OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

Objective To explore the effect and mechanism of microRNA(miR)-155-5p on myocardial pyroptosis in rats with myocardial ischemia-reperfusion injury(IRI).Methods Sixty SD rats were randomly divided into sham group,IRI group,agomir-NC group,miR-155-5p agomir group,antagomir-NC group,and miR-155-5p antagomir group,with 10 rats in each group.Echocardiography was used to measure the left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),left ventricular ejection fraction(LVEF),and left ventricular fractional shortening(LVFS)of rats.Enzyme-linked immune absorbent assay(ELISA)was used to detect the levels of creatine kinase isoenzyme(CK-MB),lactate dehydrogenase(LDH),and cardiac troponin T(cTnT)in serum,as well as the levels of interleukin(IL)-1β,IL-6,IL-18,and tumor necrosis factor(TNF)-α in myocardial tissue of rats.Hematoxylin-eosin staining was used to observe pathological changes in rat myocardial tissue.Real-time fluorescent quantitative polymerase chain reaction was used to detect the expression levels of miR-155-5p and silent information regulator 1(SIRT1)messenger RNA(mRNA)in myocardial tissue of rats.Dual-luciferase reporter gene assay was used to verify the targeting relationship between miR-155-5p and SIRT1.Western blot was used to detect the expression levels of SIRT1,NOD-like receptor protein 3(NLRP3),cleaved cysteine aspartate specific proteinase-1(Cleaved Caspase-1),and gasdermin D(GSDMD)proteins in myocardial tissue of rats.Results Compared with the sham group,the LVEDD and LVESD of rats in the IRI group were increased,LVEF and LVFS were decreased,serum levels of CK-MB,LDH,and cTnT were increased,IL-1β,IL-6,IL-18 and TNF-α levels in myocardial tissue were increased,myocardial tissue structure was severely damaged,myocardial fibers were disordered,relative expression of NLRP3,Cleaved Caspase-1,and GSDMD proteins were increased,and the relative expression of SIRT1 protein was decreased(all P<0.05/5).Compared with the IRI group,the rats in the miR-155-5p agomir group had increased LVEDD and LVESD,decreased LVEF and LVFS,increased serum levels of CK-MB,LDH,and cTnT,increased myocardial tissue levels of IL-1β,IL-6,IL-18,TNF-α,aggravated myocardial tissue lesions,increased relative expression of NLRP3,Cleaved Caspase-1,and GSDMD proteins,and decreased relative expression of SIRT1 protein,and the rats in the miR-155-5p antagomir group had decreased LVEDD and LVESD,increased LVEF and LVFS,decreased serum levels of CK-MB,LDH,and cTnT,decreased myocardial tissue levels of IL-1β,IL-6,IL-18,TNF-α,reduced myocardial tissue lesions,decreased relative expression of NLRP3,Cleaved Caspase-1,and GSDMD proteins,and increased relative expression of SIRT1 protein(all P<0.05/5).miR-155-5p was negatively correlated with the expression levels of SIRT1 in rat myocardial tissue,and SIRT1 was a target gene of miR-155-5p.Conclusions miR-155-5p may participate in the regulation of myocardial IRI in rats by targeting the downregulation of SIRT1 and promoting NLRP3-mediated myocardial pyroptosis.

Objective:To analyze the correlation between drug-induced sleep endoscopy (DISE), results, polysomnography (PSG) indicators, and clinical parameters in patients with obstructive sleep apnea (OSA), and to establish and validate a predictive model for tongue base plane obstruction.Methods:This retrospective study analyzed 117 OSA patients diagnosed via PSG and treated at the Department of Otolaryngology-Head and Neck Surgery, Nanfang Hospital, Southern Medical University, between October 2014 and March 2022. The cohort comprised of 114 males and 3 females, with an age range of 20 to 54 years (mean age 38.1±8.4 years). Data on DISE results, PSG results, and clinical indicators were collected for all 117 patients. Logistic regression analysis was performed to identify relevant indicators, and a predictive model for tongue base plane obstruction was constructed and internally validated using the R programming language.Results:Univariate logistic regression analysis identified four independent risk factors for predicting tongue root plane obstruction: tonsil grading, N2, N3, and rapid eye movement sleep(REM) stage [ OR:0.412(0.260~0.652),1.045(1.012~1.079),0.943(0.903~0.984),0.961(0.925~0.998), P <0.05]. Multivariate logistic regression analysis confirmed tonsil grading and N3 sleep stage (12.48±12.22%) as significant predictors. A nomogram model incorporating these factors demonstrated good predictive performance, with an area under curve(AUC) of 0.82 (95% CI: 0.548-1.000), an optimal cutoff of 0.519, a specificity of 80.0%, and a sensitivity of 86.7%. Internal validation of the model in the validation cohort yielded an AUC of 0.751 (95% CI: 0.625-0.876). Conclusions:Tongue base plane obstruction observed during DISE in OSA patients is associated with tonsil grading and N3 sleep stage duration. The predictive model developed for tongue base plane obstruction based on DISE demonstrates good efficacy, as evidenced by its internal validation.

Objective:To explore the differential diagnostic value of abdominal diffusion-weighted imaging (DWI) combined with serum alpha fetoprotein (AFP), des-gamma-carboxyprothrombin (DCP), and the ratio of γ-glutamyl transpeptidase to alanine transaminase (GTP/ALT) in the diagnosis of benign and malignant liver tumors.Methods:Ninety liver tumor patients admitted to the Chenzhou First People′s Hospital from February 2020 to May 2022 were selected, including 48 malignant tumors and 42 benign tumors, and were divided into malignant group and benign group. The imaging findings of routine magnetic resonance imaging (MRI) and DWI examination were analyzed for two groups of patients. We compared the apparent diffusion coefficient (ADC) values, serum AFP, DCP levels, and GTP/ALT between two groups of patients. The diagnostic value of DWI, individual and combined detection of various serological indicators for malignant tumors was analyzed using receiver operating characteristic (ROC) curves.Results:There were significant differences in MRI and DWI imaging manifestations between the malignant and benign groups of patients. The ADC values and ADC index of patients in the malignant group at different b values of 50, 400, and 800 s/mm 2 were lower than those in the benign group, and the differences were statistically significant (all P<0.05). The serum AFP, DCP, and GTP/ALT of patients in the malignant group were higher than those in the benign group, and the differences were statistically significant (all P<0.05). The ROC curve analysis results showed that the sensitivity and specificity of DWI combined with serum AFP, DCP, and GTP/ALT in diagnosing liver malignant tumors were higher than those of DWI alone and each serological indicator alone. Conclusions:The combination of DWI, serum AFP, DCP, and GTP/ALT has high sensitivity and specificity in diagnosing liver malignant tumors, and has certain clinical value in distinguishing between benign and malignant liver tumors.

Objective To evaluate the efficiency of fluorescent PCR melting curve method in early diag-nosis of fluoroquinolones (FQs) resistance in the patients with tuberculosis,and to analyze the situation and characteristics of FQs resistance,so as to provide a basis for the standardized diagnosis and treatment of rifam-picin resistance/multidrug resistant tuberculosis (RR/MDR-TB) and pre-extensively drug resistant tuberculo-sis (pre-XDR-TB).Methods A total of 1094 smear positive samples from the outpatients and inpatients of Guiyang Municipal Public Health Treatment Center from January 2021 to August 2022 were collected and conducted the Roche solid culture method and bacterial species identification.Finally,589 cases of tuberculosis conducted the phenotypic drug sensitivity test and fluorescent PCR melting curve method for detecting rifam-picin (RFP),isoniazid(INH),ethambutol(EMB) and FQs resistance.The phenotypic drug sensitivity test served as the standard to evaluated the diagnostic efficiency of the fluorescent PCR melting curve method;the relationship between the patients' FQs resistance and clinical characteristics was analyzed according to the phenotypic drug sensitivity results.Results The sensitivity,specificity,coincidence rate and Kappa value of fluorescence PCR melting curve method for detecting FQs drug resistance were 91.30％,97.69％,96.94％ and 0.86 respectively;the area under the curve (AUC) was 0.945,which was higher than 0.924,0.923 and 0.850 of RFP,INH and EMB.The drug resistance rate of FQs in the patients with RR/MDR-TB was 22.80％,the Kappa value of fluorescence PCR melting curve method for detecting the patients' FQs drug re-sistance was 0.83,the consistency was good,AUC was 0.936.There was no statistically significant difference in sensitivity,specificity and coincidence rate of FQs resistance in TB patients with different bacterial loads by fluorescence PCR fusion curve (P>0.05).The treatment type,history of anti-tuberculosis,pulmonary cavity and MDR-TB were related with FQs resistance (P<0.05).Conclusion The fluorescent PCR melting curve method has good diagnostic efficiency for FQs resistance in the patients with tuberculosis.

Objective:To evaluate the clinical value of four dimensional ultrasound combined with pelvic floor surface electromyography in the assessment of bladder prolapse in primipara with different delivery modes.Methods:A total of 413 primipara 6-8 weeks after full-term delivery were selected from the obstetrics clinic of the Second Affiliated Hospital of Hainan Medical College from October 2021 to September 2023. They were divided into natural delivery group(349 cases) and cesarean section group(64 cases ). The characteristics of 4D pelvic floor ultrasound in the two groups were analyzed and summarized. Then 64 cases of primipara with pelvic floor surface electromyography were divided into bladder prolapse group (46 cases) and no bladder prolapse group(18 cases). The characteristics of four dimension ultrasound combined with pelvic floor surface electromyography in the two groups were analyzed, and the related risk factors of bladder prolapse were analyzed.Results:The bladder neck mobility and urethral rotation angle in the natural delivery group were higher than those in the cesarean section group (all P<0.05). Compared with the cesarean section group, the incidence of obvious prolapse and urethral infundibulation was higher in the natural delivery group, while the incidence of mild prolapse was lower than that in the cesarean section group (all P<0.05). Bladder neck mobility, urethral rotation angle and levator ani hiatal area in the prolapsed bladder group were higher than those in the non-prolapsed bladder group (all P<0.05). The maximum value of fast muscle stage and the mean value of slow muscle stage in the group with prolapse were lower than those in the group without prolapse (both P<0.05). Univariate Logistic regression analysis found that the risk factors for bladder prolapse were increased birth weight, natural delivery, increased bladder neck mobility, posterior bladder angle was opened, increased urethral rotation angle, increased levator ani hiatal area, decreased maximum value of fast muscle stage and decreased mean value of slow muscle stage. Multivariate Logistic regression analysis showed that increased ani hiatal area ( OR=2.216, P=0.015) and decreased maximum value of tater muscle stage ( OR=0.847, P=0.035) were risk factors for bladder prolapse. Conclusions:Pelvic floor ultrasound combine with pelvic floor surface electromyography can qualitatively and quantitatively evaluate the changes of pelvic floor muscle structure and function in postpartum women, and diagnose bladder prolapse and its degree. The increase of levator ani hiatal area and the decrease of maximum value of tater stage may be the risk factors for bladder prolapse at 6-8 weeks postpartum in primiparas.

Objective To observe the value of habitat model based on lung CT for predicting brain metastasis(BM)of lung adenocarcinoma with epidermal growth factor receptor(EGFR)mutation.Methods Data of plain lung CT of 198 lung adenocarcinoma patients with EGFR-mutant were retrospectively analyzed.The patients were divided into training set(n=138)and test set(n=60)at the ratio of 7∶3,and further divided into BM subgroup and non-BM subgroup in each set.Then a logistic regression(LR)clinical model was constructed using variables being statistically different between subgroups in training set.For features extracted from tumor and subregion of tumor,radiomics models and habitat models were constructed based on random forest,Gaussian process(GP)and support vector machine(SVM)algorithms,and the best radiomics and habitat models with generalization ability were screened.LR combined model was constructed based on the predicted values of the best radiomics and habitat models with generalization ability,as well as the clinical model.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting BM of lung adenocarcinoma with EGFR-mutant.Spearman correlation analysis was performed to observe the correlations between Ki-67 and habitat features of lung adenocarcinoma with EGFR-mutant.Results AUC of LR clinical model,GP radiomics model,SVM habitat model and LR combined model for predicting BM of lung adenocarcinoma with EGFR-mutant was 0.700,0.726,0.801 and 0.834 in training set,0.754,0.600,0.715 and 0.848 in test set,respectively.AUC of LR combined model was higher than that of LR clinical model in training set(P＜0.001),also higher than that of GP radiomics model in test set(P=0.010).Compared with GP radiomics model and SVM habitat model,the performance of LR combined model was significantly and positively improved in training set(integrated discrimination improvement index[IDI]=8.60%,8.55%,both P＜0.001).Ki-67 level of EGFR-mutant lung adenocarcinoma was lowly and positively correlated with habitatmap_original_glszm_lalgle extracted from habitat map(│rs│=0.201,P=0.004).Conclusion The habitat model based on lung CT could be used to predict BM of lung adenocarcinoma with EGFR-mutant effectively.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the expression of tissue signal transducer and activator of transcription 3(STAT3)and serum STAT3 mRNA,IL-12p40 and IL-13R α 2 levels in children with congenital intestinal atresia and their correlation with prognosis.Methods From January 2020 to January 2023,100 cases of intestinal atresia lesion tissues,normal intestinal tissues and preoperative serum samples were collected from children with congenital intestinal atresia who underwent treatment in Hebei Children's Hospital.According to the Grosfeld typing criteria,these children were categorized into 39 cases of type Ⅰ,22 cases of type Ⅱ,30 cases of type Ⅲ and 9 cases of type Ⅳ.Based on the recovery situation at 6 months after surgery,these children were separated into a good prognosis group(n=78)and a poor prognosis group(n=22).Serum samples from 93 cases of healthy children undergoing medical examinations during the same period were regarded as control samples.Immunohistochemistry was applied to detect the positive expression and localization of STAT3 in tissues.Western blot was applied to detect the expression of STAT3 protein in tissues,and quantitative polymerase chain reaction(qPCR)was applied to detect the expression level of STAT3 mRNA in serum.Pearson correlation was applied to analyze the correlation between serum STAT3 and inflammatory factor levels in children with congenital intestinal atresia.Logistic regression was used to analyze the factors affecting the prognosis of children with congenital intestinal atresia.Receiver operating characteristic(ROC)curve was applied to analyze the predictive efficacy of serum STAT3 level on the prognosis of children with congenital intestinal atresia.Results Immunohistochemical results showed that STAT3 positive expression was mainly localized in the cytoplasm and nucleus.The positive expression rate in congenital intestinal atresia tissue(86％)was higher than that in normal intestinal tissue(18％),and the difference was significant(x2=92.628,P＜0.05).Western blot results showed that the relative expression level of STAT3 in congenital intestinal atresia tissue(1.59±0.21)was higher than that in normal intestinal tissue(0.81±0.12),and the difference was significant(t=30.567,P＜0.05).The results of qPCR showed that serum STAT3(2.13±0.56),IL-12p40(0.89±0.13 ng/ml),and IL-13R α 2 levels(6.42±1.86ng/ml)in the congenital intestinal atresia group were higher than those in the control groups(1.06±0.11,0.37±0.08ng/ml,1.35±0.41ng/ml),and the differences were significant(t=18.101,33.170,25.708,all P＜0.05).The levels of STAT3 and IL-12p40,IL-13R α 2 were gradually increased with the increase of the children's subtypes,and the differences were significant(F=52.666,160.300,25.82,all P＜0.05).Pearson correlation analysis showed a positive correlation between serum STAT3,IL-12p40,and IL-13R α 2 levels in children with congenital intestinal atresia(r=0.496,0.564,all P＜0.001).The expression level of serum STAT3 in poor prognosis group(3.01±0.75)was higher than that in good prognosis group(1.88±0.51),and the differences was statistically significant(t=8.212,P＜0.05).Logistic regression showed that STAT3,IL-12p40,IL-13R α 2,and low birth quality were all independent risk factors for poor prognosis in children with congenital intestinal atresia(all P＜0.05).The ROC curve showed that the area under the curve(AUC)for evaluating the prognosis of children with congenital intestinal atresia by serum STAT3 expression was 0.916,with a sensitivity of 81.82％and a specificity of 88.46％,respectively.When the serum STAT3 mRNA level was higher than 2.47,children with congenital intestinal atresia had a higher probability of poor prognosis.Conclusion The expression of STAT3 is increased in the tissues and serum of children with congenital intestinal atresia.Serum STAT3 may have a predictive value for the prognosis of affected children.

Objective To evaluate the acute exacerbation of chronic obstructive pulmonary disease(COPD)(AECOPD)status via combining clinical data,lung function parameters with CT radiomic features based on machine learning method.Methods A total of 343 COPD patients,including 158 AECOPD patients and 185 non-AECOPD patients were retrospectively selected and randomly divided into training and testing sets at a ratio of 7∶3.The radiomics features were calculated after automatically delineating the whole lung volume of interest(VOI).Five machine learning methods were used to construct the AECOPD diagnostic model,then the corresponding Radiomics score(Rad-score)was calculated in the training set and was validated in the testing set.The logistic-combined model was established after integrating age,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,vital capacity(VC),forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1％pred,FEV1/FVC％,peak expiratory flow(PEF),maximum ventilatory volume(MVV),and Rad-score value.The area under the curve(AUC)of receiver operating characteristic(ROC)curve was calculated to evaluate the evaluated performance of all models.Results The logistic regression model had the best diagnostic performance,with AUC of 0.724 and 0.758 in the training and testing sets,respectively.The performance of the logistic-combined model to diagnose AECOPD was superior to that of the single logistic regression model,with the AUC of 0.777 and 0.760 in the training and testing sets,respectively.Conclusion A combination strategy including clinical data,lung function parameters,and CT radiomics may be helpful to diagnose AECOPD status,with moderate diagnostic performance.