1.Tumor-Associated Macrophage Infiltration and PD-L1 Expression in Gastric Cancer According to a Modified TCGA-Based Classification
Boram SONG ; Dong-Hoe KOO ; Eo Jin KIM ; In-Gu DO ; Jinah CHU ; Kyungeun KIM ; Hyebin LEE ; Min-Jung KWON ; Jung Ho PARK ; Byung Ho SON ; Chang Hak YOO ; Seoung Wan CHAE
Journal of Gastric Cancer 2026;26(2):247-259
Purpose:
Although gastric cancer (GC) exhibits significant genomic heterogeneity, the clinical implications of its immune microenvironment remain poorly understood.
Materials and Methods:
We retrospectively evaluated patients with GC who underwent gastrectomies between 2011 and 2014. The tumors were analyzed for Epstein–Barr virus (EBV), microsatellite instability-high (MSI-H), tumor-infiltrating lymphocytes (CD3), tumor-associated macrophages (CD68 and CD163), and programmed death-ligand 1 (PD-L1) expression. Tumors were classified using the modified The Cancer Genome Atlas scheme, and their clinical characteristics were compared.
Results:
A total of 567 patients were classified into EBV (6%), MSI-H (10%), chromosomal instability-like (36%), and genomically stable-like (48%) subtypes. EBV tumors exhibited the highest PD-L1 expression (85%) and immune infiltration by CD3+ T cells (86%), CD68+ macrophages (58%), and CD163+ macrophages (40%). High CD68+ macrophage tumors were associated with advanced stages and worse 5-year disease-free survival (83% vs. 95%; P<0.001);however, this association was not independently significant after adjusting for the tumor-nodemetastasis stage. PD-L1 expression did not significantly affect the survival outcomes.
Conclusions
GC subtypes have distinct immune microenvironments that influence prognosis. Our findings highlight the prognostic and therapeutic potential of immune profiling in GC.
2.Prolonged cerebral oxygenation surveillance with algorithm-based management: a neurocritical care bundle for extremely preterm infants
Kai-Hsiang HSU ; Wei-Hung WU ; Shu-Yu LIN ; Chih-Chen CHANG ; Mei-Yin LAI ; I-Hsyuan WU ; Shih-Ming CHU ; Ming-Chou CHIANG ; Reyin LIEN
Clinical and Experimental Pediatrics 2026;69(4):304-312
Background:
Cerebral hypoxia-ischemia impairs brain development in extremely preterm infants and is associated with poor neurological outcomes. Near-infrared spectroscopy (NIRS) is a noninvasive continuous monitoring method for regional cerebral oxygen saturation (rcSO2).Purpose: This study evaluated the clinical feasibility and neurological impact of a neurocritical care bundle that incorporates prolonged multidisciplinary hemodynamic monitoring and a stepwise management algorithm.
Methods:
Preterm infants with a gestational age (GA) ≤28 weeks or birth weight (BW) ≤1,000 g were prospectively enrolled in a bundle group subjected to NIRS for rcSO2, electrical cardiometry for cardiac output, and daily brain and cardiac echography during the first 72 hours of life. Monitoring was repeated weekly in the first month and then monthly until discharge or the term-equivalent age (TEA) was reached. We implemented a stepwise management algorithm for treating cerebral hypoxia. The primary outcome was a composite of mortality and adverse neurological events (structural abnormalities or electroencephalogram-confirmed seizures) before discharge. The secondary outcomes were the physiological pattern of rcSO2 within the initial 72 hours and up to discharge or TEA.
Results:
Thirty preterm infants (GA, 27.1±2.0 weeks; BW, 830±225 g) were enrolled in the bundle group. The mean time-averaged rcSO2 (66.8%±10.3%) was not associated with GA or BW. However, postnatal age appeared to influence physiological rcSO2 changes, given that rcSO2 values were higher during the initial 72 hours than at subsequent intervals. Seven infants (23.3%) had poor outcomes and significantly lower time-averaged rcSO2 (51.1% [50.0%–65.2%] vs. 71.8% [67.1%–73.1%], P=0.002). Multivariate regression indicated that a lower rcSO2 was an independent risk factor, and a 65% threshold showed an optimal predictive value for poor outcomes.
Conclusion
The neurocritical care bundle helped identify preterm infants at risk of cerebral hypoxia, and lower rcSO2 was an independent risk factor for composite mortality and adverse neurological outcomes.
3.Relation of irrational procrastination to compulsory citizenship behavior and psychological entitlement in clinical nurses
Zifeng LI ; Chu WANG ; Wen YI ; Xiaojuan ZHANG ; Zuyang XI ; Caiyun CHANG
Chinese Mental Health Journal 2025;39(4):362-366
Objective:To explore the relationship between irrational procrastination and compulsory citizenship behavior among clinical nurses,and to investigate the role of psychological entitlement in this relationship.Meth-ods:A sample of 413 clinical nurses from a tertiary hospital was selected for this study.The Irrational Procrastina-tion Scale(IPS),Compulsory Citizenship Behavior Scale(CCBS),and Psychological Entitlement Scale(PES)were used for evaluation.Results:The scores of IPS,CCBS and PES were positively correlated with each other(r=0.53,0.56,0.39,Ps<0.01).Psychological entitlement partially mediated the relationship between compulsory citi-zenship behavior and irrational procrastination among clinical nurses,with an indirect effect of 0.17,accounting for 13.85%of the total effect.Conclusion:Psychological entitlement plays a partial mediating role in the relationship between compulsory citizenship behavior and irrational procrastination among clinical nurses.
4.Relationship between non-renin-dependent aldosterone and left ventricular hypertrophy in essential hypertension
Guili CHANG ; Changyuan LIU ; Mingchun LI ; Zhe HU ; Jing CHEN ; Qun'an CAO ; Shaoli CHU ; Xin CHEN
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(10):1372-1377
Objective·To analyze the influencing factors of left ventricular mass index(LVMI)in patients with essential hypertension,and explore the relationship between aldosterone levels and left ventricular hypertrophy(LVH).Methods·A total of 155 patients with essential hypertension,hospitalized in the Hypertension Department of the Northern Campus of Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,from January 2013 to December 2019,and excluded from primary aldosteronism by saline load test(post-saline suppression plasma aldosterone<60 pg/mL),were enrolled.General clinical data(age,gender,smoking status,duration of hypertension,etc.),physical examination data(blood pressure and body mass index),blood biochemistry(renal function,electrolytes,fasting blood glucose,and lipids),urinary sodium,and relevant hormones(basal and activated aldosterone,basal and activated renin,urinary aldosterone,post-saline suppression aldosterone,etc.)were collected.LVMI was evaluated by echocardiography.Pearson correlation analysis was used to assess the linear association between LVMI and each variable.Binary Logistic regression models were applied to screen independent risk factors for LVH.Multiple linear regression models were used to assess the impact of variables on LVMI.Results·The mean age of the 155 patients was(46.85±11.08)years,with 51.6%being male.Pearson correlation analysis showed that LVMI was significantly positively correlated with post-saline suppression aldosterone(r=0.334,P<0.001),age(r=0.184,P=0.032),duration of hypertension(r=0.241,P=0.005),systolic blood pressure(r=0.280,P=0.001),and pulse pressure(r=0.339,P<0.001).No significant correlations were found with diastolic blood pressure,body mass index,fasting blood glucose,total cholesterol,low-density lipoprotein cholesterol,triglyceride,high-density lipoprotein cholesterol,urinary sodium,basal aldosterone,activated aldosterone,or urinary aldosterone.After adjusting for confounders,including gender,smoking history,age,duration of hypertension,body mass index,pulse pressure,systolic blood pressure,fasting blood glucose,and total cholesterol,binary Logistic regression showed that each 1 pg/mL increase in post-saline suppression aldosterone was associated with a 5.1%increased risk of LVH(OR=1.051,95%CI 1.016?1.088,P=0.004).Multiple linear regression identified suppressed aldosterone(β=0.359,P<0.001),duration of hypertension(β=0.168,P=0.046),and pulse pressure(β=0.226,P=0.008)as independent influencing factors for LVMI.Conclusion·Suppressed aldosterone is an independent influencing factor for LVH in patients with essential hypertension.
5.Predictive model for intra-abdominal pressure in critically ill patients based on multiple regression and variational auto-encoders
Yi ZHANG ; Zhi-qin ZHU ; Wen-lin LI ; Dong-chu ZHAO ; Chang LIU ; Zhi-wei FAN ; Zhen WANG ; Lian-yang ZHANG ; Hao TANG
Chinese Medical Equipment Journal 2025;46(11):10-17
Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.
6.Relation of irrational procrastination to compulsory citizenship behavior and psychological entitlement in clinical nurses
Zifeng LI ; Chu WANG ; Wen YI ; Xiaojuan ZHANG ; Zuyang XI ; Caiyun CHANG
Chinese Mental Health Journal 2025;39(4):362-366
Objective:To explore the relationship between irrational procrastination and compulsory citizenship behavior among clinical nurses,and to investigate the role of psychological entitlement in this relationship.Meth-ods:A sample of 413 clinical nurses from a tertiary hospital was selected for this study.The Irrational Procrastina-tion Scale(IPS),Compulsory Citizenship Behavior Scale(CCBS),and Psychological Entitlement Scale(PES)were used for evaluation.Results:The scores of IPS,CCBS and PES were positively correlated with each other(r=0.53,0.56,0.39,Ps<0.01).Psychological entitlement partially mediated the relationship between compulsory citi-zenship behavior and irrational procrastination among clinical nurses,with an indirect effect of 0.17,accounting for 13.85%of the total effect.Conclusion:Psychological entitlement plays a partial mediating role in the relationship between compulsory citizenship behavior and irrational procrastination among clinical nurses.
7.Relationship between non-renin-dependent aldosterone and left ventricular hypertrophy in essential hypertension
Guili CHANG ; Changyuan LIU ; Mingchun LI ; Zhe HU ; Jing CHEN ; Qun'an CAO ; Shaoli CHU ; Xin CHEN
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(10):1372-1377
Objective·To analyze the influencing factors of left ventricular mass index(LVMI)in patients with essential hypertension,and explore the relationship between aldosterone levels and left ventricular hypertrophy(LVH).Methods·A total of 155 patients with essential hypertension,hospitalized in the Hypertension Department of the Northern Campus of Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,from January 2013 to December 2019,and excluded from primary aldosteronism by saline load test(post-saline suppression plasma aldosterone<60 pg/mL),were enrolled.General clinical data(age,gender,smoking status,duration of hypertension,etc.),physical examination data(blood pressure and body mass index),blood biochemistry(renal function,electrolytes,fasting blood glucose,and lipids),urinary sodium,and relevant hormones(basal and activated aldosterone,basal and activated renin,urinary aldosterone,post-saline suppression aldosterone,etc.)were collected.LVMI was evaluated by echocardiography.Pearson correlation analysis was used to assess the linear association between LVMI and each variable.Binary Logistic regression models were applied to screen independent risk factors for LVH.Multiple linear regression models were used to assess the impact of variables on LVMI.Results·The mean age of the 155 patients was(46.85±11.08)years,with 51.6%being male.Pearson correlation analysis showed that LVMI was significantly positively correlated with post-saline suppression aldosterone(r=0.334,P<0.001),age(r=0.184,P=0.032),duration of hypertension(r=0.241,P=0.005),systolic blood pressure(r=0.280,P=0.001),and pulse pressure(r=0.339,P<0.001).No significant correlations were found with diastolic blood pressure,body mass index,fasting blood glucose,total cholesterol,low-density lipoprotein cholesterol,triglyceride,high-density lipoprotein cholesterol,urinary sodium,basal aldosterone,activated aldosterone,or urinary aldosterone.After adjusting for confounders,including gender,smoking history,age,duration of hypertension,body mass index,pulse pressure,systolic blood pressure,fasting blood glucose,and total cholesterol,binary Logistic regression showed that each 1 pg/mL increase in post-saline suppression aldosterone was associated with a 5.1%increased risk of LVH(OR=1.051,95%CI 1.016?1.088,P=0.004).Multiple linear regression identified suppressed aldosterone(β=0.359,P<0.001),duration of hypertension(β=0.168,P=0.046),and pulse pressure(β=0.226,P=0.008)as independent influencing factors for LVMI.Conclusion·Suppressed aldosterone is an independent influencing factor for LVH in patients with essential hypertension.
8.Predictive model for intra-abdominal pressure in critically ill patients based on multiple regression and variational auto-encoders
Yi ZHANG ; Zhi-qin ZHU ; Wen-lin LI ; Dong-chu ZHAO ; Chang LIU ; Zhi-wei FAN ; Zhen WANG ; Lian-yang ZHANG ; Hao TANG
Chinese Medical Equipment Journal 2025;46(11):10-17
Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.
9.Morphologic Analysis of Fracture Patterns in the Anterior Region of Femoral Intertrochanteric Fractures Using Computed Tomography
Jae-Suk CHANG ; Seonggeun CHU ; Ji-Wan KIM ; Chul-Ho KIM
The Journal of the Korean Orthopaedic Association 2025;60(1):38-45
Purpose:
Intertrochanteric fractures often involve comminuted fractures, particularly around the intertrochanteric ridge, including the greater and lesser trochanters. In cases with comminuted fractures in the posterior region, maintaining a stable reduction of the anteriormedial region of the fracture surface is essential. Therefore, this study examined the morphologic features of the anterior femur for stable reduction by analyzing the anterior region of intertrochanteric fractures using three-dimensional computed tomography.
Materials and Methods:
This retrospective study analyzed the imaging data of 51 patients aged 60 years and older who underwent a surgical treatment for intertrochanteric fractures at a single institution from April 2013 to March 2023. The sample contained 15 male patients with an average age of 81.9 years and 36 female patients with an average age of 83.7 years. Forty patients (78.4%) had two or more comorbidities. The bone mineral density was assessed in all cases except for five (9.8%).
Results:
In 49 cases (96.1%), the anterior fracture line followed the intertrochanteric line and passed through two bony prominences.In two cases (3.9%), the fracture line ran below the intertrochanteric line and involved a large fragment of the lesser trochanter. As the fracture line passed through the inferior medial bony prominence, it exhibited an S-shaped pattern rather than a straight line. The inferior medial bony prominence consisted of cortical bone, with an average thickness of 6.4±1.4 mm, which was significantly thicker than the surrounding average cortical bone thickness (1.5±0.6 mm) but thinner than the cortical bone thickness of the femoral shaft (7.3±1.3 mm).The fracture line in the superior lateral region of the intertrochanteric line included cancellous bone with a cortical bone thickness of 1.1±0.6 mm, which was thin.
Conclusion
The anterior fracture line followed the femoral intertrochanteric line and curves as it passed through the inferior medial bony prominence. The inferior medial bony prominence, consisting of cortical bone, was significantly thicker than the surrounding average cortical bone.
10.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

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