title: Current determinants of 30-day and 3-month mortality in over 2000 aortic valve replacements: Impact of routine laboratory parameters.
abstract: OBJECTIVE
  Haematological and biochemical measurements are performed routinely before surgery to exclude organ malfunction and blood cell and coagulation abnormalities. We aimed to test routinely obtained laboratory data as factors predicting operative risk.
  
  
  METHODS
  Between 1996 and 2003, 2198 patients underwent aortic valve replacement (AVR) (908 of them with concomitant CABG) in our institute. The mean age of the study population was 69+/-11 years (range 13-91, 43% female). Clinical and laboratory parameters based on the consolidated data mart set were evaluated by multiple logistic regression analysis.
  
  
  RESULTS
  The overall operative mortality (within 30 days) was 3.8% and the mortality after 3 months was 5.9%. In addition to clinical characteristics, the following laboratory values were identified as independent predictors of 30-day mortality: fasting blood glucose, antithrombine III, partial thromboplastine time and creatinine kinase. As independent predictors of 3-month mortality, the following laboratory values were indentified: fasting blood glucose, serum creatinine, antithrombine III, partial thromboplastine time, lactate dehydrogenase, sodium concentration and serum proteins. The discriminative power of the models increased if laboratory parameters were included in addition to preoperative clinical characteristics (from 0.75 to 0.79 and from 0.75 to 0.78 for 30-day and 3-month mortality, respectively). The discriminative power using the logistic EuroScore was lower (0.71 and 0.7, for 30-day and 3-month mortality, respectively).
  
  
  CONCLUSIONS
  Laboratory parameters as objective markers for organ function and nutritional status are useful data for the prediction of 30-day and 3-month mortality after aortic valve replacement. Using modern methods of information technology, these valuable data which are stored electronically in most hospitals, can be used efficiently for research and quality control.
authors.affiliation: Heart Institute Lahr/Baden, Germany. ines.florath@heart-lahr.com
authors.forename: Ines
authors.initials: I
authors.lastname: Florath
authors.forename: Alexander
authors.initials: A
authors.lastname: Albert
authors.forename: Wael
authors.initials: W
authors.lastname: Hassanein
authors.forename: Bert
authors.initials: B
authors.lastname: Arnrich
authors.forename: Ulrich
authors.initials: U
authors.lastname: Rosendahl
authors.forename: Ina C
authors.initials: IC
authors.lastname: Ennker
authors.forename: Jürgen
authors.initials: J
authors.lastname: Ennker
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001021:Aortic Valve / Q000601:surgery*; D001022:Aortic Valve Insufficiency / Q000601:surgery; D001024:Aortic Valve Stenosis / Q000601:surgery; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D015992:Body Mass Index; D001026:Coronary Artery Bypass; D003402:Creatine Kinase / Q000097:blood; D003404:Creatinine / Q000097:blood; D004812:Epidemiologic Methods; D005215:Fasting / Q000097:blood; D005260:Female; D005858:Germany / Q000453:epidemiology; D019918:Heart Valve Prosthesis Implantation / Q000401:mortality*; D006801:Humans; D008297:Male; D008875:Middle Aged
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D003404:Creatinine; D003402:Creatine Kinase