Risk stratification and care trajectories in advanced chronic kidney disease: analysis of dialysis initiation and dialysis-free survival in a value-based care model
This retrospective single-center study of 166 patients with advanced CKD referred to a multidisciplinary clinic found substantial competing risks of dialysis initiation and death within one year, with over a quarter of starts being unplanned, suggesting that competing-risk analysis and KFRE-based stratification could enhance individualized care planning and modality alignment in value-based care models.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
When the kidneys begin to fail, the body loses its ability to filter waste and balance fluids, a condition known as chronic kidney disease. As this condition worsens, patients face a difficult crossroads: their kidneys may stop working entirely, requiring a machine to take over the filtering job, or they may pass away from other health issues before that point is ever reached. This reality creates a complex challenge for doctors. They must decide when to prepare a patient for dialysis, a treatment that uses a machine to clean the blood, while also managing the risk that the patient might die from heart disease or other complications before ever needing that machine. For years, medical teams have tried to predict exactly when a patient's kidneys will fail, but doing so accurately is hard because the two possible outcomes—needing treatment or dying—compete with each other. If a doctor focuses only on the chance of kidney failure, they might overestimate the need for dialysis in patients who are more likely to die from other causes first.
A team of researchers in Portugal recently looked at how a specialized clinic handles this delicate balance. They studied a group of adults with advanced kidney disease who were referred to a multidisciplinary clinic, a place where doctors, nurses, and other specialists work together to guide patients through their final stages of kidney health. The goal was to see how these patients fared over a short period, specifically tracking who started dialysis, who passed away before starting, and how well the clinic's planning worked. By using a method that accounts for the fact that death and dialysis are competing possibilities, the researchers found that the path to treatment is rarely straightforward. In their group of 166 patients, the median age was 70, and most had other serious health conditions like high blood pressure or heart failure. Over the course of their follow-up, about a quarter of the patients started dialysis, while nearly ten percent died before they ever needed it.
The study revealed that even within a specialized care setting, preparation is not always perfect. When the researchers looked at the patients who did start dialysis, they found that more than a quarter began the treatment in an unplanned, emergency manner. This usually means the patient arrived at the hospital in a critical state without a permanent access point for the machine, forcing doctors to use a temporary tube in a large vein. This is a less ideal way to start treatment and is often linked to worse outcomes. The researchers also examined a tool called the Kidney Failure Risk Equation, which uses a patient's age, sex, and specific blood and urine measurements to estimate the likelihood of kidney failure within two years. They found that patients with higher risk scores were indeed more likely to start dialysis sooner, confirming that this tool can help identify who needs urgent attention. However, the tool could only be used for a portion of the group because some early patients did not have all the necessary urine test results available.
Despite the presence of a dedicated team, the study highlighted that knowing the risk is only half the battle; the care pathway must match that knowledge. Among the patients who received education about their options, about thirty percent chose peritoneal dialysis, a treatment that uses the lining of the belly to filter blood, and this choice was largely honored when they actually started treatment. This suggests that when patients are informed, they can make decisions that align with their preferences. The researchers also discovered that patients who were hospitalized for kidney-related problems, such as fluid overload or electrolyte imbalances, were significantly more likely to start dialysis quickly or to die. This indicates that a hospital stay is a warning sign that a patient's condition is becoming unstable and requires immediate, proactive planning.
The authors conclude that managing advanced kidney disease requires a dual approach: using risk tools to predict who is likely to fail soon, and simultaneously building care plans that prevent emergency starts. They emphasize that standard ways of looking at survival data often miss the mark in this field because they treat death as if it were a pause rather than a final outcome. By acknowledging that death and dialysis are competing events, doctors can better estimate the true chances of a patient remaining alive without treatment. While this study was limited to a single center and a relatively short time frame, it offers a clear picture of the current reality: even with good intentions and specialized teams, unplanned starts remain common, and better integration of risk prediction with daily care decisions is needed to ensure patients are ready when the time comes.
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