1.Expert consensus on the assessment and rehabilitation management of speech disorders following oral and maxillofacial tumor surgery
Xiaoying LI ; Moyi SUN ; Wei GUO ; Zhangui TANG ; Longjiang LI ; Guoxin REN ; Zhijun SUN ; Wei SHANG ; Jie ZHANG ; Jian MENG ; Jichen LI ; Kai YANG ; Yue HE ; Chunjie LI ; Lizheng QIN ; Bo LI ; Wei WU ; Qinlong LI-ANG ; Qianwei NI ; Jianhu LI ; Xiangming YANG ; Xiaoyan ZHOU ; Fan YANG ; Jiacun LI ; Tao GAO
Journal of Practical Stomatology 2025;41(1):5-15
The advancement of surgical techniques enables effective treatment for many patients with oral and maxillofacial tumors.How-ever,post-surgery problems such as chewing,swallowing and speech difficulty may arise due to the defects in speech organs and inade-quate compensatory function of tissue flap repair.Speech disorders,in particular,isolate patients by making it difficult for them to com-municate with others,not only impact their quality of life but also potentially lead to psychological problems and social interaction disor-ders.Although the decline in life quality and other related issues caused by speech dysfunction due to surgery and radiotherapy or chemo-therapy have been widely recognized,there is currently no standardized and universally applicable assessment method and standardized re-habilitation treatment management guideline or consensus for speech disorders following oral and maxillofacial tumor surgery at home and abroad.Based on previous clinical practice,combined with the characteristics of speech disorders in patients after oral and maxillofacial tumor surgery,the clinical experience of the experts in maxillofacial tumor surgery and rehabilitation and the relevant domestic and foreign literature,relevant experts organized discussions and modifications,reach a consensus on core content such as the assessment of speech disorders and the implementation plan for early rehabilitation treatment management,providing a reference for clinical practice,in order to improve patients'speech-related life quality and enhance the assessment and rehabilitation treatment techniques for speech disorders after oral and maxillofacial tumor surgery.
2.Comparison of left ventricular reverse remodeling and prognosis after transcatheter aortic valve replacement in aortic stenosis and mixed aortic valve disease
Meng SUN ; Lu-lin CHEN ; Jing-yun BAI ; Li-jie YAN ; Jing-jing LIU ; Xian-wei FAN ; Xue-jie LI ; Juan HU ; Jin-tao WU ; Hai-tao YANG
Chinese Journal of Interventional Cardiology 2025;33(2):71-78
Objective To evaluate the effects of transcatheter aortic valve replacement(TAVR)on left ventricular reverse remodeling(LVRR)and outcomes in patients with mixed aortic valve disease(MAVD)and predominant aortic stenosis(AS).Methods Patients undergoing TAVR at our center between January 2020 and December 2022 were enrolled consecutively.Propensity score matching(PSM)(1∶1 ratio)was used to reduce selection bias.Transthoracic echocardiography(TTE)was used to monitor left ventricular ejection fraction(LVEF)and other structural parameters over time.The study outcome was a composite of cardiovascular death and rehospitalization due to cardiovascular causes.Linear mixed-effects models and logistic regression were utilized for comparing echocardiographic changes across groups and identifying independent risk factors for no-LVRR,respectively.Results After PSM,126 patients were included.MAVD group exhibited larger structural parameters(left ventricular end-systolic/end-diastolic diameter and volume,left ventricular mass index)and a lower left ventricular ejection fraction(LVEF)(all P<0.05).However,more pronounced improvements in left ventricular structure and hemodynamics were observed during follow-up.Multivariate logistic regression analysis indicated that the left ventricular mass index(LVMI)was an independent predictor of left ventricular reverse remodeling(LVRR)after TAVR,whereas persistent moderate or greater mitral regurgitation(MR)and paravalvular leak(PVL)significantly reduced the incidence of LVRR.During a median follow-up period of 23 months,a total of 31 endpoint events occurred,and there was no statistically significant difference in long-term prognosis between the two groups(Log-rank P=0.330).Conclusions Compared to patients in the AS group,those in the MAVD group exhibited more severe left ventricular remodeling before TAVR.However,more significant LVRR was observed during postoperative follow-up.Additionally,the long-term prognosis was comparable between the two groups.
3.Diagnostic value of novel inflammatory markers related to routine blood tests in elderly patients with chronic cardiovascular disease complicated with frailty
Xing-Man FAN ; Yan-Yan LI ; Qiong-Yi HE ; Wei-Na LUO ; Xiao-Hua LAN ; Kai-Jie ZHANG ; Meng WANG ; Xiang-Ren KONG ; Hai-Tao ZHANG
Medical Journal of Chinese People's Liberation Army 2025;50(3):301-308
Objective To investigate the diagnostic value of 4 novel inflammatory markers related to routine blood tests,namely neutrophil-to-lymphocyte ratio(NLR),red blood cell distribution width(RDW),hemoglobin-to-RDW ratio(HRR)and systemic immune-inflammation index(SII),in elderly patients with chronic cardiovascular disease(CVD)complicated with frailty.Methods Retrospectively analyze 110 patients with chronic stable CVD who were hospitalized in the cadre ward of cardiovascular medicine at the Air Force Characteristic Medical Center from January 2022 to June 2023.According to the assessment results of the Fried scale,they were divided into three groups:non-frailty group(Fried score=0,n=30),the pre-frailty group(Fried score 1 or 2,n=40)and frailty group(Fried score≥3,n=40).The differences in general information,the impairment rate of daily living activities,miniature nutritional assessment-short form(MNA-SF)scores,mini-mental state examination(MMSE)scores,and the indicators such as NLR,RDW,HRR,and SII among the three groups were compared.Spearman rank correlation was used to analyze the correlation between NLR,RDW,HRR,SII and frailty scores as well as each frailty indicator.Multivariate logistic regression analysis was performed to identify the independent risk factors for frailty in elderly patients with chronic CVD,and the receiver operating characteristic(ROC)curve was used to assess the clinical diagnostic value of NLR and HRR in elderly patients with chronic CVD complicated with frailty.Results Compared with non-frailty group and pre-frailty group,patients in frailty group were older,with higher impaired rates of daily living activities,NLR,RDW,and SII,and lower MNA-SF scores,MMSE scores,and HRR,and differences were statistically significant(P<0.05).Spearman rank correlation analysis showed that the frailty score was positively correlated with NLR(rs=0.354,P<0.001),and RDW(rs=0.448,P<0.001),negatively correlated with HRR(rs=-0.232,P=0.024),and had no significant correlation with SII(rs=0.144,P=0.167).Further analysis of the correlation between the above novel inflammatory markers and the 5 components of frailty showed that NLR was positively correlated with fatigue(rs=0.228,P=0.017),slowed walking speed(rs=0.299,P<0.001),and low physical function(rs=0.319,P<0.001);RDW was positively correlated with decreased grip strength(rs=0.321,P<0.001),slowed walking speed(rs=0.422,P<0.001),and low physical function(rs=0.246,P=0.001);and HRR was negatively correlated with slowed walking speed(rs=-0.230,P=0.025),and low physical function(rs=-0.299,P=0.003).Multivariate logistic regression analysis showed that MNA-SF score(OR=0.577,95%CI 0.342-0.973)was an independent protective factor for pre-frailty in elderly patients with chronic CVD(P<0.05);NLR(OR=7.866,95%CI 1.101-56.185)was an independent risk factor for frailty,while HRR(OR=0.344,95%CI 0.120-0.983)and MNA-SF score(OR=0.292,95%CI 0.146-0.580)were independent protective factors for frailty in elderly CVD patients(P<0.05).The area under the ROC curve of NLR and HRR for diagnosing frailty in elderly patients with chronic CVD were 0.778 and 0.749,respectively.Conclusion NLR and HRR have high clinical diagnostic value for frailty in elderly patients with chronic CVD,and are expected to become effective inflammatory markers for screening elderly patients with chronic CVD complicated with frailty.
4.Consensus on informed consent for orthodontic treatment
Yang CAO ; Bing FANG ; Zuolin JIN ; Hong HE ; Yuxing BAI ; Lin WANG ; Haiping LU ; Zhihe ZHAO ; Tianmin XU ; Weiran LI ; Min HU ; Jinlin SONG ; Jun WANG ; Fang JIN ; Ding BAI ; Xianglong HAN ; Yuehua LIU ; Bin YAN ; Jie GUO ; Jiejun SHI ; Yongming LI ; Zhihua LI ; Xiuping WU ; Jiangtian HU ; Linyu XU ; Lin LIU ; Yi LIU ; Yanqin LU ; Wensheng MA ; Shuixue MO ; Liling REN ; Shuxia CUI ; Yongjie FAN ; Jianguang XU ; Lulu XU ; Zhijun ZHENG ; Peijun WANG ; Rui ZOU ; Chufeng LIU ; Lunguo XIA ; Li HU ; Weicai WANG ; Liping WU ; Xiaoxing KOU ; Jiali TAN ; Yuanbo LIU ; Bowen MENG ; Yuantao HAO ; Lili CHEN
Chinese Journal of Stomatology 2025;60(12):1327-1336
This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.
5.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.
6.Systematic review of predictive models for stress urinary incontinence in pregnant and postpartum women
Xiaoying LIANG ; Jialu ZHANG ; Tianyi WANG ; Caile ZHANG ; Jie CHEN ; Guorong FAN ; Dongying ZHANG ; Meng ZHANG ; Yilin LI ; Haixin BO
Chinese Journal of Modern Nursing 2025;31(12):1619-1627
Objective:To systematically evaluate predictive models for stress urinary incontinence (SUI) in pregnant and postpartum women, providing a reference for model development, application, and promotion.Methods:A comprehensive literature search was conducted in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and China Biology Medicine disc for studies on SUI predictive models in pregnant and postpartum women. The search period was from database inception to September 30, 2024. Two researchers independently screened the literature and extracted data according to inclusion and exclusion criteria. The risk of bias in the predictive models was assessed using the prediction model risk of bias assessment tool.Results:A total of 23 studies were included, covering 31 predictive models for SUI, with a combined sample size of 14 473 women. Among them, six models focused on predicting SUI in pregnant women, while 25 models were developed for postpartum SUI. The predictive factors identified in these models were categorized into nine groups, including: general information for pregnant and postpartum women, delivery data, neonatal data, past history, abortion history, lifestyle data, pelvic floor muscle screening results, 2D and 3D ultrasound data, and serological indicators. Among these, age, mode of delivery, parity, body mass index, history of SUI, and neonatal weight were widely recognized as key predictive factors. External validation was performed in five studies. Five studies showed good applicability and low bias risk, except for one study that had limitations in both bias risk and applicability, and the remaining studies exhibited a high risk of bias but demonstrated good applicability.Conclusions:The methodological quality of SUI predictive models for pregnant and postpartum women needs further improvement. External validation remains insufficient. Future model development should be based on large-sample, prospective studies, incorporating appropriate predictive factors and stratifying SUI risk in different populations to enhance clinical applicability.
7.Best evidence summary for strategies to promote pelvic floor muscle contraction function in postpartum women
Jialu ZHANG ; Jie CHEN ; Caile ZHANG ; Guorong FAN ; Tangdi LIN ; Meng ZHANG ; Dongying ZHANG ; Yilin LI ; Xiao CHEN ; Xiaoying LIANG ; Tianyi WANG ; Haixin BO
Chinese Journal of Modern Nursing 2025;31(18):2427-2434
Objective:To search, evaluate, and summarize evidence regarding strategies to promote pelvic floor muscle contraction (PFMC) function in postpartum women, providing a basis for clinical practice.Methods:A comprehensive search was conducted in computer decision support systems, guideline websites, relevant professional association websites, and English and Chinese databases for evidence related to strategies to promote PFMC function in postpartum women. The sources included guidelines, expert consensus, evidence summaries, systematic reviews, and original studies, with the search period from June 2014 to January 2025. Two researchers independently assessed the quality of the included articles and extracted data for the evidence summary.Results:A total of 24 articles were included: nine guidelines, five expert consensus, three evidence summaries, two systematic reviews, and five original studies. The evidence was summarized across four domains: screening and assessment, team building, intervention strategies, and outcome evaluation, resulting in 25 key pieces of evidence.Conclusions:This study summarizes the best evidence for strategies to promote PFMC function in postpartum women, providing scientific and rigorous evidence for clinical practice. It supports the development of effective training programs to enhance postpartum women's quality of life.
8.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
9.Identification of novel pathogenic variants in genes related to pancreatic β cell function: A multi-center study in Chinese with young-onset diabetes.
Fan YU ; Yinfang TU ; Yanfang ZHANG ; Tianwei GU ; Haoyong YU ; Xiangyu MENG ; Si CHEN ; Fengjing LIU ; Ke HUANG ; Tianhao BA ; Siqian GONG ; Danfeng PENG ; Dandan YAN ; Xiangnan FANG ; Tongyu WANG ; Yang HUA ; Xianghui CHEN ; Hongli CHEN ; Jie XU ; Rong ZHANG ; Linong JI ; Yan BI ; Xueyao HAN ; Hong ZHANG ; Cheng HU
Chinese Medical Journal 2025;138(9):1129-1131
10.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

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