Objective To explore the clinical significance of estrogen receptor α( ERα) , estrogen receptor β( ERβ) in non-small cell lung cancer( NSCLC) .Methods EnVision method was used to detect the expressions of ERα, ERβ, vascular endothelial growth factor( VEGF) , and microvessel density( MVD) in 54 NSCLC patients, 10 patients with lung benign lesions, and 10 normal controls. The interrelation between ERα, ERβ, VEGF, and MVD was analyzed. Results No obvious expressions of ERα and ERβwere observed in the normal lung tissues and lung benign lesions. The positive expression rates of ERα, ERβ, and VEGF in NSCLC were 20. 4% ( 11/54) , 64. 8% ( 35/54) , and 64. 8% ( 35/54) , respectively. There were no significant differences between ERαin regard to clinical parameters of NSCLC. But the expression of ERβwas dependent on pathological classification and differentiation of NSCLC. The expression of ERβ was significantly higher in adenocarcinoma than in squamous cell carcinoma( P lt; 0. 05) . The expression rate of ERβin well differentiated group was significantly higher than that in low, moderately differentiated group( P lt;0. 05) . There were significant differences between VEGF in regard to lymph node metastasis and TNM stage. The expression of ERαinterrelated with VEGF and MVD with r value of 0. 4 and 0. 685 respectively ( P lt;0. 05) . There was little correlation between ERβ and VEGF, MVD( P gt; 0. 05) . Conclusion Theexpression of ERβ correlates with pathological classification and differentiation of NSCLC, suggesting its significance in evaluating the pathological classification and malignant degree of NSCLC. The expression of ERαcorrelates with VEGF and MVD, suggesting that ERαpossibly promote micro-angiogenesis of NSCLC by VEGF pathway.
ObjectiveTo analyze the quality of life (QOL) and psychological status among patients having undergone cardiac resynchronization therapy (CRT). MethodsA total of 42 patients underwent CRT in our hospital during January 2011 to January 2014. All the patients were studied by MOS SF-36 scale and symptom checklist-90 (SCL-90) on overall QOL and psychological QOL, respectively. Another 42 healthy people in matched control group were also tested. ResultsThe QOL of patients after CRT was significantly lower than that of healthy subjects (P<0.05). The psychological status score, which was obtained by the examination of SCL-90, was significantly higher in patients after CRT than in the healthy population (P<0.05). The length of the disease course and leveling exercise tolerance are the influence factors for the QOL and psychological status in patients undergoing CRT. Gender does not make any difference between the two groups. ConclusionThe QOL of patients having undergone CRT is significantly lower than that of healthy people, and the psychological status score is higher. Medical staff need to pay attention to the mental illness (such as depression, anxiety and panic) of patients after CRT, especially in patients with long course of disease, and patients who fail to improve exercise tolerance or who are mateless. Psychological interventions can further improve the QOL of patients.
ObjectiveTo investigate the relationship between the red blood cell distribution width (RDW) and the severity of acute exacerbation of bronchiectasis in elderly patients.MethodsThe clinical data of 216 elderly patients with acute exacerbation of bronchiectasis admitted from January 2015 to October of 2018 were analyzed retrospectively. The severity of acute exacerbation of bronchiectasis in the elderly was evaluated by bronchiectasis severity index (BSI) score. Meanwhile, 50 elderly people receiving qualified medical examination were collected as a healthy control group in the same period. The distributions of BSI score, RDW, procalcitonin (PCT), neutrophil percentage (NEU%) and C-reactive protein (CRP) were described in the patients with different risk degree. The severity of acute exacerbation of bronchiectasis in the elderly was evaluated by BSI. The patients were divided into three groups by BSI score: a low risk group, a middle risk group, and a high risk group. The indexes were described including the distribution of stratified BSI score, RDW, PCT, NEU%, CRP at different risk levels. The correlation of each index was analyzed by Spearman correlation. The threshold value of RDW was calculated by general linear regression, and the influencing factors of BSI score were analyzed by multivariate linear regression analysis.ResultsThe higher the risk stratification, the higher the BSI score, RDW, PCT, NEU% and CRP were. RDW was positively correlated with PCT, NEU% and CRP (r values were 0.425, 0.311, 0.177, respectively, P<0.05). BSI score was positively correlated with RDW, PCT, NEU%, and CRP (r values were 0.425, 0.394, 0.650, 0.578, respectively, P<0.05). RDW was positively correlated with PSI score (r=0.425, P<0.05). The thresholds of RDW were 11.45% and 14.03%. Multiple linear regression showed that RDW, PCT, NEU% and CRP were all influential factors of BSI score and explained 52.3% of the total mutation rate.ConclusionRDW is related to the severity of acute exacerbation of bronchiectasis in the elderly, and can predict the severity of acute exacerbation of bronchiectasis in the elderly.
Objective To analyze the hot spot and future application trend of artificial intelligence technology in the field of intensive care medicine. Methods The CNKI, WanFang Data, VIP and Web of Science core collection databases were electronically searched to collect the related literature about the application of artificial intelligence in the field of critical medicine from January 1, 2013 to December 31, 2022. Bibliometrics was used to visually analyze the author, country, research institution, co-cited literature and key words. Results A total of 986 Chinese articles and 4 016 English articles were included. The number of articles published had increased year by year in the past decade, and the top three countries in English literature were China, the United States and Germany. The predictive model and machine learning were the most frequent key words in Chinese and English literature, respectively. Predicting disease progression, mortality and prognosis were the research focus of artificial intelligence in the field of critical medicine. ConclusionThe application of artificial intelligence in the field of critical medicine is on the rise, and the research hotspots are mainly related to monitoring, predicting disease progression, mortality, disease prognosis and the classification of disease phenotypes or subtypes.
ObjectiveFor better health interventions, blood pressure control and reducing risk of cardiovascular events, we explored the effects of health education by nurses on hypertension patients after discharging. MethodsHypertensive discharging-patients from the department of cardiology of the West China Hospital of Sichuan University were enrolled from January to October in 2011. They were divided into two groups, including a health education group and a control group. The patients in the health education group were given all-side care, health guidance, education lectures and telephone follow-up by nurses. The control group got no intervention. After one year follow-up, the information about situation of blood pressure control, new-onset cardiovascular events and changes of life habits were collected from the two groups. SPSS 19.0 was used to perform statistic analysis. ResultsA total of 300 discharged hypertensive cases were included, with 150 cases in each group. The systolic blood pressure of patients in the health education group was significantly lower than that of the control group (P < 0.05). Both blood control rates and the habit of low salt intake in the health education group were also better than those of the control group (both P < 0.05). There was no significant difference in changes of smoking, drinking, physical exercise and new-onset cardiovascular events between the two groups. ConclusionHealth education by nurses could effectively improve the management of blood pressure in patients with hypertension.