1.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
2.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
3.Comparison of the efficacy of remimazolam and propofol in the induction and maintenance of general anesthesia in elderly patients undergoing thoracoscopic lobectomy
Chun LIU ; Juan HU ; Yu HUANG ; Jinqiu YANG ; Junjie LI ; Ping YANG ; Pengfei PAN
China Pharmacy 2025;36(16):2040-2045
OBJECTIVE To compare the clinical efficacy and safety of remimazolam and propofol in general anesthesia induction and maintenance for elderly patients undergoing thoracoscopic lobectomy. METHODS A total of 86 elderly lung cancer patients who underwent thoracoscopic lobectomy at Chongqing University Three Gorges Hospital from February to July 2024 were selected and divided into the propofol group and the remimazolam group according to the randomized numerical table method, with 43 cases in each group. During anesthesia induction, patients in the propofol group and the remimazolam group were intravenously administered 2 mg/kg of Propofol medium- and long-chain fat emulsion injection or 0.25 mg/kg of Remimazolam tosilate for injection, respectively; during anesthesia maintenance, the two groups received intravenous infusion of 6-10 mg/(kg·h) of Propofol medium- and long- chain fat emulsion injection or 1-3 mg/(kg·h) of Remimazolam tosilate for injection, respectively. The anesthesia effects, anesthesia-related indicators, intraoperative opioid and muscle relaxant dosages, Ramsay sedation score, numerical rating scale (NRS) score, and hemodynamic parameters were compared between the two groups, and the occurrence of adverse drug reactions was recorded. RESULTS A total of 41 patients in the propofol group and 43 patients in the remimazolam group completed the trial. The proportion of patients with grade Ⅰ anesthesia effect in the remimazolam group was significantly higher than that in the propofol group, while the proportion of patients with grade Ⅱ anesthesia effect was significantly lower than that in the propofol group (P<0.05). In this group, the disappearance time of eyelash reflex, the time taken for the bispectral index to drop to 60, and the Ramsay sedation scores (2 and 6 hours after operation) were all significantly prolonged or increased, while the recovery time, NRS scores (2 and 6 hours after operation), and the incidence of intraoperative hypotension were all significantly shortened or reduced; moreover, the improvements of the above sedation/NRS scores exhibited a time-dependent pattern within 2 to 24 hours after operation (P<0.05). Compared with before anesthesia induction (T0), the heart rate [except at 2 min after medication (T1), 60 min after anesthesia (T4), and at the end of surgery (T5) in the remimazolam group] and mean arterial pressure [except at T1 in the remimazolam group] of patients in both groups significantly decreased at T1, 5 min after medication (T2), at the start of surgery (T3), T4, and T5 (P<0.05). Meanwhile, regional cerebral oxygen saturation significantly increased in both groups. Furthermore, the heart rate and mean arterial pressure of patients in the remimazolam group were significantly higher than those in the propofol group at T1, T2 and T4 (P<0.05). No statistically significant differences were observed between the two groups in terms of postanesthesia care unit stay time, dosage of opioids and muscle relaxants, regional cerebral oxygen saturation, or peripheral oxygen saturation at various time points (P>0.05). CONCLUSIONS Compared to propofol, remimazolam demonstrates superior anesthesia effects when used for the induction and maintenance of general anesthesia in elderly patients undergoing thoracoscopic lobectomy. It not only provides more stable intraoperative hemodynamics and shortens the postoperative recovery time but also effectively reduces the incidence of intraoperative hypotension.
4.Effects of Conbercept on different optical coherence tomography biomarkers in patients with retinal vein occlusion-related macular edema
Haiyue YU ; Juan TENG ; Zeying DONG ; Lili ZHANG ; Huixian CUI ; Chang LIU ; Guang ZHU ; Xin LI
International Eye Science 2025;25(10):1656-1661
AIM: To investigate the effects of Conbercept on various optical coherence tomography(OCT)biomarkers in patients with retinal vein occlusion-related macular edema(RVO-ME), and to analyze the correlation of these biomarker changes with visual prognosis.METHODS: Retrospective study. A total of 57 patients(57 eyes)with RVO-ME, including 25 patients(25 eyes)with central retinal vein occlusion(CRVO)and 32 patients(32 eyes)with branch retinal vein occlusion(BRVO), were enrolled in this study. All the patients received intravitreal injection of conbercept once a month, three times in total. The preoperative and postoperative best-corrected visual acuity(BCVA), and changes in OCT biomarkers, including central macular thickness(CMT), the length of disorganization of the retinal inner layers(DRIL), the number of hyperreflective dots(HRD), the area of intraretinal fluid(IRF), the area of subretinal fluid(SRF), and the length of ellipsoid zone(EZ)disruption were compared. Furthermore, the relationship of these changes with BCVA was analyzed.RESULTS:Compared with the baseline, at 3 mo post-treatment, BCVA(LogMAR)was improved, CMT was decreased, the length of DRIL was shortened, the number of HRD was reduced, the area of IRF was decreased, the area of SRF was reduced, and the length of EZ disruption was shortened(all P<0.05). Spearman correlation analysis showed that there was no correlation between the changes in CMT, the length of DRIL, the number of HRD, the area of IRF, the area of SRF and the change in BCVA before and after treatment(P>0.05). However, the change in the length of EZ disruption was positively correlated with the change in BCVA(rs=0.34, P=0.011), and the R2 value of the fitting curve between the change in the length of EZ disruption and the change in BCVA was 0.113(P=0.011). When comparing the pre- and post-treatment changes in BCVA, the length of DRIL, the number of HRD, the area of IRF, the area of SRF, and the length of EZ disruption between patients in the CRVO group and BRVO group, no significant differences were observed(all P>0.05). In contrast, a significant difference was found in the change in CMT between the two groups(P=0.002).CONCLUSION:Conbercept effectively improves multiple OCT biomarkers in patients with RVO-ME. Repair of EZ disruption is a key driver of visual recovery, and its stability may serve as a novel indicator for personalized decision-making in anti-vascular endothelial growth factor therapy.
5.An analysis of the seasonal epidemic characteristics of influenza in Kunming City of Yunnan Province from 2010 to 2024
Zexin HU ; Min DAI ; Wenlong LI ; Minghan WANG ; Xiaowei DENG ; Yue DING ; Hongjie YU ; Juan YANG ; Hong LIU
Shanghai Journal of Preventive Medicine 2025;37(8):643-648
ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14th week of 2010 to the 13th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.
6.Study on medical equipment configuration management of ovarian tissue cryopreservation and transplantation
Lu JIA ; Juan DU ; Yu LI ; Huan-shu LIU ; Zhao ZHANG ; Xiao-li LIU ; Xiang-yan RUAN
Chinese Medical Equipment Journal 2025;46(4):63-69
The technologies for ovarian tissue cryopreservation and entire process for ovarian tissue cryopreservation and transplantation were introduced,and the medical equipment configuration was summarized for each stage of ovarian tissue cryopreservation and transplantation.Detailed plans and management methods were proposed for the medical equipment configuration of ovarian tissue cryopreservation and transplantation,and relevant precautions,possible problems and solutions during the process were put forward.References were provided for medical institutions planning to carry out ovarian tissue cryopreservation and transplantation.[Chinese Medical Equipment Journal,2025,46(4):63-69]
7.CCTA-based comparative study of quantitative parameters between culprit and non-culprit plaques in patients with acute coronary syndrome
Bing LIU ; Li-li LI ; Meng-yu CHEN ; Xiao-hao ZHANG ; Li-juan FAN
Chinese Medical Equipment Journal 2025;46(6):65-71
Objective To comparatively analyze the quantitative parameters of culprit and non-culprit plaques in patients with acute coronary syndromes(ACS)with a noninvasive technique of coronary computed tomography angiography(CCTA),and to explore the correlation between the quantitative parameters of plaques and culprit plaques.Methods Data were restrospectively collected from 51 ACS patients admitted in some hospital from January to December 2021.The coronary atherosclerotic plaques shown by invasive catheter angiography(ICA)that caused hemodynamic abnormalities and were treated with stenting were defined as offender plaques and enrolled into a culprit plaque group(56 culprit plaques),and other plaques were regarded as non-culprit plaques and divied into a non-culprit plaque group(164 non-culprit plaques).The relationship between culprit plaque and luminal stenosis was analyzed using the chi-square test,and quantitative plaque metrics were compared between the groups.The corelation between quantitative indicators and culprit plaque was analyzed using univariate Logistic regression,and multifactorial Logistic regression analysis was carried out.Statistical analysis was performed with SPSS 23.0 software.Results Analysis of plaque imaging data showed that culprit plaque was significantly associated with the degree of luminal stenosis(P<0.05).Statistically significant differences were found beween the two groups and between the culprit plaques resulting in moderate or greater luminal stenosis and non-culprit plaques in total plaque length,total plaque load,calcification load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load(all P<0.05).Univariate Logistic regression analysis showed total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load were all significantly correlated with culprit plaques(all P<0.05);multifactorial Logistic regress indicated total plaque length and fibrous lipid load were independent risk factors for culprit plaques,and the probability of culprit plaques increased to 1.093 and 1.101 times for every one unit increase in total plaque length and fibrolipid load,respectively.Conclusion Such quantitative parameters of plaques as total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load reflects the characteristics of culprit plaques effectively.Quantitative plaque parameter analysis based on CCTA facilitates clinicians for early assessment of patients with coronary atherosclerosis,which enables early intervention and prevention of acute coronary syndromes.[Chinese Medical Equipment Journal,2025,46(6):65-71]
8.Risk analysis for coil adverse events based on FDA MAUDE database
Jian-wei YANG ; Lin HUANG ; Yu-juan ZHAO ; Yi XUAN ; Jian-jun CAO ; Chang-qing LIU ; Hui-fang NIU ; Xia LI
Chinese Medical Equipment Journal 2025;46(6):83-87
The coil adverse events in the U.S.Food and Drug Administration Manufacturer and User Facility Device Experience(MAUDE)database from January 2021 to June 2024 were analyzed retrospectively.The risks of coils during the clinical application and their causes were explored with hospital survey and expert demonstration in Shandong Province.Some improving measures were put forward for the safe use of coils,including implementing the main responsibility of the registrant,enhancing the professional skills of the using institutions and strengthening the supervision of the supervisory authorities.[Chinese Medical Equipment Journal,2025,46(6):83-87]
9.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
10.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

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