High-density lipoprotein cholesterol and in-hospital mortality in patients with acute aortic dissection / 华中科技大学学报(医学)(英德文版)
Journal of Huazhong University of Science and Technology (Medical Sciences)
;
(6): 364-367, 2016.
Article
in English
| WPRIM
| ID: wpr-285262
ABSTRACT
The association between high-density lipoprotein cholesterol (HDL-C) and mortality in patients with acute aortic dissection (AAD) is unclear. From January 2007 to January 2014, a total of 928 consecutive AAD patients who were admitted within 48 h after the onset of symptoms were enrolled in the study. Patients were divided into two groups according to whether serum HDL-C level was below the normal lower limit or not. The Cox proportional hazard regression model was used to identify the predictive value of HDL-C for in-hospital mortality in patients with AAD. As compared with normal HDL-C group (n=585), low HDL-C group (n=343) had lower levels of systolic blood pressure and hemoglobin and higher levels of leukocyte, alanine aminotransferase, blood glucose, blood urea nitrogen, creatinine and urea acid. Low HDL-C group had significantly higher in-hospital mortality than normal HDL-C group (21.6% vs. 12.6%, log-rank=10.869, P=0.001). After adjustment for baseline variables including demographics and biologic data, the increased risk of in-hospital mortality in low HDL-C group was substantially attenuated and showed no significant difference (adjusted hazard ratio, 1.23; 95% confidence interval, 0.86-1.77; P=0.259). Low HDL-C is strongly but not independently associated with in-hospital mortality in patients with AAD.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Aortic Aneurysm
/
Pathology
/
Uric Acid
/
Blood
/
Blood Glucose
/
Blood Pressure
/
Blood Urea Nitrogen
/
Biomarkers
/
Proportional Hazards Models
/
Acute Disease
Type of study:
Diagnostic study
/
Etiology study
/
Prognostic study
/
Risk factors
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
Language:
English
Journal:
Journal of Huazhong University of Science and Technology (Medical Sciences)
Year:
2016
Type:
Article
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