Objective:To analyze the efficacy of laparoscopic partial splenectomy and devascularization (LPSPD), open partial splenectomy and devascularization (OPSPD), laparoscopic total splenectomy and devascularization (LTSPD), and open total splenectomy and devascularization (OTSPD) in the treatment of portal hypertension.Methods:Clinical data of 128 patients with portal hypertension admitted to the Department of Hepatobiliary and Pancreatic Surgery of the Affiliated Hospital of Qinghai University and the General Surgery Department of the Fifth Medical Center of the Chinese PLA General Hospital from May 2018 to May 2022 were retrospectively analyzed, including 69 males and 59 females, aged 51.0±10.9 years. According to different surgical methods, patients were divided into four groups, namely the LPSPD group ( n=30), the OPSPD group ( n=32), the LTSPD group ( n=31), and the OTSPD group ( n=35). Operation time, postoperative hospitalization time, postoperative complications such as newly occurred PVT, etc of the four groups of patients were compared. Results:The operation times of the LPSPD, OPSPD, LTSPD and OTSPD group were 240.0 (180.0, 399.0), 209.5 (169.0, 259.0), 207.0 (175.3, 297.5) and 200.0 (162.0, 264.0) minutes, respectively. The postoperative hospital stays were 8.0 (7.0, 12.0), 10.0 (8.3, 11.8), 11.0 (9.0, 13.0) and 13.0 (11.0, 15.0) days, respectively. The incidences of newly occurred PVT after surgery were 3.3% (1/30), 3.1% (1/32), 19.4% (6/31), and 20.0% (7/35), respectively. The above indicators were compared among the four groups respectively, and the differences were statistically significant (all P<0.05). The postoperative hospital stay of the LPSPD group was shorter than that of the LTSPD group [8.0 (7.0, 12.0) vs 11.0 (9.0, 13.0), d, Z=-3.93], and the postoperative hospital stay of the OPSPD group was also shorter than that of the OTSPD group [10.0 (8.3, 11.8) vs 13.0 (11.0, 15.0), d, Z=-3.56; all P<0.001]. The incidence of newly occurred PVT after surgery in the partial splenectomy group (LPSPD and OPSPD) was 3.2% (2/62), which was lower than that in the total splenectomy group [LTSPD and OTSPD, 19.7% (13/66), χ2=8.38, P=0.004]. Conclusion:Compared to total splenectomy, partial splenectomy might be favorable for the shortened postoperative hospital stay and lower incidence of newly occurred portal vein thrombosis.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To analyze the clinical characteristics, RAN-binding protein 2 ( RANBP2) gene variations, and prognosis in Chinese acute necrotizing encephalopathy (ANE) patients. Methods:A retrospective analysis of ANE cases registered in the Peking Union Medical College Hospital Encephalitis Registry System from 2022 to 2024, involving patients from Peking Union Medical College Hospital and other hospitals, was conducted. A descriptive study was performed on the clinical characteristics, treatments and prognosis, cerebrospinal fluid examination results, and imaging findings of these patients based on adjusted ANE diagnostic criteria. Whole-exome sequencing technology was used to detect gene mutations in these patients.Results:A total of 18 ANE cases were included, ranged in age from 2 to 72 [20(5, 43)] years. The male-to-female ratio was 4∶5. All patients were found with precipitating infections including COVID-19, influenza A virus and Mycoplasma pneumoniae infections. All patients presented with fever, with varying degrees of consciousness disturbance observed in 16 cases, and seizures in 10 cases. All patients underwent lumbar puncture, with normal or mildly elevated white cell counts [3(2, 13)×10 6/L] and mildly to moderately elevated protein levels [1.90(0.92, 4.65) g/L]. A total of 6 patients were found with extremely elevated interleukin-6 level [950(164, 2 000) pg/ml] in cerebrospinal fluid. Bilateral symmetric thalamic lesions were typical imaging features of ANE, while involvement of other areas such as cortical and subcortical white matter, brainstem, and cerebellum was also observed. A total of 14 patients performed genetic tests while 4 patients were identified with RANBP2 gene mutations (c.1754C>T in 3 cases, c.1966A>G in 1 case). All patients received immunotherapy, and 7 patients died at discharge while other patients presented with neurological sequelae of varying degrees. Conclusions:ANE is a rare and severe parainfectious encephalopathy that can occur in both children and adults. Clinically, it is characterized by rapidly progressing encephalopathy following systematic infection, with bilateral symmetric thalamic lesions. The detection of RANBP2 gene mutations could help make the diagnosis.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To analyze the clinical characteristics, RAN-binding protein 2 ( RANBP2) gene variations, and prognosis in Chinese acute necrotizing encephalopathy (ANE) patients. Methods:A retrospective analysis of ANE cases registered in the Peking Union Medical College Hospital Encephalitis Registry System from 2022 to 2024, involving patients from Peking Union Medical College Hospital and other hospitals, was conducted. A descriptive study was performed on the clinical characteristics, treatments and prognosis, cerebrospinal fluid examination results, and imaging findings of these patients based on adjusted ANE diagnostic criteria. Whole-exome sequencing technology was used to detect gene mutations in these patients.Results:A total of 18 ANE cases were included, ranged in age from 2 to 72 [20(5, 43)] years. The male-to-female ratio was 4∶5. All patients were found with precipitating infections including COVID-19, influenza A virus and Mycoplasma pneumoniae infections. All patients presented with fever, with varying degrees of consciousness disturbance observed in 16 cases, and seizures in 10 cases. All patients underwent lumbar puncture, with normal or mildly elevated white cell counts [3(2, 13)×10 6/L] and mildly to moderately elevated protein levels [1.90(0.92, 4.65) g/L]. A total of 6 patients were found with extremely elevated interleukin-6 level [950(164, 2 000) pg/ml] in cerebrospinal fluid. Bilateral symmetric thalamic lesions were typical imaging features of ANE, while involvement of other areas such as cortical and subcortical white matter, brainstem, and cerebellum was also observed. A total of 14 patients performed genetic tests while 4 patients were identified with RANBP2 gene mutations (c.1754C>T in 3 cases, c.1966A>G in 1 case). All patients received immunotherapy, and 7 patients died at discharge while other patients presented with neurological sequelae of varying degrees. Conclusions:ANE is a rare and severe parainfectious encephalopathy that can occur in both children and adults. Clinically, it is characterized by rapidly progressing encephalopathy following systematic infection, with bilateral symmetric thalamic lesions. The detection of RANBP2 gene mutations could help make the diagnosis.

Objective:To analyze the efficacy of laparoscopic partial splenectomy and devascularization (LPSPD), open partial splenectomy and devascularization (OPSPD), laparoscopic total splenectomy and devascularization (LTSPD), and open total splenectomy and devascularization (OTSPD) in the treatment of portal hypertension.Methods:Clinical data of 128 patients with portal hypertension admitted to the Department of Hepatobiliary and Pancreatic Surgery of the Affiliated Hospital of Qinghai University and the General Surgery Department of the Fifth Medical Center of the Chinese PLA General Hospital from May 2018 to May 2022 were retrospectively analyzed, including 69 males and 59 females, aged 51.0±10.9 years. According to different surgical methods, patients were divided into four groups, namely the LPSPD group ( n=30), the OPSPD group ( n=32), the LTSPD group ( n=31), and the OTSPD group ( n=35). Operation time, postoperative hospitalization time, postoperative complications such as newly occurred PVT, etc of the four groups of patients were compared. Results:The operation times of the LPSPD, OPSPD, LTSPD and OTSPD group were 240.0 (180.0, 399.0), 209.5 (169.0, 259.0), 207.0 (175.3, 297.5) and 200.0 (162.0, 264.0) minutes, respectively. The postoperative hospital stays were 8.0 (7.0, 12.0), 10.0 (8.3, 11.8), 11.0 (9.0, 13.0) and 13.0 (11.0, 15.0) days, respectively. The incidences of newly occurred PVT after surgery were 3.3% (1/30), 3.1% (1/32), 19.4% (6/31), and 20.0% (7/35), respectively. The above indicators were compared among the four groups respectively, and the differences were statistically significant (all P<0.05). The postoperative hospital stay of the LPSPD group was shorter than that of the LTSPD group [8.0 (7.0, 12.0) vs 11.0 (9.0, 13.0), d, Z=-3.93], and the postoperative hospital stay of the OPSPD group was also shorter than that of the OTSPD group [10.0 (8.3, 11.8) vs 13.0 (11.0, 15.0), d, Z=-3.56; all P<0.001]. The incidence of newly occurred PVT after surgery in the partial splenectomy group (LPSPD and OPSPD) was 3.2% (2/62), which was lower than that in the total splenectomy group [LTSPD and OTSPD, 19.7% (13/66), χ2=8.38, P=0.004]. Conclusion:Compared to total splenectomy, partial splenectomy might be favorable for the shortened postoperative hospital stay and lower incidence of newly occurred portal vein thrombosis.

The aging process in China is accelerating, and geriatric care is facing daunting challenges. This paper reviews the concept, component factors, measurement methods of cognitive reserve, and its role in geriatric nursing, and elaborates on the necessity of personalized cognitive reserve intervention for the aged, so as to promote the application of cognitive reserve in geriatric nursing.

Objective To investigate the expression of Nanog and its regulatory relationship with MMP-2/MMP-9 proteins in esophageal squamous cell carcinoma(ESCC).Methods We detected Nanog and MMP-2/MMP-9 protein expressions in 127 ESCC tissues and 82 adjacent normal tissues using immunohistochemistry and explored their correlations with the clinicopathological parameters and prognosis of the patients.GEO database was utilized to analyze the pathways enriched with the stemness-related molecules including Nanog,and TIMER online tool was used to analyze the correlations among TβR1,MMP-2,and MMP-9 in esophageal cancer.Results Nanog and MMP-2/MMP-9 proteins were significantly upregulated in ESCC tissues and positively intercorrelated.Their expression levels were closely correlated with infiltration depth and lymph node metastasis of ESCC but not with age,gender,or tumor differentiation.The patients with high expressions of Nanog and MMP-2/MMP-9 had significantly shorter survival time.Bioinformatics analysis showed enrichment of stemness-associated molecules in the TGF-β signaling pathway,and the expressions of MMP-2/MMP-9 and TβR1 were positively correlated.In cultured ESCC cells,Nanog knockdown significantly decreased the expression of TβR1,p-Smad2/3,MMP-2,and MMP-9 and strongly inhibited cell migration.Conclusion The high expressions of Nanog,MMP-2,and MMP-9,which are positively correlated,are closely related with invasion depth,lymph node metastasis,and prognosis of ESCC.Nanog regulates the expressions of MMP-2/MMP-9 proteins through the TGF-β signaling pathway,and its high expression promotes migration of ESCC cells.