2019
DOI: 10.1111/dom.13734
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Temporal variation of renal function in people with type 2 diabetes mellitus: A retrospective UK clinical practice research datalink cohort study

Abstract: Aim To characterize the longitudinal variability of estimated glomerular filtration rate (eGFR) in people with type 2 diabetes mellitus (T2DM), including variation between categories and individuals. Methods People with T2DM and sufficient recorded serum creatinine measurements were identified from the Clinical Practice Research Datalink (T2DM diagnosis from 1 January 2009 to 1 January 2011 with 5 years follow‐up); eGFR was calculated using the CKD‐EPI equation. Results In total, 7766 individuals were included… Show more

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Cited by 8 publications
(7 citation statements)
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“…1 J o u r n a l P r e -p r o o f 4 However, the course of the disease shows a considerably high inter-individual variability that often cannot be sufficiently explained by conventional risk factors. 5,6 Clonal hematopoiesis of indeterminate potential (CHIP) has recently emerged as a novel cardiovascular risk factor linking the innate immune system to specific clonal drivers, aging and subclinical chronic inflammation (microinflammation). 7,8 CHIP is defined as a clonal expansion in the hematopoietic lineages in the absence of a hematological malignancy.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…1 J o u r n a l P r e -p r o o f 4 However, the course of the disease shows a considerably high inter-individual variability that often cannot be sufficiently explained by conventional risk factors. 5,6 Clonal hematopoiesis of indeterminate potential (CHIP) has recently emerged as a novel cardiovascular risk factor linking the innate immune system to specific clonal drivers, aging and subclinical chronic inflammation (microinflammation). 7,8 CHIP is defined as a clonal expansion in the hematopoietic lineages in the absence of a hematological malignancy.…”
Section: Introductionmentioning
confidence: 99%
“… 1 However, the course of the disease shows a considerably high interindividual variability that often cannot be sufficiently explained by conventional risk factors. 5 , 6 …”
mentioning
confidence: 99%
“…One explanation is the excessive competing risk of (mostly cardiovascular) mortality 4 , which increases in parallel to the decline in estimated glomerular filtration rate (eGFR) 5 . In addition, not all patients develop DKD 6 8 and even those who do, progress at a highly variable rate 9 . The KDIGO guidelines suggest using eGFR and urinary albumin excretion (UAE) for cross sectional categorization of chronic kidney disease into 5 eGFR and 3 UAE stages 10 .…”
Section: Introductionmentioning
confidence: 99%
“…During the last decades it became evident that the pathophysiology of DKD is complex 16 . Next to systemic co-morbidities or effects of medication, the cross-sectional inter- 17 , and longitudinal intra-individual 18 variability of pathways driving the disease leads to an unstable course over time 9 . This not only challenges the concept of a linear trajectory of eGFR decline but also conceptually creates a dilemma for biomarker research.…”
Section: Introductionmentioning
confidence: 99%
“…The eGFR was calculated by the Chronic Kidney Disease Epidemiology Collaboration equation: eGFR ϭ 141 ϫ min (Scr/, 1) ␣ ϫ max (Scr/, 1) -1.209 ϫ 0.993 Age ϫ (1.018 if female), (Scr, Serum creatinine; unit, mg/dL, 1 mg/dL ϭ 88.4 mol/L), where ϭ 0.7 for females or 0.9 for males; ␣ ϭ Ϫ0.329 for females or Ϫ0.411 for males; min indicates the minimum of Scr/ or 1; and max indicates the maximum of Scr/ or 1 (25 ).…”
Section: Clinical Laboratory Testsmentioning
confidence: 99%