qRT-PCR was performed to detect UCA1 and miR-18a expression in breast cancer cells.Dual luciferase assay was performed to detect the binding between miR-18a and UCA1 3′UTR.Tamoxifen sensitive MCF-7 cells were transfected with UCA1 expression vector or miR-18a inhi-bitors.Tamoxifen resistant LCC9 and BT474 cells were transfected with UCA1 siRNA or miR-18a mi-mics.CCK-8 assay was performed to detect cell viability.Soft agar assay was performed to assess cell colony formation.Flow cytometric analysis was performed to check cell cycle distribution.Results: UCA1 was significantly upregulated in tamoxifen resistant LCC2,LCC9,and BT474 cells than in tamoxifen sensitive MCF-7 cells.UCA1 expression was significantly upregulated in MCF-7 cells after treatment with 0.1 μmol/L tamoxifen.UCA1 overexpression enhanced cell viability of MCF-7 cells after tamoxifen treatment,while UCA1 siRNA significantly suppressed viability of LCC9 and BT474 cells after tamoxifen treatment.In MCF-7 cells,compared with vector control+tamoxifen group,the average cell colony number and colony size of the UCA1+tamoxifen group was 19.0％ more and 29.0％ larger respectively,while the proportions of the cells in G1 phase and in S phase were 7.3％ lower and 6.7％ higher respectively.In BT474 cells,compared with siRNA control+tamoxifen group,the average cell colony number and colony size of the si-UCA1+tamoxifen group were 54.0％ less and 42.0％ smaller respectively,while the proportions of the cells in G1 phase and in S phase were 9.0％ higher and 6.2％ lower respectively.UCA1 directly interacted with miR-18a and reduced its expression in ER positive breast cancer cells.Knockdown of miR-18a increased viability of MCF-7 cells after tamoxifen treatment,while miR-18a overexpression significantly reduced viability of BT474 cells after tamoxifen treatment.In MCF-7 cells,compared with miRNA inhibitor control+tamoxifen group,the average cell colony number and colony size of the miR-18a inhibitor+tamoxifen group were 15.0％ more and 33.0％ larger respectively,while the proportions of the cells in G1 phase and in S phase were 8.8％ lower and 5.3％ higher respectively.In BT474 cells,compared with miRNA control+tamoxifen group,the average cell colony number and colony size of the miR-18a mimics+tamoxifen group were 47.0％ less and 25.0％ smaller respectively,while the proportions of the cells in G1 phase and in S phase were 13.3％ higher and 7.9％ lower respectively.Conclusion: UCA1 can increase tamoxifen resistance of ER positive breast cancer cells via competitively inhibiting of miR-18a.