1.Randomized controlled trial of enhanced cognitive behavioral therapy for chronic insomnia with comorbid anxiety/depression
Xin LUO ; Jingru LI ; Jingfang LU ; Fangmei GE ; Jie ZHANG ; Jing ZHANG ; Wanqi SUN ; Wenqing ZHAO ; Binbin SHI ; Chengmei YUAN
Chinese Journal of Psychiatry 2025;58(3):202-210
Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.
2.Methylene-blue-mediated photodynamic therapy induces ferroptosis in melanoma cells by inhibiting SLC7A11 expression
Jie TAN ; Xiangkang JIANG ; Wanqi ZHANG ; Guihong YANG ; Yuangang LU
Immunological Journal 2025;41(1):29-35,43
Objective This study aimed to investigate whether photodynamic therapy(PDT)with methylene blue(MB)as a photosensitizer can induce ferroptosis in melanoma cells and its potential mechanisms.Methods The paraffin sections of malignant melanoma patients(5 cases)and malignant melanoma patients with lymph node metastasis(5 cases)were collected.Prussian blue,TUNEL and immunohistochemical staining were performed to compare the degree of ferroptosis between the two groups.CCK-8 assay and scratch assay were used to detect the cytotoxic effect of methylene blue and methylene-blue-mediated photodynamic therapy on B16F10 under different treatment conditions and the effect of cell migration ability.The expression of ferroptosis-related proteins(glutathione peroxidase 4,GPX4、solute carrier family 7 member 11,SLC7A11)in B16F10 cells was detected by Western blot.The expression levels of intracellular malondialdehyde(MDA)and GSH/GSSG were detected by microplate reader.The expression levels of reactive oxygen species(ROS),Fe2+and lipid peroxide(LPO)in B16F10 cells were detected by flow cytometry.Results Compared with melanoma cells transferred to lymph nodes,the non-metastatic group had a higher degree of ferroptosis and a lower expression level of SLC7A11.The cytotoxicity of MB and MB-PDT on B16F10 was dose-dependent(P<0.000 1).The results of scratch assay showed that MB-PDT inhibited the migration ability of B16F10 cells(P<0.001).Compared with the control group,after MB-PDT treatment,the expression levels of GPX4,SLC7A11 and GSH/GSSG were decreased(P<0.05),and the expression levels of ROS,Fe2+,LPO and MDA were increased(P<0.05)in B16F10 cells.Pretreatment with Ferrostatin-1,an inhibitor of ferroptosis,inhibited MB-PDT-induced cytotoxicity and ferroptosis in B16F10 cells(P<0.05).Conclusion MB-PDT can induce ferroptosis of melanoma cells by inhibiting SLC7A11 expression,thereby inhibiting the progression of melanoma.
3.Methylene-blue-mediated photodynamic therapy induces ferroptosis in melanoma cells by inhibiting SLC7A11 expression
Jie TAN ; Xiangkang JIANG ; Wanqi ZHANG ; Guihong YANG ; Yuangang LU
Immunological Journal 2025;41(1):29-35,43
Objective This study aimed to investigate whether photodynamic therapy(PDT)with methylene blue(MB)as a photosensitizer can induce ferroptosis in melanoma cells and its potential mechanisms.Methods The paraffin sections of malignant melanoma patients(5 cases)and malignant melanoma patients with lymph node metastasis(5 cases)were collected.Prussian blue,TUNEL and immunohistochemical staining were performed to compare the degree of ferroptosis between the two groups.CCK-8 assay and scratch assay were used to detect the cytotoxic effect of methylene blue and methylene-blue-mediated photodynamic therapy on B16F10 under different treatment conditions and the effect of cell migration ability.The expression of ferroptosis-related proteins(glutathione peroxidase 4,GPX4、solute carrier family 7 member 11,SLC7A11)in B16F10 cells was detected by Western blot.The expression levels of intracellular malondialdehyde(MDA)and GSH/GSSG were detected by microplate reader.The expression levels of reactive oxygen species(ROS),Fe2+and lipid peroxide(LPO)in B16F10 cells were detected by flow cytometry.Results Compared with melanoma cells transferred to lymph nodes,the non-metastatic group had a higher degree of ferroptosis and a lower expression level of SLC7A11.The cytotoxicity of MB and MB-PDT on B16F10 was dose-dependent(P<0.000 1).The results of scratch assay showed that MB-PDT inhibited the migration ability of B16F10 cells(P<0.001).Compared with the control group,after MB-PDT treatment,the expression levels of GPX4,SLC7A11 and GSH/GSSG were decreased(P<0.05),and the expression levels of ROS,Fe2+,LPO and MDA were increased(P<0.05)in B16F10 cells.Pretreatment with Ferrostatin-1,an inhibitor of ferroptosis,inhibited MB-PDT-induced cytotoxicity and ferroptosis in B16F10 cells(P<0.05).Conclusion MB-PDT can induce ferroptosis of melanoma cells by inhibiting SLC7A11 expression,thereby inhibiting the progression of melanoma.
4.Randomized controlled trial of enhanced cognitive behavioral therapy for chronic insomnia with comorbid anxiety/depression
Xin LUO ; Jingru LI ; Jingfang LU ; Fangmei GE ; Jie ZHANG ; Jing ZHANG ; Wanqi SUN ; Wenqing ZHAO ; Binbin SHI ; Chengmei YUAN
Chinese Journal of Psychiatry 2025;58(3):202-210
Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.
5.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
6.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
7.Current Status and Prospects of Radiation Therapy Guided by Optical Surface Monitoring Technology
Jing SHEN ; Wanqi CHEN ; Xiaorong HOU ; Jie QIU
Medical Journal of Peking Union Medical College Hospital 2024;15(1):135-140
Surface guided radiation therapy (SGRT) is a non-radiation, non-invasive technology that provides continuous postural monitoring of patients during radiotherapy. Using advanced 3D optical surface localization and tracking technology, SGRT quickly captures the surface contour information of patients through optical means to generate high-precision 3D surface contours, enabling real-time monitoring of patients during radiotherapy to ensure its accuracy. This image-guided technology has been widely applied in radiotherapy for tumors in different parts of the body, such as breast, intracranial, head and neck, and limbs. SGRT can reduce initial setup errors and provide real-time monitoring during treatment, or be combined with respiratory gating and deep inspiration breath-hold techniques. SGRT can also reduce radiation dose by reducing the use of CBCT, improve patient comfort with the use of immobilization devices, and enhance clinical speed, efficiency, and safety. This review aims to provide an overview of the commonly used technology and clinical applications of SGRT, and discuss its current limitations and future prospects.
8.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
9.Treatment bilateral factors of cognitive behavior therapy for insomnia from the perspective of patients
Jingfang LU ; Jingru LI ; Fangmei GE ; Jie ZHANG ; Jing ZHANG ; Wanqi SUN ; Wenqing ZHAO ; Binbin SHI ; Xin LUO ; Chengmei YUAN
Chinese Journal of Psychiatry 2023;56(6):445-452
Objective:The current study aims to explore the factors related to the efficacy of cognitive behavior therapy for insomnia (CBT-I) from the perspective of patients and to provide references for more effective implementation of CBT-I.Methods:Using qualitative research methods, 21 insomnia patients with depression/anxiety were treated with CBT-I for 8 consecutive times. Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Scale (HAMD 17), and Hamilton Anxiety Scale (HAMA) were assessed at baseline and the end of the 8th week of treatment. The paired sample t-test was conducted. Semi-structured interviews were performed at week 2, week 4, and week 8 respectively and thematic analysis was used to code and analyze the interview data. Results:Compared with baseline data, the symptoms of insomnia (13.6±2.0 vs. 6.9±2.4), depression (14.6±5.5 vs. 5.0±3.6), and anxiety (17.2±3.4 vs. 5.3±3.9) were significantly improved after 8 weeks of CBT-I treatment ( t=-3.31, -3.19, -2.94, all P<0.01). The patient factors influencing the efficacy of CBT-I were treatment expectation and approval, motivation, compliance, and internalization of treatment content. The therapist factors were professionalism, well-directed, treatment style, supervision, and giving hope. Conclusion:Compliance and high levels of participation of the patients can benefit the treatment efficacy of CBT-I. Therapists should have sufficient experience, stimulate patients′ motivation, improve patients′ compliance, and carry out adequate psychological education in the early stage to increase the efficacy of CBT-I.
10.Treatment bilateral factors of cognitive behavior therapy for insomnia from the perspective of patients
Jingfang LU ; Jingru LI ; Fangmei GE ; Jie ZHANG ; Jing ZHANG ; Wanqi SUN ; Wenqing ZHAO ; Binbin SHI ; Xin LUO ; Chengmei YUAN
Chinese Journal of Psychiatry 2023;56(6):445-452
Objective:The current study aims to explore the factors related to the efficacy of cognitive behavior therapy for insomnia (CBT-I) from the perspective of patients and to provide references for more effective implementation of CBT-I.Methods:Using qualitative research methods, 21 insomnia patients with depression/anxiety were treated with CBT-I for 8 consecutive times. Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Scale (HAMD 17), and Hamilton Anxiety Scale (HAMA) were assessed at baseline and the end of the 8th week of treatment. The paired sample t-test was conducted. Semi-structured interviews were performed at week 2, week 4, and week 8 respectively and thematic analysis was used to code and analyze the interview data. Results:Compared with baseline data, the symptoms of insomnia (13.6±2.0 vs. 6.9±2.4), depression (14.6±5.5 vs. 5.0±3.6), and anxiety (17.2±3.4 vs. 5.3±3.9) were significantly improved after 8 weeks of CBT-I treatment ( t=-3.31, -3.19, -2.94, all P<0.01). The patient factors influencing the efficacy of CBT-I were treatment expectation and approval, motivation, compliance, and internalization of treatment content. The therapist factors were professionalism, well-directed, treatment style, supervision, and giving hope. Conclusion:Compliance and high levels of participation of the patients can benefit the treatment efficacy of CBT-I. Therapists should have sufficient experience, stimulate patients′ motivation, improve patients′ compliance, and carry out adequate psychological education in the early stage to increase the efficacy of CBT-I.

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