Objective To identify the clinical characteristics and prognostic factors of young patients with sporadic rectal cancer liver metastasis(RCLM).Methods The clinical data of young RCLM patients at 45 years or under(n=40,as younger patient group)in Peking University First Hospital from January 2016 to January 2021 were reviewed,meanwhile,elder RCLM patient group were comprised of 82 patients older than 45-year-old in a 1:2 ratio.Proportions of categorical variables were compared between young patients and old patients.The clinicopathologic parameters were analyzed with univariate and multivariate Cox regression models and Kaplan-Meier method for demonstrating survival differences between the maximum diameter of liver metastasis and local therapy.Results One hundred and twenty-two RCLM patients were identified,the 1-,3-and 5-year survival rates of young patient group were 97.5%,47.5%,15.0%,those of elder patient group were 84.1%,26.8%,9.8%,respectively.The differences in BMI(P=0.008),primary tumor with obstruction and bleeding(P=0.006),synchronous rectal cancer liver metastases(P=0.005),the maximum diameter of liver metastasis>3 cm(P=0.019)were statistically significant between the two groups.And univariate and multivariate analyses showed that age(P=0.003),N stage(P=0.007),local therapy for liver metastases(P=0.047)and the maximum diameter of liver metastasis(P=0.030)were independent risk factors for influencing the prognosis of RCLM patients;curative resection or not of primary tumor(P=0.035)and the maximum diameter of liver metastasis(P=0.041)were independent risk factors for influencing the prognosis of young RCLM patients.Kaplan-Maier curve demonstrated survival differences between the maximum diameter of liver metastasis and local therapy for liver metastasis in RCLM patients(log-rank P=0.000).Conclusions Although with later staging of initial tumor station,young RCLM patients may obtain better survival benefit compared with old patients.Higher degree of lymph node metastasis,local therapy for liver metastases and the maximum diameter of liver metastasis>3 cm indicates poor prognosis in RCLM patients,and without curative resection of primary tumor and maximum diameter of liver metastasis are also considered as the independent poor prognostic factors of young RCLM patients.Local therapy for liver metastases appears to play an important role in the treatment strategy of RCLM patients.

Objective:To investigate the effect of sleep on physical performance and the correlation between sleep quality and physical performance in the elderly.Methods:In this prospective multicenter case-control study, 472 elderly people aged 60-80 years were recruited from three regions in China, Beijing, Tianjin, and Hainan Province.Basic information of study participants was collected through face-to-face interviews, and physical performance of study participants was assessed by the time up and go(TUG)test on site, with 106 cases(22.5%)in the normal physical performance group and 366 cases(77.5%)in the abnormal group.The Pittsburgh Sleep Quality Index(PSQI)and the Epworth Sleepiness Scale(ESS)were applied to assess sleep quality of study subjects.Correlation analysis was performed to examine factors affecting subjects' physical performance.Results:Age, history of alcohol consumption, BMI, past medical history, the ESS score, daytime sleepiness, and some components of PSQI, such as sleep quality, sleep efficiency, sleep disturbances, use of sleeping drugs and daytime dysfunction, were influencing factors of the TUG score.Two components of PSQI, sleep duration and habitual sleep efficiency, and the ESS score were positively correlated with physical performance.Logistic regression analysis showed that risk factors for decreased physical performance in the elderly included increased age( OR=1.125, 95% CI: 1.083-1.168, P<0.01), history of alcohol consumption( OR=0.482, 95% CI: 0.384-0.605, P<0.001), abnormally high body mass index( OR=1.663, 95% CI: 1.340-2.063, P<0.01), hyperlipemia( OR=0.156, 95% CI: 0.077-0.318, P<0.01), digestive system diseases( OR=0.154, 95% CI: 0.044-0.532, P<0.01), use of sleeping drugs( OR=0.415, 95% CI: 0.202-0.854, P<0.05), daytime sleepiness( OR=4.234, 95% CI: 2.800-6.403, P<0.01), a high habitual sleep efficiency score of PSQI( OR=1.425, 95% CI: 1.214-1.672, P<0.01)and a high sleep disturbances score in PSQI( OR=3.356, 95% CI: 2.337-4.819, P<0.01). Conclusions:The incidence of physical performance decline is high in the elderly.There is a correlation between physical performance and sleep quality.

OBJECTIVE To establish the ultra-high liquid chromatography （UPLC） characteristic spectrum of Uncariae Ramulus Cum Uncis from different producing areas， to conduct chemical pattern recognition analysis， and to identify the medicinal materials of their different origins and counterfeit products. METHODS UPLC method was adopted to establish the characteristic spectra of 43 batches of Uncariae Ramulus Cum Uncis from different origins； cluster analysis combined with principal component analysis were used to analyze their quality； Uncariae Ramulus Cum Uncis from different origins and counterfeit products were identified. RESULTS UPLC specific spectrum of Uncariae Ramulus Cum Uncis was established， and 13 common peaks were calibrated； peak 2 was identified as catechin， peak 3 as chlorogenic acid， peak 4 as cryptochlorogenic acid， peak 7 as isochlorogenic acid B， peak 8 as isodehydroguotenine， peak 9 as isooguotenine， peak 10 as dehydroguotenine， peak 11 as isochlorogenic acid C， peak 12 as goutenine， and peak 13 as camptothecin. Through cluster analysis， the medicinal materials of 43 batches of Uncariae Ramulus Cum Uncis could be divided into 5 categories according to their different origins. Further principal component analysis revealed that the principal component comprehensive scores of Uncariae Ramulus Cum Uncis produced in Jiangxi and Hunan were relatively high， ranging from 0.264 to 2.904. The specific chromatogram could effectively distinguish among the different origins and their counterfeit products of Uncariae Ramulus Cum Uncis. CONCLUSIONS The established UPLC specific chromatogram can be used for quality control of Uncariae Ramulus Cum Uncis， and the study found that the quality of Uncariae Ramulus Cum Uncis from Jiangxi and Hunan provinces is relatively good.

Objective:To analyze the efficacy and feasibility of performing a new surgical procedure, tunnel esophagogastrostomy, to perform proximal gastrectomy.Methods:The study cohort comprised 10 consecutive patients who had undergone esophagogastrostomy by the tunnel technique in Jiangsu Cancer Hospital between October 2019 and July 2022. All patients were male. Their average age was (64.2±8.1) years and body mass index (25.5±3.2) kg/m2. Nine had upper gastric body adenocarcinoma, the remaining one having signet ring cell carcinoma. TNM staging of the tumors showed that seven were Stage IA, one Stage IB, one Stage IIA, and one Stage IIIA. Briefly, tunnel esophagogastrostomy is performed as follows: After performing a proximal gastrectomy, a rectangular seromuscular flap (3.0 cm × 3.5 cm) is created. The posterior esophageal wall is sutured to the gastric wall at the orad end of the seromuscular flap 5 cm from the stump with three to four stitches. Next, the stump of the esophagus is opened, the posterior esophageal wall is sutured to the gastric mucosa and submucosa, and the anterior esophageal wall is sutured to the full layer of the stomach. Finally, the caudad end of the seromuscular flap is closed. Data on surgical safety, postoperative morbidity, and postoperative reflux esophagitis were analyzed. All enrolled patients completed endoscopic follow-up 1 year and 2 years after surgery.Results:All procedures were completed. They comprised four cases of laparoscopic assisted surgery, four of DaVinci robotic surgery, and two of open surgery. The mean operation time was 212.7±33.2 mins, mean anastomosis time (51.6±5.3) minutes, mean tunnel preparation time (20.0±3.5) minutes, and mean operative blood loss (90.0±51.6) mL. The time to first postoperative passage of flatus was (64.8±11.5) hours. The mean hospital stay after surgery was (9.2±1.7) days. There were no postoperative complications above Clavien-Dindo Grade II. The mean preoperative Reflux Disease Questionnaire score was (3.3± 0.4) before the surgery, (3.8±1.0) 1 month postoperatively, and (3.3±0.4) 12 months postoperatively. All patients underwent endoscopic follow-up; no anastomotic stenoses were found. However, one patient had Grade A reflux esophagitis 1 year after surgery and another Grade B reflux esophagitis 2 years after surgery.Conclusion:Esophagogastrostomy by the tunnel technique is a safe and feasible means of performing proximal gastrectomy.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective To investigate the epidemiological and clinical characteristics of 954 cases of central nervous system(CNS)infections in Chongqing.Methods A retrospective analysis was conducted on 954 patients with CNS infectious disease diagnosed and treated in the Second Affiliated Hospital of Army Medical University from 2008 to 2021.The analysis encompassed pathogens,patient gender,age of onset,time of onset,urban-rural distribution,education level,occupational distribution,and other epidemiological characteristics.The clinical manifestations,the positive rate of metagenomic next-generation sequencing(mNGS),and prognosis were also analyzed.Results Among the 945 cases of CNS infectious diseases,the pathogens were viruses in 393(41.2%),Mycobacterium tuberculosis in 361(37.8%),other bacteria in 108(11.3%),Cryptococcus in 75(7.9%),Treponema pallidum in 16(1.7%)and parasites in 1(0.1%).The number of CNS infection cases from 2015 to 2021 increased by 85.6%compared with that from 2008 to 2014(620 vs.334,P<0.001).There was no significant difference in seasonal distribution of pathogens(P>0.05).CNS infectious diseases were more prevalent in rural areas(58.0%,P<0.001),with a male-to-female ratio of 1.7:1.0,and a higher incidence in individuals aged between 35 and 60 years.The majority of patients were educated at Junior high school level or below(68.7%)and were farmers or workers(68.1%).Clinical symptoms of CNS infectious disease mainly included fever,headache,signs of meningeal irritation,nausea and vomiting,which could be accompanied by consciousness disorder and focal neurological deficits.mNGS significantly improves the accuracy of clinical diagnosis.The rate of good prognosis of CNS infectious diseases was 97.5%,while the mortality rate was 0.3%.Conclusions In Chongqing area,the categories and species of CNS infectious pathogens are diverse,widely prevalent,and the clinical manifestations are complex.Moreover,the number of cases has been increasing in recent years.Understanding the epidemiological and clinical characteristics of CNS infectious diseases can help to recognize the regional differences,promote early accurate diagnosis and treatment,and improve prognosis.

Human brain banks use a standardized protocol to collect,process and store post-mortem human brains and related tissues,along with relevant clinical information,and to provide the tissue samples and data as a resource to foster neuroscience research according to a standardized operating protocols(SOP).Human brain bank serves as the foundation for neuroscience research and the diagnosis of neurological disorders,highlighting the crucial rule of ensuring the consistency of standardized quality for brain tissue samples.The first version of SOP in 2017 was published by the China Human Brain Bank Consortium.As members increases from different regions in China,a revised SOP was drafted by experts from the China Human Brain Bank Consortium to meet the growing demands for neuroscience research.The revised SOP places a strong emphasis on ethical standards,incorporates neuropathological evaluation of brain regions,and provides clarity on spinal cord sampling and pathological assessment.Notable enhancements in this updated version of the SOP include reinforced ethical guidelines,inclusion of matching controls in recruitment,and expansion of brain regions to be sampled for neuropathological evaluation.