Pseudomonas aeruginosa isolation is an important predictor for recurrent hemoptysis after bronchial artery embolization in patients with idiopathic bronchiectasis: a multicenter cohort study.

BACKGROUND: Nearly half of bronchiectasis patients receiving bronchial artery embolization (BAE) still have recurrent hemoptysis, which may be life-threatening. Worse still, the underlying risk factors of recurrence remain unknown. METHODS: A retrospective cohort was conducted of patients with idiopathic bronchiectasis who received BAE from 2015 to 2019 at eight centers. Patients were followed up for at least 24 months post BAE. Based on the outcomes of recurrent hemoptysis and recurrent severe hemoptysis, a Cox regression model was used to identify risk factors for recurrence. RESULTS: A total of 588 individuals were included. The median follow-up period was 34.0 months (interquartile range: 24.3-53.3 months). The 1-month, 1-year, 2-year, and 5-year cumulative recurrent hemoptysis-free rates were 87.2%, 67.5%, 57.6%, and 49.4%, respectively. The following factors were relative to recurrent hemoptysis: 24-h sputum volume (hazard ratio [HR] = 1.99 [95% confidence interval [95% CI]: 1.25-3.15, p = 0.015]), isolation of Pseudomonas aeruginosa (HR = 1.50 [95% CI: 1.13-2.00, p = 0.003]), extensive bronchiectasis (HR = 2.00 [95% CI: 1.29-3.09, p = 0.002]), and aberrant bronchial arteries (AbBAs) (HR = 1.45 [95% CI: 1.09-1.93, p = 0.014]). The area under the receiver operating characteristic curve of the nomogram was 0.728 [95% CI: 0.688-0.769]. CONCLUSIONS: Isolation of Pseudomonas aeruginosa is an important independent predictor of recurrent hemoptysis. The clearance of Pseudomonas aeruginosa might effectively reduce the hemoptysis recurrence rate.

[GC-MS analysis of chemical constituents of volatile oil from flowers of Rhododendron mucronatum].

OBJECTIVE: To analyze the chemical constituents of volatile oil from flowers of Rhododendron mucronatum. METHODS: The volatile oil was extracted by water-steam distillation and analyzed by GC-MS. RESULTS: Forty-nine compounds, which occupied 79.55% of total constituents, were identified. The major constituents were linalool, beta-eudesmene, phytol, benzyl benzoate, benzyl salicylate and nonyl aldehyde. CONCLUSION: The chemical constituents of volatile oil, which contain many bioactive constituents, are mainly composed of terpenes, esters, and alkanes.

[Changes of BDNF expression in hippocampus and serum of rats with artificial chronic obstructive pulmonary disease].

In clinical practice, we have found that cognitive impairment frequently occurs in chronic obstructive pulmonary disease (COPD) patients, but little is known about its pathophysiological mechanism. Given that brain-derived neurotrophic factor (BDNF) is affected by many factors such as smoking, infection, hypoperfusion and hypoxia, the present study was to explore the expression of BDNF in COPD rats. The rat COPD model was established by passive smoking and intratracheal instillation of lipopolysaccharide (LPS). Rats with the same age and gender ratios were divided into 4 groups: the control group (n = 6), the smoking group (n = 6), the LPS group (n = 6) and the smoking + LPS group (n = 6, COPD model). Level of BDNF in serum was measured by ELISA. And the expression of BDNF in the hippocampus was assessed using the immunohistochemistry and image analysis. The results showed that BDNF in the hippocampus and serum significantly increased in the smoking, LPS and smoking + LPS groups, compared to that in the control group. However, the expression of BDNF was less in the smoking + LPS group than that in the smoking or LPS group both in the hippocampus and serum. In conclusion, the expression of BDNF in the hippocampus and serum is highly increased in the COPD group. Smoking and intratracheal instillation of LPS induce the increase of BDNF level in the hippocampus and serum.

Precision test for precision medicine: opportunities, challenges and perspectives regarding pre-eclampsia as an intervention window for future cardiovascular disease.

Hypertensive disorders of pregnancy (HDP) comprise a spectrum of syndromes that range in severity from gestational hypertension and pre-eclamplsia (PE) to eclampsia, as well as chronic hypertension and chronic hypertension with superimposed PE. HDP occur in 2% to 10% of pregnant women worldwide, and impose a substantial burden on maternal and fetal/infant health. Cardiovascular disease (CVD) is the leading cause of death in women. The high prevalence of non-obstructive coronary artery disease and the lack of an efficient diagnostic workup make the identification of CVD in women challenging. Accumulating evidence suggests that a previous history of PE is consistently associated with future CVD risk. Moreover, PE as a maladaptation to pregnancy-induced hemodynamic and metabolic stress may also be regarded as a "precision" testing result that predicts future cardiovascular risk. Therefore, the development of PE provides a tremendous, early opportunity that may lead to changes in maternal and infant future well-being. However, the underlying pathogenesis of PE is not precise, which warrants precision medicine-based approaches to establish a more precise definition and reclassification. In this review, we proposed a stage-specific, PE-targeted algorithm, which may provide novel hypotheses that bridge the gap between Big Data-generating approaches and clinical translational research in terms of PE prediction and prevention, clinical treatment, and long-term CVD management.

[Study on the operation of a methanogenic EGSB reactor under acid condition at pH 6.0].

In this paper the methanogenic process under acid condition at pH 6.0 was studied. Inoculated with neutral granular sludge, a 3.1 L EGSB reactor was operated for 345 days, the pH value in the reactor was gradually lowered down, and the acid-tolerant methanogenic granular sludge was achieved, and the anaerobic EGSB reactor was operated stably under lower pH and lower alkalinity. At pH 6.0, influent COD 3000 mg/L, COD OLR 5 kg/(m3 x d), the average COD removal efficiency of the EGSB reactor was 95.0%, while the effluent alkalinity (CaCO3) was only 328.5 mg/L, the biogas production per gram removal COD was 372.2 mL with 57.6% methane content. At pH 6.0, influent COD 4000 mg/L, COD OLR 7.5 kg/(m3 x d), the average COD removal efficiency was 90.9%, and the effluent alkalinity (CaCO3) was 404.8 mg/L, the biogas production per gram removal COD was 446.3 mL with 55.9% methane content. The EGSB reactor was operated at pH 6.0-6.1 for 112 days, which showed the stable methanogenic process was feasible at low pH and low alkalinity.