scholarly journals Long-Term Outcome of Infants with Severe Chronic Kidney Disease

2009 ◽  
Vol 5 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Djalila Mekahli ◽  
Vanessa Shaw ◽  
Sarah E. Ledermann ◽  
Lesley Rees
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Severe Chronic Kidney Disease

scholarly journals Using CHADS2 and CHA2DS2-VASc scores for mortality prediction in patients with chronic kidney disease

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Po-Chao Hsu ◽  
Wen-Hsien Lee ◽  
Szu-Chia Chen ◽  
Yi-Chun Tsai ◽  
Ying-Chih Chen ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Mortality Prediction ◽  
Multivariate Model ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Basic Model ◽  
All Cause Mortality

Abstract Chronic kidney disease (CKD) is a public health issue and is associated with high morbidity and mortality. How to identify the high-risk CKD patients is very important to improve the long-term outcome. CHADS2 and CHA2DS2-VASc scores are clinically useful scores to evaluate the risk of stroke in patients with atrial fibrillation. However, there was no literature discussing about the usefulness of CHADS2 and CHA2DS2-VASc scores for cardiovascular (CV) and all-cause mortality prediction in CKD patients. This longitudinal study enrolled 437 patients with CKD. CHADS2 and CHA2DS2-VASc scores were calculated for each patient. CV and all-cause mortality data were collected for long-term outcome prediction. The median follow-up to mortality was 91 (25th–75th percentile: 59–101) months. There were 66 CV mortality and 165 all-cause mortality. In addition to age and heart rate, CHADS2 and CHA2DS2-VASc scores (both P value < 0.001) were significant predictors of CV and all-cause mortality in the multivariate analysis. Besides, in direct comparison of multivariate model, basic model + CHA2DS2-VASc score had a better additive predictive value for all-cause mortality than basic model + CHADS2 score (P = 0.031). In conclusion, our study showed both of CHADS2 and CHA2DS2-VASc scores were significant predictors for long-term CV and all-cause mortality in CKD patients and CHA2DS2-VASc score had a better predictive value than CHADS2 score for all-cause mortality in direct comparison of multivariate model. Therefore, using CHADS2 and CHA2DS2-VASc scores to screen CKD patients may be helpful in identifying the high-risk group with increased mortality.

scholarly journals Chronic Kidney Disease in Children: Recent Update

2015 ◽  
Vol 8 (1) ◽  
pp. 117-123 ◽  
Author(s):  
Kwanchai Pirojsakul ◽  
Nisha Mathews ◽  
Mouin G. Seikaly
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Mineral And Bone Disorder ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Social Burden ◽  
End Stage ◽  
Us Children ◽  
Morbid Conditions

The incidence of end stage of renal disease (ESRD) in US children age 0-19 years is 12.9 per million/year (2012). The economic and social burden of diagnosing, treating and preventing chronic kidney disease (CKD) in children and adults remains substantial. Advances in identifying factors that predict development of CKD and its progression, as well as advances in the management of co-morbid conditions including anemia, cardiovascular disease, growth, mineral and bone disorder, and neurocognitive function are discussed. Despite recent reports from retrospective registry data analysis and multi-center prospective studies which have significantly advanced our knowledge of CKD, and despite advances in the understanding of the pathogenesis, diagnosis and treatment of CKD much work remains to be done to improve the long term outcome of this disease.

P0792FAT ATTENUATION INDEX OF CORONARY ARTERY IN COMPUTED TOMOGRAPHY ANGIOGRAPHY PREDICTS LONG-TERM OUTCOME IN CHRONIC KIDNEY DISEASE

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Nam-Jun Cho ◽  
Soon hyo Kwon ◽  
Bo Da Nam ◽  
Kyoungin Choi
Keyword(s):  
Coronary Artery ◽  
Kidney Disease ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Adjusted Risk ◽  
Attenuation Index ◽  
All Cause Mortality ◽  
Long Term Mortality

Abstract Background and Aims Perivascular fat attenuation index (FAI) of coronary artery represents the degree of coronary inflammation. High coronary artery FAI in computed tomography angiography (CTA) is associated with increased all-cause and cardiac mortality in general population. However, the ability of the perivascular FAI using coronary CTA to predict long term outcome in chronic kidney disease (CKD) patients is unknown. Method This is a single center retrospective study. We analyzed coronary FAIs on CTA for CKD including patients with end stage renal disease (ESRD). The patients with percutaneous coronary intervention or coronary artery bypass graft were excluded. Mapping and analysis of perivascular FAI were performed around proximal three major coronary arteries. We assessed the prognostic value of FAI of CTA for long-term mortality (data from the Korean National Statistical Office) with Cox regression models, adjusted for age, sex, dialysis vintage, and clinical parameters. Results Between January 2012 and June 2018, 268 CKD patients were included. Mean age of this cohort was 64.5 ± 12.0 years, and 132 (49.3%) participants were men. 109 (44.7%) participants has diabetic kidney disease, and 179 (66.4%) participants were on hemodialysis. Median follow-up after coronary CTA was 29.2 (15.1 − 46.3) months. During follow-up, there were 43 (20.6%) deaths. The optimum cut-off value of FAI around the left anterior descending artery (LAD) was ascertained as -65.5 Hounsfield unit. The high perivascular FAI around the LAD was significantly associated with higher adjusted risk of all-cause mortality (hazard ratio, 2.15; 95% CI, 1.07–4.32). In ESRD subgroup, the high perivascular FAI group also has higher adjusted risk of all-cause mortality compared to low perivascular FAI group (hazard ratio, 2.43; 95% CI, 1.16–5.09). Conclusion The perivascular FAI around LAD predicts the long-term mortality in patients with CKD. This could provide the chance of early primary intervention in CKD patients.

Sign in / Sign up

Export Citation Format

Share Document