Existentialist philosophy focuses on human existence， explores subjectivity and uniqueness， and highlights the value of human existence. Advanced cancer patients generally suffer immense existential distress， each with their own modes of appearance and numerous possibilities. From the perspective of existentialist philosophy， targeting the group of advanced cancer patients， this paper clarified the analysis of “Dasein” （holistic phenomenon and modes of appearance）. Through recognition （achieving to deepen the inner scope of the subject and object） and comprehension （seeking appropriate “self-knowledge”）， it introduced the planning of variable possibilities. Subsequently， based on the patients’ pre-possessing， pre-seeing， and pre-grasping， explanatory activities were carried out to complete the “self-formation” in the planning. Ultimately， it facilitated the realization of existential meaning in the presupposition and proposed actionable clinical practices （meaning therapy and emotional touch therapy） to alleviate the existential distress of advanced cancer patients.

Alzheimer's disease (AD) is the major form of dementia in the elderly and is closely related to the toxic effects of microglia sustained activation. In AD, sustained microglial activation triggers impaired synaptic pruning, neuroinflammation, neurotoxicity, and cognitive deficits. Accumulating evidence has demonstrated that aberrant expression of deubiquitinating enzymes is associated with regulating microglia function. Here, we use RNA sequencing to identify a deubiquitinase YOD1 as a regulator of microglial function and AD pathology. Further study showed that YOD1 knockout significantly improved the migration, phagocytosis, and inflammatory response of microglia, thereby improving the cognitive impairment of AD model mice. Through LC-MS/MS analysis combined with Co-IP, we found that Myosin heavy chain 9 (MYH9), a key regulator maintaining microglia homeostasis, is an interacting protein of YOD1. Mechanistically, YOD1 binds to MYH9 and maintains its stability by removing the K48 ubiquitin chain from MYH9, thereby mediating the microglia polarization signaling pathway to mediate microglia homeostasis. Taken together, our study reveals a specific role of microglial YOD1 in mediating microglia homeostasis and AD pathology, which provides a potential strategy for targeting microglia to treat AD.

Objective To observe the value of subchondral bone(SB)intravoxel incoherent motion diffusion weighted imaging(IVIM-DWI)for quantitatively evaluating knee joint cartilage degeneration.Methods Totally 125 patients with knee cartilage degeneration were prospectively enrolled and divided into mild group(n=65,Outerbridge grades Ⅰ-Ⅱ)and moderate-severe group(n=60,Outerbridge grades Ⅲ-Ⅳ)based on arthroscopic findings.Additionally,30 healthy young subjects were recruited as control group.The apparent diffusion coefficient(ADC),true diffusion coefficient(D),pseudo diffusion coefficient(D*)and perfusion fraction(f)values of medial condyle of SB of femur,lateral condyle of femur,medial tibial plateau and lateral tibial plateau,as well as the mean values of each parameter of the above 4 regions were obtained based on knee joint IVIM-DWI and compared within and among groups.Spearman correlation analysis was used to observe the correlations between quantitative parameters and Outerbridge grading.The area under the receiver operating characteristic curve(AUC)was calculated to evaluate the efficacy of each quantitative parameter alone and their combination for assessing knee cartilage degeneration.Results Significant differences of D*values were found among different parts of knee joint SB in moderate-severe group,also of D value,D* value and f value among different parts of knee joint SB in mild group(all P＜0.05).Significant differences of IVIM-DWI parameter were found among different parts of knee joint SB in control group(all P＜0.05).ADC value of knee joint SB in moderate-severe group,mild group and control group decreased successively,while D value increased successively(all P＜0.001).D* values of knee joint SB in moderate-severe group was higher than that in mild group and control group(both P＜0.05).No significant difference of f value of knee joint SB was found between moderate-severe group and mild group(P＞0.05),while both the latter two were higher than that in control group(both P＜0.05).ADC value,D value and f value of knee joint SB were positively correlated(rs=0.671,0.634,0.416,all P＜0.01),while D* value of knee joint SB was negatively correlated with Outerbridge grading(rs=-0.729,P＜0.01).AUC of combination of parameters for distinguishing mild group from control group,and mild group from moderate-severe group was 0.859 and 0.808,respectively.Conclusion SB IVIM-DWI could be used for quantitatively evaluation of knee cartilage degeneration.

Objective To observe the value of subchondral bone(SB)intravoxel incoherent motion diffusion weighted imaging(IVIM-DWI)for quantitatively evaluating knee joint cartilage degeneration.Methods Totally 125 patients with knee cartilage degeneration were prospectively enrolled and divided into mild group(n=65,Outerbridge grades Ⅰ-Ⅱ)and moderate-severe group(n=60,Outerbridge grades Ⅲ-Ⅳ)based on arthroscopic findings.Additionally,30 healthy young subjects were recruited as control group.The apparent diffusion coefficient(ADC),true diffusion coefficient(D),pseudo diffusion coefficient(D*)and perfusion fraction(f)values of medial condyle of SB of femur,lateral condyle of femur,medial tibial plateau and lateral tibial plateau,as well as the mean values of each parameter of the above 4 regions were obtained based on knee joint IVIM-DWI and compared within and among groups.Spearman correlation analysis was used to observe the correlations between quantitative parameters and Outerbridge grading.The area under the receiver operating characteristic curve(AUC)was calculated to evaluate the efficacy of each quantitative parameter alone and their combination for assessing knee cartilage degeneration.Results Significant differences of D*values were found among different parts of knee joint SB in moderate-severe group,also of D value,D* value and f value among different parts of knee joint SB in mild group(all P＜0.05).Significant differences of IVIM-DWI parameter were found among different parts of knee joint SB in control group(all P＜0.05).ADC value of knee joint SB in moderate-severe group,mild group and control group decreased successively,while D value increased successively(all P＜0.001).D* values of knee joint SB in moderate-severe group was higher than that in mild group and control group(both P＜0.05).No significant difference of f value of knee joint SB was found between moderate-severe group and mild group(P＞0.05),while both the latter two were higher than that in control group(both P＜0.05).ADC value,D value and f value of knee joint SB were positively correlated(rs=0.671,0.634,0.416,all P＜0.01),while D* value of knee joint SB was negatively correlated with Outerbridge grading(rs=-0.729,P＜0.01).AUC of combination of parameters for distinguishing mild group from control group,and mild group from moderate-severe group was 0.859 and 0.808,respectively.Conclusion SB IVIM-DWI could be used for quantitatively evaluation of knee cartilage degeneration.

ObjectiveThis paper aims to analyze the clinical characteristics and medication rationality of liver injury related to Epimedii Folium preparation （EP） and explore the possible risk factors of liver injury， so as to provide a reference for the safe clinical application of Epimedii Folium （EF）. MethodA retrospective analysis was conducted on liver injury cases related to EP from 2012 to 2016. ResultThe number of reported liver injury cases and the proportion of severe cases related to the use of EP show an increasing trend， indicating the objective existence of liver injury caused by EP. There are more cases of liver injury related to EP in women than in men， with an onset age range of 15-91 years old and a median onset age of 60 years old （median onset ages for men and women are 59 and 60 years old， respectively）. The time span from taking EP alone to the occurrence of liver injury is 1-386 days， with a median of 38 days. The time span from taking both EP and Western medicine to the occurrence of liver injury is 1-794 days， with a median of 34 days. EF-related liver injury preparations are mostly composed of traditional Chinese medicines that promote immunity and tonify the liver and kidney， indicating that immune stress in the body may be the mechanism of liver injury caused by the use of EP alone or in combination. There is no increasing trend of toxicity with time or dose in the liver injury caused by EP. By further exploring its risk factors， it is found that patients have unreasonable medication methods such as excessive dosage， repeated use， and multi-drug combination， which may also be one of the important risk factors for EF-related liver injury. ConclusionEP has a certain risk of liver injury and should be emphasized in clinical diagnosis and treatment. Immune stress may be the mechanism of liver injury caused by EP， and in clinical use， it is necessary to be vigilant about the risk of liver injury caused by unreasonable use and combined use with Western medicine.

BACKGROUND:After the internal fixation of cannulated screws in femoral neck fractures,because the affected limb is often unable to bear weight in the short term and the implants with high stiffness have a stress shielding effect on the fracture end,it is easy to cause osteoporosis of the affected limb and changes in the biomechanical distribution of the proximal femur,the incidence of osteonecrosis of the femoral head is high after surgery.At present,few studies have been conducted on the biomechanical effects of osteoporosis at the proximal end of the femur occurring after femoral neck fracture surgery on femoral neck fracture treated with cannulated screws. OBJECTIVE:Using finite element analysis,to investigate the biomechanical effects of osteoporosis occurring after femoral neck fracture surgery on femoral neck fracture treated with cannulated screws and explore the role of biomechanical factors in osteonecrosis of the femoral head. METHODS:Based on the obtained CT scan data of the femur in a patient with a femoral neck fracture,a proximal femoral model for internal fixation for femoral neck fracture was established by Mimics 19.0,3-Matic,UG 11.0,Hypermesh 14.0,and Abaqus software.One finite element model of the proximal femur without osteoporosis and three finite element models of the proximal femur with osteoporosis were analyzed using Abaqus software.The stress,contact pressure,displacement peak and cloud map under different components of the four models were measured and analyzed,and the internal stress changes and distribution of the femoral head were compared and analyzed. RESULTS AND CONCLUSION:The stresses and contact pressures of the femoral head and lower anterior cannulated screws varied more with the degree of osteoporosis.The peak displacement of the four models increased slowly with the degree of osteoporosis.By one-way analysis of variance,there was no significant effect of the degree of osteoporosis on the peak stress,contact pressure,and displacement of the different components.The internal stress distribution of the femoral head changed with the degree of osteoporosis.Changes in the biomechanical environment of the proximal femur have an important impact on osteonecrosis of the femoral head.

BackgroundAlcohol use disorder （AUD） is a common chronic and relapsing psychiatric disorders. Identifying severe AUD early and intervening promptly is crucial to prevent irreversible harm. Currently， the assessment of AUD severity primarily relies on psychiatric examination by clinicians， and there is limited research on the factors influencing AUD severity and the development of prediction models. ObjectiveTo analyze the factors influencing AUD severity， and construct a risk prediction model to aid in the assessment of disease progression in AUD patients. MethodsA retrospective analysis was conducted on 1 358 first-time hospitalized patients admitted to Nanning Fifth People's Hospital from January 1， 2017 to December 31， 2022. These patients met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） criteria for AUD. Basic patient data was collected， and the patients were divided into two groups based on disease severity： mild-moderate group （n=330） and severe group （n=1 028）. The patients were randomly divided into training and test sets in a 7∶3 ratio. A Logistic regression model was constructed in the training set， and the predictive ability of the model for disease severity was evaluated using the receiver operating characteristic （ROC） curve in the test set. ResultsCompared with the mild-moderate group， the severe group had a higher proportion of patients living in urban areas （χ²=7.804）， were farmers （χ²=17.991）， had a higher frequency of alcohol consumption （more than 1 to 2 drinks/day） （χ²=35.267）， had a higher age at first drinking （t=-3.858）， had a greater number of comorbid somatic disorders （Z=-22.782）， and had higher proportions of γ-Glutamyl transpeptidase （χ²=259.940） and total bilirubin abnormalities （χ²=148.552） （P<0.01）. Logistic analysis conducted in the training set showed that being a farmer （OR=2.024， 95% CI： 1.352~3.029）， having an older age at first drinking （OR=1.075， 95% CI： 1.025~1.129）， drinking outside of mealtimes （OR=3.988， 95% CI： 2.408~6.606）， having total bilirubin abnormalities （OR=1.034， 95% CI： 1.000~1.069）， and having more comorbid somatic diseases （OR=4.386， 95% CI： 2.636~7.298） were identified as risk factors for disease severity in AUD patients. The area under curve （AUC） for this model in the test set was 0.906. ConclusionIn psychiatric hospitals， being a farmer， having an older age at first drinking， drinking outside of mealtimes， having abnormal total bilirubin levels， and having comorbidities with somatic illnesses may be risk factors for severe AUD.

The uncertainty of prognosis for chronic diseases is a persistent problem in the medical community.Mechanical attribution such as questioning disease （stubbornness）， equipment （medical and nursing level）， and patients （low compliance）， it is believed that there is a bias in analyzing the deep causes of low compliance on prognosis after breakthrough progress in the treatment of this type of diseases.Taking hepatitis B patients from the perspective of hermeneutics as an example， this paper clarified the reasons for the non-identity of doctor-patient cognition on the problem of doctor-patient communication in health education.Meanwhile， it was found that there is a pre-structure of heterogeneous experience in the ontology of understanding between doctors and patients， which presents inherent limitations， openness， generativity， and external micro power penetration in their history of dialogue logic.Finally， epistemologically， this paper clarified the essence such as the history of identity effect was pointed by the reconstruction of heterogeneous “meaning ideals” of doctors and patients， the understanding of certainty and elimination of subjectivity was guided by meaning ideals under the fusion of horizons， as well as good personalized prognostic behavioral literacy was led by cultivations of embodied practice.

Objective To evaluate the performance of ChatGPT-4.0 and ERNIE Bot-4.0 in the field of laboratory medicine,and ex-plore their application potential and challenges in this professional domain.Methods Using the national clinical medical laboratory technology(intermediate)examination questions as a benchmark,we compared the performance of the two models in mastering labora-tory medicine knowledge and answering consistency.We also and assessed the models'ability in interpreting test results and assisting diagnosis through 30 laboratory medicine cases.Results In the clinical medical examination technology test,both models passed the 60％qualification threshold.ChatGPT-4.0 was superior to ERNIE Bot-4.0 in terms of answering speed and consistency,but its answer-ing accuracy was significantly lower than that of ERNIE Bot-4.0(73.25％vs 80.75％).ERNIE Bot-4.0's accuracy rate was higher than the average accuracy rate of clinical aboratory personnel in this examination(78.03％).In the accuracy analysis of different question types,both performed worst in experimental technology questions(ERNIE Bot-4.0:66.32％,ChatGPT-4.0:60.53％)and best in bas-ic medical knowledge questions(both scoring 86.00％).In the case analysis test,ERNIE Bot-4.0 outperformed ChatGPT-4.0 in all cat-egories.Both models performed well in routine case analysis but made errors in complex case analysis.Conclusion In the field of la-boratory medicine,both large language models have shown certain application potential,especially in a Chinese context,where ERNIE Bot-4.0 significantly outperforms ChatGPT-4.0 in terms of answering accuracy and case analysis ability,indicating its relative advantage in domestic applications.However,both models still need improvement in experimental technical knowledge,complex case analysis ca-pabilities,and the accuracy and consistency of result output.At the current stage,there are still certain risks in directly applying such general large language models to clinical test result interpretation and assisted diagnosis,which provides a new research direction for the interpretation of test reports.

Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.