Cargando…

Influence of renal function on the ability of TyG Index to predict all-cause mortality

BACKGROUND: The association between triglyceride–glucose (TyG) index and poor prognosis remains controversial. Whether renal function status affects the ability of the TyG index to predict poor prognosis has not yet been elucidated and merits further studies. METHODS: This retrospective cohort study...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Huilan, Chen, Weihua, Lin, Xueqin, Chen, Weiqin, Xie, Tingzheng, Chen, Kaihong, Hou, Shuhong, Li, Huaqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638822/
https://www.ncbi.nlm.nih.gov/pubmed/37951945
http://dx.doi.org/10.1186/s12944-023-01958-1
_version_ 1785133679851339776
author Li, Huilan
Chen, Weihua
Lin, Xueqin
Chen, Weiqin
Xie, Tingzheng
Chen, Kaihong
Hou, Shuhong
Li, Huaqing
author_facet Li, Huilan
Chen, Weihua
Lin, Xueqin
Chen, Weiqin
Xie, Tingzheng
Chen, Kaihong
Hou, Shuhong
Li, Huaqing
author_sort Li, Huilan
collection PubMed
description BACKGROUND: The association between triglyceride–glucose (TyG) index and poor prognosis remains controversial. Whether renal function status affects the ability of the TyG index to predict poor prognosis has not yet been elucidated and merits further studies. METHODS: This retrospective cohort study included 22,031 participants from communities in the U.S. By juxtaposing the TyG categories with the estimated glomerular filtration rate (eGFR, either < 60 mL/min/1.73m(2) or ≥ 60 mL/min/1.73m(2)), participants were categorized into four distinct groups: (1) TyG_L/eGFR_H; (2) TyG_H/eGFR_H; (3) TyG_L/eGFR_L; and (4) TyG_H/eGFR_L. The endpoint was the all-cause mortality rate. Standard Kaplan–Meier plots were constructed and multifactor Cox regression analyses were carried out and restricted cubic spline regression analysis was utilized to assess the association between death and the TyG index for different renal function statuses. RESULTS: No statistical differences were found in the TyG groups in participants with normal renal function after adjustment for all covariates (P = 0.070). However, in the high TyG index group with renal insufficiency, the risk of all-cause mortality rates was reduced by 18%. (HR, 0.82; CI, 0.69–0.98). The TyG index (high vs. low) and renal function (eGFR < 60 vs. eGFR ≥ 60) had statistically significant interactions with death (P < 0.001). When all covariates were adjusted, the risk of mortality for the TyG_L combined with eGFR_L group was 56% higher than that for the TyG_L combined with eGFR_H group (HR, 1.56; CI, 1.33–1.82). In the renal insufficiency population, a nonlinear relationship was observed between mortality and the TyG index, albeit with a differing pattern (P for nonlinearity < 0.001). CONCLUSIONS: While it has been known that TyG index was a prognosis marker of CVD, this research highlights that higher TyG index was associated with higher all-cause mortality rates for all participants. Furthermore, renal function status significantly moderates the effect of the TyG index on all-cause mortality in community-dwelling adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01958-1.
format Online
Article
Text
id pubmed-10638822
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106388222023-11-11 Influence of renal function on the ability of TyG Index to predict all-cause mortality Li, Huilan Chen, Weihua Lin, Xueqin Chen, Weiqin Xie, Tingzheng Chen, Kaihong Hou, Shuhong Li, Huaqing Lipids Health Dis Research BACKGROUND: The association between triglyceride–glucose (TyG) index and poor prognosis remains controversial. Whether renal function status affects the ability of the TyG index to predict poor prognosis has not yet been elucidated and merits further studies. METHODS: This retrospective cohort study included 22,031 participants from communities in the U.S. By juxtaposing the TyG categories with the estimated glomerular filtration rate (eGFR, either < 60 mL/min/1.73m(2) or ≥ 60 mL/min/1.73m(2)), participants were categorized into four distinct groups: (1) TyG_L/eGFR_H; (2) TyG_H/eGFR_H; (3) TyG_L/eGFR_L; and (4) TyG_H/eGFR_L. The endpoint was the all-cause mortality rate. Standard Kaplan–Meier plots were constructed and multifactor Cox regression analyses were carried out and restricted cubic spline regression analysis was utilized to assess the association between death and the TyG index for different renal function statuses. RESULTS: No statistical differences were found in the TyG groups in participants with normal renal function after adjustment for all covariates (P = 0.070). However, in the high TyG index group with renal insufficiency, the risk of all-cause mortality rates was reduced by 18%. (HR, 0.82; CI, 0.69–0.98). The TyG index (high vs. low) and renal function (eGFR < 60 vs. eGFR ≥ 60) had statistically significant interactions with death (P < 0.001). When all covariates were adjusted, the risk of mortality for the TyG_L combined with eGFR_L group was 56% higher than that for the TyG_L combined with eGFR_H group (HR, 1.56; CI, 1.33–1.82). In the renal insufficiency population, a nonlinear relationship was observed between mortality and the TyG index, albeit with a differing pattern (P for nonlinearity < 0.001). CONCLUSIONS: While it has been known that TyG index was a prognosis marker of CVD, this research highlights that higher TyG index was associated with higher all-cause mortality rates for all participants. Furthermore, renal function status significantly moderates the effect of the TyG index on all-cause mortality in community-dwelling adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01958-1. BioMed Central 2023-11-11 /pmc/articles/PMC10638822/ /pubmed/37951945 http://dx.doi.org/10.1186/s12944-023-01958-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Huilan
Chen, Weihua
Lin, Xueqin
Chen, Weiqin
Xie, Tingzheng
Chen, Kaihong
Hou, Shuhong
Li, Huaqing
Influence of renal function on the ability of TyG Index to predict all-cause mortality
title Influence of renal function on the ability of TyG Index to predict all-cause mortality
title_full Influence of renal function on the ability of TyG Index to predict all-cause mortality
title_fullStr Influence of renal function on the ability of TyG Index to predict all-cause mortality
title_full_unstemmed Influence of renal function on the ability of TyG Index to predict all-cause mortality
title_short Influence of renal function on the ability of TyG Index to predict all-cause mortality
title_sort influence of renal function on the ability of tyg index to predict all-cause mortality
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638822/
https://www.ncbi.nlm.nih.gov/pubmed/37951945
http://dx.doi.org/10.1186/s12944-023-01958-1
work_keys_str_mv AT lihuilan influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT chenweihua influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT linxueqin influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT chenweiqin influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT xietingzheng influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT chenkaihong influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT houshuhong influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality
AT lihuaqing influenceofrenalfunctionontheabilityoftygindextopredictallcausemortality