OBJECTIVE: To determine the mortality, hospital stay, and total hospital charges and cost of hospitalization attributable to candidemia by comparing patients with candidemia with control-patients who have otherwise similar illnesses. Prior studies lack broad patient and hospital representation or cost-related information that accurately reflects current medical practices. DESIGN: Our case-control study included case-patients with candidemia and their cost-related data, ascertained from laboratory-based candidemia surveillance conducted among all residents of Connecticut and Baltimore and Baltimore County, Maryland, during 1998 to 2000. Control-patients were matched on age, hospital type, admission year, discharge diagnoses, and duration of hospitalization prior to candidemia onset. RESULTS: We identified 214 and 529 sets of matched case-patients and control-patients from the two locations, respectively. Mortality attributable to candidemia ranged between 19% and 24%. On multivariable analysis, candidemia was associated with mortality (OR, 5.3 for Connecticut and 8.5 for Baltimore and Baltimore County; P < .05), whereas receiving adequate treatment was protective (OR, 0.5 and 0.4 for the two locations, respectively; P < .05). Candidemia itself did not increase the total hospital charges and cost of hospitalization; when treatment status was accounted for, having received adequate treatment for candidemia significantly increased the total hospital charges and cost of hospitalization ($6,000 to $29,000 and $3,000 to $22,000, respectively) and the length of stay (3 to 13 days). CONCLUSION: Our findings underscore the burden of candidemia, particularly regarding the risk of death, length of hospitalization, and cost associated with treatment.
OBJECTIVE: To determine the mortality, hospital stay, and total hospital charges and cost of hospitalization attributable to candidemia by comparing patients with candidemia with control-patients who have otherwise similar illnesses. Prior studies lack broad patient and hospital representation or cost-related information that accurately reflects current medical practices. DESIGN: Our case-control study included case-patients with candidemia and their cost-related data, ascertained from laboratory-based candidemia surveillance conducted among all residents of Connecticut and Baltimore and Baltimore County, Maryland, during 1998 to 2000. Control-patients were matched on age, hospital type, admission year, discharge diagnoses, and duration of hospitalization prior to candidemia onset. RESULTS: We identified 214 and 529 sets of matched case-patients and control-patients from the two locations, respectively. Mortality attributable to candidemia ranged between 19% and 24%. On multivariable analysis, candidemia was associated with mortality (OR, 5.3 for Connecticut and 8.5 for Baltimore and Baltimore County; P < .05), whereas receiving adequate treatment was protective (OR, 0.5 and 0.4 for the two locations, respectively; P < .05). Candidemia itself did not increase the total hospital charges and cost of hospitalization; when treatment status was accounted for, having received adequate treatment for candidemia significantly increased the total hospital charges and cost of hospitalization ($6,000 to $29,000 and $3,000 to $22,000, respectively) and the length of stay (3 to 13 days). CONCLUSION: Our findings underscore the burden of candidemia, particularly regarding the risk of death, length of hospitalization, and cost associated with treatment.
Authors: Eric J Bow; Gerald Evans; Jeff Fuller; Michel Laverdière; Coleman Rotstein; Robert Rennie; Stephen D Shafran; Don Sheppard; Sylvie Carle; Peter Phillips; Donald C Vinh Journal: Can J Infect Dis Med Microbiol Date: 2010 Impact factor: 2.471
Authors: D Neofytos; S Huprikar; A Reboli; M Schuster; N Azie; B Franks; D Horn Journal: Eur J Clin Microbiol Infect Dis Date: 2013-08-02 Impact factor: 3.267
Authors: Guy St-Germain; Michel Laverdière; René Pelletier; Pierre René; Anne-Marie Bourgault; Claude Lemieux; Michael Libman Journal: Can J Infect Dis Med Microbiol Date: 2008-01 Impact factor: 2.471
Authors: C Lichtenstern; S Swoboda; M Hirschburger; E Domann; T Hoppe-Tichy; M Winkler; C Lass-Flörl; M A Weigand Journal: Anaesthesist Date: 2010-01 Impact factor: 1.041