Objective To solve the encountered problem of lack of space and dyskinesia of detector in dual energy X-ray absorptiometry system, Methods The method used PartitionMagic8.0 software to partition space in hard disk and added the load to keep the detector balance for moving, Results The original software can run in hard disk, and the pulleys are not gotten force from side. Conclusion The reason of problem is analyzed to find the method that can reduce the percentage for system failure and improve precision and accuracy of data.

The objective of this paper is to find out a way that calculate the consumed peak value of oxygen in medical central oxygen supply system,which is the basis for discussion of purchasing hospital oxygen generating system.The author established a math model by poisson distribution to describe the consumed peak value of oxygen in medical central oxygen supply system to find out a convenience way to calculate the consumed peak value of oxygen.

Objective To determine the indexes for evaluating medical central compressing air sypply system.Methods According to the gas equation,pressure calculation was perfomed with the pressure variation as the monitoring subject.Results Such parameters could be used for monitoring medical central compressing air supply system as as average velocity & instanteous velocity of gas consumption,air compressor's average exhaust velocity & exhaust velocity at start-stop point,and pressure-exhaust velocity curve of air compressor.Conclusion The method can be applied to enhancement of quality management & maintenance of the equipment.

Objective To compare the effectiveness of controlling blood loss in the treatment of complex acetabular fracture between temporary occlusion of abdominal aorta by interventional balloon (TOAAIB),temporary occlusion of common iliac artery by interventional balloon (TOCAIIB) and internal iliac artery ligation (IIAL).Methods Included for this study were 113 complex acetabular fractures which had been treated at Department of Orthopaedic Trauma,Shaoguang Hospital Affiliated to Southern Medical University from January 2000 through January 2017.There were 68 males and 45 females,aged from 23 to 61 years (average,42.3 years).According to the Letournel classification,all of them belonged to complex fractures,including 10 T-type,24 double-column,16 posterior column & posterior wall,46 transverse & posterior wall and 15 anterior & posterior half-transverse ones.They were all treated by open reduction and internal fixation but differed in surgical hemostasis techniques:TOAAIB was used in 37cases,TOCAIIB in 31 and IIAL in 45.Fracture reduction was evaluated by Matta criteria.Intraoperative bleeding and postoperative wound drainage,fracture union and complications related to interventions were recorded.Hip function was evaluated by Modified d'Aubigne & Postal clinical grading system after fracture healing.Results The 3 groups (TOAAIB,TOCAIIB and IIAL) were comparable because there were no significant differences in gender,age,time from injury to surgery,Letournel classification or surgical approaches between the patients in the 3 groups (P ＞ 0.05).Anatomical reduction was achieved in 91.15％ of the patients (103/113) and satisfactory reduction in 8.85％ (10/113).Intraoperative hemorrhage was 1,631.5 ±675.5 mL in the HAL group,892.6 ±217.7 mL in the TOCAIIB group and 648.0 ± 170.2 mL in the TOAAIB group,showing significant differences between the 3 groups (P ＜ 0.05).One case of femoral artery thrombosis occurred in the TOAAIB group at the end of operation but was cured by symptomatic treatment of anticoagulation.There were no interventional complications in the other 2 groups.There were no significant differences between the 3 groups in postoperative wound drainage,fracture union time,hip function score or complications (P ＞ 0.05).Conclusions In controlling intraoperative bleeding in the surgery for complex acetabular fracture,TOAAIB may be the best,followed by TOCAIIB,and IIAL may be the worst.However,choice of a proper surgical hemostasis technique should also depend on the specific intraoperative condition of a specific patient.

Objective:To explore the relationship between clinical nurses' psychological capital, compassion fatigue with work engagement, and analyze the mediating effect of psychological capital between compassion fatigue and work engagement, so as to provide scientific evidence for reducing compassion fatigue and improving work engagement of clinical nurses.Methods:From December 2021 to February 2022, 494 clinical nurses from 7 general hospitals in Sichuan Province were selected for the study using convenience sampling. The General Information Questionnaire, the Compassion Fatigue Short Scale, the Work Engagement Short Scale and the Psychological Capital Questionnaire for Nurses were used to conduct the survey. Pearson correlation was used to analyze the correlation between compassion fatigue, work engagement and psychological capital. And stepwise regression analysis and Bootstrap method were used to analyze the effects of compassion fatigue and psychological capital on work engagement as well as the mediating effect of psychological capital between compassion fatigue and work engagement.Results:Of the 494 clinical nurses, 33 (6.7%) were male and 461 (93.3%) were female, with an average age of (31.47±6.89) years old and an average working years (9.87±7.61) years. The average scores of psychological capital, compassion fatigue and work engagement of clinical nurses were (5.01±0.76), (3.19±2.08) and (4.60±1.37) points, respectively. Compassion fatigue was negatively correlated with psychological capital and work engagement ( r=-0.608, -0.580, P<0.001), and work engagement was positively correlated with psychological capital ( r=0.771, P<0.001). Compassion fatigue and psychological capital together accounted for 61.3% of the variation in work engagement, with the direct effects on work engagement were -0.206 (95% CI: -0.283--0.138, P<0.001) and 0.677 (95% CI: 0.599-0.744, P=0.001), respectively. Psychological capital partially mediated the relationship between compassion fatigue and work engagement, with a mediating effect of -0.397 (95% CI: -0.456--0.340, P<0.001), accounting for 65.8% of the total effect. Conclusion:The work engagement of clinical nurses is at a high level. Managers should take targeted measures to alleviate the symptoms of clinical nurses' compassion fatigue, improve their psychological capital, and then stabilize and improve their level of work engagement.

Objective:To explore the relationship between clinical nurses' psychological capital, compassion fatigue with work engagement, and analyze the mediating effect of psychological capital between compassion fatigue and work engagement, so as to provide scientific evidence for reducing compassion fatigue and improving work engagement of clinical nurses.Methods:From December 2021 to February 2022, 494 clinical nurses from 7 general hospitals in Sichuan Province were selected for the study using convenience sampling. The General Information Questionnaire, the Compassion Fatigue Short Scale, the Work Engagement Short Scale and the Psychological Capital Questionnaire for Nurses were used to conduct the survey. Pearson correlation was used to analyze the correlation between compassion fatigue, work engagement and psychological capital. And stepwise regression analysis and Bootstrap method were used to analyze the effects of compassion fatigue and psychological capital on work engagement as well as the mediating effect of psychological capital between compassion fatigue and work engagement.Results:Of the 494 clinical nurses, 33 (6.7%) were male and 461 (93.3%) were female, with an average age of (31.47±6.89) years old and an average working years (9.87±7.61) years. The average scores of psychological capital, compassion fatigue and work engagement of clinical nurses were (5.01±0.76), (3.19±2.08) and (4.60±1.37) points, respectively. Compassion fatigue was negatively correlated with psychological capital and work engagement ( r=-0.608, -0.580, P<0.001), and work engagement was positively correlated with psychological capital ( r=0.771, P<0.001). Compassion fatigue and psychological capital together accounted for 61.3% of the variation in work engagement, with the direct effects on work engagement were -0.206 (95% CI: -0.283--0.138, P<0.001) and 0.677 (95% CI: 0.599-0.744, P=0.001), respectively. Psychological capital partially mediated the relationship between compassion fatigue and work engagement, with a mediating effect of -0.397 (95% CI: -0.456--0.340, P<0.001), accounting for 65.8% of the total effect. Conclusion:The work engagement of clinical nurses is at a high level. Managers should take targeted measures to alleviate the symptoms of clinical nurses' compassion fatigue, improve their psychological capital, and then stabilize and improve their level of work engagement.

Objective To explore the current status of posttraumatic growth (PTG) among nurses at psychiatric department and analyze its latent profiles and population characteristics. Methods A total of 357 nurses from psychiatric departments of five tertiary Grade A hospitals were selected as the research subjects using the convenience sampling method. The PTG and professional quality of life were studied using the Posttraumatic Growth Inventory and the Chinese version of the Compassion Fatigue Scale. Results The PTG score of the nurses was (56.6±23.2). The scores of compassion satisfaction, burnout, and secondary traumatic stress among nurses were (32.6±7.2), (26.9±5.9), and (26.0±5.4), respectively. The result of potential profile analysis showed that the nurses could be divided into three latent profiles based on PTG levels: low PTG group (34.4%), moderate PTG group (44.0%), and high PTG group (21.6%). The results of multinomial logistic regression analysis showed that the nurses who slept 7-8 hours per day were at higher risk of being in the high PTG group compared with those who slept more than eight hours per day (P<0.05). Psychiatric nurses who took regular exercise were at higher risk of being in the high PTG group compared with those who took irregular exercise (P<0.05). The nurses who had high job satisfaction scores were at higher risk of being in the high PTG group compared with those who had low job satisfaction scores (P<0.01). The nurses with higher compassion satisfaction scores increased the risk of being in the high PTG group compared with those with lower compassion satisfaction scores (P<0.01). The nurses with higher burnout scores increased the risk of being in the low PTG group compared with those with lower burnout scores (P<0.01). Conclusion The PTG characteristics of the nurses exhibit heterogeneity and can be categorized into three distinct profiles. Sleep duration, regular exercise, job satisfaction, compassion satisfaction, and burnout are influencing factors for the PTG latent profiles of nurses working at psychiatric department.

OBJECTIVE: To explore the clinical characteristics and outcomes of adult critically ill patients with COVID-19 and identify the risk factors correlated with in-hospital deaths. METHODS: This study was conducted among 20 confirmed adult cases of COVID-19 in the Intensive Care Unit (ICU) of Honghu People's Hospital in Jingzhou City, Hubei Province. According to the final outcome, the patients were divided into survivor group and death group with 10 patients each. The demographic data, clinical manifestations and signs, laboratory findings, treatment measures and clinical outcomes were obtained from electronic medical records to compare the clinical characteristics and outcomes between the two groups. Univariate logistic analysis was used to analyze the risk factors associated with in-hospital death. RESULTS: The mean age of patients with confirmed COVID-19 was 70 ± 12 years, and 40% of them were male. The patients were admitted to ICU 11 ± 9 days after symptom onset. The most common symptoms on admission were cough (19 cases), fatigue or myalgia (18 cases), fever (17 cases) and dyspnea (16 cases). Eleven (55%) of the patients had underlying diseases, among which hypertension was the most common (11 cases), followed by cardiovascular disease (4 cases) and diabetes (3 cases). Six (30%) of the patients received invasive mechanical ventilation and continued renal replacement therapy but eventually died. Acute cardiac injury was the most common complication (19 cases). Half of the patients died between the 2nd and 19th day after ICU admission. Compared with dead patients, the surviving patients had a lower average body weight (61.70±2.36 68.60±7.15 kg, =0.01) and a higher Glasgow Coma Index (14.69 ± 0.70 12.70 ± 2.45, =0.03), and were less likely to develop shock (2 10, =0.001) or acute respiratory distress syndrome (2 10, =0.001). CONCLUSIONS Critically ill patients with COVID-19 are generally older. A higher body weight and a lower lymphocyte count are potentially associated with a greater likeliness of fatality in ICU patients with COVID-19.
Aged ; Aged, 80 and over ; Betacoronavirus ; Coronavirus Infections ; Critical Illness ; Female ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; Retrospective Studies