Objective To study the application effect of feedback training mode on new neonatal recovery technology.Methods 101 midwives,obstetric doctors and pediatricians who participated the training were tested about the professional knowledge and skills of new neonatal recovery technology according to the teaching material of neonatal asphyxia recovery and neonatal resuscitation guidelines (2007 revision in Beijing).The results showed no statistical significance.And they were randomly divided into the control group (51 cases) and the observation group(50 cases).The control group adopted traditional method,that was,the teacher taught first and then the students took practice.The observation group used feedback training method.Results The theoretical and technical results of the observation group were significantly higher than those of the control group.The learning motivation,learning initiative,cooperation degree,ability of observation and solving problem and operation proficiency were also significantly higher than those of the control group.Conclusions Feedback training methods can significantly increase the learning effect of perinatal personnel,and make popularized the new neonatal recovery technology.

Thirty-five patients with ketosis-prone diabetes (KPD) and 38 patients with newly-diagonosed common type 2 diabetes mellitus (DM) were treated with insulin for 3 months.The results showed that the existing insulin resistance in patients with KPD was mild as compared with common type 2 DM, and the recovery of insulin sensitivity was less marked in patients with KPD after blood glucose was well controlled.

Objective To study the anti-inflammatory,antitussive,and analgesia effects of Jinhua qingre capsules.Methods The anti-inflammatory effect was assessed by the methods include xylene-induced mouse auricular swelling and histamine-induced pigment oozing from skin vessel in rats;The antitussive and analgesic effect were assessed by ammonia water induced cough model and acetic acid-induced twisting method.Results In anti-inflammation experiment,the high dose (12 g·kg-1) and moderate (6 g·kg-1) groups of Jinhua qingre capsules showed significant inhibitory effect on auricular swelling and significant difference compared with control group (P ＜ 0.01,P ＜ 0.05.);the high dose (10 g· kg-1) and moderate dose (5 g·kg-1) groups of Jinhua Qingre capsules play a marked inhibitory role in the increase in mouse peritoneal capillary permeability (P ＜ 0.01,P ＜ 0.05).In antitussive experiment,high dose (12 g· kg-1) and moderate dose (6 g· kg-1) groups had significant inhibitory effect on cough caused by ammonia water (P ＜ 0.01,P ＜ 0.05) compared with control group.In analgesic experiment,the high dose (12 g·kg-1),moderate dose (6 g·kg-1),and low dose (3 g·kg-1) groups effectively reduced the writhing frequency of mice (P ＜ 0.01,P ＜ 0.05).Conclusion Jinhua qingre capsules have potential effects on anti-inflammatory,antitussive,and analgesic.

Objective:To construct a risk prediction model for unplanned extubation (UEX) in postoperative patients, and to verify the predictive performance of the model.Methods:From January 2019 to April 2020, 314 patients who underwent surgy in Wuxi People's Hospital Affiliated to Nanjing Medical University and had postoperative indwelling catheters were selected by convenience sampling as the research object. The patients were divided into UEX group ( n=25) and non-UEX group ( n=289) according to whether UEX occurred postoperatively. The gender, age, admission to ICU, tracheal intubation, physical restraint, catheter number, analgesia, sedation, taking sleeping pills and postoperative fever of the two groups of patients were counted. Binomial Logistic regression was used to analyze the risk factors of postoperative UEX, and a risk prediction model was established. The area under the curve ( AUC) of receiver operating characteristic curve was used to test the predictive performance of the model. According to the same standard, the clinical data of 134 patients who underwent surgy from May to December 2020 were selected to validate the model. Results:The risk prediction model for UEX in postoperative patients finally included 3 risk factors, physical restraint, tracheal intubation, and age, and assigned 0-2, 0-4, and 0-5 respectively. The scores of the 3 indicators were summed up as a total score, with a total score of 0 to 11. The AUC was 0.887 [95% CI (0.807, 0.967) ] , the maximum Youden index was 0.591, the sensitivity was 0.640, the specificity was 0.951, and the predictive critical value was 5.5. The model validation showed that the sensitivity was 66.7%, the specificity was 92.6%, and the correct rate was 90.3%. Conclusions:The risk prediction model for UEX in postoperative patients has a good predictive performance, which can help clinical medical and nursing staff to quickly identify patients with high risk of UEX after surgery, and provide a reference for formulating targeted interventions.

OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.