Objective To analyze the influencing factors of plastic bronchitis in children with Mycoplasma pneumoniae infection and put forward targeted prevention suggestions. Methods The clinical data of children with Mycoplasma pneumoniae infection who were admitted to Chengdu Third People's Hospital from September 2022 to February 2024 were retrospectively analyzed . According to whether plastic bronchitis occurred, they were divided into plastic group (n=118) and non-plastic group (n=184), and the differences between the two groups were compared and analyzed. Univariate and multivariate logistics regression analysis equations were used to analyze the independent influencing factors of plastic bronchitis in children with mycoplasma pneumoniae infection. Results Among the 302 children with Mycoplasma pneumoniae infection , 118 cases were diagnosed with plastic bronchitis. Analysis showed that the children’s age, duration of fever, hospital stay, pleural effusion rate, number of bronchoscopic lavage, allergy history, endoscopic mucosal erosion rate, WBC, NE%, LY%, CRP, LDH, PCT and D-D were the single factors influencing the occurrence of plastic bronchitis in children with mycoplasma pneumoniae infection. Binary logistics regression analysis revealed that age (OR=2.137, P=0.033, 95% CI: 1.132-16.603), allergy history （OR=3.028, P=0.014, 95% CI: 1.261-864), NE% (OR=2.395, P=0.031, 95% CI: 1.087-5.274), CRP (OR=3.864, P=0.004, 95% CI: 1.563-3.864), PCT (OR=4.125, P=0.001, 95% CI: 1.793-3.864), and D-D (OR=3.920, P=0.002, 95% CI: 1.632-3.864) were independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection (P<0.05). Conclusion Age, allergy history, NE%, CRP, PCT and D-D are independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection . It is necessary to take clinical intervention measures to reduce the occurrence risk.

To develop a novel polyamino acid-based nanohydrogel drug delivery system for dexamethasone to enhance its delivery efficiency to the inner ear.

Objective: To explore the associations between caregivers nutrition literacy and pediatric nonalcoholic fatty liver disease (NAFLD), so as to provide scientific evidence for the key contents of family intervention measures. Methods: In September 2022, a study involving 1 609 thirdgrade students and their caregivers from six schools in Yinzhou, Haishu, and Zhenhai Districts of Ningbo City, Zhejiang Province, was conducted. Venous blood samples were collected to measure lipid profiles and investigate the prevalence of nonalcoholic fatty liver disease (NAFLD) among the children. Family Food Environment Questionnaire was used to assess the nutrition literacy levels of the caregivers. Generalized linear regression analysis was employed to explore the correlation between caregivers nutrition literacy levels and the prevalence of NAFLD in children. Results: Among the surveyed students, 191 were in the NAFLD group, whereas 1 418 were in the nonNAFLD group. The median nutrition literacy score of caregivers in the NAFLD group and nonNAFLD group all were 11.00 (9.00,12.00), which was not significantly different (Z=-0.40, P=0.71). The generalized linear regression results revealed that the level of nutrition literacy of caregivers had no significant effect on childrens Triglyceride-glucose (TyG) index and Triglyceride-glucose-Waisttoheight ratio (TyG-WHtR) [β(95%CI) were 0.001(-0.005-0.006) and 0.000(-0.014-0.014), P>0.05]. Conclusions The nutrition literacy level of caregivers has no significant correlation with the direct incidence of NAFLD in children. As for family intervention measures, it is necessary not only to improve the nutrition literacy level of caregivers but also to effectively apply nutritional knowledge in practice to optimize health management.

Traditional Chinese medicines (TCMs) possess a rich historical background, unique theoretical framework, remarkable therapeutic efficacy, and abundant resources. However, the modernization and internationalization of TCMs have faced significant obstacles due to their diverse ingredients and unknown mechanisms. To gain deeper insights into the phytochemicals and ensure the quality control of TCMs, there is an urgent need to enhance analytical techniques. Currently, two-dimensional (2D) chromatography, which incorporates two independent separation mechanisms, demonstrates superior separation capabilities compared to the traditional one-dimensional (1D) separation system when analyzing TCMs samples. Over the past decade, new techniques have been continuously developed to gain actionable insights from complex samples. This review presents the recent advancements in the application of multidimensional chromatography for the quality evaluation of TCMs, encompassing 2D-gas chromatography (GC), 2D-liquid chromatography (LC), as well as emerging three-dimensional (3D)-GC, 3D-LC, and their associated data-processing approaches. These studies highlight the promising potential of multidimensional chromatographic separation for future phytochemical analysis. Nevertheless, the increased separation capability has resulted in higher-order data sets and greater demands for data-processing tools. Considering that multidimensional chromatography is still a relatively nascent research field, further hardware enhancements and the implementation of chemometric methods are necessary to foster its robust development.

ObjectiveTo investigate the mechanism of anti-pulmonary fibrosis of cannabidiol by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. MethodSD rats were randomly divided into blank group， model group， prednisone group（3.15 mg·kg^-1） and cannabidiol low， medium and high dose groups（12， 36， 108 mg·kg^-1）， with 8 rats in each group. The rat model of pulmonary fibrosis was established by intratracheal injection of bleomycin（5 mg·kg^-1）， which was administered continuously for 28 days after successful modeling. The pathological changes of rat lung tissue were observed， and enzyme-linked immunosorbent assay（ELISA） was used to detect the expression levels of matrix metalloproteinase-7（MMP-7）， type Ⅱ alveolar cell surface antigen（KL-6）， pulmonary surfactant-associated protein A（SP-A） and SP-D in serum. The expression levels of type Ⅰ collagen（Col-Ⅰ） and fibronectin（FN） in lung tissues were detected by immunohistochemistry， and the expression of mucin 5 subtype AC（MUC5AC） was detected by immunofluorescence. UPLC-Q-TOF-MS was used to search for potential biomarkers and related metabolic pathways of cannabidiol in treating pulmonary fibrosis. ResultCompared with the blank group， there were a large number of inflammatory cell infiltration and continuous fibrosis lesions in the lung tissue of rats in the model group. Compared with the model group， the inflammatory infiltration and blue collagen deposition in the lung tissue of rats in the prednisone and cannabidiol groups were reduced. Compared with the blank group， the expressions of MMP-7， KL-6， SP-A and SP-D in serum of the model group were significantly increased（P<0.01）， while the expressions of MMP-7， KL-6， SP-A and SP-D in the prednisone and cannabidiol high dose groups were significantly decreased by comparing with the model group（P<0.05， P<0.01）. Compared with the blank group， the expression levels of Col-Ⅰ and FN in the lung tissues of the model group were significantly increased， and the fluorescence intensity of MUC5AC was significantly increased（P<0.01）. Compared with the model group， the expression levels of Col-Ⅰ and FN in the lung tissues of the prednisone and cannabidiol high dose groups were significantly decreased（P<0.05， P<0.01）， and the expression of MUC5AC was significantly decreased（P<0.01）. Compared with the blank group， a total of 18 differential compounds were screened out in the model group， which could be used as potential biomarkers， and cannabidiol could call back 16 of them， mainly involving 4 metabolic pathways（linoleic acid metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， arachidonic acid metabolism， and niacin and niacinamide metabolism）. Compared with the blank group， the relative contents of potential biomarkers arachidonic acid and linoleic acid were significantly increased in the model group（P<0.05， P<0.01）， while the relative contents of 5，6-EET， L-tyrosine and niacinamide were significantly decreased（P<0.01）. Compared with the model group， cannabidiol could significantly reduce the relative contents of arachidonic acid and linoleic acid， and significantly increase the relative contents of 5，6-EET， L-tyrosine and niacinamide（P<0.01）. ConclusionCannabidiol has an intervention and remission effect on pulmonary fibrosis， and its mechanism may be related to linoleic acid metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， arachidonic acid metabolism， niacin and niacinamide metabolism.

OBJECTIVE To construct a risk prediction model for bloodstream infection （BSI） induced by carbapenem-resistant Klebsiella pneumoniae （CRKP）. METHODS Retrospective analysis was conducted for clinical data from 253 patients with BSI induced by K. pneumoniae in the First Hospital of Qinhuangdao from January 2019 to June 2022. Patients admitted from January 2019 to December 2021 were selected as the model group （n＝223）， and patients admitted from January 2022 to June 2022 were selected as the validation group （n＝30）. The model group was divided into the CRKP subgroup （n＝56） and the carbapenem- sensitive K. pneumoniae （CSKP） subgroup （n＝167） based on whether CRKP was detected or not. The univariate and multivariate Logistic analyses were performed on basic information such as gender， age and comorbid underlying diseases in two subgroups of patients； independent risk factors were screened for CRKP-induced BSI， and a risk prediction model was constructed. The established model was verified with patients in the validation group as the target. RESULTS Admissioning to intensive care unit （ICU）， use of immunosuppressants， empirical use of carbapenems and empirical use of antibiotics against Gram-positive coccus were independent risk factors of CRKP-induced BSI （ORs were 3.749， 3.074， 2.909， 9.419， 95%CIs were 1.639-8.572， 1.292- 7.312， 1.180-7.717， 2.877-30.840， P＜0.05）. Based on this， a risk prediction model was established with a P value of 0.365. The AUC of the receiver operating characteristic （ROC） curve of the model was 0.848 [95%CI （0.779， 0.916）， P＜0.001]， and the critical score was 6.5. In the validation group， the overall accuracy of the prediction under the model was 86.67%， and the AUC of ROC curve was 0.926 [95%CI （0.809， 1.000]， P＜0.001]. CONCLUSIONS Admission to ICU， use of immunosuppressants， empirical use of carbapenems and empirical use of antibiotics against Gram-positive coccus are independent risk factors of CRKP- induced BSI. The CRKP-induced BSI risk prediction model based on the above factors has good prediction accuracy.

Objective To investigate the value of thrombomodulin(TM),thrombin-antithrombin complex(TAT),α2 plasmin inhibitor-plasmin complex(PIC)and tissue plasminogen activator-inhibitor complex(t-PAIC)in the diagnosis and prognosis of neonatal disseminated intravascular coagulation(DIC).Methods Eighty-seven DIC neonates(the observation group)were included and divided into the survival group(66 cases)and the death group(21 cases)based on their outcomes at discharge.And 50 healthy newborns born in the same period were selected as the control group.The clinical data of neonates were collected,and risk factors of neonatal DIC were analyzed by Logistic regression.The differences of TM,TAT,PIC and t-PAIC levels in different groups were analyzed.The receiver operating characteristic(ROC)curve was used to analyze values of TM,TAT,PIC and t-PAIC in the diagnosis and prognosis of neonatal DIC.Results The incidence of low Apgar score,birth asphyxia,IVH,sepsis and maternal pregnancy induced hypertension syndrome(PIH)were higher in the observation group than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that low Apgar score,birth asphyxia,sepsis and PIH were independent risk factors for neonatal DIC.TM,TAT,PIC and t-PAIC levels were higher in the observation group than those in the control group(P＜0.05).ROC curve showed that the combined diagnosis value of TM,TAT,PIC and t-PAIC was better than that of single diagnosis of neonatal DIC.TM and TAT levels were higher in the death group than those in the survival group(P＜0.05),and there were no significant differences in PIC and t-PAIC levels between the two groups.Multivariate Logistic regression analysis showed that elevated TAT level was an independent risk factor for neonatal DIC prognosis.ROC curve showed that when TAT was 21.72 μg/L,the area under the curve for predicting neonatal DIC prognosis was 0.772(95%CI:0.666-0.878),and the sensitivity and specificity were 76.2%and 71.2%,respectively.Conclusion The combined application of TM,TAT,PIC and t-PAIC has important clinical value in diagnosis and prognosis evaluation of neonatal DIC.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To investigate the risk factors of postoperative recurrence in patients with primary brain glioma and to construct a prediction model.Methods:A total of 98 patients with primary brain glioma treated by radical surgery in Nanchong Central Hospital from January 2018 to January 2021 were retrospectively included, and were divided into recurrent group (40 cases) and non-recurrent group (58 cases) according to whether there was recurrence or not during the follow-up period. The independent influencing factors for postoperative recurrence in patients with primary brain glioma were evaluated by multivariate logistic regression. Logistic prediction model of postoperative recurrence risk of patients with primary brain glioma was established, and the predictive efficacy of each index was calculated by receiver operator characteristic (ROC) curve.Results:There were statistically significant differences between recurrent group and non-recurrent group in glioma World Health Organization (WHO) grade ( χ2=12.48, P<0.001), isocitrate dehydrogenase (IDH) 1/2 mutation ( χ2=13.24, P<0.001), mean platelet volume (MPV) ( t=5.34, P<0.001), and MPV/platelet count (PLT) ( t=9.73, P<0.001). Multivariate analysis showed that WHO grade Ⅲ-Ⅳ ( OR=8.54, 95% CI: 1.62-44.99, P=0.011), IDH1/2 wild type ( OR=9.08, 95% CI: 1.68-49.19, P=0.010), low MPV ( OR=0.46, 95% CI: 0.21-0.99, P=0.048) and low MPV/PLT ( OR=0.02, 95% CI: 0.01-0.03, P<0.001) were independent risk factors for postoperative recurrence in patients with primary brain glioma. The logistic prediction model based on the above indicators was logit ( P) =11.78+2.15×WHO grade+2.21×IDH1/2 mutation situation-0.78×MPV-200.70×MPV/PLT ( R2=0.785). The ROC curve analysis results showed that WHO grade, IDH1/2 mutation, MPV, MPV/PLT, and logistic prediction model P-value could all be used to predict the risk of postoperative recurrence in patients with primary brain glioma; The areas under the curve were 0.681, 0.684, 0.783, 0.920 and 0.964, respectively. In the area under ROC curve comparison of each indicator, the predictive performance of the logistic regression model P-value was significantly higher than that of other indicators (all P<0.05) . Conclusion:Postoperative recurrence in patients with primary brain glioma may be related to glioma WHO grade, IDH1/2 mutation and platelet related laboratory indexes. The model constructed based on the above indicators can be used to predict the recurrence risk in patients with primary brain glioma after surgery.

Microglia, originating from primitive macrophages in the yolk sac, serves as both immune system defenders and regulators of homeostasis. These cells exhibit two primary polarization states: conventionally activated(M1)and alternatively activated(M2). The polarization of microglia plays a crucial role in influencing inflammatory disorders, metabolic imbalances, and neural degeneration. This process is implicated in various aspects of ocular diseases, especially age-related macular degeneration(AMD), including inflammation, oxidative stress and pathological angiogenesis. The distinct functional phenotypes of microglia impact disease progression and prognosis. Thus, regulating the polarization or functional phenotype of microglia at different stages of AMD holds promise for personalized therapeutic approaches. This comprehensive review outlines the involvement of microglia polarization in both physiological and pathological conditions, emphasizing its relevance in AMD. The discussion underscores the potential of polarization as a foundation for personalized treatment strategies for AMD.