BACKGROUND: The association of systemic inflammatory response index (SIRI) with prognosis of coronary artery disease (CAD) patients has never been investigated in a large sample with long-term follow-up. This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States. METHODS: A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were included in this study. Cox proportional hazards model, restricted cubic spline (RCS), and receiver operating characteristic curve (ROC) were performed to investigate the association of SIRI with all-cause and cause-specific mortality. Piece-wise linear regression and sensitivity analyses were also performed. RESULTS: During a median follow-up of 7.7 years, 1454 all-cause mortality occurred. After adjusting for confounding factors, higher lnSIRI was significantly associated with higher risk of all-cause (HR = 1.16, 95% CI: 1.09-1.23) and CVD mortality (HR = 1.17, 95% CI: 1.05-1.30) but not cancer mortality (HR = 1.17, 95% CI: 0.99-1.38). The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI, respectively. ROC curves showed that lnSIRI had robust predictive effect both in short and long terms. CONCLUSIONS SIRI was independently associated with all-cause and CVD mortality, and the dose-response relationship was J-shaped. SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.

Objective:To explore the complement deposition levels on blood cell surfaces in patients with paroxysmal nocturnal hemoglobinuria (PNH) and evaluate their association with clinical manifestations.Methods:This study enrolled patients with PNH, who had not been treated with complement inhibitors and appeared at Peking Union Medical College Hospital from February 2021 to February 2023. The clinical information of participants was retrospectively recorded, and peripheral blood samples were collected. Gender- and age-matched normal controls (NC) were recruited accordingly. C5b-9, C3, C4b, and factor B (FB) deposition levels on peripheral red blood cells, white blood cells, and platelets were detected with flow cytometry. The correlation between complement deposition levels and clinical symptoms was analyzed.Results:This study involved 73 patients with PNH, including 42 (57.5%) males, with a median age of 36 (range: 14-76) years. 16 matched NC were collected. Among patients with PNH, 36 (49.3%) had classical PNH and 37 (50.7%) had aplastic anemia-PNH syndrome. Thromboembolic events (TEE) occurred in 18 (24.7%) patients. The median HGB, absolute reticulocyte count (Ret), and lactate dehydrogenase of PNH patients were 76 (37-116) g/L, 181.0 (45.9-495.8) ×10 9/L, and 1 875 (377 - 5 509) U/L, respectively. The median number of Flaer-negative white blood cells was 94.0% (13.0% - 99.9%) ; the median CD59 negative red blood cells was 46.7% (9.0% - 93.0%). The deposition of C5b-9, C3, C4b, and FB on red blood cells, white blood cells, and platelets in patients with PNH was significantly higher than that in NC (all P<0.05). C5b-9 deposition level was significantly higher than that of C3, C4b, and FB on all three blood cell lineages in PNH patients (all P<0.01). The deposition of all complement fragments on red blood cells was significantly lower than that on white blood cells and platelets (all P<0.01). C5b-9 deposition on red blood cells was positively correlated with Ret in PNH patients ( P=0.005). C3 ( P=0.001) and C4b ( P=0.017) deposition levels on white blood cells and C3 deposition on platelets ( P=0.002) in patients with TEE history were lower than those without. Conclusions:C5b-9, C3, C4b, and FB deposition levels on all three blood cells in patients with PNH were higher than NC. Increased C5b-9 on red blood cells may indicate active hemolysis. Reduced C3 and C4b levels on white blood cells and low C3 deposition on platelets may indicate TEE risk.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

OBJECTIVE: Asthma imposes a significant global health burden. This study examines changes in the asthma-related disease burden from 1990 to 2021 and projects future burdens for 2050 under different scenarios. METHODS: Using data from the Global Burden of Disease 2021 study, we analyzed asthma incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We projected the disease burden for 2050 based on current trends and hypothetical scenarios in which all risk factors are controlled. Temporal trends in age-standardized incidence, prevalence, mortality, and DALY rates were explored using Annual Percent Change. RESULTS: In 2021, the age-standardized rates for asthma incidence, prevalence, mortality, and DALYs in China were 364.17 per 100,000 (95% uncertainty interval [ UI]: 283.22-494.10), 1,956.49 per 100,000 (95% UI: 1,566.68-2,491.87), 1.47 per 100,000 (95% UI: 1.15-1.79), and 103.76 per 100,000 (95% UI: 72.50-145.46), respectively. A higher disease burden was observed among Chinese men and individuals aged 70 years or older. Compared to the current trend, a combined scenario involving improvements in environmental factors, behavioral and metabolic health, child nutrition, and vaccination resulted in a greater reduction in the disease burden caused by asthma. CONCLUSION Addressing modifiable risk factors is essential for further reducing the asthma-related disease burden.
Humans ; Asthma/mortality* ; China/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Aged ; Child ; Adolescent ; Global Burden of Disease/trends* ; Child, Preschool ; Young Adult ; Infant ; Cost of Illness ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Infant, Newborn ; Aged, 80 and over ; Risk Factors

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

ObjectiveTo characterize the changes in the overall chemical profile and key index components during nine-time repeating steaming and sun-drying processing of Rhei Radix et Rhizoma， and to reveal the change law of its material basis. MethodsHigh performance liquid chromatography（HPLC） was used to analyze the changes in the overall chemical profile of Rhei Radix et Rhizoma decoction pieces， and the contents of 15 main active components such as chrysophanol-8-O-β-D-glucoside， chrysophanol and gallic acid in the process of nine-time repeating steaming and sun-drying were determined. Combined with chemometrics， the contents and quantity ratio relationships of the glycosides， aglycones and tannins during the processing of Rhei Radix et Rhizoma were analyzed， and the partial least squares-discriminant analysis（PLS-DA） and cluster analysis of the main components in different steaming times were conducted， the statistically significant differential markers were selected with the variable importance in the projection（VIP） value>1. ResultsIn the nine-time repeating steaming and sun-drying process of Rhei Radix et Rhizoma， there were certain regularity in the number and peak area of characteristic peaks and the steaming and sun-drying times， the anthraquinone glycosides and aglycones could be roughly divided into three stages， including rapid change stage， fluctuation change stage and stable stage， and the total amount of tannins showed a decreasing trend. However， the ratios between the three components mentioned above tended to stabilize after five rounds of steaming and sun-drying. The results of PLS-DA and cluster heatmap showed that the content of each component in Rhei Radix et Rhizoma fluctuated greatly during the 1-4 steaming and sun-drying processes， while the content of each component was relatively close during the 5-9 steaming and sun-drying processes. After screening， it was found that chrysophanol， emodin， chrysophanol-8-O-β-D-glucoside， rhein， physcion and emodin-8-O-β-D-glucoside could be used as the index components for distinguishing the processed products of Rhei Radix et Rhizoma with different steaming and sun-drying times. ConclusionThe changes in the properties and efficacy of Rhei Radix et Rhizoma caused by the processing of nine-time repeating steaming and sun-drying are due to the changes in the composition and ratio of various glycosides and complex tannins in this herb， which is also the key to the formation of its characteristic of "purgation with supplement". This study can provide a basis for the research on the processing mechanism of Rhei Radix et Rhizoma and the establishment of processing specifications.

BACKGROUND:Marine traditional Chinese medicine offers a potentially effective and less adverse treatment for osteoporosis.OBJECTIVE:To explore the pharmacological regulations and procedures of traditional Chinese medicine in treating osteoporosis through data mining and network pharmacology techniques.METHODS:Data mining and network pharmacology methods were used to study the medication pattern and mechanism of marine Chinese medicine patented prescriptions approved by China National Intellectual Property Administration for the treatment of osteoporosis,and special attention was paid to the core Chinese medicine constituents of these prescriptions.The core constituents of the compound drug group composed of oyster-Dipsacus asper-epimedium were comprehensively identified and analyzed by using ultra-high-performance liquid chromatography tandem mass spectrometry.RESULTS AND CONCLUSION:(1)We collected 381 authorized compound patents for the treatment of osteoporosis from the database inception to April 1,2024.Among these,48 patent groups utilized marine traditional Chinese medicine.These prescriptions contained 183 Chinese herbal medicines,of which 13 marine traditional Chinese medicines were used 574 times in total,and the number of flavors used in a single patented formula ranged from 2 to 41.(2)Oyster was the most frequently used marine ingredient,while Dipsacus asper,epimedium,Rehmannia glutinosa,Eucommia ulmoides Oliv.were the most frequent non-marine components.Association rule analysis identified oyster,Dipsacus asper,and epimedium as the core drug group.Network pharmacology analysis revealed that the core targets of this group for the treatment of osteoporosis included ALB,AKT1,TP53,PPARG,and SRC.Sitosterol,liquiritigenin,japonine,luteolin,and kaempferol were identified as the core components within the marine traditional Chinese medicine prescriptions.(3)The GO and KEGFG enrichment analyses suggested a potential association between the mechanism of the core drug group and the rap1/mapk signaling pathway in the treatment of osteoporosis.(4)The molecular docking verified the beneficial interactions between core components and core targets.(5)The ultra-high-performance liquid chromatography tandem mass spectrometry analysis of the compound medicine confirmed the presence of luteolin,sitosterol,kaempferol,and other components,aligning with the drug components identified by network pharmacology.Quantitative analysis indicated that flavonoids,terpenes,and alkaloids constituted a significant proportion of the compound medicine's components.

BACKGROUND:Marine traditional Chinese medicine offers a potentially effective and less adverse treatment for osteoporosis.OBJECTIVE:To explore the pharmacological regulations and procedures of traditional Chinese medicine in treating osteoporosis through data mining and network pharmacology techniques.METHODS:Data mining and network pharmacology methods were used to study the medication pattern and mechanism of marine Chinese medicine patented prescriptions approved by China National Intellectual Property Administration for the treatment of osteoporosis,and special attention was paid to the core Chinese medicine constituents of these prescriptions.The core constituents of the compound drug group composed of oyster-Dipsacus asper-epimedium were comprehensively identified and analyzed by using ultra-high-performance liquid chromatography tandem mass spectrometry.RESULTS AND CONCLUSION:(1)We collected 381 authorized compound patents for the treatment of osteoporosis from the database inception to April 1,2024.Among these,48 patent groups utilized marine traditional Chinese medicine.These prescriptions contained 183 Chinese herbal medicines,of which 13 marine traditional Chinese medicines were used 574 times in total,and the number of flavors used in a single patented formula ranged from 2 to 41.(2)Oyster was the most frequently used marine ingredient,while Dipsacus asper,epimedium,Rehmannia glutinosa,Eucommia ulmoides Oliv.were the most frequent non-marine components.Association rule analysis identified oyster,Dipsacus asper,and epimedium as the core drug group.Network pharmacology analysis revealed that the core targets of this group for the treatment of osteoporosis included ALB,AKT1,TP53,PPARG,and SRC.Sitosterol,liquiritigenin,japonine,luteolin,and kaempferol were identified as the core components within the marine traditional Chinese medicine prescriptions.(3)The GO and KEGFG enrichment analyses suggested a potential association between the mechanism of the core drug group and the rap1/mapk signaling pathway in the treatment of osteoporosis.(4)The molecular docking verified the beneficial interactions between core components and core targets.(5)The ultra-high-performance liquid chromatography tandem mass spectrometry analysis of the compound medicine confirmed the presence of luteolin,sitosterol,kaempferol,and other components,aligning with the drug components identified by network pharmacology.Quantitative analysis indicated that flavonoids,terpenes,and alkaloids constituted a significant proportion of the compound medicine's components.

Objective:To explore the need for parental involvement in treatment decision-making for children with type 1 diabetes mellitus, so as to provide basis for medical and nursing staff to formulate targeted intervention strategies.Methods:This was a qualitative study. From April to May 2024, 15 parents of children with type 1 diabetes mellitus admitted to the Department of Endocrine Genetics and Metabolism at Children's Hospital of Soochow University were selected as research subjects for face-to-face semi-structured interviews. Inductive content analysis was used for data analysis.Results:Among the 15 children patients, there were 4 males and 11 females, with an age of (37.61±5.93) years old. Four themes were extracted, including the need for decision-making involvement and expression, the need for diversity decision-making information, the need for multi-channel decision-making communication and the need for diversified decision-making support.Conclusions:Medical and nursing staff should pay attention to decision-making needs of the parents of children with type 1 diabetes when they participate in treatment decision-making, and improve their parents' decision-making self-efficacy and promote their decision-making involvement by adopting diversified decision-making aids and effective decision-making communication.