“Improves the quality of life of patients”
He 15.1% of the Spanish population suffers from loss of kidney function, known as chronic kidney disease (CKD). Thanks to a new algorithm created Clinical Hospital of Valencia, It is easier to detect it in the early stages and even delay its appearance. The project was awarded a clinical research award from the Iñigo Alvarez de Toledo Foundation.
This pathology is in its final stages. leads to the need for dialysis or kidney transplantation. According to the Spanish Association of Nephrologists, a total of seven million people in Spain suffer from it. Therefore, early detection is vital. and it will be more “easier and more discoverable” high-risk patients with chronic kidney disease thanks to innovative software developed by the Nephrology Service and the Clinical Analysis Laboratory of the University Teaching Hospital of Valencia.
Enrique Rodriguez, director of the clinic’s clinical analysis laboratory, explained that early action using this detection system “not only improves the prognosis” for people who have risk factors or kidney disease; also “delays its appearance” and “improves the quality of life of patients significantly reducing costs in the healthcare system,” Rodriguez explained.
This developed algorithm, called a clinical decision support system, was awarded the Clinical Research Award of the Iñigo Alvarez de Toledo Kidney Foundation (FRIAT), one of the most recognized awards in the field of nephrology. It is a working system that assists the primary care physician “in identifying patients with chronic kidney disease while stratifying renal and cardiovascular risk and the need to optimize therapy to protect the kidneys.” This system is carried out without overloading the primary care physician, since it is automated and does not require special specialist actions for detection,” added Dr. José Luis Gorriz, head of the nephrology service at the Hospital Clínica de Valencia.
How does the algorithm work?
The process begins when a primary care physician requests a routine test for any reason. Parameters will be measured to identify a patient who may potentially be suffering from this chronic kidney disease. For example, patients with type 2 diabetes, high blood pressure, obesity, or people over 65 years of age. If you meet any of these four factors, “automatically and all in less than a secondadds chronic kidney disease screening parameters to the analytics query,” explains Gorris.
The algorithm then acts differently depending on the level of risk of contracting this disease. The software catalogs three stages: low, medium and high. In offline mode, “the system automatically sends an email with the patient’s data to a nephrology specialist for review” if the patient is at high risk for the disease.
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