scholarly journals Polypharmacy and mortality association by chronic kidney disease status: The RE asons for G eographic A nd R acial D ifferences in S troke Study

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Winn Cashion ◽  
William McClellan ◽  
Suzanne Judd ◽  
Abhinav Goyal ◽  
David Kleinbaum ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Disease Status

Genomic damage as a biomarker of chronic kidney disease status

2014 ◽  
Vol 56 (3) ◽  
pp. 301-312 ◽  
Author(s):  
Zuray Corredor ◽  
Elitsa Stoyanova ◽  
Lara Rodríguez-Ribera ◽  
Elisabet Coll ◽  
Irene Silva ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Disease Status ◽  
Genomic Damage

Abstract P147: Association Of Rosuvastatin Use With Risk Of Rhabdomyolysis Across Chronic Kidney Disease Status

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Jung-Im Shin ◽  
Yao Qiao ◽  
Aditya Surapaneni ◽  
Lesley Inker ◽  
Derek Fine ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Proportional Hazards ◽  
Disease Status ◽  
Cox Proportional Hazards ◽  
Lower Egfr ◽  
Threatening Condition ◽  
Life Threatening ◽  
End Stage

Introduction: Statin-induced rhabdomyolysis is a rare, but potentially life-threatening condition. It is unknown whether specific statins carry a greater risk of rhabdomyolysis and whether the risk differs between patients with and without chronic kidney disease (CKD). The objective of this study was to investigate the association of rosuvastatin use vs. atorvastatin use with the risk of rhabdomyolysis across CKD status. Hypothesis: Rosuvastatin use is associated with a higher risk of rhabdomyolysis as compared to atorvastatin use and the risk is greater among those with CKD than those without CKD. Methods: We identified adult patients who initiated rosuvastatin or atorvastatin between January 1, 2004 and December 31, 2018 and were free of end-stage kidney disease at the time of prescription in the Geisinger Health System. The association between rosuvastatin use and rhabdomyolysis was assessed using Cox proportional hazards regression models with an interaction between rosuvastatin use and CKD (i.e., estimated glomerular filtration rate <60 ml/min/1.73 m 2 ) in an inverse probability of treatment weighted (IPTW) sample. Results: Of 8,748 rosuvastatin users (mean [SD] age, 59.7 [12.6] years; 49.8% female; 11.8% CKD) and 31,770 atorvastatin users (mean [SD] age, 59.1 [12.6] years; 48.2% female; 11.9% CKD), 0.7% and 0.4% patients developed rhabdomyolysis, respectively, during a median follow-up of 5.1 years. Rosuvastatin use was associated with a higher risk of rhabdomyolysis in patients with CKD (hazard ratio [HR], 3.29; 95% CI, 1.53-7.09), but not in those without CKD (HR, 1.29; 95% CI, 0.82-2.03; p-interaction=0.04). A higher risk of rhabdomyolysis associated with rosuvastatin use in lower eGFR was also observed in the analysis with continuous eGFR ( Figure ). Conclusions: The findings suggest that rosuvastatin use in patients with CKD may be associated with excess risk of rhabdomyolysis as compared to atorvastatin.

scholarly journals Changes in the Fecal Metabolome Are Associated with Feeding Fiber Not Health Status in Cats with Chronic Kidney Disease

Metabolites ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 281
Author(s):  
Jean A. Hall ◽  
Dennis E. Jewell ◽  
Eden Ephraim
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Disease Status ◽  
Apple Pomace ◽  
Soluble Fiber ◽  
Beta Glucan ◽  
Secondary Bile Acid ◽  
Dry Food ◽  
Stage 1 ◽  
Secondary Bile Acids

The objective was to determine the effects of feeding different fiber sources to cats with chronic kidney disease (CKD) compared with healthy cats (both n = 10) on fecal metabolites. A cross-over within split-plot study design was performed using healthy and CKD cats (IRIS stage 1, 2, and 3). After cats were fed a complete and balanced dry food designed to aid in the management of renal disease for 14 days during a pre-trial period, they were randomly assigned to two fiber treatments for 4 weeks each. The treatment foods were formulated similar to pre-trial food and contained 0.500% betaine, 0.586% oat beta glucan, and either 0.407% short chain fructooligosaccharides (scFOS) fiber or 3.44% apple pomace. Both treatment foods had similar crude fiber (2.0 and 2.1% for scFOS and apple pomace, respectively) whereas soluble fiber was 0.8 and 1.6%, respectively. At baseline, CKD had very little impact on the fecal metabolome. After feeding both fiber sources, some fecal metabolite concentrations were significantly different compared with baseline. Many fecal uremic toxins decreased, although in healthy cats some increased; and some more so when feeding apple pomace compared with scFOS, e.g., hippurate, 4-hydroxyhippurate, and 4-methylcatechol sulfate; the latter was also increased in CKD cats. Changes in secondary bile acid concentrations were more numerous in healthy compared with CKD cats, and cats in both groups had greater increases in some secondary bile acids after consuming apple pomace compared with scFOS, e.g., tauroursodeoxycholate and hyocholate. Although changes associated with feeding fiber were more significant than changes associated with disease status, differential modulation of the gut-kidney axis using dietary fiber may benefit cats.

Abstract P503: Continuous Diurnal Patterns of Atrial Fibrillation Onset by Chronic Kidney Disease Status: The Atherosclerosis Risk in Communities (aric) Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Esther Kim ◽  
Vadim Zipunnikov ◽  
Elsayed Z Soliman ◽  
Josef Coresh ◽  
Kunihiro Matsushita ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Time Window ◽  
Heart Rhythm ◽  
Disease Status ◽  
Early Morning ◽  
Generalized Function ◽  
Diurnal Patterns ◽  
Late Evening

Background: Chronic kidney disease (CKD) is associated with atrial fibrillation (AF); however, most studies have looked at its presence or occurrence as a dichotomous outcome, and diurnal patterns of AF by CKD status have not yet been characterized. Methods: Of 2257 adults (71-94 years) who underwent 2 weeks of non-invasive continuous heart rhythm monitoring using the Zio XT Patch, we examined 61 participants with paroxysmal AF and characterized the probability of AF onset over the course of 24 hours using a generalized function-on-scalar regression model. CKD status was defined using eGFR and albuminuria. Results: The median device wear-time was 13.7 (12.6, 13.9) days, and the majority (57%) had CKD. In non-CKD, the probability of AF onset fluctuated over 24 hours with two nadir periods occurring in late morning (~10am) and late evening (~10pm), and somewhat prominent peaks occurring in early morning (~8am) and early evening (~6pm) [figure] . Overall, CKD had a higher probability of AF compared to non-CKD. CKD also demonstrated a less pronounced nadir in late evening, and was significantly more likely to experience AF during this time (OR 2.80; 95% CI 1.05, 11.94) compared to non-CKD. This observation was consistent even after adjusting for various potential confounders such as age, sex, race, diabetes, and a history of cardiovascular disease. Conclusion: Based on 2-week monitoring, AF onset seems to exhibit a diurnal pattern throughout the day with peaks in the early morning and evening, and nadir in late morning and evening. Compared to those without CKD, those with CKD are more likely to experience AF in late evening, suggesting a potential high-risk time window for monitoring. Further studies are needed to evaluate prognostic value of AF diurnal patterns.

Chronic kidney disease unawareness and determinants using 1999–2014 National Health and Nutrition Examination Survey Data

2021 ◽  
Author(s):  
Ana Florea ◽  
Elizabeth T Jacobs ◽  
Robin B Harris ◽  
Yann C Klimentidis ◽  
Bijin Thajudeen ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
National Health ◽  
Disease Status ◽  
Patient Characteristics ◽  
The United States ◽  
Self Report ◽  
Nutrition Examination Survey ◽  
Older Individuals ◽  
Health And Nutrition

Abstract Background Although chronic kidney disease (CKD) affects 15% of the United States (US) population, &lt;10% of the US CKD population is aware of their disease. This is significant as untreated CKD can progress to end-stage renal disease which would require dialysis or transplantation. This study aimed to provide updated information regarding US CKD unawareness. Methods Data from the 1999–2014 National Health and Nutrition Examination Survey (NHANES) were used (n = 38 474); response rate &gt; 70%. CKD self-report and lab-confirmed CKD were used to assess CKD unawareness. Adjusted logistic regression models examined association between unawareness and patient characteristics. Results In individuals with lab-confirmed CKD (n = 7137, 14.3%), 91.5% answered ‘no’ to self-report question; in those without CKD, 1.1% answered ‘yes’ to self-report question. In those with lab-confirmed CKD, in the adjusted models, increased age [odds ratio (ORs), 1.03 (95%CI, 1.02–1.04)] and female sex [OR, 1.37 (95%CI, 1.08–1.72)] were statistically significantly associated with greater odds of being unaware of CKD. Conclusion These findings demonstrated high unawareness of disease status as there was a discrepancy between respondents’ self-reported CKD diagnosis and lab-confirmed CKD. Older individuals and women may be more unaware of their CKD; these groups should be queried about reasons for increased unawareness.

OP0101 Effect of chronic kidney disease status on pegloticase treatment response:

2013 ◽  
Vol 71 (Suppl 3) ◽  
pp. 87.1-87
Author(s):  
R.A. Yood ◽  
F.D. Ottery ◽  
W. Irish ◽  
M. Wolfson
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Treatment Response ◽  
Disease Status
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