Objective:To evaluate the effect of 5th generation mobile communication technology(5G) remote robot-assisted cholecystectomy on postoperative recovery and quality of life in patients with gallstones.Methods:Clinical data of patients who underwent 5G remote robotic cholecystectomy(20 cases) vs traditional robotic cholecystectomy(20 cases) at Gansu Provincial People's Hospital from May to September 2023 were retrospectively analyzed. Intraoperative and postoperative related indexes were compared between the two groups, and changes in pain analog scores before, 12 hours, and 24 hours after surgery, and global quality of life (GIQLI) scores before and 3 months after surgery were evaluated.Results:There was no significant difference between the two groups in terms of intraoperative and postoperative conditions (intraoperative blood loss, operative time, time to exhaustion, and length of hospital stay). Patients' pain analog scores at 12 and 24 hours postoperatively were lower than preoperatively, but the differences were not statistically significant( P>0.05). In addition, there was no significant difference in recovery indicators between the two groups compared to the control group ( P>0.05). Conclusion:The postoperative recovery metrics of 5G tele-robotic-assisted cholecystectomy were consistent with the results of conventional robotic surgery.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.

AIM:To explore the therapeutic effect of Tongfeng-Qingli mixture(TFQLM)and its mechanism in hyperuricemic(HUA)rats based on uric acid(UA)transporter and Janus kinase 2(JAK2)/signal transducer and acti-vator of transcription 3(STAT3)signaling pathway.METHODS:(1)In vivo experiment:36 male SD rats were random-ly divided into control(CON)group,model(MOD)group,benzbromarone(BEN)group,low-dose TFQLM(TFQLM-L)group,medium-dose TFQLM(TFQLM-M)group,and high-dose TFQLM(TFQLM-H)group,with 6 rats in each group.In all groups except CON group,HUA was induced in rats by giving hypoxanthine(HP)combined with potassium oxybate(OP)for 35 consecutive days.The rats in CON group were given sodium carboxymethyl cellulose solution by gavage.A fully automatic biochemistry analyzer was used to detecte serum UA,serum creatinine(SCr)and blood urea nitrogen(BUN)levels.The xanthine oxidase(XOD)and adenosine deaminase(ADA)levels in the liver were detected by ELISA kits.The histopathological changes of kidneys were observed by HE staining.Immunohistochemistry was performed to de-tect urate transporter 1(URAT1)and glucose transporter 9(GLUT9),organic anion transporter 1(OAT1)and OAT3 ex-pression in the kidney.Western blot was used to measure the protein levels of URAT1,GLUT9,OAT1,OAT3,interleu-kin-6(IL-6),tumor necrosis factor-α(TNF-α),JAK2,p-JAK2,STAT3,p-STAT3 and repressor of cytokine signaling 3(SOCS3)in the kidney.(2)In vitro experiments:HUA cellular model was established by UA stimulation in HK2 cells,and the protein levels of URAT1,GLUT9,OAT1,OAT3,IL-6,TNF-α,JAK2,p-JAK2,STAT3,p-STAT3,and SOCS3 were detected by Western blot.RESULTS:Compared with MOD group,serum UA,SCr and BUN levels of the rats in all TFQLM groups were reduced(P<0.05).The XOD and ADA levels in liver tissues were significantly reduced(P<0.05).The protein levels of URAT1,GLUT9,IL-6,TNF-α,JAK2,p-JAK2,STAT3,p-STAT3 and SOCS3 were decreased(P<0.05),and OAT1 and OAT3 protein expression was increased(P<0.05)in kidneys and HK2 cells.CONCLUSION:By establishing rat and HK2 cell HUA models,it is hypothesized that TFQLM may reduce UA levels and attenuate renal inflammation in HUA rats,and its mechanism may be related to the regulation of UA transport proteins and inhibition of the JAK2/STAT3 signaling pathway.

AIM:To explore the therapeutic effect of Tongfeng-Qingli mixture(TFQLM)and its mechanism in hyperuricemic(HUA)rats based on uric acid(UA)transporter and Janus kinase 2(JAK2)/signal transducer and acti-vator of transcription 3(STAT3)signaling pathway.METHODS:(1)In vivo experiment:36 male SD rats were random-ly divided into control(CON)group,model(MOD)group,benzbromarone(BEN)group,low-dose TFQLM(TFQLM-L)group,medium-dose TFQLM(TFQLM-M)group,and high-dose TFQLM(TFQLM-H)group,with 6 rats in each group.In all groups except CON group,HUA was induced in rats by giving hypoxanthine(HP)combined with potassium oxybate(OP)for 35 consecutive days.The rats in CON group were given sodium carboxymethyl cellulose solution by gavage.A fully automatic biochemistry analyzer was used to detecte serum UA,serum creatinine(SCr)and blood urea nitrogen(BUN)levels.The xanthine oxidase(XOD)and adenosine deaminase(ADA)levels in the liver were detected by ELISA kits.The histopathological changes of kidneys were observed by HE staining.Immunohistochemistry was performed to de-tect urate transporter 1(URAT1)and glucose transporter 9(GLUT9),organic anion transporter 1(OAT1)and OAT3 ex-pression in the kidney.Western blot was used to measure the protein levels of URAT1,GLUT9,OAT1,OAT3,interleu-kin-6(IL-6),tumor necrosis factor-α(TNF-α),JAK2,p-JAK2,STAT3,p-STAT3 and repressor of cytokine signaling 3(SOCS3)in the kidney.(2)In vitro experiments:HUA cellular model was established by UA stimulation in HK2 cells,and the protein levels of URAT1,GLUT9,OAT1,OAT3,IL-6,TNF-α,JAK2,p-JAK2,STAT3,p-STAT3,and SOCS3 were detected by Western blot.RESULTS:Compared with MOD group,serum UA,SCr and BUN levels of the rats in all TFQLM groups were reduced(P<0.05).The XOD and ADA levels in liver tissues were significantly reduced(P<0.05).The protein levels of URAT1,GLUT9,IL-6,TNF-α,JAK2,p-JAK2,STAT3,p-STAT3 and SOCS3 were decreased(P<0.05),and OAT1 and OAT3 protein expression was increased(P<0.05)in kidneys and HK2 cells.CONCLUSION:By establishing rat and HK2 cell HUA models,it is hypothesized that TFQLM may reduce UA levels and attenuate renal inflammation in HUA rats,and its mechanism may be related to the regulation of UA transport proteins and inhibition of the JAK2/STAT3 signaling pathway.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.

Objective:To evaluate the effect of 5th generation mobile communication technology(5G) remote robot-assisted cholecystectomy on postoperative recovery and quality of life in patients with gallstones.Methods:Clinical data of patients who underwent 5G remote robotic cholecystectomy(20 cases) vs traditional robotic cholecystectomy(20 cases) at Gansu Provincial People's Hospital from May to September 2023 were retrospectively analyzed. Intraoperative and postoperative related indexes were compared between the two groups, and changes in pain analog scores before, 12 hours, and 24 hours after surgery, and global quality of life (GIQLI) scores before and 3 months after surgery were evaluated.Results:There was no significant difference between the two groups in terms of intraoperative and postoperative conditions (intraoperative blood loss, operative time, time to exhaustion, and length of hospital stay). Patients' pain analog scores at 12 and 24 hours postoperatively were lower than preoperatively, but the differences were not statistically significant( P>0.05). In addition, there was no significant difference in recovery indicators between the two groups compared to the control group ( P>0.05). Conclusion:The postoperative recovery metrics of 5G tele-robotic-assisted cholecystectomy were consistent with the results of conventional robotic surgery.

Objective:This study aimed to construct a risk prediction model for obstructive sleep apnea（OSA） related hypertension based on the nomogram, and to explore the independent risk factors for OSA-related hypertension, so as to provide reference for clinical treatment decision-making. Methods:The clinical data of OSA patients diagnosed by polysomnography from October 2019 to December 2021 were collected retrospectively and randomly divided into training sets and validation sets. A total of 1 493 OSA patients with 27 variables were included. The least absolute shrinkage and selection operator（Lasso） logistic regression model was used to select potentially relevant features and establish a nomogram for OSA-related hypertension.The performance and clinical benefits of this nomogram were verified in terms of discrimination, calibration ability and clinical net benefit. Results:Multivariate logistic regression showed that body mass index（BMI）, family history of hypertension, lowest oxygen saturation（LSaO2）, age and cumulative percentage of total sleep time with oxygen saturation below 90% were independent risk factors for OSA-related hypertension. Lasso logistic regression identified BMI, family history of hypertension, LSaO2 and age as predictive factors for inclusion in the nomogram. The nomogram provided a favorable discrimination, with a C-indexes of 0.835（95% confidence interval[CI ]0.806-0.863） 0.865（95%CI 0.829-0.900） for the training and validation cohort, respectively, and well calibrated. The clinical decision curve analysis displayed that the nomogram was clinically useful. Conclusion:Compared with cumulative percentage of total sleep time with blood oxygen saturation below 90%, LSaO2 may have a greater impact on the incidence of OSA-related hypertension, and the effects of different times and degrees of hypoxia on OSA-related hypertension should be further explored in the future. Apnea hypopnea index involvement is weak in predicting OSA-related hypertension, and the blood oxygen index may be a better predictor variable. Furthermore, we established a risk prediction model for OSA-related hypertension patients using nomogram, and demonstrated that this prediction model was helpful to identify high-risk OSA-related hypertension patients. This model can provide early and individualized diagnosis and treatment plans, protect patients from the serious.
Humans ; Sleep Apnea, Obstructive/complications* ; Nomograms ; Hypertension/epidemiology* ; Male ; Female ; Risk Factors ; Middle Aged ; Retrospective Studies ; Polysomnography ; Logistic Models ; Body Mass Index ; Adult

Objective:To investigate the clinical features and outcomes of adolescence-onset methylmalonic acidemia (MMA) and explore preventive strategies.Methods:This was a retrospective case analysis of the phenotypes, genotypes and prognoses of adolescence-onset MMA patients. There were 55 patients diagnosed in Peking University First Hospital from January 2002 to June 2023, the data of symptoms, signs, laboratory results, gene variations, and outcomes was collected. The follow-ups were done through WeChat, telephone, or clinic visits every 3 to 6 months.Results:Among the 55 patients, 31 were males and 24 were females. The age of onset was 12 years old (range 10-18 years old). They visited clinics at Tanner stages 2 to 5 with typical secondary sexual characteristics. Nine cases (16%) were trigged by infection and 5 cases (9%) were triggered by insidious exercises. The period from onset to diagnosis was between 2 months and 6 years. Forty-five cases (82%) had neuropsychiatric symptoms as the main symptoms, followed by cardiovascular symptoms in 12 cases (22%), kidney damage in 7 cases (13%), and eye disease in 12 cases (22%). Fifty-four cases (98%) had the biochemical characteristics of methylmalonic acidemia combined with homocysteinemia, and 1 case (2%) had the isolated methylmalonic acidemia. Genetic diagnosis was obtained in 54 cases, with 20 variants identified in MMACHC gene and 2 in MMUT gene. In 53 children with MMACHC gene mutation,1 case had dual gene variants of PRDX1 and MMACHC, with 105 alleles. The top 5 frequent variants in MMACHC were c.482G>A in 39 alleles (37%), c.609G>A in 17 alleles (16%), c.658_660delAAG in 11 alleles (10%), c.80A>G in 10 alleles (10%), c.567dupT and c.394C>T both are 4 alleles (4%). All patients recovered using cobalamin, L-carnitine, betaine, and symptomatic therapy, and 54 patients (98%) returned to school or work.Conclusions:Patients with adolescence-onset MMA may triggered by fatigue or infection. The diagnosis is often delayed due to non-specific symptoms. Metabolic and genetic tests are crucial for a definite diagnosis. Treatment with cobalamin, L-carnitine, and betaine can effectively reverse the prognosis of MMA in adolescence-onset patients.

Objective To explore the value of machine learning(ML)models based on non-contrast CT(NCCT)radiomics features for predicting the severity of acute phase traumatic brain injury(TBI).Methods Totally 600 TBI patients were retrospectively collected as observation group,other 65 TBI patients were taken as external validation set,while 50 TBI patients were prospectively enrolled as prospective validation set.Patients in observation group were divided into high-risk subgroup(n=240)and low-risk subgroup(n=360)according to Glasgow outcome scale(GOS)at discharge.The severity of acute phase TBI in observation group was assessed by doctor A and B with the same criteria,then an artificial model was established based on clinical and NCCT data at the time of first diagnosis using logistic regression(LR)method for predicting the severity of acute phase TBI.Patients in observation group were divided into training set(n=420,including 168 in high-risk subgroup and 252 in low-risk subgroup)and test set(n=180,including 72 in high-risk subgroup and 108 in low-risk subgroup)at the ratio of 7∶3.Based on NCCT of training set,radiomics features were extracted and selected,and LR,support vector machine(SVM),random forest(RF)and K-nearest neighbor(KNN)were used to establish 4 ML models.The efficacies of the above models were validated in test set,external validation set(including 34 cases of high-risk and 31 cases of low-risk TBI)and prospective validation set(including 21 cases of high-risk and 29 cases of low-risk TBI),respectively.Results The area under the curve(AUC)of doctor A and B for evaluating the severity of acute phase TBI in observation group was 0.606 and 0.771,respectively,of artificial model was 0.824.Based on NCCT in training set,6 optimal radiomics features were selected to construct LR,SVM,RF and KNN ML models,with AUC of 0.983,0.971,0.970 and 0.984 in test set,respectively,while the AUC of artificial model was 0.708.The AUC of LR,SVM,RF,KNN ML models and artificial model in external validation set was 0.879,0.881,0.984,0.863 and 0.733,while in prospective validation set was 0.984,0.873,0.982,0.897 and 0.704,respectively.Conclusion ML models based on CT radiomics could effectively predict the severity of acute phase TBI.

Objective This study explored the effects of Epimedium koreanum Nakai(EK)on liver function in normal,kidney yang deficiency(KYANGDS),and kidney yin deficiency(KYINDS)rats based on the theory of"You Gu Wu Yun."The study also investigated the connection between EK-induced liver injury and symptoms.Methods Seventy-two male SD rats were divided into normal,KYANGDS,and KYINDS groups using the random number table method.The KYANGDS model was established through intramuscular injection of 20 mg/kg of hydrocortisone,whereas the KYINDS model was established through daily gavage of 160 mg/kg of thyroid tablet suspension for 14 consecutive days.After successful modeling,the rats were divided into the normal,EK low-dose,EK high-dose,KYANGDS,KYANGDS+EK low-dose,KYANGDS+EK high-dose,KYINDS,KYINDS+EK low-dose,and KYINDS+EK high-dose groups using the random number table method.Animals in the drug groups were administered low(0.26 g/kg)and high(0.77 g/kg)EK extract doses through continuous gavage.The other groups received drinking water once a day for 28 consecutive days.Changes in body mass were monitored during the administration period,and serum alkaline phosphatase(ALP),alanine transaminase(ALT),aspartate transaminase(AST),direct bilirubin,indirect bilirubin(IBil),and total bilirubin(TBil)were measured at the end of administration using biochemical analyzers.The liver weight,visceral body ratio,and visceral brain ratio were measured.Hematoxylin and eosin staining were performed to observe the pathological changes in the liver.Results Compared with the normal group,the EK high-dose group showed a decrease in body weight on the 21st day during the drug administration period and an increase in IBil(P<0.05);the KYANGDS group had lower body weight at each measurement time point from the third to the 28th day,higher ALP,and lower liver weight(P<0.05).Compared with the KYANGDS group,the KYANGDS+EK high-dose group had decreased ALP levels(P<0.05).The pathological damage of liver tissue in each KYANGDS administration group improved,the presence of fat vacuoles were reduced,and pathological scores show a decreasing trend.Compared with the KYINDS group,KYINDS+EK high-dose group exhibited a higher IBil level and a lower visceral brain ratio(P<0.05).Conclusion EK has a small effect on the liver function of rats with KYANGDS within the dose range;however,it has a specific hepatogenic impact on normal and KYINDS rats,and EK-induced liver injury and the symptoms may be associated with each other.