US2011136138A1PendingUtilityA1

Method for predicting a need for renal replacement therapy (rrt)

Assignee: ARGUTUS INTELLECTUAL PROPERTIES LTDPriority: Mar 18, 2008Filed: Dec 3, 2010Published: Jun 9, 2011
Est. expiryMar 18, 2028(~1.6 yrs left)· nominal 20-yr term from priority
G01N 2333/91177G01N 2800/347G01N 33/6893
33
PatentIndex Score
0
Cited by
0
References
0
Claims

Abstract

A method for predicting a need for Renal Replacement Therapy (RRT) in a patient comprises: determining a concentration of pi glutathione S transferase-(πGST) in a first urine sample from the patient; and wherein a need for RRT is predicted when the πGST concentration is determined to be elevated in comparison to a patient without kidney injury. The method according to the invention can further comprise detecting for the presence of risk factors for RRT in a patient, the risk factors including elevated serum creatinine concentration, type I diabetes, type II diabetes, hypertension, dyslipidemia, hyperglycaemia, proteinuria and hypoalbuminemia.

Claims

exact text as granted — not AI-modified
1 . A method for predicting a need for Renal Replacement Therapy (RRT) in a patient comprising:
 determining a concentration of pi glutathione S transferase (πGST) in a first urine sample from the patient; and   wherein a need for RRT is predicted when the πGST concentration is determined to be elevated in comparison to a patient without kidney injury.   
     
     
         2 . A method according to  claim 1 , further comprising contacting a urine sample from the patient with a capture molecule for πGST. 
     
     
         3 . A method according to  claim 1  or  2 , wherein πGST is detected by immunoassay. 
     
     
         4 . A method according to  claim 2 , wherein the capture molecule is an antibody to πGST. 
     
     
         5 . A method according to  claim 1 , wherein πGST is detected enzymatically. 
     
     
         6 . A method according to  claim 1 , wherein πGST is detected by a point-of-care assay. 
     
     
         7 . A method for predicting a need for RRT in a patient comprising:
 determining a concentration of πGST in two urine samples taken at least 24 hours apart from the patient; and   wherein a need for RRT is predicted when the πGST concentration is determined to be elevated in the two urine samples.   
     
     
         8 . A method according to  claim 1  or  7 , wherein the elevated πGST concentration in urine is ≧30 ng/ml. 
     
     
         9 . A method according to  claim 1  or  7 , wherein the elevated πGST concentration in urine is ≧60 ng/ml. 
     
     
         10 . A method according to  claim 1  or  7 , wherein the elevated πGST concentration in urine is ≧70 ng/ml. 
     
     
         11 . A method according to  claim 1  or  7 , wherein the elevated πGST concentration in urine is ≧80 ng/ml. 
     
     
         12 . A method according to  claim 1  or  7 , wherein the elevated πGST concentration in urine is ≧90 ng/ml or more. 
     
     
         13 . A method according to  claim 1  or  7 , wherein the patient is affected by an age-related condition, burns, pre-existing chronic kidney disease, reduced effective arterial volume, volume depletion, nephrotic syndrome, congestive heart failure, cirrhosis, sepsis, type I diabetes, type II diabetes, obesity, inflammation, surgery, being a solid organ transplant recipient, being an allogenic bone marrow transplant recipient, mechanical ventilation and/or trauma or has taken or has been administered an antibiotic, drug and/or toxin. 
     
     
         14 . A method according to  claim 1  or  7 , further comprising detecting for the presence of risk factors for RRT in the patient wherein the risk factor is selected from the group consisting of elevated serum creatinine concentration, type I diabetes, type II diabetes, hypertension, dyslipidemia, hyperglycaemia, proteinuria and hypoalbuminemia.

Join the waitlist — get patent alerts

Track US2011136138A1 — get alerts on status changes and closely related new filings.

We store only your email — no account needed. See our privacy policy.