OBJECTIVE The emergence of evolving variants of Coronavirus disease 2019(COVID-19)has fostered the need for change of newer and adaptive treatments for these infections.During the COVID-19 pandemic and persists,traditional Chinese medicine(TCM)herbs exhibit significant bioactivity and therapeutic effect.This study is aimed to evaluate the efficacy of four TCM preparations on 28-day mortality risk of patients and changes of the laboratory indicators.METHODS The retrospective cohort study included patients with COVID-19 who were admitted to the Jiangsu Province Hospital of Chinese Medicine from December 15,2022 to January 15,2023,and those died within 48 hours of admission or cannot be tracked for outcomes were excluded.The pri-mary outcome was survival status in 28 days(death or survival)starting from the day of admission.The second outcomes were labora-tory indicators,including absolute lymphocyte count,lactate dehydrogenase,creatinine,and blood urea nitrogen.Binary logistic re-gressions were used to estimate the effect of TCM preparations on the primary and secondary outcomes in main analysis.Meanwhile,heterogeneity and robustness of results from main analysis were assessed by subgroup analyses and multiple sensitivity analyses.RESULTS 1 816 eligible patients were included in analysis dataset,including 573 patients received standard care(control group)and 1 243 patients received TCM preparations(hospital preparation group).The 28-day mortality rate of hospital preparation group was lower than that of control group(4.75%vs.14.83%),and the difference was statistically significant(χ2=54.666,P<0.001).The risk of 28-day mortality was 0.535 times lower in the hospital preparation group as compared with the control group(OR=0.46,95%CI:0.305-0.708,P<0.001)showed by multivariable binary logistic regressions.Subgroup analyses showed that taking TCM preparations reduced the 28-day mortality risk.Sensitivity analyses demonstrated that the results of the main analysis for primary outcomes were robust.For secondary outcomes,the risk of abnormal absolute lymphocyte counts at discharge in the hospital prepara-tion group decreased by 0.284 times(OR=0.703,95%CI:0.515-0.961,P=0.027).CONCLUSION Compared with standard of care,taking four hospital preparations including Kanggan Heji,Feining Heji,Qishen Gubiao Keli,and Qianghuo Qushi Qingwen Heji decreased risk of 28-day mortality among hospitalized COVID-19 patients.TCM therapy achieves adequate therapeutic effects in COVID-19.

Objective:Investigate the impact of calcification on the long-term outcomes of patients with coronary chronic total occlusion (CTO) after percutaneous coronary intervention (PCI).Methods:A retrospective cohort study was conducted. Patients who underwent PCI and had at least one CTO lesion at Fuwai Hospital between January 2010 and December 2013 were consecutively enrolled. Calcification was evaluated by coronary angiography, and patients were divided into two groups: moderate/severe calcification group and non/mild calcification group. Clinical follow-up was completed up to 5 years. Incidence of PCI-related complications and immediate procedural outcomes were compared between two groups, and the primary endpoint was the target lesion failure (TLF) at 5 years after PCI. Clinical follow-up endpoint events were analyzed using Kaplan-Meier survival analysis with log-rank test, and Cox multivariate regression model was used to evaluate the relationship between calcification and TLF.Results:The study included 2 659 CTO patients with an age of (57.2±10.5) years, of whom 442 (16.6%) were female, and among whom 13.5% (360/2 659) had moderate/severe calcification. Compared with the non/mild calcification group, the moderate/severe calcification group had a higher incidence of PCI-related complications (43.2% (156/361) vs. 32.5% (772/2 374), P<0.001) and procedural failure (34.3% (124/361) vs. 24.3% (577/2 374), P<0.001). Additionally, the moderate/severe calcification group showed a higher risk of the primary endpoint event (TLF) during the 5-year follow-up (19.8% vs. 15.3%, log-rank P=0.028). Higher incidence of cardiac death was observed in moderate/severe calcification group (5.7% vs. 2.7%, log-rank P=0.003). Cox multivariate regression analysis revealed that moderate/severe calcified plaques remained an independent risk factor for 5-year TLF after CTO-PCI ( HR=1.34, 95% CI: 1.01-1.79, P=0.043). Conclusion:Compared with CTO patients with non/mild calcification, those with moderate/severe calcification have higher procedural failure and complication rates, as well as poorer long-term prognosis, mainly due to an increase in cardiac death.

Objective:To analyze the clinical characteristics and outcomes of Haemophilus influenzae (Hi) meningitis in children. Methods:This is a retrospective case series study. This study included 34 Hi meningitis patients who admitted to Beijing Children′s Hospital, Capital Medical University, from January 1, 2010, to December 31, 2023. Data on clinical presentations, laboratory tests, hearing assessment and outcomes at discharge were collected. Patients were divided into 2 groups according to the outcome at discharge: favorable outcome group and unfavorable outcome group. Mann-Whitney U test and Fisher exact test was used to estimate the risk factors for an unfavorable outcome at discharge. Results:Thirty-four patients were enrolled. There were 16 males and 18 females. The age at onset ranged from 3 months to 12 years. Fever (34 patients (100%)), convulsions (17 patients (50%)), and coma (21 patients (62%)) were the common clinical presentations. Twenty-four patients (71%) developed complications. There were 15 patients (44%) needed treatment in the intensive care unit, 5 patients (15%) received intubation, and 4 patients (12%) had developed shock. The favorable outcome group included 23 patients, and the unfavorable outcome group included 11 patients. Female, patients with limb movement disability, dystonia, ventriculomegaly or hydrocephalus, and a concentration of glucose in the initial cerebrospinal fluid lower than 1 mmol/L were risk factors of unfavorable outcome at discharge (all P<0.05). Among the 23 patients (68%) in favorable outcomes group, 13 patients (57%) had data available on their long-term follow-up results, including 12 patients with favorable long-term outcomes and 1 patient with unfavorable long-term outcome. Among the 11 patients (32%) in unfavorable outcomegroup, 1 patient died, the other 10 patients (91%) had data available on their long-term outcomes. Eight patients had unfavorable long-term outcomes and 2 patients with favorable long-term outcomes. Patients who had unfavorable outcomes at discharge were at a greater risk of experiencing unfavorable long-term outcomes ( P=0.001). Conclusions:It is common for patients with Hi meningitis to have intracranial complications or develop into critical conditions. Patients who have limb movement disability, dystonia, ventriculomegaly or hydrocephalus, and who exhibit a concentration of glucose in the initial cerebrospinal fluid lower than 1 mmol/L tend to have unfavorable outcomes; they need to be assessed for sequelae.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective:To systematically evaluate the qualitative studies on the experience of role transition among caregivers of patients with young-onset dementia.Methods:A computer-based search was conducted in the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine disc for qualitative studies on the experience of role transition among caregivers of patients with young-onset dementia. The retrieval time limit was from the establishment of the database to May 2024. The quality of the literature was evaluated by using the quality evaluation criteria of the Evidence-Based Health Care Center of the Joanna Briggs Institute, and the Meta-synthesis of the results was carried out by using the pooling integration method.Results:A total of 14 articles were included, 46 results were extracted, and nine categories were formed by induction. Three integration results were comprehensively obtained, namely, individuals and families were troubled by multiple problems, there was a strong demand for role support during the transition period, and positive coping led to role growth.Conclusions:Caregivers of patients with young-onset dementia have multiple problems and diverse care needs during the role transition period, and positive coping in this process can lead to role growth.

Objective:To analyze the predictive factors associated with late-onset sepsis(LOS) in very low birth weight infants,and to develop a risk prediction score scale applicable to these infants three days postnatal.This will provide valuable insights for early diagnosis and timely intervention.Methods:Very low birth weight infants admitted to the Children's Hospital of Fudan University from January 1,2022,to June 30,2024,were selected as research subjects.These infants were categorized into two groups:the LOS group and the non-LOS group,based on whether they developed LOS.LASSO regression analysis,alongside univariate and multivariate regression analyses,was employed to identify predictive factors for LOS in this population.A Logistic model was constructed using the optimal combination of predictive variables,and a risk assessment scale was subsequently developed.The prediction performance of the model was evaluated using the Hosmer-Lemeshow chi-square test and the receiver operating characteristic curve.Results:A total of 444 cases of very low birth weight infants were included,of which 185 had LOS and 259 did not.After screening the variables,seven independent factors were included into the model:birth weight,gestational age,tracheal intubation,abnormal skin color,abdominal distension,elevated C-reactive protein levels,and right hand perfusion index.A predictive scoring scale was developed based on the regression coefficients of each variable,with corresponding risk scores assigned as follows:1,4,3,2,1,1,and 2; a score of ≥3.5 indicated high-risk groups.The Hosmer-Lemeshow test results demonstrated that χ2 = 7.602( P = 0.473).The area under the receiver operating characteristic curve was 0.792 ( P<0.001),with a sensitivity of 73.5% and specificity of 71.0%. Conclusion:The risk score scale developed in this study exhibits significant predictive capability,providing valuable insights for clinical medical personnel to assess the risk of LOS in very low birth weight infants during the early postnatal period.

Chronic diseases in the elderly are characterised by high incidence rates and prolonged duration.Regular participation in multi-component exercise programs promotes both the physical and mental health of the elderly with chronic diseases and reduces the risk of morbidity,making it the key to prevent chronic diseases in the elderly.This review introduces the concepts of multi-component exercise,elucidates the mechanism in improvement of physical and cognitive functions and evaluates the applications as well as the advantages and disadvantages in the management of chronic diseases in the elderly.This review intends to provide references for clinicians who undertake management role of the chronic diseases in elderly populations.

Whole Genome Sequencing(WGS)technology,leveraging its significant advantages in precise microbial identification and traceability analysis,has become a core tool in international pharmaceutical microbial quality control.The release and implementation of the Guideline 9110 for Microbial Whole Genome Sequencing Technology in the Chinese Pharmacopoeia 2025 Edition marks the official entry of China's pharmaceutical microbial quality con-trol into the genomic era.Guideline 9110 establishes universal technical specifications for the application of WGS technology in pharmaceutical microbial quality control,covering laboratory general requirements,key technical parameters,technical workflow,major factors affecting sequencing results,method validation,and application guidance.This article focuses on the background of the standard's development and its technical rationale,provi-ding a systematic interpretation of key technical indicators,the scope of application,and essential points for techni-cal implementation.It aims to offer theoretical guidance and practical references for the industry in applying WGS technology.

AIM:To establish a physiological-based pharmacokinetic(PBPK)model of ertapen-em in elderly patients with chronic kidney disease,and to analyze the pharmacokinetic/pharmacody-namic index f％ T＞MIC at different doses.METH-ODS:The physicochemical properties and pharma-cokinetic characteristics of ertapenem were collect-ed by reviewing the literature and databases,and a healthy adult model was established in PKSim? software,and then extrapolated to the PBPK model of the elderly.The clinical pharmacokinetic re-search data were used to optimize and validate the model,and the mean folding error(MFE)was used as the index to evaluate the prediction perfor-mance of the model.The final model was used to simulate the in vivo exposure of elderly patients with chronic kidney disease after administration,and the pharmacokinetic/pharmacodynamic index of commonly used clinical dosing regimens was an-alyzed,and the recommended dosing regimens were given.RESULTS:The MFE of the area under the curve(AUC0-t),peak concentration(Cmax)and peak time(Tmmax)predicted by the established PBPK model of ertapenem in adults were 0.92,0.79 and 1.02,respectively,and the predicted value of the optimized PBPK model of ertapenem in the elderly was also consistent with the observed value of 0.5＜MFE＜2 standards,all of which have good predictive performance.With f％ T＞MIC greater than 40％as the drug efficacy target,the minimum inhibitory concentration(MIC)is 0.5-1 μg/mL for sensitive bacteria,and elderly patients with chronic kidney disease can consider reducing the drug dose as ap-propriate.CONCLUSION:The PBPK model of ertap-enem in elderly patients with renal insufficiency has been successfully established,and the model has good prediction performance and provides a reference for clinical personalized medication in el-derly patients with renal insufficiency.