title: Predicting mortality in nursing home residents with lower respiratory tract infection: The Missouri LRI Study.
abstract: BACKGROUND
  Lower respiratory tract infection (LRI) is a leading cause of mortality and hospitalization in nursing home residents. Treatment decisions may be aided by a clinical prediction rule that identifies residents at low and high risk of mortality.
  
  
  OBJECTIVE
  To identify patient characteristics predictive of 30-day mortality in nursing home residents with an LRI.
  
  
  METHODS
  Prospective cohort study of 1406 episodes of LRI in 1044 residents of 36 nursing homes in central Missouri and the St Louis, Mo, area between August 15, 1995, and September 30, 1998.
  
  
  METHODS
  Thirty-day all-cause mortality.
  
  
  RESULTS
  Thirty-day mortality was 14.7% (n = 207). In a logistic analysis, using generalized estimating equations to adjust for clustering, we developed an 8-variable model to predict 30-day mortality, including serum urea nitrogen, white blood cell count, body mass index, pulse rate, activities of daily living status, absolute lymphocyte count of less than 800/microL (0.8 x 10(9)/L), male sex, and deterioration in mood over 90 days. In validation testing, the model exhibited reasonable discrimination (c =.76) and calibration (nonsignificant Hosmer-Lemeshow goodness-of-fit statistic, P =.54). A point score based on this model's variables fit to the entire data set closely matched observed mortality. Fifty-two percent of residents had low (score of 0-4) or relatively low (score of 5-6) predicted 30-day mortality, with 2.2% and 6.2% actual mortality, respectively.
  
  
  CONCLUSIONS
  Our model distinguishes nursing home residents at relatively low risk for mortality due to LRI. If independently validated, our findings could help physicians identify nursing home residents in need of different therapeutic approaches for LRI.
authors.affiliation: Department of Family and Community Medicine, MA306 Medical Sciences Building, Columbia, MO 65212, USA. MehrD@health.missouri.edu
authors.forename: D R
authors.initials: DR
authors.lastname: Mehr
authors.forename: E F
authors.initials: EF
authors.lastname: Binder
authors.forename: R L
authors.initials: RL
authors.lastname: Kruse
authors.forename: S C
authors.initials: SC
authors.lastname: Zweig
authors.forename: R
authors.initials: R
authors.lastname: Madsen
authors.forename: L
authors.initials: L
authors.lastname: Popejoy
authors.forename: R B
authors.initials: RB
authors.lastname: D'Agostino
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D003663:Decision Trees; D019468:Disease Management; D005260:Female; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009735:Nursing Homes / Q000706:statistics & numerical data*; D011446:Prospective Studies; D011859:Radiography; D012141:Respiratory Tract Infections / Q000000981:diagnostic imaging / Q000401:mortality* / Q000628:therapy; D018570:Risk Assessment