Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Objective To investigate the differences of cerebral vascular morphology and serum indexes between patients with vascular cognitive impairment no dementia(VCIND)and cognitively normal cerebral vascular disease.Methods A total of 100 VCIND patients hospitalized in Quzhou Hospital of Zhejiang Medical and Health Group from June 2023 to September 2024 were included in experimental group,and 100 cognitively normal patients with cerebral vascular disease hospitalized during the same period were included in control group.Cerebral artery extension and dilation,cerebrovascular stenosis,collateral circulation establishment,inflammatory factors and lipid metabolism indexes were compared between two groups by means of cerebrovascular angiography and serum examination.The relationship between the severity of cognitive impairment and the vascular lesion of different responsibility was also explored.Results The rate of cerebral artery extension and dilation,rate of vascular stenosis in experimental group were higher than those in control group,and the rate of collateral circulation establishment was lower than that in control group(P＜0.05).The levels of interleukin-6,interleukin-1 β,tumor necrosis factor-α,total cholesterol,low density lipoprotein,apolipoprotein B and lipoprotein(a)in experimental group were significantly higher than those in control group,level of high density lipoprotein was lower than that in control group(P＜0.05).In experimental group,there were 20 cases of anterior cerebral artery vascular disease,22 cases of middle cerebral artery vascular disease,26 cases of posterior cerebral artery vascular disease,32 cases of vertebrobasilar artery vascular disease.There were no significant differences in the scores of mini-mental state examination,Montreal cognitive assessment and Hachinski ischemic scale among patients with different responsible vascular diseases(P＞0.05).Conclusion Patients with cerebral artery extension and dilation,cerebral artery stenosis,no establishment of collateral circulation,inflammatory response and abnormal lipid metabolism were high-risk groups for VCIND.Such patients need early cognitive intervention to prevent VCIND occurrence.

Objective: To investigate the influencing factors for delay in healthcare-seeking, definitive diagnosis and identification in patients with pulmonary tuberculosis (PTB) in Minhang District, Shanghai Municipality, so as to provide the basis for effectively reducing delay in PTB patients. Methods: Data of PTB patients in Minhang District from 2017 to 2022 were collected from the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were analyzed, and factors affecting delay in healthcare-seeking, definitive diagnosis and identification were identified using multivariable logistic regression models. Results: A total of 4 214 PTB patients were reported in Minhang District from 2017 to 2022, including 2 802 males and 1 412 females, with a male-to-female ratio of 1.98∶1. The majority of patients were aged 25 to <45 years (1 664 cases, 39.49%). The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were 36.81%, 30.21% and 38.09%, respectively. Delay in healthcare-seeking was associated with the year (2018, OR=0.708; 2019, OR=0.549; 2020, OR=0.670; 2021, OR=0.682), gender (female, OR=1.199), occupation (worker, OR=1.379; housekeeping service/housework/unemployed, OR=1.481), case identification route (symptom-based consultation, OR=11.159), and level of the first-diagnosed hospital (city-level, OR=1.528). Delay in definitive diagnosis was associated with age (45 to <65 years, OR=1.476), occupation (commercial service, OR=0.687; housekeeping service/housework/unemployed, OR=0.672), household registration (non-local, OR=0.820), case identification route (symptom-based consultation, OR=0.616), pathogen test result (negative/not tested, OR=1.903), and the level of the first-diagnosed hospital (city-level, OR=0.311). Delay in identification was associated with the year (2018, OR=0.785; 2019, OR=0.647; 2020, OR=0.790; 2021, OR=0.710), occupation (commercial service, OR=0.687), household registration (non-local, OR=0.848) and level of the first-diagnosed hospital (city-level, OR=0.560) Conclusions Year, gender, occupation, case identification route and level of the first-diagnosed hospital are influencing factors for delay in healthcare-seeking in PTB patients. Age, occupation, household registration, case identification route, pathogen test result and level of the first-diagnosed hospital are influencing factors for delay in definitive diagnosis. Year, occupation, household registration and level of the first-diagnosed hospital are influencing factors for delay in identification.

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

Objective To investigate the differences of cerebral vascular morphology and serum indexes between patients with vascular cognitive impairment no dementia(VCIND)and cognitively normal cerebral vascular disease.Methods A total of 100 VCIND patients hospitalized in Quzhou Hospital of Zhejiang Medical and Health Group from June 2023 to September 2024 were included in experimental group,and 100 cognitively normal patients with cerebral vascular disease hospitalized during the same period were included in control group.Cerebral artery extension and dilation,cerebrovascular stenosis,collateral circulation establishment,inflammatory factors and lipid metabolism indexes were compared between two groups by means of cerebrovascular angiography and serum examination.The relationship between the severity of cognitive impairment and the vascular lesion of different responsibility was also explored.Results The rate of cerebral artery extension and dilation,rate of vascular stenosis in experimental group were higher than those in control group,and the rate of collateral circulation establishment was lower than that in control group(P＜0.05).The levels of interleukin-6,interleukin-1 β,tumor necrosis factor-α,total cholesterol,low density lipoprotein,apolipoprotein B and lipoprotein(a)in experimental group were significantly higher than those in control group,level of high density lipoprotein was lower than that in control group(P＜0.05).In experimental group,there were 20 cases of anterior cerebral artery vascular disease,22 cases of middle cerebral artery vascular disease,26 cases of posterior cerebral artery vascular disease,32 cases of vertebrobasilar artery vascular disease.There were no significant differences in the scores of mini-mental state examination,Montreal cognitive assessment and Hachinski ischemic scale among patients with different responsible vascular diseases(P＞0.05).Conclusion Patients with cerebral artery extension and dilation,cerebral artery stenosis,no establishment of collateral circulation,inflammatory response and abnormal lipid metabolism were high-risk groups for VCIND.Such patients need early cognitive intervention to prevent VCIND occurrence.

Objective:To construct an evaluation index system for medical digital subtraction angiography(DSA)equipment in hospitals,and to provide support and reference for the procurement,maintenance and care of hospital equipment.Methods:The DSA equipment evaluation index system was established by Delphi method by using online and offline questionnaire surveys,focus interviews and expert consultations,and the weight of each index of the equipment evaluation was determined by analytic hierarchy process(AHP).Results:The constructed evaluation index system included 5 primary indicators and 26 second-level indicators of system and technical performance,software and safety,machine quality,after-sales service and supplier qualification.The weights of the 5 primary indicators were 0.2954,0.2359,0.2037,0.2072 and 0.0557,respectively.The top 3 weights of the second-level indicators combinations from large to small were accuracy and stability(0.1180),startup rate and failure rate(0.1058)and equipment repair time(0.0804).After the application of the evaluation index system for after-sales service selection,the after-sales service response time was shortened from the average 48.6 h before application to 12.09 h,the response time was shortened by 75.12%,and the service satisfaction of clinical departments with equipment manufacturers was increased from 74.98%before application to 97.37%.Conclusion:The DSA equipment evaluation index system based on Delphi method and AHP can transform subjective evaluation indicators into objective and quantified indicators,which can standardize the formulation of DSA equipment bidding evaluation measures for clinical departments in hospitals,and provide scientific theoretical support for hospital equipment procurement and maintenance.

Background::There is a need for effective and safe therapies for psoriasis that provide sustained benefits. The aim of this study was to assess the efficacy and safety of tildrakizumab, an anti-interleukin-23p19 monoclonal antibody, for treating moderate-to-severe plaque psoriasis in Chinese patients.Methods::In this multi-center, double-blind, phase III trial, patients with moderate-to-severe plaque psoriasis were enrolled and randomly assigned (1:1) to receive subcutaneous tildrakizumab 100 mg or placebo at weeks 0 and 4. Patients initially assigned to placebo were switched to receive tildrakizumab at weeks 12, 16, and every 12 weeks thereafter. Patients in the tildrakizumab group continued with tildrakizumab at week 16, and every 12 weeks until week 52. The primary endpoint was the Psoriasis Area and Severity Index (PASI 75) response rate at week 12.Results::At week 12, tildrakizumab demonstrated significantly higher PASI 75 response rates (66.4% [73/110] vs. 12.7% [14/110]; difference, 51.4% [95% confidence interval (CI), 40.72, 62.13]; P <0.001) and Physician’s Global Assessment (60.9% [67/110] vs. 10.0% [11/110]; difference, 49.1% [95% CI, 38.64, 59.62]; P <0.001) compared to placebo. PASI 75 response continued to improve over time in both tildrakizumab and placebo-switching to tildrakizumab groups, reaching maximal efficacy after 28 weeks (86.8% [92/106] vs. 82.4% [89/108]) and maintained up to 52 weeks (91.3% [95/104] vs. 87.4% [90/103]). Most treatment-emergent adverse events were mild and not related to tildrakizumab. Conclusion::Tildrakizumab demonstrated durable efficacy through week 52 and was well tolerated in Chinese patients with moderate-to-severe plaque psoriasis.Trial registration::ClinicalTrials.gov, NCT05108766.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

Objective To use the ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)to authenticate the chemical composition of Morinda citrifolia,and further experiments verify that Morinda citrifolia regulate miR-223-3p/NLRP3 signaling pathway to inhibit the inflammatory response in rats with polycystic ovary syndrome(PCOS).Methods Use UPLC-MS/MS analyze the chemical composition of Morinda citrifolia.SD female rats were randomly divided into three groups:normal control group(n=5),PCOS model group(n=5)and Morinda citrifolia gavage group(n=5).HE staining observe the morphology of ovarian histology,ELISA method detect the expression levels of testosterone(T),luteinizing hormone(LH),follicle stimulating hormone(FSH),interleukin(IL)-1βand IL-18,RT-qPCR detect the mRNA expression of miR-223-3p and NLRP3,and Western blot detect the protein expression of NLRP3.Results UPLC-MS/MS identify 641 chemical composition of Morinda citrifolia,including luteolin,Apigenin,emodin and other composition.Compared with the normal control group,the number of cell layers of ovarian granule in the PCOS model group is reduced,and follicular cystic dilation,atresia follicles increased,T and LH levels increased(P<0.05),FSH levels decreased(P<0.05),IL-18 and IL-1β levels increased(P<0.05),and ovarian tissue miR-223-3p mRNA expression decreased(P<0.01),NLRP3 mRNA and protein expression increased(P<0.01)in PCOS model group.Compared with the PCOS model group,the proportion of follicles at all levels is normal,the number of granule cell layers increased,T and LH levels decreased(P<0.05),FSH levels increased(P<0.05),IL-18 and IL-1β levels decreased(P<0.05),miR-223-3p mRNA expression in ovarian tissue increased((P<0.05),NLRP3 mRNA and protein expression decreased(P<0.05)in Morinda citrifolia gavage group.Conclusion Morinda citrifolia can improve the ovary pathological state of PCOS rats,change the abnormal sex hormones and reduce the levels of inflammatory factors IL-18 and IL-1β.The mechanism maybe regulate the miR-223-3p/NLRP3 signaling pathway to inhibit the inflammatory response in PCOS rats.