Chinese patent medicines are the core preparations for disease prevention and treatment in clinical traditional Chinese medicine （TCM）. Their quality is the key to ensuring safe and effective medication and promoting the high-quality development of the TCM industry. At present， the quality evaluation of Chinese patent medicines faces prominent problems， such as inadequate control of quality consistency， over-reliance on single indicators， one-sided evaluation dimensions， unstable statistical methods， and poor implementability of research findings. These defects lead to insufficient scientificity of evaluation results， making it difficult to support the implementation of policies including centralized procurement， high quality， and favorable prices for Chinese patent medicines. According to the core requirements of quality evaluation for Chinese patent medicines， this study established a four-dimensional comprehensive evaluation system encompassing consistency index（CI）， content index（MI）， effect index（EI）， and preparation index（PI）. All evaluation indicators were normalized to achieve horizontal comparability. Meanwhile， an improved radar chart was introduced to realize the visualization of evaluation results. This method can systematically integrate four types of core quality attributes： Quality consistency， component content， biological activity， and preparation characteristics. It can effectively distinguish quality differences among products of the same specification from different manufacturers. The evaluation results are unique， stable， and not affected by the addition or reduction of samples， which takes scientificity， objectivity， and operability into account. This method can provide scientific and technical support for screening high-quality Chinese patent medicines and implementing policies of centralized procurement， high quality， and favorable prices. Moreover， it has important practical significance for improving the quality evaluation system of Chinese patent medicines and advancing the standard and modern development of TCM.

ObjectiveTo establish a comprehensive evaluation framework combining multi-component quantification with daily intake in response to the challenges posed by multiple coexisting dosage forms， single-faceted quality evaluation， and ambiguous clinical equivalence of Huoxiang Zhengqi preparations， and to compare the quality differences and superiority among eight commercially available dosage forms. MethodsA total of 75 batches of Huoxiang Zhengqi preparations from 25 manufacturers were investigated. Ultra-performance liquid chromatography-triple quadrupole-tandem mass spectrometry （UPLC-QqQ-MS/MS） coupled with gas chromatography-triple quadrupole-tandem mass spectrometry （GC-QqQ-MS/MS） was adopted to simultaneously quantify 20 core marker components. Normalization was performed based on equivalent raw herb concentrations to eliminate interferences from dosage forms， excipients， and specifications. Considering the specified clinical dosage， the actual daily intake level was calculated to comprehensively evaluate component retention， content uniformity， and potential differences in in vivo exposure among different dosage forms. ResultsThe quality of Huoxiang Zhengqi preparations differed greatly among dosage forms and manufacturers. On the basis of the recommended daily doses in the package inserts， the total daily intake of the 20 tested components ranged from 3.14 to 614.30 mg·d^-1， while that of hesperidin， a quality-control marker， ranged from 0.03 to 40.65 mg·d^-1. Atractylodin was detected only in tinctures and soft capsules， with concentrations ranging from （2.68±0.01） to （5.73±0.37） mg·L^-1. The soft capsules from manufacturer M22 had the highest atractylodin level， while atractylodin was not detected in the other dosage forms. Nucleosides were most abundant in the oral liquids and tinctures （M4 to M13）. The tincture from manufacturer M5 showed the highest nucleoside level of 29.12 mg·L^-1， whereas the granules had the lowest nucleoside levels， with that of M23 being only 3.48 mg·L^-1. Perillae Folium-related components varied greatly among batches， with an relative standard deviation （RSD） of 87.55%. The daily intake of hesperidin from all three granule products was below 3.6 mg·d^-1， the reference value calculated for Huoxiang Zhengqi Shui according to the 2025 edition of the Chinese Pharmacopoeia. ConclusionThe levels of active components differed significantly among different dosage forms of Huoxiang Zhengqi preparations. Tinctures contained more types and higher overall levels of active components， while soft capsules were better at preserving volatile components. Granules and dripping pills had lower overall levels of active components. The comprehensive evaluation method established in this study can provide a basis for the quality control， process optimization， and the selection of high-quality products.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

Objective To explore the clinical characteristics of patients with diffuse large B-cell lymphoma (DLBCL) accompanied with KMT2D gene mutation and the impact of its co-mutated genes on prognosis. Methods Clinical data of 155 newly diagnosed DLBCL patients were obtained. The second-generation sequencing method was used to detect 475 hotspot genes, including KMT2D mutation. Patients were divided into the KMT2D mutation group and KMT2D wild-type group based on the presence or absence of KMT2D gene mutation. Clinical characteristics, differences in co-mutated genes, and survival differences between the two groups were compared. Results The frequency of KMT2D mutation was 31%, which is predominantly observed in elderly patients (P=0.07) and less in the double-expressor phenotype (P=0.07). Compared with the KMT2D wild-type group, KMT2D gene mutation was associated with higher co-mutation rates of CDKN2A (OR=2.82, P=0.01) and BCL2 (OR=3.84, P=0.016), while being mutually exclusive with MYC gene mutation (OR=0.11, P=0.013). In univariate survival analysis, no statistically significant difference in overall survival (OS) was found between the KMT2D mutation group and the wild-type group (P=0.54). Further analysis of the prognostic significance of KMT2D with other gene mutations indicated that patients with KMT2D^mutBTG2^mut had poorer OS than those with KMT2D^wt BTG2^mut (P=0.07) and KMT2D^wt BTG2^wt (P=0.05). On the contrary, patients with KMT2D^mut CD79B^mut had better OS than those with KMT2D^mut CD79B^wt (P=0.09), with no prognostic impact observed for other co-mutated genes. Multivariate Cox regression analysis revealed that Ann Arbor stages Ⅲ and Ⅳ (HR=2.751, 95%CI: 1.169-6.472, P=0.02), elevated LDH levels (HR=2.461, 95%CI: 1.396-4.337, P=0.002), Ki-67 index>80% (HR=1.875, 95%CI: 1.066-3.299, P=0.029), and KMT2D^mutBTG2^mut(HR=4.566, 95%CI: 1.348-15.471, P=0.015) were independent risk factors for OS in patients with DLBCL (P<0.05). Conclusion DLBCL patients with KMT2D mutation often have multiple gene mutations, among which patients with a co-mutated BTG2 gene have poor prognosis.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVE: To investigate the relationship between CDKN2A copy number deletion and clinical features of patients with diffuse large B-cell lymphoma (DLBCL) and its prognostic value. METHODS: 155 newly diagnosed DLBCL patients with complete clinical data in the Department of Hematology of People's Hospital of Xinjiang Uygur Autonomous Region from March 2009 to March 2022 were included, formalin-fixed paraffin-embedded tumor tissues were obtained and DNA was extracted from them, and next-generation sequencing technology was applied to target sequencing including 475 lymphoma-related genes, the relationship between CDKN2A copy number deletion and clinical features, high-frequency mutated genes and overall survival (OS) of DLBCL patients were analyzed. RESULTS: CDKN2A copy number deletion was present in 12.9% (20/155) of 155 DLBCL patients, grouped according to the presence or absence of copy number deletion of CDKN2A, and a higher proportion of patients with IPI≥3 were found in the CDKN2A copy number deletion group compared to the group with no CDKN2A copy number deletion (80% vs 51.5%, P =0.015) and were more likely to have bulky disease (20% vs 5.2%, P =0.037). Survival analysis showed that the 5-year OS of patients in the CDKN2A copy number deletion group was significantly lower than that of the non-deletion group (51.3% vs 69.2%, P =0.047). Multivariate Cox analysis showed that IPI score≥3 (P =0.007), TP53 mutation (P =0.009), and CDKN2A copy number deletion (P =0.04) were independent risk factors affecting the OS of DLBCL patients. CONCLUSION CDKN2A copy number deletion is an independent risk factor for OS in DLBCL, and accurate identification of CDKN2A copy number deletion can predict the prognosis of DLBCL patients.
Humans ; Lymphoma, Large B-Cell, Diffuse/genetics* ; Prognosis ; Cyclin-Dependent Kinase Inhibitor p16/genetics* ; DNA Copy Number Variations ; Female ; Male ; Middle Aged ; Gene Deletion ; Adult ; Aged

OBJECTIVE: To investigate the correlation of seminal plasma oxidation reduction potential (ORP), normalized oxidation-reduction potential (nORP) and sperm DNA fragmentation index (DFI) to sperm motion parameters, and their clinical predictive value for oligoasthenozoospermia (OAZ). METHODS: This study included 433 male subjects visiting the Clinic of Andrology in our hospital from March to May 2024. According to sperm concentration and the percentage of progressively motile sperm (PMS), we divided them into a normal control (n = 119), an oligozoospermia (OZ, n = 118), an athenozoospermia (AZ, n = 119) and an OAZ group (n = 77). Using the electrode method, we measured the seminal plasma ORP, calculated nORP=ORP/sperm concentration (mV/［10⁶/ml］), and determined DFI and high DNA chromatin sperm (HDS) by flow cytometry based on sperm chromatin structure assay (SCSA), followed by comparison among the four groups in age, abstinence days, semen volume, total sperm count, sperm concentration, PMS, non-progressively motile sperm (NPMS), immotile sperm (IMS), curvilinear velocity (VCL), straight line velocity (VSL), average path velocity (VAP), linearity (LIN), straightness(STR), wobble (WOB), DFI, HDS, ORP and nORP. Using the receiver operating characteristic (ROC) curve, we assessed the predictive value of DFI, ORP and nORP for OAZ, and analyzed the correlation of DFI, ORP and nORP to sperm motion parameters by Pearson and Spearman analyses. RESULTS: Statistical analysis revealed statistically significant differences among the four groups in semen volume, abstinence days, total sperm count, sperm concentration, PMS, NPMS, IMS, total sperm motility, VCL, VSL, VAP, STR, DFI, HDS, ORP and nORP (P < 0.05), but not in age, LIN and WOB (P > 0.05). The area under the ROC curve (AUC) for the predictive value of DFI for OAZ was 0.880, with the critical value of 8.920, sensitivity of 74.8% and specificity of 88.2%; that of ORP for AZ was 0.698, with the critical value of 155.375, sensitivity of 70.6% and specificity of 64.7%; and that of nORP for OZ was 0.999, with the critical value of 9.844, sensitivity of 98.3% and specificity of 99.2%. Pearson and Spearman correlation analyses showed that DFI was correlated positively with age, abstinence days, semen volume, IMS, HDS and ORP, but negatively with PMS, NPMS, total sperm motility, VCL, VSL, VAP and STR; ORP positively with abstinence days, semen volume, IMS, DFI and nORP, but negatively with PMS, NPMS, total sperm motility, VSL, LIN and STR; and nORP positively with HDS, but negatively with abstinence days, total sperm count, sperm concentration, PMS and NPMS. CONCLUSION Oxidative stress (OS) may be an important pathological factor for elevated ORP, increased DFI and changes of routine sperm motion parameters, consequently leading to OAZ. As OS markers, DFI and ORP have a high predictive value for OS-induced OAZ.
Male ; Humans ; DNA Fragmentation ; Semen/metabolism* ; Sperm Motility ; Spermatozoa ; Oxidation-Reduction ; Adult ; Oligospermia ; Sperm Count ; Semen Analysis ; Asthenozoospermia

Objective To investigate the value of first platelet count(PLT)to respiratory rate(RR)ratio(PLT/RR)on admission in the diagnosis and prognosis of secondary sepsis in pneumonia patients.Methods A total of 100 patients with pneumonia admitted to the First Affiliated Hospital of Army Medical University from May 2023 to August 2024 were selected as subjects.According to the presence or absence of pneumonia sepsis,they were divided into sepsis group(63 cases)and non-sepsis group(37 cases).The secondary sepsis in pneumonia pa-tients were followed up continuously for 30 d.According to the survival situation,they were divided into sur-vival group(54 cases)and death group(9 cases).PLT in peripheral blood was measured,vital signs were col-lected on the first day of admission,and PLT/RR was calculated.The receiver operating characteristic curve was used to evaluate the predictive value of PLT,RR and PLT/RR for secondary sepsis in pneumonia pa-tients.The systemic inflammatory response syndrome(SIRS)score,modified early warning score(MEWS)and quick sequential organ failure assessment(qSOFA)score on admission were calculated,and the clinical predictive value of SIRS score,MEWS and qSOFA score was compared.Results PLT and PLT/RR in sepsis group were lower than those in non-sepsis group(P<0.000 1),RR was higher than that in non-sepsis group(P<0.01).The area under the curve(AUC,95%CI)of PLT,RR and PLT/RR were 0.858(0.785-0.931),0.693(0.589-0.796)and 0.902(0.843-0.962),respectively.The optimal cut-off values were 146.5×109/L,20.5 per minute and 8.075,respectively.The specificity were 8.1%,83.8%and 2.7%,respec-tively.The sensitivity was 33.3%,50.8%and 30.2%,respectively.Compared with the non-sepsis group,the sepsis group had a significantly higher SIRS score(P<0.001),a significantly lower MEWS(P<0.000 1),and no significant difference in qSOFA score between the two groups(P>0.05).The AUC(95%CI)of SIRS score,MEWS and qSOFA score in predicting secondary sepsis in pneumonia patients were 0.717(0.616-0.818),0.748(0.650-0.846)and 0.505(0.389-0.622),respectively.The optimal cut-off values were 4.5,2.5 and 1.5 points,respectively.The specificity were 91.9%,2.7%and 100.0%,respectively.The sensitivity was 42.9%,33.3%and 6.3%,respectively.PLT and PLT/RR in death group were lower than those in sur-vival group(P<0.05),RR was higher than that in survival group(P<0.05).Secondary sepsis in pneumonia patients were followed up for 30 d,Kaplan-Meier survival curve showed that patients with PLT≤138.5×109/L had a lower 30 d survival rate(P=0.007 8).Patients with RR>24.5 per minute had a lower 30 d sur-vival rate(P=0.016 1).Patients with PLT/RR≤6.375 had a lower 30 d survival rate(P=0.002 3).Conclu-sion PLT/RR can be used as a biological index to predict secondary sepsis in pneumonia patients,which is better than SIRS score,MEWS and qSOFA score,and the prognosis of secondary sepsis in pneumonia patients with low PLT/RR is worse.

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.