FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309784003> ?p ?o ?g. }

• W4309784003 endingPage "e14346" @default.
• W4309784003 startingPage "e14346" @default.
• W4309784003 abstract "Background The triglycerides-glucose index (TyG) and the triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) are simple indicators for assessing insulin resistance in epidemiological studies. We aimed to clarify the relationship between indicators of insulin resistance and prognosis in non-diabetic acute myocardial infarction (AMI) patients. Methods A total of 1,648 AMI patients without diabetes were enrolled from the Department of Cardiology, Zhongda Hospital, between 2012.03 and 2018.12. The medical history, laboratory and imaging data of patients were collected through the medical record system, and all-cause death events were recorded. Pearson analysis was used to study the correlation among different variables. Logistic regression analysis was used to analyze the predictive effect of TyG and TG/HDL-C in in-hospital death of AMI patients. Results 1. In AMI group, the TyG index was significantly increased in death groups compared to no-death groups ( P = 0.025). TG/HDL-C was not significantly increased in the death group of AMI patients ( P = 0.588). The patients were respectively divided into Q1-Q4 groups and T1-T4 groups according to the quartiles of TyG and TG/HDL-C. The trends of in-hospital mortality in the Q4 group of TyG and T4 group of TG/HDL-C were higher than in other groups, although these differences were not significant. 2. Pearson correlation analysis showed that TyG was positively correlated with lipid-related markers, including ApoB ( r = 0.248, P < 0.001), total cholesterol (TC) ( r = 0.270, P < 0.001), low-density lipoprotein cholesterol (LDL-C) ( r = 0.238, P < 0.001). Spearman analysis showed that TG/HDL-C was also positively associated with TC ( r = 0.107, P < 0.001), ApoB ( r = 0.180, P < 0.001) and LDL-C ( r = 0.164, P < 0.001). 3. Logistic regression analysis showed that TyG (OR = 3.106, 95% CI [2.122–4.547], P < 0.001) and TG/HDL-C (OR = 1.167, 95% CI [1.062–1.282], P = 0.001) were both important factors to predict the in-hospital death of AMI patients without diabetes. Conclusions TyG index and TG/HDL-C, as emerged simple markers of insulin resistance, were both important predictors of in-hospital death in AMI patients without diabetes." @default.
• W4309784003 created "2022-11-29" @default.
• W4309784003 creator A5001750560 @default.
• W4309784003 creator A5022024517 @default.
• W4309784003 creator A5022428359 @default.
• W4309784003 creator A5031223070 @default.
• W4309784003 creator A5032979662 @default.
• W4309784003 creator A5051035066 @default.
• W4309784003 creator A5069032292 @default.
• W4309784003 creator A5073137670 @default.
• W4309784003 creator A5073609006 @default.
• W4309784003 date "2022-11-21" @default.
• W4309784003 modified "2023-10-14" @default.
• W4309784003 title "The triglycerides-glucose index and the triglycerides to high-density lipoprotein cholesterol ratio are both effective predictors of in-hospital death in non-diabetic patients with AMI" @default.
• W4309784003 cites W2010972074 @default.
• W4309784003 cites W2051625732 @default.
• W4309784003 cites W2053091858 @default.
• W4309784003 cites W2070819982 @default.
• W4309784003 cites W2085078302 @default.
• W4309784003 cites W2089770443 @default.
• W4309784003 cites W2098332177 @default.
• W4309784003 cites W2162095820 @default.
• W4309784003 cites W2169549977 @default.
• W4309784003 cites W2414251901 @default.
• W4309784003 cites W2417783084 @default.
• W4309784003 cites W2636901234 @default.
• W4309784003 cites W2734654187 @default.
• W4309784003 cites W2794731784 @default.
• W4309784003 cites W2806152807 @default.
• W4309784003 cites W2888814360 @default.
• W4309784003 cites W2891752370 @default.
• W4309784003 cites W2924175620 @default.
• W4309784003 cites W2947883860 @default.
• W4309784003 cites W2950713237 @default.
• W4309784003 cites W2955287942 @default.
• W4309784003 cites W2968653227 @default.
• W4309784003 cites W2971576504 @default.
• W4309784003 cites W2989584841 @default.
• W4309784003 cites W3025837823 @default.
• W4309784003 cites W3034377521 @default.
• W4309784003 cites W3036841572 @default.
• W4309784003 cites W3107613279 @default.
• W4309784003 cites W3133521311 @default.
• W4309784003 cites W3134791785 @default.
• W4309784003 cites W3135254827 @default.
• W4309784003 cites W3136514165 @default.
• W4309784003 cites W3154944166 @default.
• W4309784003 cites W3181510010 @default.
• W4309784003 cites W3181937406 @default.
• W4309784003 cites W3184395450 @default.
• W4309784003 cites W3198123270 @default.
• W4309784003 cites W4200196508 @default.
• W4309784003 cites W4210527197 @default.
• W4309784003 cites W4211143906 @default.
• W4309784003 doi "https://doi.org/10.7717/peerj.14346" @default.
• W4309784003 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36438585" @default.
• W4309784003 hasPublicationYear "2022" @default.
• W4309784003 type Work @default.
• W4309784003 citedByCount "1" @default.
• W4309784003 countsByYear W43097840032023 @default.
• W4309784003 crossrefType "journal-article" @default.
• W4309784003 hasAuthorship W4309784003A5001750560 @default.
• W4309784003 hasAuthorship W4309784003A5022024517 @default.
• W4309784003 hasAuthorship W4309784003A5022428359 @default.
• W4309784003 hasAuthorship W4309784003A5031223070 @default.
• W4309784003 hasAuthorship W4309784003A5032979662 @default.
• W4309784003 hasAuthorship W4309784003A5051035066 @default.
• W4309784003 hasAuthorship W4309784003A5069032292 @default.
• W4309784003 hasAuthorship W4309784003A5073137670 @default.
• W4309784003 hasAuthorship W4309784003A5073609006 @default.
• W4309784003 hasBestOaLocation W43097840031 @default.
• W4309784003 hasConcept C126322002 @default.
• W4309784003 hasConcept C134018914 @default.
• W4309784003 hasConcept C151956035 @default.
• W4309784003 hasConcept C2776652674 @default.
• W4309784003 hasConcept C2777391703 @default.
• W4309784003 hasConcept C2778163477 @default.
• W4309784003 hasConcept C2779306644 @default.
• W4309784003 hasConcept C2780473172 @default.
• W4309784003 hasConcept C2780541478 @default.
• W4309784003 hasConcept C44249647 @default.
• W4309784003 hasConcept C500558357 @default.
• W4309784003 hasConcept C555293320 @default.
• W4309784003 hasConcept C62746215 @default.
• W4309784003 hasConcept C68443243 @default.
• W4309784003 hasConcept C71924100 @default.
• W4309784003 hasConceptScore W4309784003C126322002 @default.
• W4309784003 hasConceptScore W4309784003C134018914 @default.
• W4309784003 hasConceptScore W4309784003C151956035 @default.
• W4309784003 hasConceptScore W4309784003C2776652674 @default.
• W4309784003 hasConceptScore W4309784003C2777391703 @default.
• W4309784003 hasConceptScore W4309784003C2778163477 @default.
• W4309784003 hasConceptScore W4309784003C2779306644 @default.
• W4309784003 hasConceptScore W4309784003C2780473172 @default.
• W4309784003 hasConceptScore W4309784003C2780541478 @default.
• W4309784003 hasConceptScore W4309784003C44249647 @default.
• W4309784003 hasConceptScore W4309784003C500558357 @default.
• W4309784003 hasConceptScore W4309784003C555293320 @default.

• next