Objective To evaluate the efficacy of automated medication management system in increasing clinical anesthesia management specification.Methods Sixty registered anesthesiologists of both sexes in our hospital,residents or attending physicians,with 1-10 yr of work experience,were divided into 2 groups (n =30 each) using a random number table:traditional medication management mode group (group T) and automated medication management system group (group A).In the clinical anesthesia work,traditional artificial management mode was used in group T,the mode of automated medication management system was used in group A,and 2 licensed pharmacists worked in the center pharmacy of our hospital were introduced for each group.Time of taking medicine was recorded by licensed pharmacists,and the error rates of taking medicine and recording were determined by licensed pharmacists.Results Compared with group T,the error rates of taking medicine and recording were significantly decreased (P＜0.01),and no significant change was found in the time of taking medicine in group A (P＞0.05).Medication errors including taking wrong anesthesia drug,wrong prescription recording,wrong names of the common drugs and drug omission were not detected in group A.Conclusion Application of automated medication management system can reduce the occurrence of errors made in taking medicine and recording,specify medication management and increase the quality of clinical anesthesia management.

Objective:To explore the effect of mindfulness therapy on self burden, hope and sleep of middle-aged bladder cancer patients undergoing bladder sparing chemotherapy.Methods:Sixty patients with bladder cancer treated by intravesical instillation chemotherapy with bladder preservation from January 2018 to December 2019 were selected as the study subjects. They were divided into control group and intervention group according to the sequence of chemotherapy time, with 30 cases in each group. Both groups received routine nursing and rehabilitation training in urology, and mindfulness therapy was added to the intervention group for 6 weeks. Before and 6 weeks after the intervention, the sleeping and mental status of the two groups were compared by the Self-Burden Feeling Scale (SPBS), Herth Hope Scale (HHI) and Insomnia Severity Index Scale (lSI).Results:There was no significant difference in SPBS, HHI and ISI scores between the two groups before intervention ( P > 0.05). After 6 weeks of intervention, SPBS score of patients in the intervention group was 47.00±1.41, and that of the control group was 49.50±0.62.After 6 weeks of intervention, the total score of HHI was 32.61±1.94 in the intervention group and 27.22±2.67 in the control group.After 6 weeks of intervention, ISI score of patients in the intervention group was 19.17± 1.72, and that of the control group was 20.67±2.24. The difference between the two groups was statistically significant ( t values were 6.454, -7.042, 2.097, P < 0.01 or 0.05). Conclusions:Mindfulness therapy can effectively improve insomnia and cancer emotional problems in patients with bladder cancer who underwent bladder preservation and perfusion.

Objective:To investigate the value of 18F-FDG PET/CT imaging signs and metabolic parameters in predicting tumor spread through air spaces (STAS) of stage Ⅰ lung adenocarcinoma. Methods:From January 2019 to December 2021, clinical, imaging and metabolic parameters of 381 patients (126 males, 255 females, age (61.2±9.2) years) with stage Ⅰ lung adenocarcinoma were retrospectively analyzed in the Affiliated Hospital of Qingdao University. According to the postoperative pathological results, patients were divided into STAS positive group and STAS negative group. According to the operation time, patients were divided into training set ( n=254) and verification set ( n=127). χ2 test or Mann-Whitney U test was used to compare the differences of different parameters between patients with STAS positive and negative, and binary logistic regression analysis was used to select the predictors of STAS status. The prediction model was established, and ROC curve was used to evaluate the predictive efficacy. Results:There were 49(19.3%, 49/254) patients with STAS positive and 205(80.7%, 205/254) patients with STAS negative in the training set, while those were 35(27.6%, 35/127) and 92(72.4%, 92/127) in the verification set. In the training set, the differences of age ( z=-2.30, P=0.021), type of lesions ( χ2=6.81, P=0.009), spiculation ( χ2=12.64, P<0.001), bronchus truncation ( χ2=6.98, P=0.008), ground glass ribbon sign ( χ2=26.93, P<0.001) and SUV max ( z=-4.62, P<0.001) between the two groups were statistically significant. Multivariate logistic regression analysis showed that age (odds ratio ( OR)=1.048, 95% CI: 1.004-1.094, P=0.032), ground glass ribbon sign ( OR=3.857, 95% CI: 1.693-8.788, P=0.001) and SUV max ( OR=1.133, 95% CI: 1.001-1.282, P=0.049) were independent predictors of STAS status in stage Ⅰ lung adenocarcinoma patients. The logistic regression model was P=1/(1+ e - x), x=-5.292+ 0.480×age (year)+ 1.493×ground glass ribbon sign+ 0.170×SUV max. The AUCs of the model in the training set and verification set were 0.770 and 0.801, with the sensitivity of 81.6%(40/49) and 82.9%(29/35), and the specificity of 69.8%(143/205) and 65.2%(60/92), respectively. Conclusion:Age, ground glass ribbon sign and SUV max have good predictive effects on the occurrence of STAS in stage Ⅰ lung adenocarcinoma.