OBJECTIVE To screen characteristic peaks of hypervirulent Klebsiella pneumoniae(hvKP)using ma-trix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)combined with EX-Smartspec software and establish a rapid detection model for hvKP.METHODS Based on identification criteria of any positive peg-344,iroB,iucA,rmpA,prmpA2 genes or siderophore production＞30 μg/ml,89 hvKP and 72 classical Klebsiella pneumoniae(cKP)strains were initially collected and validated for virulence via Galleria mellonella assays.A diagnostic model distinguishing hvKP from cKP was constructed using EX-Smartspec soft-ware and a convolutional neural network algorithm,integrating characteristic peaks and cluster analysis to provide a rapid and accurate clinical diagnostic tool.RESULTS MALDI-TOF MS analysis identified a characteristic hvKP peak at(3 835±100)ppm.Receiver operating characteristic(ROC)curve analysis revealed optimal performance in distinguishing hvKP with an area under the curve(AUC)=0.741.When AUC ≥0.089,the model demonstra-ted high sensitivity(86.41％),specificity(69.90％),accuracy(78.16％),positive predictive value(74.17％),and negative predictive value(83.72％)in differentiating hvKP from cKP.Cluster analysis further validated the model's classification accuracy.Additionally,the typing classification model exhibited high accuracy(approxi-mately 0.95 and 0.90 in training and validation phases,respectively)and low loss values(-0.18 and 0.30).Val-idation of 6 randomly selected hvKP and 5 cKP strains showed a 100.00％pass rate.CONCLUSION The estab-lished diagnostic model for hvKP and cKP provides a rapid and accurate clinical tool for timely treatment of hvKP-related infections.

OBJECTIVE To screen characteristic peaks of hypervirulent Klebsiella pneumoniae(hvKP)using ma-trix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)combined with EX-Smartspec software and establish a rapid detection model for hvKP.METHODS Based on identification criteria of any positive peg-344,iroB,iucA,rmpA,prmpA2 genes or siderophore production＞30 μg/ml,89 hvKP and 72 classical Klebsiella pneumoniae(cKP)strains were initially collected and validated for virulence via Galleria mellonella assays.A diagnostic model distinguishing hvKP from cKP was constructed using EX-Smartspec soft-ware and a convolutional neural network algorithm,integrating characteristic peaks and cluster analysis to provide a rapid and accurate clinical diagnostic tool.RESULTS MALDI-TOF MS analysis identified a characteristic hvKP peak at(3 835±100)ppm.Receiver operating characteristic(ROC)curve analysis revealed optimal performance in distinguishing hvKP with an area under the curve(AUC)=0.741.When AUC ≥0.089,the model demonstra-ted high sensitivity(86.41％),specificity(69.90％),accuracy(78.16％),positive predictive value(74.17％),and negative predictive value(83.72％)in differentiating hvKP from cKP.Cluster analysis further validated the model's classification accuracy.Additionally,the typing classification model exhibited high accuracy(approxi-mately 0.95 and 0.90 in training and validation phases,respectively)and low loss values(-0.18 and 0.30).Val-idation of 6 randomly selected hvKP and 5 cKP strains showed a 100.00％pass rate.CONCLUSION The estab-lished diagnostic model for hvKP and cKP provides a rapid and accurate clinical tool for timely treatment of hvKP-related infections.

Objective:To investigate therapeutic effect of cisplatin sequential recombinant human vascular endostatin thoracic perfusion in treatment of malignant pleural effusion.Methods:A total of 80 patients with malignant pleural effusion in Maoming People's Hospital from January 2018 to February 2021 were enrolled, and all patients were divided into 2 groups according to the random number table methods, each group with 40 cases. The control group was treated with small-bore catheter minimally invasive drainage combined with cisplatin thoracic perfusion, and the study group was treated with small-bore catheter minimally invasive drainage combined with cisplatin sequential recombinant human vascular endostatin thoracic perfusion. And then the clinical efficacy, expressions of vascular endothelial growth factor (VEGF) expression, pain degree and adverse reactions were compared of both groups.Results:The treatment efficacy rate of the study group was higher than that of the control group [90% (36/40) vs. 75% (30/40)], and the difference was statistically significant ( χ2 = 5.04, P < 0.05). After treatment, the level of VEGF in pleural fluid and serum of the study group was lower than that of the control group [(304±106) pg/ml vs. (598±159) pg/ml,(103±43) pg/ml vs. (189±49) pg/ml], and the difference was statistically significant ( t = 6.62, P < 0.001; t = 6.23, P < 0.001). After treatment, the visual analogue scale (VAS) score of the study group was lower than that of the control group [(3.7±0.3) scores vs. (4.4±0.7) scores], and the difference was statistically significant ( t = 2.10, P < 0.05). The incidence of adverse reactions including stethalgia, fever, nausea and vomiting in both groups had no statistically significant differences (all P > 0.05). Conclusions:Cisplatin sequential recombinant human vascular endostatin thoracic perfusion combined with small-bore catheter minimally invasive drainage can effectively ameliorate clinical symptoms, inhibit the expression of VEGF, and alleviate pain degree with no serious adverse reactions in patients with malignant pleural effusion.

Objective To study change of insulin resistance and beta-cell function of the patients in hyper-tension with normal glucose tolerance(NGT) to phthogonesis of type 2 diabetes mellitus(T2DM). Methods 84 pa-tients with hypertension were divided into NGT group,and groups of impaired glucose tolerance(IGT) with groups of T2DM. The blood pressure, height, weight, waist circumference, hip circumference, high-density lipoproteins (HDL-C)and total cholesterol(TC) ,fasting plasma glucose(FPG) and fasting plasma insulin(FINS) were measured to deter-mine the body mass index(BMI) ,waist/hip ratio(WHR) ,insulin secretion function[ including Homa β-cell function index(HBCI) and fasting β-cell function index(FBCI)] and insulin resistance level [ including Homa model insulin resistance index(IR) and insulin action index(IAI)] ,statistic comparison were measured between the groups of dif-ferent glucose tolerances. Results The BMI, WHR, diastolic blood pressure ( DBP), TC in IGT group and T2DM group were bigger or higher than those in NGT group ( P<0.05, P<0.01 ), the IAI, HOMA-IS and FBCI in T2DM group were lower than those in NGT group with these in NGT group were lower than those in NGT group( P<0.05 ,P<0.01 ). The HOMA-IR in IGT group and T2DM group were higher than those in NGT group with these in T2DM group were higher than those in NGT group. Conclusion T2DM group and IGT group had more insulin resistance level,sensitivity of insulin and islet β-cell function decrease than those in IGT group,the IGT group and T2DM group are analogous at the body weight is heavier, with waist/hips ratio, triglyceride level and DBP are higher than those in the NGT group in clinic.

Objective To investigate the incidence,correlative factors and prevention of perimenopausal symptoms.Methods 146 perimenopausal women were investigated by using Kupperman menopausal index(KMI),life event scale,improved social support scale and self-made inventory.Results We got 112 available data,the incidence of perimenopausal symptoms was 75.0%,58.0%was mild,15.2%was moderate,1.8%was sevcre.The main correlative factors of perimenopausal symptoms were inhabited environment,self emotional controllability,history of gynecologic diseases,history of depression,dysmenorrhea,premenstrual syndrome,menopause,score of life eventscale,improved social support scale.Conclusions The incidence of perimenopausal symptoms is high.It is also related to factors of society,family and mentality,except hypogonadism.Preventing perimenopausal symptoms according to its cirrelative factors may decrease its incidence and enhance the life quality of women.