ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Background Existing studies have confirmed that fine particulate matter (PM_2.5)is one of the important factors inducing pulmonary fibrosis. Pulmonary fibrosis is the terminal stage of a major category of lung diseases characterized by the destruction of tissue structure, and eventually leading lung ventilation and ventilation dysfunction. No effective pulmonary fibrosis treatment is available yet. Objective To investigate the protective effect of salidroside on pulmonary fibrosis induced by the exposure of PM_2.5 and its molecular mechanism. Methods Seventy 7-week-old male C57BL/6 mice were randomly divided into four groups: control group (intratracheal instillation of normal saline + saline by gavage, n=25), Sal group (intratracheal instillation of normal saline + Sal 60 mg·kg⁻¹ by gavage, n=10), PM_2.5 group (intratracheal instillation of PM_2.5 5 mg·kg⁻¹ + saline by gavage, n=10), and Sal + PM_2.5 group (intratracheal instillation of PM_2.5 5 mg·kg⁻¹ +Sal 60 mg·kg⁻¹ by gavage, n=10). The mice were administered by gavage once daily, intratracheal instillation once every 3 d, and every 3 d constituted an experimental cycle. At the end of the 26-30th cycles, 3 mice in the control group and 3 mice in the PM_2.5 group were randomly sacrificed, and the lung tissues were collected for Masson staining to verify whether the pulmonary fibrosis model was successfully established. After 30 cycles, the model was successfully constructed. After 1 week of continuous observation, the mice were sacrificed, and the blood and lung tissues of the mice were collected to make lung tissue sections. Assay kits were correspondingly employed to detect oxidative stress indicators such as serum malondialdehyde (MDA) and superoxide dismutase (SOD). Western blotting was used to detect the expression of fibrosis-related proteins (Collagen-III, α-SMA), mitochondrial dynamics-related proteins (MFN1, Drp1), and mitophagy-related proteins (PINK1, Parkin, and LC3). Results Compared with the control group, the weight gain rate of the PM_2.5 group was slowed down (P<0.05), which was alleviated by the Sal intervention (P<0.05). The lung coefficient increased after the PM_2.5 exposure (P<0.05), which was alleviated by Sal intervention. Compared with the control group, the PM_2.5 group showed severe alveolar structure damage, inflammatory cell infiltration, and blue collagen deposition, and significantly increased the lung injury score, collagen volume fraction (CVF), Szapiel score, and Ashcroft score (P<0.05), as well as serum oxidative stress levels (P<0.05). The protein expression levels of Collagen-III, α-SMA, Drp1, PINK1, Parkin, and LC3 II/I were increased (P<0.05), and the expression of MFN1 was decreased (P<0.05). Compared with the PM_2.5 group, the Sal intervention alleviated lung injury, reduced inflammatory cell infiltration and collagen deposition, showing decreased lung injury score, CVF, Szapiel score, and Ashcroft score (P<0.05), and decreased serum oxidative stress levels (P<0.05); the protein expression levels of Collagen-III, α-SMA, PINK1, Parkin, and LC3 II/I were decreased (P<0.05), the expression level of Drp1 was decreased, and the expression level of MFN1 was increased. Conclusion In the process of pulmonary fibrosis induced by PM_2.5 exposure in mice, Sal may affect mitochondrial autophagy through PINK1/Parkin pathway and play a protective role. The specific mechanism needs to be further verified.

Sophora Flavescens is the dried root of the leguminous plant Sophora Flavescens Ait. It was first published in Shen Nong's Herbal Classic. Sophora Flavescens contains a variety of active ingredients, mainly including matrine and oxymatrine, with anti-inflammatory, anti-tumor, anti-arrhythmia, disease-resistant pathogenic microorganisms and other pharmacological effects. Clinically, the compound preparations of Sophora Flavescens include Compound KuShen injection and KuShen gel and so on, which can be used to treat many types of cancers and improve skin, mucous pruritus, pain and other symptoms. Due to the poor bioavailability, the structure of matrine needs to be reformed. MASM, matrine derivative, only needs a low concentration to have a good therapeutic effect on sepsis and liver fibrosis. In this article, the chemical composition, pharmacological effects, compound preparations and structural modification of matrine were mainly discussed, aiming to provide a theoretical basis for the clinical application of Sophora Flavescens and the development of new drugs.

Objective:To investigate the distribution characteristics of CTLA-4 on the surface of CD4+T cells in patients with breast cancer at different stages,and to evaluate its predictive value for the efficacy of radical mastectomy.Methods:A retrospective study was conducted on 200 breast cancer patients admitted between January 2020 and December 2022.Patients were divided into four groups based on clinical staging:stage Ⅰ(64 cases),stage Ⅱ(57 cases),stage Ⅲ(43 cases),and stage Ⅳ(36 cases).The clinical pathological characteristics of the four groups were compared,and the expression level of CTLA-4 on the surface of CD4+T cells in peripheral venous blood(CTLA-4+CD4+)was detected.Patients were divided into a poor prognosis group(52 cases)and a good prognosis group(148 cases)based on their prognosis,and the clinical pathological characteristics of the two groups were compared.A stratified regression model was used to analyze the relationship between CTLA-4+CD4+expression levels and different clinical characteristics.Logistic regression analysis was employed to evaluate the independent correlation between CTLA-4+CD4+expression levels and the risk of poor prognosis.An unconditional logistic regression model was used to analyze the multiplicative interaction effect of CTLA-4+CD4+expression levels and clinical staging on prognosis prediction.Restricted cubic spline analysis was used to investigate the relationship between CTLA-4+CD4+expression levels and poor patient prognosis.Results:Significant differences were observed in tumor diameter,ECOG score,lesion multiplicity,lymph node metastasis,tumor differentiation degree,ER,PR,HER2,Ki-67,CA125,CA153,and CEA among patients with different clinical stages(P<0.05).Significant differences were also observed in CD3+,CD4+,CD8+,and CTLA-4+CD4+(P<0.05).As the clinical stage increased,the proportions of CD3+,CD4+,and CD8+decreased,while the proportion of CTLA-4 on the surface of CD4+T cells increased(P<0.05).Significant differences were observed in clinical stage,tumor diameter,lymph node metastasis,tumor differentiation degree,ECOG score,ER,PR,HER2,and CTLA-4+CD4+among patients with different prognosis groups(P<0.05).Hierarchical regression analysis indicated that clinical stage,tumor diameter,lymph node metastasis,tumor differentiation degree,ECOG score,and HER2 had a significant positive impact on CTLA-4+CD4+(P<0.05),while ER and PR had a significant negative impact on CTLA-4+CD4+(P<0.05).Logistic regression analysis showed that CTLA-4+CD4+was positively correlated with poor prognosis(P<0.05).CTLA-4+CD4+and clinical stage had multiplicative and additive interactions on prognosis.Regardless of the clinical stage,CTLA-4+CD4+on the surface of CD4+T cells was significantly positively correlated with poor prognosis.Conclusion:The expression level of CTLA-4+CD4+in patients with advanced breast cancer is significantly elevated,playing a crucial role in the clinical pathological characteristics of breast cancer.An elevated level may indicate a poor prognosis.

Objective To investigate the feasibility of simultaneous multi-slice(SMS)acquisition combined with single-shot echo-planar imaging(SSEPI)multi-model diffusion weighted imaging(DWI)for breast lesions.Methods Totally 108 cases of breast lesions were retrospectively enrolled and divided into malignant group(n=66)and benign group(n=42)based on pathology.3.0T MR scanner was used to acquire SSEPI and SMS-SSEPI multi-b values DWI,7 derived parameters were obtained through post-processing with mono-exponential,fractional-order calculus(FROC)and continuous-time random walk(CTRW)models.Then the imaging quality and derived parameters of SMS-SSEPI and SSEPI DWI were compared between groups.Spearman correlation analysis was performed to explore the relationships of corresponding parameters between SMS-SSEPI DWI and SSEPI DWI.Diagnostic performance of each parameter for distinguishing malignant and benign lesions was evaluated according to the area under the receiver operating characteristic curve(AUC).Results Background noise score of SMS-SSEPI DWI was lower than that of SSEPI DWI(P＜0.05),whereas no significant difference of overall imaging quality,normal anatomical structure depiction,lesion conspicuity,geometric distortion,signal-to-noise ratio(SNR)nor contrast-to-noise ratio(CNR)was found between SMS-SSEPI DWI and SSEPI DWI(all P＞0.05).Parameters derived from SMS-SSEPI DWI were all moderately to highly positively correlated with those from SSEPI DWI(rs=0.66-0.98).Malignant lesions exhibited significantly lower apparent diffusion coefficient(ADC),diffusion coefficient based on FROC(DFROC),fractional order derivative in space(βFROC),diffusion coefficient based on CTRW(DCTRW),temporal diffusion heterogeneity index(αCTRW)and spatial diffusion heterogeneity index(βCTRW)values,but higher spatial parameter(μFROC)value than benign lesions(all P＜0.05).AUC of SMS-SSEPI DWI derived parameters for differentiating malignant from benign lesions were 0.699-0.900,of those from SSEPI DWI were 0.654-0.887,while in both SMS-SSEPI DWI and SSEPI DWI,DFROC had the highest diagnostic efficacy(AUC=0.900,0.887).Conclusion SMS-SSEPI DWI could be used to effectively differentiate malignant and benign breast lesions.

Objective:To evaluate the application of metagenomic next-generation sequencing（mNGS）in the identification of non-tuberculous mycobacteria（NTM）.Methods:A retrospective analysis was conducted on mNGS results of 358 bronchoalveolar lavage fluid（BALF）samples positive for NTM collected at the First Affiliated Hospital of Zhejiang University School of Medicine from February 2021 to January 2024. The analysis included the distribution of NTM species，the detection of mixed pathogens，and the performance of conventional mycobacterial detection methods.Results:The results showed that 362 strains of 15 NTM species were identified from 350 specimens，8 specimens were not precise to the species level. The most frequently detected species were Mycobacterium intracellulare（37.3%，135/362）， Mycobacterium abscessus（26.8%，97/362），followed by Mycobacterium avium（11.0%，40/362）， Mycobacterium kansasii（8.0%，29/362）and Mycobacterium chelonae（7.7%，28/362）. Single NTM species were detected in 339 specimens，while two or three NTM species were simultaneously detected in 11 specimens（3.1%，11/358）. Non-NTM microorganisms co-infected were detected in 53.4%（191/358）of NTM-positive BALF samples，including common pathogens such as Pseudomonas aeruginosa， Staphylococcus aureus，and Aspergillus fumigatus；and difficult-to-identify pathogens such as Legionella pneumophila and Talaromyces marneffei. In NTM-positive patients detected by mNGS，the results supported the diagnosis of NTM infection in 298 cases（298/358，83.2%）and 105 cases（105/358，29.3%）initiated anti-NTM treatment accordingly；while in 60 cases（60/358，16.8%）the positive results were considered as colonization or unrelated to clinical infection. For samples tested with acid-fast staining，mycobacterial liquid culture，and DNA microarray，the positivity rates for NTM were 31.5%（73/232），48.7%（57/117），and 43.0%（46/107），respectively. Conclusions:mNGS demonstrates advantages in identification of NTM. However，the test may detect multiple microorganisms，in that case，the interpretation with clinical and radiological results is requried to determine the main pathogens.

Objective:To investigate whether deltoid ligament (DL) injury produces axial-plane rotational instability of the ankle in patients with chronic ankle instability (CAI).Methods:A retrospective study was conducted to analyze the 33 patients with CAI who had been treated at Department of Orthopaedics, The First Affiliated Hospital of Nanjing Medical University between January 2023 and December 2024. The cohort consisted of 17 males and 16 females with an age of (31.5±9.9) years. The patients were assigned into 2 groups based on the presence of DL injury: a lateral chronic ankle instability (LCAI) group ( n=17) and a rotational ankle instability (RAI) group ( n=16). Barefoot natural walking trials were performed in all patients. Three-dimensional kinematic data were synchronously collected using an optical motion capture system (12 cameras) and force plates. A lower extremity model was constructed to obtain shank axial rotation (internal/external rotation) and rear-foot inversion/eversion angles. Continuous relative phase (CRP) analysis was employed to assess shank-rearfoot movement coupling. The mean absolute relative phase (MARP) and deviation phase (DP) were calculated. Results:There was no statistically significant difference in the clinical baseline data between the 2 groups, indicating comparability ( P>0.05). Throughout the gait cycle, no significant differences were found in shank rotation angles or rear-foot eversion angles between the RAI group and the LCAI group. However, CRP analysis revealed that during the early stance phase (initial contact and loading response), shank-rearfoot coupling was significantly lower in the RAI group than in the LCAI group. In the early stance phase, the CRP values in the RAI group were significantly higher than those in the LCAI group. The CRP curve changes in the RAI group were consistently higher in the standce phase of the entire gait cycle than those in the LCAI group, and the peak value of the CRP curve was larger in the RAI group. Concurrently, the RAI group exhibited significantly higher MARP and DP values than the LCAI group (27.48°±14.54° versus 15.21°±9.56°; 26.02°±11.73° versus 17.83°±9.82°) (both P<0.05). Conclusion:DL injury significantly damages the axial rotational stability of the ankle joint and significantly exacerbates the mechanical instability of the ankle joint in CAI patients.

BackgroundPostpartum depression （PPD） is a prevalent postpartum complications that significantly compromises women's psychological and physical well-being. Repetitive transcranial magnetic stimulation （rTMS）， a conventional neuromodulation technique， has been increasingly used in the treatment of PPD. However， high-quality evidence regarding its efficacy and safety remains limited. ObjectiveTo evaluate the efficacy and safety of rTMS in the treatment of PPD， thereby providing references for clinical treatment. MethodsDatabases including Cochrane Library， PubMed， Embase， CNKI， Wanfang， VIP and China Biology Medicine disc （CBM） were electronically searched for randomized controlled trials （RCTs） on rTMS for PPD， with the search spanning from database inception to February 8， 2025. Study quality was assessed using the Cochrane Handbook for Systematic Reviews of Interventions 5.0.1， and the certainty of evidence was graded according to the Grading of Recommendations Assessment， Development and Evaluation （GRADE） approach. Meta-analysis was conducted using RevMan 5.3 and Stata 12.0. The outcomes of the Meta-analysis included the total effective rate， Edinburgh Postnatal Depression Scale （EPDS） score， Hamilton Depression Rating Scale （HAMD） score， and adverse reactions （dizziness， headache， nausea， diarrhea， and the overall incidence of adverse reactions）. ResultsA total of 11 studies involving 729 patients with PPD were included. Meta-analysis results showed that the total effective rate in the study group was significantly higher than that in the control group （OR=5.54， 95% CI： 3.07–10.01， P<0.01）. Both EPDS score （SMD=-2.38， 95% CI： -3.39–-1.37， P<0.01） and HAMD score （SMD=2.53， 95% CI： 1.21–3.85， P<0.01） in the study group were significantly lower than those in the control group， with statistically significant differences. Comparisons between the study group and control group reveal no significant differences in the incidence of dizziness and headache （RR=1.47， 95% CI： 0.63–3.43， P>0.05）， nausea （RR=1.46， 95% CI： 0.55–3.86， P>0.05）， diarrhea （RR=0.71， 95% CI： 0.23–2.20， P>0.05）， and overall adverse reactions （RR=1.30， 95% CI： 0.79–2.15， P>0.05）. GRADE assessment rated the four indicators of dizziness and headache， diarrhea， overall incidence of adverse reactions， and EPDS score as "moderate-certainty evidence"， and rated the total effective rate， nausea， and the HAMD score as "low-certainty evidence". ConclusionrTMS demonstrates certain therapeutic efficacy for PPD， with a safety profile comparable to conventional treatment. ［Funded by Sichuan Psychological Society Research Planning Project （number， SCSXLXH202403099）； Guiding Science and Technology Plan Project of Guangyuan （number， 23ZDYF0095）］

Objective:To preliminarily explore the relationship between intraventricular pressure gradients (IVPG) measured by ultrasound hemodynamic analysis and left ventricular cardiotoxicity after anthracycline chemotherapy.Methods:This was a retrospective cohort study. Patients with diffuse large B-cell lymphoma (DLBCL) who completed 6 cycles of R-CHOP chemotherapy at Fudan University Shanghai Cancer Center from 2014 to 2015 were included. Echocardiography was performed at baseline (T0), after 2 cycles of chemotherapy (T1), after 4 cycles of chemotherapy (T2), and after all chemotherapy cycles (T3). Left ventricular global longitudinal strain (LVGLS), left ventricular global circumferential strain (LVGCS), and left ventricular ejection fraction (LVEF) were analyzed using speckle-tracking imaging technology, and IVPG was measured using hemodynamic analysis technology, including IVPG of long-axis (IVPG-LA) and IVPG of short-axis. The change rate of each index from T0 to T2 was marked as Δ. Left ventricular cardiotoxicity was defined as a decrease in LVEF of ≥10% from the baseline level or LVEF ≤50%. Univariate logistic regression analysis was used to explore the related factors of left ventricular myocardial toxicity, and the receiver operating characteristic curve was drawn to analyze their evaluation efficiency for left ventricular myocardial toxicity.Results:A total of 55 patients were included, including 28 males (51%), aged (46.5±11.7) years. Twelve patients (22%) developed left ventricular cardiotoxicity. Compared with T0, IVPG-LA decreased at T1 ((10.73±2.51)% vs. (11.52±3.62)%, P=0.037); while LVGLS, LVGCS, and LVEF only decreased at T3 (all P<0.05). Univariate logistic regression analysis showed that ΔIVPG-LA and ΔLVGLS were related factors for left ventricular myocardial toxicity in patients with DLBCL receiving chemotherapy (all P<0.05). The receiver operating characteristic curve showed that the area under the curve of ΔLVGLS was 0.702, with an optimal cut-off value of 13.15% (sensitivity 66.7%, specificity 62.8%); the area under the curve of ΔIVPG-LA was 0.812, with an optimal cut-off value of 20.74% (sensitivity 75.0%, specificity 90.7%). Conclusions:Hemodynamic analysis technology shows promise clinical application value in evaluating subclinical changes in left ventricular function in tumor patients after anthracycline chemotherapy; the change rate of IVPG-LA could be used as an early indicator of left ventricular toxicity after anthracycline chemotherapy.