Decline of estimated glomerular filtration rate has triphasic changes according to age

Suzuki, Shinya; Yamashita, Takeshi; Otsuka, Takayuki; Arita, Takuto; Yagi, Nobuyuki; Kishi, Mikio; Semba, Hiroaki; Kuwabara, Hiroto; Matsuno, Seiki; Matsuhama, Minoru; Kato, Yuko; Uejima, Tokuhisa; Oikawa, Yuji; Inoue, Tatsuya; Yajima, Junji

doi:10.1111/ggi.13999

Cited by 1 publication

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References 13 publications

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“…As for the definition of "RKFD", some studies defined RKFD as annual eGFR declines of 3 ml/min per 1.73m 2 [10,11] or 5 ml/min per 1.73m 2 [12]. Recently, a Japanese study among healthy subjects reported that eGFR decline nonlinearly altered according to age [13]. Compared with these absolute values change, the percentage decrease of eGFR seems to be more personalized in defining the RKFD.…”

Section: Discussionmentioning

confidence: 99%

Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease

Zhang

et al. 2022

BMC Nephrol

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Background To develop a reliable model to predict rapid kidney function decline (RKFD) among population at risk of cardiovascular disease. Methods In this retrospective study, key monitoring residents including the elderly, and patients with hypertension or diabetes of China National Basic Public Health Service who underwent community annual physical examinations from January 2015 to December 2020 were included. Healthy records were extracted from regional chronic disease management platform. RKFD was defined as the reduction of estimated glomerular filtration rate (eGFR) ≥ 40% during follow-up period. The entire cohort were randomly assigned to a development cohort and a validation cohort in a 2:1 ratio. Cox regression analysis was used to identify the independent predictors. A nomogram was established based on the development cohort. The concordance index (C-index) and calibration plots were calculated. Decision curve analysis was applied to evaluate the clinical utility. Results A total of 8455 subjects were included. During the median follow-up period of 3.72 years, the incidence of RKFD was 11.96% (n = 1011), 11.98% (n = 676) and 11.92% (n = 335) in the entire cohort, development cohort and validation cohort, respectively. Age, eGFR, hemoglobin, systolic blood pressure, and diabetes were identified as predictors for RKFD. Good discriminating performance was observed in both the development (C-index, 0.73) and the validation (C-index, 0.71) cohorts, and the AUCs for predicting 5-years RKFD was 0.763 and 0.740 in the development and the validation cohort, respectively. Decision curve analysis further confirmed the clinical utility of the nomogram. Conclusions Our nomogram based on five readily accessible variables (age, eGFR, hemoglobin, systolic blood pressure, and diabetes) is a useful tool to identify high risk patients for RKFD among population at risk of cardiovascular disease in primary care. Whereas, further external validations are needed before clinical generalization.

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Section: Discussionmentioning

confidence: 99%

Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease

Zhang

et al. 2022

BMC Nephrol

View full text Add to dashboard Cite

show abstract

Decline of estimated glomerular filtration rate has triphasic changes according to age

Cited by 1 publication

References 13 publications

Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease

Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease

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