Association between uric acid lowering and renal function progression: a longitudinal study

Liu, Liyi; You, Lili; Sun, Kan; Li, Feng; Qi, Yiqin; Chen, Chaogang; Wang, Chuan; Lao, Guojuan; Xue, Shengneng; Tang, Jian; Li, Na; Feng, Wei; Yang, Chuan; Xu, Min; Yan, Li; Ren, Meng; Lin, Diaozhu

doi:10.7717/peerj.11073

Cited by 2 publications

(2 citation statements)

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“…For all three models, the various Mach-L methods all selected UA as the key factor for determining L-eGFR, a finding supported by previous work. In a four-year longitudinal study, Liu et al [ 29 ] showed that compared to the highest quartile of UA, subjects with lower UA (quartile 1) are at lower risk for having reduced renal function [hazard ratio = 0.64, 95% confidence interval (0.49–0.85)]. Zhang et al [ 30 ] reviewed ten randomized controlled trials, finding that, following febuxostate treatment, eGFR was consistently and significantly lower than that in the non-treatment group.…”

Section: Discussionmentioning

confidence: 99%

Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese

Chen,

Wang,

Wang

et al. 2023

World J Clin Cases

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Time series analysis is a valuable tool in epidemiology that complements the classical epidemiological models in two different ways: Prediction and forecast. Prediction is related to explaining past and current data based on various internal and external influences that may or may not have a causative role. Forecasting is an exploration of the possible future values based on the predictive ability of the model and hypothesized future values of the external and/or internal influences. The time series analysis approach has the advantage of being easier to use (in the cases of more straightforward and linear models such as Auto-Regressive Integrated Moving Average). Still, it is limited in forecasting time, unlike the classical models such as Susceptible-Exposed-Infectious-Removed. Its applicability in forecasting comes from its better accuracy for short-term prediction. In its basic form, it does not assume much theoretical knowledge of the mechanisms of spreading and mutating pathogens or the reaction of people and regulatory structures (governments, companies, etc. ). Instead, it estimates from the data directly. Its predictive ability allows testing hypotheses for different factors that positively or negatively contribute to the pandemic spread; be it school closures, emerging variants, etc. It can be used in mortality or hospital risk estimation from new cases, seroprevalence studies, assessing properties of emerging variants, and estimating excess mortality and its relationship with a pandemic.

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Section: Discussionmentioning

confidence: 99%

Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese

Chen,

Wang,

Wang

et al. 2023

World J Clin Cases

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“…Improvement of renal function can be attributed to decrease in uric acid level, inhibition of oxidative stress and reduced signal transduction of renal brosis induced by febuxostat [38][39][40].…”

Section: Discussionmentioning

confidence: 99%

Efficacy And Renal Safety of Febuxostat In Management of Gout And Chronic Kidney Disease: A Retrospective Study

Zhang

Chen

Wang

et al. 2021

Preprint

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Background: Elevated serum urate levels are associated with renal deterioration of chronic kidney disease (CKD). Whether urate-lowering treatment with febuxostat can improve renal function or attenuate the decline of the estimated glomerular filtration rate (eGFR) is controversial. The current study sought to explore efficacy and renal safety of febuxostat in gout patients with CKD and explore factors correlated with target serum urate (sUA).Methods: The current study was a single-center retrospective study comprising male gout patients with CKD. sUA, the rate of sUA < 360 µmol/L and renal safety were analyzed in subjects who had been treated with febuxostat for more than 44 weeks. Factors correlated with target sUA were explored by logistic regression analysis. Results: A total of 87 patients who had been diagnosed with gout and CKD met the inclusion criteria for the study. Twenty-five (28.73%) patients presented with stage 2 CKD, 58 (66.67%) were diagnosed with stage 3 CKD and 4 (4.60%) were diagnosed with stage 4 CKD. Analysis of sUA level showed a significant reduction at week 44~ (598.22 ± 95.11 µmol/L vs. 429.76 ± 123.45 μmol/L; P < 0.05), and the RAT increased to 34.50%. eGFR level of all patients was 52.37 ± 11.74 ml/min/1.73cm2 at baseline and 56.51 ± 15.01 ml/min/1.73cm2 at week 44~ (P < 0.05). The findings showed improvement of eGFR level in different stages of CKD, mainly in stage 3 CKD patients (P < 0.05). After stratification based on risk factors of hypertension, diabetic mellitus, hyperlipidemia and the usage of Non-Steroidal Anti-inflammatory Drugs (NSAIDs), the findings showed that eGFR levels of patients with ≤ 1 risk factors showed significant improvement (P < 0.05). Logistic regression analysis indicated that baseline sUA level and acute arthritis were correlated with the RAT in gout and CKD patients treated with febuxostat.Conclusions: In this retrospective study, febuxostat demonstrated effective and renal safety in gout patients with CKD. Baseline sUA level and acute arthritis may affect achieving of target sUA.

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Association between uric acid lowering and renal function progression: a longitudinal study

Cited by 2 publications

References 46 publications

Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese

Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese

Efficacy And Renal Safety of Febuxostat In Management of Gout And Chronic Kidney Disease: A Retrospective Study

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