Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure

Prevalence and recognition of chronic kidney disease in Stockholm healthcare

“…This under-utilization of ICD diagnoses of CKD is in agreement with current literature [7,9,35,36], and overall emphasizes the importance of estimating CKD burden on the basis of laboratory values. The strong interaction between albuminuria and eGFR in predicting the risk of ESRD and mortality is well established [37,38], and screening and monitoring for albuminuria is recommended in high-risk individuals [14,21]. We show a suboptimal proportion of the population being tested for albuminuria.…”

Predicting survival function and identifying associated factors in patients with renal insufficiency in the metropolitan area of Maringá, Paraná State, Brazil

“…Results in Table 2 reveal that the explanatory variables -age at the beginning of treatment, gender, kidney transplant indicator and antibodies to hepatitis B and C -are significant factors to explain the lifetime mean μ of the patients, which is expected from a wide literature that associates these variables as high-risk factors for patients (e.g. Tangri et al 20 and Fabrizi et al 21 ). Moreover, the age at the beginning of treatment, kidney transplant indicator and antibodies to hepatitis B and C are significant factors to explain the variability of the shape parameter σ of survival times.…”

A Rebuttal to “The CKD Classification System in the Precision Medicine Era”

“…As clinicians, we appreciate that the prognosis of these conditions varies substantially by age. Age is a key factor in predicting prognosis in patients with CKD (8,9). Younger age is more predictive of progression to kidney failure before death, whereas older age is more predictive of death before development of kidney failure.…”