AIM: To explore preoperative risk factors affecting residual astigmatism after Toric intraocular lens(IOL)implantation, and construct and verify a clinically applicable prediction model.METHODS: This retrospective study included patients who underwent Toric IOL implantation at Puyang Oilfield General Hospital and the Second People's Hospital of Puyang City from October 2023 to August 2025. Patients were categorized into two groups according to residual astigmatism at 3 mo postoperatively: >0.25 D group and ≤0.25 D group. Preoperative clinical data and ocular parameters of the two groups were collected and compared. Multivariate Logistic regression analysis was used to screen risk factors, and a nomogram prediction model was established accordingly. Receiver operating characteristic(ROC)curve, calibration curve, and Hosmer-Lemeshow test were adopted to evaluate discrimination, calibration, and clinical applicability of the model. Bootstrap method was applied for internal validation.RESULTS: Totally 103 patients(103 eyes)were included, with 72 patients(72 eyes)in the group with residual astigmatism ≤0.25 D, including 38 males and 34 females, with an average age of 67.35±6.12 y; There were 31 cases(31 eyes)in group with residual astigmatism >0.25 D, including 19 males and 12 females, with an average age of 69.87±6.45 y. The proportion of patients with a history of diabetes, as well as the values for axial length, horizontal corneal diameter, flat corneal curvature(K1), steep corneal curvature(K2), astigmatic axis and proportion of lens nuclear hardness grade III-IV were significantly higher in the residual astigmatism group >0.25 D than those in the residual astigmatism ≤0.25 D group(all P<0.05). Multivariate analysis identified increased horizontal corneal diameter, higher K1 value, higher K2 value, and higher lens nuclear hardness(grade III-IV)as independent risk factors for postoperative residual astigmatism >0.25 D(all P<0.05). The nomogram constructed from these factors demonstrated that the area under the ROC curve(AUC)was 0.794, with a sensitivity of 80.31% and a specificity of 75.20%. The concordance index(C-index)of internal validation was 0.865. Calibration curve and Hosmer-Lemeshow test(χ2=5.231, P=0.734)indicated good consistency between predicted and actual values of the model.CONCLUSION: The nomogram model established based on horizontal corneal diameter, K1, K2 and lens nucleus hardness exhibits favorable predictive performance. It can effectively predict the risk of residual astigmatism prior to Toric IOL surgery, providing reference for individualized clinical surgical planning.

Objective To investigate the clinical characteristics and research progress of the patients with pregnancy complicating paroxysmal nocturnal hemoglobinuria(PNH).Methods The clinical data of 10 case-times of pregnancy complicating PNH admitted and treated in the Third Affiliated Hospital of Guang-zhou Medical University from September 2009 to January 2023 were retrospectively analyzed."Paroxysmal nocturnal hemoglobinuria"and"pregnancy"served as the English keywords,the literatures included in PubMed were retrieved."paroxysmal nocturnal hemoglobinuria"and"pregnancy"served as the Chinese key-words,the literatures included in CNKI and Wan Fang Databases from January 1986 to December 2022 were retrieved.The clinical characteristics,pregnancy diagnosis and treatment,and pregnancy outcome of together 43 case-times pregnancies complicating with PNH in 10 case-times by retrospective analysis and 33 case-times by retrieval report were analyzed by descriptive statistic method.Results Among 43 case-times of pregnancy,the common clinical symptoms had 29 case-times of anemia(67.44％),17 case-times of thrombocytopenia(39.53％),15 case-times of soy sauce color urine(34.88％),6 case-times of fatigue(13.95％),5 case-times of abdominal pain(11.63％),8 case-times of thrombosis(18.60％)during pregnancy and childbirth and 10 cases of complicating preeclampsia(23.25％).There were 31 case-times(72.09％)of red blood cell transfusions and 11 case-times(30.23％)of platelet transfusions;19 case-times(48.83％)of glucocorticoids use and 25 case-times(46.51％)of low molecular weight heparin(LMWH)use.There were 11 case-times(25.58％)of fetal growth restriction,17 case-times of premature delivery(39.53％),in which 6 case-times(28-33+6 weeks)of early stage premature delivery,the early premature delivery rate was 13.95％,there were 11 case-times of late premature delivery(34-36+6 weeks),the rate of late premature delivery was 25.58％.There were 3 case-times(6.97％)of stillbirth.Conclusion The incidence rate of mother and infant complications and adverse outcomes in the patients with pregnancy complicating PNH is high,which should be jointly man-aged by the doctors in hematology department and obstetric doctors with the experience for treating high risk pregnancy in general hospitals.

Abnormal accumulation of collagen fibrils is a hallmark feature of oral submucous fibrosis (OSF). However, the precise characteristics and underlying mechanisms remain unclear, impeding the advancement of potential therapeutic approaches. Here, we observed that collagen I, the main component of the extracellular matrix, first accumulated in the lamina propria and subsequently in the submucosa of OSF specimens as the disease progressed. Using RNA-seq and Immunofluorescence in OSF specimens, we screened the cartilage oligomeric matrix protein (COMP) responsible for the abnormal collagen accumulation. Genetic COMP deficiency reduced arecoline-stimulated collagen I deposition significantly in vivo. In comparison, both COMP and collagen I were upregulated under arecoline stimulation in wild-type mice. Human oral buccal mucosal fibroblasts (hBMFs) also exhibited increased secretion of COMP and collagen I after stimulation in vitro. COMP knockdown in hBMFs downregulates arecoline-stimulated collagen I secretion. We further demonstrated that hBMFs present heterogeneous responses to arecoline stimulation, of which COMP-positive fibroblasts secrete more collagen I. Since COMP is a molecular bridge with Fibril-associated collagens with Interrupted Triple helices (FACIT) in the collagen network, we further screened and identified collagen XIV, a FACIT member, co-localizing with both COMP and collagen I. Collagen XIV expression increased under arecoline stimulation in wild-type mice, whereas it was hardly expressed in the Comp^-/- mice, even with under stimulation. In summary, we found that COMP may mediates abnormal collagen I deposition by functions with collagen XIV during the progression of OSF, suggesting its potential to be targeted in treating OSF.
Oral Submucous Fibrosis/pathology* ; Cartilage Oligomeric Matrix Protein/genetics* ; Animals ; Mice ; Humans ; Fibroblasts/metabolism* ; Collagen Type I/metabolism* ; Arecoline/pharmacology* ; Mouth Mucosa/metabolism* ; Cells, Cultured ; Fluorescent Antibody Technique

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

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.

This study was aimed at investigating the infection status of orf virus(ORFV)and the genetic evolution characteristics of epidemic ORFV isolates from Anhui province.A total of 303 clinical samples collected from major meat sheep breeding cities in An-hui during 2021-2023 were subjected to ORFV detection with fluorescence quantitative PCR(qPCR).The full-length B2L and F1L genes of ORFV in the positive samples were amplified through conventional PCR and sequenced.Genetic evolution analysis of the B2L and F1L genes was conducted after sequencing.The qPCR results indicated a total ORFV positivity rate in the clinical samples of 48.8%(148/303).Multiple sequence comparisons indicated that the B2L genes of 56 sample isolates shared 96.7%-100.0%DNA and 97.4%-100.0%amino acid sequence identity.Moreover,the F2L genes of 56 sample isolates shared 95.1%-100.0%DNA and 95.0%-100.0%amino acid sequence identity.The genetic evolution tree constructed with the B2L gene DNA sequences indicated sample iso-lates and 21 reference strains located in subgroup 1,and 26 sheep-derived sample isolates and 17 reference strains located in sub-group 2.Among them,the goat-derived sample isolate FY-TYA was located in the same sub-branch as the human-derived reference strain Gansu,whereas the goat-derived sample isolate FY-XQC was located in the same sub-branch as the reference strains China Vaccine and OV-HLJ-04.The genetic evolution tree constructed with the F1L gene DNA sequences showed,the goat sample isolates FY-XQA and FY-XQC were located in the same sub-branch as the sheep-derived reference strain Xinjiang.ORFV infection was rela-tively widespread in the major meat sheep breeding areas of Anhui province,and the DNA and amino acid sequences of the B2L and F1L genes of current circulating ORFV isolates showed different degrees of genetic variation,among which F1L gene had a high de-gree of variation.Furthermore,some goat-derived sample isolates were closely related to human,vaccine,and sheep-derived refer-ence strains.These results may serve as a reference for the prevention and control of ORFV infection in Anhui province.

Objective To analyze the clinical and pathogenic characteristics,as well as influencing factors for the prognosis of patients with Candida bloodstream infection(CBSI).Methods Clinical data of 47 CBSI patients in a hospital from January 2015 to September 2024 were collected.Distribution of departments and infection strains,an-timicrobial resistance,and influencing factors for the poor prognosis of patients were analyzed.Results A total of 51 strains of Candida were detected from 47 CBSI patients,mainly from the intensive care unit(ICU;n=25,53.2％),department of intestinal fistula surgery(n=8,17.0％),and department of respiratory medicine(n=4,8.6％),et al.The main detected pathogens were Candida albicans(n=29,56.9％),Candida tropicalis(n=7,13.7％),Candida glabrata(n=6,11.8％),and Candida parapsilosis(n=6,11.8％).Resistance rate of Candida albi-cans to fluconazole was 11.5％(3/26).According to the prognosis results,patients were divided into a good prog-nosis group(n=26,55.3％)and a poor prognosis group(n=21,44.7％).Univariate analysis showed statistically significant differences between patients in the good prognosis group and the poor prognosis group in terms of abso-lute neutrophil count,ICU admission,mechanical ventilation,tracheal intubation,gastrointestinal hemorrhage/per-foration,and surgical treatment(lesion clearance,drainage or unblocking for obstruction)(all P＜0.05).Prelimi-nary multivariate logistic regression analysis showed that gastrointestinal hemorrhage/perforation was a potential risk factor for the poor prognosis in CBSI patients(OR=11.156,95％CI:1.434-86.809,P=0.021).Conclusion The detected CBSI strains are mainly Candida albicans,and gastrointestinal hemorrhage/perforation may be one of the potential risk factors affecting the prognosis of CBSI patients.These patients are generally in critical condition and should be detected and treated as early as possible to improve their prognosis.Due to the small amount of speci-mens,further research is still needed for confirmation.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objectives:To develop a risk prediction model for sudden cardiac arrest(CA)in children with congenital heart disease(CHD)after surgery and validate its predictive efficacy,providing a reference for the prevention of CA and risk stratification.Methods:Medical records were retrospectively analyzed from 5 029 children who were hospitalized in Fuwai Hospital,Chinese Academy of Medical Sciences from January 1,2020 to May 31,2022 and underwent CHD surgery.The patients were divided into two groups:those who experienced CA after surgery(n=33)and those who did not(n=4 996).A random forest model for predicting the risk of postoperative CA was established on the training dataset using R software,and the predictive effect of the model was evaluated on the validation dataset using indicators of predictive accuracy,sensitivity,specificity,positive predictive value,negative predictive value.Results:The incidence of CA in this center was 0.66%,survival rate is 72.73%.Using the random forest algorithm,the importance of risk factors for sudden CA after CHD surgery was ranked by variable importance scoring,with the following top 6 important predictive variables:blood pressure,lactate levels,heart rate,cardiac rhythm,arterial oxygen partial pressure,and blood oxygen saturation on the first day after surgery.The model established by the random forest algorithm on the training set was validated on the test set,yielding a predictive accuracy of 99.8%,specificity of 87.5%,sensitivity of 99.9%,kappa coefficient of 0.8225,positive predictive value of 99.9%,and negative predictive value of 77.8%.Conclusions:The established prediction model of sudden CA in children with CHD after surgery had good performance.It might help medical staffon decision making of early intervention,preventing the occurrence of CA,and improving the outcomes of children with high risk of CA post surgery.