Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Objective To analyze the influencing factors of survival of patients with airway stenosis requiring clinical interventions after lung transplantation. Methods Clinical data of 66 patients with airway stenosis requiring clinical interventions after lung transplantation were retrospectively analyzed. Univariate and multivariate Cox’s regression models were adopted to analyze the influencing factors of survival of all patients with airway stenosis and those with early airway stenosis. Kaplan-Meier method was used to calculate the overall survival and delineate the survival curve. Results For 66 patients with airway stenosis, the median airway stenosis-free time was 72 (52,102) d, 27% (18/66) for central airway stenosis and 73% (48/66) for distal airway stenosis. Postoperative mechanical ventilation time [hazard ratio (HR) 1.037, 95% confidence interval (CI) 1.005-1.070, P=0.024] and type of surgery (HR 0.400, 95%CI 0.177-0.903, P=0.027) were correlated with the survival of patients with airway stenosis after lung transplantation. The longer the postoperative mechanical ventilation time, the higher the risk of mortality of the recipients. The overall survival of airway stenosis recipients undergoing bilateral lung transplantation was better than that of their counterparts after single lung transplantation. Subgroup analysis showed that grade 3 primary graft dysfunction (PGD) (HR 4.577, 95%CI 1.439-14.555, P=0.010) and immunosuppressive drugs (HR 0.079, 95%CI 0.022-0.287, P<0.001) were associated with the survival of patients with early airway stenosis after lung transplantation. The overall survival of patients with early airway stenosis after lung transplantation without grade 3 PGD was better compared with that of those with grade 3 PGD. The overall survival of patients with early airway stenosis after lung transplantation treated with tacrolimus was superior to that of their counterparts treated with cyclosporine. Conclusions Long postoperative mechanical ventilation time, single lung transplantation, grade 3 PGD and use of cyclosporine may affect the survival of patients with airway stenosis after lung transplantation.

Objective: To analyze the strengths, weaknesses, opportunities and threats of the construction on intelligent vaccination clinics in Zhejiang Province, so as to provide countermeasures for promoting the construction of intelligent vaccination clinics in Zhejiang Province. Methods: By reviewing the annual reports of Zhejiang immunization planning, survey data from Zhejiang Centers for Disease Control and Prevention and Immunization Intelligent Service System, data of human resources of immunization planning, vaccine procurement, construction progress of intelligent vaccination clinics and vaccination were collected. The relevant literature was searched to gather information on the construction standards and norms of intelligent vaccination clinics. The analysis of the strengths, weaknesses, opportunities and threats (SWOT) of the construction of intelligent vaccination clinics was conducted, and corresponding countermeasures and suggestions were proposed. Results: The National Immunization Program reported vaccine rate in Zhejiang Province is more than 99%, and standardized vaccination clinics have been popularized throughout the province. The vaccination staff are professional, and a province-wide intelligent immunization service information system has been established, providing the resources and conditions for the construction of intelligent vaccination clinics. However, there are problems such as low data quality and matching efficiency in vaccination, insufficient data interoperability and sharing, unbalanced regional capabilities in intelligent transformation, and uneven distribution of talent and resources. It is crucial to seize the opportunities presented by the development of big data and artificial intelligence, rely on the regional development of the Internet and health industry, seize the opportunity of rapid growth in demand for intelligent vaccination services and high public acceptance, accelerate the construction of intelligent vaccination clinics, and establish intelligent vaccination service standards as soon as possible. Conclusion We should seize the opportunities presented by the digital reform and development, fully utilize the existing vaccination resources and strengths, address the shortcomings, and accelerate the construction of intelligent vaccination clinics in Zhejiang Province.

OBJECTIVE To provide reference for constructing scientific and reasonable pharmaceutical service mode for hospitalized patients with chronic airway diseases. METHODS From October 2023 to March 2024， 250 patients with chronic obstructive pulmonary disease and acute exacerbation of asthma who were hospitalized in the respiratory department of Hebei General Hospital and received pharmaceutical care （PC） were randomly divided into control group （125 cases） and observation group （125 cases）. The control group received general pharmaceutical services throughout their hospitalization， while the observation group received standardized and graded pharmaceutical services throughout their hospitalization. The differences in clinical value indicators， humanistic value indicators， and quality management indicators were compared among different PC service models. RESULTS Among clinical value evaluation indicators， the observation group had better achievement rate of disease treatment goals， correct use score of inhalation devices， the incidence of adverse drug reactions， and the number of drug-related problems solved than the control group （P＜0.05）. Among the humanistic evaluation indicators， compared with the control group， the observation group had better medication compliance scores， pharmacist intervention success rates， and patient satisfaction scores （P＜0.05）. Among quality management evaluation indicators， the proportion of drug costs， the proportion of intravenous medication， the use rate of antibiotics， the intensity of antibiotic use， and the number of pharmaceutical services in the observation group were significantly better than the control group （P＜0.05）. CONCLUSIONS Standardized and graded pharmaceutical care services have improved the efficiency of pharmacists and service effectiveness， making it a new pharmaceutical service model worth promoting.

Objective:To evaluate the epidemiological characteristics and explore the associated factors of breakthrough cases (BC) from Public Health Emergency Events (PHEEs) of varicella in Zhejiang Province from 2019 to 2022.Methods:Data on cases were obtained from the China Information System for Disease Control and Prevention and the PHEEs Reporting Information Database of Varicella in Zhejiang Province. History records were matched through the Zhejiang Provincial Immunization Information System. Descriptive analysis and multiple logistic regression model with a bidirectional stepwise selection method were performed to explore associated factors for BC during 2019-2022.Results:A total of 144 276 varicella cases were reported from 2019 to 2022, with the annual reported incidence of 47.35-82.80 cases per 100 000 population. Among these cases, 109 172 were non-breakthrough cases (NBC, accounting for 75.67%), 34 517 were BC (23.92%), and the rest 587 cases had unclear vaccination history on varicella (0.41%). A total of 214 PHEEs of varicella were reported, of which 99.07% occurred in school settings. The proportion of PHEEs that occurred in high school increased significantly as time went on ( χ2trend=5.742, P=0.017). Multiple logistic regression model which focused on "BC vs. NBC (as the reference)" indicated that the year of onset ( OR=1.585, 95% CI:1.343-1.878), the month of onset (taking January as the reference, OR=2.311-15.652), city (taking Hangzhou as the reference, Jiaxing OR=2.370, Jinhua OR=2.197, Lishui OR=0.134), age ( OR=0.887, 95% CI: 0.826-0.944), PHEEs setting (taking "primary school and below" as the reference, "high school and above" OR=0.516, 95% CI: 0.305-0.897), and the number of rashes ( OR=0.569, 95% CI: 0.458-0.703) were associated factors. Multiple logistic regression model which focused on "two-dose BC vs. one-dose BC (as the reference)" showed that the age of initial vaccination ( OR=0.045, 95% CI: 0.014-0.107), the time interval from onset to the last dose ( OR=0.037, 95% CI: 0.011-0.087) and the age of onset ( OR=20.724, 95% CI: 8.383-72.485) were associated factors. Conclusion:During 2019-2022, the reported high-risk group of varicella in Zhejiang Province has shifted to adolescents and young adults. Although vaccination could not completely prevent the onset of VZV, it could relieve clinical symptoms and delay the age of onset.

Objective:To evaluate the epidemiological characteristics and explore the associated factors of breakthrough cases (BC) from Public Health Emergency Events (PHEEs) of varicella in Zhejiang Province from 2019 to 2022.Methods:Data on cases were obtained from the China Information System for Disease Control and Prevention and the PHEEs Reporting Information Database of Varicella in Zhejiang Province. History records were matched through the Zhejiang Provincial Immunization Information System. Descriptive analysis and multiple logistic regression model with a bidirectional stepwise selection method were performed to explore associated factors for BC during 2019-2022.Results:A total of 144 276 varicella cases were reported from 2019 to 2022, with the annual reported incidence of 47.35-82.80 cases per 100 000 population. Among these cases, 109 172 were non-breakthrough cases (NBC, accounting for 75.67%), 34 517 were BC (23.92%), and the rest 587 cases had unclear vaccination history on varicella (0.41%). A total of 214 PHEEs of varicella were reported, of which 99.07% occurred in school settings. The proportion of PHEEs that occurred in high school increased significantly as time went on ( χ2trend=5.742, P=0.017). Multiple logistic regression model which focused on "BC vs. NBC (as the reference)" indicated that the year of onset ( OR=1.585, 95% CI:1.343-1.878), the month of onset (taking January as the reference, OR=2.311-15.652), city (taking Hangzhou as the reference, Jiaxing OR=2.370, Jinhua OR=2.197, Lishui OR=0.134), age ( OR=0.887, 95% CI: 0.826-0.944), PHEEs setting (taking "primary school and below" as the reference, "high school and above" OR=0.516, 95% CI: 0.305-0.897), and the number of rashes ( OR=0.569, 95% CI: 0.458-0.703) were associated factors. Multiple logistic regression model which focused on "two-dose BC vs. one-dose BC (as the reference)" showed that the age of initial vaccination ( OR=0.045, 95% CI: 0.014-0.107), the time interval from onset to the last dose ( OR=0.037, 95% CI: 0.011-0.087) and the age of onset ( OR=20.724, 95% CI: 8.383-72.485) were associated factors. Conclusion:During 2019-2022, the reported high-risk group of varicella in Zhejiang Province has shifted to adolescents and young adults. Although vaccination could not completely prevent the onset of VZV, it could relieve clinical symptoms and delay the age of onset.

Objective To investigate the effect of Galangin on pyroptosis of bone marrow derived macrophages(BMDMs).Methods BMDMs were cultured in vitro and divided into blank control group,model group and Galangin group with different concentrations.Lipopolysaccharide(LPS)and adenosine triphosphate(ATP)were used to construct the pyroptosis model.The effect of different concentrations of Galangin on the proliferation of BMDMs was detected by cell counting Kit-8(CCK-8).The level of cysteinyl aspartate specific proteinase-1 p10 subunit(caspase-1 p10),interleukin-1β(IL-1β)in supernatant and intracellular nucleotide NOD-like receptor protein 3(NLRP3)were detected by Western blotting.IL-1β in supernatant was detected by enzyme-linked immunosorbent assay(ELISA).The cell death was observed by propidium iodide(PI)staining.High-throughput sequencing was used to compare the gene expression in the model group and Galangin groups at 20 μmol/L.Results There was no statistically significant difference between the 5,10,20,40,60,80 μmol/L Galangin groups on the proliferation level of BMDMs(all P>0.05),indicating that no significant effect of Galangin at 5,10,20,40,60,80 μmol/L was observed on the proliferation of BMDMs.So we selected Galangin at 5,10,20 μmol/L and treatment for 1,2 and 4 hours as the effects of different concentrations and time on the pyroptosis of BMDMs.Compared with blank control group,the expression of caspase-1 p10 and mature IL-1β protein and IL-1β in supernatant in model group were significantly increased(all P<0.05).Compared with model group,the expression of caspase-1 p10 and mature IL-1β protein and IL-1β in supernatant of Galangin at 5,10 and 20 μmol/L were significantly decreased[IL-1β protein expression(gray value):0.155±0.006,0.113±0.006,0.111±0.007 vs.1.000±0.000,caspase-1 p10 protein expression(gray value):0.207±0.044,0.160±0.008,0.082±0.008 vs.1.000±0.000,IL-1β(μg/L):99.80±10.36,85.21±8.78,26.53±4.56 vs.494.10±35.47,all P<0.05].There was no significant difference between the different concentration groups(all P>0.05),but with the extension of treatment time of Galangin,the inhibitory effect was enhanced.The inhibitory effect of Galangin at 20 μmol/L for 4 hours was the most obvious[IL-1β protein expression(gray value):0.186±0.004 vs.1.000±0.000,caspase-1 p10 protein expression(gray value):0.247±0.009 vs.1.000±0.000,IL-1β(μg/L):173.80±10.56 vs.653.80±76.02,all P<0.05].Treatment with 20 μmol/L Galangin for 4 hours could reduce the number of pyroptotic cell deaths(number of view:23.00±3.61 vs.67.67±15.63,P<0.05)and inhibited the expression of NLRP3 protein(gray value:0.178±0.025 vs.0.406±0.066,P<0.05).High-throughput sequencing showed that,compared with the model group,Galangin down-regulated the genes of Nlrp3,Nod2,IL-1β and up-regulated genes of Skp2(also known as Fbxl1),Fbxl20,Fbxl4,Fbxo32 and Fbxw7.Conclusion Galangin inhibited pyroptosis mediated by NLRP3 inflammasome in macrophages.

OBJECTIVE: To analyze the composition and metabolites of gut microbiota in septic rats by fecal 16s rRNA sequencing and untargeted metabolomics, and to preliminarily explore the effect and potential mechanism of gut microbiota and its metabolites on inflammatory response and multiple organ damage in sepsis. METHODS: Ten males healthy male Wistar rats were randomly divided into a sham operated group (Sham group) and sepsis model group (CLP group) using a random number table method, with 5 rats in each group. A rat sepsis model was established by cecal ligation and perforation (CLP) method. The animals were sacrificed 24 hours after modeling, the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in peripheral blood were detected by enzyme-linked immunosorbent assay (ELISA). Hematoxylin-eosin (HE) staining was used to observe the pathological changes of lung and kidney tissues, and the pathological scores were evaluated. Fecal samples were collected, and 16s rRNA high-throughput sequencing and non-targeted metabolomics were used to screen microbiota, metabolites and potential signal pathways that may play an important role in disease outcomes. Spearman correlation analysis was conducted to jointly analyze the gut microbiota and non-targeted metabolism. RESULTS: Compared with the Sham group, the degree of pathological damage to lung and kidney tissues in the CLP group was significantly increased (lung tissue score: 3.60±0.80 vs. 0.00±0.00, kidney tissue score: 2.40±0.80 vs. 0.00±0.00, both P < 0.01), the level of IL-6 and TNF-α in peripheral blood significantly increased [TNF-α (ng/L): 248.12±55.98 vs. 143.28±36.57, IL-6 (ng/L): 260.26±39.47 vs. 116.01±26.43, both P < 0.05], the species diversity of intestinal flora of rats in the CLP group was significantly reduced, the relative abundance of Morganella, Bacteroides and Escherichia-Shigella were significantly increased, and the relative abundance of Lachnospiraceae NK4A136, Ruminococcus, Romboutsia and Roseburia were significantly reduced. In addition, the biosynthesis and bile secretion of phenylalanine, tyrosine, and tryptophan in the gut microbiota of the CLP group were significantly increased, while the biosynthesis of secondary bile acids was significantly reduced. There was a significant correlation between differential metabolites and differential microbiota. CONCLUSIONS Sepsis can cause significant changes in the characteristics of gut microbiota and fecal metabolites in rats, which provides a basis for translational research to seek new targets for the treatment of sepsis.
Rats ; Male ; Animals ; Tumor Necrosis Factor-alpha ; RNA, Ribosomal, 16S ; Gastrointestinal Microbiome ; Interleukin-6 ; Rats, Wistar ; Sepsis

Objective:The decision tree Chi-square automatic interactive detection (CHAID) algorithm and binary Logistic regression analysis were used to construct the risk prediction model of premature ovarian failure (POF) in patients with uterine fibroids complicated with hypertension after surgery, and the results of the risk prediction model were compared and analyzed.Methods:Patients with uterine fibroids complicated with hypertension admitted to Taizhou Hospital of Zhejiang Province from Jan. 2019 to Sep. 2022 were retrospectively analyzed as the research objects. CHAID algorithm and Logistic regression analysis were used to establish risk prediction models, respectively. The area under the curve (AUC) of receiver operating characteristic curve (ROC) was used to compare and evaluate the prediction effects of the two models.Results:A total of 860 patients were collected, including 56 patients with premature ovarian function failure after operation, and the incidence of premature ovarian function failure was 6.51%. CHAID method and Logistic regression analysis showed that uterine myoma surgery, hypertension, smoking or passive smoking, family history of premature ovarian failure, sleep status, physical exercise and history of induced curettage were important influencing factors of premature ovarian failure. The accuracy of risk prediction of decision tree model was 88.2%, and the fitting effect of the model was good. The Logistic regression model Hosmer-Leme-show goodness of fit test showed that the model fit was good. The AUC of Logistic regression model was 0.893 (95% CI: 0.862-0.899), and the AUC of decision tree model was 0.882 (95% CI: 0.856-0.899). The predictive value of the two models was moderate, and there was no significant difference between them ( Z=0.254, P>0.05) . Conclusions:The combination of decision tree and Logistic regression model can find the influencing factors of premature ovarian function failure in patients with uterine fibroids complicated with hypertension after operation from different levels, and the relationship between the factors can be more fully understood. The establishment of a risk model for premature ovarian function failure in patients with uterine fibroids complicated with hypertension after surgery can provide a reference for postoperative intervention in patients with uterine fibroids complicated with hypertension, and more effectively help patients actively prevent and slow down the occurrence and development of POF.

Objective:To investigate the effect of Liangxue Huoxue decoction on intestinal flora, intestinal barrier and NOD-like receptor protein 3 (NLRP3)/caspase-1/gasdermin D (GSDMD) pyroptosis signaling pathway in mice model of sepsis-induced acute kidney injury (AKI).Methods:The model of AKI was established by cecal ligation and perforation (CLP). Thirty male C57BL/6 mice were randomly divided into sham operation group (Sham group), sepsis group (CLP group) and sepsis+Liangxue Huoxue decoction (CLP+LXHX group), with 10 mice in each group. Mice in Sham group only underwent laparotomy. Two hours before model establishment, mice in CLP+LXHX group were treated with Liangxue Huoxue decoction (6 g/kg) by gavage; mice in Sham group and CLP group were given equal volume of normal saline by gavages. After 24 hours of modeling, all mice were sacrificed under anesthesia, and the colon and kidney tissues and fresh feces in the colon were taken. The pathological changes of kidney and colon were observed by hematoxylin-eosin (HE) staining under light microscope. Real-time polymerase chain reaction (RT-PCR) was used to detect inflammatory factors (interleukins, IL-1β and IL-18) in renal tissue. The expressions of NLRP3, caspase-1 and GSDMD were detected by Western blotting. The changes of intestinal flora in mice were detected by 16S rDNA high-throughput sequencing.Results:Compared with the Sham group, the inflammatory cell infiltration of the kidney tissue was increased and the kidney became vacuolated in CLP group, the mRNA expressions of IL-1β, IL-18, and the protein expressions of NLRP3, caspase-1 and GSDMD were significantly increased in CLP group, the species richness of intestinal microflora decreased significantly, the relative abundance of Enterococcus and Escherichia-Shigella increased significantly, and the relative abundance of Ileibacterium, Alloprevotella, Lachnospiraceae, Klebsiella and Parasutterella increased significantly in CLP group. Compared with CLP group, Liangxue Huoxue decoction can significantly reduce the pathological changes of kidney and colon tissue, reduce the pathological score (1.75±0.43 vs. 3.50±0.50 for kidney tissue, 1.25±0.43 vs. 4.50±0.50 for colon tissue, both P < 0.05), improve the composition of intestinal flora, reduce the relative abundance of Enterococcus and Escherichia-Shigella, and significantly increase the relative abundance of Lactobacillus and Akkermansia. In addition, Liangxue Huoxue decoction can significantly reduce mRNA expressions of IL-1β and IL-18 in kidney tissue [IL-1β mRNA (2 -ΔΔCt): 1.59±0.05 vs. 4.61±0.88, IL-18 mRNA (2 -ΔΔCt): 1.69±0.17 vs. 2.86±0.63, both P < 0.05] and the protein expressions of NLRP3, caspase-1 and GSDMD (NLRP3/GAPDH: 0.71±0.04 vs. 0.89±0.01, caspase-1/GAPDH: 1.04±0.04 vs. 1.48±0.04, GSDMD/GAPDH: 0.90±0.01 vs. 1.41±0.02, all P < 0.05). Conclusions:Liangxue Huoxue decoction has obvious protective effect on AKI induced by sepsis. It can improve intestinal barrier by regulating intestinal flora, thereby inhibiting the activation of NLRP3/caspase-1/GSDMD signaling pathway in kidney tissue and reducing the expression of proptosis-related inflammatory factors.