{"id":2142,"date":"2020-05-21T15:02:24","date_gmt":"2020-05-21T15:02:24","guid":{"rendered":"https:\/\/mirm-pitt.net\/technologies\/?post_type=avada_portfolio&p=2142"},"modified":"2020-07-08T07:37:25","modified_gmt":"2020-07-08T07:37:25","slug":"urinary-biomarkers-for-predicting-long-term-dialysis-3","status":"publish","type":"avada_portfolio","link":"https:\/\/mirm-pitt.net\/technologies\/patents\/urinary-biomarkers-for-predicting-long-term-dialysis-3\/","title":{"rendered":"Urinary Biomarkers For Predicting Long-Term Dialysis (3)"},"content":{"rendered":"

Urinary Biomarkers For Predicting Long-Term Dialysis (3)<\/h2>\n

Patient Exhibiting At Least One Symptom Of A Medical Condition Selected From The Group Consisting Of Diabetes, High Blood Pressure, Alport Syndrome, Analgesic Nephropathy, Gomerulonephritis, Kidney Stones, Kidney Infection, Obstructive Uropathy, Polycystic Kidney Disease And Reflux Nephropathy, Said Patient Being Asymptomatic For A Chronic Kidney Disease<\/p>\n<\/div>

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Inventors:<\/strong> Kai Singbartl; John A. Kellum Jr<\/p>\n

Patent Number:<\/strong> 14\/722,576<\/p>\n

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Abstract<\/h3>\n
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This invention is related to the field of the prevention and treatment of kidney disease. The treatment of kidney disease may be tailored depending upon the need for, or expectation of, long-term dialysis. For example, prediction of long-term dialysis treatment can be determined by monitoring urine biomarkers related to the development of chronic kidney disease. For example, a normalized time course of hyaluronic acid can be used to determine whether a patient having suffered acute kidney injury will require long-term dialysis.<\/div>\n<\/section>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>
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