The regression formula for predicting odds of having cirrhosis is as follows:

[Guest guest]

Here's a site that can predict whether or not you have cirrhosis from lab test results. It works on mine.

SuZie

Your future depends on your dreams. Don't waste time, go to sleep NOW!

http://www.haltctri al.org/cirrhosis .html

Our predictive model relies on a few standard laboratory values that are routinely available in patients with hepatitis C - platelet count, AST/ALT ratio and INR.

The regression formula for predicting odds of having cirrhosis is as follows:

log odds (predicting cirrhosis) = -5.56 - 0.0089 x platelet (x103/mm3) + 1.26 x AST/ALT ratio + 5.27 x INR. The formula to calculate predicted probability is exp(logodds) /(1+exp(logodds) ).

Our model performed well in the objective of predicting histological cirrhosis in our population of >1,100 well-characterized patients with chronic hepatitis C and advanced fibrosis. A cutoff predicted value of < 0.2 to exclude cirrhosis, would misclassify only 7.8% (24/309) of patients with cirrhosis (negative predictive value of 85%), while a cutoff predicted value of >0.5 to identify patients with cirrhosis, would misclassify 14.8% (70/474) of noncirrhotics (positive predictive value of 75%). Approximately half, 48.5%, of the patients fell between the two cutoff values and would not be classified accurately. A cutoff of 0.6 would lead to misclassification as cirrhotic in 8.0% (38/474) of noncirrhotics, but would increase the proportion of patients that would not be classifiable to 59.3%.

The ranges used in our analysis are as follows:

Platelets 39-442INR 0.8 - 1.6 AST 18 - 789ALT 15 - 772

Please enter the following 4 lab values then click Calculate/Recalcula te button:

Platelets (103/mm3)

Prothrombin Time International Normalized Ratio (PT/INR)

AST (U/L)

ALT (U/L)

Probability of Biopsy Demonstrating Cirrhosis

Tim Parsons knoxville,tn 37931

x107 work

www.knoxville1. com

Shape Yahoo! in your own image. Join our Network Research Panel today!