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Churong Lin,1,&ast; Ling Sun,2,&ast; Qinchang Chen2 1Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China; 2Department of Pediatric Cardiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qinchang ChenDepartment of Pediatric Cardiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, No. 106 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, People’s Republic of ChinaEmail chenqinchang@gdph.org.cnObjective: In this study, we aimed to use a two sample Mendelian randomization (MR) method to identify a potentially causality between waist circumference and the risk of deep vein thrombosis (DVT).Methods: With a two‐sample MR approach, we analyzed the summary data. The main analysis was performed by using the summary genetic data from two large consortium cohorts. Three MR approaches were used to explore MR estimates of waist circumference for DVT (inverse‐variance weighted [IVW] approach, weighted median method and MR‐Egger method). A total of 224 single nucleotide polymorphisms (SNPs) were identified associated with the level of waist circumference at statistical significance (P < 5&ast;10− 8; linkage disequilibrium r2 < 0.1).Results: The result of IVW indicated the positive association between waist circumference and the risk of DVT (OR 1.012, 95% CI 1.009– 1.014, P 7.627E-17). The other two methods were observed with consistent result. MR-Egger regression analysis indicated that no evidence for the presence of directional horizontal pleiotropy. Additionally, DVT was not a causal factor for wai

Qinchang Chen,1,2,* Qingui Chen,3,* Yanchen Ye,1,2 Ridong Wu,1,2 Shenming Wang,1,2 Chen Yao1,2 1Department of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China; 2National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China; 3Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shenming Wang; Chen YaoDepartment of Vascular Surgery; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, People’s Republic of ChinaEmail shenmingwang@hotmail.com; yaochen@mail.sysu.edu.cnObjective: To investigate the characteristics and prognosis of abdominal or thoracic aortic aneurysm (AAA or TAA) patients admitted to intensive care unit (ICU) postoperatively.Methods: Patients admitted to ICU postoperatively with a primary diagnosis of AAA or TAA were screened in the eICU Collaborative Research Database, which contained data from multiple ICUs throughout the continental United States in 2014 and 2015. Baseline characteristics and comorbidities and were investigated and factors associated with ICU mortality were explored using univariable logistic regression. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prognosis predictive performance of the widely used severity scoring system APACHE IVa.Results: A total of 974 patients including 677 AAA and 297 TAA patients admitted to ICU postoperatively were included. Compared with TAA, AAA patients had a significantly higher median age (72 versus 64 years, P< 0.001). 89.0

Lingling Li,1,2,* Qinchang Chen,1,* Qingui Chen,3 Ridong Wu,1 Shenming Wang,1 Chen Yao1 1Department of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China; 2Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, People’s Republic of China; 3Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shenming Wang; Chen YaoDepartment of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, People’s Republic of ChinaEmail shenmingwang@hotmail.com; yaochen@mail.sysu.edu.cnPurpose: The aim of this study was to evaluate the association between blood glucose within 24 hours after intensive care unit (ICU) admission and prognosis.Patients and Methods: A retrospective cohort study was conducted using data from a large critical care database. Patients who had a length of ICU stay ≥ 24 hours and at least two blood glucose records within 24 hours after ICU admission were included and hospital mortality was chosen as the primary outcome. The average, minimum, and maximum blood glucose within 24 hours after ICU admission were a priori selected as exposures and associations between each exposure and outcomes were assessed after adjusted for potential confounders.Results: A total of  14,237 patients were included finally with an average age of 62.9± 17.7 years and a mean SAPS II on admission of 34 (26– 44). Among the study population, 20.2% (2872/14,237) had uncomplicated diabetes, and 6.7% (953/14,237) had complicated diabetes. Lowest hospital mortality rate was observed in the stratum with an average blood glucose ranged 110– 140 mg/dL, a minimum blood glucose ranged 80&

Qinchang Chen,1,* Kai Huang,2,* Lingling Li,2 Xixia Lin,2 Cong Ding,2 Junrui Zhang,3 Qingui Chen1 1Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; 2Division of Vascular and Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China; 3Guangzhou Institute of Standardization, Guangzhou, China *These authors contributed equally to this work Purpose: We aimed to evaluate the association of serum uric acid on admission with long-term outcome of critically ill patients. Materials and methods: We conducted a retrospective cohort study using data extracted from the Medical Information Mart for Intensive Care III database. The primary endpoint was 90-day mortality. Propensity score matching (PSM) was performed, and multivariate Cox regression analysis was used to adjust for potential confounders. Receiver operating characteristic (ROC) curves were also used to assess the mortality predictions. Results: A total of 2,123 patients were included finally with a PSM cohort consisting of 556 90-day non-survivors matched 1:1 with 556 90-day survivors. No statistically significant difference of median admission uric acid was observed between the two groups (survivors 5.50 mg/dL vs non-survivors 5.60 mg/dL, p=0.536). ROC area under the curve was 0.511 (95% confidence interval [CI] 0.477–0.545), suggesting that uric acid had poor discriminative powers for predicting 90-day mortality. No significant association between uric acid and 90-day mortality was found (hazard ratio 1.00, 95% CI 0.98–1.03, p=0.6835). Conclusion: Serum uric acid on intensive care unit admission failed to predict 90-day mortality of critically ill patients. Keywords: uric acid, critical care, mortality, risk factors