Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study
Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 fro...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Ziqiong [verfasserIn] Zhao, Liming [verfasserIn] He, Sen [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Endocrine - [S.l.] : Springer, 1995, 72(2021), 1 vom: 12. Jan., Seite 124-131 |
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| Übergeordnetes Werk: |
volume:72 ; year:2021 ; number:1 ; day:12 ; month:01 ; pages:124-131 |
| Links: |
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| DOI / URN: |
10.1007/s12020-020-02589-7 |
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SPR043922503 |
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| 245 | 1 | 0 | |a Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study |
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| 520 | |a Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. | ||
| 650 | 4 | |a Triglyceride–glucose index |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Type 2 diabetes mellitus |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Prediction |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nonlinear association |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhao, Liming |e verfasserin |4 aut | |
| 700 | 1 | |a He, Sen |e verfasserin |4 aut | |
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10.1007/s12020-020-02589-7 doi (DE-627)SPR043922503 (DE-599)SPRs12020-020-02589-7-e (SPR)s12020-020-02589-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Wang, Ziqiong verfasserin aut Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. Triglyceride–glucose index (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Prediction (dpeaa)DE-He213 Nonlinear association (dpeaa)DE-He213 Zhao, Liming verfasserin aut He, Sen verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 72(2021), 1 vom: 12. Jan., Seite 124-131 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:72 year:2021 number:1 day:12 month:01 pages:124-131 https://dx.doi.org/10.1007/s12020-020-02589-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 72 2021 1 12 01 124-131 |
| spelling |
10.1007/s12020-020-02589-7 doi (DE-627)SPR043922503 (DE-599)SPRs12020-020-02589-7-e (SPR)s12020-020-02589-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Wang, Ziqiong verfasserin aut Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. Triglyceride–glucose index (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Prediction (dpeaa)DE-He213 Nonlinear association (dpeaa)DE-He213 Zhao, Liming verfasserin aut He, Sen verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 72(2021), 1 vom: 12. Jan., Seite 124-131 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:72 year:2021 number:1 day:12 month:01 pages:124-131 https://dx.doi.org/10.1007/s12020-020-02589-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 72 2021 1 12 01 124-131 |
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10.1007/s12020-020-02589-7 doi (DE-627)SPR043922503 (DE-599)SPRs12020-020-02589-7-e (SPR)s12020-020-02589-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Wang, Ziqiong verfasserin aut Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. Triglyceride–glucose index (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Prediction (dpeaa)DE-He213 Nonlinear association (dpeaa)DE-He213 Zhao, Liming verfasserin aut He, Sen verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 72(2021), 1 vom: 12. Jan., Seite 124-131 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:72 year:2021 number:1 day:12 month:01 pages:124-131 https://dx.doi.org/10.1007/s12020-020-02589-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 72 2021 1 12 01 124-131 |
| allfieldsGer |
10.1007/s12020-020-02589-7 doi (DE-627)SPR043922503 (DE-599)SPRs12020-020-02589-7-e (SPR)s12020-020-02589-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Wang, Ziqiong verfasserin aut Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. Triglyceride–glucose index (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Prediction (dpeaa)DE-He213 Nonlinear association (dpeaa)DE-He213 Zhao, Liming verfasserin aut He, Sen verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 72(2021), 1 vom: 12. Jan., Seite 124-131 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:72 year:2021 number:1 day:12 month:01 pages:124-131 https://dx.doi.org/10.1007/s12020-020-02589-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 72 2021 1 12 01 124-131 |
| allfieldsSound |
10.1007/s12020-020-02589-7 doi (DE-627)SPR043922503 (DE-599)SPRs12020-020-02589-7-e (SPR)s12020-020-02589-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Wang, Ziqiong verfasserin aut Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. Triglyceride–glucose index (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Prediction (dpeaa)DE-He213 Nonlinear association (dpeaa)DE-He213 Zhao, Liming verfasserin aut He, Sen verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 72(2021), 1 vom: 12. Jan., Seite 124-131 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:72 year:2021 number:1 day:12 month:01 pages:124-131 https://dx.doi.org/10.1007/s12020-020-02589-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 72 2021 1 12 01 124-131 |
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Enthalten in Endocrine 72(2021), 1 vom: 12. Jan., Seite 124-131 volume:72 year:2021 number:1 day:12 month:01 pages:124-131 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR043922503</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519234417.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210501s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12020-020-02589-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR043922503</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)SPRs12020-020-02589-7-e</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12020-020-02589-7-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.89</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Ziqiong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. 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Wang, Ziqiong |
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Wang, Ziqiong ddc 610 bkl 44.89 misc Triglyceride–glucose index misc Type 2 diabetes mellitus misc Prediction misc Nonlinear association Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study |
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610 ASE 44.89 bkl Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study Triglyceride–glucose index (dpeaa)DE-He213 Type 2 diabetes mellitus (dpeaa)DE-He213 Prediction (dpeaa)DE-He213 Nonlinear association (dpeaa)DE-He213 |
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ddc 610 bkl 44.89 misc Triglyceride–glucose index misc Type 2 diabetes mellitus misc Prediction misc Nonlinear association |
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Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study |
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Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study |
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triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a chinese population in southwest china: a 15-year prospective study |
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Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study |
| abstract |
Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. |
| abstractGer |
Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. |
| abstract_unstemmed |
Purpose Triglyceride–glucose (TyG) index is an emerging surrogate predictor of incident type 2 diabetes mellitus (T2DM). The study aimed to examine the association between TyG index and incident T2DM in a prospective Chinese cohort. Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 participants. The association between TyG index and T2DM was analysed. Results During follow-up, 74 participants developed T2DM and the risk of T2DM increased with TyG index. The adjusted hazard ratio (HR) was 3.36 (95% CI: 1.52–7.39, P < 0.001) comparing the top TyG quartile to the bottom quartile. Smooth curve fitting revealed a nonlinear association and threshold effect between TyG index and incident T2DM with a nadir of risk when TyG index was around 8.51. For TyG ≤ 8.51, the risk of incident T2DM tended to decrease with per SD increase in TyG but no statistical significance was achieved (adjusted HR: 0.69, 95% CI: 0.43–1.12, P = 0.133). For TyG > 8.51, the risk of incident T2DM significantly increased by 38% with per SD increase in TyG (adjusted HR: 1.38, 95% CI: 1.14–1.67, P = 0.001). Time-dependent receiver operating curve suggested helpful discriminative power of TyG index for T2DM. It also significantly promoted the reclassification ability beyond the baseline risk model with net reclassification index of 0.159 (P = 0.020). Sensitivity analysis excluding participants with prediabetes demonstrated similar results. Conclusions The TyG index was a significant and independent predictor for future T2DM development. The shape of relationship will require further studies. |
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| container_issue |
1 |
| title_short |
Triglyceride–glucose index as predictor for future type 2 diabetes mellitus in a Chinese population in southwest China: a 15-year prospective study |
| url |
https://dx.doi.org/10.1007/s12020-020-02589-7 |
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| author2 |
Zhao, Liming He, Sen |
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Zhao, Liming He, Sen |
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| doi_str |
10.1007/s12020-020-02589-7 |
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2024-07-03T21:47:46.785Z |
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| score |
7.401087 |