Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network properties among patients with mild cognitive impairment (MCI) exhibiting different cognitive outcomes and normal controls (NCs), and to further evaluate the predictive value of these imaging indicators for cognitive deterioration in MCI patients.Methods:A total of 43 NCs, 65 stable MCI (sMCI), and 26 progressive MCI (pMCI) patients enrolled in the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database between December 2012 and May 2016 were included in this study. Baseline demographic information and T 1-weighted magnetic resonance imaging scans were collected. Hippocampal subfield volumes were extracted using freesurfer software, and structural covariance networks of hippocampal subfields were constructed. Multivariate analysis of covariance was used to compare hippocampal subfield volumes among the 3 groups. A general linear model was applied to examine group differences in hippocampal subfield structural covariance network properties. Least absolute shrinkage and selection operator (LASSO)-Logistic regression was employed to identify imaging predictors associated with conversion to Alzheimer′s disease (AD), based on which structural, network-based, and combined predictive models were constructed. Model discrimination was evaluated using the area under the curve (AUC); internal validation was performed using Bootstrap resampling; model calibration was assessed with the Hosmer-Lemeshow test; and clinical utility was evaluated through decision curve analysis. Results:Significant differences in hippocampal subfield volumes (mm3) were observed among the 3 groups (all P<0.05, Bonferroni-corrected). Specifically, left parasubiculum (65.58±13.30, 61.96±17.56, 49.56±11.82, F=9.900), right parasubiculum (65.92±15.21, 59.45±16.65, 47.69±15.48, F=11.612), left presubiculum (277.09±39.85, 258.15±44.86, 224.05±45.05, F=14.513), right presubiculum (262.85±40.43, 247.41±43.27, 209.97±46.11, F=14.500), left subiculum (399.66±32.19, 374.25±55.83, 306.12±51.62, F=32.923), right subiculum (417.93±48.92, 376.59±51.01, 316.82±70.22, F=28.764), left cornu ammonis 1 (CA1) (592.10±83.87, 561.96±94.72, 490.06±86.89, F=13.352), right CA1 (632.15±100.09, 601.24±88.88, 531.05±110.29, F=10.579), left CA3 (191.58±30.08, 180.47±34.66, 155.08±37.82, F=12.182), right CA3 (210.42±28.92, 203.84±34.80, 176.69±41.47, F=9.597), left CA4 (224.61±28.94, 210.49±35.04, 183.98±36.89, F=16.521), right CA4 (238.49±28.14, 227.43±30.65, 200.23±42.74, F=13.702), left granule cell-molecular layer-dentate gyrus (GC-ML-DG) (259.96±36.76, 239.42±41.17, 207.61±41.84, F=19.831), right GC-ML-DG (273.98±35.12, 258.79±36.82, 227.81±49.07, F=14.204), left molecular layer (505.62±66.16, 468.58±75.17, 402.68±75.47, F=22.293), right molecular layer (527.39±72.39, 493.14±70.39, 423.81±88.09, F=19.588), left hippocampal amygdala transition area (HATA) (54.91±9.99, 49.52±9.93, 43.27±9.59, F=13.571), right HATA (58.43±9.83, 54.55±10.80, 47.12±12.54, F=10.037), left fimbria (69.94±25.04, 56.63±23.74, 40.58±19.83, F=14.846), right fimbria (68.61±26.24, 53.95±23.16, 45.25±17.04, F=10.424), left hippocampal tail (488.37±83.44, 463.54±80.33, 393.83±77.73, F=13.570), and right hippocampal tail (519.78±80.22, 498.84±81.68, 419.75±93.29, F=14.339) all showed significant group differences. Significant group differences were also observed in small-worldness metric γ (0.51±0.10, 0.51±0.08, 0.62±0.14, F=9.317), small-worldness metric λ (0.39±0.02, 0.39±0.02, 0.43±0.04, F=9.925), global efficiency (0.19±0.01, 0.20±0.01, 0.18±0.01, F=3.189), local efficiency (0.26±0.02, 0.26±0.01, 0.27±0.01, F=3.068), clustering coefficient (0.23±0.01, 0.23±0.01, 0.24±0.02, F=4.274), and characteristic path length (0.73±0.06, 0.72±0.06, 0.76±0.07, F=4.477) of the hippocampal subfield structural covariance network (all P<0.05). Specifically, the pMCI group exhibited higher γ ( t=3.773, P<0.001), λ ( t=4.060, P<0.001), local efficiency ( t=2.445, P=0.047), and clustering coefficient ( t=2.849, P=0.015) than the NCs group, and higher γ ( t=4.074, P<0.001), λ ( t=4.068, P<0.001), and characteristic path length ( t=2.986, P=0.010) but lower global efficiency ( t=-2.444, P=0.047) than the sMCI group. The AUC of the structural, network, and combined models based on LASSO-Logistic regression was 0.837, 0.861, and 0.899, respectively. After internal validation, the corrected AUC was 0.835, 0.855, and 0.889, respectively. All models demonstrated good calibration ( P>0.05), and decision curve analysis indicated favorable clinical net benefit across models. Conclusions:Both sMCI and pMCI patients exhibit widespread hippocampal subfield atrophy and altered global properties of hippocampal subfield structural covariance networks compared to NCs. The models constructed based on hippocampal subfield volumes and structural covariance networks show strong potential for predicting cognitive decline in MCI patients.

Objective:To investigate the alterations of individual metabolic brain network properties in patients with mild cognitive impairment (MCI) and their correlations with cognitive function.Methods:One hundred and five participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) database enrolled from March 2012 to February 2016 were chosen, including 61 MCI patients and 44 normal controls (NC). Cognitive assessments, including mini-mental state examination (MMSE), auditory verbal learning test (AVLT), trail making test (TMT), and semantic verbal fluency (SVF) score, were performed in both groups; differences of above scores and clinical data between the participants from the two groups were compared. T1-weighted imaging and fluorodeoxyglucose positron emission tomography (FDG-PET) images were collected in both groups; individual metabolic brain networks were constructed based on differences in effect sizes between brain regions and network properties were calculated. Spatial correlation analysis was used to compare the correlations of metabolic brain networks at the individual and group levels. General linear model was employed to compare the differences in network properties between the two groups. Partial correlation analysis was used to examine the correlations of differential network properties with cognitive function in MCI patients. A support vector machine (SVM) classification model was constructed based on individual metabolic brain network properties, and receiver operating characteristic (ROC) curve was used to explore the diagnostic value of this SVM classification model in MCI.Results:(1) Compared with the NC group, the MCI group had significantly lower MMSE and AVLT-immediate recall scores, and longer TMT-A completion time ( P<0.05). (2) Spatial correlation analysis revealed a positive correlation between individual metabolic brain networks and group-level metabolic brain networks in patients of the MCI group ( r=0.825, P<0.001). No significant differences in global network properties were noted between the two groups ( P>0.05). Compared with the NC group, the MCI group significantly decreased degree centrality in the left A8vl, right A39c, and right V5/MT+ regions, increased degree centrality in the left anterior cuneus, decreased nodal efficiency in the left A8vl, right V5/MT+, and right caudal hippocampus regions, increased nodal shortest path length and nodal clustering coefficient in the left A8vl region ( P<0.05). (3) The degree centrality at the A8vl of ventral part of the left middle frontal gyrus and nodal efficiency in right caudal hippocampus region were positively correlated with AVLT-immediate recall scores ( r=0.331, P=0.010; r=0.282, P=0.030), nodal efficiency in the left A8vl region was negatively correlated with TMT-A completion time ( r=-0.470, P<0.001), and nodal efficiency in the left A8vl region was positively correlated with SVF score ( r=0.263, P=0.044). (4) Area under the curve of SVM classification model in diagnosing MCI was 0.880 (95% CI: 0.813-0.945, P<0.001), with an accuracy rate of 0.790. Conclusions:Patients with MCI have alterations in individual metabolic brain network properties, among which the degree centrality and nodal efficiency of some nodes are closely related to cognitive function changes. Models constructed based on individual metabolic brain network properties can help to effectively diagnose MCI.

Objective To investigate the risk factors and intervention measures for surgical site infec-tion following posterolateral approach lumbar fusion surgery.Methods A total of 1 078 patients who under-went posterolateral approach lumbar fusion surgery in the department of spine surgery from January 1,2022 to December 31,2023 were included.Patient related information was collected through the real-time nosocomi-al infection monitoring system,while medical visit information was obtained via the outpatient electronic med-ical record system.Multivariate logistic regression analysis was performed to identify risk factors for surgical site infection.Results Among the 1 078 patients,34 cases(3.15%)developed surgical site infections,while 1 044 cases did not.Multivariate logistic regression analysis revealed that age,smoking,hypertension,diabetes,concurrent hospital stay,operative time,duration of postoperative antimicrobial use after initial surgery,and total antimicrobial use duration were significant risk factors for surgical site infection(P＜0.05).Among the 34 infected patients,the duration of antimicrobial use varied significantly across different infection sites(P＜0.05),with the longest duration observed in patients with deep space infections.Conclusion Targeted surveil-lance of surgical site infections should be reinforced based on these risk factors.Perioperative infection control measures must be strictly implemented to improve the scientific,precise,and standardized management of sur-gical-related nosocomial infections.

Objective To study the effect of the transbrachial artery approach on the success rate of puncture,revascularization time,and postprocedural complications in patients with acute ST-segment elevation myocardial infarction(STEMI)treated by percutaneous coronary intervention(PCI).Methods The clinical data of 324 patients with STEMI who underwent PCI between September 2020 and May 2024 at our hospital were retrospectively analyzed.According to the different approaches,the patients were divided into a brachial artery group(127 cases)and a radial artery group(197 cases).Their procedural parameters(X-ray exposure time,contrast agent dosage,puncture time,puncture success rate,and revascularization time)and hospital length-of-stay,cardiac function indicators,including left ventricular ejection fraction(LVEF),left ventricular fractional shortening(LVFS),left ventricular end-systolic volume index(LVESVI),and left ventricular end-diastolic volume index(LVEDVI),before surgery and 3 months after PCI,and the incidence of complications were compared between the two groups of patients.Furthermore,a difference-in-differences method was adopted for the logistic model to evaluate the effects of different approaches.Results There were no statistical differences in the general data between the brachial artery group and the radial artery group.Compared with those of the radial artery group,the revascularization time and length-of-stay of the brachial artery group were shortened,and the success rate of puncture was increased(P<0.05).There were no significant differences in X-ray exposure time or contrast agent dosage between the two groups.The changes in LVEF,LVFS,LVESVI,and LVEDVI from baseline to 3 months post-PCI were(10.97±7.15)%,(3.29±5.90)%,(22.11±9.30)mL/m2,and(18.13±6.68)mL/m2,respectively,in the brachial artery group,while those in the radial artery group were(10.61±7.13)%,(4.38±6.04)%,(23.13±9.60)mL/m2,and(19.34±7.27)mL/m2,respectively,without statistical differences.Difference-in-differences analysis revealed that there were no statistical differences in the effects of different approaches on LVEF,LVFS,LVESVI,and LVEDVI between the brachial artery group and the radial artery group.During follow-up,no complications,such as coronary perforation,coronary dissection,or stent thrombosis,were observed in either group,and there were no statistical differences in the complication incidence between the two groups.Conclusion The transbrachial artery approach can shorten the revascularization time and length-of-stay of patients with STEMI treated by PCI.It has a high success rate of puncture and can promote the recovery of postoperative cardiac function without increasing postoperative complications.

Objective To explore the serum placental growth factor (PlGF) and triggering receptors expressed on myeloid cell-1 (TREM1)levels in patients with diabetes foot,and the correlation between them and clinical grading and prognosis of patients. Methods From January 2021 to January 2023,97 patients with diabetes foot who were admitted to Affiliated Hospital of Guilin Medical University were collected as the study object (diabetes foot group),and 102 healthy people who were examined in the hospital were collected as the healthy control group. The patients with diabetic foot were categorized into 33 cases of grade 0～1,39 cases of grade 2～3,and 25 cases of grade 4～5 according to Wanger grading criteria. Patients with diabetes foot were followed up for 6 months and divided into good prognosis group (n=72) and poor prognosis group (n=25).Serum PlGF and TREM1 levels were compared between groups. Spearman correlation analysis was applied to explore the correlation between serum PlGF and TREM1 levels and clinical grading in patients,factors influencing the prognosis of patients with diabetic foot was analyzed by Logistic regression . Receiver operating characteristic (ROC) curve was applied to investigate the predictive effect of serum PlGF and TREM1 on the prognosis of patients with diabetes foot. Results The expression level of serum PlGF in the diabetes foot group was lower than that in the healthy control group (53.86±15.13 pg/ml vs 87.57±18.28 pg/ml),and the level of TREM1 was significantly higher than that in the healthy control group (279.56±32.25 ng/L vs 195.37±26.28 ng/L),and the difference was statistically significance (t=14.133,20.232,all P<0.05).Serum PlGF expression (39.41±13.28 pg/ml vs 66.13±16.30 pg/ml,52.75±15.32 pg/ml) was lower in patients with clinical grades 4～5 than in patients with grades 0～1 and 2～3. TREM1 expression (326.66±35.75 ng/L vs 248.21±29.83 ng/L,275.89±32.06 ng/L) was higher than in patients with grades 0～1 and 2～3. Serum PlGF expression was lower in patients with clinical grades 2～3 than in patients with grades 0～1. TREM1 expression was higher than in patients with grades 0～1,and the differences were statistically significant (q=5.120～12.945,all P<0.05).Spearman correlation analysis,the serum PlGF expression level in diabetes foot patients was negatively correlated with their clinical grading (r=-0.696,P<0.001) and the TREM1 expression level was positively correlated with their clinical grading (r=0.657,P<0.001).Multivariate Logistic regression anaalysis,PlGF was an independent protective factor[OR(95％CI):0.725(0.531～0.990)]and TREM1 was an independent risk factor[OR(95％CI):2.308(1.284～4.147)]affecting the prognosis of diabetic foot patients.The AUC(95％CI) of PlGF,TREM1 levels and their combination to predict the prognosis of diabetes foot patients was 0.898(0.820～0.950),0.817(0.725～0.888)and 0.949 (0.885～0.984),respectively. The clinical efficacy of the combination of the two in predicting the poor prognosis of patients with diabetes foot was better than that of serum PlGF and TREM1 alone (Z=2.150,2.713,P=0.032,0.007). Conclusion The expression of PlGF in serum of patients with diabetes foot is significantly reduced,and the expression of TREM1 is significantly increased. Both of them are closely related to the clinical grading of patients,and they have good clinical efficacy in predicting prognosis.

Objective To explore the value of analysis on the incidence of healthcare-associated infection(HAI)based on disease diagnosis-related grouping(DRG),case mix index(CMI),and relative weight(RW).Methods All discharged cases,DRG and HAI status in a tertiary first-class general hospital from January 1 to December 31,2023 were analyzed retrospectively.Incidences of HAI in different departments were adjusted and compared by CMI.Incidences of HAI in different DRG groups were adjusted by RW.Results Among the 47 695 cases included in the analysis,757 were HAI cases,including 225 DRG groups.The department of critical care medicine had the highest incidence of HAI(11.98％).After CMI adjustment,departments with higher incidence of HAI were main-ly the department of respiratory and critical care medicine(3.96％),department of critical care medicine(3.04％),and department of neurology(2.85％),et al.DRG groups with the top five high incidence of HAI were AH11(tracheotomy and with ventilator support ≥96 hours or extracorporeal membrane oxygenation[ECMO],accompa-nied by major complications and comorbidity[MCC],50.00％),BC29(ventricular shunt and revision surgery,31.43％),BB21(craniotomy other than trauma,accompanied by MCC,27.56％),BB11(craniotomy of brain trauma,accompanied by MCC,26.32％),and GB1A(major surgery of esophagus,stomach,and duodenum,accompanied by major or moderate complications and comorbidity,16.00％).After RW adjustment,the DRG groups with the top five high incidence of HAI were ES21(respiratory system infection/inflammation,accompanied by MCC,5.89％),BR21(cerebral ischemic disease,accompanied by MCC,5.17％),FR11(heart failure,shock,accompanied by MCC,4.80％),BC29(4.57％)and AH11(3.57％).Conclusion Analyzing the incidence of HAI based on CMI and RW can help to identify key departments and disease groups for infection prevention and control,and provide reference for precise prevention and control of HAI in the new era.

Objective:To explore associated factors of post-discharge depressive symptom severity in patients with bipolar disorder.Methods:A longitudinal follow-up was conducted to investigate the demographic,behavioral,and clinical characteristics,and social function among discharged patients with bipolar disorder who met the DSM-5 diagnostic criteria.Clinical characteristics were assessed with the Hamilton Depression Scale(HAMD)and Brief Psychiatric Rating Scale(BPRS).Single factor and multivariate regression were carried out to explore the associat-ed factors of depressive symptom severity in patients with bipolar disorder.Results:A total of 298 discharged pa-tients with bipolar disorder were face-to-face interviewed to complete the follow-up survey.At follow-up time,psy-chotic symptoms(standardized(β)=0.18),housework((β)=0.23),social interaction((β)=0.17)and BPRS total score((β)=0.46)were positively associated with HAMD total score.Productive labor and work((β)=-0.27)and person-al life management((β)=-0.15)were negatively associated with HAMD total scores.Conclusion:Post-discharge depressive symptom severity in bipolar disorder patients is influenced by multiple factors.Effective management of psychotic symptoms,combined with enhanced community-based social rehabilitation and functional recovery,may help reduce the persistence or worsening of depressive symptoms and improve prognosis.

Objective To explore the value of analysis on the incidence of healthcare-associated infection(HAI)based on disease diagnosis-related grouping(DRG),case mix index(CMI),and relative weight(RW).Methods All discharged cases,DRG and HAI status in a tertiary first-class general hospital from January 1 to December 31,2023 were analyzed retrospectively.Incidences of HAI in different departments were adjusted and compared by CMI.Incidences of HAI in different DRG groups were adjusted by RW.Results Among the 47 695 cases included in the analysis,757 were HAI cases,including 225 DRG groups.The department of critical care medicine had the highest incidence of HAI(11.98％).After CMI adjustment,departments with higher incidence of HAI were main-ly the department of respiratory and critical care medicine(3.96％),department of critical care medicine(3.04％),and department of neurology(2.85％),et al.DRG groups with the top five high incidence of HAI were AH11(tracheotomy and with ventilator support ≥96 hours or extracorporeal membrane oxygenation[ECMO],accompa-nied by major complications and comorbidity[MCC],50.00％),BC29(ventricular shunt and revision surgery,31.43％),BB21(craniotomy other than trauma,accompanied by MCC,27.56％),BB11(craniotomy of brain trauma,accompanied by MCC,26.32％),and GB1A(major surgery of esophagus,stomach,and duodenum,accompanied by major or moderate complications and comorbidity,16.00％).After RW adjustment,the DRG groups with the top five high incidence of HAI were ES21(respiratory system infection/inflammation,accompanied by MCC,5.89％),BR21(cerebral ischemic disease,accompanied by MCC,5.17％),FR11(heart failure,shock,accompanied by MCC,4.80％),BC29(4.57％)and AH11(3.57％).Conclusion Analyzing the incidence of HAI based on CMI and RW can help to identify key departments and disease groups for infection prevention and control,and provide reference for precise prevention and control of HAI in the new era.

Objective:To explore associated factors of post-discharge depressive symptom severity in patients with bipolar disorder.Methods:A longitudinal follow-up was conducted to investigate the demographic,behavioral,and clinical characteristics,and social function among discharged patients with bipolar disorder who met the DSM-5 diagnostic criteria.Clinical characteristics were assessed with the Hamilton Depression Scale(HAMD)and Brief Psychiatric Rating Scale(BPRS).Single factor and multivariate regression were carried out to explore the associat-ed factors of depressive symptom severity in patients with bipolar disorder.Results:A total of 298 discharged pa-tients with bipolar disorder were face-to-face interviewed to complete the follow-up survey.At follow-up time,psy-chotic symptoms(standardized(β)=0.18),housework((β)=0.23),social interaction((β)=0.17)and BPRS total score((β)=0.46)were positively associated with HAMD total score.Productive labor and work((β)=-0.27)and person-al life management((β)=-0.15)were negatively associated with HAMD total scores.Conclusion:Post-discharge depressive symptom severity in bipolar disorder patients is influenced by multiple factors.Effective management of psychotic symptoms,combined with enhanced community-based social rehabilitation and functional recovery,may help reduce the persistence or worsening of depressive symptoms and improve prognosis.

Objective To explore the serum placental growth factor (PlGF) and triggering receptors expressed on myeloid cell-1 (TREM1)levels in patients with diabetes foot,and the correlation between them and clinical grading and prognosis of patients. Methods From January 2021 to January 2023,97 patients with diabetes foot who were admitted to Affiliated Hospital of Guilin Medical University were collected as the study object (diabetes foot group),and 102 healthy people who were examined in the hospital were collected as the healthy control group. The patients with diabetic foot were categorized into 33 cases of grade 0～1,39 cases of grade 2～3,and 25 cases of grade 4～5 according to Wanger grading criteria. Patients with diabetes foot were followed up for 6 months and divided into good prognosis group (n=72) and poor prognosis group (n=25).Serum PlGF and TREM1 levels were compared between groups. Spearman correlation analysis was applied to explore the correlation between serum PlGF and TREM1 levels and clinical grading in patients,factors influencing the prognosis of patients with diabetic foot was analyzed by Logistic regression . Receiver operating characteristic (ROC) curve was applied to investigate the predictive effect of serum PlGF and TREM1 on the prognosis of patients with diabetes foot. Results The expression level of serum PlGF in the diabetes foot group was lower than that in the healthy control group (53.86±15.13 pg/ml vs 87.57±18.28 pg/ml),and the level of TREM1 was significantly higher than that in the healthy control group (279.56±32.25 ng/L vs 195.37±26.28 ng/L),and the difference was statistically significance (t=14.133,20.232,all P<0.05).Serum PlGF expression (39.41±13.28 pg/ml vs 66.13±16.30 pg/ml,52.75±15.32 pg/ml) was lower in patients with clinical grades 4～5 than in patients with grades 0～1 and 2～3. TREM1 expression (326.66±35.75 ng/L vs 248.21±29.83 ng/L,275.89±32.06 ng/L) was higher than in patients with grades 0～1 and 2～3. Serum PlGF expression was lower in patients with clinical grades 2～3 than in patients with grades 0～1. TREM1 expression was higher than in patients with grades 0～1,and the differences were statistically significant (q=5.120～12.945,all P<0.05).Spearman correlation analysis,the serum PlGF expression level in diabetes foot patients was negatively correlated with their clinical grading (r=-0.696,P<0.001) and the TREM1 expression level was positively correlated with their clinical grading (r=0.657,P<0.001).Multivariate Logistic regression anaalysis,PlGF was an independent protective factor[OR(95％CI):0.725(0.531～0.990)]and TREM1 was an independent risk factor[OR(95％CI):2.308(1.284～4.147)]affecting the prognosis of diabetic foot patients.The AUC(95％CI) of PlGF,TREM1 levels and their combination to predict the prognosis of diabetes foot patients was 0.898(0.820～0.950),0.817(0.725～0.888)and 0.949 (0.885～0.984),respectively. The clinical efficacy of the combination of the two in predicting the poor prognosis of patients with diabetes foot was better than that of serum PlGF and TREM1 alone (Z=2.150,2.713,P=0.032,0.007). Conclusion The expression of PlGF in serum of patients with diabetes foot is significantly reduced,and the expression of TREM1 is significantly increased. Both of them are closely related to the clinical grading of patients,and they have good clinical efficacy in predicting prognosis.