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1.
Chinese Journal of Practical Nursing ; (36): 807-812, 2021.
Artigo em Chinês | WPRIM | ID: wpr-883067

RESUMO

Objective:To analyze the risk factors of Intensive Care Unit-Acquired Weakness, and to develop and verify the model.Methods:A total of 247 patients admitted to ICU patients from November 2018 to October 2019 were selected, and risk factors between ICU acquired weakness group ( n=106) and non-ICU acquired weakness group( n=141)were compared using logistic regression for model construction.The Hosmer-Lemeshow test was used to verify the goodness of fit of the model. The area under the ROC curve was used to test the model to predict the effects. From November 2019 to May 2020, 106 patients were recruited for application of the model. Results:The incidence of ICU acquired weakness in this study was 42.91%(106/247), and 44.34%(47/106),the study finally included age ( OR=1.043) ,mechanical ventilation time ( OR=1.140) , APACHE II score ( OR=1.081) , blood sugar ( OR=1.117) , lactic acid( OR=1.459) ,and neuromuscular blockers ( OR=3.499) to construct the risk prediction. The model formula was P=1/1+exp (- Z) =1/1+exp (8.808-0.042×age -1.252×neuromuscular blockers-0.078×APACHE II score -0.110×blood sugar -0.378×lactic acid -0.131×mechanical ventilation time. The area under the ROC curve of this model was 0.896 (95% CI: 0.824-0.914) , the maximum value of the Youden index was 0.577, and the corresponding sensitivity was 0.754,the specificity was 0.823,the cutoff value was 0.503. The model verification results the sensibility of 70.2%, the specificity of 88.1%, and the accuracy of 80.2%. Conclusion:The predictic model of ICU acquired weakness couducted in this study has satisfactory prediction effect, which can provide a reference for clinical screening of high-risk patients.

2.
Chinese Journal of Medical Education Research ; (12): 598-601, 2020.
Artigo em Chinês | WPRIM | ID: wpr-865831

RESUMO

Objective:To evaluate the effect of problem-based learning (PBL) combined with scene simulation in the cardiopulmonary resuscitation (CPR) teaching of standardized training of general practitioner, and explore a high-quality teaching method that will help students develop their clinical thinking and practical skills.Methods:Forty students of the Grade 2018 general practitioner training program in Yixing Hospital Affiliated to Jiangsu University were randomly divided into experimental group ( n=20) given PBL combined with scene simulation teaching method and control group ( n=20) given traditional teaching method. The pre-class preparation, classroom discussions, actual combat simulations, and analysis and summary were conducted in the experimental group (4-hour CPR training), while classroom teaching, teaching rounds, analysis and discussion, skills training were conducted in the control group (4-hour CPR training). Furthermore, both groups received the same theoretical test, skill assessment, and questionnaires. t-test or chis-quare test was performed for comparison between the two groups using SPSS 18.0. Results:The average score of theoretical test in the experimental group was significantly higher than that in the control group [(87.5±4.3) vs. (81.2±4.7), P<0.05]; the average score of the skill assessment in the experimental group was significantly higher than that in the control group [(91.0±1.5) vs. (83.1±1.8), P<0.05]. The questionnaire survey showed more students of the experimental group who reported greater improvement in their abilities than those of the control group ( P<0.05). Conclusion:PBL combined with scene simulation teaching method can effectively improve the quality of CPR teaching for standardized training of general practitioners, help students improve clinical thinking and comprehensive processing capabilities.

3.
Chinese Journal of Practical Nursing ; (36): 2081-2085, 2020.
Artigo em Chinês | WPRIM | ID: wpr-864739

RESUMO

This article discussed the establishment of disaster nursing academic organization, the development of disaster nursing education, the strengthening of disaster nursing comprehensive ability training, the development of disaster nursing rescue, the organization of disaster nursing academic activities, the development of disaster nursing research and other aspects, to provide a reference for the formation of a unified standard, professional and promotional development system of disaster nursing.

4.
Chinese Journal of Hepatology ; (12): 148-152, 2020.
Artigo em Chinês | WPRIM | ID: wpr-811672

RESUMO

Objective@#To analyze the clinical characteristics of cases of novel coronavirus pneumonia and a preliminary study to explore the relationship between different clinical classification and liver damage.@*Methods@#Consecutively confirmed novel coronavirus infection cases admitted to seven designated hospitals during January 23, 2020 to February 8, 2020 were included. Clinical classification (mild, moderate, severe, and critical) was carried out according to the diagnosis and treatment program of novel coronavirus pneumonia (Trial Fifth Edition) issued by the National Health Commission. The research data were analyzed using SPSS19.0 statistical software. Quantitative data were expressed as median (interquartile range), and qualitative data were expressed as frequency and rate.@*Results@#32 confirmed cases that met the inclusion criteria were included. 28 cases were of mild or moderate type (87.50%), and four cases (12.50%) of severe or critical type. Four cases (12.5%) were combined with one underlying disease (bronchial asthma, coronary heart disease, malignant tumor, chronic kidney disease), and one case (3.13%) was simultaneously combined with high blood pressure and malignant tumor. The results of laboratory examination showed that the alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB), and total bilirubin (TBil) for entire cohort were 26.98 (16.88 ~ 46.09) U/L and 24.75 (18.71 ~ 31.79) U/L, 39.00 (36.20 ~ 44.20) g/L and 16.40 (11.34- ~ 21.15) mmol/L, respectively. ALT, AST, ALB and TBil of the mild or moderate subgroups were 22.75 (16.31- ~ 37.25) U/L, 23.63 (18.71 ~ 26.50) U/L, 39.70 (36.50 ~ 46.10) g/L, and 15.95 (11.34 ~ 20.83) mmol/L, respectively. ALT, AST, ALB and TBil of the severe or critical subgroups were 60.25 (40.88 ~ 68.90) U/L, 37.00 (20.88 ~ 64.45) U/L, 35.75 (28.68 ~ 42.00) g/L, and 20.50 (11.28 ~ 25.00) mmol/L, respectively.@*Conclusion@#The results of this multicenter retrospective study suggests that novel coronavirus pneumonia combined with liver damage is more likely to be caused by adverse drug reactions and systemic inflammation in severe patients receiving medical treatment. Therefore, liver function monitoring and evaluation should be strengthened during the treatment of such patients.

5.
Chinese Journal of Practical Nursing ; (36): 1352-1354, 2018.
Artigo em Chinês | WPRIM | ID: wpr-697207

RESUMO

This paper intends to summarize the disaster nursing in recent 10 years, including the content of clinical research, educational research information, theoretical research results, academic exchange organizations, periodicals and magazines,aiming to provide a reference for the development of disaster nursing in China. Compared with developed countries, China Disaster Nursing Research started relatively late and is still in its infancy, there are many projects to be studied and developed in disaster nursing.

6.
Chongqing Medicine ; (36): 2220-2222, 2016.
Artigo em Chinês | WPRIM | ID: wpr-492896

RESUMO

Objective To investigate the risk factors for drug resistance‐tuberculosis(DR‐TB) ,and to establish a clinical risk predictive model .Methods A total of 126 cases of DR‐TB patients and 126 cases of non‐DR‐TB patients treated in our hospital from January 2014 to January 2015 were included in this study .The clinical data of these patients were collected .We used univariate and multivariate logistic regression analysis to determine the independent risk factors and established a risk predictive model .The calibration and discrimination of the model were assessed by the H‐L test and the area under the ROC curve ,respectively .Results Statistical analysis showed that the risk factors included previous treatment ,a duration of first treatment of more than 8 months ,ad‐verse effects of anti‐TB medication ,more than three TB foci in the lung and diabetes mellitus .H‐L statistic(χ2 =8 .760 ,P=0 .363) . The area under the ROC was 0 .826 ,95% CI(0 .766 ,0 .886) .Conclusion Logistic regression model established in the study can pre‐dict the incidence of DR‐TB with high prediction accuracy .

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