Objective:To describe the epidemiological characteristics of 22 common respiratory patho-gens in patients with pneumonia in Yinzhou,Ningbo,from January 1,2015 to December 21,2024.Methods:The test data of 22 common respiratory pathogens in patients diagnosed with pneumonia or lung infection in the Yinzhou Regional Health Information Platform from January 1,2015 to December 21,2024 were collected.The positive cases,positive rates,and positive proportions were calculated.The epidemiological characteristics were described by the year,sex,age group,season,and coronavirus disease 2019(COVID-19)pandemic period.Results:A total of 77 531 pneumonia patients were included,with 492 696 respiratory pathogen tests performed.The number of respiratory pathogen tests and positive cases of pneumonia patients in Yinzhou showed an upward trend.In the study,34.63％of the pneumo-nia patients tested positive for at least one pathogen,and the pathogen non-detection rate decreased from 79.44％in 2015 to 58.38％in 2024.The overall pathogen positive rate was 9.12％,which decreased during the COVID-19 pandemic and had not returned to the historical level after the COVID-19 pande-mic.The positive rate was highest in children aged 6-17 years(13.99％),and lowest in the elderly over 60 years(4.16％).The top 3 highest number of positive cases was Mycoplasma pneumoniae,influenza A virus,and influenza B virus;the top 3 highest positive rates of pathogen tests were Mycoplasma pneu-moniae(25.26％),rhinovirus(12.02％),and Bordetella pertussis(11.66％).The pathogen spectrum proportion in men was similar to that in women,only showing a higher ratio of Mycobacterium tuberculosis and a slightly lower ratio of Mycoplasma pneumoniae(P＜0.001).Mycoplasma pneumoniae,respiratory syncytial virus,and rhinovirus infections were more common in children,while influenza virus,Mycobac-terium tuberculosis,and Streptococcus pyogenes infections were more common in adults and the elderly(P＜0.001).Influenza virus and human metapneumovirus infections were more common in winter,rhi-novirus and Bordetella pertussis infections were more common in spring,and Mycoplasma pneumoniae in-fections were relatively more common in fall(P＜0.001).After the COVID-19 pandemic,the propor-tions of rhinovirus,respiratory syncytial virus,and human metapneumovirus infections in the pneumonia patients increased signi-ficantly,reaching 7.53％,4.26％,and 2.25％,respectively,while the propor-tions of influenza B virus and Mycobacterium tuberculosis infections decreased to 4.14％and 2.80％,re-spectively(P＜0.001).Conclusion:In the past decade,the scale of respiratory pathogen infection in the pneumonia population in Yinzhou had expanded significantly,and there were differences in distribu-tion by the year,gender,age group,and season.The respiratory pathogen spectrum in pneumonia pa-tients after the COVID-19 pandemic had a trend of diversification.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective:To describe the epidemiological characteristics of 22 common respiratory patho-gens in patients with pneumonia in Yinzhou,Ningbo,from January 1,2015 to December 21,2024.Methods:The test data of 22 common respiratory pathogens in patients diagnosed with pneumonia or lung infection in the Yinzhou Regional Health Information Platform from January 1,2015 to December 21,2024 were collected.The positive cases,positive rates,and positive proportions were calculated.The epidemiological characteristics were described by the year,sex,age group,season,and coronavirus disease 2019(COVID-19)pandemic period.Results:A total of 77 531 pneumonia patients were included,with 492 696 respiratory pathogen tests performed.The number of respiratory pathogen tests and positive cases of pneumonia patients in Yinzhou showed an upward trend.In the study,34.63％of the pneumo-nia patients tested positive for at least one pathogen,and the pathogen non-detection rate decreased from 79.44％in 2015 to 58.38％in 2024.The overall pathogen positive rate was 9.12％,which decreased during the COVID-19 pandemic and had not returned to the historical level after the COVID-19 pande-mic.The positive rate was highest in children aged 6-17 years(13.99％),and lowest in the elderly over 60 years(4.16％).The top 3 highest number of positive cases was Mycoplasma pneumoniae,influenza A virus,and influenza B virus;the top 3 highest positive rates of pathogen tests were Mycoplasma pneu-moniae(25.26％),rhinovirus(12.02％),and Bordetella pertussis(11.66％).The pathogen spectrum proportion in men was similar to that in women,only showing a higher ratio of Mycobacterium tuberculosis and a slightly lower ratio of Mycoplasma pneumoniae(P＜0.001).Mycoplasma pneumoniae,respiratory syncytial virus,and rhinovirus infections were more common in children,while influenza virus,Mycobac-terium tuberculosis,and Streptococcus pyogenes infections were more common in adults and the elderly(P＜0.001).Influenza virus and human metapneumovirus infections were more common in winter,rhi-novirus and Bordetella pertussis infections were more common in spring,and Mycoplasma pneumoniae in-fections were relatively more common in fall(P＜0.001).After the COVID-19 pandemic,the propor-tions of rhinovirus,respiratory syncytial virus,and human metapneumovirus infections in the pneumonia patients increased signi-ficantly,reaching 7.53％,4.26％,and 2.25％,respectively,while the propor-tions of influenza B virus and Mycobacterium tuberculosis infections decreased to 4.14％and 2.80％,re-spectively(P＜0.001).Conclusion:In the past decade,the scale of respiratory pathogen infection in the pneumonia population in Yinzhou had expanded significantly,and there were differences in distribu-tion by the year,gender,age group,and season.The respiratory pathogen spectrum in pneumonia pa-tients after the COVID-19 pandemic had a trend of diversification.

Objective:To assess the diagnostic value of whole-lesion intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) in differentiating benign and malignant thyroid nodules based on turbo spin echo (TSE) sequence.Methods:Totally 57 patients with thyroid nodules diagnosed by pathology were prospectively collected at the Affiliated Lianyungang Hospital of Xuzhou Medical University from March 2019 to December 2019. A total of 62 nodules were included for analysis, including 27 benign nodules and 35 malignant nodules. All patients underwent routine MRI scan and IVIM-DWI based on TSE sequence before surgery. The regions of interest were drawn along the edge of the lesion on multiple consecutive slices to cover the entire nodule, and the apparent diffusion coefficient (ADC), diffusivity (D), pseudo-diffusivity (D *) and quantitation of perfusion fraction (f) values were measured, and the mean value of the multilayer measurement was recorded for further analysis. The differences of the parameters between benign and malignant thyroid nodules were analyzed using independent samples ttest (normal distribution) and Mann-Whitney U test (non-normal distribution). The diagnostic efficacy of parameters with statistical significance was evaluated using the receiver operating characteristics (ROC) curve. Results:The ADC, D and D *values in the malignant nodules were lower than those in benign nodules, the differences were statistically significant ( t=3.821, P=0.001; t=2.034, P=0.046).There were no statistical differences of D * and f values ( t=-1.170, P=0.247; Z=-0.559, P=0.577).The optimal cut-off values of ADC and D were 1.90×10 -3mm 2/s and 1.10×10 -3mm 2/s, with both sensitivity of 81.5%, specificity of 73.5% and 61.8%, respectively. The area under ROC curve of ADC and D were 0.782 and 0.688, and the statistical difference was found ( Z=2.098, P=0.040). Conclusion:The whole-lesion IVIM parameters (ADC and D) based on the TSE sequence provide imaging features for preoperative differentiation of benign and malignant nodules of the thyroid gland.

Objective To evaluate the efficacy of the traditional Chinese medicine NAOAN capsule in primary prevention of stroke in high?risk populations. Methods A multicenter, randomized controlled study was performed in community setting, involving 1 088 individuals at high risk of stroke, with cerebrovascular function scores<75 and 10?year Framingham stroke risk ≥6%. Subjects were recruited in communities at Beijing, Shanghai, Changsha, and Chengdu communities, through resident committees or the village unit. A total of 559 subjects were randomized into a group treated with the NAOAN capsule, and 529 subjects in an aspirin treatment group. Follow?up was performed every 2 months for 2 years. At the mid?point and end of the intervention, we compared cerebrovascular function differences between the 2 groups. Results During the 2?year community trial, 531 subjects in the NAOAN capsule group and 465 in the aspirin group followed the protocol. Cerebrovascular function scores increased from 45.2±19.7 at baseline to 61.7±26.5 after the 2?year trial (t=－12.931, P<0.001) in the NAOAN capsule group, and from 47.2±18.9 at baseline to 53.7 ± 25.1 (t=－5.058, P<0.001) in the aspirin group; greater increases in cerebrovascular function scores were found in the NAOAN capsule group than that in the aspirin group (t=4.906, P<0.001). Conclusions Cerebrovascular function in individuals at high risk of stroke was improved by taking NAOAN capsule. Cerebrovascular function scores improved more with NAOAN capsules than with aspirin.

Objective To use a measurement tool to assess systematic reviews (AMSTAR) to assess the methodological quality of published meta-analyses of intravenous fish oil interventions on clinical outcomes in postoperative or intensive care unit (ICU) patients supported with parenteral nutrition (PN).Methods PubMed,EMBASE,Cochrane Library,Web of Science,Chinese Biomedical Databases,China National Knowledge Infrastructure,Wanfang Database,and some other databases were searched to retrieve the eligible studies published from January 1996 to September 2013,and the relevant journals and the references of included studies were also retrieved manually.The studies were included if they were systematic reviews or meta-analyses that evaluated the effects of fish oil-enriched PN and standard PN for postoperative or ICU patients on clinical outcome.Two reviewers screened the literature according to the inclusion criteria and extracted the data.Then the AMSTAR was used to evaluate the quality of the included studies.Results A total of five relevant meta analyses were included.Based on AMSTAR,two studies were of high quality,one of moderate quality,and the other two were of low quality.Conclusions The methodological quality of these five published metaanalyses of intravenous fish oil interventions is uneven.Further large-scale and high-quality randomized controlled trials about the impact of intravenous fish oil on clinical outcomes and cost-effectiveness analysis for postoperative and ICU patients are needed.

BACKGROUND: The relationship of trace element and human body health is increasingly paid more attention. Many trace elements are indispensable for organism. The lack of trace element is closely related to the occurrence of cardio-cerebrovascular disease, while the medicative effect of traditional Chinese medicine depends on the sorts and level of the contained trace elements.OBJECTIVE: To determine the level of Ca, Mg, Cu, Cr, Zn and Fe in 10 traditional Chinese medicine patent prescriptions for the treatment of cerebrovascular disease.SETTING: Medical Experimental Center of Jilin Medical College.MATERIALS: This experiment was carried out in the Jilin Institute of Chemical Technology during March to May 2003. Ten traditional Chinese medicine patent prescriptions Naosaitong, Qiangli Tianma Duzhong Wan,Kangshuan Wan, Tongmai Ningxin Chongji, Rongshuan Jiaonang,Buchang Naoxintong, Dahuoluodan, Zhongfeng Huichun Wan, Xiaoshuan Tongluo Jioonang and Huatuo ZaizaoWan, purchased from market were selected for the treatment of cardio-cerebrovascular disease in this study.Strong HNO3 and grade-guaranteed reagent were made in Beijing Chemical Co. Ltd; HC1O4 and another kind of grade-guaranteed reagent were made in Tianjin Dongfang Chemical Co. Ltd.METHODS: Ten pills and 10 tablets were chosen and crushed evenly respectively. Two portions were equally chosen from each sample, 1.00 geach portion, and placed in ten 50 mL conical flask respectively. Then,strong HNO3 of 10 mL was used to envelop the conical flask, overnight. On the next day, strong HNO3 of 10 mL and HClO4 of 5 mL were respectively added into each flask, then which was slowly heated on the electric hot plate. When about 2 mL liquid was left in the conical flask, another 20 mL strong HNO3 and 5 mL HC1O4 were respectively added to further digest till the solution was achromatic and transparent, and flask was nearly dried.After cooled, the samples were transferred to a 25 mL volumetric flask and metered with 3% HNO3. The level of Ca, Mg, Cu, Cr, Zn and Fe 6 metallic elements in10 traditional Chinese medicine patent prescriptions was measured respectively with atomic absorption spectrophotometry.MAIN OUTCOME MEASURES: The level of Ca, Mg, Cu, Cr, Zn and Fe 6 metallic elements in 10 traditional Chinese medicine patent prescriptions.RESULTS: Among the levels of metallic elements in 10 traditional Chinese medicine patent prescriptions, the level of Mg was found the most in Rongshuan Jiaonang [(89.201 6±0.855 4) mg/g]; The level of Ca the most in Dahuoluodan [(14.312 5±0.507 0) mg/g]; Zn and Fe the most abundant in Kangshuan Wan [(60.487 5±1.639 8)mg/g and(980.081 2±15.395 9) mg/g respectively]; while the level of Cr very more in the Xiaoshuan Tongluo Jiaonang [(9.881 2±0.734 4) mg/g].CONCLUSION: Six metallic elements are all abundant in 10 traditional Chinese medicine patent prescriptions, but significant differences exist.Experimental results provide some evidences for investigating the relationship of the levels of metallic elements in 10 traditional Chinese medicine patent prescriptions and the therapeutic effect on treating cerebrovascular disease.