Clinical characteristics and outcomes of patients with acute myelogenous leukemia admitted to intensive care: a case-control study
© Roze des Ordons et al; licensee BioMed Central Ltd. 2010
Received: 9 March 2010
Accepted: 28 September 2010
Published: 28 September 2010
There is limited epidemiologic data on patients with acute myelogenous (myeloid) leukemia (AML) requiring life-sustaining therapies in the intensive care unit (ICU). Our objectives were to describe the clinical characteristics and outcomes in critically ill AML patients.
This was a retrospective case-control study. Cases were defined as adult patients with a primary diagnosis of AML admitted to ICU at the University of Alberta Hospital between January 1st 2002 and June 30th 2008. Each case was matched by age, sex, and illness severity (ICU only) to two control groups: hospitalized AML controls, and non-AML ICU controls. Data were extracted on demographics, course of hospitalization, and clinical outcomes.
In total, 45 AML patients with available data were admitted to ICU. Mean (SD) age was 54.8 (13.1) years and 28.9% were female. Primary diagnoses were sepsis (32.6%) and respiratory failure (37.3%). Mean (SD) APACHE II score was 30.3 (10.3), SOFA score 12.6 (4.0) with 62.2% receiving mechanical ventilation, 55.6% vasoactive therapy, and 26.7% renal replacement therapy. Crude in-hospital, 90-day and 1-year mortality was 44.4%, 51.1% and 71.1%, respectively. AML cases had significantly higher adjusted-hazards of death (HR 2.23; 95% CI, 1.38-3.60, p = 0.001) compared to both non-AML ICU controls (HR 1.69; 95% CI, 1.11-2.58, p = 0.02) and hospitalized AML controls (OR 1.0, reference variable). Factors associated with ICU mortality by univariate analysis included older age, AML subtype, higher baseline SOFA score, no change or an increase in early SOFA score, shock, vasoactive therapy and mechanical ventilation. Active chemotherapy in ICU was associated with lower mortality.
AML patients may represent a minority of all critically ill admissions; however, are not uncommonly supported in ICU. These AML patients are characterized by high illness severity, multi-organ dysfunction, and high treatment intensity and have a higher risk of death when compared with matched hospitalized AML or non-AML ICU controls. The absence of early improvement in organ failure may be a useful predictor for mortality for AML patients admitted to ICU.
Acute myelogenous (myeloid) leukemia (AML), a hematologic malignancy characterized by clonal proliferation of myeloblasts, is the most common type of leukemia in adults and uniformly fatal without treatment. Over the past 20 years, more aggressive chemotherapeutic regimens, availability of bone marrow transplantation (BMT), and development of subtype-directed therapies have led to improved survival. However, these more aggressive therapeutic strategies have also contributed to a higher likelihood of complications [3, 4], translating into a greater demand for support in an intensive care unit (ICU) setting[5–10]. Moreover, ICU support of these patients has been associated with more intensive and greater resource utilization.
A number of observational studies in patients with hematologic malignancies admitted to ICU have described the clinical outcomes and prognostic factors for survival [5–8, 11–22]. The majority of studies have been small, single centre, retrospective cases-series and have enrolled a mixed cohort of critically ill patients with all forms of hematologic malignancy or who had received a BMT.(Additional File 1) Few studies have specifically investigated the ICU course in AML patients[13, 14, 16, 17]. Two primarily focused on AML patients with pulmonary infiltrates requiring mechanical ventilation, and reported a dismal ICU survival of 3-13%[14, 17]. In another study of 83 consecutive AML patients, Rabbat et al reported 66% ICU survival and 33% 1-year survival. In a cohort of 90 consecutive patients admitted to ICU over 3-year surveillance, of which 82% had a primary AML diagnosis, Thakkar et al described poor 6 and 12 month survival of only 18% and 16%, respectively. Finally, Park et al described 68% hospital mortality in 50 acute leukemia patients, 70% with AML, admitted to ICU with septic shock. However, clear inferences regarding prognosis for critically ill AML patients from these studies are limited due to selection bias (i.e. only receiving mechanical ventilation), inclusion of a mixed leukemia population (i.e. acute lymphoblastic leukemia), or lack of controls for comparison.
Accordingly, we performed a retrospective case-control study of patients with AML admitted to ICU. We hypothesized that AML patients receiving ICU support would have higher mortality when compared with matched controls; however, that a considerable proportion of these AML patients would survive to leave hospital. Our objectives were to: 1) define the incidence of ICU admissions with a primary diagnosis of AML; 2) describe the clinical characteristics, course and treatment intensity of ICU admissions with AML; and 3) describe the short- and long-term outcomes of ICU AML patients compared with matched non-AML ICU patients and non-ICU AML hospitalized patients.
Study Design, Setting and Population
We performed a retrospective case-control study of patients with acute myelogenous (myeloid) leukemia (AML) admitted to the General Systems Intensive Care Unit (GSICU) at the University of Alberta Hospital between January 1st, 2002 and June 30th, 2008. Cases were defined as adult patients (age ≥18 years) with a confirmed diagnosis of AML and admission to the GSICU. Each case was then matched with two control groups: 1) non-ICU hospitalized patients with confirmed AML (i.e. admitted to the medical/hematology ward; matched 1:1); and subsequently to 2) non-AML critically ill patients (i.e. admitted to the GSICU; matched 1:5). The study protocol was approved by the Health Research Ethics Board at the University of Alberta prior to commencement.
AML diagnosis was typed and characterized according to the WHO and FAB classification schemes. The status of AML was categorized as: newly diagnosed/active, refractory or relapse, in remission following HSCT, or in remission. AML patients were also classified according to treatment regimen received: intensive induction/consolidative chemotherapy, or cytoreductive chemotherapy and/or palliation. Patients receiving induction/consolidative chemotherapy for AML at our institution do not routinely receive prophylactic antibiotic or antifungal therapy. Neutropenia was defined as an absolute neutrophil count < 1.0 × 109 cells/L. When patients develop an episode of febrile neutropenia (i.e. documented temperature ≥38.3°C and ANC ≤1.0 cells/109) empiric broad-spectrum antimicrobials are initiated. The presence of co-morbid illness was determined and quantified. Non-AML leukemia, lymphoma or solid organ tumor were defined by confirmatory pathologic investigations. Congestive heart failure (CHF) was defined as the presence of New York Heart Association (NYHA) class III or IV disease. Chronic lung disease was defined as functional limitation or home oxygen therapy attributable to documented lung pathology. Chronic kidney disease (CKD) was defined as National Kidney Foundation Kidney Disease Outcome Quality Initiative (KDIGO) ≥ stage 4 disease. Liver disease was defined as biopsy proven cirrhosis or elevated liver enzymes attributable to active liver disease. Human immunodeficiency virus (HIV) or acquired immunodeficiency syndrome (AIDS) were defined by documented HIV status and/or documented opportunistic infection/illness attributable to HIV. Shock was defined by a documented mean arterial pressure (MAP) ≤60 mmHg and/or use of vasoactive therapy and an elevated serum lactate. Illness severity was defined according to the Acute Physiology and Chronic Health Evaluation (APACHE) II score. Baseline and changes to organ failure were characterized by the Sequential Organ Failure Assessment (SOFA) score. Acute kidney injury (AKI) was defined as an acute rise in serum creatinine ≥150 μmol/L or urine output ≤400 mL/24 hr and no documented CKD (≥ stage 4).
Cases were identified by review of a local database of consecutive new diagnoses of AML maintained by the Department of Laboratory Medicine at the University of Alberta Hospital. This database maintains detailed data on the clinical and diagnostic characteristics of AML patients (i.e. WHO classification, cytogenetic profile, laboratory values at diagnosis). These AML patients were subsequently cross referenced with an ICU-specific database, the Minimal Data Set (MDS) database, which routinely captures demographic, clinical, physiologic and outcome data on all GSICU admissions. The linkage of these two datasets enabled capture of "cases" of confirmed AML and GSICU admission. Each case was subsequently matched to the two control groups. Non-ICU hospitalized AML controls were randomly selected from the AML database and matched for age (± 2 years) and sex. Non-AML ICU controls were randomly selected from the MDS dataset, and matched for age (± 2 years), sex and APACHE II score (± 2 points) (ICU cohort only).
Detailed data pertaining to demographics, clinical characteristics, acute physiology, course in hospital, and clinical outcomes were extracted from the medical records of each patient and merged with data obtained from the AML and MDS databases. Demographic and baseline clinical data included age, sex, co-morbid disease, primary diagnosis, surgical status, and dates of hospital/ICU admission and discharge. The characteristics of AML were extracted from the AML database. For cases and ICU controls, acute physiologic data, laboratory parameters, and clinical course, interventions, including corticosteroids, AML-specific chemotherapy, vasoactive therapy, mechanical ventilation and renal replacement therapy (RRT) were recorded. SOFA scores were ascertained at baseline and at days 1, 3 and 7 after ICU admission.
The primary outcome of interest was the incidence of ICU admissions for patients with a diagnosis of AML, defined as a proportion (number of cases per number of individual admissions) and as number of cases per 1000 ICU admissions. For patients with more than one ICU admission within the same hospitalization, only the first ICU episode was considered. Secondary outcomes of interest included short-term (ICU/hospital) and long-term (90-day, 1-year) survival, ICU/hospital lengths of stay, changes in organ failure scores during the first week in ICU (i.e. ΔSOFA), and measures of treatment intensity (i.e. need for mechanical ventilation, vasoactive therapy, and RRT). Tertiary outcomes included determination of factors associated with survival to discharge from ICU.
Clinical variables and univariate comparison between groups are reported as means with standard deviations (SD) for normally or near normally distributed variables and compared using Student's t-test or analysis of variance (ANOVA); non-normally distributed continuous data is reported as medians with inter-quartile ranges (IQR) and compared using Mann Whitney U test or Kruskal Wallis test, as appropriate. Categorical data are reported as proportions and compared using Fisher's Exact Test. Crude survival stratified by study group was assessed graphically by the Kaplan-Meier product limit estimator and compared with the log-rank test. Cox proportional hazards analysis was used to evaluate the association between AML cases and controls and mortality. Data are presented as crude and covariate-adjusted hazard ratios (HR) and 95% confidence intervals (CI). Plots of log (-log [survival]) versus log (survival time) were constructed to evaluate the assumption of proportionality. Univariate analysis of AML cases was performed to evaluate for clinical factors associated with ICU survival. Intercooled Stata Release 10.2 (Stata Corp, TX) was used for all data analysis. A p-value of <0.05 was considered statistically significant for all comparisons.
Summary of baseline demographic and clinical features of patients stratified by group.
(n = 320)
AML ICU Cases
(n = 45)
AML non-ICU Controls
(n = 50)
Non-AML ICU Controls
(n = 225)
Age (mean [SD]) (years)
Female sex (%)
BMI (mean [SD]) (kg/m 2 )
Co-morbid disease type (%)
Solid organ tumor
Congestive heart failure
Chronic lung Disease
Chronic kidney disease
Co-morbid disease (%) ¶
Surgical admission (%)
Demographic, Clinical and Diagnostic Characteristics of AML
Summary of diagnostic characteristics of AML.
(n = 95)
AML ICU Cases
(n = 45)
AML non-ICU Controls
(n = 50)
AML WHO classification (n = 91)
AML with recurrent genetic abnormalities
AML with multi-lineage dysplasia
AML and myelodysplastic syndromes, therapy-related
AML not otherwise categorized
AML FAB Classification (n = 71)
Cytogenetic prognosis § (%)
Complete blood count at diagnosis:
White cell count (WBC) (cells/10 9 )
WBC < 1 (%)
WBC > 25 (%)
Duration of Neutropenia (days) (mean [SD])
Bone marrow blast count (%)
Newly diagnosed/active disease
Baseline Characteristics, Physiology and Laboratory Parameters in ICU
Summary of ICU admission characteristics, acute physiology, and laboratory parameters stratified by AML status.
(n = 275)
AML ICU Cases
(n = 45)
Non-AML ICU Controls
(n = 225)
Admission diagnostic category (%)§
APACHE II score (mean [SD])
APACHE II score > 25 (%)
SOFA score (mean [SD])
SOFA score > 11 (%)
Mechanical ventilation (%)
GCS (mean [SD])
Temperaturemax (mean [SD]) (degrees C)
Heart ratemax (mean [SD]) (/min)
Respiratory ratemax (mean [SD]) (/min)
Mean arterial pressuremin (mean [SD]) (mmHg)
Hematocrit (mean [SD])
White blood cell count (med [IQR]) (109 cells/mL)
Bilirubin (med [IQR]) (μmol/L)
PaO2/FiO2 ratio (mean [SD])
pH (mean [SD])
Serum Sodium (mean [SD]) (mmol/L)
Serum Creatinine (med [IQR) (μmol/L)
Urine output (med [IQR]) (L/24 hr)
Urine output <400 mL (%)
Acute kidney injury (%)
Treatment Intensity and Course in ICU for AML patients
AML cases were significantly less likely to receive mechanical ventilation (p = 0.003) despite comparable or low PaO2/FiO2 ratios. Of AML cases, 88.4% presented with shock, and 75.6% were supported with vasoactive therapy. Acute kidney injury occurred in 53.5% with 47.8% of these patients subsequently receiving support with acute RRT. In total, 97.8% received broad-spectrum antimicrobials, 86.7% received transfused blood products, 48.9% received replacement corticosteroids, 51.2% received G-CSF and 15.6% received AML-specific chemotherapy while in ICU. At the time of ICU admission, 93.3% were designated as full resuscitation, however, 47.6% later had their status changed to not for resuscitation (NFR) while in ICU. Of the 17 ICU deaths in AML patients, 88.2% occurred in those with a change in NFR status (p < 0.0001 compared with ICU mortality for no change in NFR status).
Survival, Lengths of Stay and Discharge Disposition
Summary of clinical outcomes stratified by group.
(n = 145)
AML ICU Cases
(n = 45)
AML non-ICU Controls
(n = 50)
Non-AML ICU Controls
(n = 225)
ICU death (%)
Hospital death (%)
28-Day death (%)
90-Day death (%)
1-Year death (%)
ICU length of stay (days)
Hospital length of stay (days)
Median survival (95% CI) (days)
Cox proportional hazards survival analysis stratified by group.
Prognostic Factors for AML Patients in ICU
Univariate factors associated with 90-day mortality in patients with AML.
(n = 25)
(n = 20)
Age (mean [SD])
≥ 2 co-morbidities (%)
AML M1 Subtype (%)
Poor cytogenetic profile (%)
Time from AML diagnosis to ICU (d)
Relapse/refractory AML status (%)
Duration of neutropenia (d) (med [IQR])
Chemotherapy in ICU (%)
Sepsis diagnosis (%)
APACHE II score (mean [SD])
SOFA score (mean [SD])
Delta SOFA (day 1) (med [IQR])
1 (0 to 3)
0 (-2 to 2)
Delta SOFA (day 3) (med [IQR])
2 (-1 to 4)
-2 (-4 to 2)
SOFA (maximum) (mean [SD])
MAP <60 mmHg (%)
Lactate (mmol/L) (mean [SD])
Vasoactive therapy (%)
Platelets (10 9 cells/L) (med [IQR])
Bilirubin (μmol/L) (mean [SD])
P/F ratio (mean [SD])
Mechanical ventilation (%)
Creatinine (μmol/L) (mean [SD])
Renal replacement therapy (%)
Withdrawal of support (%)
We conducted a 6.5-year retrospective matched case-control study to compare the clinical characteristics, course, and outcomes of patients with AML admitted to ICU compared with non-critically ill hospitalized AML controls and non-AML critically ill controls.
Our data have several relevant findings. First, while AML patients represent only a minority of all ICU admissions, we found that life threatening illness prompting ICU admission is not uncommon, occurring in 13% of all patients with a diagnosis of AML. Second, these critically ill AML patients had predominantly septic and/or respiratory-related diagnoses and exhibited a high acuity of illness, with the majority presenting with shock. Moreover, AML patients had greater severity of organ dysfunction. Third, AML patients were less likely to receive mechanical ventilation; yet overall they received high intensity support that included vasoactive therapy in 75.6% and RRT in 26.7%, respectively. This translated into longer, though non-significant, stays in ICU and hospital. Fourth, we also found critically ill AML patients had lower adjusted-survival when compared with controls. By univariate analysis, several factors were associated with a lower probability of survival, including older age, AML M1 subtype, higher baseline SOFA score, presence of shock, vasoactive therapy and mechanical ventilation. We also found that worsening SOFA score early after ICU admission correlated with lower survival. Alternatively, receipt of AML-specific chemotherapy while in ICU correlated with higher survival. Finally, changes in patient resuscitation status (i.e. to NFR) and withdrawal of support were both significantly associated with higher likelihood of death at 90-days.
There is a paucity of epidemiological data pertaining to patients with AML requiring life-sustaining measures in the ICU. (Additional File 1) While numerous small series have reported on the clinical outcomes for patients with all forms of hematologic malignancy admitted to ICU, very few have focused on AML, and fewer still have provided estimates of incidence[13, 14, 16, 17]. During a 5-year surveillance, Tremblay et al reported that among 163 consecutive hospitalized AML patients, with a range in AML status (including 38 having received a HSCT), only 32 were admitted to ICU and supported with mechanical ventilation (cumulative incidence 19.6%). We observed a lower cumulative incidence, with just over 1 in 10 of all newly diagnosed AML patients being supported in ICU; moreover, we observed that AML patients comprised <1% of all ICU admissions during the study period. In a 4-year retrospective study, Merz et al reported on 101 ICU admissions (n = 84) with hematologic malignancies, of which 54.4% had a diagnosis of AML. These AML admissions represented approximately 1.4% of all "emergent and medical" ICU admissions.
Among AML patients admitted to ICU, the in-hospital, 90-day and long-term adjusted-survival were observed to be lower when compared with either hospitalized AML or ICU controls. To our knowledge, this is the first study to evaluate the long-term survival experience of critically ill AML patients compared with matched controls. When compared with an unmatched convenience sample of non-AML critically ill patients, Tremblay et al found AML patients requiring mechanical ventilation to clearly have higher in-hospital mortality. Merz et al found in-hospital mortality noticeably higher for ICU admissions associated with hematologic malignancies compared with unmatched controls (33.7% vs. 10.7%, p < 0.0001). In general, the observed survival in our study is largely consistent with prior studies, where estimates of ICU, in-hospital and 1-year survival were 12-70%, 3-64%, and 0-34%, respectively [12–14, 16, 17, 20, 21, 26–34]. The median survival of critically ill AML patients in our cohort was only about three months, in contrast to approximately nine months for the control groups. While the majority of deaths in AML patients occurred early after ICU admission (median duration 5 days), the adjusted risk of death remained significantly higher during follow-up compared with either control group. These data would suggest, in general, that AML patients developing an episode of critical illness prompting ICU support have a less favorable outcome compared with hospitalized AML and non-AML ICU patients.
Prior data imply AML patients supported in ICU have greater health resource utilization. This was shown by Merz et al, who described considerably higher ICU resource use by hemato-oncological patients, as measured by the Therapeutic Interventions Scoring System (TISS) (214 vs. 95, p < 0.0001) and ICU length of stay (2.0 vs. 1.1 days, p < 0.02), compared with emergent medical ICU patients. Despite no difference in the rates of mechanical ventilation or RRT between groups, both of these interventions showed significant correlation with total ICU resource use. This also translated into greater total direct costs per ICU admission for hemato-oncological patients. While our study did not incorporate a formal cost analysis, AML patients in our study had non-significant, but longer observed stays in both ICU and hospital. Interestingly, our data found significantly fewer AML patients received mechanical ventilation, despite evidence of similar or worst lung injury. This observation may, in part, be attributable to prior data correlating less favorable prognosis for these patients requiring mechanical ventilation[17, 22, 28, 35]. These data also suggest greater health resource use for AML patients; however, there is little data on whether this is balanced by higher quality-adjusted survival of ICU admissions with hematologic malignancy. In a small series of 92 critically ill patients with hematologic malignancy, Yau et al described the quality-of-life as acceptable or good in the 7 survivors (7.6%) at 1-year, with no patient reporting significant limitations to daily activities.
Few data have explored the long-term disposition of AML patients after life-threatening critical illness. Interestingly, despite lower overall survival, 46.7% of all AML patients supported in ICU in our study survived hospitalization to be discharged home (or 84.0% of survivors). This was statistically comparable to hospitalized AML and ICU controls.
The characterization of potential factors predictive of survival for hematologic malignancy patients prior to and/or early after ICU admission has been the focus of considerable research effort[12, 13, 16, 20, 22, 26, 28, 30–32, 35]. Several factors have been suggested to predict non-survival at various time points across a range of studies including: older patient age, poor performance status, AML subtype, relapsed/refractory AML status, poor cytogenetic profile, higher illness severity or organ failure score[13, 16, 18, 22, 31, 32], leukopenia, vasopressor therapy[12, 16, 22], mechanical ventilation[13, 16, 22], acute kidney injury, absence of bloodstream infection[12, 27], and fungal sepsis. In our cohort, we found that older age, AML M1 subtype, higher organ failure score, the presence of shock, vasopressors therapy, and mechanical ventilation were all associated with lower survival. There was no association between survival and cytogenetic profile, therapeutic regimen or burden of co-morbid illness. However, these prognostic factors have been inconsistent and not readily reproducible, due largely to issues related to study design (i.e. small, single centre, retrospective, no controls, analysis) and lack of generalizability (i.e. selection bias, mixed hematologic populations). Of note, we also found receipt of active intensive chemotherapy while in ICU was associated with higher observed survival. Recently, Vandijck et al reported that active chemotherapy was associated with better ICU survival in a cohort of 77 patients admitted to ICU with severe sepsis or septic shock. These observations would suggest that prognosis for AML patients receiving active chemotherapy may be better than perceived.
Perhaps no constellation of disease or treatment-specific factors will consistently predict outcome for all AML patients developing life-threatening critical illness. As such, it may be that prognostic factors may have a limited role in the decision to admit an AML patient to ICU. Indeed, hospital survival in our study was 55.6%, with 84.0% of survivors returning home and 29.9% alive at 1-year. Instead, prognostic factors may have greater relevance for decisions regarding the withholding of life-sustaining therapies and in end-of-life care. For example, worsening illness severity and/or organ dysfunction early after ICU admission has been found to predict poor clinical outcome[11, 31, 32]. Massion et al showed an improvement in Multi-Organ Dysfunction Score (MODS) of ≤1 point between ICU admission and day 5 correlated with increased mortality (81% vs. 29%, p = 0.001). Merz et al described significant higher 28-day mortality for patients with worsening SOFA score over the first 48 hours (OR 24.4, 95% CI, 8.8-67.9, p < 0.0001). Finally, Lamia et al showed worsening Simplified Acute Physiology Score (SAPS) II score, Logistic Organ Dysfunction score (LODS), and SOFA score during the first three days after ICU admission to be the best predictors of in-hospital mortality. Our study further confirmed these observations. We found that the absence of change or an increase in organ failure score early after ICU admission correlated with lower survival.
Furthermore, we found that a change in patient resuscitation status from full resuscitation to not for resuscitation (NFR) and withdrawal of active support were common and both significantly modified the observed mortality at 90-days. In a series of 124 consecutive critically ill hematological malignancy patients, Benoit et al found 4% had a NFR order written within 24 hours of ICU admission, while 20.2% had a NFR order written after a median 7 days in ICU. In our study, only 6.7% of AML ICU patients had a NFR order at presentation, whereas an additional 46.7% had their status later changed to NFR while in ICU. While we did not specifically examine the timing of this change, decisions about withholding life-sustaining measures in our study may have related to higher or worsening organ failure score and need for escalation in treatment intensity (i.e. vasoactive therapy, mechanical ventilation, RRT). We did not find association between change in resuscitation status and age, co-morbidity score, AML subtype, poor AML cytogenetic prognosis, or duration of ICU stay. We recognize one plausible explanation for this finding may relate to a clinician perception of poor clinical outcome and/or general reluctance to pursue aggressive and/or prolonged life sustaining measures for AML patients.
There are important limitations to our study. First, our study was single-centered and retrospective in design and was therefore potentially susceptible to bias. For example, we were unable to determine whether AML patients designated as "non-ICU" had end-of-life discussions that precluded admission to ICU, despite comparable "critical illness", which would unduly influence our incidence estimate (i.e. selection bias). However, we have attempted to minimize this by showing no significant differences in the therapeutic regiments received by AML cases and controls. Second, despite over 6 years of surveillance for AML patients admitted to our ICU, our sample was small and provided limited statistical power; we therefore omitted multi-variable analysis for determination of predictors of survival. To compensate, we further matched AML patients based on age, sex and APACHE II score (ICU only). While we did not a priori match AML groups for cytogenetic profile or therapeutic regimen received, we found no statistical differences between the AML cases and controls. Third, we endeavored to match the final cohort of AML cases with non-AML ICU controls by a ratio of 1:5; however, we recognize these ICU controls still represent a heterogeneous population and, despite similar illness severity, have observed differences that may impact outcome (i.e. primary diagnosis, prevalence of co-morbid illness). Finally, we were not able to ascertain additional secondary outcomes of relevance to survivors, such as health-related quality of life or functional status and the details of ongoing care requirements, which may also have prognostic significance.
In summary, AML patients may represent a minority of all critically ill admissions; however, are not uncommonly supported in ICU. These AML patients are characterized by high illness severity, multi-organ dysfunction, and high treatment intensity and have a higher risk of death when compared with matched hospitalized AML or non-AML ICU controls. Critically ill AML patients also have greater long-term mortality, which may be associated with severe clinical and disease-specific factors including absence of improvement in organ dysfunction early after ICU admission. Despite lower survival; however, our data imply a significant proportion of these critically ill AML patients survive hospitalization and are discharged home. We contend that additional multi-centre prospective studies are needed to further characterize these outcomes in AML patients suffering an episode of life-threatening critical illness.
Approximately 1 in 10 patients newly diagnosed with AML develop life-threatening critical illness prompting life-sustaining therapy in ICU.
AML patients admitted to ICU have greater organ dysfunction, higher treatment intensity and use more health resources compared with matched controls.
AML patients admitted to ICU have higher short- and long-term mortality compared with matched controls.
Early absence of change or an increase in organ failure score following admission to ICU was associated with lower likelihood of survival for AML patients.
Despite the higher mortality observed for AML patients admitted to ICU compared with matched controls, a significant proportion of them survive and are discharged home.
acute myelogenous leukemia
acute physiology and chronic health evaluation
bone marrow transplantation
do not resuscitate
intensive care unit
Logistic Organ Dysfunction score
renal replacement therapy
sequential organ failure assessment
Dr. Bagshaw is supported by a Clinical Investigator Award from the Alberta Heritage Foundation for Medical Research.
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