Triglyceride-glucose index as a valuable predictor for aged 65-years and above in critical delirium patients: evidence from a multi-center study

Background The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 ye...

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Published inBMC geriatrics Vol. 23; no. 1; pp. 1 - 11
Main Authors Huang, Xiaxuan, Cheng, Hongtao, Yuan, Shiqi, Ling, Yitong, Tan, Shanyuan, Tang, Yonglan, Niu, Chen, Lyu, Jun
Format Journal Article
LanguageEnglish
Published London BioMed Central Ltd 30.10.2023
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Abstract Background The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older. Methods We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium. Results Participants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 ([greater than or equal to] 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences. Conclusion This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention. Keywords: Triglyceride glucose index, Insulin resistance, Delirium, Older adults, Critical care
AbstractList The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older. We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium. This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.
Abstract Background The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older. Methods We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium. Results Participants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 (≥ 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences. Conclusion This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.
BackgroundThe triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older.MethodsWe focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium.ResultsParticipants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 (≥ 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences.ConclusionThis study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.
The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older.BACKGROUNDThe triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older.We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium.METHODSWe focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium.Participants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 (≥ 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences.RESULTSParticipants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 (≥ 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences.This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.CONCLUSIONThis study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.
Background The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older. Methods We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium. Results Participants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 ([greater than or equal to] 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences. Conclusion This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention. Keywords: Triglyceride glucose index, Insulin resistance, Delirium, Older adults, Critical care
ArticleNumber 701
Audience Academic
Author Ling, Yitong
Huang, Xiaxuan
Tan, Shanyuan
Lyu, Jun
Cheng, Hongtao
Tang, Yonglan
Niu, Chen
Yuan, Shiqi
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Cites_doi 10.1007/s00134-021-06503-1
10.1186/s13613-019-0548-1
10.1016/S2213-2600(18)30062-6
10.3389/fnagi.2021.626127
10.1007/s11596-021-2467-2
10.1046/j.1532-5415.2003.51151.x
10.1007/s00134-015-3964-1
10.1038/nm.2613
10.1007/s40520-023-02429-4
10.1210/er.2018-00141
10.1111/jebm.12373
10.1007/s00134-023-07029-4
10.2174/138161210793176572
10.3390/ijms22189987
10.3390/ijms24043278
10.1186/s13195-020-00758-4
10.1016/S0140-6736(13)60688-1
10.1186/s12933-023-01843-2
10.1186/s40779-021-00338-z
10.1210/en.2012-1661
10.1016/j.jagp.2021.02.043
10.1093/ije/dyz053
10.1186/s12933-022-01563-z
10.3233/JAD-215139
10.1186/s13024-019-0322-8
10.1097/CCM.0b013e3181e47be1
10.1186/s12933-021-01238-1
10.1016/j.jad.2022.08.014
10.1016/j.ijnurstu.2020.103782
10.1016/j.cjca.2015.05.015
10.1186/s13024-019-0315-7
10.1210/jc.2010-0288
10.1136/bmj.n1007
10.1016/S1474-4422(08)70294-1
10.1007/s00134-022-06650-z
10.1111/j.1471-4159.2005.03155.x
10.1136/bmjopen-2021-050765
10.1001/jamaneurol.2013.5847
10.3389/fmed.2020.591036
10.1074/jbc.M109.011015
10.1523/JNEUROSCI.23-18-07084.2003
10.1093/brain/awx256
10.1186/s12933-023-01874-9
10.1038/sdata.2018.178
10.2147/NDT.S405426
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References GS Bloom (4420_CR33) 2014; 71
WT Wu (4420_CR20) 2021; 8
AJ Frenette (4420_CR25) 2016; 42
JG Mielke (4420_CR31) 2005; 93
AK Torres (4420_CR34) 2021; 84
P Agostinho (4420_CR44) 2010; 16
WQ Zhao (4420_CR30) 2009; 284
S Hong (4420_CR38) 2021; 13
A Sędzikowska (4420_CR47) 2021; 22
J Fritz (4420_CR14) 2020; 49
A Wang (4420_CR15) 2021; 20
JW Unger (4420_CR28) 1998; 13
ME Wilcox (4420_CR3) 2021; 373
T Wakabayashi (4420_CR45) 2019; 14
S Deb (4420_CR27) 2016; 32
JJ Volpe (4420_CR7) 2009; 8
F Guerrero-Romero (4420_CR32) 2010; 95
Q Huang (4420_CR35) 2021; 29
P Rodriguez-Rodriguez (4420_CR41) 2017; 140
Y Liao (4420_CR17) 2022; 21
AP Nassar (4420_CR6) 2023; 49
G Bellelli (4420_CR8) 2021; 13
R Kakuma (4420_CR10) 2003; 51
K Wang (4420_CR18) 2022; 316
A Di Pino (4420_CR13) 2019; 40
M Young (4420_CR24) 2022; 48
G Pandini (4420_CR29) 2013; 154
P Lei (4420_CR40) 2012; 18
L Cheng (4420_CR23) 2023; 22
J Avila (4420_CR42) 2012; 2012
K Toft (4420_CR2) 2019; 9
TJ Pollard (4420_CR21) 2018; 5
B Zhang (4420_CR22) 2020; 7
SK Inouye (4420_CR9) 2014; 383
Z Ye (4420_CR16) 2023; 22
MA Micci (4420_CR43) 2019; 14
JL Stollings (4420_CR1) 2021; 47
4420_CR11
Q Huang (4420_CR36) 2023; 19
M Schubert (4420_CR39) 2003; 23
TJ Chen (4420_CR26) 2021; 113
T Li (4420_CR46) 2021; 41
J Yang (4420_CR19) 2020; 13
A Nitchingham (4420_CR37) 2021; 11
TD Girard (4420_CR4) 2010; 38
J Wang (4420_CR12) 2023; 35
TD Girard (4420_CR5) 2018; 6
References_xml – volume: 47
  start-page: 1089
  year: 2021
  ident: 4420_CR1
  publication-title: INTENS CARE MED
  doi: 10.1007/s00134-021-06503-1
– volume: 9
  start-page: 76
  year: 2019
  ident: 4420_CR2
  publication-title: ANN INTENSIVE CARE
  doi: 10.1186/s13613-019-0548-1
– volume: 6
  start-page: 213
  year: 2018
  ident: 4420_CR5
  publication-title: LANCET RESP MED
  doi: 10.1016/S2213-2600(18)30062-6
– volume: 13
  start-page: 626127
  year: 2021
  ident: 4420_CR8
  publication-title: FRONT AGING NEUROSCI
  doi: 10.3389/fnagi.2021.626127
– volume: 41
  start-page: 1165
  year: 2021
  ident: 4420_CR46
  publication-title: CURR MED SCI
  doi: 10.1007/s11596-021-2467-2
– volume: 51
  start-page: 443
  year: 2003
  ident: 4420_CR10
  publication-title: J AM GERIATR SOC
  doi: 10.1046/j.1532-5415.2003.51151.x
– volume: 42
  start-page: 122
  year: 2016
  ident: 4420_CR25
  publication-title: INTENS CARE MED
  doi: 10.1007/s00134-015-3964-1
– volume: 18
  start-page: 291
  year: 2012
  ident: 4420_CR40
  publication-title: NAT MED
  doi: 10.1038/nm.2613
– volume: 35
  start-page: 1521
  year: 2023
  ident: 4420_CR12
  publication-title: AGING CLIN EXP RES
  doi: 10.1007/s40520-023-02429-4
– volume: 40
  start-page: 1447
  year: 2019
  ident: 4420_CR13
  publication-title: ENDOCR REV
  doi: 10.1210/er.2018-00141
– volume: 13
  start-page: 57
  year: 2020
  ident: 4420_CR19
  publication-title: J EVID-BASED MED
  doi: 10.1111/jebm.12373
– volume: 49
  start-page: 677
  year: 2023
  ident: 4420_CR6
  publication-title: INTENS CARE MED
  doi: 10.1007/s00134-023-07029-4
– volume: 16
  start-page: 2766
  year: 2010
  ident: 4420_CR44
  publication-title: CURR PHARM DESIGN
  doi: 10.2174/138161210793176572
– volume: 22
  start-page: 9987
  year: 2021
  ident: 4420_CR47
  publication-title: Int J Mol Sci
  doi: 10.3390/ijms22189987
– ident: 4420_CR11
  doi: 10.3390/ijms24043278
– volume: 13
  start-page: 9
  year: 2021
  ident: 4420_CR38
  publication-title: ALZHEIMERS RES THER
  doi: 10.1186/s13195-020-00758-4
– volume: 383
  start-page: 911
  year: 2014
  ident: 4420_CR9
  publication-title: Lancet
  doi: 10.1016/S0140-6736(13)60688-1
– volume: 22
  start-page: 110
  year: 2023
  ident: 4420_CR16
  publication-title: CARDIOVASC DIABETOL
  doi: 10.1186/s12933-023-01843-2
– volume: 8
  start-page: 44
  year: 2021
  ident: 4420_CR20
  publication-title: MILITARY MED RES
  doi: 10.1186/s40779-021-00338-z
– volume: 154
  start-page: 375
  year: 2013
  ident: 4420_CR29
  publication-title: Endocrinology
  doi: 10.1210/en.2012-1661
– volume: 29
  start-page: 1202
  year: 2021
  ident: 4420_CR35
  publication-title: AM J GERIAT PSYCHIAT
  doi: 10.1016/j.jagp.2021.02.043
– volume: 49
  start-page: 193
  year: 2020
  ident: 4420_CR14
  publication-title: INT J EPIDEMIOL
  doi: 10.1093/ije/dyz053
– volume: 21
  start-page: 128
  year: 2022
  ident: 4420_CR17
  publication-title: CARDIOVASC DIABETOL
  doi: 10.1186/s12933-022-01563-z
– volume: 84
  start-page: 1391
  year: 2021
  ident: 4420_CR34
  publication-title: J ALZHEIMERS DIS
  doi: 10.3233/JAD-215139
– volume: 2012
  start-page: 578373
  year: 2012
  ident: 4420_CR42
  publication-title: Int J Alzheimers Dis
– volume: 14
  start-page: 25
  year: 2019
  ident: 4420_CR43
  publication-title: MOL NEURODEGENER
  doi: 10.1186/s13024-019-0322-8
– volume: 38
  start-page: 1513
  year: 2010
  ident: 4420_CR4
  publication-title: CRIT CARE MED
  doi: 10.1097/CCM.0b013e3181e47be1
– volume: 20
  start-page: 46
  year: 2021
  ident: 4420_CR15
  publication-title: CARDIOVASC DIABETOL
  doi: 10.1186/s12933-021-01238-1
– volume: 316
  start-page: 42
  year: 2022
  ident: 4420_CR18
  publication-title: J AFFECT DISORDERS
  doi: 10.1016/j.jad.2022.08.014
– volume: 113
  start-page: 103782
  year: 2021
  ident: 4420_CR26
  publication-title: INT J NURS STUD
  doi: 10.1016/j.ijnurstu.2020.103782
– volume: 32
  start-page: 259
  year: 2016
  ident: 4420_CR27
  publication-title: CAN J CARDIOL
  doi: 10.1016/j.cjca.2015.05.015
– volume: 14
  start-page: 15
  year: 2019
  ident: 4420_CR45
  publication-title: MOL NEURODEGENER
  doi: 10.1186/s13024-019-0315-7
– volume: 95
  start-page: 3347
  year: 2010
  ident: 4420_CR32
  publication-title: J CLIN ENDOCR METAB
  doi: 10.1210/jc.2010-0288
– volume: 373
  start-page: n1007
  year: 2021
  ident: 4420_CR3
  publication-title: BMJ-BRIT MED J
  doi: 10.1136/bmj.n1007
– volume: 8
  start-page: 110
  year: 2009
  ident: 4420_CR7
  publication-title: LANCET NEUROL
  doi: 10.1016/S1474-4422(08)70294-1
– volume: 48
  start-page: 559
  year: 2022
  ident: 4420_CR24
  publication-title: INTENS CARE MED
  doi: 10.1007/s00134-022-06650-z
– volume: 13
  start-page: 1215
  year: 1998
  ident: 4420_CR28
  publication-title: HISTOL HISTOPATHOL
– volume: 93
  start-page: 1568
  year: 2005
  ident: 4420_CR31
  publication-title: J NEUROCHEM
  doi: 10.1111/j.1471-4159.2005.03155.x
– volume: 11
  start-page: e50765
  year: 2021
  ident: 4420_CR37
  publication-title: BMJ OPEN
  doi: 10.1136/bmjopen-2021-050765
– volume: 71
  start-page: 505
  year: 2014
  ident: 4420_CR33
  publication-title: JAMA NEUROL
  doi: 10.1001/jamaneurol.2013.5847
– volume: 7
  start-page: 591036
  year: 2020
  ident: 4420_CR22
  publication-title: FRONT MED-LAUSANNE
  doi: 10.3389/fmed.2020.591036
– volume: 284
  start-page: 18742
  year: 2009
  ident: 4420_CR30
  publication-title: J BIOL CHEM
  doi: 10.1074/jbc.M109.011015
– volume: 23
  start-page: 7084
  year: 2003
  ident: 4420_CR39
  publication-title: J NEUROSCI
  doi: 10.1523/JNEUROSCI.23-18-07084.2003
– volume: 140
  start-page: 3269
  year: 2017
  ident: 4420_CR41
  publication-title: Brain
  doi: 10.1093/brain/awx256
– volume: 22
  start-page: 142
  year: 2023
  ident: 4420_CR23
  publication-title: CARDIOVASC DIABETOL
  doi: 10.1186/s12933-023-01874-9
– volume: 5
  start-page: 180178
  year: 2018
  ident: 4420_CR21
  publication-title: SCI DATA
  doi: 10.1038/sdata.2018.178
– volume: 19
  start-page: 1017
  year: 2023
  ident: 4420_CR36
  publication-title: NEUROPSYCH DIS TREAT
  doi: 10.2147/NDT.S405426
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Snippet Background The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic...
The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders....
BackgroundThe triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic...
Abstract Background The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several...
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StartPage 1
SubjectTerms Analysis
Blood sugar
Cardiovascular disease
Care and treatment
Cerebrovascular disease
Creatinine
Critical care
Delirium
Dextrose
Diabetes
Diagnosis
Ethnicity
Geriatrics
Glucose
Health aspects
Heart attacks
Heart failure
Hypertension
Insulin
Insulin resistance
Intensive care
Kidney diseases
Medical research
Medicine, Experimental
Metabolic disorders
Metabolism
Mortality
Older adults
Older people
Potassium
Prognosis
Risk assessment
Sensitivity analysis
Sepsis
Structured Query Language-SQL
Triglyceride glucose index
Triglycerides
Variables
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Title Triglyceride-glucose index as a valuable predictor for aged 65-years and above in critical delirium patients: evidence from a multi-center study
URI https://www.proquest.com/docview/2890058614
https://www.proquest.com/docview/2884674891
https://pubmed.ncbi.nlm.nih.gov/PMC10617052
https://doaj.org/article/154e11fc95494c7c99fbe2fcac577c19
Volume 23
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