ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.

Quantitative structure-retention relationship (QSRR) is an important tool in chromatography. QSRR examines the correlation between molecular structures and their retention behaviors during chromatographic separation. This approach involves developing models for predicting the retention time (RT) of analytes, thereby accelerating method development and facilitating compound identification. In addition, QSRR can be used to study compound retention mechanisms and support drug screening efforts. This review provides a comprehensive analysis of QSRR workflows and applications, with a special focus on the role of artificial intelligence-an area not thoroughly explored in previous reviews. Moreover, we discuss current limitations in RT prediction and propose promising solutions. Overall, this review offers a fresh perspective on future QSRR research, encouraging the development of innovative strategies that enable the diverse applications of QSRR models in chromatographic analysis.

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.

Quantitative structure-retention relationship(QSRR)is an important tool in chromatography.QSRR examines the correlation between molecular structures and their retention behaviors during chro-matographic separation.This approach involves developing models for predicting the retention time(RT)of analytes,thereby accelerating method development and facilitating compound identification.In addition,QSRR can be used to study compound retention mechanisms and support drug screening ef-forts.This review provides a comprehensive analysis of QSRR workflows and applications,with a special focus on the role of artificial intelligence—an area not thoroughly explored in previous reviews.More-over,we discuss current limitations in RT prediction and propose promising solutions.Overall,this re-view offers a fresh perspective on future QSRR research,encouraging the development of innovative strategies that enable the diverse applications of QSRR models in chromatographic analysis.

In order to investigate the effect of SIRT2 on tight junctions and endoplasmic reticulum stress in liver tissues of cold-treated mice,10 each of 5-week-old male C57BL/6 mice and SIRT2 knockout mice were selected and randomly divided into the wild-type room-temperature control group(WT Control),the wild-type cold-treated group(WT Cold),the SIRT2 knockout+room-temperature control group(KO Control)and SIRT2 knockout+cold treatment group(KO Cold).Mice in the room-temperature control group were kept at a temperature of(24+2)℃,and the cold-treatment group was placed in a(4+2)℃ artificial climate chamber for 3 h of random stimu-lation per day for 3 weeks.H&E staining,Masson staining,and transmission electron microscopy were employed to examine the microscopic and ultrastructural changes in mouse liver;AST and ALT concentrations in mouse serum were detected by biochemical analyzers;Western blot analysis was used to detect the expressions of tight junction-related proteins(Claudin1,Occludin),endo-plasmic reticulum stress-related proteins(GRP78,CHOP,XBP1,p-eIF2α,eIF2α),and pro-inflam-matory cytokines(TNF-α,IL-1β,IL-6).The results showed that compared with WT Control,the liver lobular structure of WT Cold and KO Control mice was unclear,hepatic cord arrangement was disordered,cytoplasm was loose,white vacuoles appeared,a small amount of collagen deposi-tion and fibroplasia,mitochondria were slightly swollen in hepatocytes,and endoplasmic reticulum was unevenly distributed,while the serum concentrations of AST and ALT were increased(P＜0.050,P＜0.010),and the liver tissues showed decreased protein expression of Occludin and Clau-din1(P＜0.050,P＜0.010,P＜0.001),and increased protein expression of GRP78,CHOP,XBP1,p-eIF2α/eIF2α,TNF-α,IL-6,and IL-1β(P＜0.050,P＜0.010,P＜0.001);compared with the KO Control,KO Cold mice showed a large number of white vacuoles,a small number of balloon-like lesions,inflammatory cell infiltration,obvious collagen deposition and fibroplasia,mitochondrial swelling in hepatocytes,mitochondrial ridge reduction,endoplasmic reticulum thickening,and ser-um AST and ALT concentrations increased(P＜0.010),and in liver tissue,the protein expression of Occludin and Claudinl decreased(P＜0.010),while the protein expression of GRP78,CHOP,XBP1,p-eIF2α/eIF2α,TNF-α,IL-6 and IL-1β increased(P＜0.050,P＜0.010,P＜0.001).The re-sults showed that SIRT2 knockdown could aggravate the liver tissue tight junction damage caused by cold treatment,induce endoplasmic reticulum stress,and further promotes the inflammatory re-sponse.

In order to investigate the effect of SIRT2 on tight junctions and endoplasmic reticulum stress in liver tissues of cold-treated mice,10 each of 5-week-old male C57BL/6 mice and SIRT2 knockout mice were selected and randomly divided into the wild-type room-temperature control group(WT Control),the wild-type cold-treated group(WT Cold),the SIRT2 knockout+room-temperature control group(KO Control)and SIRT2 knockout+cold treatment group(KO Cold).Mice in the room-temperature control group were kept at a temperature of(24+2)℃,and the cold-treatment group was placed in a(4+2)℃ artificial climate chamber for 3 h of random stimu-lation per day for 3 weeks.H&E staining,Masson staining,and transmission electron microscopy were employed to examine the microscopic and ultrastructural changes in mouse liver;AST and ALT concentrations in mouse serum were detected by biochemical analyzers;Western blot analysis was used to detect the expressions of tight junction-related proteins(Claudin1,Occludin),endo-plasmic reticulum stress-related proteins(GRP78,CHOP,XBP1,p-eIF2α,eIF2α),and pro-inflam-matory cytokines(TNF-α,IL-1β,IL-6).The results showed that compared with WT Control,the liver lobular structure of WT Cold and KO Control mice was unclear,hepatic cord arrangement was disordered,cytoplasm was loose,white vacuoles appeared,a small amount of collagen deposi-tion and fibroplasia,mitochondria were slightly swollen in hepatocytes,and endoplasmic reticulum was unevenly distributed,while the serum concentrations of AST and ALT were increased(P＜0.050,P＜0.010),and the liver tissues showed decreased protein expression of Occludin and Clau-din1(P＜0.050,P＜0.010,P＜0.001),and increased protein expression of GRP78,CHOP,XBP1,p-eIF2α/eIF2α,TNF-α,IL-6,and IL-1β(P＜0.050,P＜0.010,P＜0.001);compared with the KO Control,KO Cold mice showed a large number of white vacuoles,a small number of balloon-like lesions,inflammatory cell infiltration,obvious collagen deposition and fibroplasia,mitochondrial swelling in hepatocytes,mitochondrial ridge reduction,endoplasmic reticulum thickening,and ser-um AST and ALT concentrations increased(P＜0.010),and in liver tissue,the protein expression of Occludin and Claudinl decreased(P＜0.010),while the protein expression of GRP78,CHOP,XBP1,p-eIF2α/eIF2α,TNF-α,IL-6 and IL-1β increased(P＜0.050,P＜0.010,P＜0.001).The re-sults showed that SIRT2 knockdown could aggravate the liver tissue tight junction damage caused by cold treatment,induce endoplasmic reticulum stress,and further promotes the inflammatory re-sponse.

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.

Objective To develop a deep learning method for volumetric assessment of traumatic intracerebral hemorrhage(TICH)using the Trans-UNet model and to compare its performance with traditional formula-based methods.Methods CT data from 141 TICH patients admitted to Army Medical Center of PLA between May 2018 and May 2023 were collected.A deep learning method based on the Trans-UNet model was established.Manual delineation via picture archiving and communication system(PACS)was served as the gold standard for comparing the accuracy,consistency,and time efficiency of our method against 10 different formula-based methods for measuring the amount of TICH.Results The median volume of TICH,as manual delineation via PACS,was 1.167 mL,with a median measurement time of 135 s per patient.The median percentage error in volume between the deep learning method and manual delineation via PACS was 3.59％.Spearman correlation coefficient was 0.999(P＜0.001),and a median measurement time was only 4.38 s per patient.In contrast,in the formula-based methods,the lowest median percentage error in volume was 16.451％,the highest Spearman correlation coefficient was 0.986(P＜0.001),and the lowest median measurement time was 20 s for a single patient.The statistical differences were observed in percentage error in volume and measurement time between the 2 types of methods(all P＜0.001).Conclusion Our developed deep learning method for volumetric assessment of TICH is superior to the formula-based methods in terms of measurement accuracy and time efficiency.

Objective:To evaluate the effect of Salvianolic acid B (Sal B) on the inflammatory responses of vascular smooth muscle cells (VSMCs) in septic mice and the role of circACTA2.Methods:In vivo experiment Eighty-one healthy male C57BL/6 mice, aged 6-8 weeks, were divided into 3 groups ( n=27 each) by a random number table method: sham operation group, sepsis group and Sal B group. Sepsis model was developed by cecal ligation and puncture. After sucessful preparation of the model, Sal B 7 mg/kg/d was intraperitoneally injected once a day for 2 consecutive days in Sal B group. Twenty mice in each group were randomly selected to measure systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and whole blood lactic acid (Lac) and to record the survival within 7 days after developing the model. Seven mice in each group were randomly selected at 48 h after developing the model, and the arterial vascular tissues were collected for determination of the expression of interleukin-1beta (IL-1β) (by immunofluorescence staining), expression of IL-1β, tumor necrosis factor-alpha (TNF-α) and IL-6 protein and mRNA (by Western blot and quantitative real-time polymerase chain reaction, respectively), and expression of circACTA2 (by quantitative real-time polymerase chain reaction). Cell experiment Mouse VSMCs were cultured and divided into 6 groups ( n=3 each) by a random number table method: control group (C group), lipopolysaccharide (LPS) group, Sal B group, si-circACTA2+ C group, si-circACTA2+ LPS group, and si-circACTA2+ Sal B group. The cells were incubated for 24 h with LPS (final concentration 1 μg/ml) in LPS group and with LPS (final concentration 1 μg/ml) and Sal B (final concentration 5 μmol/L) in Sal B group. VSMCs were transfected with si-circACTA2 only in si-circACTA2+ C group. At 24 h after transfection of si-circACTA2 into VSMCs, the cells were incubated with LPS (final concentration 1 μg/ml) in si-circACTA2+ LPS group and with LPS (final concentration 1 μg/ml) and Sal B (final concentration 5 μmol/L) for 24 h in si-circACTA2+ Sal B group. The expression of IL-1β, TNF-α and IL-6 protein and mRNA was detected using Western blot and quantitative real-time polymerase chain reaction, and the expression of circACTA2 was determined by the quantitative real-time polymerase chain reaction. Results:In vivo experiment Compared with sham operation group, SBP, DBP and MAP were significantly decreased, the concentrations of whole blood Lac were increased, 7-day survival rate was decreased, the expression of IL-1β, TNF-α and IL-6 protein and mRNA in arterial vascular tissues was up-regulated, circACTA2 expression was down-regulated ( P<0.05), and the fluorescence of IL-1β was enhanced in sepsis group. Compared with sepsis group, SBP, DBP and MAP were significantly increased, whole blood Lac concentrations were decreased, 7-day survival rate was increased, the expression of IL-1β, TNF-α and IL-6 protein and mRNA in arterial vascular tissues was down-regulated, the expression of circACTA2 was up-regulated ( P<0.05), and the fluorescence of IL-1β was weakened in Sal B group. Cell experiment Compared with group C, the expression of IL-1β, TNF-α and IL-6 protein and mRNA was significantly up-regulated, and the expression of circACTA2 was down-regulated in LPS group ( P<0.05). Compared with LPS group, the expression of IL-1β, TNF-α and IL-6 protein and mRNA was significantly down-regulated, and the expression of circACTA2 was up-regulated in Sal B group ( P<0.05). Compared with si-circACTA2+ C group, the expression of IL-1β, TNF-α and IL-6 protein and mRNA was significantly up-regulated in si-circACTA2+ LPS group ( P<0.05). There were no significant differences in the expression of IL-1β, TNF-α and IL-6 protein and mRNA between si-circACTA2+ LPS group and si-circACTA2+ Sal B group ( P>0.05). Conclusions:Sal B can reduce the inflammatory responses of VSMCs, and the mechanism may be related to promoting the expression of circACTA2 in septic mice.

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.