1.Modified Morrow procedure for the treatment of hypertrophic obstructive cardiomyopathy: A single-center retrospective study in 318 patients
Jie LI ; Fan WENG ; Nan CHEN ; Yongxin SUN ; Changfa GUO ; Chunsheng WANG ; Yi LIN ; Wenjun DING
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(03):431-437
Objective To summarize the clinical efficacy of modified Morrow surgery in the treatment of hypertrophic obstructive cardiomyopathy. Methods A retrospective analysis was conducted on the clinical data of patients with hypertrophic obstructive cardiomyopathy treated with modified Morrow surgery at Zhongshan Hospital Affiliated to Fudan University from 2020 to 2023. Results A total of 318 patients were enrolled, including 156 males and 162 females, with an average age of (55.6±13.1) years. Preoperative echocardiography showed a mean interventricular septal thickness of (18.1±3.8) mm, peak left ventricular outflow tract pressure difference of (86.4±24.9) mm Hg. The surgery time was (162.3±51.0) min, extracorporeal circulation time was (80.9±31.0) min, and aortic occlusion time was (44.8±20.8) min. After the surgery, transesophageal echocardiography showed that the interventricular septal thickness was (11.0±1.8) mm and left ventricular outflow tract peak pressure difference was (9.4±5.1) mm Hg. The incidence rate of postoperative complete left bundle branch block was 45.3%, Ⅲ° atrioventricular block was 3.8%, and postoperative newly developed atrial fibrillation was 3.1%. The postoperative hospital stay was (6.6±4.9) days, and one perioperative death occurred, with a mortality rate of 0.3%. The follow-up time was (10.3±9.4) months, during which the transthoracic echocardiography revealed a ventricular septal thickness of (12.9±2.9) mm and a peak left ventricular outflow tract pressure difference of (13.9±10.0) mm Hg. Conclusion The modified Morrow procedure for the treatment of hypertrophic obstructive cardiomyopathy is safe and effective, with good results in the short and medium term.
2.Establishment of a method for simultaneous determination of ceftazidime,avibactam and aztreonam concentrations in human plasma
Lili WENG ; Yi ZHANG ; Ruixia ZHANG ; Yayao LYU ; Cheng ZHU
China Pharmacy 2026;37(17):2292-2296
OBJECTIVE To establish a method for simultaneous determination of ceftazidime, avibactam and aztreonam concentrations in human plasma.METHODS Stable-isotope-labeled compounds ceftazidime-D 5 , avibactam- 13 C 5 and aztreonam- 2 H 6 were used as internal standards. Plasma samples were pretreated by protein precipitation with methanol, followed by nitrogen blowing. A ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) technique was applied to develop a quantitative analytical method for simultaneous measurement of ceftazidime, avibactam and aztreonam in human plasma. An ACQUITY UPLC BEH C 18 column was used as the chromatographic column. Gradient elution was performed with 0.01% formic acid-acetonitrile solution as the mobile phase at a flow rate of 0.3 mL/min. The column temperature was set at 40 ℃, and the injection volume was 5 μL. An electrospray ionization source was operated in both positive and negative ion modes for multiple reaction monitoring. Method validation was carried out according to the Guidelines for Bioanalytical Method Validation contained in volume Ⅳ of the 2020 edition of Chinese Pharmacopoeia .RESULTS The linear ranges of ceftazidime, avibactam and aztreonam were 0.04-200, 0.05-50,0.01-50 μg/mL, respectively, with all correlation coefficients no less than 0.996. The relative error (RE) for accuracy was no more than 12.25% ( n =5), and the RSD for precision was no more than 13.49% ( n =5). The RSD of internal-standard-normalized matrix factors was less than 15.00% ( n =6). The RE in stability tests was lower than 15.00% ( n =3).CONCLUSIONS This study successfully established an UPLC-MS/MS method for simultaneous determination of ceftazidime, avibactam and aztreonam concentrations in human plasma. The method possesses favorable accuracy, precision and stability, and can provide methodological support for therapeutic drug monitoring and individualized medication in patients treated with these three combined drugs.
3.Study on the relationship between thyroid hormone sensitivity and diabetic kidney disease in type 2 diabetes mellitus patients
Xiaona XU ; Yi WEI ; Xiaogang WENG ; Wei DU
Chinese Journal of Diabetes 2025;33(10):750-754
Objective To investigate the correlation between thyroid hormone(TH)sensitivity and diabetic kidney disease(DKD)in patients with type 2 diabetes mellitus(T2DM).Methods A total of 949 T2DM patients with normal thyroid function were selected from the National Standardized Metabolic Disease Management Center database of our hospital between May 2020 and October 2024.All the patients were divided into DKD group(n=466)with urinary albumin/creatinine ratio(UACR)≥30 mg/g and simple T2DM group(n=483)with UACR<30 mg/g.Free triiodothyronine(FT3),free thyroxine(FT4),thyroid stimulating hormone(TSH),thyroid feedback quantification index(TFQI),thyroid stimulating hormone resistance index(TT4RI),thyroid stimulating hormone index(TSHI),FT3/FT4 were compared between the two groups.Results Body mass index(BMI),DM duration,subcutaneous fat area(SFA),blood urea nitrogen(BUN),serum creatinine(Scr),UACR,TSHI and FT4 were higher(P<0.05 or P<0.01),while FT3,TFQI was lower in DKD group than in T2DM group(P<0.05).Spearman correlation analysis showed that TT4RI was positively correlated with Scr(P<0.05),and FT3/FT4 was negatively correlated with UACR(P<0.05)in DKD group.TT4RI was positively correlated with UACR in T2DM group(P<0.05).Logistic regression analysis showed that FT3,BUN and BMI were influencing factors for DKD.The model formula was established as follows:DKD=0.711+0.102×BMI-0.002×SFA+0.138×BUN+0.007×Scr-0.578×FT3-0.089×FT4+0.750×TFQI-0.277×TSHI,which can forecasted the risk of DKD occurrence by 10%.The receiver operator characteristic curve evaluated the area under the curre of the above model formula as 0.705,the sensitivity was 49.1%,the specificity was 80.3%,and the cut-off value was 0.464.Conclusions With normal thyroid function,impaired central and peripheral TH sensitivity is correlated with T2DM combined with DKD,and elevated FT3 is a protective factor for T2DM combined with DKD.
4.Severity of SARS-CoV-2 infection in children with kidney disease undergoing immunosuppressive therapy
Yunfan ZHANG ; Huanhuan YANG ; Jun HUANG ; Ai FENG ; Guizhi XIA ; Chengfeng WANG ; Guangming CHEN ; Xiaobin CHEN ; Zengfeng WENG ; Yi CHEN ; Jinrong WU ; Jingjing LIU ; Yuen YANG ; Yuzhen ZHANG ; Jinfeng LIN ; Yuxian TANG ; Junyan CHEN ; Xiaojing NIE
Chinese Journal of Pediatrics 2025;63(5):529-534
Objective:To investigate the impact of immunosuppressive therapy on the severity of SARS-CoV-2 infection and cytokine levels in pediatric patients with kidney diseases.Methods:A retrospective analysis was conducted on the clinical data of 40 hospitalized pediatric patients who were diagnosed with SARS-CoV-2 infection at the 900th Hospital of PLA Joint Logistic Support Force from December 2022 to February 2023. Based on their immunosuppressive status prior to SARS-CoV-2 infection, these patients were categorized into immunosuppressive group and non-immunosuppressive group. Independent sample t-tests, Mann-Whitney U tests, and χ2 test were employed to compare the clinical baseline characteristics and laboratory data, the severity of SARS-CoV-2 infection, and the levels of cytokines between the 2 groups. Results:Among the 40 patients, 11 were in the immunosuppressive group (aged 13 (8, 14) years, 9 males and 2 females) and 29 in the non-immunosuppressive group (aged 2 (1, 4) years, 15 males and 14 females). In the immunosuppressive group, 2 were asymptomatic cases, 8 were mild cases, and 1 was moderate case, and there was no severe or critical cases. In the non-immunosuppressive group, 8 were mild cases, 5 were moderate, 15 were severe cases, 1 was critical case, and no asymptomatic cases. The underlying diseases in the immunosuppressive group included nephrotic syndrome (6 cases), IgA vasculitis nephritis (2 cases), lupus nephritis (1 case), post-renal transplantation (1 case), and renal failure (1 case), with a mean total immunosuppression score (TIS) of (3.6±1.4) points. In the non-immunosuppressive group, 2 patients had a history of epilepsy, and the remaining 27 cases had no underlying conditions, all with TIS scores of 0. Compared to the children in the non-immunosuppressive group, those in the immunosuppressive group were more likely to exhibit asymptomatic or mild infection, with lower risks of severe disease, cytokine storm, fever, and cough, but a higher risk of fatigue ( OR=1.22, 2.66, 0.48, 0.12, 0.12, 0.13, 1.22; 95% CI 0.93-1.62, 0.99-7.15, 0.33-0.70, 0.03-0.57, 0.03-0.57, 0.03-0.65, 0.93-1.62; all P<0.05). The levels of cytokine IL-6, interferon-α and interferon-γ in the immunosuppressive group were all lower than those in the non-immunosuppressive group ( Z=2.23, 2.51, 2.92, respectively; all P<0.05). Conclusion:Pediatric patients with kidney diseases receiving appropriate immunosuppressive therapy may mitigate the severity of SARS-CoV-2 infection by suppressing the expression of cytokines.
5.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.
6.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.
7.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.
8.Neuroimaging aided diagnosis and transcranial magnetic stimulation interventions for autism spectrum disorder
Xuchu WENG ; Jin JING ; Jianhong LUO ; Xujun DUAN ; Yufeng ZANG ; Xin WANG ; Jiuxing LIANG ; Lixia YUAN ; Xingjie YANG ; Lei LI ; Lizi LIN ; Haiqing XU ; Zhuoming CHEN ; Saijun HUANG ; Qiang CHEN ; Quanying YI ; Maoping LIANG ; Yanjuan CHEN
Chinese Mental Health Journal 2025;39(8):661-670
Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.
9.Study on the relationship between thyroid hormone sensitivity and diabetic kidney disease in type 2 diabetes mellitus patients
Xiaona XU ; Yi WEI ; Xiaogang WENG ; Wei DU
Chinese Journal of Diabetes 2025;33(10):750-754
Objective To investigate the correlation between thyroid hormone(TH)sensitivity and diabetic kidney disease(DKD)in patients with type 2 diabetes mellitus(T2DM).Methods A total of 949 T2DM patients with normal thyroid function were selected from the National Standardized Metabolic Disease Management Center database of our hospital between May 2020 and October 2024.All the patients were divided into DKD group(n=466)with urinary albumin/creatinine ratio(UACR)≥30 mg/g and simple T2DM group(n=483)with UACR<30 mg/g.Free triiodothyronine(FT3),free thyroxine(FT4),thyroid stimulating hormone(TSH),thyroid feedback quantification index(TFQI),thyroid stimulating hormone resistance index(TT4RI),thyroid stimulating hormone index(TSHI),FT3/FT4 were compared between the two groups.Results Body mass index(BMI),DM duration,subcutaneous fat area(SFA),blood urea nitrogen(BUN),serum creatinine(Scr),UACR,TSHI and FT4 were higher(P<0.05 or P<0.01),while FT3,TFQI was lower in DKD group than in T2DM group(P<0.05).Spearman correlation analysis showed that TT4RI was positively correlated with Scr(P<0.05),and FT3/FT4 was negatively correlated with UACR(P<0.05)in DKD group.TT4RI was positively correlated with UACR in T2DM group(P<0.05).Logistic regression analysis showed that FT3,BUN and BMI were influencing factors for DKD.The model formula was established as follows:DKD=0.711+0.102×BMI-0.002×SFA+0.138×BUN+0.007×Scr-0.578×FT3-0.089×FT4+0.750×TFQI-0.277×TSHI,which can forecasted the risk of DKD occurrence by 10%.The receiver operator characteristic curve evaluated the area under the curre of the above model formula as 0.705,the sensitivity was 49.1%,the specificity was 80.3%,and the cut-off value was 0.464.Conclusions With normal thyroid function,impaired central and peripheral TH sensitivity is correlated with T2DM combined with DKD,and elevated FT3 is a protective factor for T2DM combined with DKD.
10.Neuroimaging aided diagnosis and transcranial magnetic stimulation interventions for autism spectrum disorder
Xuchu WENG ; Jin JING ; Jianhong LUO ; Xujun DUAN ; Yufeng ZANG ; Xin WANG ; Jiuxing LIANG ; Lixia YUAN ; Xingjie YANG ; Lei LI ; Lizi LIN ; Haiqing XU ; Zhuoming CHEN ; Saijun HUANG ; Qiang CHEN ; Quanying YI ; Maoping LIANG ; Yanjuan CHEN
Chinese Mental Health Journal 2025;39(8):661-670
Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

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