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

Short- and Long-Term Outcomes of Hematologic Malignancy Patients After Cardiopulmonary Resuscitation: Experience of a Large Oncology Center

Purpose

The objective of this study is to describe characteristics and short- and long-term outcomes of patients with hematologic malignancies who received cardiopulmonary resuscitation (CPR).

Methods

A retrospective review was conducted of all Code Blues at a large comprehensive cancer center. Demographic, clinical, and outcome variables were analyzed for patients with a hematologic malignancy who underwent CPR.

Results

Of 258 patients, 60.1% had leukemia. Outcomes included return of spontaneous circulation (70.2%), hospital survival (12%), and 90-day, 6-month, and 1-year survival rates of 9.8%, 8.2%, and 5.9%, respectively. Factors associated with hospital mortality included establishing a do not resuscitate order after CPR (p < .0001), location of CPR (p = .0004), cause of arrest (p = .0019), requiring vasopressors (p = .0130), mechanical ventilation (p = .0423), and acute renal failure post CPR (p = .0006). Although no difference in hospital survival between leukemia and non-leukemia patients was found, more non-leukemia patients were alive at 90 days (p = .0099), 6 months (p = .0023), and 1 year (p = .0119).

Conclusions

Factors including organ dysfunction, location of CPR, and cause of arrest are associated with hospital mortality post CPR. However, immediate survival post CPR does not seem to be affected by a diagnosis of leukemia. These data should assist health care providers with discussions regarding advance care planning and goals of care after cardiac arrest.

Tyrosine Kinase Inhibitors Improved Survival of Critically Ill EGFR-Mutant Lung Cancer Patients Undergoing Mechanical Ventilation

Background: Respiratory failure requiring mechanical ventilation is the major reason for lung cancer patients being admitted to the intensive care unit (ICU). Though molecular targeted therapies, especially epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs), have largely improved the survival of oncogene-driven lung cancer patients, few studies have focused on the performance of TKI in such settings. Materials and Methods: This was a retrospective cohort study enrolling non-small cell lung cancer (NSCLC) patients who harbored sensitizing EGFR mutation and had received EGFR-TKIs as first-line cancer therapy in the ICU with mechanical ventilator use. The primary outcome was the 28-day ICU survival rate, and secondary outcomes were the rate of successful weaning from the ventilator and overall survival. Results: A total of 35 patients were included. The 28-day ICU survival rate was 77%, and the median overall survival was 67 days. Multivariate logistic regression revealed that shock status was associated with a lower 28-day ICU survival rate independently (odds ratio (OR) 0.017, 95% confidence interval (CI), 0.000–0.629, p = 0.027), and that L858R mutation (L858R compared with exon 19 deletion, OR, 0.014, 95% CI 0.000–0.450, p = 0.016) and comorbidities of diabetes mellitus (DM) (OR, 0.032, 95% CI, 0.000–0.416, p = 0.014)) were independently predictive of weaning failure. The successful weaning rate was 43%, and the median of ventilator-dependent duration was 22 days (IQR, 12–29). Conclusions: For EGFR mutant lung cancer patients suffering from respiratory failure and undergoing mechanical ventilation, TKI may still be useful, especially in those with EGFR del19 mutation or without shock and DM comorbidity.

Critical illness in patients with metastatic cancer: a population-based cohort study of epidemiology and outcomes

The appropriateness of intensive care unit (ICU) admission of patients with metastatic cancer remains debated. We aimed to examine the short-term outcomes and their temporal pattern in critically ill patients with metastatic disease. We used state-wide data to identify hospitalizations aged ≥18 years with metastatic cancer admitted to ICU in Texas during 2010-2014. Multivariable logistic regression modeling was used to examine the factors associated with short-term mortality and its temporal trends among all ICU admissions and those undergoing mechanical ventilation. Among 136,644 ICU admissions with metastatic cancer, 50.8% were aged ≥65 years, with one or more organ failures present in 53.3% and mechanical ventilation was used in 11.1%. The crude short-term mortality among all ICU admissions and those mechanically ventilated was 28.1% and 62.0%, respectively. Discharge to home occurred in 57.1% of all ICU admissions. On adjusted analyses, short-term mortality increased with rising number of organ failures (adjusted OR (aOR) 1.399, 95% CI 1.374 to 1.425), while being lower with chemotherapy (aOR 0.467, 95% CI 0.432 to 0.506) and radiation therapy (aOR 0.832, 95% CI 0.749 to 0.924), and decreased over time (aOR 0.934 per year, 95% CI 0.924 to 0.945). Predictors of short-term mortality were largely similar among those undergoing mechanical ventilation. Most ICU admissions with metastatic cancer survived hospitalization, although short-term mortality was very high among those undergoing mechanical ventilation. Short-term mortality decreased over time and was lower among those receiving chemotherapy and radiation therapy. These findings support consideration of critical care in patients with metastatic cancer, but underscore the need to address patient-centered goals of care ahead of ICU admission.

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

INTRODUCTION

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

MATERIALS AND METHODS

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

RESULTS

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

CONCLUSION

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

Acute abdomen in the immunocompromised patient: WSES, SIS-E, WSIS, AAST, and GAIS guidelines

Immunocompromised patients are a heterogeneous and diffuse category frequently presenting to the emergency department with acute surgical diseases. Diagnosis and treatment in immunocompromised patients are often complex and must be multidisciplinary. Misdiagnosis of an acute surgical disease may be followed by increased morbidity and mortality. Delayed diagnosis and treatment of surgical disease occur; these patients may seek medical assistance late because their symptoms are often ambiguous. Also, they develop unique surgical problems that do not affect the general population. Management of this population must be multidisciplinary.This paper presents the World Society of Emergency Surgery (WSES), Surgical Infection Society Europe (SIS-E), World Surgical Infection Society (WSIS), American Association for the Surgery of Trauma (AAST), and Global Alliance for Infection in Surgery (GAIS) joined guidelines about the management of acute abdomen in immunocompromised patients.

Outcomes of ICU patients with and without perceptions of excessive care: a comparison between cancer and non-cancer patients

Background

Whether Intensive Care Unit (ICU) clinicians display unconscious bias towards cancer patients is unknown. The aim of this study was to compare the outcomes of critically ill patients with and without perceptions of excessive care (PECs) by ICU clinicians in patients with and without cancer.

Methods

This study is a sub-analysis of the large multicentre DISPROPRICUS study. Clinicians of 56 ICUs in Europe and the United States completed a daily questionnaire about the appropriateness of care during a 28-day period. We compared the cumulative incidence of patients with concordant PECs, treatment limitation decisions (TLDs) and death between patients with uncontrolled and controlled cancer, and patients without cancer.

Results

Of the 1641 patients, 117 (7.1%) had uncontrolled cancer and 270 (16.4%) had controlled cancer. The cumulative incidence of concordant PECs in patients with uncontrolled and controlled cancer versus patients without cancer was 20.5%, 8.1%, and 9.1% (p < 0.001 and p = 0.62, respectively). In patients with concordant PECs, we found no evidence for a difference in time from admission until death (HR 1.02, 95% CI 0.60–1.72 and HR 0.87, 95% CI 0.49–1.54) and TLDs (HR 0.81, 95% CI 0.33–1.99 and HR 0.70, 95% CI 0.27–1.81) across subgroups. In patients without concordant PECs, we found differences between the time from admission until death (HR 2.23, 95% CI 1.58–3.15 and 1.66, 95% CI 1.28–2.15), without a corresponding increase in time until TLDs (NA, p = 0.3 and 0.7) across subgroups.

Conclusions

The absence of a difference in time from admission until TLDs and death in patients with concordant PECs makes bias by ICU clinicians towards cancer patients unlikely. However, the differences between the time from admission until death, without a corresponding increase in time until TLDs, suggest prognostic unawareness, uncertainty or optimism in ICU clinicians who did not provide PECs, more specifically in patients with uncontrolled cancer. This study highlights the need to improve intra- and interdisciplinary ethical reflection and subsequent decision-making at the ICU.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-021-00895-5.

Performance status and acute organ dysfunction influence hospital mortality in critically ill patients with cancer and suspected infection: a retrospective cohort analysis

Objective

To evaluate how performance status impairment and acute organ dysfunction influence hospital mortality in critically ill patients with cancer who were admitted with suspected sepsis.

Methods

Data were obtained from a retrospective cohort of patients, admitted to an intensive care unit, with cancer and with a suspected infection who received parenteral antibiotics and underwent the collection of bodily fluid samples. We used logistic regression with hospital mortality as the outcome and the Sequential Organ Failure Assessment score, Eastern Cooperative Oncology Group status, and their interactions as predictors.

Results

Of 450 patients included, 265 (58.9%) died in the hospital. For patients admitted to the intensive care unit with lower Sequential Organ Failure Assessment (≤ 6), performance status impairment influenced the in-hospital mortality, which was 32% among those with no and minor performance status impairment and 52% among those with moderate and severe performance status impairment, p < 0.01. However, for those with higher Sequential Organ Failure Assessment (> 6), performance status impairment did not influence the in-hospital mortality (73% among those with no and minor impairment and 84% among those with moderate and severe impairment; p = 0.1).

Conclusion

Performance status impairment seems to influence hospital mortality in critically ill cancer patients with suspected sepsis when they have less severe acute organ dysfunction at the time of intensive care unit admission.

A 12-year study evaluating the outcomes and predictors of mortality in critically ill cancer patients admitted with septic shock

Background

Though sepsis is common in patients with cancer, there are limited studies that evaluated sepsis and septic shock in this patient population. The objective of this study was to evaluate the outcomes and to identify predictors of mortality in cancer patients admitted to the intensive care unit (ICU) with septic shock.

Methods

This was a retrospective study conducted at a medical-surgical oncologic ICU of a comprehensive cancer center. Adult cancer patients admitted with septic shock between January 1, 2008 and December 31, 2019 were enrolled. Septic shock was defined as an ICU admission diagnosis of sepsis that required initiating vasopressors within 24 h of admission. Patient baseline characteristics, ICU length of stay and ICU and hospital mortality were recorded. Univariate analysis and logistic regression were performed to identify predictors associated with ICU and hospital mortality.

Results

During the study period, 1408 patients met the inclusion criteria. The mean age was 56.8 ± 16.1 (SD) years and mean Acute Physiology and Chronic Health Evaluation (APACHE) II was 23.0 ± 7.91 (SD). Among the enrolled patients, 67.8% had solid tumors while the remaining had hematological malignancies. Neutropenia and thrombocytopenia were reported in 19.3 and 39.5% of the patients, respectively, and mechanical ventilation was required for 42% of the patients. Positive cultures were reported in 836 (59.4%) patients, most commonly blood (33%) and respiratory (26.6%). Upon admission, about half the patients had acute kidney injury, while elevated total bilirubin and lactic acid levels were reported in 13.8 and 65.2% of the patients, respectively. The median ICU length of stay was 4 days (IQR 3–8), and ICU and hospital mortality were reported in 688 (48.9%) and 914 (64.9%) patients, respectively. Mechanical ventilation, APACHE II, thrombocytopenia, positive cultures, elevated bilirubin and lactic acid levels were significantly associated with both ICU and hospital mortality.

Conclusions

In a relatively large cohort of patients with solid and hematological malignancies admitted to the ICU with septic shock, hospital mortality was reported in about two-third of the patients. Mechanical ventilation, APACHE II, thrombocytopenia, positive cultures, elevated bilirubin and lactic acid levels were significant predictors of mortality.

Epidemiology and prognosis of patients with a history of cancer admitted to intensive care. A multicenter observational study

OBJECTIVE

To assess the epidemiology and outcome at discharge of cancer patients requiring admission to the Intensive Care Unit (ICU).

DESIGN

A descriptive observational study was made of data from the ENVIN-HELICS registry, combined with specifically compiled variables. Comparisons were made between patients with and without neoplastic disease, and groups of cancer patients with a poorer outcome were identified.

SETTING

Intensive Care Units participating in ENVIN-HELICS 2018, with voluntary participation in the oncological registry.

PATIENTS

Subjects admitted during over 24 h and diagnosed with cancer in the last 5 years.

PRIMARY ENDPOINTS

The general epidemiological endpoints of the ENVIN-HELICS registry and cancer-related variables.

RESULTS

Of the 92 ICUs with full data, a total of 11,796 patients were selected, of which 1786 (15.1%) were cancer patients. The proportion of cancer patients per Unit proved highly variable (1%-48%). In-ICU mortality was higher among the cancer patients than in the non-oncological subjects (12.3% versus 8.9%; p < .001). Elective postoperative (46.7%) or emergency admission (15.3%) predominated in the cancer patients. Patients with medical disease were in more serious condition, with longer stay and greater mortality (27.5%). The patients admitted to the ICU due to nonsurgical disease related to cancer exhibited the highest mortality rate (31.4%).

CONCLUSIONS

Great variability was recorded in the percentage of cancer patients in the different ICUs. A total of 46.7% of the patients were admitted after undergoing scheduled surgery. The highest mortality rate corresponded to patients with medical disease (27.5%), and to those admitted due to cancer-related complications (31.4%).

Clinical outcomes in patients with lung cancer admitted to intensive care units

Background

Recent advances in critical care and infection control have led to improved intensive care unit (ICU) survival rates. However, controversy exists regarding the benefits of ICU treatment for patients with lung cancer. In this study, we evaluated the clinical outcomes of patients from the Korean national database, who had been diagnosed with lung cancer and had received ICU treatment.

Methods

We investigated patients in Korea who had been newly diagnosed with lung cancer between January 1, 2008 and December 31, 2010. We classified these critically ill patients with lung cancer according to their lung cancer treatment pathways, with a specific focus on those who had undergone ICU treatment.

Results

We found that 31.3% of patients newly diagnosed with lung cancer had been admitted to the ICU for any reason, and 18.5% of patients with lung cancer were admitted to the ICU for reasons other than postoperative surgical lung cancer resection. The ICU mortality rate was 2.9% in patients admitted to the ICU for postoperative care and 47.5% in patients admitted for other reasons. Clinical cancer staging (HR, 7.02; 95% CI, 5.82–8.48; P<0.01) and the need for mechanical ventilator (HR, 1.34; 95% CI, 1.27–1.41; P<0.01) were independently associated with ICU mortality. The importance of mechanical ventilator intervention as a predictor for survival was significantly greater in the earlier stages of lung cancer (HR, 1.97; 95% CI, 1.15–3.38; P<0.01).

Conclusions

This study suggests that goals and treatment plans for critically ill patients with lung cancer should be determined by the individual patient’s clinical cancer stage, regardless of the reason for admission to the ICU.

The effect of the underlying malignancy on short- and medium-term survival of critically ill patients admitted to the intensive care unit: a retrospective analysis based on propensity score matching

Background

Advances in oncology led to a substantial increase in the number of patients requiring admission to the ICU. It is significant to confirm which cancer critical patients can benefit from the ICU care like noncancer patients.

Methods

An observational retrospective cohort study using intensive care unit (ICU) admissions of Medical Information Mart for Intensive Care III from the Beth Israel Deaconess Medical Center in Boston, MA, USA between 2001 and 2012 was conducted. Propensity score matching was used to reduce the imbalance between two matched cohorts. ICU patients with cancer were compared with those without cancer in terms of patients’ characteristics and survival.

Results

There were 38,508 adult patients admitted to ICUs during the period. The median age was 65 years (IQR, 52–77) and 8308 (21.6%) had an underlying malignancy diagnosis. The noncancer group had a significant survive advantage at the point of 28-day, 90-day, 365-day and 1095-day after ICU admission compared with cancer group (P < 0.001 for all) after PSM. Subgroup analysis showed that the diagnosis of malignancy didn’t decrease 28-day and 90-day survive when patients’ age ≥ 65-year, patients in surgical intensive care unit or cardiac surgery recovery unit or traumatic surgical intensive care unit, elective admissions, patients with renal replacement therapy or vasopressor support (P > 0.05 for all).

Conclusions

Malignancy is a common diagnosis among ICU patients. Patients without cancer have a survive advantage compared with patients with cancer in the short- and medium-term. However, in selected groups, cancer critical patients can benefit from the ICU care service like noncancer patients in the short-term.

Understanding and Managing Sepsis in Patients With Cancer in the Era of Antimicrobial Resistance

Sepsis is a frequent complication in immunosuppressed cancer patients and hematopoietic stem cell transplant recipients that is associated with high morbidity and mortality rates. The worldwide emergence of antimicrobial resistance is of special concern in this population because any delay in starting adequate empirical antibiotic therapy can lead to poor outcomes. In this review, we aim to address: (1) the mechanisms involved in the development of sepsis and septic shock in these patients; (2) the risk factors associated with a worse prognosis; (3) the impact of adequate initial empirical antibiotic therapy given the current era of widespread antimicrobial resistance; and (4) the optimal management of sepsis, including adequate and early source control of infection, optimized antibiotic use based on the pharmacokinetic and pharmacodynamics changes in these patients, and the role of the new available antibiotics.

Cancer Is an Independent Risk Factor for Acute Respiratory Distress Syndrome in Critically Ill Patients: A Single Center Retrospective Cohort Study

BACKGROUND

Acute Respiratory Distress Syndrome (ARDS) is a frequent cause of respiratory failure in intensive care unit (ICU) patients and results in significant morbidity and mortality. ARDS often develops as a result of a local or systemic inflammatory insult. Cancer can lead to systemic inflammation but whether cancer is an independent risk factor for developing ARDS is unknown. We hypothesized that critically ill cancer patients admitted to the ICU were at increased risk for the diagnosis of ARDS.

METHODS

Retrospective cohort study of critically ill patients admitted between July 2017 and December 2018 at an academic medical center in Columbus, Ohio. The primary outcome was the association of patients with malignancy and the diagnosis of ARDS in a multivariable logistic regression model with covariables selected a priori informed through the construction of a directed acyclic graph.

RESULTS

412 ARDS cases were identified with 166 of those patients having active cancer. There was an association between cancer and ARDS, with an odds ratio (OR) of 1.55 (95% CI 1.26-1.92, P < 0.001). When adjusted for our pre-specified confounding variables, the association remained statistically significant (OR 1.57, 95% CI 1.15-2.13, P = 0.004). In an unadjusted pre-specified subgroup analysis, hematologic malignancy (OR 1.81, 95% CI 1.30-2.53, P < 0.001) was associated with increased odds of developing ARDS while non-metastatic solid tumors (OR 0.51, 95% CI 0.31-0.85, P = 0.01) had statistically significant negative association. Cancer patients with ARDS had a significantly higher ICU (70.5% vs 39.8%, P < 0.001) and hospital (72.9% vs 40.7%, P < 0.001) mortality compared to ARDS patients without active malignancy.

CONCLUSION

In this single center retrospective cohort study, cancer was found to be an independent risk factor for the diagnosis of ARDS in critically ill patients. To our knowledge, we are the first report an independent association between cancer and ARDS in critically ill patients.

The Reality of Critical Cancer Patients in a Polyvalent Intensive Care Unit

Background and objective With the increasing incidence of cancer and the rise in the survival rates of cancer patients, more and more oncological candidates are being considered for admission to intensive care units (ICU). Several studies have demonstrated no difference in the outcomes of cancer patients compared to non-cancer patients. Our study aimed to describe and analyze the outcomes related to cancer patients in a polyvalent ICU. Methods We conducted a retrospective study of consecutive oncological patients admitted to a polyvalent ICU (2013-2017). Cox model and receiver operating characteristic (ROC) curve analysis were performed to analyze the results. Results A total of 236 patients were included in the study; the mean age of the patients was 53.5 ± 15.3 years, and 65% of them were male. The main cancer types were those related to the central nervous system (CNS; 31%), as well as gastrointestinal (18%), genitourinary (17%), and hematological (15%). Curative/diagnostic surgeries (49%) and sepsis/septic shock (17%) were the main reasons for admission. The Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scores in hematological patients vs. solid tumors were as follows: 30 vs. 20 and 63 vs. 38, respectively (p<0.005). Vasopressors, invasive mechanical ventilation (IMV), and renal replacement therapy (RRT) were used more widely in hematological patients compared to solid-tumor patients. Length of stay was longer in hematological patients vs. solid-tumor patients (12.8 vs. 7 days, p=0.002). The median overall survival in hematological patients was one month and that in solid-tumor patients was 5.8 months (p<0.005). The survival rate at six months was better than described in the existing literature (48 vs. 32.4%). Conclusion Both SAPS II and APACHE II scores were reasonably accurate in predicting mortality, demonstrating their value in cancer patients.

Low fluid intake volume during the first 24 h and persistent negative fluid balance from the second day are associated with favorable prognosis for patients with sepsis

For patients with sepsis and septic shock, it remains controversial when to restrict fluid intake and achieve a negative fluid balance. The present study aimed to evaluate the effects of the fluid intake volume during the first 24 h as well as fluid balance for 7 days on the prognosis of sepsis or septic shock. A total of 337 patients diagnosed with sepsis or septic shock at Ruijin Hospital (Shanghai, China) were enrolled in the present retrospective study. Patients with a low fluid intake volume during the first 24 h (fluid intake, 28.1±10.6 ml/kg) had lower in-hospital mortality rates (18.0 vs. 27.3%, P=0.043) and a shorter duration of mechanical ventilation [0 (0-6) vs. 3 (0-11), P=0.025] than the high-fluid volume intake group (62.6±17.6 ml/kg). Furthermore, survivors exhibited a daily negative net fluid balance from the second day (48 h), whereas non-survivors had a daily positive net fluid balance for 7 days, where fluid balance volumes were significantly lower in survivors compared with those in non-survivors. Finally, binary logistic regression analysis was used to determine whether the mean daily fluid balance (P<0.001) and the Acute Physiologic and Chronic Health Evaluation II score (P=0.048) were independent prognostic factors for patients with sepsis or septic shock. It was indicated that a low fluid intake volume during the first 24 h and a persistent negative fluid balance from the second day were associated with favorable outcomes. The mean daily fluid balance was an independent prognostic factor or patients with sepsis or septic shock.

A-qCPR risk score screening model for predicting 1-year mortality associated with hospice and palliative care in the emergency department

BACKGROUND

Evaluating the need for palliative care and predicting its mortality play important roles in the emergency department.

AIM

We developed a screening model for predicting 1-year mortality.

DESIGN

A retrospective cohort study was conducted to identify risk factors associated with 1-year mortality. Our risk scores based on these significant risk factors were then developed. Its predictive validity performance was evaluated using area under receiving operating characteristic analysis and leave-one-out cross-validation.

SETTING AND PARTICIPANTS

Patients aged 15 years or older were enrolled from June 2015 to May 2016 in the emergency department.

RESULTS

We identified five independent risk factors, each of which was assigned a number of points proportional to its estimated regression coefficient: age (0.05 points per year), qSOFA ⩾ 2 (1), Cancer (4), Eastern Cooperative Oncology Group Performance Status score ⩾ 2 (2), and Do-Not-Resuscitate status (3). The sensitivity, specificity, positive predictive value, and negative predictive value of our screening tool given the cutoff larger than 3 points were 0.99 (0.98-0.99), 0.31 (0.29-0.32), 0.26 (0.24-0.27), and 0.99 (0.98-1.00), respectively. Those with screening scores larger than 9 points corresponding to 64.0% (60.0-67.9%) of 1-year mortality were prioritized for consultation and communication. The area under the receiving operating characteristic curves for the point system was 0.84 (0.83-0.85) for the cross-validation model.

CONCLUSIONS

A-qCPR risk scores provide a good screening tool for assessing patient prognosis. Routine screening for end-of-life using this tool plays an important role in early and efficient physician-patient communications regarding hospice and palliative needs in the emergency department.

Characteristics and clinical subtypes of cancer patients in the intensive care unit: a retrospective observational study for two large databases

Background

Previous studies have reported very different mortality rates among cancer patients in the intensive care unit (ICU), implying different clinical subtypes. We aimed to reveal the clinical subtypes and demonstrate the importance of segregating the patients in clinical research, and to report the ICD-level mortality of cancer patients in the ICU.

Methods

Two ICU databases (MIMIC-III and eICU) were utilized to identify cancer patients. Mortality based on ICD-level diagnoses were calculated, and K-means clustering was used to identify different clinical subtypes in the MIMIC database. Clinical characteristics and outcomes were compared among subtypes, and the calibration of SAPS II and APACHE IV among different subtypes was evaluated.

Results

In total, 6,505 (13.8%) cancer patients of the MIMIC database and 7,351 (4.9%) ones in eICU database, were enrolled in the study. Metastasis involving pleura, metastasis involving the liver, and acute myeloid leukemia were in the top 5 diagnoses with the highest mortality in both databases. Clinical subtypes identified by K-means clustering were closely associated with admission type (elective or emergency) and clinical service provider (surgical or medical). In a four-cluster pattern, nearly all patients in the first cluster were elective admissions (99.1%), whereas in the rest of the clusters, most were emergency admissions (93.7%). Most surgical patients were in the 1+2 clusters (92.0%) and most medical patients were in the 3+4 clusters (93.5%). Most characteristics and outcomes as well as the calibration of SAPS II and APACHE IV scoring systems were significantly different among clinical subtypes.

Conclusions

Different clinical subtypes can be well identified by admission type and clinical service provider among ICU patients with cancer. Caution should be exercised when considering these patients as a whole population both in clinical practice and research. Moreover, APACHE IV has better calibration than SAPS II for cancer patients at low risk of mortality in the ICU.

Prevalence and Impact of Vitamin D Deficiency in Critically Ill Cancer Patients Admitted to the Intensive Care Unit

Vitamin D deficiency is frequent in cancer patients and a risk factor for morbidity and mortality during critical illness. This single-center retrospective study analyzed 25-hydroxyvitamin D levels in critically ill cancer patients (n = 178; hematologic, n = 108; solid, n = 70) enrolled in a prospective ICU registry. The primary analysis was the prevalence of vitamin D deficiency (<20 ng/mL) and the severe deficiency (≤12 ng/mL). Secondary analyses included risk factors for vitamin D deficiency and its impact on ICU, hospital, and 1-year mortality. The prevalence of vitamin D deficiency and severe deficiency was 74% (95% CI: 67-80%) and 54% (95% CI: 47-61%). Younger age, relapsed/refractory disease, and a higher sepsis-related organ failure assessment (SOFA) score were independent risk factors for vitamin D deficiency (p < 0.05). After adjusting for relapsed/refractory disease, infection, the SOFA score, and the early need for life-supporting interventions, severe vitamin D deficiency was an independent predictor of hospital mortality (OR: 2.21, 95% CI: 1.03-4.72, p = 0.04) and 1-year mortality (OR: 3.40, 95% CI: 1.50-7.71, p < 0.01), but not of ICU mortality. Conclusion: Vitamin D deficiency is common in critically ill cancer patients requiring ICU admission, but its impact on short-term mortality in this group is uncertain. The observed association of severe vitamin D deficiency with the post-ICU outcome warrants clinical consideration and further study.

Development and validation of the VitaL CLASS score to predict mortality in stage IV solid cancer patients with septic shock in the emergency department: a multi-center, prospective cohort study

BACKGROUND

Clinical decision-making of invasive high-intensity care for critically ill stage IV cancer patients in the emergency department (ED) is challenging. A reliable and clinically available prognostic score for advanced cancer patients with septic shock presented at ED is essential to improve the quality of intensive care unit care. This study aimed to develop a new prognostic score for advanced solid cancer patients with septic shock available early in the ED and to compare the performance to the previous severity scores.

METHODS

This multi-center, prospective cohort study included consecutive adult septic shock patients with stage IV solid cancer. A new scoring system for 28-day mortality was developed and validated using the data of development (January 2016 to December 2017; n = 469) and validation sets (January 2018 to June 2019; n = 428). The developed score's performance was compared to that of the previous severity scores.

RESULTS

New scoring system for 28-day mortality was based on six variables (score range, 0-8): vital signs at ED presentation (respiratory rate, body temperature, and altered mentation), lung cancer type, and two laboratory values (lactate and albumin) in septic shock (VitaL CLASS). The C-statistic of the VitaL CLASS score was 0.808 in the development set and 0.736 in the validation set, that is superior to that of the Sequential Organ Failure Assessment score (0.656, p = 0.01) and similar to that of the Acute Physiology and Chronic Health Evaluation II score (0.682, p = 0.08). This score could identify 41% of patients with a low-risk group (observed 28-day mortality, 10.3%) and 7% of patients with a high-risk group (observed 28-day mortality, 73.3%).

CONCLUSIONS

The VitaL CLASS score could be used for both risk stratification and as part of a shared clinical decision-making strategy for stage IV solid cancer patients with septic shock admitting at ED within several hours.

Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis

BACKGROUND

Surgical resection is the major way to cure pancreatic ductal adenocarcinoma (PDAC). However, this operation is complex, and the peri-operative risk is high, making patients more likely to be admitted to the intensive care unit (ICU). Therefore, establishing a risk model that predicts admission to ICU is meaningful in preventing patients from post-operation deterioration and potentially reducing socio-economic burden.

METHODS

We retrospectively collected 120 clinical features from 1242 PDAC patients, including demographic data, pre-operative and intra-operative blood tests, in-hospital duration, and ICU status. Machine learning pipelines, including Supporting Vector Machine (SVM), Logistic Regression, and Lasso Regression, were employed to choose an optimal model in predicting ICU admission. Ordinary least-squares regression (OLS) and Lasso Regression were adopted in the correlation analysis of post-operative bleeding, total in-hospital duration, and discharge costs.

RESULTS

SVM model achieved higher performance than the other two models, resulted in an AU-ROC of 0.80. The features, such as age, duration of operation, monocyte count, and intra-operative partial arterial pressure of oxygen (PaO2), are risk factors in the ICU admission. The protective factors include RBC count, analgesic pump dexmedetomidine (DEX), and intra-operative maintenance of DEX. Basophil percentage, duration of the operation, and total infusion volume were risk variables for staying in ICU. The bilirubin, CA125, and pre-operative albumin were associated with the post-operative bleeding volume. The operation duration was the most important factor for discharge costs, while pre-lymphocyte percentage and the absolute count are responsible for less cost.

CONCLUSIONS

We observed that several new indicators such as DEX, monocyte count, basophil percentage, and intra-operative PaO2 showed a good predictive effect on the possibility of admission to ICU and duration of stay in ICU. This work provided an essential reference for indication in advance to PDAC operation.

Emergency laparotomy in the older patient: factors predictive of 12-month mortality-Salford-POPS-GS. An observational study

INTRODUCTION

Although high rates of in-hospital mortality have been described in older patients undergoing emergency laparotomy (EL), less is known about longer-term outcomes in this population. We describe factors present at the time of hospital admission that influence 12-month survival in older patients.

METHODS

Observational study of patients aged 75 years and over, who underwent EL at our hospital between 8th September 2014 and 30th March 2017.

RESULTS

113 patients were included. Average age was 81.9 ± 4.7 years, female predominance (60/113), 3 (2.6%) lived in a care home, 103 (91.2%) and 79 (69.1%) were independent of personal and instrumental activities of daily living (ADLs) and 8 (7.1%) had cognitive impairment. Median length of stay was 16 days ± 29.9 (0-269); in-hospital mortality 22.1% (25/113), post-operative 30-day, 90-day and 12-month mortality rates 19.5% (22), 24.8% (28) and 38.9% (44). 30-day and 12-month readmission rates 5.7% (5/88) and 40.9% (36). 12-month readmission was higher in frail patients, using the Clinical Frailty Scale (CFS) score (64% 5-8 vs 31.7% 1-4, p = 0.006). Dependency for personal ADLs (6/10 (60%) dependent vs. 38/103 (36.8%) independent, p = 0.119) and cognitive impairment (5/8 (62.5%) impaired vs. 39/105 (37.1%) no impairment, p = 0.116) showed a trend towards higher 12-month mortality. On multivariate analysis, 12-month mortality was strongly associated with CFS 5-9 (HR 5.0403 (95% CI 1.719-16.982) and ASA classes III-V (HR 2.704 95% CI 1.032-7.081).

CONCLUSION

Frailty and high ASA class predict increased mortality at 12 months after emergency laparotomy. We advocate early engagement of multi-professional teams experienced in perioperative care of older patients.

Oncologic Emergencies: Traditional and Contemporary

The recognition and management of oncologic emergencies are becoming increasingly relevant in the intensive care unit, particularly in the era of novel biologic therapies. Early recognition and multidisciplinary collaboration are essential to improving patient outcomes. This article discusses aspects of diagnosis and management for important malignancy-associated emergencies.

Impact of early ICU admission for critically ill cancer patients: Post-hoc analysis of a prospective multicenter multinational dataset

OBJECTIVES

Early intensive care unit (ICU) admission, in Critically Ill Cancer Patients (CICP), is believed to have contributed to the prognostic improvement of critically ill cancer patients. The primary objective of this study was to assess the association between early ICU admission and hospital mortality in CICP.

DESIGN

Retrospective analysis of a prospective multicenter dataset. Early admission was defined as admission in the ICU < 24 h of hospital admission. We assessed the association between early ICU admission and hospital mortality in CICP via survival analysis and propensity score matching.

RESULTS

Of the 1011patients in our cohort, 1005 had data available regarding ICU admission timing and were included. Overall, early ICU admission occurred in 455 patients (45.3%). Crude hospital mortality in patients with early and delayed ICU admission was 33.6% (n = 153) vs. 43.1% (n = 237), respectively (P = 0.02). After adjustment for confounders, early compared to late ICU admission was not associated with hospital mortality (HR 0.92; 95%CI 0.76-1.11). After propensity score matching, hospital mortality did not differ between patients with early (35.2%) and late (40.6%) ICU admission (P = 0.13). In the matched cohort, early ICU admission was not associated with mortality after adjustment on SOFA score (HR 0.89; 95%CI 0.71-1.12). Similar results were obtained after adjustment for center effect.

CONCLUSION

In this cohort, early ICU admission was not associated with a better outcome after adjustment for confounder and center effect. The uncertainty with regard to the beneficial effect of early ICU on hospital mortality suggests the need for an interventional study.

Impact of early ICU admission on outcome of critically ill and critically ill cancer patients: A systematic review and meta-analysis

OBJECTIVE

Prognostic impact of early ICU admission remains controversial. The aim of this review was to investigate the impact of early ICU admission in the general ICU population and in critically ill cancer patients and to report level of evidences of this later.

METHODS

Systematic review and meta-analysis performed on articles published between 1970 and 2017. Two authors extracted data. Influence of early ICU admission on mortality is reported as Risk Ratio (95%CI) using both fixed and random-effects model.

DATA SYNTHESIS

For general ICU population, 31 studies reporting on 73,213 patients were included (including 66,797 patients with early ICU admission) and for critically ill cancer patients 14 studies reporting on 2414 patients (including 1272 with early ICU admission) were included. Early ICU admission was associated with decreased mortality using a random effect model (RR 0.65; 95% confidence interval 0.58-0.73; I² = 66%) in overall ICU population as in critically ill cancer patients (RR 0.69; 95% confidence interval 0.52-0.90; I² = 85%). To explore heterogeneity, a meta-regression was performed. Characteristics of the trials (prospective vs. retrospective, monocenter vs. multicenter) had no impact on findings. Publication after 2010 (median publication period) was associated with a lower effect of early ICU admission (estimate 0.37; 95%CI 0.14-0.60; P = 0.002) in the general ICU population. A significant publication bias was observed.

CONCLUSION

Theses results suggest that early ICU admission is associated with decreased mortality in the general ICU population and in CICP. These results were however obtained from high risk of bias studies and a high heterogeneity was noted. Systematic review registration: PROSPERO 2018 CRD42018094828.

Characteristics and short-term outcomes of patients with esophageal cancer with unplanned intensive care unit admissions: a retrospective cohort study

OBJECTIVE

To depict the clinical presentation and outcomes of a cohort of critically ill patients with esophageal cancer.

METHODS

We carried out a multicenter retrospective study that included patients with esophageal cancer admitted to intensive care units with acute illness between September 2009 and December 2017. We collected the demographic and clinical characteristics of all included patients, as well as organ-support measures and hospital outcomes. We performed logistic regression analysis to identify independent factors associated with in-hospital mortality.

RESULTS

Of 226 patients included in the study, 131 (58.0%) patients died before hospital discharge. Squamous cell carcinoma was more frequent than adenocarcinoma, and 124 (54.9%) patients had metastatic cancer. The main reasons for admission were sepsis/septic shock and acute respiratory failure. Mechanical ventilation (OR = 6.18; 95%CI 2.86 - 13.35) and metastatic disease (OR = 7.10; 95%CI 3.35 - 15.05) were independently associated with in-hospital mortality.

CONCLUSION

In this cohort of patients with esophageal cancer admitted to intensive care units with acute illness, the in-hospital mortality rate was very high. The requirement for invasive mechanical ventilation and metastatic disease were independent prognostic factors and should be considered in discussions about the short-term outcomes of these patients.

Murine Pancreatic Cancer Alters T Cell Activation and Apoptosis and Worsens Survival After Cecal Ligation and Puncture

Patients with cancer who develop sepsis have a markedly higher mortality than patients who were healthy prior to the onset of sepsis. Potential mechanisms underlying this difference have previously been examined in two preclinical models of cancer followed by sepsis. Both pancreatic cancer/pneumonia and lung cancer/cecal ligation and puncture (CLP) increase murine mortality, associated with alterations in lymphocyte apoptosis and intestinal integrity. However, pancreatic cancer/pneumonia decreases lymphocyte apoptosis and increases gut apoptosis while lung cancer/CLP increases lymphocyte apoptosis and decreases intestinal proliferation. These results cannot distinguish the individual roles of cancer versus sepsis since different models of each were used. We therefore created a new cancer/sepsis model to standardize each variable. Mice were injected with a pancreatic cancer cell line and 3 weeks later cancer mice and healthy mice were subjected to CLP. Cancer septic mice had a significantly higher 10-day mortality than previously healthy septic mice. Cancer septic mice had increased CD4 T cells and CD8 T cells, associated with decreased CD4 T cell apoptosis 24 h after CLP. Further, splenic CD8+ T cell activation was decreased in cancer septic mice. In contrast, no differences were noted in intestinal apoptosis, proliferation, or permeability, nor were changes noted in local bacterial burden, renal, liver, or pulmonary injury. Cancer septic mice thus have consistently reduced survival compared with previously healthy septic mice, independent of the cancer or sepsis model utilized. Changes in lymphocyte apoptosis are common to cancer model and independent of sepsis model, whereas gut apoptosis is common to sepsis model and independent of cancer model. The host response to the combination of cancer and sepsis is dependent, at least in part, on both chronic comorbidity and acute illness.

Intensive Care Outcomes of Patients after High Dose Chemotherapy and Subsequent Autologous Stem Cell Transplantation: A Retrospective, Single Centre Analysis

High dose chemotherapy (HDT) followed by autologous peripheral blood stem cell transplantation (ASCT) is standard of care including a curative treatment option for several cancers. While much is known about the management of patients with allogenic SCT at the intensive care unit (ICU), data regarding incidence, clinical impact, and outcome of critical illness following ASCT are less reported. This study included 256 patients with different cancer entities. Median age was 56 years (interquartile ranges (IQR): 45–64), and 67% were male. One-year survival was 89%; 15 patients (6%) required treatment at the ICU following HDT. The main reason for ICU admission was septic shock (80%) with the predominant focus being the respiratory tract (53%). Three patients died, twelve recovered, and six (40%) were alive at one-year, resulting in an immediate treatment-related mortality of 1.2%. Independent risk factors for ICU admission were age (odds ratio (OR) 1.05; 95% confidence interval (CI) 1.00–1.09; p = 0.043), duration of aplasia (OR: 1.37; CI: 1.07–1.75; p = 0.013), and Charlson comorbidity score (OR: 1.64; CI: 1.20–2.23; p = 0.002). HDT followed by ASCT performed at an experienced centre is generally associated with a low risk for treatment related mortality. ICU treatment is warranted mainly due to infectious complications and has a strong positive impact on intermediate-term survival.

Vasopressin Versus Norepinephrine for the Management of Septic Shock in Cancer Patients: The VANCS II Randomized Clinical Trial

OBJECTIVES

Previous trials suggest that vasopressin may improve outcomes in patients with vasodilatory shock. The aim of this study was to evaluate whether vasopressin could be superior to norepinephrine to improve outcomes in cancer patients with septic shock.

DESIGN

Single-center, randomized, double-blind clinical trial, and meta-analysis of randomized trials.

SETTING

ICU of a tertiary care hospital.

PATIENTS

Two-hundred fifty patients 18 years old or older with cancer and septic shock.

INTERVENTIONS

Patients were assigned to either vasopressin or norepinephrine as first-line vasopressor therapy. An updated meta-analysis was also conducted including randomized trials published until October 2018.

MEASUREMENTS AND MAIN RESULTS

The primary outcome was all-cause mortality at 28 days after randomization. Prespecified secondary outcomes included 90-days all-cause mortality rate; number of days alive and free of advanced organ support at day 28; and Sequential Organ Failure Assessment score 24 hours and 96 hours after randomization. We also measure the prevalence of adverse effects in 28 days. A total of 250 patients were randomized. The primary outcome was observed in 71 patients (56.8%) in the vasopressin group and 66 patients (52.8%) in the norepinephrine group (p = 0.52). There were no significant differences in 90-day mortality (90 patients [72.0%] and 94 patients [75.2%], respectively; p = 0.56), number of days alive and free of advanced organ support, adverse events, or Sequential Organ Failure Assessment score.

CONCLUSIONS

In cancer patients with septic shock, vasopressin as first-line vasopressor therapy was not superior to norepinephrine in reducing 28-day mortality rate.

EPICANCER-Cancer Patients Presenting to the Emergency Departments in France: A Prospective Nationwide Study

Background: We aimed to estimate the prevalence of cancer patients who presented to Emergency Departments (EDs), report their chief complaint and identify the predictors of 30-day all-cause mortality. Patients and methods: we undertook a prospective, cross-sectional study during three consecutive days in 138 EDs and performed a logistic regression to identify the predictors of 30-day mortality in hospitalized patients. Results: A total of 1380 cancer patients were included. The prevalence of cancer patients among ED patients was 2.8%. The most frequent reasons patients sought ED care were fatigue (16.6%), dyspnea (16.3%), gastro-intestinal disorders (15.1%), trauma (13.0%), fever (12.5%) and neurological disorders (12.5%). Patients were admitted to the hospital in 64.9% of cases, of which 13.4% died at day 30. Variables independently associated with a higher mortality at day 30 were male gender (Odds Ratio (OR), 1.63; 95% CI, 1.04–2.56), fatigue (OR, 1.65; 95% CI, 1.01–2.67), poor performance status (OR, 3.00; 95% CI, 1.87–4.80), solid malignancy (OR, 3.05; 95% CI, 1.26–7.40), uncontrolled malignancy (OR, 2.27; 95% CI, 1.36–3.80), ED attendance for a neurological disorder (OR, 2.38; 95% CI, 1.36–4.19), high shock-index (OR, 1.80; 95% CI, 1.03–3.13) and oxygen therapy (OR, 2.68; 95% CI, 1.68–4.29). Conclusion: Cancer patients showed heterogeneity among their reasons for ED attendance and a high need for hospitalization and case fatality. Malignancy and general health status played a major role in the patient outcomes. This study suggests that the emergency care of cancer patients may be complex. Thus, studies to assess the impact of a dedicated oncology curriculum for ED physicians are warranted.

Lactated Ringer's Versus 4% Albumin on Lactated Ringer's in Early Sepsis Therapy in Cancer Patients: A Pilot Single-Center Randomized Trial

OBJECTIVE

To investigate the effects of the administration of 4% albumin on lactated Ringer's, when compared with lactated Ringer's alone, in the early phase of sepsis in cancer patients.

DESIGN

Single-center, randomized, double-blind, controlled-parallel trial.

SETTING

A tertiary care university cancer hospital.

PATIENTS

Cancer patients with severe sepsis or septic shock.

INTERVENTIONS

Between October 2014 and December 2016, patients were randomly assigned to receive either bolus of albumin in a lactated Ringer's solution or lactated Ringer's solution alone during the first 6 hours of fluid resuscitation after intensive care medicine (ICU) admission. Primary outcome was defined as death from any cause at 7 days. Secondary outcomes were defined as death from any cause within 28 days, change in Sequence Organ Failure Assessment scores from baseline to day 7, days alive and free of mechanical ventilation, days alive and free of vasopressor, renal replacement therapy during ICU stay, and length of ICU and hospital stay.

MEASUREMENTS AND MAIN RESULTS

A total of 360 patients were enrolled in the trial. At 7 days, 46 of 180 patients (26%) died in the albumin group and 40 of 180 (22%) died in the lactated Ringer's group (p = 0.5). At 28 days, 96 of 180 patients (53%) died in the albumin group and 83 of 180 (46%) died in the lactated Ringer's group (p = 0.2). No significant differences in secondary outcomes were observed.

CONCLUSIONS

Adding albumin to early standard resuscitation with lactated Ringer's in cancer patients with sepsis did not improve 7-day survival.

Mortality Rate, Demographics, and Clinical Attributes of Patients Dying in the Intensive Care Unit of a Comprehensive Cancer Center in Jordan: A Descriptive Study

Very little is known about the provision of or the need for palliative care in the Middle East, including Jordan. This study investigated the mortality rate, demographics, and clinical attributes of patients with cancer who had died in the intensive care unit (ICU) of a national cancer center over a 3-year period in Jordan. We reviewed the records of 661 patients who had died and found that the majority of the people were terminally ill at the time of admission (had metastatic cancer, multisystem organ dysfunction, and seriously ill). This approach differs from the usual practice worldwide in which it is uncommon to admit patients with cancer to the ICU at the end of life. Improving end-of-life care in the ICUs in Jordan requires further exploration of the cultural context in which end-of-life care practice occurs in Jordan and developing a palliative care approach that fit with the Islamic and Arabic culture.

Epidemiology and prognosis of patients with a history of cancer admitted to intensive care. A multicenter observational study

OBJECTIVE

To assess the epidemiology and outcome at discharge of cancer patients requiring admission to the Intensive Care Unit (ICU).

DESIGN

A descriptive observational study was made of data from the ENVIN-HELICS registry, combined with specifically compiled variables. Comparisons were made between patients with and without neoplastic disease, and groups of cancer patients with a poorer outcome were identified.

SETTING

Intensive Care Units participating in ENVIN-HELICS 2018, with voluntary participation in the oncological registry.

PATIENTS

Subjects admitted during over 24hours and diagnosed with cancer in the last 5 years.

PRIMARY ENDPOINTS

The general epidemiological endpoints of the ENVIN-HELICS registry and cancer-related variables.

RESULTS

Of the 92 ICUs with full data, a total of 11,796 patients were selected, of which 1786 (15.1%) were cancer patients. The proportion of cancer patients per Unit proved highly variable (1-48%). In-ICU mortality was higher among the cancer patients than in the non-oncological subjects (12.3% versus 8.9%; P<.001). Elective postoperative (46.7%) or emergency admission (15.3%) predominated in the cancer patients. Patients with medical disease were in more serious condition, with longer stay and greater mortality (27.5%). The patients admitted in ICU due to nonsurgical disease related to cancer exhibited the highest mortality rate (31.4%).

CONCLUSIONS

Great variability was recorded in the percentage of cancer patients in the different ICUs. A total of 46.7% of the patients were admitted after undergoing scheduled surgery. The highest mortality rate corresponded to patients with medical disease (27.5%), and to those admitted due to cancer-related complications (31.4%).

Survival of Critically Ill Oncologic Patients Requiring Invasive Ventilatory Support: A Prospective Comparative Cohort Study With Nononcologic Patients

PURPOSE

Cancer is in the process of changing to become a chronic disease; therefore, an increasing number of oncologic patients (OPs) are being admitted to intensive care units (ICUs) for supportive care of disease or therapy-related complications. We compare the short- and long-term outcomes of critically ill mechanically ventilated OPs with those of their nononcologic counterparts.

PATIENTS AND METHODS

We performed a prospective study of patients admitted to our ICU between October 2017 and February 2019. Demographic, physiologic, laboratory, clinical, and treatment data were obtained. The primary outcome was survival at 28 days and at the end of the follow-up period. Secondary outcomes were survival according to acute severity scoring (Acute Physiology and Chronic Health Evaluation II score), Eastern Cooperative Oncology Group (ECOG) performance status, and Charlson comorbidity index.

RESULTS

A total of 1,490 patients were admitted during the study period; 358 patients (24%) were OPs, and 100 of these OPs were supported with mechanical ventilation. Seventy-three percent of OPs had an ECOG performances status of 0 or 1, and 90% had solid tumors. Reason for admission to the ICU was postoperative admission in 44 patients and neutropenic infection in 10 patients. The follow-up period was 148 days (range, 42 to 363 days). Survival at 28 days was similar between OPs and nononcologic patients and associated with the Acute Physiology and Chronic Health Evaluation II score. However, long-term survival was lower in OPs compared with nononcologic patients (52% v 76%, respectively; P < .001) and associated with poor ECOG performance status.

CONCLUSION

Short-term survival of critically ill, mechanically ventilated OPs is similar to that of their nononcologic counterparts and is determined by the severity of the critical illness.

Is haemoglobin below 7.0 g/dL an optimal trigger for allogenic red blood cell transfusion in patients admitted to intensive care units? A meta-analysis and systematic review

OBJECTIVES

We employed a comprehensive systematic review and meta-analysis to assess benefits and risks of a threshold of haemoglobin level below 7 g/dL versus liberal transfusion strategy among critically ill patients, and even patients with septic shock.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

We performed systematical searches for relevant randomised controlled trials (RCTs) in the Cochrane Library, EMBASE and PubMed databases up to 1 September 2019.

ELIGIBILITY CRITERIA

RCTs among adult intensive care unit (ICU) patients comparing 7 g/dL as restrictive strategy with liberal transfusion were incorporated.

DATA EXTRACTION AND SYNTHESIS

The clinical outcomes, including short-term mortality, length of hospital stay, length of ICU stay, myocardial infarction (MI) and ischaemic events, were screened and analysed after data collection. We applied odds ratios (ORs) to analyse dichotomous outcomes and standardised mean differences (SMDs) to analyse continuous outcomes with fixed or random effects models based on heterogeneity evaluation for each outcome.

RESULTS

Eight RCTs with 3415 patients were included. Compared with a more liberal threshold, a red blood cell (RBC) transfusion threshold <7 g/dL haemoglobin showed no significant difference in short-term mortality (OR: 0.90, 95% CI: 0.67 to 1.21, p=0.48, I²=53%), length of hospital stay (SMD: -0.11, 95% CI: -0.30 to 0.07, p=0.24, I²=71%), length of ICU stay (SMD: -0.03, 95% CI: -0.14 to 0.08, p=0.54, I²=0%) or ischaemic events (OR: 0.80, 95% CI: 0.43 to 1.48, p=0.48, I²=51%). However, we found that the incidence of MI (OR: 0.54, 95% CI: 0.30 to 0.98, p=0.04, I²=0%) was lower in the group with the threshold <7 g/dL than that with the more liberal threshold.

CONCLUSIONS

An RBC transfusion threshold <7 g/dL haemoglobin is incapable of decreasing short-term mortality in ICU patients according to currently published evidences, while it might have potential role in reducing MI incidence.

One-year survival in patients with solid tumours discharged alive from the intensive care unit after unplanned admission: A retrospective study

PURPOSE

Outcomes in cancer patients after unplanned ICU admission was reassessed.

METHODS

retrospective cohort of patients with solid tumours admitted to ICU over a 10 years period.

RESULTS

622 patients (age 62 [53-70]) were analysed. The most common primary sites of cancer were lung (n = 133; 21.4%) and digestive tract (n = 126; 20.2%) The ICU mortality rate was 22.2% (n = 138). Among 470 ICU survivors, the 1-year mortality was 41.3% (95% CI, 36-45.9) (n = 167). Factors independently associated with 1-year mortality were ICU admission after 2010 (HR 0.53 (0.37-0.76), p < .001), disease status (respectively, HR = 1.88 (1.0.2-3.45), p = .002) for locally advanced cancer and HR = 2.23 (1.35-3.67), p = .003) for metastatic cancer), poor performance status (HR = 1.58 (1.08-2.31), p = .019), newly diagnosed cancer at ICU admission (HR = 2.02 (1.28-3.20), p = .003), inability to receive oncologic treatment after ICU discharge (HR = 5.34 (3.49-8.18), p < .001) and decision to withhold life-sustaining treatment during ICU stay (HR = 2.34 (1.50-3.65), p < .001).

CONCLUSIONS

Among the factors associated with one-year mortality after ICU discharge, the possibility of receiving oncologic treatment after ICU discharge seems crucial.

Acute and Chronic Respiratory Failure in Cancer Patients

In 2016, there was an estimated 1.8 million new cases of cancer diagnosed in the United States. Remarkable advances have been made in cancer therapy and the 5-year survival has increased for most patients affected by malignancy. There are growing numbers of patients admitted to intensive care units (ICU) and up to 20% of all patients admitted to an ICU carry a diagnosis of malignancy. Respiratory failure remains the most common reason for ICU admission and remains the leading causes of death in oncology patients. There are many causes of respiratory failure in this population. Pneumonia is the most common cause of respiratory failure, yet there are many causes of respiratory insufficiency unique to the cancer patient. These causes are often a result of immunosuppression, chemotherapy, radiation treatment, or hematopoietic stem cell transplant (HCT). Treatment is focused on supportive care and specific therapy for the underlying cause of respiratory failure. Noninvasive modalities of respiratory support are available; however, careful patient selection is paramount as indiscriminate use of noninvasive positive pressure ventilation is associated with a higher mortality if mechanical ventilation is later required. Historically, respiratory failure in the cancer patient had a grim prognosis. Outcomes have improved over the past 20 years. Survivors are often left with significant disability.

Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients

Background and aims

To evaluate and validate four severity-of-illness scores, acute physiology and chronic health evaluation IV (APACHE IV), simplified acute physiology score III (SAPS III), mortality probability models II at 0 hours (MPM0 II), and ICU cancer mortality model (ICMM), in a prospective cohort of critically ill cancer patients.

Materials and methods

Single-center, prospective observational study performed in a 14-bedded combined medical–surgical ICU of a tertiary care cancer center of India, from July 2014 to November 2015. Score performance was judged by discrimination and calibration, using the area under receiver–operating characteristics (ROC) curve and Hosmer–Lemeshow goodness-of-fit test, respectively.

Results

A total of 431 patients were included in the study. Intensive care unit (ICU) and hospital mortality were 37.4% and 41.1%, respectively. The area under ROC curve for APACHE IV, SAPS III, MPM0 II, and ICMM were 0.73, 0.70, 0.67, and 0.67, respectively. Calibration as calculated by Hosmer–Lemeshow analysis type C statistics for APACHE IV, SAPS III, MPM0 II, and ICMM shows good calibration with Chi-square values of 5.32, 9.285, 9.873, and 9.855 and p values of 0.723, 0.319, 0.274, and 0.275, respectively.

Conclusion

All the four models had moderate discrimination and good calibration. However, none of the mortality prediction models could accurately discriminate between survivors and nonsurvivors in our patients.

How to cite this article

Siddiqui SS, Narkhede AM, Kulkarni AP, Prabu NR, Chaudhari HK, Divatia JV, et al. Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients. Indian J Crit Care Med 2020;24(4):263–269.

Sepsis and Septic Shock Definitions in Patients With Cancer Admitted in ICU

INTRODUCTION

In 2016, a new definition of sepsis and septic shock was adopted. Some studies based on the general population demonstrated that the Sequential Organ Failure Assessment (SOFA) score is more accurate than the systemic inflammatory response syndrome (SIRS) criteria to predict hospital mortality of infected patients requiring intensive care.

PATIENTS AND METHOD

We have analyzed all the records of patients with cancer admitted for a suspected infection between January 1, 2013, and December 31, 2016, in our oncological intensive care unit (ICU). Sequential Organ Failure Assessment score and quick SOFA (qSOFA) score as well as SIRS criteria were calculated. We analyzed the accuracy of each score to predict hospital mortality in the setting of the new and old definitions of septic shock.

RESULTS

Our study includes 241 patients with a solid tumor and 112 with a hematological malignancy. The hospital mortality rate is 37% (68% in patients with septic shock according to the new definition and 60% according to old definition) between 2013 and 2016. To predict hospital mortality, the SOFA score has an area under the receiver operating characteristic curve of 0.74 (95% confidence interval [CI], 0.68-0.79), the qSOFA of 0.65 (95% CI, 0.59-0.70), and the SIRS criteria of 0.58 (95% CI, 0.52-0.63). In multivariate analysis, a higher SOFA score or a higher qSOFA score indicates poor prognosis: odds ratio (OR) per 1-point increase by 1.28 (95% CI, 1.18-1.39) and 1.48 (95% CI, 1.04-2.11), respectively. Complete remission is a good prognostic factor for hospital mortality: OR 0.39 (95% CI, 0.22-0.67).

CONCLUSION

The new definition of sepsis and septic shock is applicable in an ICU oncological population with the same reliability as in the general population. The SOFA score is more accurate than qSOFA and SIRS criteria to predict hospital mortality.

Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES)

Background/aim

The present study aimed to define the clinical and laboratory criteria for predicting patients that will not benefit from invasive mechanical ventilation (IMV) treatment and determine the prediction of mortality and prognosis of these critical ill patients.

Materials and methods

The study was designed as an observational, multicenter, prospective, and cross-sectional clinical study. It was conducted by 75 researchers at 41 centers in intensive care units (ICUs) located in various geographical areas of Turkey. It included a total of 1463 ICU patients who were receiving invasive mechanical ventilation (IMV) treatment. A total of 158 parameters were examined via logistic regression analysis to identify independent risk factors for mortality; using these data, the IMV Mortality Prediction Score (IMPRES) scoring system was developed.

Results

The following cut-off scores were used to indicate mortality risk: <2, low risk; 2–5, moderate risk; 5.1–8, high risk; >8, very high risk. There was a 26.8% mortality rate among the 254 patients who had a total IMPRES score of lower than 2. The mortality rate was 93.3% for patients with total IMPRES scores of greater than 8 (P < 0.001).

Conclusion

The present study included a large number of patients from various geographical areas of the country who were admitted to various types of ICUs, had diverse diagnoses and comorbidities, were intubated with various indications in either urgent or elective settings, and were followed by physicians from various specialties. Therefore, our data are more general and can be applied to a broader population. This study devised a new scoring system for decision-making for critically ill patients as to whether they need to be intubated or not and presents a rapid and accurate prediction of mortality and prognosis prior to ICU admission using simple clinical data.

2B4 but not PD-1 blockade improves mortality in septic animals with preexisting malignancy

In addition to its well-known beneficial effects for the treatment of several types of cancer, PD-1 blockade has shown encouraging results in preclinical models of sepsis and in a recent clinical trial in sepsis. Because cancer is the most common comorbidity in septic patients, here we aimed to determine the efficacy of PD-1 checkpoint blockade in the setting of sepsis complicated with preexisting malignancy. In a model of established lung cancer followed by cecal ligation and puncture-induced (CLP-induced) sepsis, PD-1 blockade exhibited no therapeutic effect on sepsis survival. This diminished efficacy of PD-1 blockade in cancer septic animals (septic animals with cancer) was characterized by a reduction in both the quality and quantity of PD-1+ responder cells. Specifically, CD8+ T cells isolated from cancer septic animals exhibited decreased CD28 expression and a reduction in the CXCR5+PD-1+ subset. In addition, flow cytometric analysis of T cells isolated from cancer septic animals revealed 2B4 as another possible checkpoint under these conditions. Administration of anti-2B4 to cancer septic animals significantly improved sepsis survival and was associated with increased T cell costimulatory receptor expression and decreased coinhibitory receptor expression. These results illustrate functions of coinhibitory receptors in the setting of sepsis complicated with cancer.

Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

PURPOSE

To develop and compare the predictive performance of machine-learning algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 days (30-day QALY).

MATERIAL AND METHODS

Six machine-learning algorithms were applied to predict 30-day QALY for 777 patients admitted in a prospective cohort study conducted in Intensive Care Units (ICUs) of two public Brazilian hospitals specialized in cancer care. The predictors were 37 characteristics collected at ICU admission. Discrimination was evaluated using the area under the receiver operating characteristic (AUROC) curve. Sensitivity, 1-specificity, true/false positive and negative cases were measured for different estimated probability cutoff points (30%, 20% and 10%). Calibration was evaluated with GiViTI calibration belt and test.

RESULTS

Except for basic decision trees, the adjusted predictive models were nearly equivalent, presenting good results for discrimination (AUROC curves over 0.80). Artificial neural networks and gradient boosted trees achieved the overall best calibration, implying an accurately predicted probability for 30-day QALY.

CONCLUSIONS

Except for basic decision trees, predictive models derived from different machine-learning algorithms discriminated the QALY risk at 30 days well. Regarding calibration, artificial neural network model presented the best ability to estimate 30-day QALY in critically ill oncologic patients admitted to ICUs.

Impact of systematic advanced care planning in lung cancer patients: A prospective study

BACKGROUND

End-of-life (EOL) communication is crucial, particularly for cancer patients. While advanced care planning is still uncommon, we sought to investigate its impact on care intensity in case of organ failure in lung cancer patients.

METHODS

We prospectively included consecutive lung cancer patients hospitalised at the Grenoble University Hospital, France, between January 1, 2014 and March 31, 2016. Patients could be admitted several times and benefited from advanced care planning based on three care intensities: intensive care, maximal medical care, and exclusive palliative care. Patients' wishes were addressed.

RESULTS

Data of 739 hospitalisations concerning 482 patients were studied. During the three first admissions, 173 (25%) patients developed organ failure, with intensive care proposed to 56 (32%), maximal medical care to 104 (60%), and exclusive palliative care to 13 (8%). Median time to organ failure was 9 days [IQR 25%-75%: 3-13]. All patients benefited from care intensity that was either equal to or lower than the care proposed. Specific wishes were recorded for 158 (91%) patients, with a discussion about EOL conditions held in 116 (73%).

CONCLUSIONS

In case of organ failure, advanced care planning helps provide reasonable care intensity. The role of the patient's wishes as to the proposed care must be further investigated.

CLINICAL TRIAL REGISTRATION

The study was registered at www.ClinicalTrials.gov with the identifier NCT02852629.

Acute kidney injury in critically ill patients with solid tumours

Background

Patients with solid tumours are at risk for acute kidney injury (AKI), however, epidemiological data are limited.

Methods

We conducted a study that included patients with solid tumours admitted to a single-centre intensive care unit (ICU) from January 2011 to December 2015. We analysed factors associated with the occurence of AKI, ICU and Day-90 mortality.

Results

Two-hundred and four patients were included. The incidence of AKI was 59%, chiefly related to sepsis (80%), hypovolaemia (40%) and outflow tract obstruction (17%). Renal replacement therapy was implemented in 12% of the patients, with a hospital mortality of 39%. Independent predictors of AKI were: Simplified Acute Physiological Score II (SAPS II) [odds ratio (OR) 1.05; 95% confidence interval (95% CI) 1.02-1.07; P < 0.001], abdominal or pelvic cancer (OR 2.84; 95% CI 1.35-5.97; P = 0.006), nephrotoxic chemotherapy within the previous 3 months (OR 3.84; 95% CI 1.67-8.84; P = 0.002) and sepsis (OR 2.74; 95% CI 1.30-5.77; P = 0.008). Renal recovery at Day 90 was inversely related to AKI severity. ICU, hospital and Day-90 mortality were 15, 29 and 37%, respectively. Factors independently associated with ICU mortality were: total serum protein (OR per 10 g/L, 0.44; 95% CI 0.23-0.86; P = 0.02) and SAPS II (OR 1.04; 95% CI 1.01-1.07; P = 0.02), while Day-90 mortality was associated with performance status 3-4 (OR 6.59; 95% CI 2.42-18; P < 0.001) and total serum protein (OR 0.60; 95% CI 0.38-0.94; P = 0.02).

Conclusions

AKI in patients with solid tumours was frequent and renal recovery gradually decreased in proportion to AKI severity. However, AKI was not independently associated with a higher short-term mortality.

Past history of stage I/II solid tumor malignancy impacts considerably on sepsis mortality: a propensity score matching analysis from the hellenic sepsis study group

Background

Whether past history of solid stage I/II inactive cancer has an impact on 28-day mortality of sepsis remains unclear. We aimed to determine the impact of history of stage I or II solid tumor malignancy in complete remission the last 3 years on sepsis outcome.

Methods

Using the database of the Hellenic Sepsis Study Group from 1553 patients with sepsis admitted in the ICU, 83 patients with sepsis by Sepsis-3 definition with past-history of stage I/II inactive solid malignancy the last 3 years were depicted. A comparator group of 83 patients fully matched for age, severity, type of infection and comorbidities was selected by propensity score matching.

Results

Mortality after 28 days was 37.3% in the comparator group and 54.2% in the solid tumor stage I/II group (odds ratio for death 1.98; p: 0.030). Following step-wise forward Cox regression analysis, septic shock (hazard ratio 1.80), acute renal injury (hazard ratio 2.06), history of coronary heart disease (hazard ratio 0.36) and history of stage I/II solid tumor malignancy (hazard ratio 1.79) were the only independent variables associated with 28-day mortality. Serum levels of procalcitonin and of soluble urokinase plasminogen activator receptor were similar between the two groups of comparisons.

Conclusions

Past history of stage I/II solid malignancy is an independent risk factor for unfavorable outcome from sepsis the first 28 days.

Surviving Sepsis Campaign: Research Priorities for Sepsis and Septic Shock

OBJECTIVE

To identify research priorities in the management, epidemiology, outcome and underlying causes of sepsis and septic shock.

DESIGN

A consensus committee of 16 international experts representing the European Society of Intensive Care Medicine and Society of Critical Care Medicine was convened at the annual meetings of both societies. Subgroups had teleconference and electronic-based discussion. The entire committee iteratively developed the entire document and recommendations.

METHODS

Each committee member independently gave their top five priorities for sepsis research. A total of 88 suggestions (Supplemental Table 1, Supplemental Digital Content 2, http://links.lww.com/CCM/D636) were grouped into categories by the committee co-chairs, leading to the formation of seven subgroups: infection, fluids and vasoactive agents, adjunctive therapy, administration/epidemiology, scoring/identification, post-intensive care unit, and basic/translational science. Each subgroup had teleconferences to go over each priority followed by formal voting within each subgroup. The entire committee also voted on top priorities across all subgroups except for basic/translational science.

RESULTS

The Surviving Sepsis Research Committee provides 26 priorities for sepsis and septic shock. Of these, the top six clinical priorities were identified and include the following questions: 1) can targeted/personalized/precision medicine approaches determine which therapies will work for which patients at which times?; 2) what are ideal endpoints for volume resuscitation and how should volume resuscitation be titrated?; 3) should rapid diagnostic tests be implemented in clinical practice?; 4) should empiric antibiotic combination therapy be used in sepsis or septic shock?; 5) what are the predictors of sepsis long-term morbidity and mortality?; and 6) what information identifies organ dysfunction?

CONCLUSIONS

While the Surviving Sepsis Campaign guidelines give multiple recommendations on the treatment of sepsis, significant knowledge gaps remain, both in bedside issues directly applicable to clinicians, as well as understanding the fundamental mechanisms underlying the development and progression of sepsis. The priorities identified represent a roadmap for research in sepsis and septic shock.

Factors Associated With Clinical Deterioration Among Patients Hospitalized on the Wards at a Tertiary Cancer Hospital

PURPOSE

Patients hospitalized outside the intensive care unit (ICU) frequently experience clinical deterioration. Little has been done to describe the landscape of clinical deterioration among inpatients with cancer. We aimed to describe the frequency of clinical deterioration among patients with cancer hospitalized on the wards at a major academic hospital and to identify independent risk factors for clinical deterioration among these patients.

METHODS

This was a retrospective cohort study at a 1,300-bed urban academic hospital with a 138-bed inpatient cancer center. We included consecutive admissions to the oncology wards between January 1, 2014, and June 30, 2017. We defined clinical deterioration as the composite of ward death and transfer to the ICU.

RESULTS

We evaluated 21,219 admissions from 9,058 patients. The composite outcome occurred during 1,945 admissions (9.2%): 1,365 (6.4%) had at least one ICU transfer, and 580 (2.7%) involved ward death. Logistic regression identified several independent risk factors for clinical deterioration, including the following: age (odds ratio [OR], 1.33 per decade; 95% CI, 1.07 to 1.67), male sex (OR, 1.15; 95% CI, 1.05 to 1.33), comorbidities, illness severity (OR, 1.11; 95% CI, 1.10 to 1.13), emergency admission (OR, 1.45; 95% CI, 1.26 to 1.67), hospitalization on particular wards (OR, 1.525; 95% CI, 1.326 to 1.67), bacteremia (OR, 1.24; 95% CI, 1.01 to 1.52), fungemia (OR, 3.76; 95% CI, 1.90 to 7.41), tumor lysis syndrome (OR, 3.01; 95% CI, 2.41 to 3.76), and receipt of antimicrobials (OR, 2.04; 95% CI, 1.72 to 2.42) and transfusions (OR, 1.65; 95% CI, 1.42 to 1.92).

CONCLUSION

Clinical deterioration was common; it occurred in more than 9% of admissions. Factors independently associated with deterioration included comorbidities, admission source, infections, and blood product transfusion.