Objective
Risk stratification for patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) may help clinicians choose appropriate treatments and improve the quality of care.
Methods
A total of 695 patients hospitalized with AECOPD from January 2015 to December 2017 were considered. They were assigned to a death and a survival cohort. The independent prognostic factors were determined by multivariate logistic regression analysis. Meanwhile, we also compared the new scale with three other scores and tested the new scale internally and externally.
Results
A new risk score was created, made up of six independent variables: age, D‐dimer, albumin, cardiac troponin I, partial pressure of carbon dioxide and oxygenation index. The area under the receiver operator characteristic curve (AUROC) for the model was 0.929, and the other three CURB‐65, DECAF and BAP‐65 models were 0.718, 0.922 and 0.708. The Cohen’s kappa coefficient between the new scale and DECAF was calculated to be 0.648, suggesting that there is a substantial consistency between the two. In the internal and external validation cohorts, 490 and 500 patients were recruited with a total mortality rate of 5.15%. The AUROC for in‐hospital mortality was 0.937 in the internal cohort and 0.914 in external cohort, which was significantly better than the scores for CURB‐65 and BAP‐65, but it was not significantly different from the DECAF.
Conclusions
The new scale may help to stratify the risk of in‐hospital mortality of AECOPD. The DECAF performed as well as the new instrument, and it appears to be valid in Chinese patients.
The purpose of this study is to investigate the effect of lipoprotein(a) level on long-range prognosis after Percutaneous Coronary Intervention (PCI) in patients with lowdensity lipoprotein cholesterol (LDL-C) goal attainment. In this retrospective study, 350 patients in Coronary artery disease (CAD) with LDL-C less than 1.8 mmol/L were enrolled in the Guangdong Institute of Cardiovascular Diseases from January 2011 to December 2013. Follow-up was 1 year after PCI. According to the median value of the study population based on Lp(a), the patients were assigned to the high-level group and low-level group. The clinical data of the 2 groups were collected. We compared the baseline data between the 2 groups and the incidence rate of major cardiovascular events. After statistical analysis, the gender composition, hypertension, diabetes, and age of the patients between the 2 groups were similar, and the distinction was not significant. There was no significant distinction in cardio-vascular death, ischemic stroke, and recurrent myocardial infarction between the 2 groups, but the incidence of revascularization was higher in the high-level group (P <0.05). High Lp(a) level predicts an increased incidence of revascularization of patients in CAD with LDL-C less than 1.8 mmol/L after PCI.
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