1.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
2.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.
3.A systematic review on the integrated application of evidence-based narrative education and undergraduate nursing teaching
Nannan BAI ; Meng LI ; Qian LIANG ; Chou YAO ; Yan WANG ; Ju HAN ; Chenyang HOU ; Nana XING
Chinese Medical Ethics 2026;39(2):229-237
ObjectiveTo systematically evaluate the application of narrative education in undergraduate nursing teaching, to understand the current application status of narrative education, and to provide a theoretical basis for the subsequent establishment of a sound narrative education system. MethodsA systematic search was conducted for studies published in Chinese and English databases on applying narrative education to undergraduate nursing teaching, with the search period ranging from database inception to February 23, 2025. Literature was screened, and relevant information was extracted. A rigorous quality evaluation was conducted on the included studies, and a descriptive analysis was performed on their content. ResultsA total of 20 papers were included, involving 3,180 research subjects, all of whom were undergraduate nursing students. The results of descriptive analysis showed that the teaching model of narrative education primarily encompassed reading narrative works, watching films and videos, performing narrative scenarios, and writing reflective journals. The course setting and content covered pre-teaching preparation and in-teaching implementation. The evaluation of teaching effectiveness included the evaluation of teachers’ teaching methods (student evaluation/self-evaluation) and the evaluation of students’ learning effectiveness (course grade evaluation/humanistic care scale/empathy scale assessment, and others). ConclusionNarrative education combines abstract concepts with concrete clinical situations, which not only enriches students’ learning experiences but also enhances their humanistic literacy. Meanwhile, it provides teachers with opportunities to develop their narrative teaching skills, which requires them to possess profound professional knowledge and employ narrative techniques to guide students in reflection and critical thinking, thereby improving teaching quality and learning outcomes. Future efforts should consistently deepen the connotation research of narrative education and build a systematic nursing education system.
4.Analysis of unexamined items in physical examinations of radiation workers at an occupational health examination institution in Henan Province, China, 2023
Lihong MA ; Fengling ZHAO ; Yuzheng LI ; Han LIU ; Yumin LV
Chinese Journal of Radiological Health 2026;35(1):12-17
Objective To analyze the unexamined items and situations in occupational health examinations of radiation workers, and provide a reference for the revision of occupational health examination standards for radiation workers. Methods A total of 29 630 radiation workers who underwent occupational health examinations at The Third People’s Hospital of Henan Province in 2023 were selected, and the non-examination rates were statistically analyzed according to occupation, gender, and age. Results The overall non-examination rate of non-medical radiation workers was significantly lower than that of the medical radiation workers (P<0.05). The non-examination rate of chest X-rays among medical radiation workers was significantly higher than that of non-medical radiation workers (P<0.05), while no significant differences were found in other items (P>0.05). Gender-stratified analysis showed that the non-examination rate of routine urine tests was higher in females than in males in both medical and non-medical radiation workers (P<0.05). Age-stratified analysis revealed no significant differences in non-examination rates among different age groups in non-medical radiation workers (P>0.05), whereas the chest X-ray non-examination rate was relatively high in medical radiation workers under 30 years old (P<0.05). Conclusion Significant differences were observed in the non-examination rates of occupational health examinations among radiation workers based on occupation, gender, and age. The overall non-examination rate was relatively low in non-medical radiation workers.
5.Management and practice of ethical review for “amendment” in drug clinical trials
Xingyi LI ; Zhonglin CHEN ; Xingchi QU ; Yu FENG ; Huihui HAN
Chinese Medical Ethics 2026;39(1):58-63
Driven by the growing practical need to accelerate drug development and the continuous innovation of trial design in recent years, the number of protocol amendments during clinical trials have gradually increased, and the changed contents have become more flexible and complex, which significantly heightens the difficulty of ethical review on amendments. Against this backdrop, it is of great importance to fully leverage the role and responsibilities of ethics committees, effectively control clinical trial risks, and ensure subject safety. This paper analyzed development trends of protocol amendments in recent years, sorted out requirements for protocol amendments in Chinese regulations and guiding principles, and examined difficulties of amendment ethical review in practical work. Based on these, targeted strategies and recommendations were proposed, namely, strengthening the integration with scientific review, enhancing the formal review, adjusting the scope of review according to approval notifications, and adopting appropriate review methods, with a view to providing insights and references for the management of the amendment ethical review in drug clinical trials.
6.Mechanism of Shenfu Xiongze Prescription in Regulating Autophagy Level to Intervene in Myocardial Remodeling in Rats via AMPK/mTOR Signaling Pathway
Xueqing WANG ; Wei ZHONG ; Liangliang PAN ; Caihong LI ; Man HAN ; Xiaowei YANG ; Yuanwang YU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):136-144
ObjectiveTo explore the mechanism by which the Shenfu Xiongze prescription regulates autophagy in rats with myocardial remodeling through the adenosine monophosphate-activated protein kinase (AMPK)/mammalian target of rapamycin (mTOR) signaling pathway. MethodsA rat model of myocardial remodeling induced by isoprenaline (ISO) was established. Rats were divided into the blank group,the model group,the low-,medium-, and high-dose groups of Shenfu Xiongze prescription,and the captopril group, 6 rats in each group. Except for the blank group,the rat model of myocardial remodeling was established in the other groups by intraperitoneal injection of 2.5 mg·kg-1 ISO for 3 consecutive weeks. At the same time of modeling, the low-,medium-, and high-dose groups of Shenfu Xiongze prescription were administered the corresponding doses of Shenfu Xiongze prescription solution (8.4,16.8,and 33.6 g·kg-1),and the captopril group was administered captopril solution (25 mg·kg-1). As for the blank group and the model group, the same volume of normal saline was given. The treatment was continued for 3 weeks. Echocardiography was used to observe the cardiac structure and function,and the heart weight index was detected. Masson staining and hematoxylin-eosin (HE) staining were used to observe the pathological morphology changes of myocardial tissue. The levels of interleukin-6 (IL-6) and B-type natriuretic peptide (BNP) in serum were detected by enzyme-linked immunosorbent assay (ELISA). The expression of type Ⅰ collagen (Collagen Ⅰ),type Ⅲ collagen (Collagen Ⅲ),and microtubule-associated protein 1 light chain 3 (LC3) proteins in myocardial tissue was determined by immunohistochemistry. Autophagy was observed by transmission electron microscopy. The mRNA expression of Collagen Ⅰ,Collagen Ⅲ,α-smooth muscle actin (α-SMA),LC3,yeast Atg6 homolog protein (Beclin-1),AMPK,and mTOR in myocardial tissue was detected by quantitative real-time polymerase chain reaction (real-time PCR). The protein expression of Collagen Ⅰ,α-SMA,transforming growth factor-β1 (TGF-β1),LC3,Beclin-1,p62, phosphorylation(p)-AMPK,p-mTOR,AMPK,and mTOR was detected by Western blot. ResultsCompared with the normal group,rats in the model group exhibited significantly decreased values of ejection fraction (EF) and left ventricular fractional shortening (FS) (P<0.01), significantly increased values of left ventricular end-diastolic diameter (LVIDd) and left ventricular end-systolic diameter (LVIDs) (P<0.01). Additionally, the model group also showed increased degrees of inflammatory infiltration and fibrosis of myocardial tissue, significantly elevated levels of serum IL-6 and BNP (P<0.01), significantly increased mRNA and protein levels of Collagen Ⅰ,Collagen Ⅲ,α-SMA,and mTOR (P<0.01),and markedly decreased mRNA and protein levels of LC3,Beclin-1,and AMPK (P<0.05,P<0.01). Compared with the model group, the low-,medium-, and high-dose groups of Shenfu Xiongze prescription presented significantly elevated EF and FS values (P<0.01) and lowered LVIDd and LVIDs (P<0.05). In these groups, the inflammation and fibrosis were alleviated significantly. They also exhibited decreased serum levels of IL-6 and BNP (P<0.01), significantly reduced protein expression of Collagen Ⅰ, α-SMA, TGF-β1, p62, and p-mTOR (P<0.01), significantly decreased mRNA expression of Collagen Ⅰ, Collagen Ⅲ, α-SMA, and mTOR (P<0.01), and significantly increased mRNA and protein levels of LC3, Beclin-1, and AMPK (P<0.05,P<0.01). ConclusionThe Shenfu Xiongze prescription can improve the myocardial remodeling induced by ISO in rats by regulating the autophagy level,enhance cardiac function,and reduce inflammatory and fibrotic levels. This effect may be achieved through the AMPK/mTOR signaling pathway.
7.Joint Relation Extraction of Famous Medical Cases with CasRel Model Combining Entity Mapping and Data Augmentation
Yuxin LI ; Xinghua XIANG ; Hang YANG ; Dasheng LIU ; Jiaheng WANG ; Zhiwei ZHAO ; Jiaxu HAN ; Mengjie WU ; Qianzi CHE ; Wei YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):218-225
ObjectiveTo address the challenges of unstructured classical Chinese expressions, nested entity relationships, and limited annotated data in famous traditional Chinese medicine(TCM) case records, this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping, aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction(CasRel) model for TCM semantics was designed, integrating a pre-trained bidirectional encoder representations from transformers(BERT) layer for classical TCM texts to enhance semantic representation, and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model, combining data augmentation and entity mapping, outperformed the pipeline-based Bert-Radical-Lexicon(BRL)-bidirectional long short-term memory(BiLSTM)-Attention model. The overall precision, recall, and F1-score across 12 relation types reached 65.73%, 64.03%, and 64.87%, which represent improvements of 14.26%, 7.98%, and 11.21% compared to the BRL-BiLSTM-Attention model, respectively. Notably, the F1-score for tongue syndrome relations increased by 22.68%(69.32%), and the prescription-syndrome relations performed the best with the F1-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts, offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation, prescription optimization, and drug compatibility, providing a methodological reference for TCM artificial intelligence research.
8.Exploration in Mechanism of Sini San for Inhibiting Ferroptosis and Ameliorating Isoprenaline-induced Myocardial Infarction in Mice Based on Bioinformatics and Experimental Validation
Shupeng LIU ; Zhiguang HAN ; Jiaying LI ; Jiayao XU ; Weihao GAO ; Yanping WU ; Guangguo BAN ; Yongmin LI ; Hongxia YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):67-77
ObjectiveTo explore the mechanism by which Sini San (SNS) inhibits ferroptosis, alleviates inflammation and myocardial injury, and improves myocardial infarction (MI). MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform (TCMSP) database, its target sites were predicted using the SwissTargetPrediction Database, and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards, Online Mendelian Inheritance in Man (OMIM) database, DrugBank, Therapeutic Target Database (TTD), FerrDb database and literature review, respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction (PPI) network was constructed using the STRING database, and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in, and the biological functions were clustered by the MCODE plug-in. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group, the model group, the SNS group, and the trimetazidine (TMZ) group. The mice were subcutaneously injected with isoprenaline (ISO, 5 mg·kg-1·d-1) to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram (ECG), and the tissue morphology changes were observed by hematoxylin-eosin (HE) staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase (CK), creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), reduced glutathione (GSH), and malondialdehyde (MDA) levels were detected by biochemical assay. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of interleukin (IL)-6 and 4-hydroxynonenal (4-HNE). Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 (p-STAT3) in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6, IL-18, solute carrier family 7 member 11 (SLC7A11), arachidonic acid 15-lipoxygenase (ALOX15), and glutathione peroxidase 4 (GPx4) in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained, and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation, and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 (P0.01), down-regulated the expression of ALOX15 mRNA (P0.01), up-regulated the level of serum GSH, and the expressions of SLC7A11 and GPx4 mRNA, reduced MDA and 4-HNE levels (P0.05, P0.01). Additionally, SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis, reduced the area of MI, alleviated inflammation and myocardial injury, lowered the levels of serum CK, CK-MB, LDH, IL-6, and the mRNA expression levels of IL-16 and IL-18 (P0.05), and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels, inhibit ferroptosis in cardiomyocytes, alleviate inflammation and myocardial injury, thereby improving MI.
9.Exploration in Mechanism of Sini San for Inhibiting Ferroptosis and Ameliorating Isoprenaline-induced Myocardial Infarction in Mice Based on Bioinformatics and Experimental Validation
Shupeng LIU ; Zhiguang HAN ; Jiaying LI ; Jiayao XU ; Weihao GAO ; Yanping WU ; Guangguo BAN ; Yongmin LI ; Hongxia YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):67-77
ObjectiveTo explore the mechanism by which Sini San (SNS) inhibits ferroptosis, alleviates inflammation and myocardial injury, and improves myocardial infarction (MI). MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform (TCMSP) database, its target sites were predicted using the SwissTargetPrediction Database, and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards, Online Mendelian Inheritance in Man (OMIM) database, DrugBank, Therapeutic Target Database (TTD), FerrDb database and literature review, respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction (PPI) network was constructed using the STRING database, and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in, and the biological functions were clustered by the MCODE plug-in. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group, the model group, the SNS group, and the trimetazidine (TMZ) group. The mice were subcutaneously injected with isoprenaline (ISO, 5 mg·kg-1·d-1) to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram (ECG), and the tissue morphology changes were observed by hematoxylin-eosin (HE) staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase (CK), creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), reduced glutathione (GSH), and malondialdehyde (MDA) levels were detected by biochemical assay. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of interleukin (IL)-6 and 4-hydroxynonenal (4-HNE). Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 (p-STAT3) in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6, IL-18, solute carrier family 7 member 11 (SLC7A11), arachidonic acid 15-lipoxygenase (ALOX15), and glutathione peroxidase 4 (GPx4) in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained, and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation, and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 (P0.01), down-regulated the expression of ALOX15 mRNA (P0.01), up-regulated the level of serum GSH, and the expressions of SLC7A11 and GPx4 mRNA, reduced MDA and 4-HNE levels (P0.05, P0.01). Additionally, SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis, reduced the area of MI, alleviated inflammation and myocardial injury, lowered the levels of serum CK, CK-MB, LDH, IL-6, and the mRNA expression levels of IL-16 and IL-18 (P0.05), and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels, inhibit ferroptosis in cardiomyocytes, alleviate inflammation and myocardial injury, thereby improving MI.
10.Effect of Qingfei Shenshi Decoction (清肺渗湿汤) Combined with Western Medicine on Clinical Effectiveness and Immune Function for Patients with Bronchial Asthma of Heat Wheezing Syndrome
Ying SUN ; Haibo HU ; Na LIU ; Fengchan WANG ; Jinbao ZONG ; Ping HAN ; Peng LI ; Guojing ZHAO ; Haoran WANG ; Xuechao LU
Journal of Traditional Chinese Medicine 2026;67(1):38-44
ObjectiveTo observe the clinical effectiveness and safety of Qingfei Shenshi Decoction (清肺渗湿汤) combined with western medicine for patients with bronchial asthma of heat wheezing syndrome, and to explore its potential mechanism of action. MethodsEighty-six participants with bronchial asthma of heat wheezing syndrome were randomly divided into treatment group and control group, each group with 43 participants. The control group received conventional western medicine, and the treatment group was additionally administered Qingfei Shenshi Decoction orally on the basis of the control group, 1 dose per day. Both groups were treated for 14 days. The primary outcome measure was clinical effectiveness; secondary outcome measures included traditional Chinese medicine (TCM) syndrome score, asthma control test (ACT) score, pulmonary function indices such as forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF), serum inflammatory factor levels including interleukin-4 (IL-4), tumour necrosis factor-α (TNF-α), and high-sensitivity C-reactive protein (hs-CRP), and immune function indices including CD3+, CD4+, CD8+, CD4+/CD8+. All outcome measures were evaluated before and after treatment. Vital signs were monitored, and electrocardiography, blood routine, urine routine, liver function, and renal function tests were performed before and after treatment. Adverse events and reactions during the study were recorded. ResultsA total of 80 patients completed the trial with 40 in each group. The total clinical effective rate of the treatment group was 97.5% (39/40), which was significantly higher than that of the control group (85.0%, 34/40, P<0.05). After treatment, both groups showed decreased TCM syndrome scores, IL-4, TNF-α, hs-CRP, and CD8+ levels, as well as increased ACT scores, CD3+, CD4+, CD4+/CD8+, FEV1, FVC, and PEF levels (P<0.05 or P<0.01). Moreover, the improvements in these indices were more significant in the treatment group than in the control group (P<0.05 or P<0.01). No significant abnormalities in safety indicators were observed in either group, and no adverse events or reactions occurred. ConclusionQingfei Shenshi Decoction combined with conventional western medicine for patients with bronchial asthma of heat wheezing syndrome can effectively improve the clinical symptoms, pulmonary function, and clinical effectiveness, with good safety. Its mechanism may be related to reducing inflammatory factor levels and regulating T lymphocyte subsets to improve immune function.

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