ObjectiveTo observe the pharmacodynamic efficacy of phlorizin in improving hepatic glycolipid metabolism disorders in type 2 diabetic mellitus （T2DM） rats and to explore its mechanism of action based on the insulin receptor substrate-1 （IRS-1）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsA high-fat diet and streptozotocin （STZ） were used to establish T2DM rat models. The rats were randomly assigned into six groups： the blank control group， model group， metformin group （300 mg·kg^-1）， and phlorizin high-dose （100 mg·kg^-1） and low-dose groups （25 mg·kg^-1）. The rats were given intragastric administration for 6 weeks. The changes in body weight and fasting blood glucose （FBG） were observed， and the oral glucose tolerance test （OGTT） was carried out. The levels of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， glycated serum protein （GSP）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in serum were detected by an automatic biochemical analyzer. The levels of fasting insulin （FINS）， interleukin （IL）-1β， IL-6， and tumour necrosis factor （TNF）-α were detected by enzyme-linked immunosorbent assay （ELISA）. The levels of superoxide dismutase （SOD） and malondialdehyde （MDA） were detected by the biochemical assays. The pancreas index， liver index， and insulin resistance index were calculated. Hematoxylin-eosin （HE） staining was used to evaluate the pathological changes in liver and pancreatic tissues. The immunofluorescence method was used to detect the changes in insulin and glucagon in pancreatic tissue. Western blot was used to detect the expression of related proteins in the IRS-1/PI3K/Akt pathway of liver tissue and its downstream glycogen synthase kinase-3β （GSK-3β） and forkhead box transcription factor O1 （FoxO1） proteins. ResultsCompared with the blank control group， the body weight of rats in the model group continued to decrease， while the FBG level increased significantly. The area under the OGTT blood glucose curve （AUC）， GSP， TC， TG， LDL-C， IL-1β， IL-6， TNF-α， MDA， pancreatic index and liver index increased significantly， while the levels of HDL-C， SOD， and FINS decreased significantly （P0.05， P0.01）. Histological results showed that the pancreatic islets of rats in the model group exhibited atrophy and severe structural abnormalities. The insulin-positive β-cells decreased significantly （P0.01）， while the glucagon-positive α-cells increased significantly （P0.01）. Inflammatory cell infiltration and partial necrosis were observed in the liver tissues of the model group rats. The expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 proteins in the liver of the model group increased significantly （P0.01）， while the expressions of p-PI3K/PI3K and p-Akt/Akt proteins decreased significantly （P0.01）. Compared with the model group， the diabetic symptoms of rats in all administration groups were improved. The changes in body weight and FBG were close to those of the blank control group. The levels of OGTT-AUC， GSP， TC， TG， LDL-C， MDA， IL-1β， IL-6， TNF-α and the pancreatic index， liver index were obviously reduced （P0.05， P0.01）， while the levels of HDL-C， SOD， and FINS obviously increased （P0.05， P0.01）. The pathological changes of the pancreas and liver in rats in all treatment groups were effectively improved. The insulin-positive β-cells in the pancreas increased significantly （P0.01）， while the glucagon-positive α-cells decreased significantly （P0.01）. The protein expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 in the liver were significantly reduced （P0.01）， while the protein expressions of p-PI3K/PI3K and p-Akt/Akt significantly increased （P0.01）. ConclusionPhlorizin reversed the weight loss and abnormal increase of FBG in T2DM rats， improved blood lipid profiles， oxidative stress， and inflammatory levels， alleviated insulin resistance， and had certain protective effects on the liver and pancreas. The hypoglycemic mechanism may involve regulating the IRS-1/PI3K/Akt signaling pathway to inhibit the activities of GSK-3β and FoxO1， thereby promoting liver glycogen synthesis and suppressing hepatic gluconeogenesis， ultimately improving glycolipid metabolism disorders.

ObjectiveTo observe the pharmacodynamic efficacy of phlorizin in improving hepatic glycolipid metabolism disorders in type 2 diabetic mellitus （T2DM） rats and to explore its mechanism of action based on the insulin receptor substrate-1 （IRS-1）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsA high-fat diet and streptozotocin （STZ） were used to establish T2DM rat models. The rats were randomly assigned into six groups： the blank control group， model group， metformin group （300 mg·kg^-1）， and phlorizin high-dose （100 mg·kg^-1） and low-dose groups （25 mg·kg^-1）. The rats were given intragastric administration for 6 weeks. The changes in body weight and fasting blood glucose （FBG） were observed， and the oral glucose tolerance test （OGTT） was carried out. The levels of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， glycated serum protein （GSP）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in serum were detected by an automatic biochemical analyzer. The levels of fasting insulin （FINS）， interleukin （IL）-1β， IL-6， and tumour necrosis factor （TNF）-α were detected by enzyme-linked immunosorbent assay （ELISA）. The levels of superoxide dismutase （SOD） and malondialdehyde （MDA） were detected by the biochemical assays. The pancreas index， liver index， and insulin resistance index were calculated. Hematoxylin-eosin （HE） staining was used to evaluate the pathological changes in liver and pancreatic tissues. The immunofluorescence method was used to detect the changes in insulin and glucagon in pancreatic tissue. Western blot was used to detect the expression of related proteins in the IRS-1/PI3K/Akt pathway of liver tissue and its downstream glycogen synthase kinase-3β （GSK-3β） and forkhead box transcription factor O1 （FoxO1） proteins. ResultsCompared with the blank control group， the body weight of rats in the model group continued to decrease， while the FBG level increased significantly. The area under the OGTT blood glucose curve （AUC）， GSP， TC， TG， LDL-C， IL-1β， IL-6， TNF-α， MDA， pancreatic index and liver index increased significantly， while the levels of HDL-C， SOD， and FINS decreased significantly （P0.05， P0.01）. Histological results showed that the pancreatic islets of rats in the model group exhibited atrophy and severe structural abnormalities. The insulin-positive β-cells decreased significantly （P0.01）， while the glucagon-positive α-cells increased significantly （P0.01）. Inflammatory cell infiltration and partial necrosis were observed in the liver tissues of the model group rats. The expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 proteins in the liver of the model group increased significantly （P0.01）， while the expressions of p-PI3K/PI3K and p-Akt/Akt proteins decreased significantly （P0.01）. Compared with the model group， the diabetic symptoms of rats in all administration groups were improved. The changes in body weight and FBG were close to those of the blank control group. The levels of OGTT-AUC， GSP， TC， TG， LDL-C， MDA， IL-1β， IL-6， TNF-α and the pancreatic index， liver index were obviously reduced （P0.05， P0.01）， while the levels of HDL-C， SOD， and FINS obviously increased （P0.05， P0.01）. The pathological changes of the pancreas and liver in rats in all treatment groups were effectively improved. The insulin-positive β-cells in the pancreas increased significantly （P0.01）， while the glucagon-positive α-cells decreased significantly （P0.01）. The protein expressions of p-IRS-1/IRS-1， p-GSK-3β/GSK-3β， and p-FoxO1/FoxO1 in the liver were significantly reduced （P0.01）， while the protein expressions of p-PI3K/PI3K and p-Akt/Akt significantly increased （P0.01）. ConclusionPhlorizin reversed the weight loss and abnormal increase of FBG in T2DM rats， improved blood lipid profiles， oxidative stress， and inflammatory levels， alleviated insulin resistance， and had certain protective effects on the liver and pancreas. The hypoglycemic mechanism may involve regulating the IRS-1/PI3K/Akt signaling pathway to inhibit the activities of GSK-3β and FoxO1， thereby promoting liver glycogen synthesis and suppressing hepatic gluconeogenesis， ultimately improving glycolipid metabolism disorders.

Objective To explore the risk factors of painful diabetic neuropathy (PDN) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 269 patients with type 2 diabetes mellitus (T2DM) who were treated in the Department of Endocrinology at Zhangjiagang Hospital Affiliated to Soochow University from January 2020 to December 2024 were selected. The patients were divided into two groups: T2DM without PDN (n=190) and T2DM with PDN (n=79). The general characteristics and biochemical indicators of the two groups of patients were compared. Multivariate logistic regression was used to analyze the associated factors with PDN in T2DM. The receiver operating characteristic (ROC) curve was used to evaluate fasting C-peptide (FC-P), body mass index (BMI), and disease duration to predict the risk of PDN. Results Compared with the T2DM group without concurrent PDN, the T2DM group with concurrent PDN had a longer disease course, lower BMI, higher HDL-C, lower FC-P, and a higher proportion of diabetic retinopathy. The differences between the two groups were statistically significant (P<0.05). The results of multivariate logistic regression analysis showed that BMI, duration, and FC-P were associated factors of PDN. Conclusion BMI, duration and FC-P are associated factors of painful neuropathy complicated with type 2 diabetes.

Objective: To screen and identify the key active molecules, signaling pathways, and therapeutic targets of Shuxuening (SXN) injection for treating liver cirrhosis (LC) and to evaluate its therapeutic potential using a mouse model. Methods: Target genes of SXN and LC were retrieved from public databases, and enrichment analysis was performed. A protein–protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and hub genes were identified using Molecular Complex Detection (MCODE). LC was induced in rats and mice via intraperitoneal injections of diethylnitrosamine and carbon tetrachloride (CCl4) for 12 weeks. Starting at week 7, SXN was administered intraperitoneally to the mice in the treatment group. Serum and liver tissues of the mice were collected for the detection of indicators, pathological staining, and expression analysis of hub targets using quantitative real-time polymerase chain reaction (qRT-PCR). Results: We identified 368 overlapping genes (OLGs) between SXN and LC targets. These OLGs were subsequently used to build a PPI network and to screen for hub genes. Enrichment analysis showed that these genes were associated with cancer-related pathways, including phosphoinositide-3-kinase/Akt and mitogen-activated protein kinase signaling and various cellular processes, such as responses to chemicals and metabolic regulation. In vivo experiments demonstrated that SXN treatment significantly improved liver function and pathology in CCl4-induced LC mice by reducing inflammation and collagen deposition. Furthermore, qRT-PCR demonstrated that SXN regulated the expression of MAPK8, AR and CASP3 in the livers of LC mice. Conclusion This study highlighted the therapeutic effects of SXN in alleviating LC using both bioinformatics and experimental methods. The observed effect was associated with modulation of hub gene expression, particularly MAPK8, and CASP3.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Near infrared spectroscopy(NIRS)analysis technology has become an important process analysis tool in industrial and agricultural production,and has been widely used for qualitative and quantitative analysis in the fields of tobacco,agriculture,and pharmaceuticals.To address issues such as poor generalization ability and low prediction accuracy in NIRS modeling,a two-dimensional convolutional neural network(2DCNN)quantitative analysis model based on competitive adaptive reweighted sampling(CARS)and Gramian angular difference field(GADF)(CARS-GADF-2DCNN)was proposed.CARS-GADF-2DCNN used the CARS method to select an optimal wavelength set from the full spectrum,then employed GADF to encode the selection results into two-dimensional images,and finally used 2DCNN for prediction analysis.The 2DCNN model consisted of convolutional layers,parallel convolution modules,flattening layer,and fully connected layers.Simulation experiments were conducted on three public near-infrared(NIR)spectral datasets encompassing soil,tablet,and grain datasets to evaluate the CARS-GADF-2DCNN model.The results demonstrated that,compared to the one-dimensional convolutional neural network(1DCNN),the GADF-2DCNN model achieved 16.74％,23.40％,and 7.13％improvement in prediction accuracy for the soil,tablet,and grain datasets,respectively.Compared to GADF-2DCNN,VCPA-GADF-2DCNN,and IRIV-GADF-2DCNN models,the CARS-GADF-2DCNN model further improved prediction accuracy.For the soil dataset,prediction accuracy improved by 39.00％,30.78％and 4.13％;for the tablet dataset,the improvements were 9.52％,6.94％and 2.56％;for the grain dataset,the improvements were 20.57％,9.85％and 15.66％.In conclusion,CARS-GADF-2DCNN effectively selected the optimal wavelength subset from near infrared spectra,and revealed the latent features between different wavelengths.CARS-GADF-2DCNN addresses the issues of high complexity in prediction models and low prediction accuracy in near infrared spectral modeling,and could be effectively applied to near infrared spectral prediction analysis of different substances.

Objective:To evaluate the role of docosahexaenoic acid (DHA) in long-term cognitive impairment after multiple sevoflurane anesthesia in newborn mice.Methods:Clean-grade healthy male C57BL/6 mice, aged 6 days, were used in this study. Ten mice were divided into 2 groups ( n=5 each) by the random number table method: control group (group C) and sevoflurane group (group S). The animals inhaled 3% sevoflurane for 2 h at 6, 7 and 8 days after birth. The DHA content was detected by ultra-high performance liquid chromatography-mass spectrometry at 9 days of age. Fifty-two mice were selected and divided into 4 groups ( n=13 each) by a random number table method: control+ normal saline group (group C+ S), sevoflurane anesthesia + normal saline group (group S+ S), control+ DHA group (group C+ D), and sevoflurane anesthesia+ DHA group (group S+ D). The sevoflurane anesthesia method was the same as the one mentioned above. DHA 50 mg/kg was administered by intragastric gavage from postnatal days 6-19 (at 6, 7 and 8 days after birth, 2 h before anesthesia) in C+ D and S+ D groups. The equal volume of normal saline was given instead in C+ S group and S+ S group. The novel object recognition test was conducted at 37 days of age, and the Morris water maze test was performed at 42 days of age. The corpus callosum and hippocampal tissues were isolated at 47 days of age for examination of the ultrastructure of myelin (with a transmission electron microscope) and for determination of the expression of myelin basic protein (MBP) in hippocampal tissues (by Western blot). The G-ratio was calculated. Results:Compared with group C, the content of DHA in hippocampal tissues was significantly decreased in group S ( P<0.05). Compared with group C+ S, the discrimination index was significantly decreased, the percentage of duration of staying at the target platform quadrant and the number of crossing the original platform were decreased, the expression of MBP was down-regulated, and the G-ratio in the original platform and hippocampus was increased in S+ S group ( P<0.05). Compared with group S+ S, the discrimination index was significantly increased, the percentage of duration of staying at the target platform quadrant and the number of crossing the original platform were increased, the expression of MBP was up-regulated, and the G-ratio in the original platform and hippocampus was decreased in S+ D group ( P<0.05). Conclusions:The mechanism of long-term cognitive impairment following multiple sevoflurane anesthesia may be related to a decrease in the content of DHA, which subsequently leads to myelin structural damage in neonatal mice.

Objective:To evaluate the relationship between preoperative gut microbiota and post-operative ventilator-associated pneumonia (VAP) in patients undergoing coronary artery bypass grafting.Methods:This was a secondary analysis of a previous research project study. Patients who received invasive mechanical ventilation treatment after elective off-pump coronary artery bypass grafting at the Second Hospital of Hebei Medical University from April to September 2023 were selected and divided into VAP group and non-VAP group based on whether VAP occurred after surgery. Fecal samples were collected from patients before surgery, and 16S rRNA gene sequencing was used to analyze the characteristics of preoperative gut microbiota in the two groups. The differences in the diversity of gut microbiota between the two groups were compared. The linear discriminant analysis was used to identify the gut microbiota with significant differences between groups (differential bacteria), and logistic regression analysis was conducted to assess the association between differential bacteria and VAP. Receiver operating characteristic curves were drawn to analyze the predictive value of the differential bacteria for VAP.Results:A total of 79 patients were finally included, with 25 in VAP group and 54 in non-VAP group. The Beta diversity analysis showed statistically significant differences between VAP group and non-VAP group (pseudo- F=2.00, P=0.002). The linear discriminant analysis indicated that Bifidobacterium, Blautia and Megamonas were enriched in non-VAP group, while Klebsiella was enriched in VAP group. Multivariate logistic regression analysis showed that the relative abundance of Bifidobacterium was a protective factor for postoperative VAP ( OR=0.32, 95% confidence interval [ CI] 0.15-0.71, P=0.005), and the relative abundance of Klebsiella was a risk factor for postoperative VAP ( OR=2.49, 95% CI 1.143-5.43, P=0.022). The area under the receiver operating characteristic curve of the relative abundance of Bifidobacterium for predicting VAP was 0.80 (95% CI 0.69-0.90, P<0.001) and of the relative abundance of Klebsiella was 0.70 (95% CI 0.57-0.83, P=0.005). Conclusions:Bifidobacterium is a protective factor, while Klebsiella is a risk factor for postoperative VAP in patients undergoing coronary artery bypass grafting, and the relative abundance of both bacteria has a certain predictive value for VAP.

Objective:To analyze and predict the biological properties and function of Treponema pallidum OmpH protein by bioinformatics methods, purify the target protein, and prepare polyclonal antibodies. Methods:From January 2024 to February 2025, the research team from the Department of Clinical Laboratory at The First Affiliated Hospital of Hunan Traditional Chinese Medical College (Hunan Province Directly Affiliated Traditional Chinese Medical Hospital) conducted a study employing integrative approaches combining bioinformatics analysis with animal experimentation. During this investigation, the coding sequence of the T. pallidum outer membrane protein H (TpOmpH) was systematically retrieved from the National Center for Biotechnology Information (NCBI) database. And the bioinformatics tools, such as Protparam, Protscale,SignalP 6.0,NetNGlyc-1.0,TMHMM2.0,NetPhos-3.1,SOPMA,AlphaFold3,IEDB,STRING,C-immsim were used to analyze and predict the biological and immunological characteristics of TpOmpH protein. The full length of TpOmpH gene was synthesized and was cloned into the pET28a to construct the recombinant plasmid pET28a-TpOmpH. The the expression of target protein was induced by IPTG and was purified using affinity chromatography. The TpOmpH protein was used to immunize mice and the anti-serum was harvested, then the titer of antibody was detected. Results:TpOmpH is a hydrophobic outer membrane protein with a molecular weight of 19.7 kDa and strong stability. The TpOmpH protein is located outside the cell membrane and contains 11 serine, 4 threonine, and 1 tyrosine phosphorylation site, but no glycosylation sites. The 77.91% of the amino acids in TpOmpH protein are alpha helix, 8.72% are extended strand, 10.47% are random coils, and 2.91% are beta turns. The tertiary structure predicted by AlphaFold3 is in its optimal state. The TpOmpH protein has 4 CTL epitopes, 4 linear epitopes, and 5 spatial epitopes. The TpOmpH protein can interact with Tp92,MutS,SurA,TPANIC_0600 and other proteins which may be involved in Tp invasion. TpOmpH protein can induce an increase in B cell count, antibody content, Th cell count, NK cell count, as well as the expression of various cytokines. High purity TpOmpH protein was obtained through Ni 2+ affinity chromatography, which is consistent with the theoretical molecular weight. TpOmpH protein can induce mice to secrete polyclonal antibodies with antibody titers higher than 1∶10 000. Conclusion:TpOmpH protein is a hydrophobic protein located on the outer membrane of Tp, can induce mice to secrete high titer antibodies, which providing experimental basis for the pathogenesis of Tp and vaccine development.

OBJECTIVE T o carry out the health economics evaluation and cost-benefit analysis of the type b Hae-mophilus influenzae(Hib)vaccination for the children who were hospitalized due to Hib infection so as to provide evidence for public health policies.METHODS The children who were diagnosed with Hib-related respiratory tract infections or meningitis and were hospitalized in respiratory medicine department,infection management depart-ment,emergency rooms and neurology department of Jiangxi Provincial Children's Hospital from Jan.1,2021 to Dec.31,2023 were recruited as the research subjects.Based on a 1∶1 matching condition,the matching variables included four items such as the same age for the admission to the hospital,same gender,same department and same grade of disease severity.The children for whom the primary immunization of Hib vaccination(including Hib monovalent vaccine and Hib-containing combination vaccine)were completed and the integrity of vaccination infor-mation could be checked out were assigned as the intervention group,while the children for whom the primary im-munization of Hib vaccination was not completed were chosen as the control group.The clinical data,vaccination data and the data such as length of hospital stay and hospitalization cost were collected from the children.The cost-benefit of the Hib vaccination among the children with Hib infection was observed.RESULTS A total of 622 hospi-talized children who were detected with Hib-positive respiratory tract infections or meningitis were enrolled in the study,and 73 children(20 children from infection management department,27 children from respiratory medi-cine department,26 children from emergency rooms)were finally included in the intervention group after matc-hing and multiple rounds of screening,73 children were chosen as the control group based on a 1∶1 matching con-dition.The male children accounted for 57.53％(42 cases)in both groups,and the female children accounted for 42.47％(31 cases)in both groups.With the respect to the length of hospital stay,it was 7.00(5.00,8.00)days in the intervention group,7.00(6.00,8.00)days in the control group(Z=-0.341,P=0.733).In terms of the hospitalization cost,it was 7 756.17(6 617.92,10 617.69)yuan in the intervention group,9 040.65(8 033.76,10 935.84)yuan in the control group(Z=-2.795,P=0.005).The cost of Hib vaccination was 343.03 yuan per capita in the intervention group,and the benefit-cost ratio(BCR)was 1∶3.74(343.03 yuan/1 284.48 yuan).CONCLUSIONS The Hib vaccination can save the hospitalization cost and has high cost effectiveness.It is sugges-ted that the Hib vaccination should be promoted and the coverage rate of Hib vaccination should be raised among the age-eligible children.