MO536CHINESE CHRONIC RENAL INSUFFICIENCY STUDY: BASED ON SMARTPHONE PLATFORM (C- CRISS): DESIGN AND METHOD

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Xiaohong Fan ◽  
Peng Xia ◽  
Xuehan Zhang ◽  
Jiaying Li ◽  
Ruilian You ◽  
...  

Abstract Background and Aims Abnormal mineral bone metabolism of chronic kidney disease (CKD-MBD) is the most common CKD complication. However, fewer data concerning the relationship between bone metabolic indexes, such as high serum phosphorus and cardiovascular diseases, bone mass reduction, and fracture, is available in Chinese adult patients. The Chinese Chronic Renal Insufficiency Study: Based on Smartphone Platform (C-CRISS) is established to explore the relationship between bone metabolic markers and other non-traditional risk factors with renal function progression, cardiovascular (CVD), and cerebrovascular diseases (BVD), and bone loss in CKD patients.  Method/design The C-CRISS study is a multi-center prospective cohort study in China. It will recruit 3360 pre-dialysis patients aged 18 to 74 years and follow up for at least two years. The individuals with CKD G3b-5ND will account for over 70 percent of the study population. Active glomerulonephritis, rapidly progressing and advanced heart, liver, and tumor diseases will be excluded. The primary composite endpoints include the events of progression to ESRD, cardiovascular events, and death. The participants will undergo the clinical evaluation at baseline and clinic visits at six-monthly intervals in traditional consultation ways. The CVD, BVD, retinopathy, DXR, and other complications will be measured annually. Data on the questionnaire, diet, quality of life, and patients’ status during follow-up will be collected by the smartphone platform developed for this study. The sample size will enable us to have 80% power to detect a 2.0 risk ratio of CVD events in CKD G4 patients compared with CKD G3a patients. Conclusion The C-CRISS study would provide evidence of the potential risk of bone metabolic markers for progressive CKD and CVD/BVD. The study will also provide a new management and complication monitoring model through smartphone communication in chronic kidney disease patients. Trial registration ClinicalTrials.gov Identifier: NCT04229485

Author(s):  
Kirsten S Dorans ◽  
Hua He ◽  
Jing Chen ◽  
Mirela Dobre ◽  
Alan S Go ◽  
...  

Abstract Background Patients with chronic kidney disease (CKD) have an increased risk of peripheral arterial disease (PAD). The ankle–brachial index (ABI), a noninvasive measure of PAD, is a predictor of adverse events among individuals with CKD. In general populations, changes in ABI have been associated with mortality, but this association is not well understood among patients with CKD. Methods We conducted a prospective study of 2920 participants in the Chronic Renal Insufficiency Cohort Study without lower extremity revascularization or amputation at baseline and with at least one follow-up ABI measurement (taken at annual visits) during the first 4 years of follow-up. The ABI was obtained by the standard protocol. Results In Cox proportional hazard regression analyses, we found a U-shaped association of average annual change in ABI with all-cause mortality. After adjusting for baseline ABI and other covariates, compared with participants with an average annual change in ABI of 0–<0.02, individuals with an average annual change in ABI <−0.04 or ≥0.04 had multivariable-adjusted hazard ratios (HRs) of 1.81 [95% confidence interval (CI) 1.34–2.44) and 1.42 (95% CI 1.12–1.82) for all-cause mortality, respectively. Compared with the cumulative average ABI of 1.0–<1.4, multivariable-adjusted HRs for those with a cumulative average ABI of <0.9, 0.9–<1.0 and ≥1.4 were 1.93 (95% CI 1.42–2.61), 1.20 (0.90–1.62) and 1.31 (0.94–1.82), respectively. Conclusions This study indicates both larger decreases and increases in average annual changes in ABI (>0.04/year) were associated with higher mortality risk. Monitoring changes in ABI over time may facilitate risk stratification for mortality among individuals with CKD.


2015 ◽  
Vol 115 (9) ◽  
pp. 1281-1286 ◽  
Author(s):  
Marie A. Guerraty ◽  
Boyang Chai ◽  
Jesse Y. Hsu ◽  
Akinlolu O. Ojo ◽  
Yanlin Gao ◽  
...  

2009 ◽  
Vol 22 (12) ◽  
pp. 1235-1241 ◽  
Author(s):  
S. S. DeLoach ◽  
L. J. Appel ◽  
J. Chen ◽  
M. M. Joffe ◽  
C. A. Gadegbeku ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yooju Nam ◽  
Seonyeong Lee ◽  
Hyung Woo Kim ◽  
Jae Hyun Chang ◽  
Tae-Hyun Yoo

Abstract Background and Aims Osteoprotegerin (OPG), which is an osteoclastic inhibitory factor, have been shown associated with adverse renal outcomes and progression of vascular calcification in chronic kidney disease (CKD) patients. Anemia and CKD-bone mineral disorders (CKD-MBD) are also frequently observed in these patients. Since CKD-MBD and anemia might be closely linked, therefore, we further examined whether OPG level as a marker for bone turnover can predict the future development of anemia in a large-scale prospective cohort. Method Among 2,238 patients with non-dialysis CKD enrolled in the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD), 2,086 patients who measured hemoglobin, hepcidin, iron profiles and OPG level were included in the analysis. Anemia was defined as a hemoglobin level of < 13.0 g/dL and 12.0 g/dL for male and female, respectively. Results The mean age was 53.6 ± 12.2 years and 1,270 (60.9%) patients were males. At baseline, anemia was found in 941 (45.1%) patients. Log transformed OPG levels significantly correlated with FGF23 levels, but inversely with iron profiles and hemoglobin levels at baseline. A multivariate logistic regression model showed that log OPG level was independently associated with the prevalence of anemia (odds ratio [OR], 2.22; 95% confidence interval [CI], 1.41-3.48, P=0.001). Among 1110 patients without baseline anemia, 258 (25.3%) patients developed anemia during a median follow-up duration of 34.6 (interquartile range, 23-48) months. In the fully adjusted multivariable Cox models, risk of developing anemia was significantly higher in the fourth (hazard ratio [HR], 1.99; 95% CI, 1.08-3.67; P =0.028) than in the first OPG quartile. Similar association was observed in a model when OPG was treated as a continuous variable. Conclusion We showed that high serum OPG levels are associated with an increased risk of developing anemia in patients with non-dialysis CKD.


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