Objective:To establish the model of acute kidney injury (AKI), search for more sensitive and reliable biomarkers.Methods:In April 2018, 100 male Wister rats aged 6 to 8 weeks were selected and randomly divided into experimental group (n=90) and control group (n=10). The experimental group was given Diachalefin (140 mg/kg body weight) by intragastric administration, while the control group was given saline intragastric administration. Ten rats in the experimental group were killed 0.5 h, 2 h, 6 h, 24 h, 3 d, 7 d, 14 d, 21 d and 28 d after intragastric administration, respectively. Serum creatinine (Cr), urea nitrogen (BUN) and uric acid (UA) were detected by automatic biochemical analyzer with 5 ml of blood from inferior vena cava puncture. Serum neutrophil gelatinase-associated lipid carrier protein (NGAL), kidney damage molecule-1 (KIM-1) and transforming growth factor-β1 (TGF-β1) levels were determined by enzyme-linked immunosorbent assay (ELISA). The data between groups were compared using two independent sample t tests.Results:The renal tissue structure of rats in the control group was not significantly abnormal, while the renal tissue cell damage of rats in the experimental group was obvious, which gradually increased with the extension of time in the early stage, and gradually recovered in the later stage. UA in experimental group reached its peak at 24 h after exposure and was still higher than that in control group at 14 d ( P<0.05), Cr reached its peak at 7 d, and then gradually decreased, and there was no statistical significance between experimental group and control group at 28 d ( P>0.05). BUN increased at 6 h after exposure and reached the highest value at 7~14 d ( P<0.05). Blood NGAL increased at 0.5 h after exposure, reached its peak at 24 h, continued to increase at 3, 7 and 14 days ( P<0.05), and began to decrease at 21 days. KIM-1 began to increase at 0.5 h, continued to peak at 24 h, 3 and 7 d after exposure, and began to decrease at 14 d, but it was still higher than that in control group ( P<0.05). There was no significant difference in TGF-β1 at each time point ( P>0.05). Western blot assay results: Compared with control group, there was no significant difference in the expression level of TGF-β1 in kidney tissue of experimental group ( P>0.05). NGAL increased gradually from 2 h and was higher at 7 and 14 d, with statistical significance ( P<0.05). KIM-1 increased at 2 h, decreased at 6 and 24 h, and increased again at 3 and 7 d. Conclusion:NGAL and KIM-1 can be used as early diagnostic biomarkers for diquat-induced acute kidney injury.

Objective:To analyze the reoperation rate and causes during the early adoption phase of unilateral biportal endoscopy (UBE).Methods:The clinical data of 180 patients who underwent UBE performed by a single surgeon at Beijing Friendship Hospital, Capital Medical University from October 2021 to June 2023 were retrospectively analyzed. Clinical and imaging data of patients who underwent reoperation were collected to analyze the causes of reoperation, and the clinical efficacy of the reoperations was also followed up. Measurement data were expressed as mean ± standard deviation ( ± s), and t-test was used before and after treatment. Results:A total of 180 patients who underwent UBE were included in this study, of which 6 patients underwent reoperation, and the reoperation rate was 3.33%. Among them, 3 cases occurred in the first 90 surgeries and the other 3 occurred in the subsequent 90 surgeries. The causes of reoperation were as follows: recurrent lumbar disc herniation at the same segment postoperatively in 2 cases, insufficient decompression in 2 cases, disc herniation following isolated decompression in 1 case, and immediate postoperative perianal numbness in 1 case. The time between the initial surgery and reoperation ranged from 0 to 187 days, with an average of 63.3 days. The average follow-up time after reoperation was 18.3 months. The visual analogue scale (VAS) and Oswestry disability index (ODI) scores of the patients at the last follow-up were significantly improved compared with those before operation (VAS score of low back pain: 5.2 ± 1.7 before operation, 1.2 ± 0.8 at the last follow-up, P<0.001; VAS score of leg pain: 7.2 ± 1.5 before operation, 1.2 ± 1.2 at the last follow-up, P<0.001; ODI score: 67.3 ± 5.7 before operation, 20.2 ± 8.2 at the last follow-up, P<0.001). The postoperative modified MacNab scores were generally satisfactory (4 cases were rated as excellent, accounting for 66.7%; 2 cases were rated as good, accounting for 33.3%). Except for one patient who experienced dural injury during open revision surgery, there were no serious complications such as nerve damage. Conclusions:In the early stages of UBE surgery, recurrent lumbar disc herniation and inadequate decompression are the primary reasons for reoperation, typically occurring within the first three months postoperatively. Reoperation does not significantly increase the risk of nerve injury. Enhanced early postoperative follow-up is recommended. For symptomatic patients, a second surgery with thorough decompression can yield satisfactory treatment outcomes.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Objective:To evaluate the safety and efficacy of the TiRobot assisted screw placement in patients with lumbar degenerative diseases.Methods:The clinical data of 165 patients with lumbar degenerative diseases from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyze, and all patients were treated with posterior lumbar decompression and instrumentation. Among them, 46 patients were used the TiRobot assisted screw placement during surgery (robotic-assisted group), and 119 patients underwent freehand screw placement by C-arm X-ray machine fluoroscopy (freehand group). The operation time, intraoperative blood loss, complication and skelalgia visual analogue scale (VAS), Oswestry disability index (ODI) before and after operation were recorded. The accuracy of screw placement and rate of proximal facet joint violation were compared between two groups.Results:There were no statistical difference in operation time, intraoperative blood loss and incidence of complication between two groups ( P>0.05). In the two groups, the 3 d VAS and ODI after operation were significantly lower than those before operation, robot-assisted group: (3.33 ± 1.40) scores vs. (6.54 ± 2.00) scores and (16.96 ± 8.03) scores vs. (43.09 ± 5.48) scores; freehand group: (3.56 ± 1.29) scores vs. (6.55 ± 1.65) scores and (18.89 ± 6.74) scores vs. (44.91 ± 4.96) scores, and there were statistical differences ( P<0.01); there were no statistical difference in VAS and ODI before operation and 3 d after operation between two groups ( P>0.05). A total of 234 screws were implanted in robot-assisted group, and 590 screws were implanted in freehand group. The accuracy of screw placement in robot-assisted group was significantly higher than that in freehand group: 80.77% (189/234) vs. 74.58% (440/590), the rate of proximal facet joint violation was significantly lower than that in freehand group: 2.56% (6/234) vs. 7.29% (43/590), and there were statistical differences ( χ2 = 3.56 and 6.68, P<0.05). Conclusions:The TiRobot assisted screw placement for lumbar degenerative diseases is safe and effective. Compared to freehand technique, the TiRobot assisted method demonstrates higher screw placement accuracy and a lower rate of proximal facet joint violation.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Objective:To evaluate the safety and efficacy of the TiRobot assisted screw placement in patients with lumbar degenerative diseases.Methods:The clinical data of 165 patients with lumbar degenerative diseases from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyze, and all patients were treated with posterior lumbar decompression and instrumentation. Among them, 46 patients were used the TiRobot assisted screw placement during surgery (robotic-assisted group), and 119 patients underwent freehand screw placement by C-arm X-ray machine fluoroscopy (freehand group). The operation time, intraoperative blood loss, complication and skelalgia visual analogue scale (VAS), Oswestry disability index (ODI) before and after operation were recorded. The accuracy of screw placement and rate of proximal facet joint violation were compared between two groups.Results:There were no statistical difference in operation time, intraoperative blood loss and incidence of complication between two groups ( P>0.05). In the two groups, the 3 d VAS and ODI after operation were significantly lower than those before operation, robot-assisted group: (3.33 ± 1.40) scores vs. (6.54 ± 2.00) scores and (16.96 ± 8.03) scores vs. (43.09 ± 5.48) scores; freehand group: (3.56 ± 1.29) scores vs. (6.55 ± 1.65) scores and (18.89 ± 6.74) scores vs. (44.91 ± 4.96) scores, and there were statistical differences ( P<0.01); there were no statistical difference in VAS and ODI before operation and 3 d after operation between two groups ( P>0.05). A total of 234 screws were implanted in robot-assisted group, and 590 screws were implanted in freehand group. The accuracy of screw placement in robot-assisted group was significantly higher than that in freehand group: 80.77% (189/234) vs. 74.58% (440/590), the rate of proximal facet joint violation was significantly lower than that in freehand group: 2.56% (6/234) vs. 7.29% (43/590), and there were statistical differences ( χ2 = 3.56 and 6.68, P<0.05). Conclusions:The TiRobot assisted screw placement for lumbar degenerative diseases is safe and effective. Compared to freehand technique, the TiRobot assisted method demonstrates higher screw placement accuracy and a lower rate of proximal facet joint violation.

Objective:To establish the model of acute kidney injury (AKI), search for more sensitive and reliable biomarkers.Methods:In April 2018, 100 male Wister rats aged 6 to 8 weeks were selected and randomly divided into experimental group (n=90) and control group (n=10). The experimental group was given Diachalefin (140 mg/kg body weight) by intragastric administration, while the control group was given saline intragastric administration. Ten rats in the experimental group were killed 0.5 h, 2 h, 6 h, 24 h, 3 d, 7 d, 14 d, 21 d and 28 d after intragastric administration, respectively. Serum creatinine (Cr), urea nitrogen (BUN) and uric acid (UA) were detected by automatic biochemical analyzer with 5 ml of blood from inferior vena cava puncture. Serum neutrophil gelatinase-associated lipid carrier protein (NGAL), kidney damage molecule-1 (KIM-1) and transforming growth factor-β1 (TGF-β1) levels were determined by enzyme-linked immunosorbent assay (ELISA). The data between groups were compared using two independent sample t tests.Results:The renal tissue structure of rats in the control group was not significantly abnormal, while the renal tissue cell damage of rats in the experimental group was obvious, which gradually increased with the extension of time in the early stage, and gradually recovered in the later stage. UA in experimental group reached its peak at 24 h after exposure and was still higher than that in control group at 14 d ( P<0.05), Cr reached its peak at 7 d, and then gradually decreased, and there was no statistical significance between experimental group and control group at 28 d ( P>0.05). BUN increased at 6 h after exposure and reached the highest value at 7~14 d ( P<0.05). Blood NGAL increased at 0.5 h after exposure, reached its peak at 24 h, continued to increase at 3, 7 and 14 days ( P<0.05), and began to decrease at 21 days. KIM-1 began to increase at 0.5 h, continued to peak at 24 h, 3 and 7 d after exposure, and began to decrease at 14 d, but it was still higher than that in control group ( P<0.05). There was no significant difference in TGF-β1 at each time point ( P>0.05). Western blot assay results: Compared with control group, there was no significant difference in the expression level of TGF-β1 in kidney tissue of experimental group ( P>0.05). NGAL increased gradually from 2 h and was higher at 7 and 14 d, with statistical significance ( P<0.05). KIM-1 increased at 2 h, decreased at 6 and 24 h, and increased again at 3 and 7 d. Conclusion:NGAL and KIM-1 can be used as early diagnostic biomarkers for diquat-induced acute kidney injury.

Objective:To explore the current situation of professional identity of intern nursing students in Shandong Province, to analyze the potential characteristics of different categories of intern nursing students' professional identity, and to provide reference for formulating relevant intervention programs.Methods:From September to October 2023, using convenient cluster sampling, selected nursing students from different regions of Shandong Province colleges and universities as the research objects, a total of 1298 questionnaires were released and recovered, with 1221 valid questionnaires, and the effective recovery rate of questionnaires was 94.07%. General demographic data was collected, and information on nursing students' professional identity was investigated with the Nursing Students' Professional Identity Questionnaire, the Work Readiness Scale, and the Feedback Seeking Behavior Scale. Latent potential profiles of nursing students' sense of professional identity were analyzed by Mplus 8.3 software, and the best-fitting model was selected by the test of fitness and difference. The χ 2 test was used for comparison between groups of count data, analysis of variance (ANOVA) was used for comparison between groups of measure data, and the effects of each factor on different potential profiles were analyzed by multivariate logistic analysis. Results:A total of 1221 intern nursing students were 984 (80.6%) females and 237 (19.4%) males, aged (21.12±2.96) years old, with a total score of (64.23±14.99) for nursing students' professional identity. Nursing students' professional identity was divided into 3 categories: 98 (8.0%) in the low identity group, 624 (51.4%) in the medium identity group, and 496 (40.6%) in the high identity group. The gender, region, age, work readiness scores and feedback seeking behavior scores of nursing students in different categories were different, and the differences were statistically significant ( P<0.05). Compared with the high identity group, the nursing students in the low identity group were more likely to be included in the high identity group ( OR=0.390, 0.167, P=0.005, 0.006) with higher work readiness and better feedback seeking behavior. Compared with the high identity group, the higher work readiness and non-Jinan areas of the medium identity group were more likely to be included in the high identity group ( OR=0.597, 1.470, P=0.011, 0.012). Compared with the medium identity group, the more feedback seeking behaviors of the low identity group were more likely to be included in the medium identity group ( OR=10.411, P<0.001) . Conclusion:The level of professional identity of intern nursing students can be classified into 3 categories, and nursing administrators can improve work readiness and increase feedback seeking behaviors according to the potential characteristics of the different types to enhance the professional identity of nursing students.

Objective:To explore the current situation of professional identity of intern nursing students in Shandong Province, to analyze the potential characteristics of different categories of intern nursing students' professional identity, and to provide reference for formulating relevant intervention programs.Methods:From September to October 2023, using convenient cluster sampling, selected nursing students from different regions of Shandong Province colleges and universities as the research objects, a total of 1298 questionnaires were released and recovered, with 1221 valid questionnaires, and the effective recovery rate of questionnaires was 94.07%. General demographic data was collected, and information on nursing students' professional identity was investigated with the Nursing Students' Professional Identity Questionnaire, the Work Readiness Scale, and the Feedback Seeking Behavior Scale. Latent potential profiles of nursing students' sense of professional identity were analyzed by Mplus 8.3 software, and the best-fitting model was selected by the test of fitness and difference. The χ 2 test was used for comparison between groups of count data, analysis of variance (ANOVA) was used for comparison between groups of measure data, and the effects of each factor on different potential profiles were analyzed by multivariate logistic analysis. Results:A total of 1221 intern nursing students were 984 (80.6%) females and 237 (19.4%) males, aged (21.12±2.96) years old, with a total score of (64.23±14.99) for nursing students' professional identity. Nursing students' professional identity was divided into 3 categories: 98 (8.0%) in the low identity group, 624 (51.4%) in the medium identity group, and 496 (40.6%) in the high identity group. The gender, region, age, work readiness scores and feedback seeking behavior scores of nursing students in different categories were different, and the differences were statistically significant ( P<0.05). Compared with the high identity group, the nursing students in the low identity group were more likely to be included in the high identity group ( OR=0.390, 0.167, P=0.005, 0.006) with higher work readiness and better feedback seeking behavior. Compared with the high identity group, the higher work readiness and non-Jinan areas of the medium identity group were more likely to be included in the high identity group ( OR=0.597, 1.470, P=0.011, 0.012). Compared with the medium identity group, the more feedback seeking behaviors of the low identity group were more likely to be included in the medium identity group ( OR=10.411, P<0.001) . Conclusion:The level of professional identity of intern nursing students can be classified into 3 categories, and nursing administrators can improve work readiness and increase feedback seeking behaviors according to the potential characteristics of the different types to enhance the professional identity of nursing students.

In recent years, robotic surgery technology has advanced rapidly and is now widely applied in general surgery, urology, and other fields. As spine surgery advances toward minimally invasive, endoscopic, and intelligent approaches, the development of spinal endoscopic surgery robots has become imperative. Current robotic-assisted spine surgery systems offer significant advantages, such as improved accuracy in positioning, enhanced precision in needle placement, reduced radiation exposure, and shorter operative times, etc. However, spinal endoscopic robotic technology is still in its initial development stage and faces limitations such as optical navigation. In the future, the integration of optical and electromagnetic navigation, combined with 3D imaging and robotic technologies, will greatly improve the precision of spine endoscopic surgery. With continued advancements in technology, including the incorporation of artificial intelligence and telemedicine, spinal endoscopic surgical assistant robots are expected to play an increasingly important role in spine surgery, offering promising prospects for development.