title: Construction of a comorbidity index for prostate cancer patients linking state cancer registry with inpatient and outpatient data.
abstract: BACKGROUND
  Identifying clinically relevant comorbid conditions might lead to effective control of prostate cancer- specific risk factors and provide opportunities to improve patient care and outcomes. There are challenges in assessing comorbidity using linked databases such as statewide hospital administrative data and state cancer registry. The objective was to compile a comprehensive list of clinically relevant comorbid conditions for patients with prostate cancer using registry and statewide diagnosis databases.
  
  
  METHODS
  Florida Cancer Data System cases were linked with the inpatient/ outpatient diagnosis information. The Elixhauser Comorbidity Index was used as a reference. Conditions not captured by Elixhauser were identified, and grouped into clinically meaningful categories. Descriptive analysis was performed on comorbidity conditions and major study population variables. Associations of comorbidity with selected demographic and disease characteristics were examined.
  
  
  RESULTS
  Twenty-nine Elixhauser and 16 additional categories were examined within the 1 record per patient data set. Statistically significant association was found between comorbidity with race, stage, and age. Blacks had a higher mean number of conditions compared to whites. A higher proportion of blacks had at least 1 comorbid condition compared to whites. Additional conditions identified by this research capture more comorbidities for white men. Distinct trends towards larger number of comorbidities with older age at diagnosis and advanced disease stage were observed.
  
  
  CONCLUSIONS
  The Elixhauser Comorbidity Index captured the majority of comorbidities in the study population while the additional conditions identified by this research add more information. This study offers important insights into the challenges and process to identify relevant comorbidities for prostate cancer patients.
authors.forename: Hong
authors.initials: H
authors.lastname: Xiao
authors.forename: Fei
authors.initials: F
authors.lastname: Tan
authors.forename: Pierre
authors.initials: P
authors.lastname: Goovaerts
authors.forename: Askal
authors.initials: A
authors.lastname: Ali
authors.forename: Georges
authors.initials: G
authors.lastname: Adunlin
authors.forename: Youjie
authors.initials: Y
authors.lastname: Huang
authors.forename: Clement
authors.initials: C
authors.lastname: Gwede
mesh_terms: D001741:Black or African American; D000368:Aged; D015897:Comorbidity; D003625:Data Collection / Q000379:methods*; D003953:Diagnosis-Related Groups; D005431:Florida; D006801:Humans; D038801:International Classification of Diseases; D008297:Male; D008875:Middle Aged; D011471:Prostatic Neoplasms / Q000453:epidemiology* / Q000208:ethnology; D012042:Registries