Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P＜0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P＜0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P＜0.05),which was higher than that in the latter produced by manufacturer B(P＜0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P＞0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P＜0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P＜0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P＜0.05),which was higher than that in the latter produced by manufacturer B(P＜0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P＞0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.

Objective To clarify the understanding of types of laboratories and manufacturers for GB 9706.1-2020 Medical electrical equipment-Part 1:General requirements for basic safety and essential performance by laboratory proficiency testing for creepage distance and electrical clearance test.Methods An operation guide was formed according to the testing program in GB 9706.1-2020,and the homogeneity and stability of the samples were evaluated according to CNAS-GL003:2018 Guidance on Evaluating the Homogenneity and Stability of Samples Used for Proficiency Testing.Robust statistic methods were used to assess the quantitative parameters of the test results of the participating laboratories according to the requirements in GB/T 28043-2019 Statistical methods for use in proficiency testing by interlaboratory comparison;the results reported by the expert laboratories were used as the specified values of the qualitative parameters.SPSS 25.0 statistical software was used for data analysis.Results All the results of the crreepage distance and electrical clearance tests met the requirements for homogeneity and stability.Of the 46 laboratories involved in,37 ones did have comprehensive satisfactory determinations while the remained 9 ones not.Conclusion Some laboratories don't behave well in understanding the standard,which have to be reformed accordingly to enhance their proficiencies.[Chinese Medical Equipment Journal,2024,45(10):54-59]

The density and composition of lymphocytes infiltrating colon tumors serve as predictive factors for the clinical outcome of colon cancer.Our previous studies highlighted the potent anti-cancer properties of the principal compounds found in Garcinia yunnanensis(YTE-17),attributing these effects to the regu-lation of multiple signaling pathways.However,knowledge regarding the mechanism and effect of YTE-17 in the prevention of colorectal cancer is limited.In this study,we conducted isobaric tags for relative and absolute quantification(iTRAQ)analysis on intestinal epithelial cells(IECs)exposed YTE-17,both in vitro and in vivo,revealing a significant inhibition of the Wnt family member 5a(Wnt5a)/c-Jun N-terminal kinase(JNK)signaling pathway.Subsequently,we elucidated the influence and mechanism of YTE-17 on the tumor microenvironment(TME),specifically focusing on macrophage-mediated T helper 17(Th17)cell induction in a colitis-associated cancer(CAC)model with Wnt5a deletion.Additionally,we performed the single-cell RNA sequencing(scRNA-seq)on the colonic tissue from the Wnt5a-deleted CAC model to characterize the composition,lineage,and functional status of immune mesenchymal cells during different stages of colorectal cancer(CRC)progression.Remarkably,our findings demon-strate a significant reduction in M2 macrophage polarization and Th17 cell phenotype upon treatment with YTE-17,leading to the restoration of regulatory T(Treg)/Th17 cell balance in azoxymethane(AOM)/dextran sodium sulfate(DSS)model.Furthermore,we also confirmed that YTE-17 effectively inhibited the glycolysis of Th17 cells in both direct and indirect co-culture systems with M2 macrophages.Notably,our study shed light on potential mechanisms linking the non-canonical Wnt5a/JNK signaling pathway and well-established canonical β-catenin oncogenic pathway in vivo.Specifically,we proposed that Wnt5a/JNK signaling activity in IECs promotes the development of cancer stem cells with β-catenin activity within the TME,involving macrophages and T cells.In summary,our study undergoes the po-tential of YTE-17 as a preventive strategy against CRC development by addressing the imbalance with the immune microenvironment,thereby mitigating the risk of malignancies.

This study was aimed at summarizing the epidemiological characteristics and spatial-temporal changes of hemorrhagic fever with renal syndrome(HFRS)in Hubei Province,China from 2005 to 2021,to provide scientific evi-dence for HFRS prevention and control.Data on individual HFRS cases and population information in Hubei Province from 2005 to 2021 were collected from the China Disease Pre-vention and Control Information System.The temporal,spa-tial,and demographic distribution characteristics of HFRS cases are described,and statistical methods such as medians,rates,and composition ratios were used for analysis.Joinpoint re-gression and Spearman's rank correlation were used to analyze the temporal trends in incidence rates or composition ratios.Global autocorrelation and hotspot analysis were conducted for spatial clustering analysis.Binary logistic regression was per-formed to analyze risk factors for HFRS mortality.A total of 5 790 HFRS cases were reported from 2005 to 2021,including 117 deaths.The average annual incidence rate was 0.57 per 100 000 population,and the case fatality rate was 2.02％.The overall incidence rate of HFRS in Hubei Province showed an increasing trend(AAPC=4.05％,95％CI:1.32％-6.78％),whereas the case fatality rate showed a decreasing trend over the years(r,=-0.72,P=0.002).HFRS exhibited a bimodal pattern,with peaks in the spring/summer months(May to July)and in the autumn/winter months(November to January of the following year).The incidence rate during the autumn/winter peak was slightly higher than that in the spring/summer peak.The incidence rate in males was higher than in females(RR=2.96,95％CI:2.79-3.14).The three age groups with the highest incidence rates were 60-64 years(747 cases,1.55 per 100 000),65-69 years(515 cases,1.39 per 100 000),and 55-59 years(762 cases,1.23 per 100 000).The incidence rate(2005:0.05 per 100 000;2021:0.08 per 100 000)and proportion(2005:2.69％;2021:1.94％)of HFRS cases in individuals 14 years or younger showed no significant trend over the years(AAPC=0.14％,95％CI:-0.03％-0.31％;AAPC=-3.64％,95％CI:-8.79％-1.50％).The incidence rate(2005:0.58 per 100 000;2021:1.59 per 100 000)and proportion(2005:14.80％;2021:44.31％)in the age group of 60 years or a-bove showed an increasing trend over the years(AAPC=10.52％,95％CI:4.38％-16.66％;AAPC=175.98％,95％CI:143.20％-208.75％).HFRS cases exhibited significant spatial clustering(P＜0.05).The hotspots of HFRS in Hubei Province shifted from the northern region(Xiangyang,Suizhou,Jingmen)in 2005-2007 to the southern region(Qianjiang,Xiantao,Tianmen,Jingzhou)in 2020-2021.Older age(OR=1.02,95％CI:1.01-1.04)and the period of 2005-2008 versus 2017-2021(OR=0.98,95％CI:0.97-0.99)were associated with relatively higher risk of HFRS mortality.In recent years,the HFRS epidemic in Hubei Province has continued to escalate,and areas such as Qianjiang City and other ares in the middle and lower reaches of the Yangtze River have experienced high incidence rates.The population 60 years of age or above is gradually becoming more susceptible to the disease.Targeted measures should be implemented to curb the rising trend of HFRS.

Objective To provide pharmaceutical monitoring using the Pharmaceutical Care Network Europe(PCNE)for patients with respiratory diseases,to explore effective pharmaceutical monitoring models in the department of respiratory,and to promote clinical rational drug use.Methods Inpatients diagnosed with chronic obstructive pulmonary disease(COPD)and lung infections in 2022 at the First Affiliated Hospital of Anhui University of Science and Technology were selected and divided into a simple group and an intervention group.According to the PCNE classification system,the types,causes,interventions,acceptance of interventions,and resolution status of drug-related problems(DRPs)were analyzed.Results A total of 120 cases were included,60 cases in the simple group and 60 cases in the intervention group.Regarding the number of DRPs,there were 15 cases in the simple group and 45 cases in the intervention group,and there was a significant difference between the two groups(P<0.05).There were a total of 82 DRPs,which were mainly related to therapeutic efficacy(51.22%)and safety(46.34%),and the reasons for this were that patients'incorrect medication usage method,inappropriate usage and dosage,and unscheduled safety monitoring,etc.The pharmacist interventions were 75(91.46%)at the drug level,38(46.34%)at the physician level,and 43(52.44%)at the patient level;after the pharmacist interventions,the acceptance rate was in the range of 97.56%,and 74.39%of the DRPs were resolved.Conclusion PCNE classification system helps clinical pharmacists to enhance their ability to find and deal with DRPs,reduce the risk of clinical adverse events and promote reasonable and safe drug use.Meanwhile,it is conducive to the standardization of pharmaceutical care records for patients with respiratory diseases and provides reference for pharmaceutical service models for patients in the department of respiratory.

Objective: To analyze the status of statins use and low-density lipoprotein cholesterol (LDL-C) management in patients with atrial fibrillation (AF) and very high/high risk of atherosclerotic cardiovascular disease (ASCVD) from Chinese Atrial Fibrillation Registry (CAFR). Methods: A total of 9 119 patients with AF were recruited in CAFR between January 1, 2015 to December 31, 2018, patients at very high and high risk of ASCVD were included in this study. Demographics, medical history, cardiovascular risk factors, and laboratory test results were collected. In patients with very high-risk, a threshold of 1.8 mmol/L was used as LDL-C management target and in patients with high risk, a threshold of 2.6 mmol/L was used as LDL-C management target. Statins use and LDL-C compliance rate were analyzed, multiple regression analysis was performed to explore the influencing factors of statins use. Results: 3 833 patients were selected (1 912 (21.0%) in very high risk of ASCVD group and 1 921 (21.1%) in high risk of ASCVD group). The proportion of patients with very high and high risk of ASCVD taking statins was 60.2% (1 151/1 912) and 38.6% (741/1 921), respectively. Attainment rate of LDL-C management target in patients with very high and high risk were 26.7% (511/1 912) and 36.4% (700/1 921), respectively. Conclusion: The proportion of statins use and attainment rate of LDL-C management target are low in AF patients with very high and high risk of ASCVD in this cohort. The comprehensive management in AF patients should be further strengthened, especially the primary prevention of cardiovascular disease in AF patients with very high and high risk of ASCVD.
Humans ; Atrial Fibrillation/drug therapy* ; Cardiovascular Diseases ; Cholesterol, LDL ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use* ; Atherosclerosis ; Dyslipidemias/drug therapy*

Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve