1.Development and acceptance of a virtual reality system for rehabilitation training of swallowing disorders in stroke patients
Shuojin FU ; Kaisheng DONG ; Xueli GAO ; Yanling WANG ; Qian XIAO
Chinese Journal of Modern Nursing 2023;29(18):2421-2426
Objective:To design and develop a swallowing function training system suitable for stroke patients with swallowing disorders, and investigate patients' acceptance of the system based on sufficient experience.Methods:This system was jointly designed by a multidisciplinary team, targeting stroke patients with swallowing disorders. By combining virtual reality (VR) technology, it achieved visual and interesting knowledge guidance, systematic and targeted swallowing function training, and real-time, feedback based on supervision and review. From March to May 2022, convenience sampling was used to select 39 stroke patients with swallowing disorders from Beijing Chaoyang Hospital affiliated with Capital Medical University. On the basis of fully experiencing the system, the system was evaluated from seven dimensions, including perceived usefulness, perceived ease of use, perceived ease of learning, perceived applicability, perceived security, perceived satisfaction, and intention to use.Results:The acceptance evaluation score of the rehabilitation training system for 39 stroke patients with swallowing disorders was 162 (147, 170). There were statistically significant differences in the acceptance evaluation scores of the rehabilitation training system for patients with different levels of education, job types, cumulative time spent using smartphones every day, and willingness to learn swallowing training, whether they understood VR devices or technologies, and whether they considered swallowing training important ( P<0.05) . Conclusions:This system benefits from the visualization effect and a good sense of immersion of VR technology. Compared to traditional methods, it increases the fun, immersion, and feedback of the rehabilitation training process, and patients have a high acceptance of the system, which can be promoted and used.
2.Value of dual-input perfusion of 320 row CT on the efficacy evaluation of small cell lung cancer
Guangzhi WAN ; Chunyan MA ; Jingzhi GUAN ; Guoqing XIE ; Rende LI ; Jingjing ZHOU ; Bin LIU ; Kaisheng DONG
Cancer Research and Clinic 2019;31(3):162-166
Objective To discuss the value of dual-input perfusion of 320 row CT on the efficacy evaluation of small cell lung cancer (SCLC).Methods A total of 18 patients with SCLC confirmed by pathology who received cisplatin plus etoposide chemotherapy between June 2016 and June 2018 in the 8th Medical Center of Chinese PLA General Hospital were collected.All patients received 320 row CT perfusion scan at 3 time points before chemotherapy,after 2 cycles and 4 cycles of chemotherapy.Tumor size,perfusion pseudo color map and bronchial arterial blood flow (BF),pulmonary flow (PF) and perfusion index (PI) were obtained.The efficacy and adverse reactions were evaluated.The single factor analysis was used to make the group comparison.Pearson test was used to make correlation analysis.Results Two patients after 2 cycles of chemotherapy had complete remission (CR),another 2 patients after 4 cycles of chemotherapy had CR,and 3 patients of the above 4 cases with CR had abundant BF;after 4 cycles of chemotherapy,7 cases had partial remission (PR),6 cases had stable disease (SD),1 patient had progression of disease (PD).Dual-input perfusion of 320 row CT showed that 10 cases had the tumor area < 15 cm2 and 8 cased had the tumor area >15 cm2 before the treatment.There was a negative correlation between PI and the tumor area (r =-0.694,P =0.026) on patients with the tumor area < 15 cm2 before the treatment,and no correlation was found in patients with tumor area >15 cm2 (P > 0.05).One case had Ⅳ degree of bone marrow suppression,and obvious adverse reactions were not seen in the rest of the patients.Conclusion Dual-input perfusion of 320 row CT based on the simple imaging can make an accurate quantitative judgement of the effect of SCLC according to perfusion parameter,which provides a new basis for curative effect evaluation on SCLC.
3.Meta-analysis of the effects between endotracheal intubation and laryngeal mask airway for patients with out-of-hospital cardiac arrest
Xiangjun TAO ; Wei GU ; Xiaojuan LIU ; Kaisheng DONG ; Ying WANG ; Shu DING
Chinese Critical Care Medicine 2018;30(2):128-133
Objective To comprehensively evaluate the resuscitation effect of endotracheal intubation (ETI) ventilation and laryngeal mask airway (LMA) for out-of-hospital cardiac arrest (OHCA). Methods Databases such as Cochrane Library, PubMed, Embase, Ebsco, Elsevier, OVID, Springer, Proquest, and China biomedical literature database (CBMdisc), CNKI, Wanfang database, Chinese Science and Technology Journal Full-text Database, VIP Chinese biomedical journal database were searched from the establishment of literature database to December 2017 to study the difference of effects between ETI and LMA for patients with OHCA. The effect determination indexes included the return of spontaneous circulation (ROSC) rate, 1-month survival and 1-month neurological recovery. After evaluation of the quality of included studies and extraction of the data, the software of RevMan 5.3 was used to analyze those outcomes. Results A total of 9 articles, including 7 English, 2 Chinese;5 prospective studies and 4 retrospective studies were included. All of the literatures had high quality, and the Newcastle Ottawa scale (NOS) scored 7-9 points. The Meta-analysis showed that ETI was significantly more beneficial than LMA in improving the rate of ROSC [odds ratio (OR) = 1.51, 95% confidence interval (95%CI) = 1.42-1.62, Z = 12.35, 1 < 0.01], and 1-month survival (OR = 1.16, 95%CI = 1.06-1.26, Z = 3.41, 1 < 0.01), and there was no significant difference in 1-month neurological recovery (OR = 1.13, 95%CI = 0.96-1.32, Z = 1.49, 1 = 0.14). Conclusion ETI has higher recovery success rate and survival rate than LMA for the rescue of OHCA adult patients, but the improvement of the nervous system is unclear.