Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Polycystic ovary syndrome （PCOS） is a common gynecological endocrine and reproductive disorder，with the main clinical manifestations including ovulation failure，insulin resistance，hyperandrogenism，and obesity. Its occurrence and development are closely related to cellular regulatory mechanisms such as apoptosis，autophagy，oxidative stress，and inflammatory response. Autophagy，as a clearance mechanism that maintains cellular homeostasis，plays a crucial role in maintaining the growth，development，and maturation of oocytes. Exploring the mechanism of autophagy during the occurrence and development of diseases can help develop treatment methods for PCOS by regulating autophagy. Studies have shown that autophagy plays an important role in the pathogenesis of PCOS，and it can affect the occurrence and development of PCOS through multiple pathways，levels，and targets. Traditional Chinese medicine （TCM） regulates autophagy in ovarian granulosa cells or endometrium of patients with PCOS by targeting the expression of autophagy signaling pathways，regulatory factors，and non-coding single-stranded RNA molecules，thereby alleviating inflammation，regulating metabolism disorders，and balancing hormone levels in PCOS. Accordingly，TCM can ameliorate pathological conditions such as insulin resistance，hyperandrogenism，and ovulation failure in PCOS. This article summarizes the TCM formulas and extracts for the treatment of PCOS，as well as the main autophagy pathways and regulatory factors involved，aiming to provide reference and suggestions for the future treatment of PCOS with TCM by regulating autophagy.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To analyze the current status of internet-based patient education materials related to labor analgesia in China.Methods:Labor analgesia-related materials were retrieved and screened according to the search habits of Chinese search engine users. The coverage and accuracy of the content were evaluated by 3 anesthesiologists. The Chinese version of the Patient Education Materials Assessment Tool for Print Materials was used to subjectively assess comprehensibility and operability from a medical text perspective. The consistency of the evaluation results of the three anesthesiologists was analyzed using the intraclass correlation coefficient method. A machine learning method combined with ChatGPT-4.0 was employed to establish a Chinese readability classification model to objectively evaluate the readability difficulty of the included materials from a Chinese text perspective.Results:A total of 97 web pages were retrieved, with 21 valid materials included in the study. The coverage rate of contraindications for labor analgesia was only 62% (13/21), and the accuracy rate of materials exceeding 90% was 71% (15/21). Internet-based materials that were easy to understand accounted for 81% (17/21), while the constituent ratio of internet-based materials with instructional significance were only 5% (1/21). The intraclass correlation coefficient values of consistency evaluation for coverage rate, accuracy rate, and comprehensibility and operability were 0.975, 0.833, 0.758, and 0.773, respectively ( P<0.001). Internet-based materials suitable for compulsory education level were only 5% (1/21), while those suitable for high school and above education level accounted for 43% (9/21). Conclusions:There are numerous internet-based patient education materials related to labor analgesia in China, but the quality needs improvement. In the future, a collaborative model of " anesthesiology+ linguistics" should be developed to provide patients with more comprehensive, accurate, and pregnant-friendly patient education materials.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital Affiliated to Shandong First Medical University from June 2021 to May 2022. The questionnaire survey content included 4 categories and a total of 30 questions: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, with an age of (21.8±4.9) years (13-41 years). The result of the survey showed that 52.8%(75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2%(138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2%(104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3%(97/142); only 23.2%(33/142) of the respondents understood the harms of tattoos; and 21.8%(31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4%(117/142); the percentage of respondents whose family members approved of the tattoos was only 25.4%(36/142). Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the tattoo risks( P>0.05); the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01); the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01), the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2%(32/42)], and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusion:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the tattoo risks. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the tattoo risks.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital Affiliated to Shandong First Medical University from June 2021 to May 2022. The questionnaire survey content included 4 categories and a total of 30 questions: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, with an age of (21.8±4.9) years (13-41 years). The result of the survey showed that 52.8%(75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2%(138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2%(104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3%(97/142); only 23.2%(33/142) of the respondents understood the harms of tattoos; and 21.8%(31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4%(117/142); the percentage of respondents whose family members approved of the tattoos was only 25.4%(36/142). Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the tattoo risks( P>0.05); the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01); the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01), the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2%(32/42)], and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusion:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the tattoo risks. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the tattoo risks.

Congenital median cleft lip caused by all kinds of reasons is the most basic presentation of facial median cleft. Although a wide array of options is available, the technique employed will largely depend on the surgeon preference and experience, and lack of uniform standards. The basic surgical treatments of midline cleft lip and nose deformities include exposure of abnormal anatomy, repair soft tissue and skin, anatomic approximation of cartilaginous elements, orbicularis oris muscle repair and craniofacial osteotomy. However, there is still no common classification system to stratify the wide variations of midline cleft lip and nasal deformity, which is important to formulate specific surgical method for different types. This article summarized various classifications, recommended to use the Kolker’s classification by which the treatment options were summarized and proposed research prospects to provide ideas for further study.

Objective:To explore the development, application and practical experience of investigator-initiated integrated clinical research information platform.Methods:The process of developing and constructing an integrated clinical research platform in a tertiary hospital in Beijing was introduced, the functions and advantages of the platform were described and displayed, and the main problems and risk points in the development and construction process were analyzed.Results:The integrated clinical research platform meets the management requirements of clinical research initiated by investigators, and the standardized management of the whole life cycle of the project can be realized through the platform, and the key issues of data security, information capture, sharing and interoperability need to be further explored in terms of platform docking.Conclusions:The integrated clinical research platform effectively improves the standardization, management quality and efficiency of investigator-initiated clinical research.

Age-related ovarian hypofunction includes a decrease in follicle quantity and quality as well as alterations in the ovarian microenvironment，the mechanisms of which are mainly related to mitochondrial dysfunction，free radical and antioxidant systems，telomere and telomerase alterations，and apoptosis，and is one of the major factors contributing to infertility in advanced maternal age （AMA）. Despite the tremendous progress in assisted reproductive technology in recent decades，few breakthroughs have been made in alleviating age-related ovarian hypofunction and improving reproductive outcomes for AMA. In recent years，there has been an increasing number of studies on the multi-level and multi-targeted mechanisms of traditional Chinese medicine （TCM） to improve age-related ovarian hypofunction by modulating mitochondrial homeostasis，alleviating oxidative stress，and inhibiting apoptosis，while more high-quality randomized controlled trials have demonstrated the clinical efficacy of TCM in assisted reproductive technology. Given this，this article presented a systematic review of recent research and randomized controlled trials on the mechanism of Chinese medicine active ingredients，single Chinese medicine， and Chinese medicine compounds in delaying age-related ovarian hypofunction，to clarify the current status and shortcomings of the research. This paper provides medication management of TCM for effectively alleviating age-related ovarian hypofunction and improving reproductive outcomes for AMA.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital affiliated to Shandong First Medical University from June 2021 to May 2022. The survey content mainly included: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and 30 questions on tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’ s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, and (21.8±4.9) years (13- 41 years) . The result of the survey showed that 52.8% (75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2% (138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2% (104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3% (97/142) ; only 23.2% (33/142) of the respondents understood the harms of tattoos; and 21.8% (31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4% (117/142) ; the percentage of respondents whose family members approved of the tattoos was only 25.4% (36/142) . Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the dangers of tattooing ( P>0.05) ; the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01) ; the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01) , the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2% (32/42) ] , and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusions:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the dangers of tattoos. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the dangers of tattoos.