BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

To summarise the clinical experience of Professor TONG Xiaolin in treating prediabetes combined with overweight or obesity using the method of relieving depression and reducing turbidity. It is believed that prediabetes belongs to the category of "spleen-heat syndrome" in traditional Chinese medicine， and its core pathogenesis is center fullness with internal heat， while obesity is the initiating factor for exacerbating center fullness and internal heat， therefore， it is of great significance to reduce the risk of diabetes by interrupting the transformation between overweight， obesity and glucose metabolism abnormality. It is proposed that the main pathogenesis of prediabetes combined with overweight or obesity is qi depression and turbidity obstruction in middle jiao， with qi depression as the root and turbidity obstruction as the cause， forming a treatment idea with the method of relieving depression and reducing turbidity as the core. In clinic， Dahuang Huanglian Xiexin Decoction （大黄黄连泻心汤） is used as the basic prescription， with a primary focus on directing the turbid downward， supplemented by regulating qi， which embodies the concept of "promoting movement through descent， then figuring out the root of spleen-heat syndrome. Furthermore， the treatment is flexibly modified based on the patient's deficiency-excess syndrome to ensure individualized therapy.

OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

Objective To compare the ultrasound signs of symptomatic joint lesions in rheumatoid arthritis (RA) and gouty arthritis (GA), musculoskeletal ultrasound (MSUS) was utilized.Methods A retrospective analysis was performed for 85 hospitalized patients with RA and 55 hospitalized patients with GA in the same period, and the differences in general data, diseased joints and ultrasound signs between the two groups were compared.Re-sults The gender, age and diseased joints of the two groups were statistically significant (all P<0.05).The de-tection rate of knee joint lesions was the highest;the RA group had high sensitivity, high specificity of meniscal in-jury, and high diagnostic efficiency of bone erosion, while the diagnostic performance of the three combined ultra-sound signs of punctate strong echo, double track sign and tophi in the GA group was higher than that of any indi-vidual diagnosis, and the sensitivity and specificity were also higher.The course of disease in the RA group was positively correlated with bone erosion (P<0.05) , and the course in the GA group was positively correlated with tophi (P<0.05).Conclusion The ultrasound signs of RA and GA are different, and MSUS has good value in the diagnosis and differential diagnosis of the two.

Narrative medicine emphasizes the cultivation of narrative ability,providing an important pathway to promote clinical discipline teaching and guide the transformation of medical students into the role of doctors.Based on the theory of narrative medicine,the Warm Medicine course is designed with a two-layer advanced practical teaching system covering the entire life cycle of"birth,aging,illness,and death".It can train the ability of medical students to absorb,interpret,and respond to patients'stories and difficulties in actual medical scenarios.Taking the"birth"theme practice as an example,the paper presentes the specific implementation and development of the course.The practical teaching of the"birth"theme enhanced students'understanding of medical themes and their perception of the essence of life,as well as promoting the establishment of the subjectivity of doctor-patient relationships and the formation of medical students'holistic medical diagnosis and treatment thinking.

Objective:To estimate the longitudinal association between serum lipid biomarkers and the development of cardiometabolic multimorbidity (CMM) in middle-aged and old adults (≥45) in China, while examining effect differences among degree of dyslipidemia aggregation and various dyslipidemia combination patterns.Methods:Based on data from the China Health and Retirement Longitudinal Study (2011-2018), logistic regression analysis was used to evaluate the associations of TC, LDL-C, HDL-C, TG (4 forms of dyslipidemias), degree and pattern of dyslipidemia combination with CMM. We also used restricted cubic splines to show the dose-response associations between 4 lipid biomarkers and CMM development.Results:Of the 6 522 participants included, 590 (9.05%) developed CMM. After adjusting for covariates, all 4 forms of dyslipidemias were positively associated with CMM development (high TC: OR=1.33, 95% CI: 1.03-1.71; high LDL-C: OR=1.35, 95% CI: 1.05-1.75; low HDL-C: OR=1.45, 95% CI: 1.19-1.77; high TG: OR=1.50, 95% CI: 1.20-1.88). The U-shaped dose-response relationship between LDL-C and CMM development was observed ( P for non-linear =0.022). The odds of CMM increased with the increase of dyslipidemias forms, which was highest in those with ≥3 forms of dyslipidemias ( OR=2.02, 95% CI: 1.33-3.06). In various dyslipidemia form combinations, the possibility of CMM development was highest in those with high TC, high LDL-C and low HDL-C ( OR=3.54, 95% CI: 1.40-8.67). High TC and high LDL-C were significantly associated with CMM development in people without cardiometabolic diseases. Low HDL-C was positively associated with diabetes and CMM development in participants without cardiometabolic diseases, cardiovascular disease (CVD) followed by diabetes, and diabetes followed by CVD. High TG was positively associated with diabetes and CMM in participants without cardiometabolic diseases, and diabetes followed by CVD. Conclusions:A total of 4 forms of dyslipidemia were all independently associated with CMM development in middle-aged and old adults in China. The dose-response relationship between LDL-C level and CMM development was U-shaped. The aggregation of 4 forms of dyslipidemia were associated with the development of CMM. Low HDL-C and high TG were significantly associated with multiple patterns of cardiometabolic diseases development.

Objective To improve the efficiency of induced differentiation of primitive neural epithelial cells derived from human induced pluripotent stem cells(hiPSCs-NECs)into functional midbrain dopaminergic progenitor cells(DAPs).Methods HiPSCs were cultured in mTeSRTM medium containing DMH1(10 μmol/L),SB431542(10 μmol/L),SHH(200 ng/mL),FGF8(100 ng/mL),purmorphamine(2 μmol/L),CHIR99021(3 μmol/L),and N2(1%)for 12 days to induce their differentiation into primitive neuroepithelial cells(NECs).The hiPSCs-NECs were digested with collagenase IV and then cultured in neurobasal medium supplemented with 1%N2,2%B27-A,BDNF(10 ng/mL),GDNF(10 ng/mL),AA,TGF-β,cAMP,and 1%GlutaMax in the presence of different concentrations of Rho kinase inhibitor Y27632,and the culture medium was changed the next day to remove Y27632.Continuous induction was performed until day 28 to obtain DAPs.Results Human iPSCs expressed the pluripotency markers OCT4,SOX2,Nanog,and SSEA1 and were positive for alkaline phosphatase staining.The hiPSCs-NECs were obtained on day 13 in the form of neural rosettes expressing neuroepithelial markers SOX2,nestin,and PAX6.In digested hiPSCs-NECs,the addition of 5 μmol/L Y27632 significantly promoted survival of the adherent cells,increased cell viability and the proportion of S-phase cells(P<0.01),and reduced the rate of apoptotic cells(P<0.05).On day 28 of induction,the obtained cells highly expressed the specific markers of DAPS(TH,FOXA2,NURR1,and Tuj1).Conclusion Treatment with Y27632(5 μmol/L)for 24 h significantly promotes the survival of human iPSCs-NECs during their differentiation into DPAs without affecting the cell differentiation,which indirectly enhances the efficiency of cell differentiation.

Objective To improve the efficiency of induced differentiation of primitive neural epithelial cells derived from human induced pluripotent stem cells(hiPSCs-NECs)into functional midbrain dopaminergic progenitor cells(DAPs).Methods HiPSCs were cultured in mTeSRTM medium containing DMH1(10 μmol/L),SB431542(10 μmol/L),SHH(200 ng/mL),FGF8(100 ng/mL),purmorphamine(2 μmol/L),CHIR99021(3 μmol/L),and N2(1%)for 12 days to induce their differentiation into primitive neuroepithelial cells(NECs).The hiPSCs-NECs were digested with collagenase IV and then cultured in neurobasal medium supplemented with 1%N2,2%B27-A,BDNF(10 ng/mL),GDNF(10 ng/mL),AA,TGF-β,cAMP,and 1%GlutaMax in the presence of different concentrations of Rho kinase inhibitor Y27632,and the culture medium was changed the next day to remove Y27632.Continuous induction was performed until day 28 to obtain DAPs.Results Human iPSCs expressed the pluripotency markers OCT4,SOX2,Nanog,and SSEA1 and were positive for alkaline phosphatase staining.The hiPSCs-NECs were obtained on day 13 in the form of neural rosettes expressing neuroepithelial markers SOX2,nestin,and PAX6.In digested hiPSCs-NECs,the addition of 5 μmol/L Y27632 significantly promoted survival of the adherent cells,increased cell viability and the proportion of S-phase cells(P<0.01),and reduced the rate of apoptotic cells(P<0.05).On day 28 of induction,the obtained cells highly expressed the specific markers of DAPS(TH,FOXA2,NURR1,and Tuj1).Conclusion Treatment with Y27632(5 μmol/L)for 24 h significantly promotes the survival of human iPSCs-NECs during their differentiation into DPAs without affecting the cell differentiation,which indirectly enhances the efficiency of cell differentiation.

Objective:To investigate the etiological distribution of hydronephrosis caused by upper uri-nary tract obstruction in adult patients and to improve the diagnostic accuracy for this condition.Me-thods:The clinical information of adult patients with newly diagnosed hydronephrosis in Upper Urinary Tract Repair Outpatient Clinic of Peking University First Hospital from May 2020 to May 2021 were pro-spectively and continuously collected.Patients with ureteral calculi or upper urinary tract tumor were ex-cluded.A total of 767 patients were involved.The underlying causes of upper urinary tract obstruction were identified by senior urological surgeons according to symptoms,medical history,physical examina-tion,and a range of diagnostic imaging techniques including ultrasound,computed tomography(CT),magnetic resonance imaging(MRI),retrograde pyelography,antegrade pyelography,radionuclide reno-gram and ureteroscopy.Results:Among the 767 patients,359(46.8％)were male and 408(53.2％)were female.The median age of these patients was 37 years(range,14-84 years).Hydronephrosis was observed at left-sided in 357 cases(46.6％),right-sided in 251 cases(32.7％),and bilateral in 159 cases(20.7％).The causes of hydronephrosis were classified as follows:(1)Non-iatrogenic factors were found in 464 cases(60.5％).These included urinary malformations in 355 cases(76.5％),infec-tion in 29 cases(6.3％),pelvic lipomatosis and/or cystitis glandularis in 23 cases(5.0％),ureteral en-dometriosis in 18 cases(3.9％),retroperitoneal fibrosis in 15 cases(3.2％),trauma in 7 cases(1.5％)and other non-iatrogenic factors in 12 cases(2.6％).Some of these patients had multiple non-iatrogenic causes.Among the 355 cases with urinary system malformations,252 cases(71.0％)had ureteropelvic junction obstruction.(2)Iatrogenic ureteral injuries accounted for 210 cases(27.4％),including 112 cases(53.3％)of urological surgical injuries,51 cases(24.3％)of radiotherapy for malignant tumor re-lated injuries,34 cases(16.2％)of gynecological and obstetrical surgical injuries,and 13 cases(6.2％)of general surgical injuries.(3)The cause of hydronephrosis remained unknown in 93 cases(12.1％).Conclusion:Hydronephrosis in adults due to upper urinary tract obstruction has a diverse range of cau-ses,with urinary malformations and iatrogenic ureteral injuries being significant contributors.Urological surgeon involved in upper urinary tract reconstruction should be familiar with these potential causes to fa-cilitate accurate diagnosis and effective treatment.

Objective To observe the value of 3D Res2Net deep learning model for predicting volume doubling time(VDT)of solid pulmonary nodule.Methods Chest CT data of 734 patients with solid pulmonary nodules were retrospectively analyzed.The patients were divided into progressive group(n=218)and non-progressive group(n=516)according to whether lung nodule volume increased by ≥25％during follow-up or not,also assigned into training set(n=515)and validation set(n=219)at a ratio of 7∶3.Then a clinical model was constructed based on clinical factors being significantly different between groups,CT features model was constructed based on features of nodules on 2D CT images using convolutional neural network,and 3D Res2Net model was constructed based on Res2Net network using 3D CT images as input.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated.Taken actual VDT as gold standard,the efficacy of the above models for predicting solid pulmonary nodule'VDT≤400 days were evaluated.Results No significant difference of predicting efficacy for solid pulmonary nodule'VDT≤400 days was found among clinical model,CT feature model and 3D Res2Net model,the AUC of which was 0.689,0.698 and 0.734 in training set,0.692,0.714 and 0.721 in validation set,respectively.3D Res2Net model needed 5-7 s to predict VDT of solid pulmonary nodules,with an average time of(5.92±1.08)s.Conclusion 3D Res2Net model could be used to predict VDT of solid pulmonary nodules,which might obviously reduce manual interpreting time.