scholarly journals Missing Data Classification of Chronic Kidney Disease

2017 ◽  
Vol 7 (5/6) ◽  
pp. 55-61 ◽  
Author(s):  
Wala Abedalkhader ◽  
Noora Abdulrahman
Keyword(s):  
Chronic Kidney Disease ◽  
Missing Data ◽  
Kidney Disease ◽  
Data Classification

Clinical classification of hyperuricemia in patients with chronic kidney disease

2021 ◽  
Author(s):  
Fengqin Li ◽  
Hui Guo ◽  
Jianan Zou ◽  
Chensheng Fu ◽  
Song Liu ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Clinical Classification

scholarly journals Classification of Chronic Kidney Disease Biomarkers to Predict Coronary Artery Calcium

2012 ◽  
Vol 36 (1) ◽  
pp. 26-35 ◽  
Author(s):  
Sterling McPherson ◽  
Celestina Barbosa-Leiker ◽  
Robert Short ◽  
Katherine R. Tuttle
Keyword(s):  
Chronic Kidney Disease ◽  
Coronary Artery ◽  
Kidney Disease ◽  
Coronary Artery Calcium ◽  
Disease Biomarkers

Association of age with risk of major depression among patients with chronic kidney disease over midlife: a nationwide cohort study in Taiwan

2018 ◽  
Vol 31 (08) ◽  
pp. 1171-1179 ◽  
Author(s):  
Shih-Feng Chen ◽  
Yu-Huei Chien ◽  
Pau-Chung Chen ◽  
I-Jen Wang
Keyword(s):  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Major Depression ◽  
Kidney Disease ◽  
Comparison Group ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Classification Of Diseases ◽  
The Impact

ABSTRACTBackground:The impact of age on the development of depression among patients with chronic kidney disease (CKD) at stages before dialysis is not well known. We aimed to explore the incidence of major depression among predialysis CKD patients of successively older ages through midlife.Methods:We conducted a retrospective cohort study using the longitudinal health insurance database 2005 in Taiwan. This study investigated 17,889 predialysis CKD patients who were further categorized into study (i.e. middle and old-aged) groups and comparison group aged 18–44. The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) was applied for coding diseases.Results:The group aged 75 and over had the lowest (hazard ratio [HR] 0.47; 95% confidence interval [CI] 0.32–0.69) risk of developing major depression, followed by the group aged 65–74 (HR 0.67; 95% CI 0.49–0.92), using the comparison group as reference. The adjusted survival curves showed significant differences in cumulative major depression-free survival between different age groups. We observed that the risk of major depression development decreases with higher age. Females were at a higher risk of major depression than males among predialyasis CKD patients.Conclusions:The incidence of major depression declines with higher age in predialysis CKD patients over midlife. Among all age groups, patients aged 75 and over have the lowest risk of developing major depression. A female preponderance in major depression development is present. We suggest that depression prevention and therapy should be integrated into the standard care for predialysis CKD patients, especially for those young and female.

scholarly journals Molecular Stratification of Chronic Kidney Disease

2021 ◽  
Author(s):  
Anna Reznichenko ◽  
Viji Nair ◽  
Sean Eddy ◽  
Mark Tomilo ◽  
Timothy Slidel ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Cell Types ◽  
Biological Pathways ◽  
Self Organizing Maps ◽  
Molecular Stratification ◽  
Indirect Measures ◽  
Genome Wide ◽  
Neural Network Algorithm

Current classification of chronic kidney disease (CKD) into stages based on the indirect measures of kidney functional state, estimated glomerular filtration rate and albuminuria, is agnostic to the heterogeneity of underlying etiologies, histopathology, and molecular processes. We used genome-wide transcriptomics from patients kidney biopsies, directly reflecting kidney biological processes, to stratify patients from three independent CKD cohorts. Unsupervised Self-Organizing Maps (SOM), an artificial neural network algorithm, assembled CKD patients into four novel subgroups, molecular categories, based on the similarity of their kidney transcriptomics profiles. The unbiased, molecular categories were present across CKD stages and histopathological diagnoses, highlighting heterogeneity of conventional clinical subgroups at the molecular level. CKD molecular categories were distinct in terms of biological pathways, transcriptional regulation and associated kidney cell types, indicating that the molecular categorization is founded on biologically meaningful mechanisms. Importantly, our results revealed that not all biological pathways are equally activated in all patients; instead, different pathways could be more dominant in different subgroups and thereby differentially influencing disease progression and outcomes. This first kidney-centric unbiased categorization of CKD paves the way to an integrated clinical, morphological and molecular diagnosis. This is a key step towards enabling precision medicine for this heterogeneous condition with the potential to advance biological understanding, clinical management, and drug development, as well as establish a roadmap for molecular reclassification of CKD and other complex diseases.

scholarly journals Classification of Chronic Kidney Disease in the Elderly: Pitfalls and Errors

2011 ◽  
Vol 119 (s1) ◽  
pp. c2-c4 ◽  
Author(s):  
Christopher G. Winearls ◽  
Richard J. Glassock
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
The Elderly

Pediatric problems of stratification of the severity of stages, cardiovascular complications and renal forecast of chronic kidney disease by NKF-K / DOQI (2002) and KDIGO (2012) classifications

2021 ◽  
Vol 25 (3) ◽  
pp. 9-19
Author(s):  
N. D. Savenkova ◽  
O. P. Grigoreva
Keyword(s):  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Pediatric Patients ◽  
Cardiovascular Complications ◽  
High Risk Group ◽  
Cardiovascular Pathology ◽  
Cardiovascular Prognosis ◽  
Renal Prognosis

Chronic kidney disease (CKD) in children is a global problem worldwide. The article discusses the problem of stratification of CKD severity according to the classifications of the National Kidney Foundation's Kidney Disease Outcomes Quality Initiative (NKF-K / DOQI) (2002) and Kidney Disease Improving Global Outcomes (KDIGO) (2012) in pediatric patients. There are limitations in assessing severity of CKD stages C1-5 according to NKF-K / DOQI (2002) and KDIGO (2012) in children under 2 years of age who have a low glomerular filtration rate in contrast to adults. The stratification of the severity of stages 1-5 of CKD, cardiovascular complications and renal prognosis in children and adolescents according to the classifications NKF-K / DOQI (2002) [3] and KDIGO (2012) [14] are discussed. In adult patients with CKD, there is a compelling case for identifying of C3a and C3b sub stages in 3 stages of CKD according to KDIGO (2012) was that renal and cardiovascular prognosis are different with GFR 45-59 ml/min/1.73 m 2and GFR 30-44 ml/min/1.73 m 2 . The prognosis of the risk of developing cardiovascular diseases and complications for stages C2-5 in accordance with the KDIGO classification (2012) in children and adults differ. As follows from the publications, children with CKD in the pre-dialysis stages C2-4 form a high-risk group, with C4-5 on dialysis a group of very high risk of complications associated with cardiovascular pathology. Cardiovascular complications account for more than 30 % of all deaths of pediatric patients with CKD C4-5 on dialysis. The arguments justifying the allocation of CKD stages C1-5 in children under 2 years of age in accordance with the classification of NKF-K/DOQI (2002) are presented.

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