Network Meta-analysis was conducted to evaluate the efficacy and safety of different traditional Chinese medicine injections combined with conventional western medicine in treatment of cerebral small vessel disease(CSVD). Computerized searches were conducted in PubMed, Cochrane Library, Web of Science, EMbase, CNKI, Wanfang, VIP, and SinoMed for randomized controlled trial(RCT) published in Chinese or English using traditional Chinese medicine injections to treat CSVD. The search time is from the inception to July 15, 2024. Literature screening and statistical analysis were conducted with NoteExpress 3.0.3, RevMan 5.3.5, and Stata 15.1.6. A total of 45 articles were included, involving 3 717 patients, with 1 944 patients in the treatment group and 1 773 patients in the control group. A total of 15 kinds of traditional Chinese medicine injections were involved. Network Meta-analysis indicated that,(1) in terms of improving clinical total effective rate, the best intervention in SUCRA was Ciwujia Injection + conventional western medicine.(2) In terms of reducing NIHSS scores, the best intervention in SUCRA was Xueshuantong Injection + conventional western medicine.(3) In terms of improving ADL scores, the best intervention in SUCRA was Danshen Injection + conventional western medicine.(4) In terms of improving MMSE scores, the best intervention in SUCRA was Xueshauntong Injection + conventional western medicine.(5) In terms of improving MoCA scores, the best intervention in SUCRA was Salvianolate Injection + conventional western medicine.(6) In terms of reducing plasma viscosity(PV), the best intervention in SUCRA was Danhong Injection + conventional western medicine.(7) In terms of reducing the hematocrit, the best intervention in SUCRA was Xuesaitong Injection + conventional western medicine.(8) In terms of reducing fibrinogen, the best intervention in SUCRA was Xuesaitong Injection + conventional western medicine.(9) In terms of reducing erythrocyte sedimentation rate(ESR), the best intervention in SUCRA was Danshen Injection + conventional western medicine.(10) In terms of reducing total cholesterol(TC), triglycerides(TG), and low-density lipoprotein(LDL), the best intervention in SUCRA was Danshen Injection + conventional western medicine. The radar chart results indicated that the advantage of Salvianolate Injection lies in improving cognitive function, while the advantage of Xueshuantong Injection lies in improving neurological function. The advantage of Xuesaitong Injection lies in improving hemodynamic parameters, and the advantage of Danshen Injection lies in improving behavioral ability, hemodynamics, and blood lipid levels. In terms of safety, there was no significant difference in the incidence of adverse reactions between the traditional Chinese medicine injection treatment group and the conventional western medicine group, and no serious adverse reactions occurred. The results showed that the combination of traditional Chinese medicine injections and conventional western medicine can effectively improve the clinical total effective rate, the neurological and cognitive functions, hemodynamic parameters, and blood lipid levels of patients suffering from CSVD. In addition, more double-blind, multi-center, large-sample RCT is needed to verify these findings and to provide more high-quality evidence on the efficacy and safety of traditional Chinese medicine injections for CSVD.
Humans ; Cerebral Small Vessel Diseases/drug therapy* ; Drugs, Chinese Herbal/administration & dosage* ; Injections ; Randomized Controlled Trials as Topic

OBJECTIVE: To explore clinical efficacy of tibial transverse transport (TTT) combined with debridement in treating necrotizing fasciitis of the lower extremities. METHODS: A retrospective analysis was conducted on 31 patients with necrotizing fasciitis of the lower extremities who were treated with TTT from January 2021 to October 2023, including 28 males and 3 females, aged from 44 to 76 years old with an average of (57.58±8.79) years old. In-hospital mortality rate, amputation rate, length of hospital stay, hospitalization cost, number of surgeries, and inflammatory indicators before and after operation (white blood cells, hemoglobin, C-reactive protein, albumin), as well as wound healing and daily living ability were observed and compared. RESULTS: All 31 patients were followed up for 3 to 12 months with an average of (6.61±2.46) months. All patients' wounds healed without recurrence. The wound healing time was (4.96±2.61) months, amputation rate of 31 patients was 3.22% (1/31), in-hospital mortality rate was 0%, the length of hospital stay was (27.10±24.51) days, the hospitalization cost was (107, 300 ± 83, 300) yuan, and the number of surgeries was (3.26±1.93) times. White blood cells, C-reactive protein and albumin before operation were (13.41±5.54) ×10⁹/L, (136.67±73.50) mg·L^-1 and (25.92±5.59) g·L^-11 respectively, and improved to (11.05±3.65) ×10⁹/L, (79.91±51.40) mg·L^-1, and (30.31±4.02) g·L^-1 at 2 weeks after operation, and the differences were statistically significant (P<0.05);there was no statistically significant difference in hemoglobin before and after operation (P>0.05). At the latest follow-up, 16 patients were able to take care of themselves, 12 patients were partially self-sufficient, and 3 patients were completely unable to take care of themselves. CONCLUSION TTT with debridement could achieve satisfactory clinical efficacy in treating necrotizing fasciitis of the lower extremities.
Humans ; Male ; Female ; Middle Aged ; Aged ; Adult ; Fasciitis, Necrotizing/mortality* ; Retrospective Studies ; Debridement ; Lower Extremity/surgery* ; Tibia/surgery*

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective To analyze and evaluate the early warning efficacy of D-dimer/albumin ratio(DAR)combined with interleukin-6(IL-6)and fibrin degradation products(FDP)in the postoperative treatment of acute Stanford type A aortic dissection(ATAAD).Methods A retrospective cohort study was conducted on 284 ATAAD patients who underwent the Sun's procedure at our hospital from July 2024 to March 2025.Patients were divided into a non-adverse outcome group(n=196)and an adverse outcome group(n=88)based on the occurrence of postop-erative complications within 30 days,including acute renal failure requiring dialysis,secondary thoracotomy for hemostasis,severe neurological complications,multiple organ failure,or all-cause mortality.Preoperative baseline data,perioperative parameters,and laboratory indicators were collected via the electronic medical record system.The Mann-Whitney U test was used to compare the differences between groups for continuous variables that did not conform to the normal distribution,and Chi-square test or Fisher's exact test was selected for statistical difference analysis according to the frequency distribution characteristics of categorical variables.On the basis of univariate analysis,multivariate logistic regression analysis was used to screen independent risk factors.Results Statistically significant differences were observed between the non-adverse and adverse outcome group in age,cardiopulmonary bypass time,lactate dehydrogenase(LDH),IL-6,D-dimer(D-D),FDP,and DAR levels(P<0.05).Multivariate analysis revealed that DAR,IL-6,D-D,FDP,and prolonged cardiopulmonary bypass time were independent risk factors for adverse postoperative outcomes(P<0.05).Combined detection analysis demonstrated that the combination of DAR,IL-6,FDP,and cardiopulmonary bypass time yielded the highest predictive efficacy,with an area under the ROC curve of 0.886(95％CI:0.846～0.927).Conclusion The combination of DAR,IL-6,FDP,and cardio-pulmonary bypass time effectively predicts adverse postoperative outcomes in ATAAD patients.This biomarker panel may serve as a robust predictive tool for postoperative risk stratification.

Objective:To assess the viability of reducing radiation dose, contrast media volume, injection flow rate and contrast medium concentration (quadruple low-dose protocol) by utilizing virtual monoenergetic images (VMI) in photon-counting detector CT (PCD-CT) for aortic CT angiography (CTA), while maintaining image quality in comparison to images obtained from energy-integrating detector CT (EID-CT).Methods:From April 2024 to June 2024, a total of 40 participants who underwent aortic CTA on PCD-CT were prospectively enrolled in the experimental group (PCD-CT group), while 40 patients with similar baseline characteristics who had previously undergone aortic CTA using EID-CT were retrospectively selected for the conventional group (EID-CT group). The EID-CT group used a tube voltage of 90 kVp, a contrast media volume of 60 ml of contrast, an injection flow rate of 3 ml/s, and a contrast concentration of 350 mgI/ml; the PCD-CT group used the QuantumPlus mode, with a tube voltage of 140 kVp, a total amount of iodine in the contrast media of 140 mgI/kg, and an injection flow rate=contrast media volume/(delay time+scan time), and a contrast media concentration of 320 mgI/ml. VMIs in PCD-CT group were reconstructed in 5-keV intervals ranging from 45 to 65 keV. The effective radiation dose and contrast injection protocols were recorded and compared between two groups. Objective image quality assessment was performed for each group. CT attenuation, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at five anatomical locations (ascending aorta, aortic arch, descending aorta, abdominal aorta, and right common iliac artery), and image noise was recorded. Subjective image quality was independently evaluated by two readers using a 5-point Likert scale in a blinded manner. Based on data normality, the one-way ANOVA or Kruskal-Wallis test was used for image quality assessment, with Bonferroni-corrected post-hoc analysis for multiple comparisons.Results:There were no significant differences in the baseline characteristics between two groups (all P0.05). The PCD-CT group demonstrated significantly lower effective radiation dose [(3.88±0.65) mSv vs. (5.97±1.15)mSv], contrast media volume [(29.25±4.56) ml vs. 60 ml], and injection rate [(2.65±0.42) ml/s vs. 3 ml/s] than the EID-CT group, with reductions of 35%, 51%, and 12%, respectively (all P0.001). For objective image quality, except for the ascending aortic CT attenuation, the CT attenuation, SNR, and CNR of other vessels in the 55 keV PCD-CT group were comparable to those in the EID-CT group. Additionally, the difference in image noise between these two groups was not statistically significant ( P0.05). Concerning subjective image quality, at 55 keV, the PCD-CT group had similar image noise scores and vessel attenuation scores (both P0.05) and better visualization of renal artery branching ( P=0.001) compared to the EID-CT group. Conclusion:In comparison to EID-CT, the use of a 55 keV image in PCD-CT for aortic CTA has demonstrated reductions in radiation dose, contrast media volume, injection flow rate and contrast medium concentration, while maintaining image quality.

Objective:To evaluate the feasibility of head and neck vascular imaging using photon-counting detector computed tomography (PCD-CT) combined with a “quadruple lows” protocol—characterized by low contrast media volume, low iodine concentration, low injection rate, and low radiation dose—and to compare the image quality with that obtained by energy-integrating detector CT (EID-CT).Methods:A total of 105 patients with suspected cerebrovascular disease were prospectively enrolled at the First Affiliated Hospital of Zhengzhou University between April and June 2024. Patients were randomly assigned to three groups ( n=35). Group A underwent conventional head and neck CTA using EID-CT. Group B underwent PCD-CT with a protocol involving ultra-low contrast media volume, low iodine concentration, and low injection rate. Group C underwent PCD-CT with the full “quadruple low” protocol. Objective image quality parameters—including CT attenuation, image noise (standard deviation, SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR)—were measured at the ascending aorta, common carotid artery, internal carotid artery, vertebral artery, basilar artery, posterior cerebral artery, and middle cerebral artery. Two radiologists independently rated subjective image quality using a 5-point Likert scale. Differences among groups were analyzed using one-way ANOVA and the Kruskal-Wallis test. Results:Compared to Group A [contrast volume: (42.78±6.64)ml], contrast agent volume was significantly reduced in Groups B and C[ (26.26±4.45) ml and (26.54±3.83)ml, respectively], demonstrating reductions of 39% and 38% (both P<0.01). The iodine concentration was 320 mg/ml in Groups B and C, lower than 350 mg/ml in Group A (8.5%). The injection rate was also reduced in Groups B and C [(3.39±0.61) and (3.55±0.51)ml/s, respectively] compared to Group A [(4.28±0.66) ml/s], with reductions of 21% and 17% (both P<0.01). The effective dose (ED) was similar between Groups A and B [(1.40±0.15) vs. (1.40±0.19)mSv, P>0.05], while Group C demonstrated a significantly lower ED [(0.99±0.09) mSv], with a reduction of 30% compared to Group A and 29% compared to Group B (both P<0.01).In terms of objective image quality, significant differences in image noise (SD) were observed among the three groups at the vertebral artery, internal carotid artery, posterior cerebral artery, and middle cerebral artery (all P<0.05). Groups B and C showed significantly lower SD compared to Group A ( P<0.05), with no significant difference between B and C ( P>0.05). SNR was significantly higher in Groups B and C than in Group A at multiple vascular segments (all P<0.05). CNR differed only at the internal carotid artery, where Groups B and C demonstrated superior performance compared to Group A ( P<0.05).Subjective image quality scores showed no significant difference between Groups A and C ( P>0.05), while Group B had significantly higher scores than both A and C ( P<0.05). All images were deemed diagnostically acceptable. Conclusion:Compared with conventional EID-CT, PCD-CT combined with a “quadruple lows” protocol enables substantial reductions in contrast media and radiation dose while further improving image quality in head and neck CTA.

Objective To observe the feasibility of photon-counting detector(PCD)-CT combined with"four-lows"protocol(low contrast agent concentration,low contrast dose,low contrast agent flow rate,low radiation dose)for coronary CT angiography(CCTA).Methods Totally 106 patients with suspected coronary artery disease were prospectively enrolled and randomized into energy-integrating detector(EID)-CCTA(group A,using conventional scanning protocol,n=52)or PCD-CCTA(group B,using"four-lows"scanning protocol,n=54)groups and underwent relative examinations.The radiation dose,subjective and objective evaluation results of imaging quality were compared between groups.Results The contrast agent dose and flow rate,volume CT dose index,dose length product and effective dose in group B were all lower than those in group A(all P＜0.001).The subjective scores in group B were higher than in group A(5[4,5]vs.4[4,5],Z=-2.310,P=0.021).Compared with group A,CT value,signal-to-noise ratio and contrast-to-noise ratio of aortic root and most of the main branches of coronary arteries increased in group B,while standard deviation of CT value decreased(all P＜0.05).Conclusion PCD-CT combined with"four-lows"protocol could be used for CCTA,which could improve imaging quality and reduce contrast agent usage and radiation dose.

Antibody-drug conjugates(ADCs)represent a major breakthrough in the treatment of human epidermal growth factor receptor-2(HER-2)-positive breast cancer as they are responsible for significantly improving clinical outcomes.However,their widespread use is accom-panied by severe adverse effects that not only impact the quality of life of patients and treatment adherence but also life-threatening,ulti-mately leading to treatment discontinuation.This article systematically reviews the underlying mechanisms and management strategies for ADC-related toxicities in HER-2-positive breast cancer.Additionally,it focuses on key adverse events,including thrombocytopenia,interstitial lung disease,and cardiotoxicity,that are induced by ADCs such as trastuzumab emtansine(T-DM1)and trastuzumab deruxtecan(T-DXd).Based on the clinical evidence,we proposed early monitoring and standardized intervention measures,emphasizing the importance of timely recognition and systematic management to mitigate risks.Furthermore,we explored future directions for optimizing ADC design to reduce their toxicity and provide valuable insights into their safe clinical application.

Three evaluation methods were recommended for the key properties of the intravascular catheter lubricating coating such as stability,lubricity and integrity,including insoluble particle test method,friction test procedure and appearance detection method.Fifteen batches of microcatheters produced by different manufacturers were selected for testing to clarify the three methods in test principle,step,result,characteristic.References were provided for the design,production,evaluation and regulation of intravascular catheters with lubricant coatings.[Chinese Medical Equipment Journal,2025,46(1):66-72]

Objective To explore the diagnosis and treatment experience of malignant peritoneal mesothelioma by analyzing the clinical characteristics of patients with single center peritoneal mesothelioma.Methods Retrospec-tively analyze the clinical data,including age and treatment regimens,of 99 patients with malignant peritoneal mes-othelioma admitted to Peking Union Medical College Hospital from June 2012 to July 2023.Kaplan-Meier for surviv-al analysis and Logistic and Cox regression were applied to assess the impact of factors like age and treatment regi-mens on survival time.Results The median age of diagnosis for 99 patients with peritoneal mesothelioma was 56 years,of which 82 were pathologically diagnosed.Among them,38 cases(51.4%)underwent tumor cell reduction surgery,and 57 cases(77.0%)underwent systemic or local treatment.The median survival time for all patients was 43 years.The age of diagnosis may affect the prognosis of patients with malignant mesothelioma,and those aged≥65 at the time of diagnosis have a worse prognosis.Conclusions Malignant peritoneal mesothelioma is a rare but invasive malignant tumor with a poor prognosis.There is still a need to develop novo drugs and comprehensive treat-ment strategies.