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Objective:To summarize the nursing experience of a patient with refractory hypoxia, septic shock and delirium after pulmonary endarterectomy combined with coronary artery bypass grafting for severe chronic thromboembolic pulmonary hypertension.Methods:An elderly patient with severe chronic thromboembolic pulmonary hypertension admitted to China-Japan Friendship Hospital in December 2020 was given nursing measures in terms of hemodynamic management, anticoagulant management, nursing of intractable hypoxia and balloon pulmonary arterioplasty, infection prevention and control, lung rehabilitation, early functional exercise and transitional nursing etc.Results:After multiple consultations with multidisciplinary experts inside and outside the hospital, the patient′s diagnosis and treatment plan was refined. After individualized and comprehensive nursing, the patient recovered well after surgery and was transferred back to the common ward 57 days after surgery, and discharged successfully 73 days after surgery.Conclusions:The individual and comprehensive nursing measures for this patient have effectively improved the prognosis of the patient and improved the quality of life of the patient.
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Objective:To study on the differences of profile spectra among chemical components in Magnoliae Officinalis Cortex from different varieties and habitats,and to screen and identify the characteristic components affecting the quality difference of this herb. Method:The chromatogram data sets of Magnoliae Officinalis Cortex from different varieties and habitats were obtained by liquid chromatography-time-of-flight-mass spectrometry(LC-TOF-MS).Principal component analysis,partial least squares-discriminant analysis and cluster analysis were used to compare the differences in chemical profiles among Magnoliae Officinalis Cortex from different varieties and habitats,and adopted to screen out the characteristic chemical constituents that resulted in these differences and to perform mass spectrometry analysis and comparison. Result:Eleven characteristic peaks were identified by LC-TOF-MS chromatographic data and reported in the literature.The use of chemical profile could distinguish different habitats of Magnoliae Officinalis Cortex,but could not completely distinguish different varieties of this herb. Conclusion:LC-TOF-MS can easily and quickly study on the profile differences of chemical substances in Magnoliae Officinalis Cortex from different varieties and different habitats,the results of this study can provide a theoretical basis for the quality evaluation and pharmacodynamic material basis of this herb.
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Objective To evaluate the causes of DR waste film rates in different characteristic cases,and provide basis for quality control.Methods DR waste film rates of 98 503 cases from PACS were analyzed.All cases were grouped according to gender,age,X ray projection direction and projection position.The differences of DR waste film rates between the groups were compared.Results DR waste film rate in 98 503 cases was 4.89％ and factors that caused waste film were incorrect position,foreign materials,motion artifacts,machine problems and inappropriate X ray dosage.DR waste film rate was affected by gender,age,X ray projection direction,but not affected by projection position.Conclusion Analysis of DR waste film rate in different characteristic cases could provide basis for the quality control to reduce the DR waste film rate.
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Objective To design and implement a medication recommending system for chronic hepatitis B (CHB) in order to predict CHB inpatient clinical medication.Methods The system was designed and realized with improved ML-KNN algorithm,training the multi-label data set extracted from HIS database,Java framework technology as well as MyEclipse9.0 platform.Results The system could predict the clinical medication of the CHB inpatient,and enhanced the CHB inpatient satisfaction greatly.Conclusion The system is of practical value for the the clinical medication of the CHB inpatient,and thus is worthy promoting practically.
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Objective To design and implement a medication recommending system for chronic hepatitis B (CHB) in order to predict CHB inpatient clinical medication.Methods The system was designed and realized with improved ML-KNN algorithm,training the multi-label data set extracted from HIS database,Java framework technology as well as MyEclipse9.0 platform.Results The system could predict the clinical medication of the CHB inpatient,and enhanced the CHB inpatient satisfaction greatly.Conclusion The system is of practical value for the the clinical medication of the CHB inpatient,and thus is worthy promoting practically.