Clinical efficacy ofKuanxionglifeiDecoction combined withSanziyangqinDecoction in treatment of acute exacerbation of chronic obstructive pulmonary disease

2015 ◽  
Vol 36 (12) ◽  
pp. 1374
Author(s):  
Xue-yuan HUANG ◽  
Rui ZHANG ◽  
Jia-ying ZHAO ◽  
Ting CHEN ◽  
Sha-luo LI ◽  
...  
2021 ◽  
Author(s):  
Xilian Feng ◽  
Jiahua Liang ◽  
Jiamin Chen ◽  
Weiyan Chen ◽  
Hui Li ◽  
...  

Abstract Background: Pulmonary hypertension (PH) is a serious complication of COPD and is associated with poor prognosis. There are currently no established predictive models for PH during the acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Objective: To establish a prediction model for intermediate- and high-risk PH in AECOPD patients.Methods: This study collected data from 203 AECOPD patients and divided the patients into a model group and an external validation group. The influence of each parameter on PH was analysed through univariate and multivariate analyses, and these data were used to build a prediction model. Finally, the discriminative ability, calibration ability and clinical efficacy of the model were tested.Result: Age, RDW-CV and RDW-SD were related to PH, so these variables were used to establish a prediction model. In addition, the discriminative ability, calibration ability and clinical efficacy of the model were affirmed.Conclusion: This study established a clinical prediction model for AECOPD patients with PH, and the prediction model has certain clinical value for assisting in the screening of intermediate- and high-risk patients with PH.


2019 ◽  
Vol 22 (3) ◽  
pp. 160-168
Author(s):  
Jian-Da Huang ◽  
Tong-Jie Gu ◽  
Zhi-Lin Hu ◽  
Dan-Fei Zhou ◽  
Jun Ying

Background: The study aimed to evaluate the efficacy and safety of invasivenoninvasive sequential ventilation versus invasive ventilation in the treatment of Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD). Method: PubMed, Cochrane, Embase, Wanfang, CNKI, VIP database were searched by the index words to identify the qualified RCTs, and relevant literature sources were also searched. The latest research was conducted in June 2017. Relative Risks (RR), and Mean Difference (MD) along with 95% confidence interval (95% CI) were used to analyze the main outcomes. Result: Twenty-nine RCTs were involved in this analysis of 1061 patients in the invasivenoninvasive sequential ventilation group (In-non group) and 1074 patients in the invasive ventilation group (In group). The results indicated that compared with the invasive ventilation, invasive-noninvasive sequential ventilation would significantly decrease the incidence of VAP (RR:0.20, 95%CI: 0.16-0.26), mortality (RR:0.38, 95%CI: 0.26-0.55), reintubation (RR:0.39, 95%CI: 0.27-0.55); and statistically reduced the duration of invasive ventilation (MD:-9.23, 95%CI: -10.65, -7.82), the total duration of mechanical ventilation (MD:-4.91, 95%CI: -5.99, -3.83), and the length of stay in the ICU (MD:-5.10, 95%CI: -5.43, -4.76). Conclusion: The results demonstrated that the application of noninvasive sequential ventilation after invasive ventilation at the pulmonary infection control window has a significant influence on VAP incidence, mortality, and the length of stay in the ICU, but further well-designed, adequately powered RCTs are required to validate the conclusion.


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