OBJECTIVE: To explore the association between blood glucose trajectories within 7 days of intensive care unit (ICU) admission and mortality in patients with sepsis-associated acute respiratory distress syndrome (ARDS). METHODS: Based on the MIMIC-IV database, sepsis-associated ARDS patients with daily blood glucose monitoring data within 7 days of ICU admission were selected. Blood glucose trajectories were analyzed using group-based trajectory modeling (GBTM), and the optimal number of groups was determined based on the minimum Akaike information criterion (AIC), Bayesian information criterion (BIC), average posterior probability (AvePP), odds of correct classification (OCC), and proportion of group membership (Prop). Baseline characteristics including demographics, comorbidities, severity scores, vital signs, laboratory indicators within the first 24 hours of ICU admission, and treatments were collected. Kaplan-Meier survival curves were used to compare 28-day and 1-year survival across trajectory groups. Multivariate Logistic regression was performed to evaluate the associations between glucose trajectory groups and in-hospital mortality, ICU mortality. The incidence of hypoglycemia within 7 days in the ICU was analyzed among different groups. RESULTS: A total of 3 869 patients with sepsis-associated ARDS were included, with a median age of 63.52 (52.13, 73.54) years; 59.6% (2 304/3 869) were male. Based on glucose levels within 7 days, patients were categorized into three groups: persistent hyperglycemia group (glucose maintained at 10.6-13.1 mmol/L, n = 894), moderate glucose group (7.8-8.9 mmol/L, n = 1 452), and low-normal glucose group (6.1-7.0 mmol/L, n = 1 523). There were statistically significant differences in 28-day mortality and 1-year mortality among low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [28-day mortality: 11.42% (174/1 523), 19.83% (288/1 452), 25.50% (228/894), χ ² = 82.545, P < 0.001; 1-year mortality: 23.31% (355/1 523), 33.75% (490/1 452), 39.49% (353/894), χ ² = 77.376, P < 0.001]. Kaplan-Meier analysis showed that higher glucose trajectories were associated with significantly lower 28-day and 1-year cumulative survival rates (Log-rank test: χ ² were 83.221 and 85.022, both P < 0.001). There were statistically significant differences in in-hospital mortality and ICU mortality among the low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [in-hospital mortality: 9.65% (147/1 523), 19.70% (286/1 452), 24.50% (219/894), χ ² = 102.020, P < 0.001; ICU mortality: 7.22% (110/1 523), 16.05% (233/1 452), 20.13% (180/894), χ ² = 93.050, P < 0.001]. Logistic regression confirmed that, using the persistent hyperglycemia group as the reference, the low-normal glucose group had significantly lower risks of in-hospital mortality and ICU mortality after multiple factor adjustment. Although the moderate glucose group showed a trend toward lower mortality, the differences were not statistically significant. Using the moderate glucose group as a reference, the low-normal glucose group had 43.1% lower in-hospital mortality [odds ratio (OR) = 0.569, 95% confidence interval (95%CI) was 0.445-0.726, P < 0.001] and 42.0% lower ICU mortality (OR = 0.580, 95%CI was 0.439-0.762, P < 0.001). There was no statistically significant difference in the incidence of hypoglycemia within 7 days of ICU admission among low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [2.82% (43/1 523), 2.69% (39/1 452), 3.02% (27/894), χ ² = 0.226, P = 0.893]. CONCLUSIONS Blood glucose trajectories during ICU stay are closely associated with prognosis in patients with sepsis-associated ARDS. Persistent hyperglycemia (10.6-13.1 mmol/L) is linked to significantly higher short- and long-term mortality.
Humans ; Respiratory Distress Syndrome/etiology* ; Sepsis/blood* ; Intensive Care Units ; Male ; Female ; Middle Aged ; Blood Glucose/metabolism* ; Hospital Mortality ; Aged

Objective:To explore the effects of imperatorin(IMP)on airway remodeling in the bronchial asthma mice,and to elucidate the possible mechanisms.Methods:Forty SFP male BALB/c mice were randomly divided into control group,model group,low dose of IMP group(IMP-L group),high dose of IMP group(IMP-H group)and dexamethasone group,with 8 mice in each group.Except for contol group,the mice in the other groups were injected with an ovalbumin(OVA)suspension intraperitoneally to induce the asthma models.After one week,the daily asthma symptoms of the mice were observed and scored.After 8 weeks,the enhanced pause(Penh)values of the mice in various groups were detected to evaluate the airway reactivities.The percentages of eosinophils in the bronchoalveolar lavage fluid(BALF)of the mice in various groups were detected by flow cytometry.The levels of serum IgE,interleukin interferon-gamma(IL)-13,IL-5,IL-4 and interferon-gamma(IFN-γ)in BALF of the mice in various groups were measured by enzyme-linked immunosorbent assay(ELISA)method.HE,PAS and Masson staining were applied to observe the pathomorphology,the number of goblet cells and collagen deposition of the lung tissue of the mice in various groups.Immunohisto chemistry method was applied to detect the expressions of α-smooth muscle actin(α-SMA)and mouse mammary tumor virus(MMTV)wingless type MMTV intergration site family member 5A(Wnt5A)proteins in lung tissue of the mice in various groups.The expression levels of Wnt5A,cellular myelocytomatosis oncogene(c-Myc),β-catenin and α-SMA in lung tissue of the mice in various groups were detected by Western blotting method.The expression levels of α-SMA protein in lung tissue of the mice in various groups were detected by immunofluorescence method.Results:Compared with control group,the score of asthma symptoms of the mice in model group was increased(P<0.01);the Penh value was significantly increased(P<0.01);the serum IgE levels and the levels of IL-13,IL-5,IL-4 in BALF,as well as the percentage of eosinophils(EOS)in BALF were significantly increased(P<0.05 or P<0.01),and the level of IFN-γ was reduced(P<0.05);the expression levels of α-SMA and Wnt5A proteins in lung tissue were markedly increased(P<0.01);the expression levels of proteins associated with the Wnt/β-catenin signaling pathway in the lung tissue were significantly increased(P<0.01);the immofluorescence method results showed the expression level of α-SMA protein in lung tissue was significantly increased(P<0.01).Compared with model group,the scores of asthma symphtoms of the mice in IMP-L group,IMP-H group,and dexamethasone group were decereased(P<0.01),and the Penh values of the mice in IMP-H group were decreased(P<0.05);the serum IgE levels and the levels of IL-13,IL-5,IL-4 in BALF,as well as the percentages of EOS in BALF of the mice in IMP-L group,IMP-H group,and dexamethasone group were decreased(P<0.05 or P<0.01),and the levels of IFN-γ were increased(P<0.05);the expression levels α-SMA and Wnt5A proteins in lung tissue were decreased(P<0.05 or P<0.01);the expression levels of proteins related to the Wnt/β-catenin signaling pathway in the lung tissue were decreased(P<0.05 or P<0.01);the immunofluorescence method results showed that expression levels of the α-SMA protein in the lung tissue were reduced(P<0.05 or P<0.01).Conclusion:IMP has an improving effect on airway remodeling in the asthmatic mice and can inhibit the expression levels of Wnt/β-catenin pathway-related proteins.

Objective:To identify the factors influencing the diagnostic accuracy of endoscopic ultrasonography (EUS) for colorectal submucosal tumors (SMT).Methods:A retrospective analysis was conducted on 330 colorectal SMT lesions (from 323 patients) diagnosed by EUS at Shenzhen Hospital of Southern Medical University from December 2015 to October 2023. Pathological diagnosis were confirmed through endoscopic resection, EUS-guided fine needle aspiration (EUS-FNA) or surgical resection. Diagnostic accuracy was calculated for each type of colorectal SMT. Univariate and multivariate logistic regression analysis were performed to identify factors affecting EUS diagnostic accuracy.Results:The overall diagnostic accuracy of EUS for colorectal SMT was 73.6% (243/330). Among 19 SMT subtypes enrolled, neuroendocrine neoplasms (51.2%, 169/330) and lipomas (15.5%, 51/330) were most prevalent, while 17 rare subtypes each accounted for <6%. Seven rare SMT (mucosal chronic inflammation, colorectal schwannoma, xanthogranulomatous inflammation, capillary hemangioma, colonic xanthoma, lymphadenoid complex, and angiomyolipoma) showed 0% diagnostic accuracy. Seven other subtypes (granular cell tumor, leiomyoma, rectal tonsil, intestinal schistosomiasis, fibrous tissue hyperplasia, gastrointestinal stromal tumor, and lymphangioma) showed accuracy <30%, whereas five subtypes (cyst, bowel endometriosis, neuroendocrine neoplasm, lipoma, and pneumatosis cystoides intestinalis) achieved >60% accuracy. Multivariate logistic regression analysis confirmed that the lesion location (left colon VS rectum: OR=0.06, 95% CI: 0.02-0.17, P<0.001; right colon VS rectum: OR=0.04, 95% CI: 0.01-0.13, P<0.001; ileocecal valve VS rectum: OR=0.09, 95% CI: 0.02-0.42, P=0.002); echogenicity (anechoic VS hypoechoic: OR=6.26, 95% CI: 1.31-29.97, P=0.022; hyperechoic VS hypoechoic: OR=13.39, 95% CI: 4.16-43.09, P<0.001) and ultrasonic layer (layer 4 VS layer 3: OR=0.22, 95% CI: 0.06-0.81, P=0.023) were independent influencing factors of EUS diagnostic accuracy for colorectal SMT. Conclusion:Neuroendocrine neoplasms and lipomas represent the most common colorectal SMT, whereas rare and uncommon SMT exhibit low EUS diagnostic accuracy. Lesion location, echogenicity, and ultrasonic layer significantly influence EUS diagnostic accuracy for colorectal SMT.

Objective To develop and validate a nomogram risk prediction model for in-stent restenosis(ISR)in patients undergoing carotid artery stenting(CAS).Methods A retrospective analysis was conducted on the clinical data from 267 CAS patients.The dataset was randomly divided into training set(187 cases,for modeling)and test set(80 cases,for validation)in a 7∶3 ratio.Based on whether ISR occurred within one year after CAS,patients were divided into ISR and non-ISR groups.Univariate and multivariate logistic regression analyses were conducted on the training set to identify independent influencing factors and to construct a model.The model was then validated using samples from the test set.The model's discrimination was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC),while the calibration was evaluated using the Hosmer-Lemeshow test and calibration plots.Results ISR occurred in 46 out of 267 CAS patients(17.23％)within one year after surgery.Multivariate logistic regression analysis of the training set identified hypertension[odds ratio(OR)=2.730,95％confidence interval(CI)1.124-6.630],hyperlipidemia(OR=3.135,95％CI 1.293-7.599),preoperative calcified plaque(OR=3.485,95％CI 1.422-8.542),and residual stenosis(OR=5.440,95％CI 1.570-18.854)as significant predictors of ISR in patients with CAS within one year after surgery.The predictive model achieved an AUC of 0.798(9 5％CI 0.715-0.881),with a sensitivity of 73.5％,specificity of 75.8％,and accuracy of 75.4％.The AUC of external validation of the test set was 0.764(95％CI 0.599-0.929).Hosmer-Lemeshow test yielded x2=14.76,P=0.12,while calibration plots indicated high concordance between the predicted and actual outcomes in both the training set and the test set.Conclusion The nomogram risk prediction model for ISR in CAS patients within one year after surgery demonstrates good discrimination and calibration,provi-ding valuable insights for clinical assessment of ISR risk,control of ISR incidence and precision treatment planning.

Objective:To explore the mediating role of anxiety/depression emotions between sleep quality and cognitive function in adolescents with attention deficit hyperactivity disorder(ADHD).Methods:A cross-sectional study design was adopted, involving 204 ADHD adolescents aged 12-18 who were treated between January 2021 and November 2023.All participants were assessed using the Pittsburgh sleep quality index(PSQI)for sleep quality, the self-rating anxiety scale(SAS) and self-rating depression scale(SDS) for emotional states.Four cognitive information processing processes(planning, simultaneous processing, attention, and successive processing) were evaluated by the Das-Naglieri cognitive assessment system(DN: CAS). Data were statistically analyzed using SPSS 23.0 and Zstats software, including descriptive statistics, Spearman correlation analysis, and mediation effect analysis.Results:Among ADHD adolescents, girls exhibited significantly higher rates of sleep disturbance(71.59%(63/88) vs 43.97%(51/116), χ2=15.490, P<0.001)and depressive emotion(47.73%(42/88) vs 33.62%(39/116), χ2=4.159, P=0.041)compared to boys.High school students had a significantly higher rate of sleep disturbance than middle school students(64.84%(59/91) vs 48.67%(55/113), χ2=5.341, P=0.021). Spearman correlation analysis revealed that sleep quality(8.00(6.00, 11.00)) in ADHD adolescents was significantly and positively correlated with anxiety(38.00(32.00, 46.00); r=0.504, P<0.01) and depression(46.00(39.00, 54.00); r=0.427, P<0.01). And sleep quality, anxiety and depression were significantly and negatively correlated with the DN: CAS total score(109.5(91.25, 123.75); r=-0.158--0.237, P<0.05). Mediation analysis indicated that anxiety mediated the relationship between sleep quality and attention function(indirect effect β=-0.159, Bootstrap 95% CI=-0.287--0.046). Conclusion:ADHD adolescents exhibit complex interactions among sleep quality, emotion, and cognitive function, sleep quality indirectly affects attention function through anxiety.

Objective:To explore the mediating role of anxiety/depression emotions between sleep quality and cognitive function in adolescents with attention deficit hyperactivity disorder(ADHD).Methods:A cross-sectional study design was adopted, involving 204 ADHD adolescents aged 12-18 who were treated between January 2021 and November 2023.All participants were assessed using the Pittsburgh sleep quality index(PSQI)for sleep quality, the self-rating anxiety scale(SAS) and self-rating depression scale(SDS) for emotional states.Four cognitive information processing processes(planning, simultaneous processing, attention, and successive processing) were evaluated by the Das-Naglieri cognitive assessment system(DN: CAS). Data were statistically analyzed using SPSS 23.0 and Zstats software, including descriptive statistics, Spearman correlation analysis, and mediation effect analysis.Results:Among ADHD adolescents, girls exhibited significantly higher rates of sleep disturbance(71.59%(63/88) vs 43.97%(51/116), χ2=15.490, P<0.001)and depressive emotion(47.73%(42/88) vs 33.62%(39/116), χ2=4.159, P=0.041)compared to boys.High school students had a significantly higher rate of sleep disturbance than middle school students(64.84%(59/91) vs 48.67%(55/113), χ2=5.341, P=0.021). Spearman correlation analysis revealed that sleep quality(8.00(6.00, 11.00)) in ADHD adolescents was significantly and positively correlated with anxiety(38.00(32.00, 46.00); r=0.504, P<0.01) and depression(46.00(39.00, 54.00); r=0.427, P<0.01). And sleep quality, anxiety and depression were significantly and negatively correlated with the DN: CAS total score(109.5(91.25, 123.75); r=-0.158--0.237, P<0.05). Mediation analysis indicated that anxiety mediated the relationship between sleep quality and attention function(indirect effect β=-0.159, Bootstrap 95% CI=-0.287--0.046). Conclusion:ADHD adolescents exhibit complex interactions among sleep quality, emotion, and cognitive function, sleep quality indirectly affects attention function through anxiety.

Objective To develop and validate a nomogram risk prediction model for in-stent restenosis(ISR)in patients undergoing carotid artery stenting(CAS).Methods A retrospective analysis was conducted on the clinical data from 267 CAS patients.The dataset was randomly divided into training set(187 cases,for modeling)and test set(80 cases,for validation)in a 7∶3 ratio.Based on whether ISR occurred within one year after CAS,patients were divided into ISR and non-ISR groups.Univariate and multivariate logistic regression analyses were conducted on the training set to identify independent influencing factors and to construct a model.The model was then validated using samples from the test set.The model's discrimination was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC),while the calibration was evaluated using the Hosmer-Lemeshow test and calibration plots.Results ISR occurred in 46 out of 267 CAS patients(17.23％)within one year after surgery.Multivariate logistic regression analysis of the training set identified hypertension[odds ratio(OR)=2.730,95％confidence interval(CI)1.124-6.630],hyperlipidemia(OR=3.135,95％CI 1.293-7.599),preoperative calcified plaque(OR=3.485,95％CI 1.422-8.542),and residual stenosis(OR=5.440,95％CI 1.570-18.854)as significant predictors of ISR in patients with CAS within one year after surgery.The predictive model achieved an AUC of 0.798(9 5％CI 0.715-0.881),with a sensitivity of 73.5％,specificity of 75.8％,and accuracy of 75.4％.The AUC of external validation of the test set was 0.764(95％CI 0.599-0.929).Hosmer-Lemeshow test yielded x2=14.76,P=0.12,while calibration plots indicated high concordance between the predicted and actual outcomes in both the training set and the test set.Conclusion The nomogram risk prediction model for ISR in CAS patients within one year after surgery demonstrates good discrimination and calibration,provi-ding valuable insights for clinical assessment of ISR risk,control of ISR incidence and precision treatment planning.

Objective:To identify the factors influencing the diagnostic accuracy of endoscopic ultrasonography (EUS) for colorectal submucosal tumors (SMT).Methods:A retrospective analysis was conducted on 330 colorectal SMT lesions (from 323 patients) diagnosed by EUS at Shenzhen Hospital of Southern Medical University from December 2015 to October 2023. Pathological diagnosis were confirmed through endoscopic resection, EUS-guided fine needle aspiration (EUS-FNA) or surgical resection. Diagnostic accuracy was calculated for each type of colorectal SMT. Univariate and multivariate logistic regression analysis were performed to identify factors affecting EUS diagnostic accuracy.Results:The overall diagnostic accuracy of EUS for colorectal SMT was 73.6% (243/330). Among 19 SMT subtypes enrolled, neuroendocrine neoplasms (51.2%, 169/330) and lipomas (15.5%, 51/330) were most prevalent, while 17 rare subtypes each accounted for <6%. Seven rare SMT (mucosal chronic inflammation, colorectal schwannoma, xanthogranulomatous inflammation, capillary hemangioma, colonic xanthoma, lymphadenoid complex, and angiomyolipoma) showed 0% diagnostic accuracy. Seven other subtypes (granular cell tumor, leiomyoma, rectal tonsil, intestinal schistosomiasis, fibrous tissue hyperplasia, gastrointestinal stromal tumor, and lymphangioma) showed accuracy <30%, whereas five subtypes (cyst, bowel endometriosis, neuroendocrine neoplasm, lipoma, and pneumatosis cystoides intestinalis) achieved >60% accuracy. Multivariate logistic regression analysis confirmed that the lesion location (left colon VS rectum: OR=0.06, 95% CI: 0.02-0.17, P<0.001; right colon VS rectum: OR=0.04, 95% CI: 0.01-0.13, P<0.001; ileocecal valve VS rectum: OR=0.09, 95% CI: 0.02-0.42, P=0.002); echogenicity (anechoic VS hypoechoic: OR=6.26, 95% CI: 1.31-29.97, P=0.022; hyperechoic VS hypoechoic: OR=13.39, 95% CI: 4.16-43.09, P<0.001) and ultrasonic layer (layer 4 VS layer 3: OR=0.22, 95% CI: 0.06-0.81, P=0.023) were independent influencing factors of EUS diagnostic accuracy for colorectal SMT. Conclusion:Neuroendocrine neoplasms and lipomas represent the most common colorectal SMT, whereas rare and uncommon SMT exhibit low EUS diagnostic accuracy. Lesion location, echogenicity, and ultrasonic layer significantly influence EUS diagnostic accuracy for colorectal SMT.

ObjectiveA rapid method for identification of chemical constituents in Baoyuantang reference sample was established in order to clarify the material basis of this formula. MethodBased on ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） and self-established database information， the chemical components in Baoyuantang were systematically characterized and identified. The chromatography was performed on a Waters ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution（0-3 min， 2%-19%B； 3-8 min， 19%B； 8-8.1 min， 19%-22%B； 8.1-14 min， 22%-29%B； 14-16 min， 29%B； 16-32 min， 29%-45%B； 32-32.1 min， 45%-90%B； 32.1-35 min， 90%-95%B； 35-36 min， 95%-98%B； 36-37 min， 98%-2%B； 37-40 min， 2%B）. Based on electrospray ionization（ESI）， continuum data format was collected in both positive and negative ion modes with a scanning range of m/z 50-1 500. Chemical constituents in the decoction of Baoyuantang were systematically analyzed by UNIFI 1.9.4 software matching， control comparison， The Encyclopedia of Traditional Chinese Medicine（ETCM） database search and literature reports. ResultA total of 229 components were identified under negative ion mode and 181 under positive ion mode， with a total of 322 components after removing duplicates， including 116 triterpene saponins， 66 flavonoids， 19 organic acids， 6 gingerphenols， 6 gingerols， 5 gingerones， 10 amino acids， 7 saccharides， 5 coumarins and 82 other components. Among them， 83， 141， 39， 35 and 38 components were attributed to Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Astragali Radix， Cinnamomi Cortex and Zingiberis Rhizoma Recens， respectively. ConclusionIn this study， the rapid characterization and identification of multi-class components in Baoyuantang was realized， and it was confirmed that the material basis of this formula was mainly triterpenoid saponins， flavonoids， gingerols and organic acids， and the chemical composition was attributed and analyzed， which provided a reference for the subsequent quality control research.

Objective:To improve the teaching quality of Medical Microbiology by optimizing the teaching method,adjusting the teaching content and reforming the assessment model.Methods:The students of grade 2020 and 2021 of the same major were divided into the control group and the reform group.The control group received the traditional teaching method.The reform group received the"online + offline"blended teaching method,which integrates online learning resources and ideological and political education into the theoretical content of the curriculum.And the whole process assessment system was applied to the teaching method.The teaching quality was evaluated by the whole process examination results and questionnaire survey.Results:Compared with the control group,the score in the reform group was significantly improved(P＜0.01).Results of the questionnaire survey showed that students'satisfaction with the mixed teaching method reached 97.5% .The integration of hot issues of microbiology and curriculum ideological and political education significantly improved students'learning interest,and more students wanted to engage in the work of microbiology related fields in the future.Conclusion:The practice results show that optimizing the teaching method,adjusting the teaching content and reforming the assessment mode can stimulate the students'learning interest,improve the students'independent learning ability and improve the teaching quality.