Objective: To evaluate the performance of platelet efficacy score (PEscore) in predicting platelet transfusion efficacy in hematological patients. Methods: A total of 485 patients with hematological diseases, including 298 males (62.09±15.45 years) and 187 females (59.17±16.52 years) who received platelet transfusion from January 1, 2021 to December 31, 2024 were enrolled in this study. Clinical data of the patients such as diagnosis, gender, age, number of platelet transfusion, and platelet antibody data were analyzed to investigate the incidence and influencing factors of platelet transfusion refractoriness in hematological patients at our hospital. ROC curve was used to evaluate the performance of PEscore model in predicting platelet transfusion efficacy. The predictive performance of PEscore model was validated by calculating its sensitivity, specificity, and accuracy in 115 clinical cases. Results: The incidence of platelet transfusion refractoriness in 485 cases was 29.90% (145/485). Significant differences (P<0.05) were observed between the effective and ineffective platelet transfusion groups regarding the following factors: diagnosis: lymphoma [55.32% (26/47) vs 44.68% (21/47)], the number of previous platelet transfusions [≥25: 60.78% (31/51) vs 39.22% (20/51)], platelet antibody screening result [positive: 33.76% (53/157) vs 66.24% (104/157)], and platelet transfusion volume (×10 /L) [>6: 62.71% (74/118) vs 37.29% (44/118)]. The area under the ROC curve of PEscore was 0.876. The cut-off points and corresponding sensitivity and specificity were 19.90.59% and 69.44%, respectively. The results of clinical application showed that the sensitivity, specificity and accuracy of the PEscore model for predicting platelet transfusion were 87.50%, 93.41% and 92.17%, respectively. Conclusion: The incidence of platelet transfusion refractoriness in hematological patients is relatively high. PEscore prediction model has a good performance in predicting the effect of platelet transfusion, which can provide a reliable basis for predicting the effect of platelet transfusion in hematological patients before blood transfusion.

To investigate the effect of baicalin (BAI)-loaded cross-linked lipoic acid nanocapsules (BAI@cLANCs) against hydrogen peroxide (H2O2)-induced senescence in human umbilical vein endothelial cells (HUVECs), this study examined the toxicity of BAI@cLANCs on HUVECs by MTT method. The cell nuclear staining, SA-β-gal staining, and MTT methods were used to assess the optimal concentration of H2O2-induced senescence in HUVECs. The cellular uptake of BAI@cLANCs was evaluated using fluorescence microscopy imaging and flow cytometry. The proportion of cellular senescence was determined by SA-β-gal staining. The level of reactive oxygen species (ROS) in senescent cells was detected by fluorescence microscopy imaging and multifunctional microplate reader. The content of malondialdehyde (MDA) in cells was detected by lipid oxidation detection kit, and the cell cycle was analyzed by flow cytometry with propidium iodide staining. The results showed that BAI@cLANCs had no significant effect on the growth of HUVECs in the range of BAI at 2.80−112 mmol/L. 200 μmol/L and 25 minutes were the ideal conditions for H2O2-induced senescence of HUVECs. cLANCs as drug delivery carriers significantly enhanced the uptake efficiency of BAI in HUVECs. Compared with the normal group, the H2O2 model group showed decreased cell viability, increased positive SA-β-gal staining rate, increased ROS and MDA content, as well as increased percentage of cells blocked in S phase and decreased cells entering G2/M phase. Compared with the H2O2 model group, BAI, cLANCs, BAI + cLANCs, and BAI@cLANCs groups showed increased cell viability, decreased positive SA-β-gal staining rate, decreased ROS and MDA content, decreased percentage of S-phase cells, and increased cells entering G2/M phase, with the best anti-aging effect in the BAI@cLANCs group. In summary, the results above showed that both BAI and cLANCs have anti-aging properties. With cLANCs as drug carriers, the anti-aging benefits of BAI@cLANCs are synergistic and can effectively delay H2O2-induced senescence of HUVECs.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

OBJECTIVE To evaluate the efficacy and safety of apatinib combined with PD-1/PD-L1 inhibitors in the treatment of malignant solid tumors. METHODS Randomized controlled trials （RCTs） on apatinib combined with PD-1/PD-L1 inhibitors （combination group） versus monotherapy （apatinib or PD-1/PD-L1）combined with （or） chemotherapy/other treatments （control group） in the treatment of malignant solid tumors were collected from PubMed， Web of Science， Embase， Cochrane Library， CNKI， VIP， Wanfang Data and China Biomedical Literature Database. The search time limit was from the establishment of the databases to May 2025. After literature screening， data extraction and literature quality evaluation， meta-analysis was performed using RevMan 5.3 and Stata 14.0. RESULTS A total of 28 RCTs involving 2 974 patients were included. The objective response rate [RR＝1.639， 95%CI（1.452，1.851）， P＜0.000 01]， disease control rate [RR＝1.284， 95%CI（1.178，1.399）， P＜0.000 01] and CD3+， CD4+， CD4+/CD8+ as well as the incidence of ADR such as hypertension， fatigue， proteinuria， thrombocytopenia were significantly higher in the combination group than control group （P＜0.05 or P＜0.000 01）. The progressive disease rate [RR＝ 0.497， 95%CI（0.437， 0.566）， P＜0.000 01] and serum tumor + marker levels and CD8 were significantly lower in the combination group than control group （P＜0.05 or P＜0.000 01）. Subgroup analysis results of different types of tumors showed that the objective response rate and disease control rate were significantly higher in the combination group than control group （P＜0.05）. The results of sensitivity analysis showed that the stability of this study was good. The results of publication bias analysis showed that there was a high possibility of publication bias in this study. CONCLUSIONS Apatinib combined with PD-1/ PD-L1 inhibitors has a significant efficacy in the treatment of different types of tumors， but attention should be paid to the occurrence of hypertension， fatigue， proteinuria and thrombocytopenia.

Objective: To explore the isotemporal substitution effects among different intensities of physical activity within a 10 minute recess period on the mental health of junior high school students, aiming to provide evidence based references for targeted practical interventions. Methods: From May to November 2024, a total of 845 junior high school students from Tianjin,Taiyuan and L Liang in Shaanxi Province,Puyang in Henan Province,Xi an in Shaanxi Province,Quzhou in Zhejiang Province,and Chaoyang in Liaoning Province were selected by using a combination of stratified random sampling and convenience sampling. ActiGraph wGT3X-BT accelerometers was used to measure physical activity during a 10 minute recess period. Mental health status was assessed with the Depression Anxiety Stress Scale (DASS-21). An isotemporal substitution model was constructed in 1 minute increments to predict the effects of substituting different physical activity behaviors on students mental health. Results: During recess, sedentary behavior (SB) was predominant among junior high school students, with an average duration of [7.08(5.85,7.98)] minutes, while moderate to vigorous physical activity (MVPA) accounted for the shortest duration at [0.42(0.21,0.85)] minutes. There were statistically significant differences in MVPA,LPA and SB time between students of different genders and grades( Z/H =-9.08,-8.34,-9.51;84.87,126.82,135.27,all P <0.01). Isotemporal substitution analysis, adjusted for gender and age, showed that replacing 1 minute of SB with 1 minute of MVPA significantly improved anxiety levels ( β =-0.29, 95% CI =-0.53 to -0.04) and overall mental health ( β =-0.72, 95% CI =-1.39 to -0.04), with both results reaching statistical significance (both P <0.05). No significant effects were observed for other substitution patterns (both P >0.05). Conclusions Substituting SB with MVPA during a 10 minute recess period exerts a positive impact on the mental health of junior high school students. It is recommended to optimize the daily recess activity structure in schools to enhance students mental well being.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.

Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.

OBJECTIVE To establish a content determination method for multiple components in Sophora flavescens from different origins and to evaluate its quality by combining with chemometrics. METHODS Thirteen batches （No. K1-K13） of S. flavescens from different origins were selected as test samples. A high-performance liquid chromatography-tandem triple quadrupole mass spectrometry （HPLC-MS/MS） method was established to determine the contents of 12 components， including matrine， oxymatrine， betaine， cytisine， N-methylcytisine， sophoridine， genistein， sophoricoside， sophorone， formononetin， sophorolone Ⅰ and norkurarinone in S. flavescens. Chromatographic separation was performed on a Shim-pack GIST-HP C18 column with a mobile phase consisting of methanol （A） and water containing 0.1% formic acid （B）， using gradient elution at a flow rate of 0.25 mL/min， column temperature of 35 ℃， and an injection volume of 3 μL. Mass spectrometry was conducted using an electrospray ionization source with positive and negative ion scanning. Data were collected in segments using the multiple reaction monitoring mode. Technique for order preference by similarity to ideal solution （TOPSIS） and grey relational analysis （GRA）methods were employed to compare and comprehensively evaluate the 13 batches of S. flavescens from different origins. RESULTS The methodological validation for the content determination met the relevant regulatory requirements. The contents of the 12 components were 490.66-1 231.00， 11 088.10- 18 021.50， 7.91-25.38， 903.97-1 713.64， 336.08-1 485.54，1 065.33-2 075.50， 27.52-71.80， 109.36-517.83， 6 034.55-10 632.73， 21.26-145.35， 814.84-1 911.32， 1 040.87-3 446.37 μg/g）， respectively. TOPSIS results showed that the top 7 samples in Euclidean distance ranking were K6， K12， K11， K3， K5， K10， K13. The GRA results showed that the top 7 samples in the relative correlation ranking were K12， K11， K10， K6， K13， K5， K3. CONCLUSIONS The established HPLC-MS/MS method is rapid， accurate， highly sensitive， stable and reliable. Combined with chemometrics methods， it can be used for the quality control and evaluation of S. flavescens. The comprehensive quality of samples K3， K5， K6（ from Hebei）， K10（ from Sichuan）， K11-K13（ from Shanxi）， etc. is relatively superior.