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    Please use this identifier to cite or link to this item: https://ir.csmu.edu.tw:8080/ir/handle/310902500/23298


    Title: A synergistic effect of variability in estimated glomerular filtration rate with chronic kidney disease on all-cause mortality prediction in patients with type 2 diabetes: a retrospective cohort study
    Authors: Chang, YS;Li, YH;Lee, IT
    Keywords: Annual;Chronic kidney disease;Estimated glomerular filtration;Mortality;Standard deviation;Type 2 diabetes;Variability
    Date: 2021
    Issue Date: 2022-08-05T09:35:01Z (UTC)
    Publisher: BMC
    Abstract: Background The combination of diabetes mellitus (DM) and chronic kidney disease (CKD) is associated with a high risk of mortality. Annual assessment of the estimated glomerular filtration rate (eGFR) is recommended for patients with DM. We investigated the effect of variability in annual eGFR values on all-cause mortality in patients with type 2 DM. Methods In this retrospective cohort study, we enrolled patients with eGFR data between 01 Aug 2017 and 31 July 2018. We defined the index eGFR as the first available eGFR value within the enrollment year and collected additional annual eGFR data from the previous three years. A total of 3592 patients with type 2 DM were enrolled, including 959 patients with CKD (index eGFR < 60 mL/min/1.73 m(2)) and 2633 patients without CKD. We assessed eGFR variability by using the standard deviation (SD) of the three annual eGFR and index eGFR values. We divided patients into subgroups according to the median SD of their annual eGFR (7.62 mL/min/1.73 m(2)). The primary endpoint was all-cause mortality after the index eGFR was assessed. Results During a median follow-up of 19 months (interquartile range: 18-20 months), 127 (3.5%) deaths occurred among all 3592 enrolled patients. The highest mortality risk was observed in the high SD with CKD group, with a hazard ratio (HR) of 2.382 [95% confidence interval (CI) 1.346-4.215] in comparison to the low SD without CKD group after adjusting for the associated factors. In patients without CKD, a high SD was an independent risk factor for mortality (HR = 2.105, 95% CI 1.256-3.528). According to the C-index, the mortality prediction ability was better for the index eGFR + SD model than for the index eGFR alone model (0.671 vs. 0.629, P < 0.001). Conclusion There was a synergistic effect of eGFR variability with single-measured eGFR for the prediction of mortality in patients with type 2 DM. The SD of the annual eGFR values was also an independent predictor of mortality in patients with an eGFR > 60 mL/min/1.73 m(2).
    URI: http://dx.doi.org/10.1186/s12933-021-01399-z
    https://www.webofscience.com/wos/woscc/full-record/WOS:000708452700001
    https://ir.csmu.edu.tw:8080/handle/310902500/23298
    Relation: CARDIOVASCULAR DIABETOLOGY ,2021,v20,issue 1
    Appears in Collections:[中山醫學大學研究成果] 期刊論文

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