Annual variation of estimated glomerular filtration rate in health check-ups associated with end-stage kidney disease
Year: 2024
Type: article
Study design: Observational Study
Abstract: Estimated glomerular filtration rate (eGFR) variation is associated with end-stage kidney disease (ESKD) development in patients with chronic kidney disease; whether annual variations in eGFR at health check-ups is associated with ESKD risk in the general population is unclear. We conducted a retrospective cohort study using Japanese national medical insurance claims from 2013 to 2020. Individuals who had their eGFR levels measured three times in annual health check-ups were included (N = 115,191), and the coefficient of variation of eGFR (CVeGFR) was calculated from 3-point eGFR. The end-point was ESKD as reported in the claims data. We analyzed the association between CVeGFR and ESKD incidence after adjusting for conventional ESKD risk factors. The CVeGFR median distribution was 5.7% (interquartile range: 3.5-8.5%). During a median follow-up period of 3.74 years, 164 patients progressed to ESKD. ESKD incidence was significantly higher in the highest quartile group (CVeGFR ≥ 8.5%) than in the other groups (P < 0.0001). After adjusting for risk factors, individuals with CVeGFR ≥ 8.5% had a significantly high ESKD incidence (adjusted hazard ratio: 3.01; 95% CI 2.14-4.30). High CVeGFR in annual health check-ups was associated with high ESKD incidence, independent of its other conventional risk factors, in the general population.
Source: Scientific Reports
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,590
Awards: Identification of Novel High-Risk Factors for Progression of Diabetic Nephropathy Using Claims Dat, Do SGLT2 inhibitors increase the risk of lower limb amputation? :Analysis using big administrative data, Big Data Analysis of Endocrine Immunity-Related Adverse Events with Immune Checkpoint Inhibitors, 医療・介護・健診連結データを用いた意思決定に資するリアルワールドエビデンスの構築, レセプトビッグデータを用いた機能性副腎腫瘍における骨粗鬆症、脆弱骨折の病態解明, G6306641466, 蓄積データからのエビデンス創出に資するグレブナー基底を用いた革新的統計手法の開発, 医療・介護・健診連結ビッグデータを用いた内分泌代謝疾患のリアルワールド解析, 死亡票・死亡個票を用いたレセプトデータベースにおける死因確定ロジックの開発
OpenAlex ID: W4402394949
