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Dongdong Huang,1 Saibin Wang2 1Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang, People’s Republic of China; 2Department of Respiratory Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, 321000, Zhejiang, People’s Republic of ChinaCorrespondence: Saibin WangDepartment of Respiratory Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, 321000, Zhejiang Province, People’s Republic of ChinaTel +86 579 82552278Fax +86 579 82325006Email saibinwang@hotmail.comPurpose: Sleep duration is associated with aging. However, the relationship between sleep duration and the concentration of the protein klotho in the serum remains unknown in the general population of the United States. Hence, this study aimed at exploring the association between them.Methods: Participants whose data included klotho protein and sleep duration variables in the National Health and Nutrition Examination Survey data from 2007 to 2016 were utilized for this analysis.Results: Sleep duration was non-linearly associated with the level of klotho protein in the serum, with a negative association between sleep duration and serum klotho concentration after adjusting for confounding variables (β = − 7.6; 95% CI: − 11.3, − 4.0; P < 0.001). The conversion of the sleep duration from a continuous variable to a categorical variable (tertile: T1: < 5.5 hours; T2: 5.5– 7.5 hours; T3: > 7.5 hours) revealed that the serum klotho of the participants in the highest tertile (> 7.5 hours) was 21.9 pg/mL lower (95% CI: − 38.6, − 5.2; P = 0.01) than those in the lowest tertile (< 5.5 hours).Conclusion: Our results revealed that people who sleep more than 7.5 hours per night have decreased levels of the anti-aging protein klotho in their serum, thus being more a

Lan Chen,1 Han Zheng,2 Lijun Chen,2 Sunying Wu,2 Saibin Wang3 1Nursing Education Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province, People’s Republic of China; 2Emergency Department, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province, People’s Republic of China; 3Department of Respiratory Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, Jinhua, 321000, Zhejiang Province, People’s Republic of ChinaCorrespondence: Saibin WangDepartment of Respiratory Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua Municipal Central Hospital, No. 365, East Renmin Road, Jinhua, 321000, Zhejiang Province, People’s Republic of ChinaTel +86 579 82552278Fax +86 579 82325006Email saibinwang@hotmail.comBackground: For emergency triage, it is very important to identify patient severity according to their vital signs and chief complaint. Several studies have examined the predictive value of the National Early Warning Score (NEWS) for specific emergency patients and have shown it to be effective. However, few have studied the utility of NEWS in emergency triage for general emergency medicine patients. The aim of this research was to investigate the performance of NEWS in emergency triage with regard to predicting adverse outcomes.Methods: This was a retrospective cohort study carried out at a tertiary care center hospital in Jinhua, China. A total of 62,403 patients attending the emergency department (ED) from January to December 2018 were included. The NEWS, Modified Early Warning Score (MEWS), and quick Sepsis Related Organ Failure Assessment (qSOFA) score were obtained from emergency triage. Multivariate logistic regression analysis was performed to evaluate the associations between the NEWS, MEWS, and qSOFA, as well as

Saibin Wang,1 Junwei Tu,1 Yibin Pan2 1Department of Respiratory Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province 321000, People’s Republic of China; 2Department of Cardiovascular Medicine, Jinhua Municipal Central Hospital, Jinhua, Zhejiang Province 321000, People’s Republic of ChinaCorrespondence: Junwei TuDepartment of Respiratory Medicine, Jinhua Municipal Central Hospital, No. 365, East Renmin Road, Jinhua, Zhejiang Province 321000, People’s Republic of ChinaTel +86 579 82552278Fax +86 579 82325006Email junweiau@126.comYibin PanDepartment of Cardiovascular Medicine, Jinhua Municipal Central Hospital, No. 365, East Renmin Road, Jinhua, Zhejiang Province 321000, People’s Republic of ChinaTel +86 579 82552926Fax +86 579 82552927Email 18851733351@163.comBackground: Previous studies have suggested that the non-high-density lipoprotein cholesterol (non-HDL-C) is strongly associated with metabolic syndrome (MetS); however, the explicit relationship between them has not yet been clarified. The aim of this study was to reveal the explicit association between the non-HDL-C with MetS.Methods: The present study was based on a cross-sectional study, which was carried out in Spain. A total of 60,799 workers were recruited between 2012 and 2016. Anthropometric parameters and blood indices (lipid profile and fasting blood glucose) were collected. Participants were divided into the MetS group or the non-MetS group based on the criteria of the National Cholesterol Education Program Adult Treatment Panel III. The relationship between serum non-HDL-C and the risk of MetS was evaluated using multivariate regression analysis, piece-wise linear regression analysis, smooth curve fitting and threshold saturation effect analysis after adjustment of potential confounders.Results: The risk of developing MetS increased with increasing non-HDL-C level. However, this association was only presented in the range of the non-HDL-C conc