Critically ill cancer patients in the intensive care unit: short-term outcome and 1-year mortality

Analysis of physical function, muscle strength, and pulmonary function in surgical cancer patients: a prospective cohort study

The aim of this study was to investigate mobility, physical functioning, peripheral muscle strength, inspiratory muscle strength and pulmonary function in surgical cancer patients admitted to an intensive care unit (ICU). We conducted a prospective cohort study with 85 patients. Mobility, physical functioning, peripheral muscle strength, inspiratory muscle strength, and pulmonary function were assessed using the following tests: ICU Mobility Scale (IMS); Chelsea Critical Care Physical Assessment (CPAx); handgrip strength and Medical Research Council Sum-Score (MRC-SS); maximal inspiratory pressure (MIP) and S-Index; and peak inspiratory flow, respectively. The assessments were undertaken at ICU admission and discharge. The data were analyzed using the Shapiro-Wilk and Wilcoxon tests and Spearman's correlation coefficient. Significant differences in inspiratory muscle strength, CPAx, grip strength, MRC-SS, MIP, S-Index, and peak inspiratory flow scores were observed between ICU admission and discharge. Grip strength showed a moderate correlation with MIP at admission and discharge. The findings also show a moderate correlation between S-Index scores and both MIP and peak inspiratory flow scores at admission and a strong correlation at discharge. Patients showed a gradual improvement in mobility, physical functioning, peripheral and inspiratory muscle strength, and inspiratory flow during their stay in the ICU.

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.

Assessment of mortality and performance status in critically ill cancer patients: A retrospective cohort study

INTRODUCTION

Given clinicians' frequent concerns about unfavourable outcomes, Intensive Care Unit (ICU) triage decisions in acutely ill cancer patients can be difficult, as clinicians may have doubts about the appropriateness of an ICU admission. To aid to this decision making, we studied the survival and performance status of cancer patients 2 years following an unplanned ICU admission.

MATERIALS AND METHODS

This was a retrospective cohort study in a large tertiary referral university hospital in the Netherlands. We categorized all adult patients with an unplanned ICU admission in 2017 into two groups: patients with or without an active malignancy. Descriptive statistics, Pearson's Chi-square tests and the Mann-Whitney U tests were used to evaluate the primary objective 2-year mortality and performance status. A good performance status was defined as ECOG performance status 0 (fully active) or 1 (restricted in physically strenuous activity but ambulatory and able to carry out light work). A multivariable binary logistic regression analysis was used to identify factors associated with 2-year mortality within cancer patients.

RESULTS

Of the 1046 unplanned ICU admissions, 125 (12%) patients had cancer. The 2-year mortality in patients with cancer was significantly higher than in patients without cancer (72% and 42.5%, P <0.001). The median performance status at 2 years in cancer patients was 1 (IQR 0-2). Only an ECOG performance status of 2 (OR 8.94; 95% CI 1.21-65.89) was independently associated with 2-year mortality.

CONCLUSIONS

In our study, the majority of the survivors have a good performance status 2 years after ICU admission. However, at that point, three-quarter of these cancer patients had died, and mortality in cancer patients was significantly higher than in patients without cancer. ICU admission decisions in acutely ill cancer patients should be based on performance status, severity of illness and long-term prognosis, and this should be communicated in the shared decision making. An ICU admission decision should not solely be based on the presence of a malignancy.

Changes in critically ill cancer patients' short-term outcome over the last decades: results of systematic review with meta-analysis on individual data

PURPOSE

The number of averted deaths due to therapeutic advances in oncology and hematology is substantial and increasing. Survival of critically ill cancer patients has also improved during the last 2 decades. However, these data stem predominantly from unadjusted analyses. The aim of this study was to assess the impact of ICU admission year on short-term survival of critically ill cancer patients, with special attention on those with neutropenia.

METHODS

Systematic review and meta-analysis of individual data according to the guidelines of meta-analysis of observational studies in epidemiology.

DATASOURCE

Pubmed and Cochrane databases.

ELIGIBILITY CRITERIA

Adult studies published in English between May 2005 and May 2015.

RESULTS

Overall, 7354 patients were included among whom 1666 presented with neutropenia at ICU admission. Median ICU admission year was 2007 (IQR 2004-2010; range 1994-2012) and median number of admissions per year was 693 (IQR 450-1007). Overall mortality was 47.7%. ICU admission year was associated with a progressive decrease in hospital mortality (OR per year 0.94; 95% CI 0.93-0.95). After adjustment for confounders, year of ICU admission was independently associated with hospital mortality (OR for hospital mortality per year: 0.96; 95% CI 0.95-0.97). The association was also seen in patients with neutropenia but not in allogeneic stem cell transplant recipients.

CONCLUSION

After adjustment for patient characteristics, severity of illness and clustering, hospital mortality decreased steadily over time in critically ill oncology and hematology patients except for allogeneic stem cell transplant recipients.

Acute Respiratory Failure in the Oncologic Patient: New Era, New Issues

Recent decades have seen an increase in the number of patients living with cancer. This trend has resulted in an increase in intensive care unit (ICU) utilization across this population [1]. Acute respiratory failure is the most frequent medical complication leading to critical illness in oncologic patients [2–4]. Historically, there had been a reluctance to admit cancer patients to the ICU given their poor outcomes, particularly in the setting of hematologic malignancy and invasive mechanical ventilation [5]. ICU treatment limitations or refusal of admission was advocated [6]. Major advances in oncologic care, critical care and more meticulous attention to where the conditions overlap, have resulted in marked improvement in short-term survival in this population [1, 7, 8]. Despite these major advances, acute respiratory failure in this population remains complex with unique challenges surrounding diagnosis and management compared to the general ICU population. This chapter provides a comprehensive overview of acute respiratory failure in the oncologic population and highlights specific considerations for the intensivist. We will focus on the important differences between the immunocompromised oncologic patient and general intensive care population, the spectrum of causes of acute respiratory failure with a specific focus on toxicities related to newer cancer therapies, diagnostic approach, management and an up-to-date overview of prognosis.

Influence of neutropenia on mortality of critically ill cancer patients: results of a meta-analysis on individual data

Background

The study objective was to assess the influence of neutropenia on outcome of critically ill cancer patients by meta-analysis of individual data. Secondary objectives were to assess the influence of neutropenia on outcome of critically ill patients in prespecified subgroups (according to underlying tumor, period of admission, need for mechanical ventilation and use of granulocyte colony stimulating factor (G-CSF)).

Methods

Data sources were PubMed and the Cochrane database. Study selection included articles focusing on critically ill cancer patients published in English and studies in humans from May 2005 to May 2015. For study selection, the study eligibility was assessed by two investigators. Individual data from selected studies were obtained from corresponding authors.

Results

Overall, 114 studies were identified and authors of 30 studies (26.3% of selected studies) agreed to participate in this study. Of the 7515 included patients, three were excluded due to a missing major variable (neutropenia or mortality) leading to analysis of 7512 patients, including 1702 neutropenic patients (22.6%). After adjustment for confounders, and taking study effect into account, neutropenia was independently associated with mortality (OR 1.41; 95% CI 1.23–1.62; P = 0.03). When analyzed separately, neither admission period, underlying malignancy nor need for mechanical ventilation modified the prognostic influence of neutropenia on outcome. However, among patients for whom data on G-CSF administration were available (n = 1949; 25.9%), neutropenia was no longer associated with outcome in patients receiving G-CSF (OR 1.03; 95% CI 0.70–1.51; P = 0.90).

Conclusion

Among 7512 critically ill cancer patients included in this systematic review, neutropenia was independently associated with poor outcome despite a meaningful survival. Neutropenia was no longer significantly associated with outcome in patients treated by G-CSF, which may suggest a beneficial effect of G-CSF in neutropenic critically ill cancer patients.

Systematic review registration

PROSPERO CRD42015026347. Date of registration: Sept 18 2015

Electronic supplementary material

The online version of this article (10.1186/s13054-018-2076-z) contains supplementary material, which is available to authorized users.

Factors Associated with Mortality in Patients with a Solid Malignancy Admitted to the Intensive Care Unit - A Prospective Observational Study

Purpose

Several studies show conflicting results regarding the prognosis and predictors of the outcome of critically ill patients with a solid malignancy. This study aims to determine the outcome of critically ill patients, admitted to a hospital, with a solid malignancy and the factors associated with the outcomes.

Methods and Materials

All patients with a solid malignancy admitted to an intensive care unit (ICU) at a tertiary academic medical center were enrolled. Clinical data upon admission and during ICU stay were collected. Hospital, ICU, and six months outcomes were documented.

Results

There were 252 patients with a solid malignancy during the study period. Urogenital malignancies were the most common (26.3%) followed by lung cancer (23.5%). Acute respiratory failure was the most common ICU diagnosis (51.6%) followed by sepsis in 46%. ICU mortality and hospital mortality were 21.8% and 34.3%. Six months mortality was 38.4%. Using multivariate analysis, acute kidney injury, OR 2.82, 95% CI 1.50-5.32 and P=0.001, use of mechanical ventilation, OR 2.67 95% CI 1.37 - 5.19 and P=0.004 and performance status of ≥2 with OR of 3.05, 95% CI of 1.5-6.2 and P= 0.002 were associated with hospital mortality. There were no differences in outcome between African American patients (53% of all patients) and other races.

Conclusion

This study reports encouraging survival rates in patients with a solid malignancy who are admitted to ICU. Patients with a poor baseline performance status require mechanical ventilation or develop acute renal failure have worse outcomes.

Palliative Care Communication in the ICU: Implications for an Oncology-Critical Care Nursing Partnership

OBJECTIVES

To describe the development, launch, implementation, and outcomes of a unique multisite collaborative (ie, IMPACT-ICU [Integrating Multidisciplinary Palliative Care into the ICU]) to teach ICU nurses communication skills specific to palliative care. To identify options for collaboration between oncology and critical care nurses when integrating palliation into nursing care planning.

DATA SOURCES

Published literature and collective experiences of the authors in the provision of onco-critical-palliative care.

CONCLUSION

While critical care nurses were the initial focus of education, oncology, telemetry, step-down, and medical-surgical nurses within five university medical centers subsequently participated in this learning collaborative. Participants reported enhanced confidence in communicating with patients, families, and physicians, offering emotional support and involvement in family meetings.

IMPLICATIONS FOR NURSING PRACTICE

Communication education is a vital yet missing element of undergraduate nursing education. Programs should be offered in the work setting to address this gap in needed nurse competency, particularly within the context of onco-critical-palliative care.

Predictors of ICU Admission in Patients With Cancer and the Related Characteristics and Outcomes: A 5-Year Registry-Based Study

OBJECTIVE

To identify factors predictive of admission of patients with cancer to an ICU. In addition, the study aimed to describe the characteristics and outcomes, both short-term and long-term, of patients with cancer admitted to the ICU.

DESIGN

Retrospective case-control study, utilizing the institution's cancer registry.

SETTING

Comprehensive cancer center.

PATIENTS

Patients with cancer. The case group consisted of patients who required ICU admission during the study period, whereas the control group consisted of patients who did not require ICU admission.

INTERVENTION

None.

MEASUREMENTS AND MAIN RESULTS

The patient characteristics and outcomes were recorded. Univariate and multivariate analyses were conducted to determine factors associated with ICU admission. The registry included 10,792 patients, and among those, 2,439 patients (22.6%) required ICU admission after a median of 10.1 months (interquartile range, 3.28-25.2). The following factors were associated with ICU admission: hematologic malignancy (odds ratio, 1.51; 95% CI, 1.26-1.81), chemotherapy (odds ratio, 1.74; 95% CI, 1.48-2.03), advanced cancer (odds ratio, 2.57; 95% CI, 1.44-4.60), and smoking (odds ratio, 1.38; 95% CI, 1.20-1.61). The most common ICU admission diagnoses were sepsis (21.5%) and respiratory insufficiency/failure (25.7%). The ICU mortality was 36.5%, whereas the 1-year and 5-year survival rates were 22.8% and 14.2%, respectively.

CONCLUSION

In a comprehensive cancer center, about one fourth of the patients required ICU admission. Addressing modifiable risk factors associated with ICU admission is essential to potentially reduce ICU admissions and improve long-term survival.

Intensive care unit prognostic factors in critically ill patients with advanced solid tumors: a 3-year retrospective study

Background

The objective of this study was to identify risk factors predicting prognosis of critically ill medical patients with advanced solid tumors in the intensive care unit (ICU).

Methods

We retrospectively analyzed all ICU unplanned medical admissions to the ICU of patients with advanced solid cancer in Tianjin Medical University Cancer Institute and Hospital between October 1, 2012 and March 1, 2015. Approval was obtained from the Ethical Commission of Tianjin Medical University Cancer Institute and Hospital to review and publish information from patients’ records.

Results

One hundred and forty-one patients with full code status met the criteria for inclusion from among 813 ICU admissions. ICU mortality was 14.9 % and in-hospital mortality was 29.8 %. The major reasons for unplanned ICU admission were respiratory failure (38.3 %) and severe sepsis or septic shock (27.7 %). The ICU mortality in patients who required vasopressors, mechanical ventilation or renal replacement therapy for >24 h was 25, 25.9 and 40 %, respectively. The mean overall survival was 28.6 months. After adjusting for hypertension, type of solid cancer, intervention time, need for mechanical ventilation and Acute Physiology and Chronic Health Evaluation II score, only Sepsis-related Organ Failure Assessment (SOFA) score on day 7 of ICU treatment remained a significant predictor of ICU mortality (adjusted odds ratio 1.612, 95 % confidence interval 1.137–2.285, P = 0.007).

Conclusions

We suggest broadening the criteria for ICU admission. The patients should be allowed an ICU trial consisting of unlimited ICU support, including invasive hemodynamic monitoring, mechanical ventilation and renal replacement therapy. An interdisciplinary meeting, including an ethics consultation, should be held to make end-of-life decisions if the SOFA score on day 7 shows clinical deterioration with no available therapeutic options.

Long-term treated intensive care patients outcomes: the one-year mortality rate, quality of life, health care use and long-term complications as reported by general practitioners

BACKGROUND

The purpose of this study was to determine the one-year mortality rate and its predictors regarding long-term intensive care-treated patients together with their health-related quality of life (HRQL), place of living, healthcare use and long-term complication characteristics after intensive care unit (ICU) discharge.

METHODS

A retrospective cohort study was performed in a 20-bed mixed ICU. The patients that were treated for more than 72 h between 2007 and 2012 were included in this study. The one-year mortality rate was calculated, and the characteristics of the ICU survivors that died within one year after ICU discharge were further analysed. For all patients, the Dutch version of the SF-36 questionnaire was used to assess their current HRQL. The results were compared with a normal population. Additionally, patients were questioned about their place of living, and their general practitioners (GPs) were questioned about the patients' possible long-term complications.

RESULTS

Seven hundred and forty patients were included in this study, and their one-year mortality rate was 28 %, of which half died within the first week after ICU discharge. The one-year mortality rate predictors included age at the time of ICU admission, APACHE IV-predicted mortality score, number of comorbidities and ICU re-admissions. The ICU survivor HRQL was significantly lower compared with the normal population. Half of the patients did not return to their pre-hospital place of living, and numerous possible long-term complications were reported, particularly decreased tolerance, chronic fatigue and processing problems of relatives.

CONCLUSIONS

One-year mortality rate of long-term ICU-treated patient was 28 %, and this was predicted by age, disease severity, comorbidities and ICU re-admissions. The ICU survivors reported a lower HRQL, and a minority of these patients returned home directly after hospital discharge; however, GPs reported numerous possible long-term complications.

Postoperative sepsis in cancer patients undergoing major elective digestive surgery is associated with increased long-term mortality

BACKGROUND

Major postoperative events (acute respiratory failure, sepsis, and surgical complications) are frequent early after elective gastroesophageal and pancreatic surgery. It is unclear whether these complications impact equally on long-term outcome.

METHODS

Prospective observational study including the patients admitted to the surgical intensive care unit between January 2009 and October 2011 after elective gastroesophageal and pancreatic surgery. Risk factors for 30-day major postoperative events and long-term outcome were evaluated.

RESULTS

During the study period, 259 patients were consecutively included. Among them, 166 (64%), 54 (21%), and 39 (15%) patients underwent pancreatic surgery, gastric surgery, and esophageal surgery, respectively. Using the Clavien-Dindo classification, 117 patients (45%) developed at least 1 postoperative complication, including 60 (23%) patients with acute respiratory failure, 77 (30%) with sepsis, and 89 (34%) with surgical complications. The median follow-up from the time of intensive care unit admission was 34 months (95% confidence interval, 30-37 months). The 1-year survival was 95% (95% confidence interval, 92-98). Among the perioperative variables, postoperative sepsis and an American Society of Anesthesiologists score higher than 2 were independently associated with long-term mortality. In septic patients, death (n = 16) was significantly associated with cancer recurrence (n = 10; P < .0001). Independent factors associated with postoperative sepsis were a Sequential Organ Failure Assessment score on day 1, a systemic inflammatory response syndrome on day 3, positive intraoperative microbiological samples, Simplified Acute Physiology Score II and an American Society of Anesthesiologists score higher than 2 (P < .005).

CONCLUSIONS

Postoperative sepsis was the only major postoperative event associated with long-term mortality. Postoperative sepsis may reflect a deep impairment of immune response, which is potentially associated with cancer recurrence and mortality.

Effect of Early Intervention on Long-Term Outcomes of Critically Ill Cancer Patients Admitted to ICUs

OBJECTIVES

The objective of this observational study was to evaluate whether early intervention was associated with improved long-term outcomes in critically ill patients with cancer.

DESIGN

Retrospective analysis with prospectively collected data.

SETTING

A university-affiliated, tertiary referral hospital.

PATIENTS

Consecutive critically ill cancer patients who were managed by a medical emergency team before ICU admission between January 2010 and December 2012.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

During the study period, 525 critically ill cancer patients were admitted to the ICU with respiratory failure (41.7%) and severe sepsis or septic shock (40.6%) following medical intervention by a medical emergency team. Of 356 ICU survivors, 161 (45.2%) received additional treatment for cancer after ICU discharge. Mortality was 66.1% at 6 months and 72.8% at 1 year. Median time from physiological derangement to intervention before ICU admission was significantly shorter in 1-year survivors (1.3 hr; interquartile range, 0.5-4.8 hr) than it was in nonsurvivors (2.9 hr; interquartile range, 0.8-9.6 hr) (p< 0.001). Additionally, the early intervention (≤ 1.5 hr) group had a lower 30-day mortality rate than the late intervention (> 1.5 hr) group (29.0% vs 55.3%; p < 0.001) and a similar difference in mortality rate was observed up to 1 year. Other factors associated with 1-year mortality were illness severity, performance status, malignancy status, presence of more than three abnormal physiological variables, time from derangement to ICU admission, and the need for mechanical ventilation. Even after adjusting for potential confounding factors, early intervention was significantly associated with 1-year mortality (adjusted hazard ratio, 0.456; 95% CI, 0.348-0.597; p < 0.001).

CONCLUSION

Early intervention for clinical derangement on general wards was significantly associated with long-term outcomes in critically ill cancer patients.

Survival in solid cancer patients following intensive care unit admission

PURPOSE

One in seven patients admitted to intensive care units (ICU) has a cancer diagnosis but evidence on their expected outcomes after admission has not been synthesised.

METHODS

Systematic literature review of solid cancer adult patients admitted to ICU from 2000 onwards using EMBASE and MEDLINE electronic databases.

RESULTS

There were 48 papers identified that reported survival in ICU patients with solid cancers. ICU mortality was reported in 35 studies comprising a total sample of 25,339 patients and ranging from 4.5 to 85 %. The average mortality of the distribution of reported mortality rates within ICU was 31.2 % (95 % CI 24.0-39.0 %). Hospital mortality was reported in 31 studies across a total sample of 74,061 patients. The average hospital mortality was 38.2 % (33.8-42.7 %) and ranged from 4.6 to 76.8 %. Poorer physiological score, invasive mechanical ventilation and poor functional status were associated with higher mortality.

CONCLUSIONS

Several factors have been associated with poor survival in ICU cancer patients; however, primary research is still needed to describe outcomes in cancer patients with sufficient case mix and treatment details to be of prognostic value to clinicians.

Prognostic factors in critically ill cancer patients admitted to the intensive care unit

OBJECTIVE

The objective of this study is to identify factors predicting intensive care unit (ICU) mortality in cancer patients admitted to a medical ICU.

PATIENTS AND METHODS

We conducted a retrospective study in 162 consecutive cancer patients admitted to the medical ICU of a 1000-bed university hospital between January 2009 and June 2012. Medical history, physical and laboratory findings on admission, and therapeutic interventions during ICU stay were recorded. The study end point was ICU mortality. Logistic regression analysis was performed to identify independent risk factors for ICU mortality.

RESULTS

The study cohort consisted of 104 (64.2%) patients with solid tumors and 58 patients (35.8%) with hematological malignancies. The major causes of ICU admission were sepsis/septic shock (66.7%) and respiratory failure (63.6%), respectively. Overall ICU mortality rate was 55 % (n=89). The ICU mortality rates were similar in patients with hematological malignancies and solid tumors (57% vs 53.8%; P=.744). Four variables were independent predictors for ICU mortality in cancer patients: the remission status of the underlying cancer on ICU admission (odds ratio [OR], 0.113; 95% confidence interval [CI], 0.027-0.48; P=.003), Acute Physiology and Chronic Health Evaluation II score (OR, 1.12; 95% CI, 1.032-1.215; P=.007), sepsis/septic shock during ICU stay (OR, 8.94; 95% CI, 2.28-35; P=.002), and vasopressor requirement (OR 16.84; 95% CI, 3.98-71.24; P=.0001). Although Acute Physiology and Chronic Health Evaluation II score (OR, 1.30; 95% CI, 1.054-1.61; P=.014), admission through emergency service (OR, 0.005; 95% CI, 0.00-0.69; P=.035), and vasopressor requirement during ICU stay (OR, 140.64; 95% CI, 3.59-5505.5; P=.008) were independent predictors for ICU mortality in patients with hematological malignancies, Sequential Organ Failure Assessment score (OR, 1.83; 95% CI, 1.29-2.6; P=.001), lactate dehydrogenase level on admission (OR, 1.002; 95% CI, 1-1.005; P=.028), sepsis/septic shock during ICU stay (OR, 138.4; 95% CI, 12.54-1528.4; P=.0001), and complete or partial remission of the underlying cancer (OR, 0.026; 95% CI, 0.002-0.3; P=.004) were the independent risk factors in patients with solid tumors.

CONCLUSION

Intensive care unit mortality rate was 55% in our cancer patients, which suggests that patients with cancer can benefit from ICU admission. We also found that ICU mortality rates of patients with hematological malignancies and solid tumors were similar.

Intensive care for the cancer patient - unique clinical and ethical challenges and outcome prediction in the critically ill cancer patient

With the rising number of cancer cases and increasing survival times, cancer patients with critical illness are increasingly presenting to the intensive care unit. This article considers the unique challenges they pose in terms of oncological-specific disease processes and treatment and reviews current trends in outcome prediction. We also consider the ethical standpoints surrounding the treatment of patients for whom there may be no cure and their subsequent transition to palliative care, should it become necessary.

Delayed intensive care unit admission is associated with increased mortality in patients with cancer with acute respiratory failure

Acute respiratory failure (ARF) is the leading reason for intensive care unit (ICU) admission in patients with cancer. The aim of this study was to identify early predictors of death in patients with cancer admitted to the ICU for ARF who were not intubated at admission. We conducted analysis of a prospective randomized controlled trial including 219 patients with cancer with ARF in which day-28 mortality was a secondary endpoint. Mortality at day 28 was 31.1%. By multivariate analysis, independent predictors of day-28 mortality were: age (odds ratio [OR] 1.30/10 years, 95% confidence interval [CI] [1.01-1.68], p = 0.04), more than one line of chemotherapy (OR 2.14, 95% CI [1.08-4.21], p = 0.03), time between respiratory symptoms onset and ICU admission > 2 days (OR 2.50, 95% CI [1.25-5.02], p = 0.01), oxygen flow at admission (OR 1.07/L, 95% CI [1.00-1.14], p = 0.04) and extra-respiratory symptoms (OR 2.84, 95%CI [1.30-6.21], p = 0.01). After adjustment for the logistic organ dysfunction (LOD) score at admission, only time between respiratory symptoms onset and ICU admission > 2 days and LOD score were independently associated with day-28 mortality. Determinants of death include both factors non-amenable to change, and delay in ARF management. These results suggest that early intensive care management of patients with cancer with ARF may translate to better survival.

Long-term outcomes and quality of life in critically ill patients with hematological or solid malignancies: a single center study

PURPOSE

Data concerning long-term outcomes and quality of life (QOL) in critically ill cancer patients are scarce. The aims of this study were to assess long-term outcomes and QOL in critically ill patients with hematological (HM) or solid malignancies (SM) 3 months and 1 year after intensive care unit (ICU) discharge, to compare these with QOL before ICU admission, and to identify prognostic indicators of long-term QOL.

METHODS

During a 1 year prospective observational cohort analysis, consecutive patients with HM or SM admitted to the medical or surgical ICU of a university hospital were screened for inclusion. Cancer data, demographics, co-morbidity, severity of illness, organ failures, and outcomes were collected. The QOL before ICU admission, 3 months, and 1 year after ICU discharge was assessed using standardized questionnaires (EuroQoL-5D, Medical Outcomes Study 36-item Short Form Health Survey). Statistical significance was attained at P < 0.05.

RESULTS

There were 483 patients (85 HM, 398 SM) (64% men) with a median age of 62 years included. Mortality rates of HM compared to SM were, respectively: hospital (34 vs. 13%), 3 months (42 vs. 17%), and 1 year (66 vs. 36%) (P < 0.001). QOL declined at 3 months, but improved at 1 year although it remained under baseline QOL, particularly in HM. Older age (P = 0.007), severe comorbidity (P = 0.035), and HM (P = 0.041) were independently associated with poorer QOL at 1 year.

CONCLUSIONS

Long-term outcomes and QOL were poor, particularly in HM. Long-term expectations should play a larger role during multidisciplinary triage decisions upon referral to the ICU.

Mortality of patients with cancer admitted to intensive care unit

Outcomes of critically ill cancer patients admitted to the intensive care unit (ICU) had improved; it could be associated with medical advances in critical care, introduction of new anticancer treatments, and better supportive care. Recent reports have described ICU mortality for critically ill cancer patients ranged from 15.9% to 32%. During the period 2007 to 2011, a total of 1418 critically ill cancer patients were admitted to our ICU with a mortality rate lower (17.5%) than that reported by other centers. The ICUs around the world should consider the improvement in the prognosis of critically ill cancer patients who require critical care and they should not be denied ICU admission only on the basis of a patient having cancer.