title: Developing a 'traffic light' test with potential for rational early diagnosis of liver fibrosis and cirrhosis in the community.
abstract: BACKGROUND
  Liver disease develops silently and presents late, with often fatal complications.
  
  
  OBJECTIVE
  To develop a 'traffic light' test for liver disease suitable for community use that could enhance assessment of liver risk and allow rational referral of more severe disease to specialist care.
  
  
  METHODS
  Two cohorts from Southampton University Hospital Trust Liver Unit: model development and a validation cohort to evaluate prognosis.
  
  
  METHODS
  A total of 1038 consecutive liver patients (inpatient and outpatient) (development n = 397, validation n = 641) for whom the relevant blood tests had been performed, were followed for a mean of 46 months (range 13-89 months). Blood tests for: hyaluronic acid (HA), procollagen-3 N-terminal peptide (P3NP), and platelet count were combined in a diagnostic algorithm to stage liver disease.
  
  
  RESULTS
  A simple clinical rule combined: HA, P3NP, and platelet count into a 'traffic light' algorithm, grading the results red--high risk, amber--intermediate risk, and green--low risk. In the validation cohort, no green subjects died or developed varices or ascites (n = 202); in the amber group, 9/267 (3.3%) died, 0/267 developed varices, and 2/267 (0.7%) developed ascites; in the red group, 24/172 died (14%), 24/172 (14%) developed varices, and 20/172 developed (11.6%) ascites. Survival was reduced in red (P<0.001) and amber (P<0.012) groups compared with green.
  
  
  CONCLUSIONS
  A simple blood test triages liver disease into three prognostic groups; used in the community, it could enhance the management of risk factors in primary care and rationalise secondary care referrals, including the many patients with fatty liver and relatively minor elevations in alanine transaminase.
authors.affiliation: Clinical and Experimental Sciences Academic Unit, Faculty of Medicine, University of Southampton. Nick.Sheron@soton.ac.uk
authors.forename: Nick
authors.initials: N
authors.lastname: Sheron
authors.forename: Mike
authors.initials: M
authors.lastname: Moore
authors.forename: Stacey
authors.initials: S
authors.lastname: Ansett
authors.forename: Camille
authors.initials: C
authors.lastname: Parsons
authors.forename: Adrian
authors.initials: A
authors.lastname: Bateman
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D001201:Ascites / Q000209:etiology*; D015415:Biomarkers / Q000097:blood; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D008099:Liver / Q000098:blood supply; D008103:Liver Cirrhosis / Q000150:complications / Q000175:diagnosis* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D014648:Varicose Veins / Q000209:etiology*
chemical_list: D015415:Biomarkers