Age‐ and gender‐adjusted estimated glomerular filtration rate definition reveals hyperfiltration as a risk factor for renal function deterioration in type 2 diabetes

Aim To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. Materials and Methods A retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were c...

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Published inDiabetes, obesity & metabolism Vol. 26; no. 5; pp. 1636 - 1643
Main Authors Wen, Wei‐Lun, Lee, Yau‐Jiunn, Hwu, Der‐Wei, Chang, Yu‐Hung
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.05.2024
Wiley Subscription Services, Inc
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ISSN1462-8902
1463-1326
1463-1326
DOI10.1111/dom.15465

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Abstract Aim To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. Materials and Methods A retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age‐ and gender‐specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m2/year. We used a linear mixed effect model and Cox regression with time‐varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression. Results Of the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (−2.0 ± 0.9 vs. −1.1 ± 0.9 mL/min/1.73m2/year; P < .001). During an average follow‐up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41‐1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76‐3.11, all P < .001). Conclusions In addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.
AbstractList AimTo assess the role of hyperfiltration for diabetic kidney disease (DKD) progression.Materials and MethodsA retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age‐ and gender‐specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m2/year. We used a linear mixed effect model and Cox regression with time‐varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression.ResultsOf the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (−2.0 ± 0.9 vs. −1.1 ± 0.9 mL/min/1.73m2/year; P < .001). During an average follow‐up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41‐1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76‐3.11, all P < .001).ConclusionsIn addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.
Aim To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. Materials and Methods A retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age‐ and gender‐specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m2/year. We used a linear mixed effect model and Cox regression with time‐varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression. Results Of the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (−2.0 ± 0.9 vs. −1.1 ± 0.9 mL/min/1.73m2/year; P < .001). During an average follow‐up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41‐1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76‐3.11, all P < .001). Conclusions In addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.
To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression.AIMTo assess the role of hyperfiltration for diabetic kidney disease (DKD) progression.A retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age- and gender-specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m2/year. We used a linear mixed effect model and Cox regression with time-varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression.MATERIALS AND METHODSA retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age- and gender-specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m2/year. We used a linear mixed effect model and Cox regression with time-varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression.Of the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (-2.0 ± 0.9 vs. -1.1 ± 0.9 mL/min/1.73m2/year; P < .001). During an average follow-up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41-1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76-3.11, all P < .001).RESULTSOf the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (-2.0 ± 0.9 vs. -1.1 ± 0.9 mL/min/1.73m2/year; P < .001). During an average follow-up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41-1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76-3.11, all P < .001).In addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.CONCLUSIONSIn addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.
To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. A retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age- and gender-specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m /year. We used a linear mixed effect model and Cox regression with time-varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression. Of the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (-2.0 ± 0.9 vs. -1.1 ± 0.9 mL/min/1.73m /year; P < .001). During an average follow-up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41-1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76-3.11, all P < .001). In addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.
Author Wen, Wei‐Lun
Hwu, Der‐Wei
Lee, Yau‐Jiunn
Chang, Yu‐Hung
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/38303103$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1080_0886022X_2024_2398188
crossref_primary_10_1016_j_ejps_2025_107045
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Snippet Aim To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. Materials and Methods A retrospective observational cohort study...
To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. A retrospective observational cohort study enrolled type 2 diabetes (T2D)...
AimTo assess the role of hyperfiltration for diabetic kidney disease (DKD) progression.Materials and MethodsA retrospective observational cohort study enrolled...
To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression.AIMTo assess the role of hyperfiltration for diabetic kidney disease (DKD)...
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wiley
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StartPage 1636
SubjectTerms Cohort analysis
cohort study
Diabetes
diabetes complications
Diabetes mellitus (non-insulin dependent)
diabetic nephropathy
Epidermal growth factor receptors
Gender
Glomerular filtration rate
Kidney diseases
real‐world evidence
Renal function
Risk factors
Title Age‐ and gender‐adjusted estimated glomerular filtration rate definition reveals hyperfiltration as a risk factor for renal function deterioration in type 2 diabetes
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fdom.15465
https://www.ncbi.nlm.nih.gov/pubmed/38303103
https://www.proquest.com/docview/3034132577
https://www.proquest.com/docview/2929130104
Volume 26
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