ObjectiveTo investigate the application value of a machine learning model based on preoperative clinical indicators in predicting the risk of hypoalbuminemia after partial hepatectomy. MethodsA retrospective analysis was performed for the clinical data of 700 patients who underwent partial hepatectomy in Nanfang Hospital， Southern Medical University， from January 2018 to January 2023， including demographic data， history of underlying diseases， tumor characteristics， preoperative laboratory markers， and perioperative indicators. The research data were divided into a training set and a test set at a ratio of 7∶3. The two-independent-samples t test was used for comparison of normally distributed continuous data between two groups； the two-independent-samples Wilcoxon rank-sum test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The least absolute shrinkage and selection operator （LASSO） regression analysis was used to identify characteristic variables， and 7 machine learning algorithms were used to construct predictive models， i.e.， logistic regression， decision tree， artificial neural network， K-nearest neighbors （KNN）， support vector machine， eXtreme gradient boosting， and light gradient boosting machine. The receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the discriminatory ability of models， and the DeLong test was used for comparison of AUC. The calibration curve and decision curve analysis were used to assess the calibration and clinical practicability of models， and the models were compared with albumin-bilirubin （ALBI） score and Model for End-Stage Liver Disease （MELD） score. SHapley Additive exPlanations （SHAP） were used to interpret the key influencing factors for the optimal model. ResultsA total of 700 patients were finally enrolled， 283 （40.42%） developed hypoalbuminemia after surgery. The LASSO regression analysis identified 8 predictive factors of age， hepatitis B， fatty liver， blockade time， preoperative albumin （Alb）， time of operation， intraoperative blood loss， and preoperative aspartate aminotransferase （AST）. Among the 7 machine learning models， the KNN model showed the best overall predictive performance， with an AUC of 0.835 （95% confidence interval： 0.781 — 0.889）， a sensitivity of 84.0%， and a specificity of 65.5% in the test set. ALBI and MELD scores had an AUC of 0.652 and 0.524， respectively， and the KNN model had a better predictive performance than these two scores （Z=5.309 and 8.945， both P <0.001）. The calibration curve showed good consistency between predicted probabilities and actual incidence rates， and the decision curve analysis showed that the KNN model had net clinical benefit across a wide threshold range. The SHAP analysis showed that preoperative Alb， hepatitis B， time of operation， and age were the most significant influencing factors， and a synergistic effect was observed between hepatitis B and age/time of operation. ConclusionThe KNN machine learning model constructed based on preoperative clinical indicators can effectively predict the risk of hypoalbuminemia after partial hepatectomy and has a better performance than traditional scoring models， which provides a reference for the early identification of high-risk patients in clinical practice.

BACKGROUND:The authors found that when the bilateral percutaneous vertebral augmentation is used to treat osteoporotic vertebral compression fractures with a total bone cement injection of 4 mL or more,different distribution patterns were usually presented on the X-rays;however,there were few reports addressing the effects of these patterns of bone cement distribution on the biomechanical properties of fractural vertebrae. OBJECTIVE:To further explore the biomechanical effects of different bone cement filling doses and distribution patterns on biomechanics of the fractural vertebrae using the finite element method. METHODS:The L1-L3 finite element models of osteoporosis were established,and the vertebral compression fractures were simulated in L2.Four distribution patterns bilateral partial fusion(FH type),full fusion(FO type),symmetrical separation(SA type),and asymmetric segregation(SN type)were simulated in 4 and 6 mL injections in the osteoporotic vertebral compression fracture models,respectively,and a total of nine sets of models were obtained.These models were solved under the same boundary conditions and compared with the stress and displacement of the L2 fractural vertebra. RESULTS AND CONCLUSION:(1)The maximum stresses of the nine groups of models were concentrated in the L2 fractural area,and the maximum stress and maximum displacement of each filling model were lower than in the osteoporotic vertebral compression fracture model,indicating the effectiveness of bone cement filling in the treatment of osteoporotic vertebral compression fracture.(2)Compared with 4 mL bone cement filling,6 mL bone cement filling could significantly reduce the stress of fractured vertebrae and enhance the strength of fractured vertebrae while improving the stability of fractured vertebrae.(3)In the same state of movement,the FH type stress was the least,followed by the SA type,both of which were close.FO type stress was the largest,especially in the lateral bend,which might be associated with its cluster shape resulting in the concentration of lateral stress.In the aspect of displacement,FH type was the least and FO type was the largest.(4)The results show that increased dose of bone cement injection reduces fractural vertebral stress and improves stability,but increases the risk of leakage.Bilateral symmetrical dispersed bone cement(FH type,SA type)is superior in restoring vertebral strength and stability than full fusion(FO type),asymmetric separated(SN type)bone cement.Therefore,when clinically performing bilateral percutaneous vertebral augmentation treatment of osteoporotic vertebral compression fractures,the bilateral symmetric dispersions of the distribution are first guaranteed;priority is recommended for FH type distribution,for appropriate stress stimulation and best stability.

Objective:To analyze the etiological characteristics of Clostridium ramosum DZS3717106 isolated from the blood of a patient with septic shock secondary to perianal abscess and the immunological characteristics of the patient. Methods:The isolate was subjected to morphological observation, mass spectrometry, antibiotic susceptibility testing, and 16S rRNA sequencing. Biochemical and cytological test results of the patient were collected. Flow cytometry was used to detect T cell subsets. Impacts of the virulence factors of the isolate on the host immune system were evaluated.Results:DZS3717106 was an anaerobic Clostridium with pleomorphic rod-shaped cells and spores. It was sensitive to penicillin G, piperacillin/tazobactam, and metronidazole, but resistant to clindamycin. It carried various virulence and resistance genes. The patient was immunocompromised with abnormal IL-6, IL-8, and IL-10 levels. Conclusions:Septic shock caused by Clostridium ramosum is rare, and more research is needed on the causes and epidemiology. DZS3717106 infection triggers over-activated inflammatory response in the patient, which may be closely related to the occurrence and development of septic shock.

Objective: To explore the relationship between sleep characteristics, physical activity patterns, with depressive and anxiety symptoms in college students, so as to provide reference for student mental health promotion. Methods: From September to November 2023, a convenience sampling method was used to select 7 954 college students aged 18-22 years from 9 universities in Shanghai, Hubei, and Jiangxi. Assessments were conducted using the International Physical Activity Questionnaire Short-Form (IPAQ-SF), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale-7 (GAD-7), and Pittsburgh Sleep Quality Index (PSQI) to evaluate physical activity, depressive and anxiety symptoms, and sleep quality, respectively. Logistic regression analysis was employed to explore the impact of sleep characteristics and physical activity patterns on depressive and anxiety symptoms and their comorbidity among college students. Results: The detection rates for depressive symptoms, anxiety symptoms, and comorbid depression and anxiety symptoms were 25.67%, 35.39%, and 23.15%, respectively. Factors such as gender, grade, household registration, parental education level, annual family income, family structure, and dietary habits were all associated with the detection rates of depressive and anxiety symptoms and their comorbidity (χ2=4.41-118.39, P<0.05). Physical activity patterns, sleep duration, sleep quality, and sleepwake characteristics were also associated with the occurrence of depressive and anxiety symptoms and their comorbidity (χ2=9.66-627.70, P<0.05). Logistic regression analysis showed that college students who stayed up late and slept less than 7 had the highest risk of depressive and anxiety symptoms and their comorbidity (OR=1.93, 1.85, 1.88, P<0.05). Compared to regular physical activity patterns, insufficient physical activity patterns were associated with an increased risk of depressive and anxiety symptoms (all OR=1.18, P<0.05). Further stratified analysis results showed that the risk of depression, anxiety and their comorbidity increased in college students who stayed up late and slept less than 7 h, went to bed before midnight and slept less than 7 h, or went to bed before midnight and slept more than 7 h but did not have sufficient physical activity (P<0.05). Conclusions Sleep characteristics and physical activity patterns significantly affect depressive and anxiety symptoms in college students. Universities should strengthen sleep management and implement flexible physical activity interventions to help students establish healthy lifestyles.

Objective To retrospectively assess the clinical efficacy of acupuncture at the Huiyin point combined with Qingdu wash solution in the treatment of high-risk HPV infection.Methods A total of 264 patients who were initially diagnosed with high-risk HPV infection at the University City Gynecology Department of Guang-dong Provincial Hospital of Traditional Chinese Medicine between January 2022 and June 2024 were enrolled in the study.These patients were divided into two groups based on predefined inclusion and exclusion criteria.The ob-servation group included 134 patients who received acupuncture at the Huiyin acupoint combined with Qingdu wash solution,while the control group consisted of 130 patients who did not receive any intervention.The treatment pe-riod lasted for three months,during which the short-term clinical efficacy and safety profile were evaluated.Results The HR-HPV clearance rates in the observation group at 3 months and 6 months were 61.9%and 65.7%,respectively,which were significantly higher than those in the control group(16.9%and 21.5%),and the differences between the two groups were statistically significant(P<0.001).Following a three-month treatment regimen,the rate of HR-HPV positive-to-negative conversion in the observation group was significantly higher than that in the control group,with a statistically significant intergroup difference(P<0.001).The improvement in tra-ditional Chinese medicine(TCM)-related symptoms was also significantly better in the observation group compared to the control group(P<0.05).During the follow-up period,no cases of recurrence were observed in the observa-tion group,whereas the recurrence rate in the control group was 1.5%.Furthermore,no adverse reactions were re-ported in the observation group throughout the treatment period.Conclusion Acupuncture at the Huiyin point,when combined with Qingdu wash solution,can enhance the therapeutic outcomes of high-risk HPV infection and demonstrates a favorable safety profile.

Objective To retrospectively assess the clinical efficacy of acupuncture at the Huiyin point combined with Qingdu wash solution in the treatment of high-risk HPV infection.Methods A total of 264 patients who were initially diagnosed with high-risk HPV infection at the University City Gynecology Department of Guang-dong Provincial Hospital of Traditional Chinese Medicine between January 2022 and June 2024 were enrolled in the study.These patients were divided into two groups based on predefined inclusion and exclusion criteria.The ob-servation group included 134 patients who received acupuncture at the Huiyin acupoint combined with Qingdu wash solution,while the control group consisted of 130 patients who did not receive any intervention.The treatment pe-riod lasted for three months,during which the short-term clinical efficacy and safety profile were evaluated.Results The HR-HPV clearance rates in the observation group at 3 months and 6 months were 61.9%and 65.7%,respectively,which were significantly higher than those in the control group(16.9%and 21.5%),and the differences between the two groups were statistically significant(P<0.001).Following a three-month treatment regimen,the rate of HR-HPV positive-to-negative conversion in the observation group was significantly higher than that in the control group,with a statistically significant intergroup difference(P<0.001).The improvement in tra-ditional Chinese medicine(TCM)-related symptoms was also significantly better in the observation group compared to the control group(P<0.05).During the follow-up period,no cases of recurrence were observed in the observa-tion group,whereas the recurrence rate in the control group was 1.5%.Furthermore,no adverse reactions were re-ported in the observation group throughout the treatment period.Conclusion Acupuncture at the Huiyin point,when combined with Qingdu wash solution,can enhance the therapeutic outcomes of high-risk HPV infection and demonstrates a favorable safety profile.

Objective:To analyze the etiological characteristics of Clostridium ramosum DZS3717106 isolated from the blood of a patient with septic shock secondary to perianal abscess and the immunological characteristics of the patient. Methods:The isolate was subjected to morphological observation, mass spectrometry, antibiotic susceptibility testing, and 16S rRNA sequencing. Biochemical and cytological test results of the patient were collected. Flow cytometry was used to detect T cell subsets. Impacts of the virulence factors of the isolate on the host immune system were evaluated.Results:DZS3717106 was an anaerobic Clostridium with pleomorphic rod-shaped cells and spores. It was sensitive to penicillin G, piperacillin/tazobactam, and metronidazole, but resistant to clindamycin. It carried various virulence and resistance genes. The patient was immunocompromised with abnormal IL-6, IL-8, and IL-10 levels. Conclusions:Septic shock caused by Clostridium ramosum is rare, and more research is needed on the causes and epidemiology. DZS3717106 infection triggers over-activated inflammatory response in the patient, which may be closely related to the occurrence and development of septic shock.

Cervical cancer is the leading cause of cancer death in women in the developing countries.The treatment based on surgery,radiotherapy and chemotherapy is often accompanied by intolerable complications.Clinical practice has proved that TCM therapy has a positive effect on the complications related to the treatment of cervical cancer,but there is still a lack of scientific and standardized application reference opinions.Based on Delphi method,our research group constructed and formulated an expert consensus study on the complications related to the treatment of cervical cancer with TCM therapies,so as to provide a reference for clinical treatment of such diseases.

Objective To observe the clinical efficacy of Sanjiao Tiaoqi Acupuncture in the treatment of post-stroke respiratory dysfunction.Methods Seventy-two patients with post-stroke respiratory dysfunction were randomly divided into observation group and control group,36 cases in each group.The control group was given routine treatment,and the observation group was treated with Sanjiao Tiaoqi Acupuncture on the basis of the control group,both groups were treated for 14 consecutive days.After 2 weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of white blood cell count(WBC),C-reactive protein(CRP)and clinical pulmonary infection score(CPIS)were observed before and after treatment.The changes of diaphragmatic activity were compared before and after treatment between the two groups.Results(1)After treatment,the WBC and CRP levels of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving the WBC and CRP levels,with statistically significant differences(P＜0.05).(2)After treatment,the CPIS scores of patients in the two groups were significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving CPIS scores,with a statistically significant difference(P＜0.05).(3)After treatment,the diaphragm mobility of patients in the two groups was significantly improved(P＜0.05),and the observation group was significantly superior to the control group in improving diaphragm mobility,and the difference was statistically significant(P＜0.05).(4)The total effective rate was 91.67％(33/36)in the observation group and 75.00％(27/36)in the control group.The efficacy of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).Conclusion Sanjiao Tiaoqi Acupuncture for post-stroke respiratory dysfunction can significantly promote the absorption of inflammatory factors in patients and improve diaphragm mobility,with remarkable clinical efficacy.