Objective To explore the characteristics and the related factors of the lipid profiles in patients with ankylosing spondylitis (AS). Methods Sixty AS patients and 60 healthy controls were included retrospectively from January 2005 to January 2015. Information including general data, physical examination, and blood sample were collected; triacylglycerol (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), high-density lipoprotein cholesterol (HDL-C), and C-reactive protein (CRP) were assessed. Results TG increased in 46.7% (28/60) patients, and HDL-C decreased in 50.0% (30/60). Compared with the control group, AS patients had lower levels of HDL-C, TC and LDL-C, and higher levels of TG, VLDL-C, VLDL-C/LDL-C ratio, LDL-C/HDL-C ratio, and TC/HDL-C ratio; the differences above were all statistically significant (P<0.01). Spearman correlation test demonstrated that HDL-C level was correlated negatively with serum CRP (rs=–0.359, P=0.005). Multiple linear regression model demonstrated that CRP was associated with HDL-C in AS patients (P=0.019). Conclusions Dyslipoproteinemia is a common feature in AS patients. The main characteristic is the increase of TG and decrease of HDL-C, related with inflammation. It suggests a high risk of atherosclerosis.
ObjectiveTo explore the independent factors related to clinical severe events in community acquired pneumonia patients and to find out a simple, effective and more accurate prediction method.MethodsConsecutive patients admitted to our hospital from August 2018 to July 2019 were enrolled in this retrospective study. The endpoint was the occurrence of severe events defined as a condition as follows intensive care unit admission, the need for mechanical ventilation or vasoactive drugs, or 30-day mortality during hospitalization. The patients were divided into severe event group and non-severe event group, and general clinical data were compared between two groups. Multivariate logistic regression analysis was performed to identify the independent predictors of adverse outcomes. Receiver operating characteristic (ROC) curve was constructed to calculate and compare the area under curve (AUC) of different prediction methods.ResultsA total of 410 patients were enrolled, 96 (23.4%) of whom experienced clinical severe events. Age (OR: 1.035, 95%CI: 1.012 - 1.059, P=0.003), high-density lipoprotein (OR: 0.266, 95%CI: 0.088 - 0.802, P=0.019) and lactate dehydrogenase (OR: 1.006, 95%CI: 1.004 - 1.059, P<0.001) levels on admission were independent factors associated with clinical severe events in CAP patients. The AUCs in the prediction of clinical severe events were 0.744 (95%CI: 0.699 - 0.785, P=0.028) and 0.814 (95%CI: 0.772 - 0.850, P=0.025) for CURB65 and PSI respectively. CURB65-LH, combining CURB65, HDL and LDH simultaneously, had the largest AUC of 0.843 (95%CI: 0.804 - 0.876, P=0.022) among these prediction methods and its sensitivity (69.8%) and specificity (81.5%) were higher than that of CURB65 (61.5% and 76.1%) respectively.ConclusionCURB65-LH is a simple, effective and more accurate prediction method of clinical severe events in CAP patients, which not only has higher sensitivity and specificity, but also significantly improves the predictive value when compared with CURB65.