title: Relationship of pulmonary artery catheter use to mortality and resource utilization in patients with severe sepsis.
abstract: OBJECTIVE
  To examine the relationship of pulmonary artery catheter (PAC) use to patient outcomes, including mortality rate and resource utilization, in patients with severe sepsis in eight academic medical centers.
  
  
  METHODS
  Case-control, nested within a prospective cohort study.
  
  
  METHODS
  Eight academic tertiary care centers.
  
  
  METHODS
  Stratified random sample of 1,010 adult admissions with severe sepsis.
  
  
  METHODS
  None.
  
  
  RESULTS
  The main outcome measures were in-hospital mortality, total hospital charge, and length of stay (LOS) for patients with and without PAC use. The case-matched subset of patients included 141 pairs managed with and without the use of a PAC. The mortality rate was slightly but not statistically significantly lower among the PAC use group compared with those not using a PAC (41.1% vs. 46.8%, p =.34). Even this trend disappeared after we adjusted for the Charlson comorbidity score and sepsis-specific Acute Physiology and Chronic Health Evaluation (APACHE) III (adjusted odds ratio, 1.02; 95% confidence interval, 0.61-1.72). In linear regression models adjusted for the Charlson comorbidity score, sepsis-specific APACHE III, surgical status, receipt of a steroid before sepsis onset, presence of a Hickman catheter, and preonset LOS, no significant differences were found for total hospital charges (139,207 US dollars vs. 148,190, adjusted mean comparing PAC and non-PAC group, p =.57), postonset LOS (23.4 vs. 26.9 days, adjusted mean, p =.32), or total LOS in intensive care unit (18.2 vs. 18.8 days, adjusted mean, p =.82).
  
  
  CONCLUSIONS
  Among patients with severe sepsis, PAC placement was not associated with a change in mortality rate or resource utilization, although small nonsignificant trends toward lower resource utilization were present in the PAC group.
authors.affiliation: Division of General Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
authors.forename: D Tony
authors.initials: DT
authors.lastname: Yu
authors.forename: Richard
authors.initials: R
authors.lastname: Platt
authors.forename: Paul N
authors.initials: PN
authors.lastname: Lanken
authors.forename: Edgar
authors.initials: E
authors.lastname: Black
authors.forename: Kenneth E
authors.initials: KE
authors.lastname: Sands
authors.forename: J Sanford
authors.initials: JS
authors.lastname: Schwartz
authors.forename: Patricia L
authors.initials: PL
authors.lastname: Hibberd
authors.forename: Paul S
authors.initials: PS
authors.lastname: Graman
authors.forename: Katherine L
authors.initials: KL
authors.lastname: Kahn
authors.forename: David R
authors.initials: DR
authors.lastname: Snydman
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Parsonnet
authors.forename: Richard
authors.initials: R
authors.lastname: Moore
authors.forename: David W
authors.initials: DW
authors.lastname: Bates
mesh_terms: D018806:APACHE; D000046:Academic Medical Centers; D000368:Aged; D000704:Analysis of Variance; D016022:Case-Control Studies; D002407:Catheterization, Swan-Ganz / Q000009:adverse effects / Q000706:statistics & numerical data*; D015897:Comorbidity; D015986:Confounding Factors, Epidemiologic; D003422:Critical Care / Q000379:methods / Q000706:statistics & numerical data; D005260:Female; D006295:Health Resources / Q000706:statistics & numerical data*; D017722:Hospital Charges / Q000706:statistics & numerical data; D017052:Hospital Mortality; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012307:Risk Factors; D018805:Sepsis / Q000401:mortality* / Q000628:therapy*; D016896:Treatment Outcome; D014481:United States / Q000453:epidemiology