1.Expert Consensus on Clinical Application of Qidong Yixin Oral Liquid
Changkuan FU ; Xiaochang MA ; Mingjun ZHU ; Yue DENG ; Hongxu LIU ; Mingxue ZHANG ; Ying CHEN ; Yan ZHOU ; Ling ZHANG ; Jianhua FU ; Wei YANG ; Yu'er HU ; Ming CHEN ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):147-158
The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis (VMC). It has the functions of tonifying Qi, nourishing the heart,calming the mind, and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However,the understanding of its efficacy evidence, advantageous aspects, dosage and administration, and medication safety remains insufficient in clinical practice. Therefore,the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid (hereinafter referred to as consensus) was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine,successively completing multiple tasks such as the consensus project initiation,determination of clinical problems,evidence search and evaluation,formation of recommendation opinions and consensus suggestions,solicitation of opinions,peer review, submission for review and release, and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions,clarifying the clinical positioning,efficacy advantages,syndrome differentiation,dosage and administration,combination therapy,timing of medication,adverse reactions,contraindications, and precautions of Qidong Yixin oral liquid,indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease,providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23, 2024. Standard number:GSCACM-376-2024.
2.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.
3.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
4.Mental health status and influencing factors among the elderly in Hubei Province
Chenlu YANG ; Shuzhen ZHU ; Yang LI ; Jin LIU ; Shuhua ZHOU
Journal of Public Health and Preventive Medicine 2026;37(1):93-97
Objective To investigate the prevalence, distribution characteristics, and influencing factors of mental health problems among the elderly, and to provide a scientific basis for policy-making. Methods A convenience sampling method was used to investigate depression, anxiety, and cognitive function among permanent residents aged 65 and older at 59 mental health care sites for the elderly in Hubei Province. Multinomial logistic regression was employed to analyze influencing factors. Results The screening rates for depression, anxiety, and cognitive function at critical/high-risk levels among the elderly in Hubei Province were 9.7%, 5.4%, and 12.2%, respectively. Urban elderly had lower risks of depression and cognitive function at critical/high-risk levels compared to rural elderly (OR for critical depression = 0.640, P < 0.001; OR for high-risk depression = 0.595, P = 0.012; OR for critical cognitive function = 0.448, P < 0.001; OR for high-risk cognitive function = 0.188, P < 0.001). Six key population groups had higher risks of depression, anxiety, and cognitive function at critical/high-risk levels than others (OR for critical depression = 1.463, P < 0.001; OR for high-risk depression = 1.912, P < 0.001; OR for critical anxiety = 1.462, P < 0.001; OR for high-risk anxiety = 2.882, P < 0.001; OR for critical cognitive function = 1.381, P < 0.001; OR for high-risk cognitive function = 2.345, P < 0.001). A higher number of chronic diseases was associated with increased risks of critical and high-risk depression (OR for critical = 1.316, P < 0.001; OR for high-risk = 3.677, P < 0.001) and cognitive impairment (OR for critical depression = 1.316, P < 0.001; OR for high-risk depression = 3.677, P < 0.001; OR for critical anxiety = 1.512, P < 0.001; OR for high-risk anxiety = 1.801, P < 0.001). Conclusion It is recommended to expand mental health care sites in rural areas, improve the layout of mutual-support elderly care facilities, and explore sustainable models for rural elderly care. Efforts should also focus on enhancing social participation among the elderly through community-based activities, and strengthening cognitive screening and emotional regulation interventions, with particular attention to the mental health needs of older, isolated, and chronically ill individuals.
5.Construction and characterization of recombinant human coagulation factor Ⅶ stable transfected cell lines
Xiaoxiao LI ; Jiabin CHEN ; Jiajun LIU ; Zhifei ZHANG ; Sen ZOU ; Lihua ZHU ; Zhaoyong YANG
Acta Universitatis Medicinalis Anhui 2026;61(1):16-22
ObjectiveTo construct a stable monoclonal human embryonic kidney 293 (HEK293) cell line expressing recombinant human coagulation factor Ⅶ (rhFⅦ) and evaluate the expression level and procoagulant bioactivity of rhFⅦ. MethodsThe plasmid pCDNA3.1-EGFP-FⅦ was transfected into HEK293 cells to verify the effectiveness of the transfection system. The plasmid pCDNA3.1-FⅦ was transfected into HEK293 cells, and monoclonal stable transfected cell lines were selected using geneticin (G418). The transcription of the FⅦ gene was identified by reverse transcription polymerase chain reaction (RT-PCR). The expression level of rhFⅦ in the supernatant of the monoclonal stable transfected cell line was detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and Western blot. The concentration of rhFⅦ was determined by enzyme-linked immunosorbent assay (ELISA), and the procoagulant activity of rhFⅦ was measured by human coagulation factor Ⅶ potency assay. ResultsHEK293 cells transfected with pcDNA3.1-EGFP-FⅦ showed green fluorescence, indicating that rhFⅦ was successfully expressed in the supernatant of HEK293 cells after transient transfection with pcDNA3.1-FⅦ. The monoclonal stable transfected cell line was obtained by G418 screening. RT-PCR identified that the FⅦ gene was integrated into the genome of the monoclonal stable transfected cell line. The cell viability was good as detected by Cell Counting Kit-8, and a single band of rhFⅦ was obtained by purification of the cell supernatant. The highest rhFⅦ expression was (1.27±0.09) mg/L, and the highest procoagulant activity was (380.29±13.80)%. ConclusionThe monoclonal HEK293 cell lines which can express rhFⅦ protein efficiently and stably with excellent procoagulant bioactivity is successfully screened.
6.Mechanistic study on ITGA6 regulation of abdominal wall endometriosis via the PI3K/AKT signaling pathway
Rong GU ; Hailiang HUANG ; Xinrui WANG ; Hanlu LI ; Kaijiang LIU ; Ying ZHU
Acta Universitatis Medicinalis Anhui 2026;61(1):67-74
ObjectiveTo investigate the differential expression of integrin alpha-6(ITGA6) in abdominal wall endometriosis (AWE) tissues and its molecular mechanisms in regulating AWE. Methods36 AWE lesions were designated as the experimental group, while 36 cases of normal endometrial tissues served as the controls. Differential expression of ITGA6 between the two groups was assessed through immunohistochemical (IHC) staining. Human ITGA6 gene-specific interference sequences were designed, synthesized, and packaged into lentiviral vectors to establish the Ishikawa cell line with ITGA6-knockdown. Similarly, the ITGA6-overexpression cell line was constructed using the coding sequence (CDS) of the gene. Real-time PCR and Western blot were performed to detect changes in epithelial-mesenchymal transition(EMT)-related markers and angiogenesis-related indicators. Cell invasion and migration capabilities were assessed by Cell Scratch and Transwell assays. Furthermore, Western blot was conducted to profile PI3K/AKT pathway dynamics. ResultsEctopic endometrial tissues exhibited a marked increase in the number of ITGA6-positive cells and their expression intensity compared to eutopic endometrium (each P < 0.001). Compared with the NC group, the ITGA6-knockdown group showed significantly reduced expression of N-cadherin, VEGF, and TGF-β1 (all P < 0.01), while E-cadherin expression was markedly increased (P < 0.01). Concomitantly, the invasion and migration capacities of ITGA6-low expression were significantly impaired (P < 0.001 for both), accompanied by a marked reduction in AKT and phosphorylated AKT(p-AKT) levels (P < 0.001). Conversely, overexpressing ITGA6 resulted in opposite effects. ConclusionITGA6 modulates EMT and angiogenesis in Ishikawa cells via the PI3K/AKT signaling pathway, thereby enhancing cell invasion and migration capabilities, which contributes to the pathogenesis of AWE.
7.Analysis of Blood-absorbed Components and Their Metabolic Differences of Xiebaisan in Normal and Chronic Bronchitis Mice Based on UPLC-Q-Exactive Orbitrap MS
Peng PENG ; Jiaxin LI ; Xinyue YANG ; Fangle LIU ; Chenchen ZHU ; Chaozhan LIN ; Yufeng YAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):219-227
ObjectiveThis study aims to systematically analyze the blood-absorbed components and metabolic profiles of Xiebaisan(XBS) in normal and chronic bronchitis (CB) mice using ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS), while comparing differences between the two states. MethodsThirty female BABL/c mice were randomly divided into the normal group, the normal drug administration group, the CB group, the CB drug administration group and the dexamethasone group, with 6 mice in each group. The CB mouse model was established by inducing with ovalbumin (OVA). The mice in the normal drug administration group and the CB drug administration group started to be gavaged with XBS(13.2 g·kg-1) from the 21st day, and the dexamethasone group mice were simultaneously gavaged with dexamethasone (0.5 mg·kg-1) until the end of the 35th day of the experiment. Subsequently, serum samples were collected and evaluated for their efficacy, based on the pharmacological evaluation indicators, to determine the efficacy of XBS in treating CB. Then the UPLC-Q-Exactive Orbitrap MS was employed to identify and analyze the chemical constituents, blood-absorbed components, and metabolites of XBS. Chemometric analysis was conducted to reveal metabolic profile differences under "dual states". Concurrently, Real-time PCR technology was utilized to detect the expression levels of key liver metabolic enzymes CYP2E1, CYP3A1, UGT1A1, and UGT1A6. ResultsA total of 28 prototype components and 158 metabolites (including 48 phase Ⅰ metabolites and 110 phase Ⅱ metabolites) of XBS were unambiguously identified in the serum of normal mice. Additionally, a comprehensive characterization was performed on a total of 32 prototype components and 178 metabolites (including 50 phase Ⅰ metabolites and 128 phase Ⅱ metabolites) of XBS in the serum of CB mice. Among them, 27 prototype components were detected in both states, including 12 flavonoids, 2 alkaloids, 3 triterpenes, 4 organic acids, 3 amides, 1 stilbene and 2 other compounds. The chemometrics analysis revealed no significant difference in the prototype components and metabolites of XBS between normal and CB mice; however, there was a significant increase in the in-vivo exposure of XBS in CB mice. Compared to normal mice, the levels of phase Ⅰ metabolites such as oxidation, reduction and methylation of blood components of XBS as well as phase Ⅱ metabolites of glucuronidation showed significant changes in CB mice. Real-time PCR further confirmed that these alterations were attributed to the upregulation of CYP2E1 (P<0.05), CYP3A1 (P>0.05), UGT1A1 (P<0.01) and UGT1A6 (P<0.01) enzymes expression in the liver of CB mice. ConclusionThis study elucidated the disparities in the levels of the blood-absorbed components and metabolic profiles of XBS in normal and CB mice, especially in oxidation, reduction, methylation in phase Ⅰ metabolism and glucoaldehyde acidification in phase Ⅱ metabolism. And there are related to the differences in the expression levels of phase Ⅰ and phase Ⅱ metabolic enzymes CYP2E1, CYP3A1, UGT1A1 and UGT1A6 in the liver.
8.Research Progress on Tumor Microenvironment in Lung Cancer Spine Metastasis
Hongyang FU ; Yizhi LIU ; Yitong SHE ; Yaxin DU ; Ruixia WU ; Manglai LI ; Yong ZHU
Cancer Research on Prevention and Treatment 2026;53(2):158-164
The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.
9.Status of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023
ZHU Shu, GUO Hua, LI Hongbo, SHI Zhu, WU Shengnan, HUANG Yiyanwen, SUN Yan, LIU Yiya
Chinese Journal of School Health 2026;47(2):178-182
:
To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization.
Methods:
In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency.
Results:
The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05).
Conclusions
Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.
10.Impact of number of positive regional lymph nodes in N1 stage on the prognosis of patients with non-small cell lung cancer: A propensity score matching study
Dandan LIU ; Jiachen WANG ; Lidan CHANG ; Jia CHEN ; Ranran KONG ; Shiyuan LIU ; Minxia ZHU ; Jiantao JIANG ; Shaomin LI ; Zhengshui XU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(01):63-71
Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.


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