scholarly journals MP302CLINICAL PREDICTION MODELS FOR PROGRESSION OF CHRONIC KIDNEY DISEASE TO END STAGE KIDNEY FAILURE UNDER PREDIALYSIS NEPHROLOGY CARE: RESULTS FROM THE CHRONIC KIDNEY DISEASE JAPAN COHORT STUDY

2016 ◽  
Vol 31 (suppl_1) ◽  
pp. i439-i439
Author(s):  
Takeshi Hasegawa ◽  
Kentaro Sakamaki ◽  
Fumihiko Koiwa ◽  
Tadao Akizawa
Keyword(s):  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Kidney Failure ◽  
Prediction Models ◽  
Nephrology Care ◽  
End Stage

Association Between Longitudinal Blood Pressure Trajectory and the Progression of Chronic Kidney Disease: Results From the KNOW-CKD

Hypertension ◽  
2021 ◽  
Author(s):  
Young Su Joo ◽  
Hyung Woo Kim ◽  
Ki Heon Nam ◽  
Jee Young Lee ◽  
Tae Ik Chang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Primary Outcome ◽  
Latent Class ◽  
Mixed Model ◽  
Hazards Model ◽  
Trajectory Group ◽  
End Stage

Studies on the longitudinal temporal trend of blood pressure (BP) and its impact on kidney function are scarce. Here, we evaluated the association of dynamic changes in systolic blood pressure (SBP) over time with adverse kidney outcomes. We analyzed 1837 participants from the KNOW-CKD (Korean Cohort Study for Outcomes in Patients With Chronic Kidney Disease). The main exposure was 3 distinct SBP trajectories determined by the latent class mixed model (decreasing, stable, and increasing) using 3 SBP measurements at 0, 6, and 12 months. The primary outcome was CKD progression, defined as a composite of halving estimated glomerular filtration rate from baseline value or onset of end-stage kidney disease. SBP declined from 144 to 120 mm Hg in the decreasing SBP trajectory group and rose from 114 to 136 mm Hg in the increasing trajectory group within 1 year. During 6576 person-years of follow-up (median, 3.7 years), the composite outcome occurred in 521 (28.4%) participants. There were fewer primary outcome events in the decreasing (30.6%) and stable (26.5%) SBP trajectory groups than in the increasing trajectory group (33.0%). In the multivariable-adjusted cause-specific hazards model, increasing SBP trajectory was associated with a 1.28-fold higher risk for adverse kidney outcome compared with stable SBP trajectory. However, the risk for the primary outcome did not differ between the decreasing and stable SBP trajectory groups. In this longitudinal CKD cohort study, compared with stable SBP trajectory, increasing SBP trajectory was associated with higher risk for adverse kidney outcome, whereas decreasing SBP trajectory showed similar risk.

scholarly journals Use of the Kidney Failure Risk Equation to Determine the Risk of Progression to End-stage Renal Disease in Children With Chronic Kidney Disease

2018 ◽  
Vol 172 (2) ◽  
pp. 174 ◽  
Author(s):  
Erica Winnicki ◽  
Charles E. McCulloch ◽  
Mark M. Mitsnefes ◽  
Susan L. Furth ◽  
Bradley A. Warady ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Renal Disease ◽  
Kidney Failure ◽  
End Stage Renal Disease ◽  
Risk Equation ◽  
Failure Risk ◽  
Risk Of Progression ◽  
Stage Renal Disease ◽  
End Stage

scholarly journals The Need for Accurate Risk Prediction Models for Road Mapping, Shared Decision Making and Care Planning for the Elderly with Advanced Chronic Kidney Disease

PRILOZI ◽  
2016 ◽  
Vol 37 (2-3) ◽  
pp. 33-42 ◽  
Author(s):  
Marijke Stryckers ◽  
Evi V Nagler ◽  
Wim Van Biesen
Keyword(s):  
Chronic Kidney Disease ◽  
Decision Making ◽  
Kidney Disease ◽  
Shared Decision Making ◽  
Risk Prediction ◽  
Prediction Models ◽  
Shared Decision ◽  
End Stage Kidney Disease ◽  
Risk Prediction Models ◽  
End Stage

AbstractAs people age, chronic kidney disease becomes more common, but it rarely leads to end-stage kidney disease. When it does, the choice between dialysis and conservative care can be daunting, as much depends on life expectancy and personal expectations of medical care. Shared decision making implies adequately informing patients about their options, and facilitating deliberation of the available information, such that decisions are tailored to the individual’s values and preferences. Accurate estimations of one’s risk of progression to end-stage kidney disease and death with or without dialysis are essential for shared decision making to be effective. Formal risk prediction models can help, provided they are externally validated, well-calibrated and discriminative; include unambiguous and measureable variables; and come with readily applicable equations or scores. Reliable, externally validated risk prediction models for progression of chronic kidney disease to end-stage kidney disease or mortality in frail elderly with or without chronic kidney disease are scant. Within this paper, we discuss a number of promising models, highlighting both the strengths and limitations physicians should understand for using them judiciously, and emphasize the need for external validation over new development for further advancing the field.

scholarly journals Adult Nesidioblastosis in Chronic Kidney Disease

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Eduardo Lozano-Melendez ◽  
Mercedes Aguilar-Soto ◽  
Luis Eugenio Graniel-Palafox ◽  
Laura Elena Ceceña-Martínez ◽  
Rafael Valdez-Ortiz ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Function ◽  
Case Report ◽  
Kidney Disease ◽  
Kidney Failure ◽  
Hyperinsulinemic Hypoglycemia ◽  
Histopathological Diagnosis ◽  
Insulin Levels ◽  
First Case ◽  
End Stage

Context. Nesidioblastosis is a rare cause of hyperinsulinemic hypoglycemia in adults. The diagnosis is further complicated in patients with kidney failure, since impaired renal function can cause hypoglycemia by itself and diagnostic criteria for this clinical scenario have not been developed yet. Case Description. We present the case report of a 36-year-old patient with end stage chronic kidney disease who presented to the emergency department because of hypoglycemia. However, the patient’s hypoglycemia did not respond well to medical treatment; the diagnosis of hyperinsulinemic hypoglycemia was made due to the presence of inappropriately high levels of insulin, proinsulin, and C-peptide during an episode of hypoglycemia. Imaging studies were performed without any conclusive findings; so selective intra-arterial pancreatic stimulation with hepatic venous sampling (SACTS) was done. Based on the results of this study the patient was referred for subtotal pancreatectomy. Classic criteria for the diagnosis of insulinoma with SACTS required a 2-fold increase in insulin levels but newer criteria suggest thresholds that are useful in the differential diagnosis of insulinoma and nesidioblastosis. In our patient, the former criteria were positive; however, the new criteria were not compatible with insulinoma but with nesidioblastosis, which was the final histopathological diagnosis. Conclusion. This seems to be the first case report of a patient with end stage chronic kidney disease and nesidioblastosis, as well as the first case of hyperinsulinemic hypoglycemia in the context of kidney failure diagnosed by SACTS. We consider this method to be very useful in patients with renal impairment because peripancreatic insulin levels do not depend on the renal function.

Nephrology consultation and kidney failure in people with stage 4 chronic kidney disease: a population-based cohort study

2020 ◽  
Author(s):  
Ping Liu ◽  
Robert R. Quinn ◽  
Giuliana Cortese ◽  
Mohamed Mahsin ◽  
Matthew T. James ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Kidney Failure ◽  
Population Based ◽  
Stage 4
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