1.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.
2.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.
3.Combining peripheral with transcranial magnetic stimulation in treating subacute stroke
Yuejiao CAO ; Weiguan CHEN ; Zhidong HUANG ; Dongyan ZHU ; Liang WANG ; Zhenzhen HAN ; Huiyuan JI ; Wei SHI ; Hongjian LU
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(11):984-990
Objective:To explore the effect of combining repeated peripheral (rPMS) and central transcranial magnetic stimulation (rTMS) in treating upper limb motor dysfunction after a stroke.Methods:Seventy-eight patients with upper limb motor dysfunction after a stroke were randomly divided into a control group, an rTMS group and a combined magnetic stimulation group, each of 26. All three groups underwent routine rehabilitation, while the rTMS group was repeatedly given low frequency transcranial magnetic stimulation of the M1 region on the unaffected side, and the combined group also received repeated peripheral magnetic stimulation at Erb′s point on the affected upper limb. There was one treatment session a day, 5 days a week for 3 weeks. Before and after the treatment, everyone′s upper limb motor function was quantified using the Fugl-Meyer upper extremity assessment (FMA-UE) and the Wolf motor function test (WMFT). Skill in the activities of daily living was quantified in terms of a Barthel index (BI). Motor recovery of the upper limbs and hands was assessed using Brunnstrom staging. The latency and amplitude of the motor evoked potentials (MEPs) in the subjects′ affected abductor pollicis brevis muscles were also recorded before and after the treatment. Pearson correlation coefficients quantified the correlation between the changes in FMA-UE scores and MEP amplitudes before and after the treatment in the three groups.Results:There were no significant differences among the three groups before the treatment. Afterward, however, the average FMA-UE, WMFT and BI scores, as well as the upper limb and hand Brunnstrom stages and the average MEP latencies and amplitudes of all the three groups had improved significantly. The combined group′s average results were then significantly better than the other two groups′ averages, except for the upper limb Brunnstrom stages. The increases in MEP amplitude were positively correlated with the increases in FMA-UE scores among the rTMS and the combined group, but there was no significant correlation between them in the control group.Conclusions:The combined application of rPMS and contralateral low frequency rTMS can effectively relieve motor dysfunction in the upper limbs in the early stages after a stroke.
4.Application of endoscopic inflatable thyroid surgery in elderly patients
Yunhao LI ; Yongke WU ; Yuanhao SU ; Cheng LI ; Yiyuan ZHAO ; Xin JIN ; Zhidong WANG
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(3):480-485
Objective To investigate the safety of endoscopic inflatable thyroid surgery on elderly patients by comparing the clinical characteristics and incidence of postoperative complications between elderly and non-elderly patients.Methods A retrospective analysis of clinical data was conducted on 204 patients who underwent endoscopic inflatable thyroid surgery at The Second Affiliated Hospital of Xi'an Jiaotong University from May 2021 to August 2024.Based on propensity score matching(PSM),a total of 54 elderly patients(age ≥60 years)and 150 middle-aged and young patients(18-59 years)were selected for comparison of clinical data,surgical-related indicators,and postoperative outcomes between the two groups.Results After matching,baseline data in both groups exhibited no statistically significant differences(P>0.05).There were no statistically significant variances(P>0.05)in intraoperative blood loss,surgical time,postoperative drainage volume,Faces Pain Scale-Revised(FPS-R),hoarseness,or hypoparathyroidism between the two groups.Although the two groups differed significantly in the Charlson Comorbidity Index(CCI)and age-adjusted Charlson Comorbidity Index(aCCI)(P<0.05),there were no significant differences in the postoperative delirium,acute cardiocerebrovascular events,hospitalization costs,or postoperative length of stay(P>0.05).One patient in the elderly group had postoperative delirium and but recovered 5 days after surgery.Conclusion Although elderly patients have more chronic complications than non-elderly,endoscopic thyroid surgery in elderly patients with thyroid tumors remains safe and effective,which makes it deserve clinical application.
5.Anatomical study of the APR triangle based on 3D visualization technology
Xinyu SUN ; Yongbo YU ; Xianhe ZHANG ; Ziqiang GE ; Qinyi LI ; Guokai TAI ; Zhidong WANG
Chinese Journal of Hepatobiliary Surgery 2025;31(1):54-58
Objective:To analyze the APR triangle formed when the right hepatic vein (RHV) passed through the right anterior hepatic pedicle (RAHP) and the right posterior hepatic pedicle (RPHP) by 3D visualization technique.Methods:Clinical data of 100 subjects undergoing liver contrast-enhanced CT scan in the Second Affiliated Hospital of Harbin Medical University from September 2019 to September 2022 were retrospectively analyzed, including 57 males and 43 females, aged (53.2±13.0) years. The CT data were imported into a system for 3D image reconstruction of the liver. The intrahepatic vascular structure was observed, including the portal vein, APR triangle, the angle between the RAHP and RPHP, the distance between RHV and the vertex of angle when it crosses the angle plane of the RAHP and RPHP, the structure and branches of the right posterior branch of portal vein, and the number of branches into the APR triangle from the main trunk of the right anterior and right posterior portal vein.Results:The main type of portal vein was type A (the main portal vein was divided into left and right branches, and the right branch was further divided into right anterior branch and right posterior branch), in 86 cases (86.0%). The APR triangle was observed in 81 cases (81.0%), and the distance between the right hepatic vein and the vertex of the right anterior and right posterior hepatic pedicle was (1.70±0.36) cm, 1.00-2.00 cm was 82.7%(61/81). The angle between right anterior and right posterior hepatic pedicle was 45°-90° in 77 cases (77.0%, 77/100). In 100 subjects, the main branch of the right posterior portal vein accounted for 42.0% (42/100) of typeⅠ (bifurcation type) and 53.0% (arch type) of type Ⅱ (53/100). In 16 cases (19.8%, 16/81), the main right anterior portal vein branched into the APR triangle, with a total of 22 branches. In 9 cases (11.1%, 9/81), the main branch of the right posterior portal vein (branching type) branched into the triangle, with a total of 11 branches. There were 33 cases (40.7%, 33/81) of right posterior portal vein (arch type) main branch branching into the triangle, a total of 41 branches.Conclusion:The APR triangle, composed of the RAHP, RPHP and RHV, has an objective anatomical basis and is affected by the variants of portal vein and RHV. It is more common for the RHV to be within 1.00-2.00 cm of the vertex of the angle between the RAHP and RPHP, and the main trunk of the right anterior and right posterior branches of portal vein are less divided into the triangle, so it is relatively safe to dissect within this area.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; Yunjian HU ; Xiaoman AI ; 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 ; Hong ZHANG ; Chun WANG ; 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(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; 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 ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; 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 ; 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 ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Association between alcohol consumption and lumbar disc herniation
ZHANG Ronghua ; HU Jihong ; ZHAO Jirong ; JIN Limei ; CHEN Zhiwei ; SHAO Hong ; WANG Li ; ZHANG Zhidong ; LONG Kaichong
Journal of Preventive Medicine 2025;37(11):1129-1134
Objective:
To analyze the association between alcohol consumption and lumbar disc herniation (LDH), so as to provide a reference for the development of prevention and treatment strategies for LDH.
Methods:
From May to July 2022, permanent residents aged ≥18 years from eight counties (cities/districts) in Gansu Province were selected using a multistage stratified random sampling method. Data on basic characteristics, alcohol consumption in the past 30 days, hypertension, and diabetes mellitus were collected through questionnaire surveys. LDH was determined based on imaging findings, combined with disease history or clinical symptoms. Multivariable logistic regression model was used to analyze the association between alcohol consumption and LDH, with subgroup analyses conducted by gender, age, ethnicity, and altitude of residence. Propensity score matching (PSM) was utilized for sensitivity analysis.
Results:
A total of 4 545 individuals were surveyed. There were 2 026 (44.58%) males and 2 519 (55.42%) females. The mean age was (44.82±15.33) years. The study participants were predominantly of Han ethnicity, with 2 598 persons accounting for 57.17%. The altitude of residence was mainly above 3 500 m, with 1 941 persons accounting for 42.71%. There were 574 alcohol drinkers, accounting for 12.63%. LDH was detected in 1 035 cases, with a detection rate of 22.77%. Multivariable logistic regression analysis showed that after adjusting for gender, age, physical activity, and hypertension, compared to non-drinking residents, alcohol-consuming residents exhibited a 27.6% reduction in the risk of LDH (OR=0.724, 95%CI: 0.544-0.963). No significant interaction effects on LDH risk were observed between alcohol consumption and gender, age, ethnicity, or altitude of residence (all Pfor interaction >0.05). The results of the sensitivity analysis indicated that compared to non-drinking residents, alcohol-consuming residents exhibited a 38.8% reduction in the risk of LDH (OR=0.612, 95%CI: 0.382-0.976).
Conclusion
Alcohol consumption was statistically associated with a lower risk of LDH.
9.Telpegfilgrastim for chemotherapy-induced neutropenia in breast cancer: A multicenter, randomized, phase 3 study.
Yuankai SHI ; Qingyuan ZHANG ; Junsheng WANG ; Zhong OUYANG ; Tienan YI ; Jiazhuan MEI ; Xinshuai WANG ; Zhidong PEI ; Tao SUN ; Junheng BAI ; Shundong CANG ; Yarong LI ; Guohong FU ; Tianjiang MA ; Huaqiu SHI ; Jinping LIU ; Xiaojia WANG ; Hongrui NIU ; Yanzhen GUO ; Shengyu ZHOU ; Li SUN
Chinese Medical Journal 2025;138(4):496-498
10.Value of clinical indicators in predicting the efficacy of neoadjuvant therapy for esophageal cancer
Honglei CHENG ; Ti WANG ; Zhidong LAN ; Heyi GONG
Journal of International Oncology 2025;52(9):592-597
Neoadjuvant therapy is the preferred treatment mode for locally advanced operable esophageal cancer, and its clinical value has been established through evidence-based medical evidence. Accurately identifying patients who can benefit before or during treatment is of great significance for formulating the overall treatment strategy. Clinical indicators such as age, gender, pathological characteristics, nutritional status, and hematological/histological indicators have certain value in predicting the efficacy of neoadjuvant therapy for esophageal cancer. However, the predictive effect of a single indicator is limited. It is necessary to comprehensively use multiple indicators and combine advanced technologies and methods to provide accurate and practical tools for clinical efficacy prediction.


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