1.Clinical application of meditation training in postoperative rehabilitation of repeat cesarean section patients
Xin GU ; Yunjuan HUANG ; Xiaodong CAO ; Huiying XU ; Wujia JIANG ; Chunxia REN
Chinese Journal of Practical Nursing 2017;33(16):1242-1245
Objective To study the effect of postoperative rehabilitation of meditation training on repeat cesarean section patients. Methods A total of 86 cases of repeat cesarean section from October 1st, 2014 to October 1st, 2016 were collected. The patients were divided into the observation group (43 cases) and the control group (43 cases) by random digits table method. The observationgroup received meditation therapy by a well-trained nurse based on the routine treatment. The control group was treated with routine treatment. The two groups were compared by postoperative pain score, anxiety and depression scores, the first breastfeeding time, the first urination time and satisfaction. Results After intervention, the postoperative pain visual scores of the observation group and the control group were 3.21 ± 1.51 and 5.41±1.45 respectively, the difference was statistically significant (t=3.817, P<0.01). After intervention, the scores of Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) of the observation group were 10.86±1.95,9.22±2.76, and 16.88±2.09,14.02±3.79 in the control group, the differences were statistically significant (t=11.518, 6.317, P<0.01). The first out-of-bed time of the observation group were as follows:<4 h:9.30%(4/43), 4-6 h:88.37%(38/43),>6 h/failure:2.32%(1/43). While the data of the control group were <4h: 18.60%(8/43), 4-6 h: 67.44%(29/43), >6 h/failure: 13.95%(6/43), the differences were statistically significant (t=6.114, P<0.05). The satisfaction of the observation group and the control group were 98.47% (42/43) and 91.69% (39/43) respectively, the difference was statistically significant. (χ2=7.679, P<0.01). ConclusionsMeditation can effectively reduce the postoperative pain, reduce the incidence of anxiety, shorten the first time of breastfeeding and urination, and improve patients′satisfaction.
2.Construction and validation of a risk prediction model for unplanned extubation in postoperative patients
Qing ZHAO ; Wujia JIANG ; Liping ZHOU ; Chaoli XU ; Yi CHEN ; Xin YU
Chinese Journal of Modern Nursing 2022;28(23):3090-3095
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.