Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective To investigate the clinical efficacy of minimally invasive mitral valvuloplasty (MVP) in the treatment of infective endocarditis (IE) with mitral regurgitation (MR). Methods A retrospective analysis was conducted on the clinical data of patients who underwent MVP for IE with MR at the Department of Cardiovascular Surgery in Zhongshan Hospital, Fudan University from 2016 to 2020. Patients were divided into two groups based on the surgical incision: those with a right mini-thoracotomy were classified as a minimally invasive surgery (MIS) group, and those with a median sternotomy (MS) were classified as an MS group. All patients had isolated mitral valve involvement. Perioperative data were analyzed, and mid- to long-term outcomes were compared between the two groups. Results A total of 86 patients were included, with 40 in the MIS group [22 males and 18 females, with a mean age of (39.78±15.36) years ranging from 14 to 75 years] and 46 in the MS group [27 males and 19 females, with a mean age of (49.94±16.13) years ranging from 14 to 71 years]. The patients in the MIS group were relatively younger (P=0.004) with better preoperative cardiac function (P=0.004). There was no statistical difference in preoperative fever, gender, or comorbidities between the two groups (P>0.05). The MIS group had shorter postoperative ventilation times, less postoperative 24-hour drainage, less blood transfusion, and shorter total hospital stays compared to the MS group (P＜0.05). There was no statistical difference in cardiopulmonary bypass times or ICU stays between the two groups (P>0.05). The perioperative complication rates and mortality rates were not significantly different between the two groups (P>0.05). Follow-up was conducted for 11-92 months, with a mean duration of (49±19) months and an overall follow-up rate of 91.9%. During the follow-up, 3 patients in each group required reoperation for mitral valve issues, with no statistical difference in incidence (7.5% vs. 6.5%, P=0.691). There were no warfarin-related complications, recurrences, or deaths in either group during follow-up. Multivariate regression analysis identified age, preoperative cardiac function, and surgeon experience as influencing factors for the choice of surgical approach. Conclusion Minimally invasive MVP for IE with MR is relatively safe in the perioperative period and shows significant efficacy, with clear mid- to long-term outcomes. It is recommended for younger patients with better preoperative cardiac function and when performed by surgeons with extensive experience in mitral valvuloplasty.

Objective:To investigate the infection rate of cytomegalovirus (CMV) and Epstein-Barr virus (EBV) in patients with severe aplastic anemia (SAA) after intensive immunosuppressive therapy in combination with a thrombopoietin receptor agonist (lST+TPO-RA) as well as assess the clinical impact of treatment.Methods:A retrospective, case series study was undertaken involving patients with SAA who were admitted to Soochow Hopes Hematonosis Hospital, The First Affiliated Hospital of Soochow University, and Zhengzhou Third People′s Hospital from June 2022 to February 2025. Thirty patients with complete CMV and EBV monitoring data after IST+TPO-RA treatment were enrolled. The first activation time of CMV and EBV, the maximum viral load, the first negative conversion time, and blood routine tests within 3 days before CMV and EBV positivity, during the positive period, and within 3 days after turning negative were recorded. The patients were followed up for 9 months after the completion of IST. One-way analysis of variance was used to compare the changes of blood routine before and after virus positivity and after turning negative. The χ2 test was used to compare the viral infection rate and the therapeutic effect of IST between the two groups. Results:The 30 SAA patients comprised 15 males and 15 females with an average age of (40.0±16.9) years. Of the 30 patients, 18 (60.0%) were infected with CMV and 6 (20.0%) with EBV. Among them, 17 cases received rabbit anti-human thymocyte immunoglobulin (r-ATG) treatment (r-ATG group), 13 cases received porcine anti-human lymphocyte immunoglobulin (p-ALG) treatment (p-ALG group). The CMV infection rate was significantly higher in the r-ATG group than in the p-ALG group (15/17 vs. 3/13, χ2=13.03, P<0.001); meanwhile, the rate of EBV infection was only slightly higher in the r-ATG group than in the p-ALG group, and the difference did not reach statistical significance (5/17 vs. 1/13, χ2=2.17, P=0.196). In patients infected with CMV, neutrophil, hemoglobin, and platelet counts were significantly decreased during the infection phase, followed by significant increases after CMV clearance ( F=14.48, 11.38, 4.73; all P<0.05). No significant differences in treatment efficacy were found between the r-ATG and p-ALG groups at 3, 6, and 9 months post-IST (all P>0.05). Conclusions:This preliminary study showed that the incidence of CMV and EBV infection in patients with SAA increased after IST, with CMV infections occurring significantly more frequently than EBV infections. The CMV infection rate was significantly higher in patients treated with r-ATG than in those receiving p-ALG. CMV infection was associated with notable alterations in hematological parameters, highlighting the need for close clinical monitoring.

Objective:To explore the current research status, hotspots, and trends of self-advocacy among patients with chronic diseases, and to provide a reference for conducting research on self-advocacy in chronic diseases.Methods:A computer-based search was conducted in the China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, and the Web of Science Core Collection for literature related to self-advocacy among patients with chronic diseases, with the time frame from database inception to October 1, 2024. The CiteSpace 6.3.R1 software was used to perform visual analysis on publication volume, countries, institutions, authors, keywords, and citation status.Results:A total of 721 articles were included in the study. The country with the largest number of publications related to self-advocacy among patients with chronic diseases was the United States. Authors and journals were mainly from the fields of psychology and sociology. Research hotspots mainly included women, cancer, breast cancer, quality of life (health-related quality of life), cancer screening, and individual experiences. Future research trends are expected to focus on influencing factors and theoretical research, impacts on medical decision-making, psychological and social support, as well as the development of scales and assessment tools of self-advocacy.Conclusions:Research on self-advocacy in China started relatively late. It is suggested that in the future, domestic scholars conduct multi-center and large-sample studies on self-advocacy among populations in different regions and with various types of chronic diseases.

Objective:To explore the current research status, hotspots, and trends of self-advocacy among patients with chronic diseases, and to provide a reference for conducting research on self-advocacy in chronic diseases.Methods:A computer-based search was conducted in the China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, and the Web of Science Core Collection for literature related to self-advocacy among patients with chronic diseases, with the time frame from database inception to October 1, 2024. The CiteSpace 6.3.R1 software was used to perform visual analysis on publication volume, countries, institutions, authors, keywords, and citation status.Results:A total of 721 articles were included in the study. The country with the largest number of publications related to self-advocacy among patients with chronic diseases was the United States. Authors and journals were mainly from the fields of psychology and sociology. Research hotspots mainly included women, cancer, breast cancer, quality of life (health-related quality of life), cancer screening, and individual experiences. Future research trends are expected to focus on influencing factors and theoretical research, impacts on medical decision-making, psychological and social support, as well as the development of scales and assessment tools of self-advocacy.Conclusions:Research on self-advocacy in China started relatively late. It is suggested that in the future, domestic scholars conduct multi-center and large-sample studies on self-advocacy among populations in different regions and with various types of chronic diseases.

Objective To explore the value of neutrophil extracellular trapping nets(neutrophil extracellular traps,NETs)in the diagnosis and monitoring of acute ischemic stroke(acute ischemic stroke,AIS).Methods From June 2023 to February 2024,63 patients newly diagnosed with AIS at the Ganmei Hospital Affiliated with Kunming Medical University were selected as the experimental group,and 58 non-AIS individuals matched in gender,age,and other characteristics were selected as the control group.The NETs levels of patients in the experimental group were detected before and 7-10 days after treatment,and general clinical data and related laboratory results were statistically analyzed.Results The experimental group showed significantly higher levels of NEUT,LYMPH,MONO,EO,FDP,D-dimer,and NETs compared to the control group(P<0.05).The NETs levels before treatment were significantly higher than those at 7～10 days after treatment and in the control group(P<0.05).The NETs levels 7～10 days after treatment were significantly higher than those in the control group(P<0.05).NEUT,MONO,FDP,D-dimer,and NIHSS scores were positively correlated with the pre-treatment NETs levels(P<0.05).Elevated serum NETs levels were associated with AIS risk factors(P<0.05).The combined diagnostic value of NEUT,D-dimer,and NETs for AIS was superior to other indicators.Conclusion NETs are highly expressed in the serum of patients with acute ischemic stroke,and serum NETs have certain value in the auxiliary diagnosis and monitoring of acute ischemic stroke.

Objective To analyze the differences of brain activity between first-episode untreated depressive patients with and without suicidal ideation(SI),and its correlations with clinical characteristics.Methods A total of 40 major depressive disorder(MDD)patients with SI(MDD+SI group),40 patients without SI MDD(MDD+NSI group),and 40 healthy controls(HC)(HC group)were enrolled.The 17-item Hamilton depression scale(HAMD-17)and Beck scale for suicide ideation(BSI)were used to assess the severity of depression and SI,respectively.MRI data were collected.The values of fractional amplitude of low-frequency fluctuation(fALFF)were calculated.Results(1)Compared with the HC group,the MDD+NSI group showed decreases in the fALFF val-ues of the default network and attention network.The fALFF values of the attention network in the MDD+SI group showed decreases.Compared with the MDD+NSI group,the MDD+SI group showed decreases in the fALFF values of the attention network.(2)The fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.55;P<0.001)in the MDD+NSI group,while the fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.53;P<0.001)and the total score of BSI(r=-0.51;P<0.001)in the MDD+SI group.(3)The optimal critical value of fALFF value in left middle frontal gyrus for predicting SI occurrence in MDD patients was-0.039,area under the curve(AUC)was 0.76,sensitivity was 0.63,and specificity was 0.80.Conclusion The decreased local activity intensity in the left middle frontal gyrus of the brain might be the central mechanism for the occurrence of SI in MDD patients.In addition,the left middle frontal gyrus might have certain value in identifying SI and predicting the severity of SI.

Objective To analyze the differences of brain activity between first-episode untreated depressive patients with and without suicidal ideation(SI),and its correlations with clinical characteristics.Methods A total of 40 major depressive disorder(MDD)patients with SI(MDD+SI group),40 patients without SI MDD(MDD+NSI group),and 40 healthy controls(HC)(HC group)were enrolled.The 17-item Hamilton depression scale(HAMD-17)and Beck scale for suicide ideation(BSI)were used to assess the severity of depression and SI,respectively.MRI data were collected.The values of fractional amplitude of low-frequency fluctuation(fALFF)were calculated.Results(1)Compared with the HC group,the MDD+NSI group showed decreases in the fALFF val-ues of the default network and attention network.The fALFF values of the attention network in the MDD+SI group showed decreases.Compared with the MDD+NSI group,the MDD+SI group showed decreases in the fALFF values of the attention network.(2)The fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.55;P<0.001)in the MDD+NSI group,while the fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.53;P<0.001)and the total score of BSI(r=-0.51;P<0.001)in the MDD+SI group.(3)The optimal critical value of fALFF value in left middle frontal gyrus for predicting SI occurrence in MDD patients was-0.039,area under the curve(AUC)was 0.76,sensitivity was 0.63,and specificity was 0.80.Conclusion The decreased local activity intensity in the left middle frontal gyrus of the brain might be the central mechanism for the occurrence of SI in MDD patients.In addition,the left middle frontal gyrus might have certain value in identifying SI and predicting the severity of SI.

Objective:To investigate the infection rate of cytomegalovirus (CMV) and Epstein-Barr virus (EBV) in patients with severe aplastic anemia (SAA) after intensive immunosuppressive therapy in combination with a thrombopoietin receptor agonist (lST+TPO-RA) as well as assess the clinical impact of treatment.Methods:A retrospective, case series study was undertaken involving patients with SAA who were admitted to Soochow Hopes Hematonosis Hospital, The First Affiliated Hospital of Soochow University, and Zhengzhou Third People′s Hospital from June 2022 to February 2025. Thirty patients with complete CMV and EBV monitoring data after IST+TPO-RA treatment were enrolled. The first activation time of CMV and EBV, the maximum viral load, the first negative conversion time, and blood routine tests within 3 days before CMV and EBV positivity, during the positive period, and within 3 days after turning negative were recorded. The patients were followed up for 9 months after the completion of IST. One-way analysis of variance was used to compare the changes of blood routine before and after virus positivity and after turning negative. The χ2 test was used to compare the viral infection rate and the therapeutic effect of IST between the two groups. Results:The 30 SAA patients comprised 15 males and 15 females with an average age of (40.0±16.9) years. Of the 30 patients, 18 (60.0%) were infected with CMV and 6 (20.0%) with EBV. Among them, 17 cases received rabbit anti-human thymocyte immunoglobulin (r-ATG) treatment (r-ATG group), 13 cases received porcine anti-human lymphocyte immunoglobulin (p-ALG) treatment (p-ALG group). The CMV infection rate was significantly higher in the r-ATG group than in the p-ALG group (15/17 vs. 3/13, χ2=13.03, P<0.001); meanwhile, the rate of EBV infection was only slightly higher in the r-ATG group than in the p-ALG group, and the difference did not reach statistical significance (5/17 vs. 1/13, χ2=2.17, P=0.196). In patients infected with CMV, neutrophil, hemoglobin, and platelet counts were significantly decreased during the infection phase, followed by significant increases after CMV clearance ( F=14.48, 11.38, 4.73; all P<0.05). No significant differences in treatment efficacy were found between the r-ATG and p-ALG groups at 3, 6, and 9 months post-IST (all P>0.05). Conclusions:This preliminary study showed that the incidence of CMV and EBV infection in patients with SAA increased after IST, with CMV infections occurring significantly more frequently than EBV infections. The CMV infection rate was significantly higher in patients treated with r-ATG than in those receiving p-ALG. CMV infection was associated with notable alterations in hematological parameters, highlighting the need for close clinical monitoring.

ObjectiveTo explore the evolution principles of symptoms including deficiency， phlegm and blood stasis， and of the functional near-infrared spectroscopy （fNIRS） cerebral hemodynamic characteristics at various stages in patients of Alzheimer's disease. MethodsA total of 497 patients with complaint of memory loss were included， and were divided into subjective cognitive decline （SCD） group （198 participants）， mild cognitive impairment （MCI） group （228 participants） and dementia （AD） group （71 participants）. Neuropsychological evaluation， traditional Chinese medicine （TCM） syndrome investigation， and fNIRS data collection of prefrontal cortex were performed in each group. Descriptive statistics were used to analyze the distribution of TCM syndromes and the difference of TCM syndrome scores in each group； logistic regression was used to analyze the influence of TCM syndromes on the incidence of the patients； association rules were used to analyze the TCM syndromes of the patients； the hemodynamic characteristics of fNIRS in the prefrontal cortex of each group were compared. ResultsKidney essence deficiency syndrome was the dominant syndrome in all stages of AD. There were statistically significant differences in the distribution frequency of kidney essence deficiency， phlegm turbidity obstructing orifices， blood stasis obstructing collaterals， qi and blood deficiency， heat toxin in the interior， and fu-organ stagnation and turbidity retention syndromes among the three groups （P＜0.01）， and the scores of kidney essence deficiency syndrome among the three groups were statistically significant （P＜0.01）. Logistic regression analysis showed that kidney essence deficiency， and qi and blood deficiency syndromes were the main risk factors for the SCD group （P＜0.05）， phlegm turbidity obstructing orifices syndrome was the main risk factor for the MCI group （P＜0.05）， and heat toxin in the interior， and fu-organ stagnation and turbidity retention syndromes were the main risk factors for the AD group （P＜0.05）. The association rule analysis showed that the combination of kidney essence deficiency plus phlegm turbidity obstructing orifices had the highest support （33.33%） in the SCD group， and the combination of kidney essence deficiency plus blood stasis obstructing collaterals had the highest support （32.90% and 52.13%） in both the MCI and AD group. The prefrontal fNIRS results showed that the mean ∆HbO₂ concentration in the left dorsolateral prefrontal cortex （LDLPFC） decreased sequentially among the three groups （P＜0.05）， and the mean ∆HbO₂ concentration in the LDLPFC was negatively correlated with the MoCA score among the three groups （r = -0.142， P＜0.05）. Further analysis showed that the mean ∆HbO₂ concentration in the LDLPFC of patients with kidney essence deficiency syndrome were statistically significant differences among the three groups （P＜0.05）. ConclusionKidney deficiency is the basis of the pathogenesis of AD， and the key brain area damaged is the LDLPFC. Turbid pathogens such as phlegm and blood stasis are the pathological factors that aggravate the disease， and the syndromes of AD show the evolution law of deficiency and excess as “kidney deficiency→phlegm turbidity→blood stasis→turbid toxin”. The changes in prefrontal hemodynamics based on fNIRS are consistent with the changes in the characteristics of symptoms， which can be used to assess the degree of cognitive impairment in AD patients.