ObjectiveTo investigate the intervention effects of modified Linggui Zhugan Tang （LGZGT） on patients with obstructive sleep apnea-hypopnea syndrome （OSAHS） of the spleen deficiency and dampness obstruction with blood stasis type， reveal its possible mechanisms， and provide a theoretical basis for the clinical treatment of OSAHS with traditional Chinese medicine （TCM）. MethodsEighty OSAHS patients with spleen deficiency and dampness obstruction with blood stasis were randomly assigned to a control group and an observation group （1∶1） using a random number table， with 40 patients in each group. The control group received standard basic treatment combined with oral Doxofylline tablets， while the observation group received standard basic treatment combined with modified LGZGT. Serum levels of macrophage migration inhibitory factor （MIF）， microRNA-223 （miR-223）， and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of MIF， miR-223， and IL-18 were measured by real-time quantitative polymerase chain reaction （Real-time PCR）. After two months of treatment， the total clinical efficacy， apnea-hypopnea index （AHI）， lowest nocturnal oxygen saturation （LSpO₂）， body mass index （BMI）， TCM syndrome scores， and expression levels of MIF， miR-223， and IL-18 before and after treatment were compared between the two groups. Correlations between MIF， miR-223， IL-18 and AHI and LSpO₂ were also analyzed. ResultsCompared with the control group， the observation group showed a significantly higher total clinical effective rate （P<0.01， Z=-3.49）. Within the control group， no significant changes were observed in AHI， LSpO₂， BMI， TCM syndrome scores， or MIF， miR-223， IL-18 levels and their mRNAs after treatment. In the observation group， AHI， BMI， TCM syndrome scores， and MIF and IL-18 levels and their mRNAs decreased significantly， while LSpO₂ increased significantly （P<0.01）. After treatment， compared with the control group， the observation group exhibited significantly lower AHI， BMI， TCM syndrome scores， and MIF and IL-18 levels and their mRNAs， and significantly higher LSpO₂ （P<0.01）. Correlation analysis showed that MIF and IL-18 were positively correlated with AHI （P<0.01） and negatively correlated with LSpO₂ （P<0.01）， whereas miR-223 was negatively correlated with AHI （P<0.01） and positively correlated with LSpO₂ （P<0.01）. ConclusionModified LGZGT may improve OSAHS of the spleen deficiency and dampness obstruction with blood stasis type by reducing airway inflammatory factors， alleviating airway inflammation， relieving airway edema and stenosis， and improving airway obstruction.

The incidence of age-related macular degeneration(AMD)is rising with the intensifying aging trend,be-coming a critical challenge that demands urgent solutions.Dry AMD(dAMD)accounts for approximately 80％of all AMD cases,and there is currently a lack of highly effective treatment options.In recent years,traditional Chinese medicine(TCM)has been proven to effectively treat dAMD through actions such as antioxidation,anti-apoptosis,anti-inflammation,and lipid-lowering.By reviewing domestic and international literature,this article discusses TCM monomers,extracts,and compound formulations for dAMD,analyzing their various mechanisms.Based on traditional TCM efficacy theories and in-tegrated with modern mechanisms of action,it targets the active components of TCM to elucidate the connection between effective medicinal targets of TCM and dAMD,thereby clarifying the efficacy and scientific basis of TCM monomers,com-pounds,and extracts in treating dAMD.The aim is to provide new perspectives for the prevention and clinical treatment of dAMD.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To explore the value of paediatric age-adjusted shock index（SIPA）in early identification of septic shock in children，and to evaluate the relationship between SIPA and disease severity and prognosis.Methods:The infected children admitted to the department of critical care medicine of the Children's Hospital Affiliated to Capital Institute of Pediatrics from May 2023 to July 2024 were collected. Dynamic assessment was performed 0 to 6 hours after admission. Patients diagnosed with sepsis without septic shock were classified as the sepsis group and those diagnosed with sepsis with septic shock were classified as the septic shock group. According to whether the blood pressure of the children decreased，they were divided into two groups：compensated septic shock group and decompensated septic shock group. The difference of SIPA among the three groups was analyzed，and the predictive value of SIPA on case fatality rate，lactate level，pediatric critical illness score，ventilator utilization rate and length of hospital stay were analyzed.Results:Among 203 children with sepsis，112 were males and 91 were females. There were 146 cases in the sepsis group，37 cases in the compensated septic shock group and 20 cases in the decompensated septic shock group. There was no significant difference between the three groups in gender（ P>0.05），but there was a statistically significant difference in age（ χ 2=32.905， P<0.001）. There was no significant difference in age between the sepsis group and the compensated septic shock group（ P>0.05）. The age of sepsis group and decompensated septic shock group，compensated septic shock group and decompensated septic shock group were statistically significant（ χ 2=29.431， P<0.001； χ 2=19.764， P=0.001）. The proportion of increased SIPA was statistically different among the three groups，with both the compensated septic shock group and the decompensated septic shock group being higher than the sepsis group（ χ2=20.383， P<0.001； χ2=33.600， P<0.001）. The decompensated septic shock group was higher than the compensated septic shock group（ χ2=6.555， P=0.01）. SIPA was correlated with case fatality rate，lactate level，pediatric critical illness score，ventilator use rate and length of stay of the children，with statistically significant differences（ P<0.05）. Conclusion:The increase of SIPA can be used for the early identification of septic shock in children，and it has a certain early warning value for the prognosis assessment of sepsis and septic shock.

Objectives:This study aimed to investigate the impact of quantitative flow ratio(QFR)-guided revascularization on outcome of elderly patients with coronary artery disease(CAD)undergoing valve surgery.Methods:We retrospectively analyzed 750 consecutive patients with angiographically confirmed CAD(≥50%stenosis)who underwent valve surgery at Zhongshan Hospital,Fudan University,between January 2016 and December 2021.According to the patients'ages,they were divided into the younger group(age<70 years old,n=532)and the elderly group(age≥70 years old,n=218).Revascularization strategies were evaluated using anatomical(angiography-based)and functional(QFR-based)criteria.Anatomical complete revascularization(CR)was defined as bypass grafting for all lesions with≥70%diameter stenosis in major coronary arteries or≥50%stenosis in the left main coronary artery.Functional CR referred bypass grafting for all lesions with QFR≤0.80.Incomplete revascularization(ICR)was defined as failure to meet CR criteria.According to the anatomical and functional definitions,the younger group and the elderly group were further divided into the incomplete revascularization subgroup and the complete revascularization subgroup respectively.Major adverse cardiovascular events(MACE),including death,myocardial infarction,repeat revascularization,and stroke,were assessed as the composite endpoint.Results:Over a follow-up of(3.7±1.8)years,the overall MACE rate was 13.3%.The younger group exhibited significantly lower MACE rates than the elderly group(10.7%vs.19.7%,P=0.001).In the younger group,anatomical ICR did not increase MACE risk(HR=1.46,95%CI:0.81-2.62,P=0.164),whereas functional ICR significantly increased MACE risk(HR=2.27,95%CI:1.24-4.15,P=0.001).In the elderly group,neither anatomical ICR(HR=1.22,95%CI:0.62-2.41,P=0.540)nor functional ICR(HR=1.52,95%CI:0.78-2.96,P=0.172)was associated with increased MACE risk.Conclusions:In patients undergoing valve surgery with CAD,functional ICR correlated with adverse outcomes in the younger group,whereas neither anatomical nor functional ICR significantly affected prognosis in elderly patients.These findings suggest that a moderately conservative revascularization strategy may be more appropriate for elderly populations.

OBJECTIVE To analyze the status of targeted monitoring of the health care-associated infections in in-tensive care unit(ICU)of a three-A hospital of northwest China in recent 7 years so as to provide bases for formu-lating effective prevention and control measures for the health care-associated infections.METHODS The related data were successively collected from the ICU hospitalized patients of the Second Affiliated Hospital of Air Force Medical University who were under the targeted monitoring by nosocomial infection real-time monitoring system from Jan.2017 to Dec.2023.The data included the incidence of infections,infection sites,use of catheters,inci-dence of catheter-related infections,and distribution and prevalence trend of pathogens.RESULTS A total of 49,137 hospitalized patients from five ICU wards of respiratory medicine department,neurosurgery department,neurology department,thoracic surgery department and critical care medicine department were under the monito-ring,1446(1681 case-times)of whom had health care-associated infections,with the infection rate 2.94％,the case-time infection rate 3.42％.The respiratory system was the major infection site of the patients with the health care-associated infections.Among the patients with instrument-associated infections,20.70％had ventilator-asso-ciated pneumonia(VAP),5.71％had urinary catheter-associated urinary tract infection(CAUTI),and 1.96％had catheter-related bloodstream infection(CRBSI).Totally 405 strains of non-repetitive pathogens were isolated from 477 patients with instruments-associated infections,78.77％of which were gram-negative bacteria.The iso-lation rate of multidrug-resistant organisms(MDROs)was 44.12％,and Acinetobacter baumannii was the pre-dominant species of pathogen isolated from the patients with VAP.CONCLUSIONS The targeted monitoring of health care-associated infections may facilitate the awareness of dynamic changes of the infections in a accurate and timely manner so as to provide bases for developing effective prevention and control measures for the health care-associated infection.It is necessary to strengthen the prevention and control of the infections in critical care medi-cine department,neurosurgery department as well as the lower respiratory tract infections and prevent the MDROs infection in the meantime.

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.

Objectives:We evaluated the clinical significance of unipolar electrogram and bipolar electrogram in guiding radiofrequency ablation for outflow tract ventricular premature contractions(PVC).Methods:Data were collected from 78 patients who underwent successful radiofrequency ablation of PVC.Pre-procedure electrocardiogram showed a LBBB morphology on inferior leads.In the included patients,the right-side ablation was performed at first,and if the ablation failed,the left-side ablation was then performed.According to the location of the successful ablation target,they were divided into unilateral ablation successful group and bilateral ablation successful group.The differences in the earliest bipolar local activation to QRS(LATBi),unipolar-dV/dTmax to QRS(LATUni),and local activation time were compared between the two groups.Furthermore,the electrogram characteristics predicting bilateral ablation were explored.Results:Patients were divided into unilateral ablation group(n=57)and bilateral ablation group(n=21)according to the ablation site.There were statistically significant differences in LATBi(25[21,30]ms vs.14[10,24]ms),LATUni(7[0,17]ms vs.-23[-41,-11]ms),and ΔLATBi-Uni(15[11,25]ms vs.44[25,56]ms)between the unilateral ablation group and the bilateral ablation group(all P<0.05).Multivariate regression analysis suggested that LATBi,LATUni,and ΔLATBi-Uni were independent predictors of the need for bilateral ablation.There was no significant difference between left and right LATBi,LATUni and ΔLATBi-Uni in the bilateral ablation group.LATUni≤-1 was the most accurate parameter for predicting the need for bilateral ablation(AUC=0.941;specificity 80.7%;sensitivity 100%).Conclusions:LATUni≤-1ms is a useful indicator for predicting the need for bilateral PVC ablation in this patient cohort.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

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.