Objective: Hematopoietic stem cell transplant (HSCT) recipients admitted to the intensive care unit (ICU) have high mortality. The prognostic importance of peripheral blood stem cell source in critically ill HSCT recipients and the performance of Acute Physiology and Chronic Health Evaluation (APACHE) III have not been well studied. In a previous study, the hospital mortality rate of HSCT recipients admitted to our ICU was 77%. The objectives of this study were to describe the clinical course of HSCT recipients admitted to the ICU and to determine the performance of APACHE III in predicting their mortality.
Design: Retrospective cohort study.
Setting: Academic medical center.
Patients: HSCT recipients admitted to the ICU.
Measurements: Demographics, transplant type, stem cell source, APACHE II and III predicted mortality, development of sepsis and organ failure, use of mechanical ventilation, duration of hospital stay, and mortality.
Results: Ninety-four percent of the 112 HSCT recipients were white and 64% male. The mean APACHE II and III scores were 25 and 44, respectively. The APACHE II and III hospital predicted mortality rates were 44% and 42%, respectively. Mechanical ventilation was provided to 63%. Organ failure developed in 94% and sepsis in 62%. The ICU, hospital, and 30-day mortality rates were 33%, 46%, and 52%, respectively. Allogeneic transplant and higher APACHE III scores, but not bone marrow stem cell source, were associated with increased mortality. Invasive mechanical ventilation, vasoactive medication use, sepsis, and organ failure during patients' ICU course were also associated with increased mortality. The area under the receiver operating characteristic curve for APACHE III hospital mortality prediction was 0.704 (95% confidence interval, 0.610-0.786). For APACHE III hospital mortality prediction, the value of the Hosmer-Lemeshow statistic showed good model fit.
Conclusions: Current mortality figures of HSCT recipients admitted to the ICU are better than previously reported. The APACHE III prognostic model has moderate discrimination and good calibration in predicting hospital mortality in these patients.