Objective To explore the distribution of bacteria among community acquired lower respiratory tract infection (LRTI) inpatients with underlying chronic respiratory tract diseases.Methods The clinical data，sputum culture and drug susceptibility results of 212 community acquired LRTI patients who were hospitalized during the period 2001-2005 were retrospectively analyzed.All patients had various underlying chronic respiratory tract diseases.Results A total of 229 strains of pathogens were detected，with the majority being gram negative bacteria.In pathogens of acute exacerbation of chronic obstructive pulmonary disease，gram negative bacteria occupied 73.9%.And Pseudomonas aeruginosa and Klebsiella pneumoniae were the most common pathogens，with each occupying 18.2% and 13.6% respectively.Gram positive bacteria occupied 23.8%，mainly Staphylococcus aureus (10.2%) and Streptococcus pneumoniae (9.1%).In patients with bronchiectasis exacerbated by bacterial infection，86.2% were caused by gram negative bacteria，the top three being，in descending order，Pseudomonas aeruginosa (27.5%)，Haemophilus parainfluenzae (13.7%)，and Haemophilus influenzae (11.8%).Bronchiectasis was the major risk factor of getting Pseudomonas aeruginosa infection (OR=5.590，95%CI 2.792~11.192).The risk factors of getting Acinetobacter baumanii infection were antacid usage within 1 month (OR=9.652，95%CI 2.792~11.192) and hypoalbuminemia (OR=2.679，95%CI 1.108~6.476).For enterobacters infections，including Klebsiella pneumoniae，Enterobacter cloacae and Escherichia coli，the risk factors were antibiotic usage within 1 month (OR=4.236，95%CI 1.982~9.057)，having renal diseases (OR=4.305，95%CI 1.090~17.008) and diabetes mellitus (OR=2.836，95%CI 1.339~6.009).Conclusions Gram negative bacteria were the main pathogens of community acquired LRTI in hospitalized patients with underlying chronic respiratory tract diseases.The pathogens were influenced by underlying diseases，severity of diseases and drug usage history of patients.
Objective To determine the affected factors of intraorbital hemodynamic results in diabetic retinopathy (DR) and the risk factors related to the occurrence of DR. Methods Posterior ciliary artery (PCA), central retinal artery (CRA), central retinal vein (CRV), and vortex vein (VV) of 68 patients with DR were measured by color Doppler flow image (CDFI). Thirty-one hemodynamic parameters, including systolic velocity, diastolic velocity, mean velocity, resistive index, pulsatility index and accelerative velocity of ophthalmic artery (OA), and other variates (blood pressure, blood sugar, gender, age, duration of the disease, and so on) were collected and clustered in a principal components analys is following a forward, stepwise logistic regression on these components. Results Nine principal components were extracted from 37 original variates, reflecting the velocity of OA, velocity of PCA, resistance of OA, velocity of CRA,resistance of CRA, resistance of PCA, time-related factor, venous drainage factor and gender factor, respectively. In the result of logistic regression, resistance of OA, velocity of CRA, resistance of PCA, time-related factor, and venous drainage factor were the risk factors related to DR. Conclusion The first risk factor affecting DR is time, and intraorbital hemodynamic abnormity influencing the development of diabetic retinopathy may be the increase of resistance of OA, decrease of velocity of CRA, decrease of resistance of PCA, and increase of venous drainage. (Chin J Ocul Fundus Dis，2004，20：98-100)
ObjectiveTo analyze the risk factors of venous thromboembolism (VTE) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and to provide a theoretical basis for the prevention and treatment of AECOPD combined with VTE.MethodsA total of 413 AECOPD patients admitted to Pulmonary Department of Pulmonary Hospital and our hospital from February 2014 to September 2017 were selected as the study subjects. The patients of AECOPD with VTE were determined by the results of lower extremity venous ultrasound and CT pulmonary angiography. The incidence of AECOPD patients with VTE was calculated. Patients with AECOPD with VTE were assigned to the VTE group and AECOPD without VTE to non-VTE group. All the patient's gender, age and other general information, lower extremity pain swelling, walking difficulties, fever and other clinical symptoms, bed rest, hormone use, diuretic use of treatment information, laboratory tests and other indicators were collected. SPSS 20.0 was used for statistical analysis. T-test or rank sum test was used to compare between groups. Chi-square test was used to count data, and the results of univariate analysis were included in logistic regression analysis to analyze the risk factors of VTE in patients with AECOPD.ResultsThe incidence of VTE in patients with AECOPD was 12.59%. Increasing heart rate, pulmonary infarction "triple symptoms" the proportion of PTE patients with higher than the number of patients with deep vein thrombosis (DVT), the difference was statistically significant (P<0.05). PaO2, PaCO2, SpO2, and FEV1%pred in PTE patients of PTE were lower than those in DVT patients, pulmonary artery systolic pressure was higher than DVT patients, the difference was statistically significant (P<0.05). History of venous thrombosis (OR=1.986, P=0.031), lower extremity pain (OR=7.376, P=0.019), bed-staying duration≥3 d (OR=3.325, P=0.001) and D-dimer increase (OR=9.628, P=0.000) were independent risk factors for VTE in AECOPD patients.ConclusionsThe incidence of AECOPD patients with VTE is high, which needs to be paid attention. Observation should be enhanced for those AECOPD patients with risk factors such as history of venous thrombosis, lower extremity pain, bed-staying duration≥3 d and D-dimer increase in clinical work. If possible, imaging studies should be carried out as soon as possible to make early diagnosis.
The radial artery pulse wave contains a wealth of physiological and pathological information about the human body, and non-invasive studies of the radial artery pulse wave can assess arterial vascular elasticity in different age groups.The piezoelectric pulse wave transducers were used to non-invasively acquire radial artery pulse waves at different contact pressures in young and middle-aged and elderly populations. The radial artery waveforms were decomposed using a triangular blood flow model fitting method to obtain forward and reflected waves and calculate reflection parameters. Finally a correlation analysis and regression analysis of the contact pressure Psensor with the reflection parameters was carried out. The results showed that the reflection parameters RM, RI and Rd had a strong negative correlation with Psensor in both types of subjects, and the correlation coefficients and slopes of the regression curves were significantly different between the two types of subjects (P<0.05). Based on the results of this study, excessive contact pressure on the transducer should be avoided when detecting radial artery reflection waves in clinical practice. The results also show that the magnitude of the slope of the regression curve between the reflection parameters and the transducer contact pressure may be a potentially useful indicator for quantifying the elastic properties of the vessel.