1.Possible relationship between bacterial biofilm and clinical factors of patients with chronic rhinosinusitis
Pan ZHUGE ; Huihua YOU ; Ruilong XU ; Haiming SHI ; Dong LI ; Huanle DU
Chinese Journal of Clinical Infectious Diseases 2011;04(4):214-218
Objective To observe the bacterial biofilm in patients with chronic rhinosinusitis (CRS), and to investigate the possible relationship between biofilm and clinical factors. MethodsSixtynine patients with CRS ( study group), 15 patients with nasal septum deviation and 10 patients with nasal bone fracture (control group) were enrolled in the study. Mucosa specimens of uncinate process or ethmoid near the ostium of the maxillary sinus were obtained during endoscopic sinus surgery. The specimens were subjected to scanning electron microscopy. All patients were evaluated by questionnaire of chnical factors based on sino-nasal outcome test-20. SPSS 10. 0 was used for statistical analysis, and the relationship between bacterial biofilm and clinical factors was evaluated by Chi-square test. ResultsBacterial biofilms were found in 49 patients ( 71.0% ) with CRS. A marked destruction of the epithelium and cilia was observed in all samples of study group. No bacterial biofilm was found in the control group, and scanning electron microscopy showed normal epithelium and cilia in those specimens. Chi-square test showed that bacterial biofilm was not associated with clinical factors (gender, staging, course, nasal obstruction, phlegm, nasal discharge with stinking smell, headache, bloody nasal discharge and olfactory degeneration) in CRS. ConclusionsBacterial biofilms and destruction of the epithelium and cilia can be obscrved in CRS patients, which may be involved in the pathogenesis of CRS, but the formation of bacterial biofilm is not correlated with the clinical factors in CRS.
2.Risk factors for left ventricular thrombosis after acute myocardial infarction
Huanle XU ; Huibin ZHANG ; Qiaodi WANG
Journal of Chinese Physician 2024;26(1):48-52
Objective:To explore the risk factors of left ventricular thrombosis (LVT) after acute myocardial infarction.Methods:A retrospective analysis was conducted on the clinical data of 300 patients with acute myocardial infarction admitted to the Xuhui District Central Hospital in Shanghai from January 2019 to January 2022. Based on the results of echocardiography, the patients were divided into LVT group (27 cases) and non LVT group (273 cases). Single factor analysis and multivariate logistic regression analysis were used to screen for the influencing factors of LVT formation after acute myocardial infarction. The value of predicting LVT formation was analyzed through receiver operating characteristic (ROC) curve analysis of each indicator.Results:There was no significant difference between the two groups in gender, age, body mass index (BMI), smoking history, drinking history, hypertension, diabetes, duration of chest pain<12 h, white blood cell count (WBC), platelet count (PLT), myocardial creatine kinase isoenzyme (CK-MB), creatinine, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) (all P>0.05), The differences in neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), C-reactive protein (CRP), brain natriuretic peptide (BNP) levels, left ventricular ejection fraction (LVEF), and left ventricular end diastolic diameter (LVDD) between the two groups of patients were statistically significant (all P<0.05); The area under the curve predicted by NLR, PLR, CRP, BNP, LVEF, and LVDD for LVT formation after acute myocardial infarction were 0.707, 0.771, 0.859, 0.754, 0.875, and 0.796 (all P<0.05), respectively. The predicted critical values for LVT formation were 3.571, 121.761, 45.215 mg/L, 415.196 pg/ml, 51.271%, and 43.364 mm, respectively; The results of multivariate analysis showed that PLR≥121.761, CRP≥45.215 mg/L, BNP≥415.196 pg/ml, LVEF≤51.271%, and LVDD≥43.364 mm were independent risk factors for LVT formation after acute myocardial infarction (all P<0.05). Conclusions:PLR, CRP, BNP, LVEF, and LVDD are independent risk factors for LVT formation after acute myocardial infarction.
3.Expression and prognostic value of memory T lymphocyte in patients with non-small cell lung cancer following radiotherapy.
Jing HU ; Lu ZHENG ; Huanle ZHANG ; Sandian ZHANG ; Guodong XU
Journal of Zhejiang University. Medical sciences 2017;46(5):523-528
OBJECTIVETo investigate the expression and prognostic value of memory T lymphocyte in patients with non-small cell lung cancer(NSCLC) following radiotherapy.
METHODSForty-six patients with NSCLC receiving radiotherapy in Ningbo Medical Center Lihuili Hospital from February 2010 to May 2012 were enrolled in the study and 50 healthy subjects served as the control group. The central memory T cell (T) and effector memory T cell (T) in peripheral blood CD4, CD8cells were detected by flow cytometry. Survival of patients was analyzed by Kaplan-Meier curve, and the relationship between clinical features, memory T lymphocyte changes and overall survival was analyzed by multivariate Cox regression model.
RESULTSCD4T, CD4T, CD8Tlevels and CD4/CD8Tof NSCLC patients were significantly lower than those of the control group, while CD4/CD8Twas significantly higher than that of the control group(all<0.05). In NSCLC patients, CD4T, CD4Tand CD8Twere decreased and CD8Tlevels were increased 4 weeks after radiotherapy(all<0.05); CD4T, CD4Tand CD8Tat 12-week after radiotherapy were increased significantly compared with those at 4-week after radiotherapy(all<0.05). Multivariate Cox regression analysis showed that the change of CD4Tafter radiotherapy was correlated with the overall survival (95%:1.135-2.994,<0.01). The survival rate and overall survival time for patients with decreasing CD4Twere 23.1% and 10.7 months (95%:0.29-12.41), while those of patients with stable CD4Twere 52.7% and 27.4 months (95%:0.00-31.26), and those of patients with increasing CD4Twere 66.4% and 37.4 months (95%:0.33-29.21), respectively.
CONCLUSIONSNSCLC patients show a significant immunosuppression at the initial stage after radiotherapy, and then a gradual improvement. Change of memory T lymphocyte after radiotherapy can be used to help predicting the prognosis of the patients.