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Objective To explore the epidemiological distribution characteristics of blood pressure in patients with altitude sickness, and the influence of abnormal glucose metabolism and other factors on abnormal blood pressure in patients with altitude sickness, so as to propose preventive plans. Methods From the 358 patients with altitude sickness diagnosed in our hospital from January 2017 to June 2021, 259 patients who met the inclusion criteria of this study were selected for analysis (99 patients with previously diagnosed hypertension were excluded, and the final 259 patients) The study selected 259 subjects, collected information on blood pressure, blood glucose levels, and other potential influencing factors, analyzed associations, and discussed reasonable prevention strategies. Statistics using SPSS19.0. Results The mean systolic blood pressure of newly diagnosed hypertensive patients was (154.36±12.58) mmHg, the diastolic blood pressure was (93.69±9.54) mmHg, and the pulse pressure difference was (61.25±10.28) mmHg, (compared with the control group t/P value: 16.505/ 1+0.130x2+0.874 x3+0.849x4+0.309x5+0.341x6+0.895x7-0.064x8 . Conclusion Strengthening the publicity and education of health knowledge related to chronic diseases in patients with altitude sickness, enhancing their awareness of high-risk factors such as hyperglycemia, and effective control of blood sugar and blood lipids have positive effects on preventing complicated hypertension.
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Objective To analyze the correlation between dyslipidemia and obesity caused by carnivorous diet among people aged 18 and over in the plateau area of Qinghai Province. Methods This study selected 396 subjects aged 18 and above from the multi-physical examination centers in Qinghai Province to be included in the analysis. Routine questionnaires were used to collect general demographic data, overweight and obesity and risk factors information of the subjects. At the same time, the incidence of obesity was calculated based on the BMI level. Results The proportion of abnormal lipids in high altitude residents(35.68%,38.96%,41.78%,33.80%,35.21%)was higher than that in low altitude residents(23.49%,21.85%,25.68%,25.68%,19.67%).The proportion of abnormal lipids in male group(21.39%,18.90%,16.91%,15.92%,22.38%)was higher than that in female group(13.33%,11.28%,8.20%,9.23%,14.35%).The proportion of abnormal lipids in 60-80 years old group(32.51%,21.47%,23.31%,20.24%,25.15%)was higher than that in 18-44 years old group(18.67%,2.48%,12.00%,2.48%,14.67%)and 45-59 years old group(16.45%,12.02%,13.92)%,10.75%,14.55%).The rate of dyslidemia in obese people(27.43%,24.77%,25.66%,8.84%,28.31%)was higher than that in underweight people(20.51%,6.87%,6.87%,15.38%,16.67%),normal weight people(10.14%,7.24%,4.34%,4.34%,5.79%)and the overweight group(16.91%,14.70%,11.76%,12.50%,13.23%)was higher.The rate of dyslidemia in junior college and above group(4.76%,5.95%,5.35%,4.76%,4.16%)was higher than that in primary school and middle school(12.94%,10.58%,8.23%,7.05%,5.88%).High school/technical secondary school(18.18%,18.88%,13.28%,14.68%,16.78%)were lower(P<0.05).In terms of average intake of meat,the proportion of overweight/underintake in obese group(55.15%,33.82%)was higher than that in non-obese group(16.54%,26.15%),and the proportion of normal intake in obese group(11.03%)was lower than that in non-obese group(57.31%).The proportion of excessive/low intake in normal group(18.05%,26.35%)was lower than that in dyslipidemia group(53.78%,26.05%),and the proportion of normal intake in normal group(55.60%)was higher than that in dyslipidemia group(20.17%)(P<0.05).With abnormal blood lipid as the dependent variable and excessive/low meat intake as the independent variable,the regression analysis showed that both excessive/low meat intake were risk factors for abnormal blood lipid(OR=1.134,1.146,P<0.05).Taking obesity as the dependent variable and excessive/low meat intake as the independent variable,the regression analysis showed that both excessive/low meat intake were risk factors for obesity(OR=1.145,1.327,P<0.05).Conclusion The dietary characteristics of people aged 18 and over in the plateau area are unstable. The incidence of dyslipidemia is 30.05%, and the incidence of obesity is 34.34%. Excessive or too little meat intake is associated with dyslipidemia and obesity in this population.
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Objective:To analyze the application fields of 5G communication technology in the epidemic prevention and control of corona virus disease 2019 (COVID-19), and build a 5G intelligent medical service system for COVID-19 epidemic prevention and control in China.Methods:We collected and analyzed 5G technology application cases used in the fight against COVID-19 from December 2019 to February 2020: 5G + telemedicine application cases, 5G + negative pressure ambulance cases, 5G + remote monitoring cases, 5G + artificial intelligence cases, 5G + infrared thermography temperature detection cases, and 5G + big data analysis cases.Results:Through the analysis of 5G application cases in COVID-19 epidemic prevention and control, the key elements of 5G intelligent medical service system in COVID-19 epidemic prevention and control were discovered. By optimizing and upgrading the internal service mode of the hospital, breaking the internal and external barriers, integrating internal and external resources, and strengthening 5G intelligent medical security, we can form a 5G intelligent medical service system for COVID-19 epidemic prevention and control, including application layer, technical service layer, network support layer, and security system layer.Conclusions:5G communication technology has the characteristics of faster speed, shorter time delay and denser capacity. In COVID-19 epidemic prevention and control work, it can further improve the efficiency of doctors' diagnosis, improve patients' medical experience, realize the remote sharing of high-quality medical resources and real-time information exchange, effectively block the spread of epidemic, alleviate the shortage of medical resources and medical staff, and make the epidemic prevention and control more efficient.
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Objective@#To analyze application fields of 5G communication technology in Corona Virus Disease 2019 (COVID-19) epidemic prevention and control, and build a 5G intelligent medical service system for COVID-19 epidemic prevention and control in China.@*Methods@#We collected and analyzed 5G technology application cases used in the fight against COVID-19 from December 2019 to February 2020: 5G + telemedicine application cases, 5G + negative pressure ambulance cases, 5G + remote monitoring cases, 5G + artificial intelligence cases, 5G + infrared thermography temperature detection cases, 5G + big data analysis cases for epidemic prevention and control.@*Results@#Through the analysis of 5G application cases in COVID-19 epidemic prevention and control, we found out the key elements of 5G intelligent medical service system in COVID-19 epidemic prevention and control. By optimizing and upgrading the internal service mode of the hospital, breaking the internal and external barriers, integrating internal and external resources, and strengthening 5G intelligent medical security, we can form a 5G intelligent medical service system for COVID-19 epidemic prevention and control, including application layer, technical service layer, network support layer and security system layer.@*Conclusion@#5G communication technology has the characteristics of faster speed, shorter time delay and denser capacity. In COVID-19 epidemic prevention and control work, it can further improve the efficiency of doctors' diagnosis, improve patients' medical experience, realize the remote sharing of high-quality medical resources and real-time information exchange, effectively block the spread of epidemic, alleviate the shortage of medical resources and medical staff, and make the epidemic prevention and control more efficient.
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Human errors are errors found in planning or implementation, and those found in medical practice are often major causes of mishaps.To name a few, wrong-site surgery, medication error, wrong treatment, and inadvertent equipment operation.Errors of this category can be prevented by learning from experiences and achievement worldwide.Preventive measures include those taken in human aspect and system aspect, reinforced education and training, process optimization, and hardware redesign.These measures can be aided by multiple safety steps in risky technical operations, in an effort to break the accident chain.For example, pre-operative surgical site marking, multi-department co-operated patient identification, bar-coded medication delivery, read-back during verbal communication, and observation of clinical pathway.Continuous quality improvement may be achieved when both the management and staff see medical errors in the correct sense, and frontline staff are willing to report their errors.