ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

Background Lung cancer, one of the most common malignant tumors worldwide, has long ranked first in cancer incidence and mortality, posing a severe challenge to public health systems. Objective To analyze the trends in incidence, mortality, and disability-adjusted life years (DALYs) of lung cancer among residents in Jing'an District, Shanghai, from 2002 to 2021, explore the impacts of population aging, population growth, and age-specific prevalence on disease burden, and provide a scientific basis for optimizing regional lung cancer prevention and control strategies. Methods Based on the cancer registration and cause-of-death surveillance data of registered residents in Jing'an District, Shanghai, from 2002 to 2021, Joinpoint regression models were used to analyze the annual change trends (APC) and average annual change trends (AAPC) of lung cancer incidence, mortality, DALY rate, and their age-standardized rates. Decomposition analysis was applied to quantify the contribution of population aging, population growth, and age-specific prevalence to changes in the number of new cases, deaths, and DALYs. Results From 2002 to 2021, the crude incidence rate of lung cancer in Jing'an District increased from 68.00 per 100000 to 144.36 per 100000 (AAPC=4.86%, P<0.001), and the age-standardized incidence rate rose from 43.09 per 100000 to 61.46 per 100000 (AAPC=2.89%, P<0.001). The growth rate of incidence was significantly higher in females (AAPC=6.73%) than in males (AAPC=3.62%). The crude mortality rate increased from 58.08 per 100000 to 66.11 per 100000 (AAPC=1.10%, P<0.001), while the age-standardized mortality rate decreased (AAPC=−1.54%, P<0.001). The crude DALY rate showed an upward trend (AAPC=0.94%, P=0.002), whereas the age-standardized DALY rate declined (AAPC=−1.63%, P<0.001). Significant differences were observed across genders and age groups: the mortality and DALY rates increased in males aged 60-64 years, while the fastest incidence growth occurred in females aged 45-64 years. The results of decomposition analysis indicated that the increase in new cases was primarily attributed to age-specific incidence (38.15%) and aging (37.31%); the growth in deaths and DALYs was driven by aging, while age-specific mortality and population growth showed offsetting effects. From 2002 to 2021, the probability of premature death from lung cancer among males (2.04%-2.52%) in Jing'an District showed no statistically significant trend (AAPC=−0.28%, P=0.440), while it presented a decreasing trend in the total population (1.37%-1.89%) and females (0.72%-1.26%) (AAPC=−0.80% and −2.23%, respectively; P=0.029 and <0.001, respectively). Conclusion From 2002 to 2021, the risk of lung cancer incidence in Jing’an District, Shanghai, continue to increase, with a disease burden exhibiting significant heterogeneity by gender and age: key features include a rapid increase in new cases and a trend toward younger onset among females, alongside rising mortality risk among males aged 60–64 years. Population aging and increasing age-specific incidence rates are primary drivers of the growing number of cases, while declining age-specific mortality rates mitigate the rise in mortality burden.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

ObjectiveTo study the pharmacological substances and mechanisms through which sesquiterpene ZH-13 from Aquilariae Lignum Resinatum improves neuroinflammation. MethodsBV-2 microglial cells were stimulated with lipopolysaccharide （LPS） to induce neuroinflammation. The cells were divided into the normal group， the model group， and the ZH-13 low- and high-dose treatment groups （10， 20 μmol·L^-1）. The model group was treated with 1 μmol·L^-1 LPS. Cell viability was assessed using the cell proliferation and activity assay （CCK-8 kit）. Nitric oxide （NO） release in the cell supernatant was measured using a nitric oxide kit （Griess method）. The mRNA expression levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and interleukin-6 （IL-6） were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The phosphorylation of mitogen-activated protein kinase （MAPK） pathway proteins was assessed by Western blot. ResultsCompared with the model group， ZH-13 dose-dependently reduced NO release from BV-2 cells under LPS stimulation （P<0.05， P<0.01）. In the 20 μmol·L^-1 ZH-13 treatment group， the mRNA expression levels of IL-1β， TNF-α， iNOS， and IL-6 were significantly reduced compared to the model group （P<0.05， P<0.01）. In both the low- and high-dose ZH-13 groups， the expression of the inflammatory factor TNF-α and the phosphorylation of c-Jun N-terminal kinase （JNK） in the upstream MAPK pathway were significantly reduced （P<0.05）. After stimulation with the JNK agonist anisomycin （Ani）， both low- and high-dose ZH-13 treatment groups showed reduced phosphorylation of JNK proteins compared to the Ani-treated group （P<0.01）. ConclusionThe sesquiterpene compound ZH-13 from Aquilariae Lignum Resinatum significantly ameliorates LPS-induced neuroinflammatory responses in BV-2 cells by inhibiting excessive JNK phosphorylation and reducing TNF-α expression. These findings elucidate the pharmacological substances and mechanisms underlying the sedative and calming effects of Aquilariae Lignum Resinatum.

The prescription Mahuang Shengmatang in the Treatise on Cold Damage （《伤寒论》） has sparked considerable debate among medical practitioners throughout history， with varying opinions on its indications， pathogenesis described in the text， principle of compatibility， and clinical applications. Both ancient and modern interpreters of Mahuang Shengmatang often focus on herbal compatibility as a primary approach to deduce the pathogenesis and treatment methods. Building upon this foundation， this paper utilizes herbal dosage as a clue to discern the primary and secondary herbs in the prescription. It further analyzes the principle of compatibility based on herbal indications， summarizing the indications and therapeutic principles of this prescription. Ultimately， it reveals the underlying pathogenesis reflected in the text. The internal closure of heat and toxin leads to the stagnation of Qi， preventing Yang Qi from reaching the extremities and causing cold hands and feet. When the pathogenic Qi finds no outlet， it floods both the upper and lower regions of the body， attacking the throat and causing cough with expectoration of pus and blood， and descending to the large intestine to consume Yin fluids， resulting in persistent diarrhea. Based on this pathogenesis， the paper expands the scope of symptoms and signs associated with the prescription， providing a more detailed portrayal of the applicable patient population and enhancing the basis for clinical prescription references. Additionally， the paper presents considerations on several controversial topics， suggesting that the "lower pulse" described in the text refers to the lower limb arterial pulsation， and the symptoms and signs resemble those of septic shock in modern medicine. Therefore， Mahuang Shengmatang should be categorized as a prescription for treating warm diseases and it is not developed by ZHANG Zhongjing. By employing a detailed discussion on the syndrome， pathogenesis， and clinical application in the texts of Mahuang Shengmatang from the dosage， principle of compatibility， and herbal indications， this paper not only enriches the theoretical foundation of Mahuang Shengmatang but also provides a comprehensive perspective and fresh ideas for understanding its clinical application.

Based on advancements in modern medical research regarding the intricate connection between the endocrine and exocrine functions of the pancreas， as well as the relationship between pancreatic functions and traditional Chinese medicine （TCM） spleen system， this paper discussed the categorization of the pancreas. It is proposed that the pancreas is neither a true zang organ nor a fu organ， but possessed the attributes of an extraordinary fu-organ and can be classified under the spleen. The spleen governs transportation and transformation， ascent of the clear and dispersion of essence， which encompasses the endocrine and exocrine functions， and pancreatic enzymes and glucose-regulating hormones form the material basis for the spleen's function of dispersing essence. Diseases of the pancreas exhibit characteristics of both zang-organ deficiency and fu-organ excess， so treatment should simultaneously supplement zang-organ disease and regulate fu-organ disease when pancreas showing endocrine and exocrine co-morbidities， with focus on restoring the pancreas （spleen）'s dispersing essence function. Therapeutic strategies include supplementing spleen qi， nourishing spleen yin to strengthen spleen earth， unblocking spleen collaterals， raising spleen yang， and removing spleen turbidity to support the spleen's dispersing essence function， so as to replenish the essential qi of zang-fu organs， ensure their distribution throughout the body， and improve the endocrine and exocrine functions of the pancreas.

ObjectiveTo investigate the influencing factors for traditional Chinese medicine （TCM） syndromes in pancreatic cancer by analyzing 608 cases， and to provide a theoretical reference for TCM syndrome differentiation and standardized treatment of pancreatic cancer. MethodsA total of 608 patients with a pathological or clinical diagnosis of pancreatic cancer who were admitted to Shanxi Institute of Traditional Chinese Medicine， The Affiliated Hospital of Shanxi University of Chinese Medicine， and Shanxi Provincial Hospital of Integrated Traditional Chinese and Western Medicine from January 2019 to December 2023 were enrolled， and TCM syndrome differentiation was performed. The chi-square test was used for comparison of categorical data between groups. The clinical data with statistical significance between groups were included in the regression analysis， and the unordered polytomous logistic regression model was used to investigate the influencing factors for the TCM syndrome of pancreatic cancer. ResultsFor the 608 patients with pancreatic cancer， common initial symptoms included abdominal pain （32.40%）， abdominal distension （23.85%）， fatigue （16.12%）， and emaciation （10.03%）， and the main clinical symptoms included poor appetite （75.97%）， abdominal pain （67.27%）， fatigue （61.84%）， abdominal distension （57.40%）， and emaciation （53.62%）. There were significant differences between the patients with different TCM syndromes of pancreatic cancer in sex （χ²=62.823， P<0.001）， disease duration （χ²=14.868， P=0.011）， clinical stage （χ²=21.006， P<0.001）， lymph node metastasis （χ²=2.205， P=0.032）， surgery （χ²=38.008， P<0.001）， chemotherapy （χ²=21.384， P<0.001）， radiotherapy （χ²=17.510， P=0.004）， and immunotherapy （χ²=18.573， P=0.002）. The logistic regression analysis showed that male sex was a protective factor against Qi and blood deficiency syndrome （odds ratio ［OR］=0.081， 95% confidence interval ［CI］： 0.031‍ ‍—‍ ‍0.213， P<0.001）， Qi stagnation and blood stasis syndrome （OR=0.100， 95%CI： 0.041‍ ‍—‍ ‍0.247， P<0.001）， and syndrome of Yin deficiency with internal heat （OR=0.158， 95%CI： 0.057‍ ‍—‍ ‍0.444， P<0.001）， while it was a risk factor for the syndrome of damp-heat accumulation （OR=2.378， 95%CI： 1.074‍ ‍—‍ ‍5.266， P=0.033）； the course of the disease of<1 year was a protective factor against Qi and blood deficiency syndrome （OR=0.167， 95%CI： 0.073‍ ‍—‍ ‍0.383， P<0.001）， syndrome of spleen-kidney Yang deficiency （OR=0.183， 95%CI： 0.089‍ ‍—‍ ‍0.378， P<0.001）， and syndrome of Yin deficiency and internal heat （OR=0.164， 95%CI： 0.070‍ ‍—‍ ‍0.385， P<0.001）； clinical stage Ⅰ/Ⅱ/Ⅲ was a risk factor for damp-heat accumulation （OR=2.793， 95%CI： 1.259‍ ‍—‍ ‍6.196， P=0.012） and Qi stagnation and blood stasis syndrome （OR=7.863， 95%CI： 2.808‍ ‍—‍ ‍22.020， P<0.001）； lymph node metastasis was a risk factor for Qi and blood deficiency syndrome （OR=4.005， 95%CI： 1.477‍ ‍—‍ ‍10.861， P=0.006）； surgical treatment was a risk factor for Qi and blood deficiency syndrome （OR=4.151， 95%CI： 1.916‍ ‍—‍ ‍8.995， P<0.001）， syndrome of spleen-kidney yang deficiency （OR=5.352， 95%CI： 2.436‍ ‍—‍ ‍11.759， P<0.001）， Qi stagnation and blood stasis syndrome （OR=2.334， 95%CI： 1.071‍ ‍—‍ ‍5.088， P=0.033）， and syndrome of Yin deficiency and internal heat （OR=4.167， 95%CI： 1.789‍ ‍—‍ ‍9.707， P<0.001）； chemotherapy was a protective factor against damp-heat accumulation （OR=0.188， 95%CI： 0.082‍ ‍—‍ ‍0.428， P<0.001）； radiotherapy was a risk factor for damp-heat accumulation （OR=2.571， 95%CI： 1.151‍ ‍—‍ ‍5.746， P=0.021） and syndrome of Yin deficiency with internal heat （OR=8.384， 95%CI： 3.348‍ ‍—‍ ‍20.997， P<0.001）； immunotherapy was a risk factor for Qi and blood deficiency syndrome （OR=2.114， 95%CI： 1.021‍ ‍—‍ ‍4.379， P=0.044）. ConclusionSex， course of the disease， clinical stage， presence or absence of lymph node metastasis， surgery， chemotherapy， radiotherapy， and immunotherapy are the main influencing factors for the TCM syndrome of pancreatic cancer.

Background Air pollution exposure has a significant impact on maternal and child health. However, the research on the association between ambient ozone (O₃) exposure during pregnancy and the risk of premature birth in newborns is limited, and the conclusions are inconsistent. Objective To investigate the association of ambient O₃ exposure during pregnancy with the risk of preterm birth in Guangdong Province. Methods Data of pregnant women in Guangzhou from 2013 to 2019 and Foshan from 2018 to 2023 were collected, and O₃ concentrations during different trimesters were assessed according to maternal residential addresses. Bilinear interpolation was used to evaluate the concentrations of air pollution. A cohort study design was adopted in our study. Restricted cubic spline curves were used to evaluate the exposure-response relationship between O₃ exposure and preterm birth risk and explore potential exposure threshold of O₃. Logistic regression models were used to evaluate the association of O₃ exposure with preterm birth. Results A total of 702 924 pregnant women were included in this study, of whom 43 051 (6.12%) were preterm. The average O₃ exposure concentrations of pregnant women during the first, second, third, and whole trimesters were 95.51, 97.51, 100.60, and 97.87 μg·m⁻³, respectively. We observed J-shaped associations between O₃ exposure and preterm birth risk during the second, third, and whole trimesters of pregnancy using restricted cubic spline curves. This study found that there were threshold concentrations between O₃ exposure and preterm birth risk during different gestational periods, and the threshold concentrations in the first, second, third, and whole trimesters were 112.32, 99.83, 111.74, and 112.46 μg·m⁻³, respectively. During the second, third, and whole trimesters of pregnancy, after adjusting for maternal age, baby sex, pre-pregnancy body mass index, mode of delivery, baby birth weight, gestational diabetes, and gestational hypertension, the odds ratios (OR) of preterm birth were 1.02 (95%CI: 1.01, 1.04), 1.02 (95%CI: 1.00, 1.03), and 1.17 (95%CI: 1.13, 1.21) for each 10 μg·m⁻³ increase in O₃ concentration above the O₃ threshold. No significant association was found between O₃ exposure and the risk of preterm birth during the first trimester. Conclusion There is a nonlinear association between the risk of preterm birth and O₃ exposure during pregnancy, and higher concentrations of O₃ exposure during pregnancy are associated with the risk of preterm birth. Above the O₃ threshold concentration during pregnancy, especially during the second, third, and whole trimesters, the risk of preterm birth elevates with the increase of O₃ exposure concentrations.

Objective To explore the correlation between pre-pregnancy body mass index (BMI) and the risk of difficult airway during labor and delivery through grading changes of Mallampati test (MT). Methods A total of 354 primiparous women who delivered at Obstetrics and Gynecology Hospital of Fudan University from October 2020 to April 2021 were enrolled and categorized into low BMI, normal BMI, and high BMI groups based on pre-pregnancy BMI. Changes in MT grading were analyzed during early labor, postpartum (20 minutes to 1 hour after placental delivery), and 48 hours postpartum. A multifactor logistic regression model was used to analyze the factors increased MT grading postpartum. Results Among the 354 participants, 97 (27.4%) exhibited increased MT grading postpartum, with the proportion of women classified as MT grade 3-4 rising from 39 (11.0%) during early labor to 77 (21.8%) postpartum. By 48 hours postpartum, the number of women with MT grade 3-4 decreased to 21 (5.9%). Multifactor logistic regression analysis showed that low pre-pregnancy BMI (vs high BMI: OR＝2.15, 95%CI 1.02-4.53, P＝0.045) and snoring history during pregnancy (OR＝2.32, 95% CI 1.38-3.90, P＝0.001) were independent risk factors for postpartum MT grading elevation. Conclusions MT grading might increase postpartum in parturients, with low pre-pregnancy BMI and prenatal snoring history identified as significant risk factors for elevated MT grading after delivery.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome