Mortality-Related Risk Factors in Patients with Hematologic Neoplasm Admitted to the Intensive Care Unit: A Systematic Review

BACKGROUND

Hematooncology patients admitted to intensive care units (ICUs) are at high risk for mortality due to the severity of their critical illness. Such complications can develop into complex clinical management, thus signaling an urgent need to identify mortality-related factors to improve interventions and outcomes for these patients.

METHODS

A systematic review of studies published between 2012 and 2023 in databases such as PubMed, Scopus, and Web of Science was conducted, following the PRISMA guidelines. A meta-analysis was carried out to determine the significance of mortality-related factors.

RESULTS

In a review of twenty-four studies, it was found that invasive mechanical ventilation (IMV) was associated with an odds ratio (OR) between 2.70 and 8.26 in 75% of the studies. The use of vasopressor support had an OR of 6.28 in 50% of the studies, while pulmonary involvement by tumor had an OR of 6.73 in 30% of the studies. Sepsis showed an OR of 5.06 in 60% of the studies, and neutropenia upon admission increased mortality in 40% of the studies. Severe respiratory failure (PaO2/FiO2 < 150) had an OR of 7.69 in 55% of the studies. Additionally, ICU readmission and late admission were identified as risk factors for increased mortality.

CONCLUSIONS

Mortality among hematooncology ICU patients is associated with IMV, vasopressor support, pulmonary involvement, sepsis, neutropenia, severe respiratory failure, ICU readmission, and late admission. Identifying and managing these factors in a timely manner can improve survival and the quality of care.

Oncology Intensive Care Units: Distinguishing Features and Clinical Considerations

The rapidly advancing field of cancer therapeutics has led to increased longevity among cancer patients as well as increasing complexity of cancer-related illness and associated comorbid conditions. As a result, institutions and organizations that specialize in the in-patient care of cancer patients have similarly evolved to meet the constantly changing needs of this unique patient population. Within these institutions, the intensive care units that specialize in the care of critically ill cancer patients represent an especially unique clinical resource. This article explores some of the defining and distinguishing characteristics associated with oncology ICUs.

A Systematic Review and Meta-Analysis Evaluating Geographical Variation in Outcomes of Cancer Patients Treated in ICUs

The reported mortality rates of cancer patients admitted to ICUs vary widely. In addition, there are no studies that examined the outcomes of critically ill cancer patients based on the geographical regions. Therefore, we aimed to evaluate the mortality rates among critically ill cancer patients and provide a comparison based on geography.

DATA SOURCES

PubMed, EMBASE, and Web of Science.

STUDY SELECTION

We included observational studies evaluating adult patients with cancer treated in ICUs. We excluded non-English studies, those with greater than 30% hematopoietic stem cell transplant or postsurgical patients, and those that evaluated a specific type of critical illness, stage of malignancy, or age group.

DATA EXTRACTION

Two reviewers independently applied eligibility criteria, assessed quality, and extracted data. Studies were classified based on the continent in which they were conducted. Primary outcomes were ICU and hospital mortality. We pooled effect sizes by geographical region.

DATA SYNTHESIS

Forty-six studies were included (n = 110,366). The overall quality of studies was moderate. Most of the published literature was from Europe (n = 22), followed by North America (n = 9), Asia (n = 8), South America (n = 5), and Oceania (n = 2). Pooled ICU mortality rate was 38% (95% CI, 33-43%); the lowest mortality rate was in Oceania (26%; 95% CI, 22-30%) and highest in Asia (51%; 95% CI, 44-57%). Pooled hospital mortality rate was 45% (95% CI, 41-49%), with the lowest in North America (37%; 95% CI, 31-43%) and highest in Asia (54%; 95% CI, 37-71%).

CONCLUSIONS

More than half of cancer patients admitted to ICUs survived hospitalization. However, there was wide variability in the mortality rates, as well as the number of available studies among geographical regions. This variability suggests an opportunity to improve outcomes worldwide, through optimizing practice and research.

Primary brain tumor patients admitted to a US intensive care unit: a descriptive analysis

Purpose:

To describe our population of primary brain tumor (PBT) patients, a subgroup of cancer patients whose intensive care unit (ICU) outcomes are understudied.

Methods:

Retrospective analysis of PBT patients admitted to an ICU between 2013 to 2018 for an unplanned need. Using descriptive analyses, we characterized our population and their outcomes.

Results:

Fifty-nine PBT patients were analyzed. ICU mortality was 19% (11/59). The most common indication for admission was seizures (n = 16, 27%).

Conclusion:

Our ICU mortality of PBT patients was comparable to other solid tumor patients and the general ICU population and better than patients with hematological malignancies. Further study of a larger population would inform guidelines for triaging PBT patients who would most benefit from ICU-level care.

Purpose: Data are lacking regarding outcomes of patients with primary brain tumors (PBTs) admitted to an intensive care unit (ICU), which may it difficult for ICU providers to know who of these patients will best benefit from ICU-level care. We aimed to describe our patient population to contribute to the limited data. Methods: We performed a retrospective analysis of critically ill PBT patients in our ICU. Results: Of 59 patients analyzed, ICU mortality was 19% (11/59), and the most common indication for admission was seizures (n = 16, 27%). Conclusion: Our ICU mortality of PBT patients was comparable to other solid tumor patients and the general ICU population and better than patients with hematological malignancies.

Outcomes of Patients with Malignancy Admitted to the Intensive Care Units: A Prospective Study

INTRODUCTION

Decisions regarding whether advanced cancer patients should be admitted to the ICU are based on a complex suite of considerations, including short- and long-term prognosis, quality of life, and therapeutic options to treat cancer. We aimed to describe demographic, clinical, and survival data and to identify factors associated with mortality in critically ill advanced cancer patients with nonelective admissions to general ICUs.

MATERIALS AND METHODS

Critically ill adult (≥18 years old) cancer patients nonelectively admitted to the intensive care units at the American University of Beirut Medical Center between August 1st 2015 and March 1st 2019 were included. Demographic, clinical, and laboratory data were prospectively collected from the first day of ICU admission up to 30 days after discharge. This study was strictly observational, and clinical decisions were left to the discretion of the ICU team and attending physician.

RESULTS

272 patients were enrolled in the study between August 1st 2015 and March 1st 2019, with an ICU mortality rate of 43.4%, with the number rising to 59% within 30 days of ICU discharge. The mean length of stay in our ICU was 14 days (IQR: 1-120) with a median overall survival of 22 days since the date of ICU admission. The major reasons for unplanned ICU admission were sepsis/septic shock (54%) and respiratory failure (33.1%). Cox regression analysis revealed 7 major predictors of poor prognosis. Direct admission from the ED was associated with a higher risk of mortality (48.9%) than being transferred from the floor (32.6%) (p=0.014).

CONCLUSION

Our study has shown that being directly admitted to the ICU from the ED rather than being transferred from regular wards, developing AKI, sepsis, MOF, and ARDS, or having an uncontrolled malignancy are all predictive factors for short-term mortality in critically ill cancer patients nonelectively admitted to the ICU. Vasopressor use and mechanical ventilation were also predictors of mortality.

Predictors of intensive care unit admission in patients with hematologic malignancy

Limited data exist on predictors of intensive care unit (ICU) admission in patients with hematologic malignancy. The objective of this study was to identify predictors of ICU admission in hospitalized patients with hematologic malignancies. A retrospective cohort study was conducted on 820 consecutive admissions of patients with a malignant hematology diagnosis at our institution between March 2009 and December 2015. Backward stepwise selection procedure was conducted for multivariable logistic regression analyses. 820 patients were included, of whom 179 (22%) were admitted to the ICU. Types of hematologic cancers included 71% (N = 578) lymphoid cancer, 18% (N = 151) myeloid cancer, and 10% (N = 80) plasma cell neoplasms. 14% (N = 111) of patients had acute leukemia. Six predictors of admission to ICU were found in multivariable analysis, including disease-related (acute leukemia, curative intent chemotherapy), laboratory-related (platelet count < 50 × 109/L, albumin below normal, LDH above normal at time of admission), and physician-related factors (having advanced directives discussion) (p < 0.0001). A significant proportion of patients with hematologic malignancies admitted to hospital are admitted to ICU. Utilizing the identified predictors of ICU admission may help guide timely informed goals of care discussions with patients before clinical deterioration occurs.

One-year mortality among non-surgical patients with hematological malignancies admitted to the intensive care unit: a Danish nationwide population-based cohort study

PURPOSE

Contemporary data on mortality of hematological patients admitted to the intensive care unit (ICU) are missing. In a Danish nationwide set-up, we assessed 30-day and 1-year mortality in this population including impact of age and comorbidity, with non-hematological patients as reference.

METHODS

This population-based cohort study included all non-surgical patients > 15 years of age admitted to an ICU in Denmark between 2010 and 2015. Data on hematological malignancies were obtained from the Danish Hematological Database, and information on the Charlson Comorbidity Index was obtained from the Danish National Patient Registry. Thirty-day and 1-year mortality was estimated using the Kaplan-Meier method. We used Cox proportional hazards regression to estimate hazard ratios.

RESULTS

We included 2122 ICU patients with a hematological malignancy and 88,951 non-hematological ICU patients. The 30-day mortality was 44% (95% confidence interval: 42-47%) among hematological patients and 27% (27-27%) among non-hematological patients. Similarly, 1-year mortality was 66% (64-68%) and 37% (37-37%), respectively. The corresponding hazard ratio with adjustment for age, sex, and comorbidity was 1.62 (1.54-1.71). Excess mortality was observed in all subgroups of age or of comorbidity. For example, the 1-year mortality for patients with Charlson Comorbidity Index Score > 3: 70% (66-74%) among hematological patients and 62% (61-63%) among non-hematological patients.

CONCLUSION

ICU patients with hematological malignancy had higher mortality than other ICU patients. However, one third of critically ill patients with a hematological malignancy is alive 1 year after ICU admission.

Predictors of mortality among patients with acute leukemias admitted to an intensive care unit specialized in patients with hematological disease at a Brazilian hospital

INTRODUCTION

Hematologists deal every day with high mortality rates of acute leukemia patients. Many times these patients need Intensive Care Unit (ICU) support and some general ICU teams believe that these patients have a much greater chance of dying than patients with other pathologies. In Brazil, data related to mortality rates and ICUs for acute leukemia patients are scarce.

METHODS

Therefore, to assess mortality predictors in patients with acute leukemia admitted to a specialized hematological ICU, we evaluated demographics, supportive care, hospitalization time, disease status, admitting diagnosis, neutropenia, number of transfusions and Acute Physiology and Chronic Health Evaluation (APACHE)/Sepsis Related Organ Failure Assessment (SOFA) scores as possible factors associated with mortality. Data were extracted from the first admission records of 110 patients with acute leukemia admitted to the Hemocentro de Pernambuco (Hemope) ICU between 2006 and 2009.

RESULTS

In this retrospective cohort study, 72/110 of the patients were men, and 64/110 were from the metropolitan area of Recife. The patients' age median was 43.5 years (±17.9); 67.3% had acute myeloid leukemia (AML) and 32.7% had acute lymphoid leukemia. The main admitting diagnosis in the ICU was sepsis (66.7%). The mean APACHE II score was 18.3. Of the total, 65 (59%) died, and the mortality rate was independently related to longer hospitalization (p<0.001), the increase in the APACHE II score (p<0.038) and having received hemodialysis (p<0.006). Neutropenia, receiving multiple transfusions and using any kind of mechanical ventilation or vasoactive drug on admission were not relevant to mortality. Factors associated with higher mortality rates were: longer hospitalization, increase in the APACHE II score, and use of hemodialysis.

CONCLUSION

With these data, to prevent organ lesions before admission to the ICU, a better strategy might be to reduce mortality for leukemia patients.

Clinical characteristics and treatment outcomes of pulmonary invasive fungal infection among adult patients with hematological malignancy in a medical centre in Taiwan, 2008-2013

BACKGROUND/PURPOSE

This study was aimed to investigate clinical characteristics and treatment outcomes of pulmonary invasive fungal infection (IFI) among patients with hematological malignancy.

METHODS

All patients with hematological malignancy who were treated at a medical centre from 2008 to 2013 were evaluated. Pulmonary IFI was classified according to the European Organization for Research and Treatment of Cancer 2008 consensus.

RESULTS

During the study period, 236 (11.3%) of 2083 patients with hematological malignancy were diagnosed as pulmonary IFI, including 41 (17.4%) proven, 75 (31.8%) probable, and 120 (50.8%) possible cases. Among the 116 patients of proven and probable cases of pulmonary IFI, aspergillosis alone (n = 90, 77.6%) was predominant, followed by cryptococcosis alone (n = 9, 7.8%), and mucormycosis (n = 4, 3.4%). The overall incidence of patients with pulmonary IFI was 5.9 per 100 patient-years. The highest incidence (per 100 patient-year) was found in patients with acute myeloid leukaemia (13.7) followed by acute lymphoblastic leukaemia (11.3), and myelodysplastic syndrome/severe aplastic anaemia (6.7). Fourteen (5.9%) of the 236 patients with pulmonary IFI died within 12 weeks after diagnosis of pulmonary IFI. Univariate analysis revealed that elderly age (>65 years) (P = 0.034), lack of response to anti-fungal treatment (P < 0.001), and admission to the intensive care unit (ICU) (P < 0.001) were predictors of poor prognosis. However, only admission to the ICU was an independent predictor of poor prognosis for 12-week mortality (P = 0.022) based on multivariate analysis.

CONCLUSION

Patients with acute leukaemia and myelodysplastic syndrome/severe aplastic anaemia were at high risk of pulmonary IFI.

Prognostic factors in critically ill patients with hematological malignancy admitted to the general intensive care unit: a single-center experience in Japan

PURPOSE

This study aims to identify prognostic factors related to short-term and long-term outcomes of patients with hematological malignancy (HM) admitted to the intensive care unit (ICU) in Japan during ICU stay and after discharge from ICU.

METHODS

We conducted a retrospective, observational study of 169 patients with HM admitted to the general ICU from January 2009 to December 2016. We examined prognostic factors affecting outcome during ICU stay and at 180 days after ICU discharge using logistic regression analysis.

RESULTS

During ICU stay, 57 patients (33.7%) died. Invasive mechanical ventilation (OR 8.96, 95% CI 3.67-21.9; P < 0.001, the same hereinafter), the Sequential Organ Failure Assessment (SOFA) score within the first 24 h of ICU admission (1.25, 1.11-1.40; P < 0.001), and malignant lymphoma (0.30, 0.11-0.78; P = 0.014) were detected as factors associated with ICU outcome. Of 112 ICU survivors, 46 (41.1%) died within 180 days after ICU discharge. Duration of ICU stay (1.07, 1.01-1.13; P = 0.027) and the SOFA score at ICU discharge (1.24, 1.04-1.48; P = 0.016) were related to poor outcome at 180 days after ICU discharge.

CONCLUSIONS

In critically ill patients with HM, the use of invasive mechanical ventilation, a high SOFA score within the first 24 h of ICU admission, and malignant lymphoma as primary HM affected short-term ICU outcome. Increased duration of ICU stay and SOFA score at ICU discharge influenced long-term outcome at 180 days after ICU discharge.

The prognostic value of a trend in modified SOFA score for patients with hematological malignancies in the intensive care unit

BACKGROUND

Patients with hematological malignancies admitted to an intensive care unit (ICU) have a poor prognosis. The Sequential Organ Failure Assessment (SOFA) score is used to monitor patients on the ICU. Little is known about the value of this score in hematology patients. Therefore, the prognostic value of the SOFA score and a modified hematological SOFA score (SOFAhem) was studied.

METHODS

Patients with hematological malignancies admitted to the ICU between 1999 and 2009 were analyzed in a retrospective cohort study. The SOFAhem score was defined as the original SOFA score omitting the coagulation and neurological parameters.

RESULTS

In 149 admissions, ICU mortality was 52%. Mortality was significantly associated with higher SOFA and SOFAhem scores on admission, and trend in SOFAhem scores. An unchanged and increased SOFAhem score compared to decreasing SOFAhem scores was associated with a higher mortality rate (53% resp 67% resp 25%).

CONCLUSIONS

Trends in SOFA or SOFAhem score are both suitable as prognostic parameter. The trend in SOFAhem score seems to be independently related to mortality in hematological patients admitted to the ICU, and because of the higher odds ratios and lower P-values compared to the SOFA score, it is probably stronger related to mortality than the classical score, but its prognostic value should be tested in a larger cohort.

Two Decades of ICU Utilization and Hospital Outcomes in a Comprehensive Cancer Center

OBJECTIVE

To investigate ICU utilization and hospital outcomes of oncological patients admitted to a comprehensive cancer center.

DESIGN

Observational cohort study.

SETTING

The University of Texas MD Anderson Cancer Center.

PATIENTS

Consecutive adults with cancer discharged over a 20-year period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The Cochran-Armitage test for trend was used to evaluate ICU utilization and hospital mortality rates by primary service over time. A negative binomial log linear regression model was fitted to the data to investigate length of stay over time. Among 387,306 adult hospitalized patients, the ICU utilization rate was 12.9%. The overall hospital mortality rate was 3.6%: 16.2% among patients with an ICU stay and 1.8% among non-ICU patients. Among those admitted to the ICU, the mean (SD) admission Sequential Organ Failure Assessment score was 6.1 (3.8) for all ICU patients: 7.3 (4.4) for medical ICU patients and 4.9 (2.8) for surgical ICU patients. Hematologic disorders were associated with the highest hospital mortality rate in ICU patients (42.8%); metastatic disease had the highest mortality rate in non-ICU patients (4.2%); sepsis, pneumonia, and other infections had the highest mortality rate for all inpatients (8.5%).

CONCLUSIONS

This study provides a longitudinal view of ICU utilization rates, hospital and ICU length of stay, and severity-adjusted mortality rates. Although the data arise from a single institution, it encompasses a large number of hospital admissions over two decades and can serve as a point of comparison for future oncological studies at similar institutions. More studies of this nature are needed to determine whether consolidation of cancer care into specialized large-volume facilities may improve outcomes, while simultaneously sustaining appropriate resource utilization and reducing unnecessary healthcare costs.