BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

The microbial limit standards in the Chinese Pharmacopoeia 2020 edition primarily focus on total aerobic microbial count and specified objectionable microorganisms,which are insufficient for comprehensively assessing the potential risks posed by microbial contamination to drug efficacy and patient safety.With the increasing com-plexity of rising regulatory requirements,there is an urgent need to establish a scientific and systematic microbial risk assessment and control framework.In response,the Chinese Pharmacopoeia 2025 edition,introduces a new general guideline 9212 Risk Assessment and Control of Unacceptable Microorganisms for Non-sterile Products.This chapter systematically constructs a framework for the identification and control of risks associated with unacceptable microorganisms,filling a gap in the relevant field within international pharmacopoeias.This article systematically elaborates on its key elements based on its core framework and content.It covers the development background,core concepts,testing and identification strategies,evaluation of risk characterization factors,formulation of risk control measures,and implementation pathways.The aim is to provide pharmaceutical enterprises and regulatory agencies with systematic and clear practical guidance.

Whole Genome Sequencing(WGS)technology,leveraging its significant advantages in precise microbial identification and traceability analysis,has become a core tool in international pharmaceutical microbial quality control.The release and implementation of the Guideline 9110 for Microbial Whole Genome Sequencing Technology in the Chinese Pharmacopoeia 2025 Edition marks the official entry of China's pharmaceutical microbial quality con-trol into the genomic era.Guideline 9110 establishes universal technical specifications for the application of WGS technology in pharmaceutical microbial quality control,covering laboratory general requirements,key technical parameters,technical workflow,major factors affecting sequencing results,method validation,and application guidance.This article focuses on the background of the standard's development and its technical rationale,provi-ding a systematic interpretation of key technical indicators,the scope of application,and essential points for techni-cal implementation.It aims to offer theoretical guidance and practical references for the industry in applying WGS technology.

The microbial limit standards in the Chinese Pharmacopoeia 2020 edition primarily focus on total aerobic microbial count and specified objectionable microorganisms,which are insufficient for comprehensively assessing the potential risks posed by microbial contamination to drug efficacy and patient safety.With the increasing com-plexity of rising regulatory requirements,there is an urgent need to establish a scientific and systematic microbial risk assessment and control framework.In response,the Chinese Pharmacopoeia 2025 edition,introduces a new general guideline 9212 Risk Assessment and Control of Unacceptable Microorganisms for Non-sterile Products.This chapter systematically constructs a framework for the identification and control of risks associated with unacceptable microorganisms,filling a gap in the relevant field within international pharmacopoeias.This article systematically elaborates on its key elements based on its core framework and content.It covers the development background,core concepts,testing and identification strategies,evaluation of risk characterization factors,formulation of risk control measures,and implementation pathways.The aim is to provide pharmaceutical enterprises and regulatory agencies with systematic and clear practical guidance.

Whole Genome Sequencing(WGS)technology,leveraging its significant advantages in precise microbial identification and traceability analysis,has become a core tool in international pharmaceutical microbial quality control.The release and implementation of the Guideline 9110 for Microbial Whole Genome Sequencing Technology in the Chinese Pharmacopoeia 2025 Edition marks the official entry of China's pharmaceutical microbial quality con-trol into the genomic era.Guideline 9110 establishes universal technical specifications for the application of WGS technology in pharmaceutical microbial quality control,covering laboratory general requirements,key technical parameters,technical workflow,major factors affecting sequencing results,method validation,and application guidance.This article focuses on the background of the standard's development and its technical rationale,provi-ding a systematic interpretation of key technical indicators,the scope of application,and essential points for techni-cal implementation.It aims to offer theoretical guidance and practical references for the industry in applying WGS technology.

Objective:To analyze the current status, influencing factors and action pathways of quality of life in patients with cardiovascular disease.Methods:From July 2023 to June 2024, a convenience sampling method was used to obtain 2 702 patients with cardiovascular disease from 9 hospitals in Guangxi Zhuang Autonomous Region.The general information questionnaires, item short form health survey, self-rating depression scale, self-rating anxiety scale, type D personality scale-14, and type A behavior pattern scale were used for investigation.SPSS 26.0 and AMOS 24.0 softwares were used for data statistical analysis.The current status of quality of life were analyzed through descriptive statistics, the influencing factors of quality of life were analyzed using multiple linear regression analysis models, and the relationship between statistical variables was analyzed through paths.Results:The overall quality of life score of patients with cardiovascular disease was (59.29±17.59).Compared with the domestic normal population norm, the 8 factors had statistically significant differences ( t=16.50-44.16, all P<0.001).The results of multiple regression analysis showed that age, marital status, low per capita monthly income, lack of exercise, irregular daily life, poor appetite, unhealthy diet, poor sleep quality, hypertension, coronary heart disease, chronic heart failure, heart valve disease, multiple types of medication taken daily, anxiety level, depression level, type D personality, and type A personality all had negative predictive effects on quality of life ( B=-0.862--0.205, all P<0.05).Demographic and life factors affected the quality of life through 4 paths, and their direct effect and indirect effect were -0.183, 0.224 respectively (there was a masking effect).Disease-related factors affected life through 2 paths, and its direct effect and indirect effect were -0.341, 0.255 respectively (there was a masking effect).Psychological factors directly and negatively affected the quality of life through one path, and its effect value was -0.651. Conclusion:The quality of life of patients with cardiovascular disease is generally at a moderate to low level.The factors that affect the quality of life of patients with cardiovascular disease produce effects through multiple pathways in a multi-combined state.

Objective To explore the impact of suture configuration and fixation type on the biome-chanical strength of rotator cuff repair,using a factorial design study.Methods Sixteen fresh-frozen porcine shoulder samples were randomized into an anchorless double-row suture bridge transosseous su-tures(DS)group,an anchored double-row suture bridge transosseous-equivalent(DE)group,an an-chorless X-BOX construct transosseous sutures(XS)group,and an anchored X-BOX construct transos-seous-equivalent(XE)group,each of four,according to suture configuration(double-row suture bridge,traditional X-BOX construct)and fixation type(suture anchors,transosseous sutures).Then,their fatigue resistance(first-cycle excursion,gap length difference ratio,and the percentage of ex-posed footprints)and the failure strength(the maximum failure load and the re-tear type)were mea-sured using a biomechanical material testing machine.Results Different suture configurations affected failure strength(F=39.559,P<0.001),with the double-row suture bridge groups(693.07±58.35 N,746.76±138.57 N)showing significantly higher failure strength,compared to the traditional X-BOX groups(462.90±18.91 N,421.43±90.76 N).However,the fixation type did not significantly im-pact failure strength(F=1.161,P=0.302).Moreover,the suture configuration influenced the gap differ-ence ratio(F=7.781,P=0.016),but had no significant correlation with other fatigue resistance indica-tors(P>0.05).Meanwhile,failure strength and fatigue resistance were not correlated with fixation type,and the interaction between suture and fixation type(P>0.05).The incidence of failure types for the four suture configurations was as follows:Type I tendon tear:XS>XE>DS=DE;type II tendon tear:DS>XE>XS=DE;fixing material-related failure:DE>DS=XE=XS.Conclusion The failure strength and gap formation ratio in rotator cuff repair under fatigue loading are influenced by suture configuration,whereas no significant association has been observed with respect to fixation method,whether using transosseous sutures or suture anchors.

Objective:To analyze the current status, influencing factors and action pathways of quality of life in patients with cardiovascular disease.Methods:From July 2023 to June 2024, a convenience sampling method was used to obtain 2 702 patients with cardiovascular disease from 9 hospitals in Guangxi Zhuang Autonomous Region.The general information questionnaires, item short form health survey, self-rating depression scale, self-rating anxiety scale, type D personality scale-14, and type A behavior pattern scale were used for investigation.SPSS 26.0 and AMOS 24.0 softwares were used for data statistical analysis.The current status of quality of life were analyzed through descriptive statistics, the influencing factors of quality of life were analyzed using multiple linear regression analysis models, and the relationship between statistical variables was analyzed through paths.Results:The overall quality of life score of patients with cardiovascular disease was (59.29±17.59).Compared with the domestic normal population norm, the 8 factors had statistically significant differences ( t=16.50-44.16, all P<0.001).The results of multiple regression analysis showed that age, marital status, low per capita monthly income, lack of exercise, irregular daily life, poor appetite, unhealthy diet, poor sleep quality, hypertension, coronary heart disease, chronic heart failure, heart valve disease, multiple types of medication taken daily, anxiety level, depression level, type D personality, and type A personality all had negative predictive effects on quality of life ( B=-0.862--0.205, all P<0.05).Demographic and life factors affected the quality of life through 4 paths, and their direct effect and indirect effect were -0.183, 0.224 respectively (there was a masking effect).Disease-related factors affected life through 2 paths, and its direct effect and indirect effect were -0.341, 0.255 respectively (there was a masking effect).Psychological factors directly and negatively affected the quality of life through one path, and its effect value was -0.651. Conclusion:The quality of life of patients with cardiovascular disease is generally at a moderate to low level.The factors that affect the quality of life of patients with cardiovascular disease produce effects through multiple pathways in a multi-combined state.

Objective To explore the impact of suture configuration and fixation type on the biome-chanical strength of rotator cuff repair,using a factorial design study.Methods Sixteen fresh-frozen porcine shoulder samples were randomized into an anchorless double-row suture bridge transosseous su-tures(DS)group,an anchored double-row suture bridge transosseous-equivalent(DE)group,an an-chorless X-BOX construct transosseous sutures(XS)group,and an anchored X-BOX construct transos-seous-equivalent(XE)group,each of four,according to suture configuration(double-row suture bridge,traditional X-BOX construct)and fixation type(suture anchors,transosseous sutures).Then,their fatigue resistance(first-cycle excursion,gap length difference ratio,and the percentage of ex-posed footprints)and the failure strength(the maximum failure load and the re-tear type)were mea-sured using a biomechanical material testing machine.Results Different suture configurations affected failure strength(F=39.559,P<0.001),with the double-row suture bridge groups(693.07±58.35 N,746.76±138.57 N)showing significantly higher failure strength,compared to the traditional X-BOX groups(462.90±18.91 N,421.43±90.76 N).However,the fixation type did not significantly im-pact failure strength(F=1.161,P=0.302).Moreover,the suture configuration influenced the gap differ-ence ratio(F=7.781,P=0.016),but had no significant correlation with other fatigue resistance indica-tors(P>0.05).Meanwhile,failure strength and fatigue resistance were not correlated with fixation type,and the interaction between suture and fixation type(P>0.05).The incidence of failure types for the four suture configurations was as follows:Type I tendon tear:XS>XE>DS=DE;type II tendon tear:DS>XE>XS=DE;fixing material-related failure:DE>DS=XE=XS.Conclusion The failure strength and gap formation ratio in rotator cuff repair under fatigue loading are influenced by suture configuration,whereas no significant association has been observed with respect to fixation method,whether using transosseous sutures or suture anchors.

Objective To investigate the efficacy and safety of self-help inflatable balloon in the treatment of refractory benign upper digestive tract stricture.Methods From November 2022 to February 2024,10 patients with refractory benign upper digestive tract stricture underwent self-help inflatable balloon were retrospectively analyzed.Preoperative treatment,intraoperative and postoperative complications,dysphagia score before and after surgery,wearing time of external self-help inflatable balloon,and the clinical efficacy were evaluated.Results All the 10 patients received self-help inflatable balloon treatment.No complications such as bleeding and perforation occurred in all patients during the wearing of the balloon.The placement time of the balloon was 60～180 d,and the average wearing time was 104.9 d.Before surgery,nine cases had a stricture segment length less than 2 cm,and one case had a stricture segment length of 6 cm.The dysphagia score before surgery was(3.60±0.52),and the dysphagia score after removal of the self-help inflatable balloon was(0.60±0.52),and there was statistical significance in preoperative and postoperative comparison(P＜0.05).The dysphagia score 3 months after removal of the external self-help inflatable balloon was(0.70±0.48),there was no significant difference in dysphagia score between the day after surgery and 3 months after surgery(P＞0.05).The diameter of the stricture before and after operation was(5.09±2.02)mm and(10.35±0.73)mm respectively,and the difference was statistically significant(P＜0.05).Sore throat,wing of nose pain and balloon displacement were the most common adverse events,with 30.0％(3/10),50.0％(5/10)and 70.0％(7/10),respectively.Conclusion It is safe,effective and feasible to treat refractory benign upper digestive tract stricture with self-help inflatable balloon in vitro.It is worthy for clinical application.