Objective To investigate the distribution and resistance of clinical isolates obtained from the second affiliated hospi-tal of Chongqing medical university in 2012 .Methods The bacteria strains isolated from clinics were collected .Identification and drug susceptibility test were performed by automatic analysis system and API manual identification system .The date was analyzed according with software WHONET 5 .6 .Results A total of 3 454 bacterial isolates were obtained ,which included 36% gram-posi-tive strains ,64% gram-negative strains and 1% Anaerobic bacteria .The detection rates of methicillin-resistant S .aures was 33% , the detection rate of vancomycin -resistant enterococci was 1 .6% .In enterobacteriaceae ,ESBLs producing strains accounted for 60 .6% and 35 .8% in E .coil and K .pneumonia respectively .The drug resistance of A .baumannii and P .aeruginosa was increased . Conclusion Drug resistance of bacterial isolated from our hospital is universal .Drug monitoring data is important for clinical treat-ment .

Objective To explore the value of lipoprotein-associated phospholipase A2(Lp-PLA2)in the diagnostic grading and prog-nostic assessment of pneumonia-associated acute respiratory distress syndrome(p-ARDS).Methods The study was a prospective ob-servational study.Fifty-seven patients with p-ARDS admitted to the ICU ward of Tianjin Hospital from January 2022 to August 2023 were included as the research subjects.Twenty-six pneumonia patients admitted to the general respiratory ward during the same period and 10 healthy individuals undergoing medical examinations were selected as the control group.Their serum samples were collected,and the samples from p-ARDS and pneumonia patients were obtained within 24 hours of admission.The levels of serum Lp-PLA2,in-terleukin 6(IL-6),and IL-8 were detected using the Luminex? multiplex test kit.The baseline data and laboratory test results,inclu-ding routine blood parameters,biochemical markers,C-reactive protein(CRP),procalcitonin(PCT),and D-dimer at admission,were collected from the patients with p-ARDS or pneumonia.The levels of serum Lp-PLA2 were compared by grouping based on clinical diagnosis,severity of ARDS,and clinical outcomes on day 28 after admission.The diagnostic and prognostic value of serum Lp-PLA2 in p-ARDS was evaluated by plotting the receiver operating characteristic(ROC)curve,Spearman correlation analysis,and Logistic regression analysis.Results The levels of serum Lp-PLA2 in the p-ARDS group([233.67±83.49]ng/mL)were significantly higher than that in the pneumonia group([150.86±39.48]ng/mL,P＜0.05),while those in the pneumonia group were significantly higher than that in the healthy control group([150.86±39.48]ng/mL vs[92.07±12.89]ng/mL,P＜0.05).The analysis results of the ROC curve showed that serum Lp-PLA2 had a better ability to distinguish p-ARDS from pneumonia than indicators such as IL-6,IL-8,CRP,and PCT,with an area under the ROC curve(AUCROC)of 0.781(95％CI:0.685-0.878).The diagnostic value of serum Lp-PLA2 combined with D-dimer was higher,with an AUCROC of 0.897(95％CI:0.832-0.963).Subgroup analysis found that as lung inju-ry worsened,the levels of serum Lp-PLA2 increased,and that serum Lp-PLA2 levels were negatively correlated with the PaO2/FiO2 ra-tio in p-ARDS patients(r=-0.549)and positively correlated with the sequential organ failure assessment(SOFA)scores at admission(r=0.412).The levels of serum Lp-PLA2 in the death group of p-ARDS were significantly higher than that in the survival group([314.5±43.1]ng/mL vs[174.9±48.9]ng/mL,P＜0.001).Logistic regression analysis showed that after adjusting for the SOFA score,serum Lp-PLA2 was independently associated with the mortality risk on day 28 after admission(OR=1.099,95％CI:1.026-1.178,P=0.007).Similar results were obtained after adjusting for IL-8 or the PaO2/FiO2 ratio.Conclusion Serum Lp-PLA2 may be used as a biomarker to aid in the diagnostic grading and prognostic assessment of p-ARDS.

Objective: To reveal the clinical and genetic features of neonatal/infantile epileptic disorders caused by KCNQ2 mutations and to provide a clue for the treatment and prognosis evaluation. Methods: Twenty-two patients were collected in the Department of Pediatrics, Peking University First Hospital from April 2007 to July 2016.The phenotype-genotype analysis was conducted of the neonatal/infantile epileptic patients in whom a KCNQ2 mutation was identified by the targeted next generation sequencing. Results: Twenty-two de novo KCNQ2 missense mutations from 22 patients with neonatal/infantile epileptic disorders were found.These patients had an onset of epilepsy in early infancy (median age: 2 days). The seizure type of the first onset was mainly focal seizure.Atypical absence epilepsy, a novel phenotype of KCNQ2 mutation-induced epilepsies was found.The mortality of these patients was high, as 5 patients of the 22 patients died in the follow-up period, 4 of which might result from sudden unexpected death in epilepsy.In the 22 patients, 8 patients with anti-epileptic monotherapy became seizure-free.Of the 8 patients with a monotherapy, 3 patients were treated with valproic acid and no clinical onset was observed. Conclusions This study expands the phenotype of KCNQ2-related epileptic disorders.These patients have high mortality.Valproate acid is the potentially effective monotherapy for these patients.

Objective:To establish a prediction method of diopter based on sequence of ocular biological parameters.Methods:A stratified random cluster sampling method was used to extract the dataset. The dataset consisted of data collected from January 2022 to January 2023 by the Eye & ENT Hospital, Fudan University, from children aged 5 to 13 years in 2 key schools and 2 general schools of Yangpu District, Shanghai. Children’s ocular biological parameters, including sex, age, diopter, axial length, corneal curvature, and anterior chamber depth were collected. The slope of the optimally fitted straight line was calculated using the least squares method. The least square-back propagation (BP) neural network model was established by combining baseline data and the pre-processed rate of the change of ocular biological parameters. The dataset was divided into the training set and the validation set according to the ratio of 8:2 for five-fold cross-validation. The model performance was evaluated by using the mean absolute error (MAE), mean squared error (MSE), root mean square error (RMSE), correlation coefficient R, and coefficient of determination R2. Results:The optimal performances of R2, R, RMSE, MAE, and MSE of the least square-BP neural network model were 0.96, 0.981 9, 0.214 2, 0.139 9 D, 0.045 9, respectively. The regression equation between the predicted value and the true value of the diopter was y=0.97 x+ 0.014 8, R2=0.97, with good correlation. In the internal verification, MAE values of the diopter at three, six, nine, and twelve months of follow-up were 0.110 1, 0.136 0, 0.153 7, and 0.184 8 D, respectively, which achieved clinically acceptable performance (less than 0.25 D). In the external validation, the errors were less than 0.25 D at all ages. Conclusions:A prediction method of diopter based on sequence of ocular biological parameters was successfully developed.