1.Determination and evaluation of serum monosaccharides in patients with early-stage lung adenocarcinoma.
Wenhao SU ; Cui HAO ; Yifei YANG ; Pengjiao ZENG ; Huaiqian DOU ; Meng ZHANG ; Yanli HE ; Yiran ZHANG ; Ming SHAN ; Wenxing DU ; Wenjie JIAO ; Lijuan ZHANG
Chinese Medical Journal 2025;138(3):352-354
2.Correlation between differences in starch gelatinization, water distribution, and terpenoid content during steaming process of Curcuma kwangsiensis root tubers by multivariate statistical analysis.
Yan LIANG ; Meng-Na YANG ; Xiao-Li QIN ; Zhi-Yong ZHANG ; Zhong-Nan SU ; Hou-Kang CAO ; Ke-Feng ZHANG ; Ming-Wei WANG ; Bo LI ; Shuo LI
China Journal of Chinese Materia Medica 2025;50(10):2684-2694
To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry*
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Starch/chemistry*
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Multivariate Analysis
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Water/chemistry*
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Terpenes/analysis*
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Plant Roots/chemistry*
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Plant Tubers/chemistry*
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Drugs, Chinese Herbal/chemistry*
3.Application Value of an AI-based Imaging Feature Parameter Model for Predicting the Malignancy of Part-solid Pulmonary Nodule.
Mingzhi LIN ; Yiming HUI ; Bin LI ; Peilin ZHAO ; Zhizhong ZHENG ; Zhuowen YANG ; Zhipeng SU ; Yuqi MENG ; Tieniu SONG
Chinese Journal of Lung Cancer 2025;28(4):281-290
BACKGROUND:
Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN).
METHODS:
This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models.
RESULTS:
The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability.
CONCLUSIONS
The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans
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Male
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Female
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Lung Neoplasms/pathology*
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Middle Aged
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Retrospective Studies
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Artificial Intelligence
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Aged
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Tomography, X-Ray Computed
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Adult
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Solitary Pulmonary Nodule/diagnostic imaging*
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ROC Curve
4.A synthetic peptide, derived from neurotoxin GsMTx4, acts as a non-opioid analgesic to alleviate mechanical and neuropathic pain through the TRPV4 channel.
ShaoXi KE ; Ping DONG ; Yi MEI ; JiaQi WANG ; Mingxi TANG ; Wanxin SU ; JingJing WANG ; Chen CHEN ; Xiaohui WANG ; JunWei JI ; XinRan ZHUANG ; ShuangShuang YANG ; Yun ZHANG ; Linda M BOLAND ; Meng CUI ; Masahiro SOKABE ; Zhe ZHANG ; QiongYao TANG
Acta Pharmaceutica Sinica B 2025;15(3):1447-1462
Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.
5.A study on the effect and mechanism of new 6449Da active peptide in regulating the apoptosis and proliferation of gastric adenocarcinoma cells
Dongjian SONG ; Qi WANG ; Meng SU ; Qiuliang LIU ; Yingzhong FAN ; Heying YANG ; Qian ZHANG ; Da ZHANG
Chinese Journal of General Surgery 2025;40(5):392-397
Objective:To explore the biological efficacy and molecular mechanism of the new 6449Da active peptide against gastric adenocarcinoma.Methods:Effect 6449Da active peptides on SGC-7901 gastric adenocarcinoma cells line was studied and mRNA and protein expression levels of key factors relating to apoptosis, proliferation and notch signaling pathway was detcted.Results:The 6449Da functional fragment WSGC peptide located on the cell membrane relatively specifically inhibited the growth of gastric adenocarcinoma cells, but had a weak effect on normal gastric mucosal cells [cell doubling time , SGC-7901, 1.2 μmol/ml: (38.22±6.80) h vs. 0 μmol/ml: (25.65±1.82) h, P<0.05; GES-1, 1.2 μmol/ml: (33.37±3.15) h vs. 0 μmol/ml: (29.25±1.26) h, P>0.05].After treatment of SGC-7901 cells by IC80 (48 h),the cell apoptosis rate was higher than that in the control group (IC80: 0.421±0.036 vs. control group: 0.028±0.004, P<0.001), while the cell proliferation coefficient,number of transmembrane invasive cells and relative migration rate were all lower than those of the control group (all P<0.01).Compared with the control group, the mRNA and protein expression levels of Bax and Caspase-3 were higher than those in the control group(all P<0.01).Compared with the control group, the mRNA and protein expression levels of Ki67, PCNA, NOTCH1,Jagged 1, MAML3, CSL and HES1 were significantly lower than those in the control group (all P<0.01).After treatment with WSGC bioactive peptides, tumor weight was significantly lower than that of the control group [40 nmol/g: (0.463±0.031) g, 80 nmol/g: (0.340±0.040) g vs. control group: (1.667±0.373) g, all P<0.01]. Conclusion:6449Da functional fragment WSGC active peptide relatively specifically interferes with the growth of gastric adenocarcinoma cells by inhibiting the Notch signaling pathway, and has the biological effects of promoting apoptosis,inhibiting proliferation, transmembrane invasion and migration.
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.Relationship between non-specific neck pain and cervical sagittal parameters based on a real world study
Nan SU ; Qi FEI ; Jinjun LI ; Hai MENG ; Yong YANG
International Journal of Surgery 2025;52(3):169-175
Objective:To analyze the relationship between neck pain severity and duration and cervical sagittal parameters in non-specific neck pain (NNP) patients from a real world data, and to initially explore the relationship between NNP and cervical sagittal position sequence.Methods:The clinical data of 126 patients with main complaint of neck pain in the outpatient department of Beijing Friendship Hospital, Capital Medical University from January to September 2023 were retrospectively analyzed. This cohort included 84 female and 42 male patients with a mean age of (42.21±14.88) years (aged from 15 to 76 years). According to the duration of neck pain was more than 3 month or not, patients were divided into acute neck pain group ( n=57) and chronic neck pain group ( n=69). Patients were divided into mild neck pain group ( n=72) and moderate and severe neck pain group ( n=54) according to the severity of neck pain. The duration and visual analogue scale (VAS) of neck pain for each patient was recorded. Cervical sagittal related parameters, including cervical lordosis (C 2-C 7 Cobb′ angle, CL), C 2-C 7 sagittal vertical axis (cSVA), T 1 slope (TS) were measured by cervical lateral X-ray, and the value of T 1 slope minus cervical lordosis (TS-CL) was calculated. At the same time, cervical lateral X-ray was used to record whether the patient had cervical kyphosis and whether the patient was associated with ossification of the nuchal ligament (ONL). The VAS score of neck pain was expressed as the median (interquartile) [ M( Q1, Q3)]. Measurement data with normal distribution were represented as mean±standard deviation( ± s), and the comparison between groups was conducted using the t-test; the comparison of count data were represented as cases and percentage, and was conducted by Chi-square test. Spearman correlation analysis was used to investigate the correlation of VAS score and duration of neck pain with age, gender, imaging parameters (CL, cSVA, TS, TS-CL), cervical kyphosis and ONL. Results:The median VAS score of all patients with neck pain was 4(3, 5). For all patients, VAS score of neck pain was significantly correlated with cSVA ( P=0.029) and TS-CL ( P=0.028). There was no correlation between VAS score and CL ( P=0.235), TS ( P=0.355), with cervical kyphosis or not ( P=0.988), or with ONL or not ( P=0.181). The TS-CL values of acute neck pain group and chronic neck pain group were (11.80±8.38)° and (8.77±7.61)°, respectively, with a significant difference ( P=0.035). There was no significant difference in the incidence of cSVA, CL, TS, ONL and cervical kyphosis between the two groups ( P>0.05). The cSVA of mild neck pain group and moderate and severe neck pain group were (1.16±0.94) cm and (1.80±1.04) cm, respectively. CL was (12.25±10.76)° and (8.27±9.08)°, respectively. The TS-CL values were (8.11±7.54)° and (12.84±8.04)°, respectively, and the differences between the two groups were statistically significant ( P<0.05). The incidence of ONL in moderate and severe neck pain group was significantly higher (35.2% vs 19.4%), and the difference was statistically significant ( P<0.05). Conclusions:The severity of NNP was significantly correlated with cSVA, the more severe the neck pain, the more the mismatch between TS and CL was presented. Compared with chronic neck pain, patients with acute neck pain tended to appear TS and CL mismatch. There was a large value of cSVA and TS-CL in moderate and severe neck pain patients. The incidence of ONL was significantly increased in patients with moderate and severe neck pain.
9.Application of perioperative enhanced recovery after surgery clinical pathway for percutaneous vertebro plasty
Xuehu XIE ; Zhiwu ZHANG ; Jisheng LIN ; Hai MENG ; Tianyu BAI ; Zihan FAN ; Nan SU ; Jiashen SHAO ; Jinjun LI ; Guoyu NI ; Feng JIN ; Yong YANG ; Qi FEI
International Journal of Surgery 2025;52(6):415-422
Objective:To evaluate the perioperative application effect of enhanced recovery after surgery (ERAS) clinical pathway in percutaneous vertebro plasty (PVP).Methods:The clinical data of 274 patients who underwent PVP treatment for osteoporotic vertebral compression fracture (OVCF) in Beijing Friendship Hospital, Capital Medical University from May 2023 to August 2024 were retrospectively analyzed. The patients were divided into two groups according to the different numbers of surgical segments: the single-segment group ( n=211) and the multisegment group ( n=63). Patients in the single-segment group underwent single-segment surgery, while patients in the multisegment group underwent surgery on ≥2 segments. The core points of the ERAS clinical pathway adopted in this study include perioperative education, pain management, early mobilization, application of "outfast", and joint guidance from the departments of nutrition and rehabilitation. Comparison was made between the two groups of patients in terms of visual analog scale (VAS) scores for low back pain at preoperative, 2 h, 6 h, 24 h postoperatively, and on the day of discharge; Oswestry disability index (ODI) scores preoperatively and on the day of discharge; time to first ambulation postoperatively, total length of hospital stay, postoperative length of stay, perioperative complications, and perioperative application of Opioid consumption. Measurement data were expressed as mean±standard deviation ( ± s), and the independent sample t-test was used for comparison between groups; count data were expressed as cases and percentage, and the Chi-square test was used for comparison between groups. The VAS pain scores at each stage of the perioperative period were evaluated using repeated measures analysis of variance or generalized estimating equations. Results:Compared with that before the operation [(6.17±0.93) points, (6.29±0.83) points], the VAS scores of low back pain of patients in the single-segment group and the multisegment group at 2 hours after surgery [(3.09±0.82) points, (3.27±0.65) points], 6 hours after surgery [(2.60±0.79) points, (2.62±0.55) points], and 24 hours after surgery [(1.89±0.77) points, (1.97±0.72) points] and on the day of discharge [(1.72±0.71) points, (1.81±0.64) points] were significantly decreased, and the differences were statistically significant ( P<0.05). At the same stage, the VAS scores of low back pain in both groups were not statistically significant ( P>0.05). The ODI scores of patients in the single-segment group and the multisegment group on the day of discharge [(24.21±2.35) points, (24.63±3.31) points] were significantly lower than those before the operation [(64.50±4.81) points, (65.52±4.08) points], and the differences were statistically significant ( P<0.05). There were no statistically significant differences in perioperative complications and the proportion of Opioid drug application between the two groups of patients ( P>0.05). Conclusion:For patients with single-segment or multisegment OVCF, PVP surgical treatment under ERAS clinical pathway management can achieve immediate pain relief, early ambulation exercise, and satisfactory perioperative efficacy.
10.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

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