Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease

ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Peipei Liu [verfasserIn] Junjuan Li [verfasserIn] Ling Yang [verfasserIn] Zihao Zhang [verfasserIn] Hua Zhao [verfasserIn] Naihui Zhao [verfasserIn] Wenli Ou [verfasserIn] Yinggen Zhang [verfasserIn] Shuohua Chen [verfasserIn] Guodong Wang [verfasserIn] Xiaofu Zhang [verfasserIn] Shouling Wu [verfasserIn] Xiuhong Yang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR

Übergeordnetes Werk:	In: Frontiers in Endocrinology - Frontiers Media S.A., 2011, 14(2023)
Übergeordnetes Werk:	volume:14 ; year:2023

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fendo.2023.1269580

Katalog-ID:	DOAJ099252716

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245	1	0	\|a Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
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520			\|a ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement.
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653		0	\|a Diseases of the endocrine glands. Clinical endocrinology
700	0		\|a Junjuan Li \|e verfasserin \|4 aut
700	0		\|a Ling Yang \|e verfasserin \|4 aut
700	0		\|a Zihao Zhang \|e verfasserin \|4 aut
700	0		\|a Hua Zhao \|e verfasserin \|4 aut
700	0		\|a Naihui Zhao \|e verfasserin \|4 aut
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700	0		\|a Yinggen Zhang \|e verfasserin \|4 aut
700	0		\|a Shuohua Chen \|e verfasserin \|4 aut
700	0		\|a Guodong Wang \|e verfasserin \|4 aut
700	0		\|a Xiaofu Zhang \|e verfasserin \|4 aut
700	0		\|a Shouling Wu \|e verfasserin \|4 aut
700	0		\|a Xiuhong Yang \|e verfasserin \|4 aut
700	0		\|a Xiuhong Yang \|e verfasserin \|4 aut
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allfields	10.3389/fendo.2023.1269580 doi (DE-627)DOAJ099252716 (DE-599)DOAJ7771473c6fe245cab191871bb4c7462a DE-627 ger DE-627 rakwb eng RC648-665 Peipei Liu verfasserin aut Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement. chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR Diseases of the endocrine glands. Clinical endocrinology Junjuan Li verfasserin aut Ling Yang verfasserin aut Zihao Zhang verfasserin aut Hua Zhao verfasserin aut Naihui Zhao verfasserin aut Wenli Ou verfasserin aut Yinggen Zhang verfasserin aut Shuohua Chen verfasserin aut Guodong Wang verfasserin aut Xiaofu Zhang verfasserin aut Shouling Wu verfasserin aut Xiuhong Yang verfasserin aut Xiuhong Yang verfasserin aut In Frontiers in Endocrinology Frontiers Media S.A., 2011 14(2023) (DE-627)645090948 (DE-600)2592084-4 16642392 nnns volume:14 year:2023 https://doi.org/10.3389/fendo.2023.1269580 kostenfrei https://doaj.org/article/7771473c6fe245cab191871bb4c7462a kostenfrei https://www.frontiersin.org/articles/10.3389/fendo.2023.1269580/full kostenfrei https://doaj.org/toc/1664-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023
spelling	10.3389/fendo.2023.1269580 doi (DE-627)DOAJ099252716 (DE-599)DOAJ7771473c6fe245cab191871bb4c7462a DE-627 ger DE-627 rakwb eng RC648-665 Peipei Liu verfasserin aut Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement. chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR Diseases of the endocrine glands. Clinical endocrinology Junjuan Li verfasserin aut Ling Yang verfasserin aut Zihao Zhang verfasserin aut Hua Zhao verfasserin aut Naihui Zhao verfasserin aut Wenli Ou verfasserin aut Yinggen Zhang verfasserin aut Shuohua Chen verfasserin aut Guodong Wang verfasserin aut Xiaofu Zhang verfasserin aut Shouling Wu verfasserin aut Xiuhong Yang verfasserin aut Xiuhong Yang verfasserin aut In Frontiers in Endocrinology Frontiers Media S.A., 2011 14(2023) (DE-627)645090948 (DE-600)2592084-4 16642392 nnns volume:14 year:2023 https://doi.org/10.3389/fendo.2023.1269580 kostenfrei https://doaj.org/article/7771473c6fe245cab191871bb4c7462a kostenfrei https://www.frontiersin.org/articles/10.3389/fendo.2023.1269580/full kostenfrei https://doaj.org/toc/1664-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023
allfields_unstemmed	10.3389/fendo.2023.1269580 doi (DE-627)DOAJ099252716 (DE-599)DOAJ7771473c6fe245cab191871bb4c7462a DE-627 ger DE-627 rakwb eng RC648-665 Peipei Liu verfasserin aut Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement. chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR Diseases of the endocrine glands. Clinical endocrinology Junjuan Li verfasserin aut Ling Yang verfasserin aut Zihao Zhang verfasserin aut Hua Zhao verfasserin aut Naihui Zhao verfasserin aut Wenli Ou verfasserin aut Yinggen Zhang verfasserin aut Shuohua Chen verfasserin aut Guodong Wang verfasserin aut Xiaofu Zhang verfasserin aut Shouling Wu verfasserin aut Xiuhong Yang verfasserin aut Xiuhong Yang verfasserin aut In Frontiers in Endocrinology Frontiers Media S.A., 2011 14(2023) (DE-627)645090948 (DE-600)2592084-4 16642392 nnns volume:14 year:2023 https://doi.org/10.3389/fendo.2023.1269580 kostenfrei https://doaj.org/article/7771473c6fe245cab191871bb4c7462a kostenfrei https://www.frontiersin.org/articles/10.3389/fendo.2023.1269580/full kostenfrei https://doaj.org/toc/1664-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023
allfieldsGer	10.3389/fendo.2023.1269580 doi (DE-627)DOAJ099252716 (DE-599)DOAJ7771473c6fe245cab191871bb4c7462a DE-627 ger DE-627 rakwb eng RC648-665 Peipei Liu verfasserin aut Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement. chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR Diseases of the endocrine glands. Clinical endocrinology Junjuan Li verfasserin aut Ling Yang verfasserin aut Zihao Zhang verfasserin aut Hua Zhao verfasserin aut Naihui Zhao verfasserin aut Wenli Ou verfasserin aut Yinggen Zhang verfasserin aut Shuohua Chen verfasserin aut Guodong Wang verfasserin aut Xiaofu Zhang verfasserin aut Shouling Wu verfasserin aut Xiuhong Yang verfasserin aut Xiuhong Yang verfasserin aut In Frontiers in Endocrinology Frontiers Media S.A., 2011 14(2023) (DE-627)645090948 (DE-600)2592084-4 16642392 nnns volume:14 year:2023 https://doi.org/10.3389/fendo.2023.1269580 kostenfrei https://doaj.org/article/7771473c6fe245cab191871bb4c7462a kostenfrei https://www.frontiersin.org/articles/10.3389/fendo.2023.1269580/full kostenfrei https://doaj.org/toc/1664-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023
allfieldsSound	10.3389/fendo.2023.1269580 doi (DE-627)DOAJ099252716 (DE-599)DOAJ7771473c6fe245cab191871bb4c7462a DE-627 ger DE-627 rakwb eng RC648-665 Peipei Liu verfasserin aut Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement. chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR Diseases of the endocrine glands. Clinical endocrinology Junjuan Li verfasserin aut Ling Yang verfasserin aut Zihao Zhang verfasserin aut Hua Zhao verfasserin aut Naihui Zhao verfasserin aut Wenli Ou verfasserin aut Yinggen Zhang verfasserin aut Shuohua Chen verfasserin aut Guodong Wang verfasserin aut Xiaofu Zhang verfasserin aut Shouling Wu verfasserin aut Xiuhong Yang verfasserin aut Xiuhong Yang verfasserin aut In Frontiers in Endocrinology Frontiers Media S.A., 2011 14(2023) (DE-627)645090948 (DE-600)2592084-4 16642392 nnns volume:14 year:2023 https://doi.org/10.3389/fendo.2023.1269580 kostenfrei https://doaj.org/article/7771473c6fe245cab191871bb4c7462a kostenfrei https://www.frontiersin.org/articles/10.3389/fendo.2023.1269580/full kostenfrei https://doaj.org/toc/1664-2392 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023
language	English
source	In Frontiers in Endocrinology 14(2023) volume:14 year:2023
sourceStr	In Frontiers in Endocrinology 14(2023) volume:14 year:2023
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR Diseases of the endocrine glands. Clinical endocrinology
isfreeaccess_bool	true
container_title	Frontiers in Endocrinology
authorswithroles_txt_mv	Peipei Liu @@aut@@ Junjuan Li @@aut@@ Ling Yang @@aut@@ Zihao Zhang @@aut@@ Hua Zhao @@aut@@ Naihui Zhao @@aut@@ Wenli Ou @@aut@@ Yinggen Zhang @@aut@@ Shuohua Chen @@aut@@ Guodong Wang @@aut@@ Xiaofu Zhang @@aut@@ Shouling Wu @@aut@@ Xiuhong Yang @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	645090948
id	DOAJ099252716
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ099252716</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414022242.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fendo.2023.1269580</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ099252716</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ7771473c6fe245cab191871bb4c7462a</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="050" ind1=" " ind2="0"><subfield code="a">RC648-665</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Peipei Liu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</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">ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of &gt;30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, &gt;30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">chronic kidney disease</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">progression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">uric acid to high-density lipoprotein cholesterol ratio</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cumulative exposure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">UHR</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Diseases of the endocrine glands. Clinical endocrinology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Junjuan Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ling Yang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zihao Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hua Zhao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Naihui Zhao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenli Ou</subfield><subfield code="e">verfasserin</subfield><subfield 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callnumber-first	R - Medicine
author	Peipei Liu
spellingShingle	Peipei Liu misc RC648-665 misc chronic kidney disease misc progression misc uric acid to high-density lipoprotein cholesterol ratio misc cumulative exposure misc UHR misc Diseases of the endocrine glands. Clinical endocrinology Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
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topic_title	RC648-665 Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease chronic kidney disease progression uric acid to high-density lipoprotein cholesterol ratio cumulative exposure UHR
topic	misc RC648-665 misc chronic kidney disease misc progression misc uric acid to high-density lipoprotein cholesterol ratio misc cumulative exposure misc UHR misc Diseases of the endocrine glands. Clinical endocrinology
topic_unstemmed	misc RC648-665 misc chronic kidney disease misc progression misc uric acid to high-density lipoprotein cholesterol ratio misc cumulative exposure misc UHR misc Diseases of the endocrine glands. Clinical endocrinology
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title	Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
ctrlnum	(DE-627)DOAJ099252716 (DE-599)DOAJ7771473c6fe245cab191871bb4c7462a
title_full	Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
author_sort	Peipei Liu
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author_browse	Peipei Liu Junjuan Li Ling Yang Zihao Zhang Hua Zhao Naihui Zhao Wenli Ou Yinggen Zhang Shuohua Chen Guodong Wang Xiaofu Zhang Shouling Wu Xiuhong Yang
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title_sort	association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
callnumber	RC648-665
title_auth	Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
abstract	ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement.
abstractGer	ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement.
abstract_unstemmed	ObjectiveThe ratio of uric acid to high-density lipoprotein cholesterol (UHR) was related to the risk of chronic kidney disease (CKD), we aimed to investigate the association of cumulative UHR (cumUHR) with incidence and progression of CKD.MethodsOur study included a total of 49,913 participants (mean age 52.57 years, 77% males) from the Kailuan Study conducted between 2006 and 2018. Participants who completed three consecutive physical examinations were included. Cumulative UHR (cumUHR) was computed as the summed average UHR between two consecutive physical examinations, multiplied by the time between the two examinations. Participants were then categorized into four groups based on cumUHR quartiles. Subsequently, participants were further divided into a CKD group and a non-CKD group. The associations between cumUHR and CKD and it’s progression were assessed by Cox proportional hazards regression models. The cumulative incidence of endpoint events was compared between the cumUHR groups using the log-rank test. The C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to assess the predictive performance of cumUHR.ResultsAfter a mean follow-up of 8.0 ± 1.7 years, there were 4843 cases of new-onset CKD, 2504 of low eGFR, and 2617 of proteinuria in the non-CKD group. Within the CKD group, there were 1952 cases of decline in eGFR category, 1465 of >30% decline in eGFR, and 2100 of increased proteinuria. In the non-CKD group, the adjusted hazard ratios (HRs) and confidence intervals (CIs) in the fourth quartile were 1.484 (1.362–1.617), 1.643 (1.457–1.852), and 1.324 (1.179–1.486) for new-onset CKD, low eGFR, and proteinuria, respectively. In the CKD group, the adjusted HRs in the fourth quartile were 1.337 (1.164–1.534), 1.428 (1.216–1.677), and 1.446 (1.267–1.651) for decline in eGFR category, >30% decline in eGFR, and increase in proteinuria, respectively. In addition, we separately added a single UHR measurement and cumUHR to the CKD base prediction model and the CKD progression base prediction model, and found that the models added cumUHR had the highest predictive value.ConclusionHigh cumUHR exposure was an independent risk factor for the incidence and progression of CKD, and it was a better predictor than a single UHR measurement.
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title_short	Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease
url	https://doi.org/10.3389/fendo.2023.1269580 https://doaj.org/article/7771473c6fe245cab191871bb4c7462a https://www.frontiersin.org/articles/10.3389/fendo.2023.1269580/full https://doaj.org/toc/1664-2392
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author2	Junjuan Li Ling Yang Zihao Zhang Hua Zhao Naihui Zhao Wenli Ou Yinggen Zhang Shuohua Chen Guodong Wang Xiaofu Zhang Shouling Wu Xiuhong Yang
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Association between cumulative uric acid to high-density lipoprotein cholesterol ratio and the incidence and progression of chronic kidney disease

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