Objective:To report the surveillance results of the distribution and antimicrobial resistance profile of clinical isolates in Anhui province.Methods:Surveillance data from 94 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）from October 2023 to September 2024 were collected，the major drug-resistant bacteria and the resistance to commonly used antibiotics were analyzed. WHONET 5.6 and SPSS 25.0 software were used for data analysis.Results:Among 240 339 clinical strains，Gram-negative bacteria accounted for 75.0%（180 153 strains）. The detected bacteria mainly include Escherichia coli（ n=53 587，22.3%）， Klebsiella pneumoniae（ n=39 774，16.5%）， Pseudomonas aeruginosa（ n=25 505，10.6%）， Staphylococus aureus（ n=19 438，8.1%）， Acinetobacter baumannii complex（ n=14 239，5.9%），and so on. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 37.7%（7 112/18 853）and 73.9%（13 221/17 895），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of carbapenem-resistant Escherichia coli（CREC）and Klebsiella pneumoniae（CRKP）were 1.9%（971/51 991）and 12.3%（4 864/39 414），respectively. The resistance rate of CRKP to tigecycline and polycolistin B was 7.7% and 7.9%，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex and Pseudomonas aeruginosa（CRPA）were 57.9%（8 222/14 198）and 18.2%（4 569/25 052），respectively，with low resistance to polycolistin B（2.0% and 7.2%，respectively）. The detection rates of MRSA，MRCNS，CRAB complex，third-generation cephalosporin-resistant Escherichia coli（3GC-R-EC）and quinolone-resistant Escherichia coli（QREC）in northern Anhui were the highest（46.8%，77.1%，65.6%，57.6% and 55.5%，respectively），which were higher than those in central and southern Anhui（ χ2=107.858 and 566.202，5.950 and 142.223，39.254 and 289.137，135.402 and 449.114，39.142 and 185.114， P<0.05 or <0.01），and the detection rates in central Anhui were higher than those in southern Anhui（ χ2=272.031，102.717，162.409，118.891 and 66.889，all P<0.001）. The detection rates of CRKP，CRPA and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（3GC-R-KP）in central Anhui were the highest（16.7%，21.7% and 32.0%，respectively），which were higher than those in northern and southern Anhui（ χ2=229.656 and 439.377，156.599 and 65.818，77.386 and 232.568，all P<0.001）. The detection rates of CREC，3GC-R-EC and QREC were the highest in the elderly（2.2%，54.0% and 56.4%，respectively），which were higher than those in children and adults（ χ2=8.034 and 13.150，17.032 and 103.437，438.353 and 183.099，all P<0.01）. The detection rates of CRKP and 3GC-R-KP in neonates were the highest（20.6% and 56.9%，respectively），which were significantly higher than those in children，adults and the elderly（ χ2=38.869，8.337 and 7.921；65.517，55.525 and 49.214，all P<0.01），and the detection rate of 3GC-R-KP in the elderly was higher than that in children and adults（ χ2=14.122 and 7.501，both P<0.01）. The detection rates of CRAB complex，CRPA，CREC，CRKP and 3GC-R-KP in tertiary hospitals were higher than those in secondary hospitals（ χ2=25.606，16.501，5.820，33.116 and 117.086， P<0.05 or <0.01）. Except for MRSA，vancomycin-resistant Enterococcus faecium and QREC，the detection rates of major drug-resistant bacteria in intensive care unit（ICU）were the highest（all P<0.001）. From 2019 to 2024，the detection rates of MRSA，MRCNS，CRKP，CRAB complex and CRPA all showed a slow decreasing trend（ χ2=42.319，122.779，340.381，83.512 and 81.668，all P<0.001）. Conclusions:The situation of antimicrobial resistance in Anhui province shows a downward trend，but it is still serious，especially in northern and central Anhui. It is necessary to pay attention to the bacterial resistance particularly for the elderly，newborns，children and ICU.

Objective To investigate the efficacy of ketogenic diet in the treatment of SCN2A gene-related developmental epileptic encephalopathy.Methods The clinical data of a child with developmental epileptic encephalopathy associated with SCN2A gene mutation,whose main manifestations were developmental retardancy and epileptic spasm,and treated with ketogenic diet was retrospectively analyzed.Results Epileptic spasm onset at 5 months old.The EEG showed hypsarrhythmia and the epileptic spasm was monitored.Genetic examination revealed a new heterozygous missense mutation of c.5317 G＞A(p.Ala1773Thr)in SCN2A gene.The child was not effective after treatment with a variety of anti-seizure drugs,and was effective after treatment with ketogenic diet.The follow-up for 11 months showed that the seizure of the child was completely controlled and cognitive progress was made.Conclusion The ketogenic diet can be used to treat SCN2A gene-related developmental epileptic encephalopathy,and it can also achieve better results for younger patients.

Objective To investigate the efficacy of ketogenic diet in the treatment of SCN2A gene-related developmental epileptic encephalopathy.Methods The clinical data of a child with developmental epileptic encephalopathy associated with SCN2A gene mutation,whose main manifestations were developmental retardancy and epileptic spasm,and treated with ketogenic diet was retrospectively analyzed.Results Epileptic spasm onset at 5 months old.The EEG showed hypsarrhythmia and the epileptic spasm was monitored.Genetic examination revealed a new heterozygous missense mutation of c.5317 G＞A(p.Ala1773Thr)in SCN2A gene.The child was not effective after treatment with a variety of anti-seizure drugs,and was effective after treatment with ketogenic diet.The follow-up for 11 months showed that the seizure of the child was completely controlled and cognitive progress was made.Conclusion The ketogenic diet can be used to treat SCN2A gene-related developmental epileptic encephalopathy,and it can also achieve better results for younger patients.

Objective:To report the surveillance results of the distribution and antimicrobial resistance profile of clinical isolates in Anhui province.Methods:Surveillance data from 94 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）from October 2023 to September 2024 were collected，the major drug-resistant bacteria and the resistance to commonly used antibiotics were analyzed. WHONET 5.6 and SPSS 25.0 software were used for data analysis.Results:Among 240 339 clinical strains，Gram-negative bacteria accounted for 75.0%（180 153 strains）. The detected bacteria mainly include Escherichia coli（ n=53 587，22.3%）， Klebsiella pneumoniae（ n=39 774，16.5%）， Pseudomonas aeruginosa（ n=25 505，10.6%）， Staphylococus aureus（ n=19 438，8.1%）， Acinetobacter baumannii complex（ n=14 239，5.9%），and so on. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 37.7%（7 112/18 853）and 73.9%（13 221/17 895），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of carbapenem-resistant Escherichia coli（CREC）and Klebsiella pneumoniae（CRKP）were 1.9%（971/51 991）and 12.3%（4 864/39 414），respectively. The resistance rate of CRKP to tigecycline and polycolistin B was 7.7% and 7.9%，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex and Pseudomonas aeruginosa（CRPA）were 57.9%（8 222/14 198）and 18.2%（4 569/25 052），respectively，with low resistance to polycolistin B（2.0% and 7.2%，respectively）. The detection rates of MRSA，MRCNS，CRAB complex，third-generation cephalosporin-resistant Escherichia coli（3GC-R-EC）and quinolone-resistant Escherichia coli（QREC）in northern Anhui were the highest（46.8%，77.1%，65.6%，57.6% and 55.5%，respectively），which were higher than those in central and southern Anhui（ χ2=107.858 and 566.202，5.950 and 142.223，39.254 and 289.137，135.402 and 449.114，39.142 and 185.114， P<0.05 or <0.01），and the detection rates in central Anhui were higher than those in southern Anhui（ χ2=272.031，102.717，162.409，118.891 and 66.889，all P<0.001）. The detection rates of CRKP，CRPA and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（3GC-R-KP）in central Anhui were the highest（16.7%，21.7% and 32.0%，respectively），which were higher than those in northern and southern Anhui（ χ2=229.656 and 439.377，156.599 and 65.818，77.386 and 232.568，all P<0.001）. The detection rates of CREC，3GC-R-EC and QREC were the highest in the elderly（2.2%，54.0% and 56.4%，respectively），which were higher than those in children and adults（ χ2=8.034 and 13.150，17.032 and 103.437，438.353 and 183.099，all P<0.01）. The detection rates of CRKP and 3GC-R-KP in neonates were the highest（20.6% and 56.9%，respectively），which were significantly higher than those in children，adults and the elderly（ χ2=38.869，8.337 and 7.921；65.517，55.525 and 49.214，all P<0.01），and the detection rate of 3GC-R-KP in the elderly was higher than that in children and adults（ χ2=14.122 and 7.501，both P<0.01）. The detection rates of CRAB complex，CRPA，CREC，CRKP and 3GC-R-KP in tertiary hospitals were higher than those in secondary hospitals（ χ2=25.606，16.501，5.820，33.116 and 117.086， P<0.05 or <0.01）. Except for MRSA，vancomycin-resistant Enterococcus faecium and QREC，the detection rates of major drug-resistant bacteria in intensive care unit（ICU）were the highest（all P<0.001）. From 2019 to 2024，the detection rates of MRSA，MRCNS，CRKP，CRAB complex and CRPA all showed a slow decreasing trend（ χ2=42.319，122.779，340.381，83.512 and 81.668，all P<0.001）. Conclusions:The situation of antimicrobial resistance in Anhui province shows a downward trend，but it is still serious，especially in northern and central Anhui. It is necessary to pay attention to the bacterial resistance particularly for the elderly，newborns，children and ICU.

Objective To investigate the relationship between the expression of long non-coding RNA(LncRNA)small nucleolar RNA host gene 11(SNHG11)and hypoxia inducible factor(HIF)-1α and angiogenesis mimicry(VM)in ovarian cancer.Methods A total of 116 ovarian cancer patients admitted to Tangshan Maternal and Child Health Care Hospital from October 2019 to January 2023 were regarded as the research subjects.Based on whether VM had formed,ovarian cancer patients were grouped into VM group(n=51)and non VM group(n=65).Another 50 partients who underwent health examinations during the same period were regarded as the control group.Real-time fluorescence quantitative PCR(qPCR)was applied to detect the expression levels of LncRNA SNHG11 and HIF-1α in serum of ovarian cancer patients and control groups.Spearman correlation was applied to detect the relationship between LncRNA SNHG11,HIF-1α,and VM formation.The diagnostic value of LncRNA SNHG11,HIF-1α,and their combined detection in the formation of VM in ovarian cancer patients was analyzed using the receiver operating characteristic(ROC)curve.Results Compared with the control group,the levels of serum LncRNA SNHG11(3.01±0.88,2.21±0.68 vs 1.12±0.35)and HIF-1α(2.16±0.67,1.60±0.44 vs 1.01±0.31)in ovarian cancer patients with VM group and non VM group were increased(t=12.136,9.006;19.890,16.591,all P＞0.05),the levels of serum LncRNA SNHG11 and HIF-1αin the VM group were obviously higher than those in the non VM group(t=8.957,8.595),and the differences were statistically significant(all P＜0.05).The expression of LncRNA SNHG11,HIF-1α,and the formation of VM were not related to age and tissue type(t=1.036,0.976,0.218;1.254,1.390,0.368,all P＞0.05),but were related to tumor size,FIGO staging,lymph node metastasis,and pathological grading(t=5.351,5.186,13.264;5.465,5.227,10.898;6.063,6.016,5.374;4.030,5.871,5.509,all P＜0.05).Spearman correlation analysis showed that there were obvious positive correlations between LncRNA SNHG11,HIF-1α,and VM generation(r=0.560,0.494,all P<0.05).ROC curve results showed that the areas under the curve(AUCs)of serum LncRNA SNHG11 and HIF-1α for diagnosing VM formation in ovarian cancer patients were 0.860 and 0.824,respectively,with sensitivity of 80.4%and 75.6%,specificity of 58.9%and 51.9%,respectively.The AUC of VM formation in ovarian cancer patients diagnosed by the combination of the two was 0.941,with sensitivity and specificity were 92.2%and 79.9%,respectively.Conclusion The abnormal expressions of LncRNA SNHG11 and HIF-1α were closely related to the formation of VM in ovarian cancer patients,and both may serve as potential biological indicators for judging VM.

A retrospective analysis was made on the clinical data of a child with Turnpenny-Fry syndrome who was treated in the Epilepsy Center of Kunming Children′s Hospital in January 2023 for developmental retardation and epileptic spasm.The child, a 1-year-and-4-month-old boy, had developmental retardation since birth and developed epileptic spasm at the age of 5 months.Physical examination and auxiliary examination showed distinct facial features, heart, bone and other developmental malformations.Electroencephalogram indicated hypsarrhythmia and epileptic spasm.The genetic test suggested the presence of c. 194C>T (p.Pro65Leu), a new heterozygous mutation in PCGF2 gene.The seizures were completely controlled with anti-seizure drugs.This child is the only case reported with infantile epileptic spasm as the main manifestation so far, expanding the understanding of the phenotype of the disease.

Objective:To analyse the distribution and antimicrobial resistance profile of clinical bacterial isolates in Anhui province.Methods:Surveillance data was collected from 83 members of the Anhui Antimicrobial Resistance Surveillance Network（HuiNet）during October 2022 to September 2023，to analyze the resistance of major bacteria to commonly used antibiotics and the detection of clinically common drug-resistant bacteria. The data was analyzed using WHONET 5.6 and SPSS 25.0 software.Results:A total of 201 647 clinical bacteria isolates were collected，with Gram-negative bacteria accounting for 74.8%（150 847/201 647）. The most prevalent Gram-positive bacterial strains were Staphylococus aureus（32.8%，16 648/50 800），followed by Staphylococcus epidermidis（14.0%，7 098/50 800）， Enterococcus faecalis（10.7%，5 458/50 800）， Enterococcus faecium（9.1%，4 613/50 800）and Staphylococcus hominis（7.4%，3 778/50 800）；the most prevalent Gram-negative bacterial strains were Escherichia coli（28.9%，43 577/150 847），followed by Klebsiella pneumoniae（22.5%，34 006/150 847）， Pseudomonas aeruginosa（14.7%，22 171/150 847）， Acinetobacter baumannii complex（9.4%，14 194/150 847）and Enterobacter cloacae（3.5%，5 235/150 847）. The prevalence of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococcus aureus（MRCNS）were 39.5%（6 442/16 325）and 75.7%（12 343/16 312），respectively. No vancomycin- and teicolanin-resistant Staphylococcus were detected. The prevalence of vancomycin-resistant Enterococcus faecium and Enterococcus faecalis were 0.5% and 0.6%，respectively. The prevalence of carbapenem-resistant Escherichia coli and Klebsiella pneumoniae（CR-KPN）were 1.9%（805/42 956）and 11.7%（3 950/33 761），respectively. The resistance rate of CR-KPN to tigecycline was 3.9%. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CR-PAE）and Acinetobacter baumannii（CR-ABA）complex were 18.4%（3 936/21 447）and 62.9%（8 649/13 744），respectively，with low resistance rate to polycolistin B（6.9% and 1.7%，respectively）. The detection rates of MRSA，CR-ABA complex，third-generation cephalosporin-resistant Escherichia coli（CTX/CRO-R-ECO）and quinolone-resistant Escherichia coli（QNR-ECO）in northern Anhui were the highest（50.3%，72.9%，59.2% and 55.6%，respectively），which were higher than those in central and southern Anhui（ χ2=112.734 and 575.069，132.747 and 233.885，93.986 and 471.209，60.062 and 230.669，all P<0.001），and the detection rate in central Anhui was higher than that in southern Anhui（ χ2=278.671，29.219，207.395 and 80.267，all P<0.001）. The detection rates of CR-KPN and thirdgeneration cephalosporinresistant Klebsiella pneumoniae（CTX/CRO-R-KPN）in central Anhui were the highest（15.5% and 33.3%，respectively），which were higher than those in northern and southern Anhui（ χ2=156.237 and 325.533，76.928 and 180.686，all P<0.001），and the detection rate in northern Anhui was higher than that in southern Anhui（ χ2=32.202 and 25.539， P<0.001）. The detection rates of CTX/CRO-R-ECO and QNR-ECO were the highest in the elderly（55.2% and 55.8%，respectively），which were higher than those in children，and young and middle aged adults（ χ2=23.906 and 120.575，376.404 and 196.612， P<0.001）. The detection rate of CTX/CRO-R-KPN in neonates was the highest（57.1%），which was significantly higher than that in children，adults and the elderly（ χ2=46.141，38.843 and 32.093， P<0.001），and the detection rate in the elderly was higher than that in children and adults（ χ2=13.604 and 13.471， P<0.001）. The detection rates of MRSA and MRCNS were the highest in children（42.8% and 77.8%，respectively），which were higher than those in adults（ χ2=21.766 and 10.704， P<0.001）. Except MRSA and vancomycin-resistant Enterococcus faecium and faecalis，the detection rates of major drug-resistant bacteria in tertiary hospitals were higher than those in secondary hospitals（ P<0.05 or <0.01）. Conclusion:In 2023，the situation of antimicrobial resistance in Anhui province was serious，especially in northern and central Anhui，and targeted drug resistance control measures should be taken according to the monitoring results. At the same time，it is necessary to pay attention to the bacterial resistance in the elderly，newborns and children，and strengthen the rational use of antibiotics by clinicians to curb the spread of drug-resistant bacteria.

Neurodevelopmental disorder (NDD) is a kind of chronic developmental brain dysfunction disease, with strong phenotypic heterogeneity, complex etiology, strong heredity, most of which lack effective drug treatment, and high incidence rate and disability rate. With the advancement of detection technology, more and more mechanisms of NDD have been discovered, driving the progress of its drug treatment. Strengthening research on the pathogenesis of NDD in the future will contribute to the development of better treatments, thereby improving the quality of life and prognosis of patients.

Objective:To compare the consistency of preoperative frailty assessment in elderly colorectal cancer patients using Frailty Phenotype (FP), FRAIL Scale (FS), Clinical Frailty Scale (CFS), and Edmonton Frailty Scale (EFS), and their predictive performance in predicting the postoperative complication, so as to provide reference for nurses to choose appropriate frailty assessment tools.Methods:From December 2020 to October 2021, 207 elderly patients who underwent radical surgery for colorectal cancer at the General Surgery of the First Affiliated Hospital of Soochow University were selected as the study subject by convenience sampling. FP, FS, CFS, and EFS were used to assess patients' frailty. Taking postoperative complications as the outcome indicator, the predictive performance of four frailty assessment tools was compared using the receiver operating characteristic (ROC) curve and Bayes discriminant analysis.Results:The frailty detection rates of FP, FS, CFS, and EFS in 207 elderly colorectal cancer patients were 19.8% (41/207), 11.6% (24/207), 22.2% (46/207), and 10.1% (21/207), respectively. The areas under the ROC curves of FP, FS, CFS, and EFS were 0.714, 0.643, 0.737, and 0.665, respectively, with statistically significant differences (all P<0.01). Pairwise comparison found that there were statistically significant differences in the area under the ROC curve between FP and FS, FS and CFS, CFS and EFS ( P<0.05). The cross validation accuracy of FP, FS, CFS and EFS in predicting the postoperative complication in elderly colorectal cancer patients was 78.7%, 68.6%, 76.3%, and 75.8%, respectively. Conclusions:FP and CFS have moderate predictive performance for postoperative complications in elderly colorectal cancer patients, and there is no difference in predictive performance between the two. Both CFS and FP can be used for the assessment of preoperative frailty in elderly colorectal cancer patients, but considering clinical applicability, CFS is recommended.

Pediatric central nervous system (CNS) immune-related disease is a group of heterogeneous inflammatory conditions mainly affecting CNS. They usually happen in previously healthy individual, with varied clinical manifestations, pathophysiology and genetic changes. Patients require different therapy as well as have different prognosis. Immunotherapy often is helpful to control the disease. With the development of molecular techniques within the recent 10 years, the clinical spectrum and pathogenesis of these neuroinflammatory diseases is being recognized. Further investigations into these diseases are helpful for early diagnosis and targeted immunotherapy, contribute to decrease the mortality and morbidity, then improve the clinical outcome eventually. This study mainly discuss the neuroinflammatory diseases primarily happen in CNS.