1.Mechanism of pachymic acid in ameliorating renal injury in pregnancy induced hypertension rats by regulating the Sirt1/PGC‑1α pathway
Junjiang ZHU ; Jincheng LIN ; Jiajian WU ; Yi ZENG ; Jun HU ; Min LI ; Hongying LIU ; Jinfen LI
China Pharmacy 2026;37(2):186-191
OBJECTIVE To investigate the mechanism of pachymic acid on renal injury in pregnancy induced hypertension (PIH) rats by regulating the silent information regulator transcript 1/peroxisome proliferator-activated receptor γ coactivator-1α (Sirt1/PGC-1α) pathway. METHODS Pregnant SD rats were prepared by co-caging and PIH model was induced using N-nitro-L- arginine methyl ester (L-NAME) method. PIH rats were randomly divided into model group, L-pachymic acid (low-dose pachymic acid, 10 mg/kg) group, H-pachymic acid (high-dose pachymic acid, 20 mg/kg) group, and H-pachymic acid+EX527 (20 mg/kg pachymic acid+10 mg/kg EX527) group, with 6 rats in each group. Another 6 normal pregnant rats were selected as blank group. Each group was given relevant medicine or solvent intragastrically or intraperitoneally daily, once a day, for 28 consecutive days. After the last administration, 24 h urinary protein and tail artery systolic blood pressure (SBP) were measured in pregnant rats from each group, along with the levels of serum creatinine (Scr), blood urea nitrogen (BUN),uric acid (UA), and cystatin C (Cys-C). The contents of superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-Px), and 8-hydroxy-2′-deoxyguanosine (8-OHdG) in renal tissue, as well as the mRNA and protein expression levels of Sirt1 and PGC-1α, were also determined. Meanwhile, renal histopathological changes in rats from each group were evaluated using hematoxylin-eosin (HE) staining and periodic acid-Schiff (PAS) staining. RESULTS Compared with model group, L-pachymic acid group and H-pachymic acid group exhibited significant decreases in 24 h urine protein quantification, tail artery SBP, Scr, BUN, UA, Cys-C levels, glomerulosclerosis index score of renal tissue, renal tubular injury score, the percentage of PAS positive area, MDA and 8-OHdG (P<0.05). Conversely, the contents of SOD and GSH-Px, along with the mRNA and protein expression levels of Sirt1 and PGC-1α, were significantly increased (P<0.05). Moreover, these improvements were more pronounced in H-pachymic acid group (P<0.05). Compared with H-pachymic acid group, the aforementioned indicators in pregnant rats from the H-pachymic acid+EX527 group showed significant reversal (P<0.05). CONCLUSIONS Pachymic acid significantly ameliorates renal injury induced by PIH in rats, potentially through activation of the Sirt1/PGC-1α pathway.
2.Expert consensus on neoadjuvant PD-1 inhibitors for locally advanced oral squamous cell carcinoma (2026)
LI Jinsong ; LIAO Guiqing ; LI Longjiang ; ZHANG Chenping ; SHANG Chenping ; ZHANG Jie ; ZHONG Laiping ; LIU Bing ; CHEN Gang ; WEI Jianhua ; JI Tong ; LI Chunjie ; LIN Lisong ; REN Guoxin ; LI Yi ; SHANG Wei ; HAN Bing ; JIANG Canhua ; ZHANG Sheng ; SONG Ming ; LIU Xuekui ; WANG Anxun ; LIU Shuguang ; CHEN Zhanhong ; WANG Youyuan ; LIN Zhaoyu ; LI Haigang ; DUAN Xiaohui ; YE Ling ; ZHENG Jun ; WANG Jun ; LV Xiaozhi ; ZHU Lijun ; CAO Haotian
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(2):105-118
Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.
3.Net Meta-analysis of intramuscular efficacy patch on the recovery of limb function after stroke
Wenshu ZENG ; Yi YANG ; Lanmo LU ; Menglian LIU ; Jun WANG
China Modern Doctor 2025;63(2):24-27,32
Objective To evaluate the effect of different kinesio taping(KT)patches on the improvement of upper limb function and activities of daily living in patients with stroke by using a reticulated Meta-analysis.Methods PubMed,Web of Science,Cochrane Library,EMbase,China Knowledge,Wanfang,and VIP databases were searched for randomised controlled trials on the effect of KT on improving the functional status of the upper limbs or the ability to perform activities of daily living in patients with stroke,using a computer,with a timeframe ranging from 2000 January to 2024 March.Twenty-six articles were included,accounting for a total of 1037 patients.Literature was screened individually,evaluated for quality,and identified for inclusion using RevMan 5.4 and Stata 17.0 software for reticulation Meta-analysis.Results Meta-analysis showed that the effect of different KT patches improved upper limb function in stroke patients:I+X+claw>I+Y>I+X+Y>X+claw>claw+Y>I+claw>X+Y+claw>I+X>Y+T>I+I>control.Order of the efficacy of different KT patch types on improving the daily life ability of stroke patients:I+X+claw>X+claw>I+X>I+X+Y>Y+T>I+Y>X+Y+claw>I+claw>I+I>control.The improvement effect of different ligation maintenance time ranked:24-48h>over 72h>49-72h.Conclusion With the combination of I+X+claw muscle KT,the best maintenance time of a single patch was 24-48h,which had the best improvement effect on the upper limb function and daily living ability of stroke patients.
4.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
5.HuiNet report of 2024: the distribution and antimicrobial resistance profile of clinical bacterial isolates in Anhui province
Yanyan LIU ; Yasheng LI ; Liang YU ; Yi YANG ; Ting WU ; Jun YIN ; Lifen HU ; Ying YE ; Jiabin LI
Chinese Journal of Clinical Infectious Diseases 2025;18(1):63-76
Objective:To report the surveillance results of the distribution and antimicrobial resistance profile of clinical isolates in Anhui province.Methods:Surveillance data from 94 members of the Anhui Antimicrobial Resistance Surveillance Network(HuiNet)from October 2023 to September 2024 were collected,the major drug-resistant bacteria and the resistance to commonly used antibiotics were analyzed. WHONET 5.6 and SPSS 25.0 software were used for data analysis.Results:Among 240 339 clinical strains,Gram-negative bacteria accounted for 75.0%(180 153 strains). The detected bacteria mainly include Escherichia coli( n=53 587,22.3%), Klebsiella pneumoniae( n=39 774,16.5%), Pseudomonas aeruginosa( n=25 505,10.6%), Staphylococus aureus( n=19 438,8.1%), Acinetobacter baumannii complex( n=14 239,5.9%),and so on. The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococcus aureus(MRCNS)were 37.7%(7 112/18 853)and 73.9%(13 221/17 895),respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of carbapenem-resistant Escherichia coli(CREC)and Klebsiella pneumoniae(CRKP)were 1.9%(971/51 991)and 12.3%(4 864/39 414),respectively. The resistance rate of CRKP to tigecycline and polycolistin B was 7.7% and 7.9%,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex and Pseudomonas aeruginosa(CRPA)were 57.9%(8 222/14 198)and 18.2%(4 569/25 052),respectively,with low resistance to polycolistin B(2.0% and 7.2%,respectively). The detection rates of MRSA,MRCNS,CRAB complex,third-generation cephalosporin-resistant Escherichia coli(3GC-R-EC)and quinolone-resistant Escherichia coli(QREC)in northern Anhui were the highest(46.8%,77.1%,65.6%,57.6% and 55.5%,respectively),which were higher than those in central and southern Anhui( χ2=107.858 and 566.202,5.950 and 142.223,39.254 and 289.137,135.402 and 449.114,39.142 and 185.114, P<0.05 or <0.01),and the detection rates in central Anhui were higher than those in southern Anhui( χ2=272.031,102.717,162.409,118.891 and 66.889,all P<0.001). The detection rates of CRKP,CRPA and thirdgeneration cephalosporinresistant Klebsiella pneumoniae(3GC-R-KP)in central Anhui were the highest(16.7%,21.7% and 32.0%,respectively),which were higher than those in northern and southern Anhui( χ2=229.656 and 439.377,156.599 and 65.818,77.386 and 232.568,all P<0.001). The detection rates of CREC,3GC-R-EC and QREC were the highest in the elderly(2.2%,54.0% and 56.4%,respectively),which were higher than those in children and adults( χ2=8.034 and 13.150,17.032 and 103.437,438.353 and 183.099,all P<0.01). The detection rates of CRKP and 3GC-R-KP in neonates were the highest(20.6% and 56.9%,respectively),which were significantly higher than those in children,adults and the elderly( χ2=38.869,8.337 and 7.921;65.517,55.525 and 49.214,all P<0.01),and the detection rate of 3GC-R-KP in the elderly was higher than that in children and adults( χ2=14.122 and 7.501,both P<0.01). The detection rates of CRAB complex,CRPA,CREC,CRKP and 3GC-R-KP in tertiary hospitals were higher than those in secondary hospitals( χ2=25.606,16.501,5.820,33.116 and 117.086, P<0.05 or <0.01). Except for MRSA,vancomycin-resistant Enterococcus faecium and QREC,the detection rates of major drug-resistant bacteria in intensive care unit(ICU)were the highest(all P<0.001). From 2019 to 2024,the detection rates of MRSA,MRCNS,CRKP,CRAB complex and CRPA all showed a slow decreasing trend( χ2=42.319,122.779,340.381,83.512 and 81.668,all P<0.001). Conclusions:The situation of antimicrobial resistance in Anhui province shows a downward trend,but it is still serious,especially in northern and central Anhui. It is necessary to pay attention to the bacterial resistance particularly for the elderly,newborns,children and ICU.
6.Evaluation of a deep learning-driven centerline extraction algorithm for optimizing the diagnosis of the"gray zone"in noninvasive coronary fractional flow reserve
Zi-qiang GUO ; Xi WANG ; Zi-nuan LIU ; Yi-pu DING ; Ran XIN ; Dong-kai SHAN ; Jun GUO ; Yun-dai CHEN ; Jun-jie YANG
Chinese Journal of Interventional Cardiology 2025;33(6):312-318
Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P<0.001;DeepCL-FFR:r=0.86,P<0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95%CI 0.94-0.99)and MCP-FFR(AUC 0.92,95%CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8%,whereas DeepCL-FFR increased it to 89.7%.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95%CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95%CI 0.54-0.87)(P<0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."
7.Prevalence and molecular characterization of Shiga toxin-producing Esch-erichia coli in domestic goats in the Chengkou District of Chongqing
Jing-jing PENG ; Bin HU ; Xi YANG ; Yi LI ; Hai HUANG ; Wen-shuang LIU ; Yu MENG ; Li-jun WANG ; Yan-wen XIONG ; Yi YUAN ; Pei-bin HOU
Chinese Journal of Zoonoses 2025;41(5):529-536
This study investigated the infection status,drug resistance,and molecular characteristics of Shiga toxin-producing Escherichia coli(STEC)in domestic goats in Chengkou county,Chongqing.In August 2023,283 fecal samples were collected from households in Chengkou county.After enrichment with EC broth and inoculation onto selective media,samples that tested positive for stx1/stx2 were selected for further isolation.The positive strains were investigated with antimicrobial susceptibility testing and whole genome sequencing.According to the whole genomic sequences,the stx subtypes,serotypes,multi-locus sequence types,virulence genes,drug resistance genes,and phylogenetic relationships of the STEC strains were analyzed.Forty-six strains of STEC were isolated from 283 goat fecal samples,thus resulting in a detection rate of 16.25%.The 46 STEC strains were categorized into 12 O∶H serotypes,among which O76∶H19 and O8∶H7 predominated,each represented by 9 strains.Five STEC strains were identified as serotype O157∶H7.The 46 STEC strains were categorized into 11 sequence types(STs),among which ST675 and ST196 predominated,each represented by nine strains,accounting for a 19.57%proportion.The strains were categorized into 7 stx subtypes,among which stx1c(26/46,56.52%),followed by stx2k(9/46,19.57%)predominated.All nine Stx2k-STEC strains were identified as serotype O8∶H7 and sequence type ST196.In antimicrobial susceptibility testing,2 STEC strains were resistant to ampicillin,one strain was resistant to ampicillin/sulbactam,one strain was resistant to cefazolin,and one strain was resistant to cefoxitin.Nine Stx2k-STEC strains were found to carry the beta-lactam resistance gene blaEC-18.Antimicrobial sensitivity tests revealed that the nine Stx2k-STEC strains were sensitive to all 15 tested antibiotics.Moreover,phylogenetic analysis indicated that the 9 Stx2k-STEC strains were remarkably similar but showed high genetic diversity with respect to that of the Stx2k-STEC strains isolated from other regions in China.Goatsare an important animal reservoir for STEC in theChengkou district of Chongqing,and novel sequence type Stx2k-STEC strains distinct from those found in other regions of China were identified in this region.
8.Dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network
Xin-yi WANG ; Tao ZHANG ; Xiang TIAN ; Ning YANG ; Jun-jie DU ; Xue-chao LIU ; Feng FU ; Xue-tao SHI ; Can-hua XU
Chinese Medical Equipment Journal 2025;46(6):1-6
Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]
9.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]
10.Proximal effect of anxiety on non-suicidal self-injury behaviors in adolescent patients with depression and the intervention efficacy of modified cognitive behavioral therapy: an ecological momentary assessment study
Shaonan HUANG ; Jun KONG ; Zheng LIU ; Yi ZHANG ; Weijuan ZHANG ; Xiao WANG ; Xiucheng TANG ; Jiansong ZHOU
Sichuan Mental Health 2025;38(5):414-420
BackgroundIn recent years, the prevalence of depression among adolescents has risen steadily, alongside an increasing prominence of non-suicidal self-injury (NSSI) behaviors in this population, which may elevate suicide risk and constitute a serious public health problem. Negative emotions such as anxiety and depression are closely related to NSSI behaviors. Previous studies have predominantly relied on retrospective reports, limiting the ability to dynamically capture temporal relationships between emotional fluctuations and NSSI behaviors. Moreover, cognitive behavioral therapy (CBT) often lacks targeted design to address proximal triggers in interventions for NSSI behaviors. ObjectiveTo verify that anxiety as a proximal trigger factor for NSSI behaviors in adolescent patients with depression, and to evaluate the efficacy of modified CBT integrated with ecological momentary assessment (EMA) data in alleviating their anxiety and self-injury urges. MethodsA prospective cohort study design was adopted. A total of 132 adolescent patients with a history of NSSI behaviors who were treated at Jiujiang Fifth People's Hospital from January to December 2024 and met the diagnostic criteria for depression in the Diagnosed and Statistical Manual of Mental Disorders, fifth edition (DSM-5). A smartphone-based EMA application to conduct natural situation emotions on participants for 14 consecutive days. The monitoring period spanned from 10∶00 to 22∶00 daily, with randomized assessments pushed every 2 hours. The assessment tools included the Self-rating Anxiety Scale (SAS) and the negative affect subscale of the Positive and Negative Affect Schedule (PANAS), with real-time recording of NSSI behaviors and emotional states before and after their occurrence. Repeated measures analysis of variance was used to compare the dynamic changes in the scores of each scale before and after the episodes of NSSI behaviors. A modified CBT was administered to 83 participants who completed EMA data collection, with sessions conducted once weekly for 12 weeks. Anxiety levels were accessed using the SAS, and the self-injury urges was evaluated using the Ottawa Self-injury Inventory (OSI) before and after the intervention. ResultsEMA data revealed that SAS scores were significantly higher during the 1-2 hours before NSSI episodes compared to baseline periods [(56.19±11.06)vs.(52.83±10.25),P<0.01]. SAS scores were positively correlated with the NSSI behavioral scores (r=0.460,P<0.01,95% CI:0.310-0.580). After receiving modified CBT intervention, adolescent patients with depression demonstrated statistically significant decreases in both SAS scores [(52.30±8.10) vs.(48.70±7.30),t(82)=4.820,P<0.01,Cohen's d=0.420] and the OSI self-injury impulse subcale scores [(12.80±2.70) vs.(9.60±2.50),t(82)=5.170,P<0.01,Cohen's d=0.510] compared to their pre-intervention levels. ConclusionAnxiety may serve as a proximal trigger for NSSI behaviors in adolescent patients with depression. Modified CBT integrating EMA data could potentially alleviate their anxiety level and self-injury urges. [Funded by Science and Technology Plan Project of Jiangxi Provincial Health Commission (number, SKJP220227629)]


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