Characteristics and outcomes of patients with cancer requiring admission to intensive care units: A prospective multicenter study*:

Long-Term Survival, Quality of Life, and Quality-Adjusted Survival in Critically Ill Patients With Cancer

OBJECTIVES

To assess the long-term survival, health-related quality of life, and quality-adjusted life years of cancer patients admitted to ICUs.

DESIGN

Prospective cohort.

SETTING

Two cancer specialized ICUs in Brazil.

PATIENTS

A total of 792 participants.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The health-related quality of life before ICU admission; at 15 days; and at 3, 6, 12, and 18 months was assessed with the EQ-5D-3L. In addition, the vital status was assessed at 24 months. The mean age of the subjects was 61.6 ± 14.3 years, 42.5% were female subjects and half were admitted after elective surgery. The mean Simplified Acute Physiology Score 3 was 47.4 ± 15.6. Survival at 12 and 18 months was 42.4% and 38.1%, respectively. The mean EQ-5D-3L utility measure before admission to the ICU was 0.47 ± 0.43, at 15 days it was 0.41 ± 0.44, at 90 days 0.56 ± 0.42, at 6 months 0.60 ± 0.41, at 12 months 0.67 ± 0.35, and at 18 months 0.67 ± 0.35. The probabilities for attaining 12 and 18 months of quality-adjusted survival were 30.1% and 19.1%, respectively. There were statistically significant differences in survival time and quality-adjusted life years according to all assessed baseline characteristics (ICU admission after elective surgery, emergency surgery, or medical admission; Simplified Acute Physiology Score 3; cancer extension; cancer status; previous surgery; previous chemotherapy; previous radiotherapy; performance status; and previous health-related quality of life). Only the previous health-related quality of life and performance status were associated with the health-related quality of life during the 18-month follow-up.

CONCLUSIONS

Long-term survival, health-related quality of life, and quality-adjusted life year expectancy of cancer patients admitted to the ICU are limited. Nevertheless, these clinical outcomes exhibit wide variability among patients and are associated with simple characteristics present at the time of ICU admission, which may help healthcare professionals estimate patients' prognoses.

Significant Clinical Factors Associated with Long-term Mortality in Critical Cancer Patients Requiring Prolonged Mechanical Ventilation

Studies about prognostic assessment in cancer patients requiring prolonged mechanical ventilation (PMV) for post-intensive care are scarce. We retrospectively enrolled 112 cancer patients requiring PMV support who were admitted to the respiratory care center (RCC), a specialized post-intensive care weaning facility, from November 2009 through September 2013. The weaning success rate was 44.6%, and mortality rates at hospital discharge and after 1 year were 43.8% and 76.9%, respectively. Multivariate logistic regression showed that weaning failure, in addition to underlying cancer status, was significantly associated with an increased 1-year mortality (odds ratio, 6.269; 95% confidence interval, 1.800–21.834; P = 0.004). Patients who had controlled non-hematologic cancers and successful weaning had the longest median survival, while those with other cancers who failed weaning had the worst. Patients with low maximal inspiratory pressure, anemia, and poor oxygenation at RCC admission had an increased risk of weaning failure. In conclusion, cancer status and weaning outcome were the most important determinants associated with long-term mortality in cancer patients requiring PMV. We suggest palliative care for those patients with clinical features associated with worse outcomes. It is unknown whether survival in this specific patient population could be improved by modifying the risk of weaning failure.

Intensive care in thoracic oncology

The admission of lung cancer patients to intensive care is related to postprocedural/postoperative care and medical complications due to cancer or its treatment, but is also related to acute organ failure not directly related to cancer.

Despite careful preoperative risk management and the use of modern surgical and anaesthetic techniques, thoracic surgery remains associated with high morbidity, related to the extent of resection and specific comorbidities. Fast-tracking processes with timely recognition and treatment of complications favourably influence patient outcome. Postoperative preventive and therapeutic management has to be carefully planned in order to reduce postoperative morbidity and mortality.

For patients with severe complications, intensive care unit (ICU) mortality rate ranges from 13% to 47%, and hospital mortality ranges from 24% to 65%. Common predictors of in-hospital mortality are severity scores, number of failing organs, general condition, respiratory distress and the need for mechanical ventilation or vasopressors. When considering long-term survival after discharge, cancer-related parameters retain their prognostic value.

Thoracic surgeons, anesthesiologists, pneumologists, intensivists and oncologists need to develop close and confident partnerships aimed at implementing evidence-based patient care, securing clinical pathways for patient management while promoting education, research and innovation. The final decision on admitting a patient with lung to the ICU should be taken in close partnership between this medical team and the patient and his or her relatives.

Outcomes in elderly patients admitted to the intensive care unit with solid tumors

Background

As the population ages and cancer therapies improve, there is an increased call for elderly cancer patients to be admitted to the intensive care unit (ICU). This study aimed to assess short-term survival and prognostic factors in critically ill patients with solid tumors aged ≥65 years.

Methods

We conducted a retrospective study. The primary endpoint was ICU mortality. Resumption of anticancer therapy in patients who survived the ICU stay and 90-day mortality were secondary endpoints. All patients aged ≥65 years admitted to the ICU of Georges Pompidou Hospital (Paris, France) between 2009 and 2014 were eligible.

Results

Of 2327 eligible elderly patients (EP), 262 (75.0 ± 6.7 years) with solid tumors were analyzed. These patients were extremely critically ill (SAPS 2 61.9 ± 22.5), and 60.3% had metastatic disease. Gastrointestinal, lung and genitourinary cancers were the most common types of tumors. Mechanical ventilation was required in 51.5% of patients, inotropes in 48.1% and dialysis in 12.6%. Most patients (66.7%) were admitted for reasons unrelated to cancer, including sepsis (30.5%), acute respiratory failure (28.2%) and neurological problems (8.0%). ICU mortality in patients with cancer was 33.6 versus 32.6% among patients without cancer (p = 0.75). Among the cancer EP, the 90-day mortality was 51.9% (n = 136). In multivariate analysis, increased SAPS 2 score and primary tumor site were associated with 90-day death, whereas previous anticancer therapies and poor performance status were not. Among survivor patients from ICU with anti-tumoral treatment indication, 77 (52.7%) had resumption of anticancer treatment.

Conclusions

Elderly solid tumor patients admitted to the ICU had a mortality rate similar to EP without cancer. Prognostic factors for 90-day mortality were more related to severity of clinical status at admission than the presence or stage of cancer, suggesting that early admission of EP with cancer to the ICU is appropriate.

Electronic supplementary material

The online version of this article (doi:10.1186/s13613-017-0250-0) contains supplementary material, which is available to authorized users.

Assessment of functional status in the ICU: instruments used in Brazilian settings

Abstract Introduction: Physical function impairment is a significant concern for patients who survive their intensive care unit (ICU) stay, due to its impact on the patient’s independence and functional status. In this context, the choice of a suitable instrument for the assessing functional status is important, because an inappropriate assessment could lead to incorrect conclusions regarding patient prognosis, treatment benefits, and condition. Objective: To identify which functional assessment tools are used in Brazil to assess patients who are in ICU. Additionally, we investigated the translation, adaptation, and validation of these instruments for use in this population. Methods: We searched Pubmed, SCIELO, Lilacs, and Scopus in November 2015. No language or date restrictions were applied to the search. Results: Ten studies and seven instruments were identified. The most commonly used instruments were the Karnofsky Performance Status Scale Scores and the Functional Independence Measure. Conclusion: The instruments found in the review were neither specifically developed to assess the functional status of ICU patients, nor were they validated for use in this population in Brazil. Transcultural development or adaptation studies should be conducted, followed by a validation process.

A gradient-boosted model analysis of the impact of body mass index on the short-term outcomes of critically ill medical patients

Objective

To evaluate the impact of body mass index on the short-term prognosis of non-surgical critically ill patients while controlling for performance status and comorbidities.

Methods

We performed a retrospective analysis on a two-year single-center database including 1943 patients. We evaluated the impact of body mass index on hospital mortality using a gradient-boosted model that also included comorbidities and was assessed by Charlson’s comorbidity index, performance status and illness severity, which was measured by the SAPS3 score. The SAPS3 score was adjusted to avoid including the same variable twice in the model. We also assessed the impact of body mass index on the length of stay in the hospital after intensive care unit admission using multiple linear regressions.

Results

A low value (< 20kg/m²) was associated with a sharp increase in hospital mortality. Mortality tended to subsequently decrease as body mass index increased, but the impact of a high body mass index in defining mortality was low. Mortality increased as the burden of comorbidities increased and as the performance status decreased. Body mass index interacted with the impact of SAPS3 on patient outcome, but there was no significant interaction between body mass index, performance status and comorbidities. There was no apparent association between body mass index and the length of stay at the hospital after intensive care unit admission.

Conclusion

Body mass index does appear to influence the shortterm outcomes of critically ill medical patients, who are generally underweight. This association was independent of comorbidities and performance status.

The prognostic factors for patients with hematological malignancies admitted to the intensive care unit

Owing to the nature of acute illness and adverse effects derived from intensive chemotherapy, patients with hematological malignancies (HM) who are admitted to the Intensive Care Unit (ICU) often present with poor prognosis. However, with advances in life-sustaining therapies and close collaborations between hematologists and intensive care specialists, the prognosis for these patients has improved substantially. Many studies from different countries have examined the prognostic factors of these critically ill HM patients. However, there has not been an up-to-date review on this subject, and very few studies have focused on the prognosis of patients with HM admitted to the ICU in Asian countries. Herein, we aim to explore the current situation and prognostic factors in patients with HM admitted to ICU, mainly focusing on studies published in the last 10 years.

Are Intensive Cares Worthwhile for Breast Cancer Patients: The Experience of an Oncological ICU

Purpose

One among seven women will present with breast cancer for which major therapeutic advances led to a significant increase in survival and cure rates. During or after cancer treatment, severe complications may occur requiring admission in intensive care unit (ICU). Intensivists could be reluctant for accepting cancer patients in the ICU, and there are very few data about causes of admission and prognosis of patients with breast cancer admitted in the ICU for an acute complication. Our study seeks to determine, in a population of patients with breast cancer, the main causes for ICU admission and the predictors of death during hospital stay and prognostic factors for survival after hospital discharge.

Methods

This retrospective study includes all unplanned ICU admissions of patients with breast cancer in a cancer hospital from January 1, 2009 to December 31, 2014. To search for predictive factors of death during hospitalization, Mann–Whitney or Fisher Exact (or chi-square) tests were used for continuous variables or categorical variables, respectively. A logistic regression model was applied for multivariate analysis. Multivariate analysis of prognostic factors for survival after hospital discharge was performed with a Cox’s proportional hazards model.

Results

Of 1586 ICU admissions during the study period, 282 (18%) concerned breast cancer of which 175 met the inclusion criteria. The main causes of admission were of cardiovascular (26%), respiratory (19%), neurologic (19%), or infectious (14%) origin. ICU death rate was 15% and, overall, 28% of the patients died during hospitalization. The median survival time after hospitalization was 12.8 months (95% CI: 8.2–20.7). Independent predictors of death during hospitalization were the sequential organ failure assessment (SOFA) score (OR 1.36, 95% CI 1.15–1.60), high GPT values (OR 3.70, 95% CI: 1.52–9.03), and cardiovascular disease (OR 0.23, 95% CI: 0.06–0.86). Independent predictors of death after hospital discharge were metastatic disease (HR 7.90, 95% CI 3.69–16.92), high GOT value (HR 3.22 95% CI: 1.93–5.36), simplified acute physiology score (SAPS) (HR 1.95 95% CI: 1.21–3.16), and therapeutic limitations during the first 24 h after ICU admission (HR 8.52 95% CI: 3.66–19.87).

Conclusion

Independent predictors of death during hospitalization were related to the acute complications (SOFA score, GPT level and cardiovascular-related admission) while cancer parameters retained their prognostic significance for survival after hospital discharge (metastatic disease, therapeutic limitations).

Critical care of patients with cancer

Answer questions and earn CME/CNE The increasing prevalence of patients living with cancer in conjunction with the rapid progress in cancer therapy will lead to a growing number of patients with cancer who will require intensive care treatment. Fortunately, the development of more effective oncologic therapies, advances in critical care, and improvements in patient selection have led to an increased survival of critically ill patients with cancer. As a consequence, critical care has become an important cornerstone in the continuum of modern cancer care. Although, in many aspects, critical care for patients with cancer does not differ from intensive care for other seriously ill patients, there are several challenging issues that are unique to this patient population and require special knowledge and skills. The optimal management of critically ill patients with cancer necessitates expertise in oncology, critical care, and palliative medicine. Cancer specialists therefore have to be familiar with key principles of intensive care for critically ill patients with cancer. This review provides an overview of the state-of-the-art in the individualized management of critically ill patients with cancer. CA Cancer J Clin 2016;66:496-517. © 2016 American Cancer Society.

Outcomes in Critically Ill Patients with Cancer-Related Complications

INTRODUCTION

Cancer patients are at risk for severe complications related to the underlying malignancy or its treatment and, therefore, usually require admission to intensive care units (ICU). Here, we evaluated the clinical characteristics and outcomes in this subgroup of patients.

MATERIALS AND METHODS

Secondary analysis of two prospective cohorts of cancer patients admitted to ICUs. We used multivariable logistic regression to identify variables associated with hospital mortality.

RESULTS

Out of 2,028 patients, 456 (23%) had cancer-related complications. Compared to those without cancer-related complications, they more frequently had worse performance status (PS) (57% vs 36% with PS≥2), active malignancy (95% vs 58%), need for vasopressors (45% vs 34%), mechanical ventilation (70% vs 51%) and dialysis (12% vs 8%) (P<0.001 for all analyses). ICU (47% vs. 27%) and hospital (63% vs. 38%) mortality rates were also higher in patients with cancer-related complications (P<0.001). Chemo/radiation therapy-induced toxicity (6%), venous thromboembolism (5%), respiratory failure (4%), gastrointestinal involvement (3%) and vena cava syndrome (VCS) (2%) were the most frequent cancer-related complications. In multivariable analysis, the presence of cancer-related complications per se was not associated with mortality [odds ratio (OR) = 1.25 (95% confidence interval, 0.94-1.66), P = 0.131]. However, among the individual cancer-related complications, VCS [OR = 3.79 (1.11-12.92), P = 0.033], gastrointestinal involvement [OR = 3.05 (1.57-5.91), P = <0.001] and respiratory failure [OR = 1.96(1.04-3.71), P = 0.038] were independently associated with in-hospital mortality.

CONCLUSIONS

The prognostic impact of cancer-related complications was variable. Although some complications were associated with worse outcomes, the presence of an acute cancer-related complication per se should not guide decisions to admit a patient to ICU.

Short-term and medium-term survival of critically ill patients with solid tumours admitted to the intensive care unit: a retrospective analysis

OBJECTIVES

Patients with cancer frequently require unplanned admission to the intensive care unit (ICU). Our objectives were to assess hospital and 180-day mortality in patients with a non-haematological malignancy and unplanned ICU admission and to identify which factors present on admission were the best predictors of mortality.

DESIGN

Retrospective review of all patients with a diagnosis of solid tumours following unplanned admission to the ICU between 1 August 2008 and 31 July 2012.

SETTING

Single centre tertiary care hospital in London (UK).

PARTICIPANTS

300 adult patients with non-haematological solid tumours requiring unplanned admission to the ICU.

INTERVENTIONS

None.

PRIMARY AND SECONDARY OUTCOMES

Hospital and 180-day survival.

RESULTS

300 patients were admitted to the ICU (median age 66.5 years; 61.7% men). Survival to hospital discharge and 180 days were 69% and 47.8%, respectively. Greater number of failed organ systems on admission was associated with significantly worse hospital survival (p<0.001) but not with 180-day survival (p=0.24). In multivariate analysis, predictors of hospital mortality were the presence of metastases (OR 1.97, 95% CI 1.08 to 3.59), Acute Physiology and Chronic Health Evaluation II (APACHE II) Score (OR 1.07, 95% CI 1.01 to 1.13) and a Glasgow Coma Scale Score <7 on admission to ICU (OR 5.21, 95% CI 1.65 to 16.43). Predictors of worse 180-day survival were the presence of metastases (OR 2.82, 95% CI 1.57 to 5.06), APACHE II Score (OR 1.07, 95% CI 1.01 to 1.13) and sepsis (OR 1.92, 95% CI 1.09 to 3.38).

CONCLUSIONS

Short-term and medium-term survival in patients with solid tumours admitted to ICU is better than previously reported, suggesting that the presence of cancer alone should not be a barrier to ICU admission.

The effects of performance status one week before hospital admission on the outcomes of critically ill patients

PURPOSE

To assess the impact of performance status (PS) impairment 1 week before hospital admission on the outcomes in patients admitted to intensive care units (ICU).

METHODS

Retrospective cohort study in 59,693 patients (medical admissions, 67 %) admitted to 78 ICUs during 2013. We classified PS impairment according to the Eastern Cooperative Oncology Group (ECOG) scale in absent/minor (PS = 0-1), moderate (PS = 2) or severe (PS = 3-4). We used univariate and multivariate logistic regression analyses to investigate the association between PS impairment and hospital mortality.

RESULTS

PS impairment was moderate in 17.3 % and severe in 6.9 % of patients. The hospital mortality was 14.4 %. Overall, the worse the PS, the higher the ICU and hospital mortality and length of stay. In addition, patients with worse PS were less frequently discharged home. PS impairment was associated with worse outcomes in all SAPS 3, Charlson Comorbidity Index and age quartiles as well as according to the admission type. Adjusting for other relevant clinical characteristics, PS impairment was associated with higher hospital mortality (odds-ratio (OR) = 1.96 (95 % CI 1.63-2.35), for moderate and OR = 4.22 (3.32-5.35), for severe impairment). The effects of PS on the outcome were particularly relevant in the medium range of severity-of-illness. These results were consistent in the subgroup analyses. However, adding PS impairment to the SAPS 3 score improved only slightly its discriminative capability.

CONCLUSION

PS impairment was associated with worse outcomes independently of other markers of chronic health status, particularly for patients in the medium range of severity of illness.

[Limitations of active therapeutic and palliative care in chronic respiratory disease]

The issue of intensive and palliative care in patients with chronic disease frequently arises. This review aims to describe the prognostic factors of chronic respiratory diseases in stable and in acute situations in order to improve the management of these complex situations. The various laws on patients' rights provide a legal framework and define the concept of unreasonable obstinacy. For patients with chronic obstructive pulmonary disease, the most robust decision factors are good knowledge of the respiratory disease, the comorbidities, the history of previous exacerbations and patient preferences. In the case of idiopathic pulmonary fibrosis, it is necessary to know if there is a prospect of transplantation and to assess the reversibility of the respiratory distress. In the case of amyotrophic lateral sclerosis, treatment decisions depend on the presence of advance directives about the use of intubation and tracheostomy. For lung cancer patients, general condition, cancer history and the tumor treatment plan are important factors. A multidisciplinary discussion that takes into account the patient's medical history, wishes and the current state of knowledge permits the taking of a coherent decision.

Continuous Renal Replacement Therapy for Acute Renal Failure in Patients with Cancer: A Well-Tolerated Adjunct Treatment

Introduction

Acute renal failure (ARF) has a poor prognosis in patients with cancer requiring intensive care unit (ICU) admission. Our aim is finding prognostic factors for hospital mortality in patients with cancer with ARF requiring renal replacement therapy (RRT).

Methods

In this retrospective study, all patients with cancer with ARF treated with continuous venovenous filtration (CVVHDF) in the ICU of the Institut Jules Bordet, between January 1, 2003 and December 31, 2012, were included.

Results

One hundred and three patients are assessed: men/women 69/34, median age 62 years, solid/hematologic tumors 68/35, median SAPS II 56. Mortality rate was 63%. Seven patients required chronic renal dialysis. After multivariate analysis, two variables were statistically associated with hospital mortality: more than one organ failure (including kidney) (OR 5.918; 95% CI 2.184–16.038; p < 0.001) and low albumin level (OR 3.341; 95% CI 1.229–9.077; p = 0.02). Only minor complications related to CVVHDF have been documented.

Conclusion

Despite the poor prognosis associated with ARF, CVVHDF is an effective and tolerable renal replacement technique in patients with cancer admitted to the ICU. Multiple organ failure and hypoalbuminemia, two independent prognostic factors for hospital mortality have to be considered when deciding for introducing RRT.

Predictors of survival in patients with sarcoma admitted to the intensive care unit

BACKGROUND

Advances in treatment of sarcoma patients has prolonged survival but has led to increased disease- or treatment-related complications resulting in greater number of admissions to the intensive care unit (ICU). Survival and long-term outcome information about such critically ill patients with sarcoma is unknown.

METHODS

The primary objective of the study was to determine the ICU and post-ICU survival rates of critically ill sarcoma patients. Secondary objectives included determining the modifiable and non-modifiable predictors of poor survival. We performed a retrospective chart review of sarcoma patients admitted to the ICU at The University of Texas MD Anderson Cancer Center between January 1, 2005, and December 31, 2012. Main outcome measures were ICU mortality, in-hospital mortality and 1, 2, and 6-month survival rates. Covariates such as histological diagnosis, disease characteristics, chemotherapy use, Charlson comorbidity index, Sequential Organ Failure Assessment (SOFA) scores, and clinical findings leading to ICU admission were analyzed for their effects on survival.

RESULTS

We identified 172 admissions over the 8-year study period hat met our inclusion criteria. The study population was 45.9 % males with a median age of 52 years. The most common sarcoma subgroups were high-grade unclassified sarcoma (25 %) and bone tumors (17.4 %). The ICU mortality rate was 23.3 % (95 % confidence interval [CI], 16.9-29.6 %), and an additional 6.4 % of patients died before hospital discharge (95 % CI, 22.9-37.1 %). 6-month OS rates were 41 %. The median SOFA scores on admission were 6 (inter quartile range (IQR), 3.5-9) in ICU survivors and 10 (IQR, 6.5-14) in ICU non-survivors. Increase in SOFA scores ≥6 led to poor outcomes (ICU survival 13.3 %, OS 6.7 %). Charlson comorbidity index (HR 1.139, 95 % CI 1.023-1.268, p = 0.02) and discharge SOFA scores (HR 1.210, 95 % CI 1.141-1.283, p < 0.0001) correlated with overall survival.

CONCLUSIONS

Our results suggest that patients that are admitted to the ICU for respiratory failure, cardiac arrest, septic shock, acute renal failure or acidosis and also have a high SOFA score with subsequent worsening in the ICU have poor prognosis. Based on the retrospective data which needs further validation we can recommend that judicious approach should be taken in patients with predictors of poor survival before subjecting them to aggressive treatment.

Effects of Organizational Characteristics on Outcomes and Resource Use in Patients With Cancer Admitted to Intensive Care Units

PURPOSE

To investigate the impact of organizational characteristics and processes of care on hospital mortality and resource use in patients with cancer admitted to intensive care units (ICUs).

PATIENTS AND METHODS

We performed a retrospective cohort study of 9,946 patients with cancer (solid, n = 8,956; hematologic, n = 990) admitted to 70 ICUs (51 located in general hospitals and 19 in cancer centers) during 2013. We retrieved patients' clinical and outcome data from an electronic ICU quality registry. We surveyed ICUs regarding structure, organization, staffing patterns, and processes of care. We used mixed multivariable logistic regression analysis to identify characteristics associated with hospital mortality and efficient resource use in the ICU.

RESULTS

Median number of patients with cancer per center was 110 (interquartile range, 58 to 154), corresponding to 17.9% of all ICU admissions. ICU and hospital mortality rates were 15.9% and 25.4%, respectively. After adjusting for relevant patient characteristics, presence of clinical pharmacists in the ICU (odds ratio [OR], 0.67; 95% CI, 0.49 to 0.90), number of protocols (OR, 0.92; 95% CI, 0.87 to 0.98), and daily meetings between oncologists and intensivists for care planning (OR, 0.69; 95% CI, 0.52 to 0.91) were associated with lower mortality. Implementation of protocols (OR, 1.52; 95% CI, 1.11 to 2.07) and meetings between oncologists and intensivists (OR, 4.70; 95% CI, 1.15 to 19.22) were also independently associated with more efficient resource use. Neither admission to ICUs in cancer centers compared with general hospitals nor annual case volume had an impact on mortality or resource use.

CONCLUSION

Organizational aspects, namely the implementation of protocols and presence of clinical pharmacists in the ICU, and close collaboration between oncologists and ICU teams are targets to improve mortality and resource use in critically ill patients with cancer.

Clinical features, aetiology and outcome of bacteraemic pneumonia in neutropenic cancer patients

BACKGROUND AND OBJECTIVE

We aimed to assess the clinical features, aetiology and outcomes of bacteraemic pneumonia in neutropenic cancer patients (NCP) in the current era of increasing antimicrobial resistance.

METHODS

All episodes of bacteraemia occurring in hospitalized patients with cancer, including haematopoietic stem cell transplant recipients, from January 2006 to April 2015 were included.

RESULTS

We identified 1723 episodes of bacteraemia, of which 795 occurred in neutropenic patients with cancer, and among them, 55 episodes were identified as bacteraemic pneumonia. The most frequent causative agents were Pseudomonas aeruginosa (39.6%), Streptococcus pneumoniae (20.6%) and Escherichia coli (8.6%). Among the Gram-negative organisms, 12.8% were multidrug resistant (MDR). Eleven patients (20%) required admission to intensive care, and eight (14.8%) underwent invasive mechanical ventilation. Nine patients (16.3%) received inadequate empirical antibiotic therapy, of whom six (66.6%) died; eight of these nine patients had pneumonia caused by resistant microorganisms. The early (48 h) case-fatality rate was 24% and the overall (30 day) case-fatality rate was 46.2%.

CONCLUSION

Bacteraemic pneumonia is a frequent complication among NCP and is mainly caused by P. aeruginosa and S. pneumoniae. The emergence of MDR organisms is of special concern. Despite the improvement in the management of cancer patients, case-fatality rates of NCP with bacteraemic pneumonia remain high. Urgent assessment is needed to identify a better approach for the management and support of these patients.

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.

Excessive intravenous fluid therapy in head and neck cancer surgery

BACKGROUND

The purpose of this retrospective study was to present our assessment of modifiable perioperative factors for major cardiac and cerebrovascular events (MACCE).

METHODS

This study included an unselected cohort of patients with head and neck cancer (n = 456) treated in Turku University Hospital between 1999 and 2008.

RESULTS

Perioperative and postoperative univariate predictors of MACCE at 30-day follow-up were: total amount of fluids (during 24 hours) over 4000 mL, any red blood cell (RBC) infusion, treatment in the intensive care unit (ICU), tracheostomy, and microvascular reconstruction surgery. Median time from operation to MACCE was 3 days. Patients receiving >4000 mL of fluids had MACCE more often compared with those receiving <4000 mL (10.8% vs 2.4%; p < .001, respectively). Moreover, every RBC unit transfused or every liter of fluid administered over 4000 mL/24h increased the risk of MACCE 18% per unit/liter, respectively.

CONCLUSION

Patients with head and neck cancer receiving excessive intravenous fluid administration perioperatively and postoperatively are at high risk for cardiac complications, especially heart failure. © 2016 Wiley Periodicals, Inc. Head Neck 39: 37-41, 2017.

Time-Limited Trials of Intensive Care for Critically Ill Patients With Cancer: How Long Is Long Enough?

IMPORTANCE

Time-limited trials of intensive care are commonly used in patients perceived to have a poor prognosis. The optimal duration of such trials is unknown. Factors such as a cancer diagnosis are associated with clinician pessimism and may affect the decision to limit care independent of a patient's severity of illness.

OBJECTIVE

To identify the optimal duration of intensive care for short-term mortality in critically ill patients with cancer.

DESIGN, SETTING, AND PARTICIPANTS

Decision analysis using a state-transition microsimulation model was performed to simulate the hospital course of patients with poor-prognosis primary tumors, metastatic disease, or hematologic malignant neoplasms admitted to medical and surgical intensive care units. Transition probabilities were derived from 920 participants stratified by sequential organ failure assessment (SOFA) scores to identify severity of illness. The model was validated in 3 independent cohorts with 349, 158, and 117 participants from quaternary care academic hospitals. Monte Carlo microsimulation was performed, followed by probabilistic sensitivity analysis. Outcomes were assessed in the overall cohort and in solid tumors alone.

INTERVENTIONS

Time-unlimited vs time-limited trials of intensive care.

MAIN OUTCOMES AND MEASURES

30-day all-cause mortality and mean survival duration.

RESULTS

The SOFA scores at ICU admission were significantly associated with mortality. A 3-, 8-, or 15-day trial of intensive care resulted in decreased mean 30-day survival vs aggressive care in all but the sickest patients (SOFA score, 5-9: 48.4% [95% CI, 48.0%-48.8%], 60.6% [95% CI, 60.2%-61.1%], and 66.8% [95% CI, 66.4%-67.2%], respectively, vs 74.6% [95% CI, 74.3%-75.0%] with time-unlimited aggressive care; SOFA score, 10-14: 36.2% [95% CI, 35.8%-36.6%], 44.1% [95% CI, 43.6%-44.5%], and 46.1% [95% CI, 45.6%-46.5%], respectively, vs 48.4% [95% CI, 48.0%-48.8%] with aggressive care; SOFA score, ≥ 15: 5.8% [95% CI, 5.6%-6.0%], 8.1% [95% CI, 7.9%-8.3%], and 8.3% [95% CI, 8.1%-8.6%], respectively, vs 8.8% [95% CI, 8.5%-9.0%] with aggressive care). However, the clinical magnitude of these differences was variable. Trial durations of 8 days in the sickest patients offered mean survival duration that was no more than 1 day different from time-unlimited care, whereas trial durations of 10 to 12 days were required in healthier patients. For the subset of patients with solid tumors, trial durations of 1 to 4 days offered mean survival that was not statistically significantly different from time-unlimited care.

CONCLUSIONS AND RELEVANCE

Trials of ICU care lasting 1 to 4 days may be sufficient in patients with poor-prognosis solid tumors, whereas patients with hematologic malignant neoplasms or less severe illness seem to benefit from longer trials of intensive care.

Murine Lung Cancer Increases CD4+ T Cell Apoptosis and Decreases Gut Proliferative Capacity in Sepsis

BACKGROUND

Mortality is significantly higher in septic patients with cancer than in septic patients without a history of cancer. We have previously described a model of pancreatic cancer followed by sepsis from Pseudomonas aeruginosa pneumonia in which cancer septic mice have higher mortality than previously healthy septic mice, associated with increased gut epithelial apoptosis and decreased T cell apoptosis. The purpose of this study was to determine whether this represents a common host response by creating a new model in which both the type of cancer and the model of sepsis are altered.

METHODS

C57Bl/6 mice received an injection of 250,000 cells of the lung cancer line LLC-1 into their right thigh and were followed three weeks for development of palpable tumors. Mice with cancer and mice without cancer were then subjected to cecal ligation and puncture and sacrificed 24 hours after the onset of sepsis or followed 7 days for survival.

RESULTS

Cancer septic mice had a higher mortality than previously healthy septic mice (60% vs. 18%, p = 0.003). Cancer septic mice had decreased number and frequency of splenic CD4+ lymphocytes secondary to increased apoptosis without changes in splenic CD8+ numbers. Intestinal proliferation was also decreased in cancer septic mice. Cancer septic mice had a higher bacterial burden in the peritoneal cavity, but this was not associated with alterations in local cytokine, neutrophil or dendritic cell responses. Cancer septic mice had biochemical evidence of worsened renal function, but there was no histologic evidence of renal injury.

CONCLUSIONS

Animals with cancer have a significantly higher mortality than previously healthy animals following sepsis. The potential mechanisms associated with this elevated mortality differ significantly based upon the model of cancer and sepsis utilized. While lymphocyte apoptosis and intestinal integrity are both altered by the combination of cancer and sepsis, the patterns of these alterations vary greatly depending on the models used.

Intensive care for cancer patients: An interdisciplinary challenge for cancer specialists and intensive care physicians

Every sixth to eighth European intensive care unit patient suffers from an underlying malignant disease. A large proportion of these patients present with cancer-related complications. This review explains why the prognosis of critically ill cancer patients has improved substantially over the last decades and which risk factors are of prognostic importance. Furthermore, the main reasons for intensive care unit admission – acute respiratory failure and septic complications – are discussed with regard to diagnostic and therapeutic specifics. In addition, we discuss potential intensive care unit admission criteria with respect to cancer prognosis. The successful management of critically ill cancer patients requires a close collaboration of intensivists with hematologists, oncologists and colleagues from other disciplines, such as infectious disease specialists, microbiologists, radiologists, surgeons, pharmacists, and others.

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.

Evaluation of Intermittent Hemodialysis in Critically Ill Cancer Patients with Acute Kidney Injury Using Single-Pass Batch Equipment

BACKGROUND

Data on renal replacement therapy (RRT) in cancer patients with acute kidney injury (AKI) in the intensive care unit (ICU) is scarce. The aim of this study was to assess the safety and the adequacy of intermittent hemodialysis (IHD) in critically ill cancer patients with AKI.

METHODS AND FINDINGS

In this observational prospective cohort study, 149 ICU cancer patients with AKI were treated with 448 single-pass batch IHD procedures and evaluated from June 2010 to June 2012. Primary outcomes were IHD complications (hypotension and clotting) and adequacy. A multiple logistic regression was performed in order to identify factors associated with IHD complications (hypotension and clotting). Patients were 62.2 ± 14.3 years old, 86.6% had a solid cancer, sepsis was the main AKI cause (51%) and in-hospital mortality was 59.7%. RRT session time was 240 (180-300) min, blood/dialysate flow was 250 (200-300) mL/min and UF was 1000 (0-2000) ml. Hypotension occurred in 25% of the sessions. Independent risk factors (RF) for hypotension were dialysate conductivity (each ms/cm, OR 0.81, CI 0.69-0.95), initial mean arterial pressure (each 10 mmHg, OR 0.49, CI 0.40-0.61) and SOFA score (OR 1.16, CI 1.03-1.30). Clotting and malfunctioning catheters (MC) occurred in 23.8% and 29.2% of the procedures, respectively. Independent RF for clotting were heparin use (OR 0.57, CI 0.33-0.99), MC (OR 3.59, CI 2.24-5.77) and RRT system pressure increase over 25% (OR 2.15, CI 1.61-4.17). Post RRT blood tests were urea 71 (49-104) mg/dL, creatinine 2.71 (2.10-3.8) mg/dL, bicarbonate 24.1 (22.5-25.5) mEq/L and K 3.8 (3.5-4.1) mEq/L.

CONCLUSION

IHD for critically ill patients with cancer and AKI offered acceptable hemodynamic stability and provided adequate metabolic control.

Tumor lysis syndrome in the emergency department: challenges and solutions

Tumor lysis syndrome (TLS) is the most common oncologic emergency. It is caused by rapid tumor cell destruction and the resulting nucleic acid degradation during or days after initiation of cytotoxic therapy. Also, a spontaneous form exists. The metabolic abnormalities associated with this syndrome include hyperkalemia, hyperphosphatemia, hypocalcemia, hyperuricemia, and acute kidney injury. These abnormalities can lead to life-threatening complications, such as heart rhythm abnormalities and neurologic manifestations. The emergency management of overt TLS involves proper fluid resuscitation with crystalloids in order to improve the intravascular volume and the urinary output and to increase the renal excretion of potassium, phosphorus, and uric acid. With this therapeutic strategy, prevention of calcium phosphate and uric acid crystal deposition within renal tubules is achieved. Other measures in the management of overt TLS are prescription of hypouricemic agents, renal replacement therapy, and correction of electrolyte imbalances. Hyperkalemia should be treated quickly and aggressively as its presence is the most hazardous acute complication that can cause sudden death from cardiac arrhythmias. Treatment of hypocalcemia is reserved for patients with electrocardiographic changes or symptoms of neuromuscular irritability. In patients who are refractory to medical management of electrolyte abnormalities or with severe cardiac and neurologic manifestations, early dialysis is recommended.

Quality of transition to end-of-life care for cancer patients in the intensive care unit

Background

There have been few studies that have evaluated the quality of end-of-life care (EOLC) for cancer patients in the ICU. The aim of this study was to explore the quality of transition to EOLC for cancer patients in ICU.

Methods

The study was undertaken on medical patients admitted to a specialist cancer hospital ICU over 6 months. Quantitative and qualitative methods were used to explore quality of transition to EOLC using documentary evidence. Clinical parameters on ICU admission were reviewed to determine if they could be used to identify patients who were likely to transition to EOLC during their ICU stay.

Results

Of 85 patients, 44.7% transitioned to EOLC during their ICU stay. Qualitative and quantitative analysis of the patients’ records demonstrated that there was collaborative decision-making between teams, patients and families during transition to EOLC. However, 51.4 and 40.5% of patients were too unwell to discuss transition to EOLC and DNACPR respectively. In the EOLC cohort, 76.3% died in ICU, but preferred place of death known in only 10%. Age, APACHE II score, and organ support, but not cancer diagnosis, were identified as associated with transition to EOLC (p = 0.017, p < 0.0001 and p = 0.001).

Conclusions

Advanced EOLC planning in patients with progressive disease prior to acute deterioration is warranted to enable patients’ wishes to be fulfilled and ceiling of treatments agreed. Better documentation and development of validated tools to measure the quality EOLC transition on the ICU are needed.

Managing critically Ill hematology patients: Time to think differently

The number of patients living with hematological malignancies (HMs) has increased steadily over time. This is the result of intensive and effective treatments that also increase the probability of infiltrative, infectious or toxic life threatening event. Over the last two decades, the number of patients with HMs admitted to the ICU increased and their mortality has dropped sharply. ICU patients with HMs require an extensive diagnostic workup and the optimal use of ICU treatments to identify the reason for ICU admission and the nature of the complication that explains organ dysfunctions. Mortality of ARDS or septic shock is up to 50%, respectively. In this review, the authors share their experience with managing critically ill patients with HMs. They discuss the main aspects of the diagnostic and therapeutic management of critically ill patients with HMs and argue that outcomes have improved over time and that many classic determinants of mortality have become irrelevant.

Intensive care admission of cancer patients: a comparative analysis

The aim of this study was to obtain insight into which proportion of cancer patients is admitted to an Intensive Care Unit (ICU) and how their survival, demographic, and clinical characteristics relate to cancer patients not admitted to the ICU. Data from patients registered with cancer between 2006 and 2011 in four hospitals in the Netherlands were linked to the Dutch National Intensive Care Evaluation registry. About 36,860 patients with cancer were identified, of whom 2,374 (6.4%) were admitted to the ICU. Fifty-six percent of ICU admissions were after surgery, whereas 44% were for medical reasons. The risk for ICU admission was highest among cancer patients treated with surgery either alone or combined with chemotherapy and/or radiation therapy. Only 80 of 1,073 medical ICU admissions (3.3%) were for cancer-specific reasons. Although more women (54.0%) than men were registered with cancer, the proportion of male cancer patients admitted to an ICU was much higher (9.3 vs. 4.0%, P < 0.001). Five-year survival of cancer patients admitted to the ICU was substantial (41%) although median survival was much lower (1,104 days) than in patients not admitted to the ICU (median survival time not reached, P < 0.001). These results show that one out of 16 cancer patients was admitted to an ICU and that ICU support for this group should not be considered futile.

Transfusion requirements in surgical oncology patients: a prospective, randomized controlled trial

BACKGROUND

Several studies have indicated that a restrictive erythrocyte transfusion strategy is as safe as a liberal one in critically ill patients, but there is no clear evidence to support the superiority of any perioperative transfusion strategy in patients with cancer.

METHODS

In a randomized, controlled, parallel-group, double-blind (patients and outcome assessors) superiority trial in the intensive care unit of a tertiary oncology hospital, the authors evaluated whether a restrictive strategy of erythrocyte transfusion (transfusion when hemoglobin concentration <7 g/dl) was superior to a liberal one (transfusion when hemoglobin concentration <9 g/dl) for reducing mortality and severe clinical complications among patients having major cancer surgery. All adult patients with cancer having major abdominal surgery who required postoperative intensive care were included and randomly allocated to treatment with the liberal or the restrictive erythrocyte transfusion strategy. The primary outcome was a composite endpoint of mortality and morbidity.

RESULTS

A total of 198 patients were included as follows: 101 in the restrictive group and 97 in the liberal group. The primary composite endpoint occurred in 19.6% (95% CI, 12.9 to 28.6%) of patients in the liberal-strategy group and in 35.6% (27.0 to 45.4%) of patients in the restrictive-strategy group (P = 0.012). Compared with the restrictive strategy, the liberal transfusion strategy was associated with an absolute risk reduction for the composite outcome of 16% (3.8 to 28.2%) and a number needed to treat of 6.2 (3.5 to 26.5).

CONCLUSION

A liberal erythrocyte transfusion strategy with a hemoglobin trigger of 9 g/dl was associated with fewer major postoperative complications in patients having major cancer surgery compared with a restrictive strategy.

Clinical outcomes and microbiological characteristics of severe pneumonia in cancer patients: a prospective cohort study

INTRODUCTION

Pneumonia is the most frequent type of infection in cancer patients and a frequent cause of ICU admission. The primary aims of this study were to describe the clinical and microbiological characteristics and outcomes in critically ill cancer patients with severe pneumonia.

METHODS

Prospective cohort study in 325 adult cancer patients admitted to three ICUs with severe pneumonia not acquired in the hospital setting. Demographic, clinical and microbiological data were collected.

RESULTS

There were 229 (71%) patients with solid tumors and 96 (29%) patients with hematological malignancies. 75% of all patients were in septic shock and 81% needed invasive mechanical ventilation. ICU and hospital mortality rates were 45.8% and 64.9%. Microbiological confirmation was present in 169 (52%) with a predominance of Gram negative bacteria [99 (58.6%)]. The most frequent pathogens were methicillin-sensitive S. aureus [42 (24.9%)], P. aeruginosa [41(24.3%)] and S. pneumonia [21 (12.4%)]. A relatively low incidence of MR [23 (13.6%)] was observed. Adequate antibiotics were prescribed for most patients [136 (80.5%)]. In multivariate analysis, septic shock at ICU admission [OR 5.52 (1.92-15.84)], the use of invasive MV [OR 12.74 (3.60-45.07)] and poor Performance Status [OR 3.00 (1.07-8.42)] were associated with increased hospital mortality.

CONCLUSIONS

Severe pneumonia is associated with high mortality rates in cancer patients. A relatively low rate of MR pathogens is observed and severity of illness and organ dysfunction seems to be the best predictors of outcome in this population.

Sepsis severe or septic shock: outcome according to immune status and immunodeficiency profile

OBJECTIVES

This study evaluated the influence of the immune profile on the outcome at day 28 (D28) of patients admitted to the ICU for septic shock or severe sepsis.

METHODS

We conducted an observational study using a prospective multicenter database and included all patients admitted to 11 ICUs for severe sepsis or septic shock from January 1997 to August 2011. Seven profiles of immunodeficiency were defined. The prognostic analysis used a competitive risk model (Fine and Gray), in which being alive at ICU or hospital discharge before D28 competed with death.

RESULTS

Among the 1,981 included patients, 607 (31%) were immunocompromised (including nonneutropenic solid tumor [19.6%], nonneutropenic hematologic malignancies [26.3%], and all-cause neutropenia [28%]). Compared with immunocompetent patients, immunocompromised patients were younger, with less comorbidity, were more often admitted for medical reasons, and presented less often with septic shock. The D28 crude mortality was 31.3% in immunocompromised patients and 28.8% in immunocompetent patients (P = .26). However, after adjustment for other prognostic factors, immunodeficiency was an independent risk factor for death at D28 (subdistribution hazard ratio [sHR], 1.37; 95% CI, 1.12-1.67). The immunodeficiency profiles independently associated with death were AIDS (sHR = 1.9), non-neutropenic solid tumor (sHR = 1.8), nonneutropenic hematologic malignancies (sHR = 1.4), and all-cause neutropenia (sHR = 1.7).

CONCLUSIONS

Immunodeficiency is common in patients with severe sepsis or septic shock. Despite a similar crude mortality, immunodeficiency was associated with an increased risk of short-term mortality after multivariate analysis. Neutropenia and specific, but not all, profiles of immunodeficiency were independently associated with an increased risk of death.

sTREM-1 predicts intensive care unit and 28-day mortality in cancer patients with severe sepsis and septic shock

INTRODUCTION

The innate immune response molecules and their use as a predictor of mortality in cancer patients with severe sepsis and septic shock are poorly investigated.

OBJECTIVE

To analyze the value of interleukin (IL)-1ß, IL-6, IL-8, IL-10, IL-12, tumor necrosis factor α (TNF-α), soluble triggering receptor expressed on myeloid cells 1 (sTREM-1), and high-mobility group box 1 (HMGB-1) as predictors of mortality in cancer patients with severe sepsis and septic shock compared with septic patients without malignancies.

DESIGN

Prospective, observational cohort study.

SETTING

Tertiary level adult intensive care unit (ICU).

SUBJECTS

Seventy-five patients with severe sepsis or septic shock, 40 with cancer and 35 without.

INTERVENTIONS AND MEASUREMENTS

Laboratory data were collected at ICU admission, 24 and 48 hours after. Plasma concentrations of HMGB-1 and sTREM-1 were measured by enzyme-linked immunosorbent assay, whereas cytokines were measured by cytometric bead array.

RESULTS

Intensive care unit mortality in cancer and noncancer patients was 40% and 28.6% (P = .29), and 28-day mortality was 45% and 34.3% (P = .34). Proinflammatory cytokines IL-1ß, IL-6, IL-8, IL-12, and TNF-α showed significantly higher values in the cancer group. Interleukin-10 at 48 hours (P = .01), sTREM-1 in all measurements (P < .01) and HMGB-1 at 24 hours (P < .01) showed significantly lower values in the cancer group. In addition, for the cancer group, sTREM-1 at 24 hours (P = .02) and 48 hours (P = .01) showed higher levels in nonsurvivors patients. The area under the receiver operating characteristic curve for predicting ICU mortality for sTREM-1 was 0.73 (95% confidence interval, 0.57-0.89; P = .01). Multivariate logistic analysis showed that the days spent in mechanical ventilation and levels of sTREM-1 and IL-1ß at 48 hours were independent predictors of ICU mortality; corticosteroids requirement and levels of sTREM-1 and TNF-α at 24 hours were independent predictors of 28-day mortality.

CONCLUSIONS

Patients with cancer have different immune profile in sepsis when compared with patients without cancer, as demonstrated for levels of cytokines, sTREM-1 and HMGB-1. sTREM-1 and days spent in mechanical ventilation proved to be good predictors of ICU and 28-day mortality in cancer patients.

Outcomes for patients with cancer admitted to the ICU requiring ventilatory support: results from a prospective multicenter study

BACKGROUND

This study was undertaken to evaluate the clinical characteristics and outcomes of patients with cancer requiring nonpalliative ventilatory support.

METHODS

This was a secondary analysis of a prospective cohort study conducted in 28 Brazilian ICUs evaluating adult patients with cancer requiring invasive mechanical ventilation (MV) or noninvasive ventilation (NIV) during the first 48 h of their ICU stay. We used logistic regression to identify the variables associated with hospital mortality.

RESULTS

Of 717 patients, 263 (37%) (solid tumors = 227; hematologic malignancies = 36) received ventilatory support. NIV was initially used in 85 patients (32%), and 178 (68%) received MV. Additionally, NIV followed by MV occurred in 45 patients (53%). Hospital mortality rates were 67% in all patients, 40% in patients receiving NIV only, 69% when NIV was followed by MV, and 73% in patients receiving MV only (P < .001). Adjusting for the type of admission, newly diagnosed malignancy (OR, 3.59; 95% CI, 1.28-10.10), recurrent or progressive malignancy (OR, 3.67; 95% CI, 1.25-10.81), tumoral airway involvement (OR, 4.04; 95% CI, 1.30-12.56), performance status (PS) 2 to 4 (OR, 2.39; 95% CI, 1.24-4.59), NIV followed by MV (OR, 3.00; 95% CI, 1.09-8.18), MV as initial ventilatory strategy (OR, 3.53; 95% CI, 1.45-8.60), and Sequential Organ Failure Assessment score (each point except the respiratory domain) (OR, 1.15; 95% CI, 1.03-1.29) were associated with hospital mortality. Hospital survival in patients with good PS and nonprogressive malignancy and without tumoral airway involvement was 53%. Conversely, patients with poor functional capacity and cancer progression had unfavorable outcomes.

CONCLUSIONS

Patients with cancer with good PS and nonprogressive disease requiring ventilatory support should receive full intensive care, because one-half of these patients survive. On the other hand, provision of palliative care should be considered the main goal for patients with poor PS and progressive underlying malignancy.

Selection criteria for intensive care unit referral of lung cancer patients: a pilot study

The decision-making process for the intensity of care delivered to patients with lung cancer and organ failure is poorly understood, and does not always involve intensivists. Our objective was to describe the potential suitability for intensive care unit (ICU) referral of lung cancer in-patients with organ failures.

We prospectively included consecutive lung cancer patients with failure of at least one organ admitted to the teaching hospital in Grenoble, France, between December 2010 and October 2012.

Of 140 patients, 121 (86%) were evaluated by an oncologist and 49 (35%) were referred for ICU admission, with subsequent admission for 36 (73%) out of those 49. Factors independently associated with ICU referral were performance status ⩽2 (OR 10.07, 95% CI 3.85–26.32), nonprogressive malignancy (OR 7.00, 95% CI 2.24–21.80), and no explicit refusal of ICU admission by the patient and/or family (OR 7.95, 95% CI 2.39–26.37). Factors independently associated with ICU admission were the initial ward being other than the lung cancer unit (OR 6.02, 95% CI 1.11–32.80) and an available medical ICU bed (OR 8.19, 95% CI 1.48–45.35).

Only one-third of lung cancer patients with organ failures were referred for ICU admission. The decision not to consider ICU admission was often taken by a non-intensivist, with advice from an oncologist rather than an intensivist.

Analysis of advanced lung cancer patients diagnosed following emergency admission

Data on prognosis and predictors of overall survival in advanced lung cancer patients diagnosed following emergency admission (DFEA) are currently lacking. We retrospectively analysed data from 771 patients with advanced nonsmall cell lung cancer between April 2004 and April 2012. Of the 771 patients, 103 (13%) were DFEA. DFEA was not an independent predictor of overall survival by multivariate Cox proportional hazard models, whereas good performance status (PS), epidermal growth factor receptor gene mutation, stage IIIB, adenocarcinoma and chemotherapy were independent predictors of overall survival (hazard ratio (95% CI) 0.36 (0.29-0.44), p<0.001; 0.49 (0.38-0.63), p<0.001; 0.64 (0.51-0.80), p<0.001; 0.81 (0.67-0.99), p=0.044; and 0.40 (0.31-0.52), p<0.001, respectively). Good PS just prior to opting for chemotherapy, but not at emergency admission, was a good independent predictor of overall survival in DFEA patients (hazard ratio (95% CI) 0.26 (0.12-0.55); p<0.001). DFEA is relatively common. DFEA and PS at emergency admission were not independent predictors of overall survival, but good PS just prior to opting for chemotherapy was an independent predictor of longer overall survival. Efforts to improve patient PS after admission should be considered vital in such circumstances.

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.

Intensive care in patients with lung cancer: a multinational study

BACKGROUND

Detailed information about lung cancer patients requiring admission to intensive care units (ICUs) is mostly restricted to single-center studies. Our aim was to evaluate the clinical characteristics and outcomes of lung cancer patients admitted to ICUs.

PATIENTS AND METHODS

Prospective multicenter study in 449 patients with lung cancer (small cell, n = 55; non-small cell, n = 394) admitted to 22 ICUs in six countries in Europe and South America during 2011. Multivariate Cox proportional hazards frailty models were built to identify characteristics associated with 30-day and 6-month mortality.

RESULTS

Most of the patients (71%) had newly diagnosed cancer. Cancer-related complications occurred in 56% of patients; the most common was tumoral airway involvement (26%). Ventilatory support was required in 53% of patients. Overall hospital, 30-day, and 6-month mortality rates were 39%, 41%, and 55%, respectively. After adjustment for type of admission and early treatment-limitation decisions, determinants of mortality were organ dysfunction severity, poor performance status (PS), recurrent/progressive cancer, and cancer-related complications. Mortality rates were far lower in the patient subset with nonrecurrent/progressive cancer and a good PS, even those with sepsis, multiple organ dysfunctions, and need for ventilatory support. Mortality was also lower in high-volume centers. Poor PS predicted failure to receive the initially planned cancer treatment after hospital discharge.

CONCLUSIONS

ICU admission was associated with meaningful survival in lung cancer patients with good PS and non-recurrent/progressive disease. Conversely, mortality rates were very high in patients not fit for anticancer treatment and poor PS. In this subgroup, palliative care may be the best option.

The impact of performance status and comorbidities on the short-term prognosis of very elderly patients admitted to the ICU

BACKGROUND

Patients ≥80 years of age are increasingly being admitted to the intensive care unit (ICU). The impact of relevant variables, such comorbidities and performance status, on short-term outcomes in the very elderly is largely unknown. Few studies address the calibration of illness severity scores (SAPS3 score) within this population. We investigated the risk factors for hospital mortality in critically ill patients ≥80 years old, emphasizing performance status and comorbidities, and assessed the calibration of SAPS3 scores in this population.

METHODS

1129 very elderly patients admitted to a tertiary ICU in Brazil during a two-year period were retrospectively included in this study. Demographic features, reasons for admission, illness severity, comorbidities (including the Charlson Comorbidity Index) and a simplified performance status measurement were obtained. After univariate analysis, a multivariate model was created to evaluate the factors that were associated with hospital mortality. Alternatively, a conditional inference tree with recursive partitioning was constructed. Calibration of the SAPS3 scores and the multivariate model were evaluated using the Hosmer-Lemeshow test and a calibration plot. Discrimination was assessed using a receiver operating characteristics curve.

RESULTS

On multivariate analysis after stepwise regression, only the SAPS3 score (OR 1.08, 95% CI 1.06-1.10), Charlson Index (OR 1.16, 95% CI 1.07-1.27), performance status (OR 1.61, 95% CI 1.05-2.64 for partially dependent patients and OR 2.39, 95% CI 1.38-4.13 for fully dependent patients) and a non-full code status (OR 11.74, 95% CI 6.22-22.160) were associated with increased hospital mortality. Conditional inference tree showed that performance status and Charlson Index had the greatest influence on patients with less severe disease, whereas a non-full code status was prominent in patients with higher illness severity (SAPS3 score >61). The model obtained after logistic regression that included the before mentioned variables demonstrated better calibration and greater discrimination capability (AUC 0.86, 95% CI 0.83-0.89 versus AUC 0.81, 95% CI 0.78-0.84, respectively; p < 0.001) than the SAPS3 score alone.

CONCLUSIONS

Performance status and comorbidities are important determinants of short-term outcome in critically ill elderly patients ≥80 years old. The addition of simple background information may increase the calibration of the SAPS3 score in this population.