Critical care of patients with cancer

Factors associated with short- and long-term outcomes in lung cancer patients requiring unplanned invasive mechanical ventilation

OBJECTIVE

Unplanned invasive mechanical ventilation (IMV) is associated with high mortality in lung cancer patients. We aimed to identify factors associated with weaning from IMV, intensive care unit (ICU) survival and 1-year survival in lung cancer patients requiring unplanned IMV.

DESIGN

Retrospective observational study (2007-2017).

SETTING

University-affiliated ICU.

PATIENTS

Lung cancer patients requiring unplanned IMV.

INTERVENTION

None.

MAIN VARIABLES OF INTEREST

Weaning from IMV, ICU and 1-year survival.

RESULTS

Of the 136 patients included in the analysis (age 64 (9) years, male 110 (81%), metastatic disease 97 (62%)), 52 (38%) were weaned from IMV, 51 (38%) were discharged from ICU and 22 (16%) were alive at 1year. The main indication for intubation was acute respiratory failure. In multivariate analysis, PaO2/FiO2 >175mmHg at ICU admission and intubation before ICU admission were associated with successful weaning from IMV while intubation for cardiac arrest was associated with weaning failure. Same factors were associated with ICU survival. Absence of metastasis at ICU admission and lung resection surgery were independently associated with 1-year survival.

CONCLUSIONS

A significant proportion of patients with lung cancer treated with unplanned IMV could be weaned from IMV and survived to ICU discharge, especially in the absence of severe hypoxemia at ICU admission. The low one-year survival was mostly driven by metastatic status.

Prognostic factors in oncological patients with solid tumours requiring intensive care unit admission

The aim of the present study was to identify factors predicting in-hospital mortality in patients with cancer admitted to a medical Intensive Care Unit (ICU), and to evaluate their functional status and survival during follow-up at the oncology service in the initial 12 months after hospital discharge. A retrospective observational study was performed on 129 consecutive oncological patients with solid tumours admitted to the medical ICU of the Hospital del Mar (Barcelona, Spain) between January 2016 and June 2018. Demographics, and clinical data in-ICU and in-hospital mortality were recorded. Post-hospital discharge follow-up was also carried out. ICU and hospital mortality rates were 24% (n=31) and 40.3% (n=52), respectively. Sequential Organ Failure Assessment (SOFA) score (HR, 1.20; 95% CI, 1.01-1.42; P=0.037), neutropenia on admission (HR, 8.53; 95% CI, 2.15-33.82; P=0.002), metastatic disease (HR, 3.92; 95% CI, 1.82-8.45; P<0.001), need for invasive mechanical ventilation (HR, 5.78; 95% CI, 1.61-20.73; P=0.007), surgery during hospital admission (HR, 0.23; 95% CI, 0.09-0.61; P=0.003) and ICU stay (>48 h) (HR, 0.11; 95% CI, 0.04-0.29; P<0.001) were the independent risk factors for ICU mortality. Overall, 59.5% of the survivors had good functional status at hospital discharge and 28.7% of patients with cancer admitted to the ICU were alive 1 year after hospital discharge, most of them (85.7%) with good functional status (Eastern Cooperative Oncology Group 0-1). In conclusion, hospital mortality may be associated with SOFA score at ICU admission, the need for invasive mechanical ventilation, neutropenia and metastatic disease. Only 40% of patients with oncological disease admitted to the ICU died during their hospital stay, and >50% of the survivors presented good functional status at hospital discharge. Notably, 1 year after hospital discharge, 28.7% of patients were alive, most of them with a good functional status.

A prediction model for in-hospital mortality in intensive care unit patients with metastatic cancer

Aim

To identify predictors for in-hospital mortality in patients with metastatic cancer in intensive care units (ICUs) and established a prediction model for in-hospital mortality in those patients.

Methods

In this cohort study, the data of 2,462 patients with metastatic cancer in ICUs were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. Least absolute shrinkage and selection operator (LASSO) regression analysis was applied to identify the predictors for in-hospital mortality in metastatic cancer patients. Participants were randomly divided into the training set (n = 1,723) and the testing set (n = 739). Patients with metastatic cancer in ICUs from MIMIC-IV were used as the validation set (n = 1,726). The prediction model was constructed in the training set. The area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were employed for measuring the predictive performance of the model. The predictive performance of the model was validated in the testing set and external validation was performed in the validation set.

Results

In total, 656 (26.65%) metastatic cancer patients were dead in hospital. Age, respiratory failure, the sequential organ failure assessment (SOFA) score, the Simplified Acute Physiology Score II (SAPS II) score, glucose, red cell distribution width (RDW) and lactate were predictors for the in-hospital mortality in patients with metastatic cancer in ICUs. The equation of the prediction model was ln(P/(1 + P)) = -5.9830 + 0.0174 × age + 1.3686 × respiratory failure + 0.0537 × SAPS II + 0.0312 × SOFA + 0.1278 × lactate - 0.0026 × glucose + 0.0772 × RDW. The AUCs of the prediction model was 0.797 (95% CI,0.776-0.825) in the training set, 0.778 (95% CI, 0.740-0.817) in the testing set and 0.811 (95% CI, 0.789-0.833) in the validation set. The predictive values of the model in lymphoma, myeloma, brain/spinal cord, lung, liver, peritoneum/pleura, enteroncus and other cancer populations were also assessed.

Conclusion

The prediction model for in-hospital mortality in ICU patients with metastatic cancer exhibited good predictive ability, which might help identify patients with high risk of in-hospital death and provide timely interventions to those patients.

End of life decisions in immunocompromised patients with acute respiratory failure

PURPOSE

To identify patient, disease and organizational factors associated with decisions to forgo life-sustaining therapies (DFLSTs) in critically ill immunocompromised patients admitted to the intensive care unit (ICU) for acute respiratory failure.

MATERIAL AND METHODS

We performed a secondary analysis of the international EFRAIM prospective study, which enrolled 1611 immunocompromised patients with acute respiratory failure admitted to 68 ICUs in 16 countries between October 2015 and June 2016. Multivariate logistic analysis was performed to identify independent predictors of DFLSTs.

RESULTS

The main causes of immunosuppression were hematological malignancies (50%) and solid tumor (38%). Patients had a median age of 63 yo (54-71). A pulmonologist was involved in the patient management in 38% of cases. DFLSTs had been implemented in 28% of the patients. The following variables were independently associated with DFLSTs: 1) patient-related: older age (OR 1.02 per one year increase, 95% confidence interval(CI) 1.01-1.03,P < 0.001), poor performance status (OR 2.79, 95% CI 1.98-3.93, P < 0.001); 2) disease-related: shock (OR 2.00, 95% CI 1.45-2.75, P < 0.001), liver failure (OR 1.59, 95% CI 1.14-2.21, P = 0.006), invasive mechanical ventilation (OR 1.79, 95% CI 1.31-2.46, P < 0.001); 3) organizational: having a pulmonologist involved in patient management (OR 1.85, 95% CI 1.36-2.52, P < 0.001), and the presence of a critical care outreach services (OR 1.63, 95% CI 1.11-2.38, P = 0.012).

CONCLUSIONS

A DFLST is made in one in four immunocompromised patient admitted to the ICU for acute respiratory failure. Involving a pulmonologist in patient's management is associated with less non beneficial care.

Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer Patients

Simple and accessible prognostic factors are paramount for solid cancer patients experiencing life-threatening complications. The aim of this study is to appraise the impact of functional and nutritional status and skeletal muscle mass in this population. We conducted a retrospective (2007−2020) single-center study by enrolling adult patients with solid cancers requiring unplanned ICU admission. Performance status, body weight, and albumin level were collected at ICU admission and over six months. Skeletal muscle mass was assessed at ICU admission by measuring muscle areas normalized by height (SMI). Four-hundred and sixty-two patients were analyzed, mainly with gastro-intestinal (34.8%) and lung (29.9%) neoplasms. Moreover, 92.8% of men and 67.3% of women were deemed cachectic. In the multivariate analysis, performance status at ICU admission (CSH 1.74 [1.27−2.39], p < 0.001) and the six month increase in albumin level (CSH 0.38 [0.16−0.87], p = 0.02) were independent predictors of ICU mortality. In the subgroup of mechanically ventilated patients, the psoas SMI was independently associated with ICU mortality (CSH 0.82 [0.67−0.98], p = 0.04). Among the 368 ICU-survivors, the performance status at ICU admission (CSH 1.34 [1.14−1.59], p < 0.001) and the six-month weight loss (CSH 1.33 [1.17−2.99], p = 0.01) were associated with a one-year mortality rate. Most cancer patients displayed cachexia at ICU admission. Time courses of nutritional parameters may aid the prediction of short- and long-term outcomes.

Severe infections in recipients of cancer immunotherapy: what intensivists need to know

PURPOSE OF REVIEW

Given the increased number of cancer patients admitted in the ICU and the growing importance of immunotherapy in their therapeutic arsenal, intensivists will be increasingly confronted to patients treated with immunotherapies who will present with complications, infectious and immunologic.

RECENT FINDINGS

Apart from their specific immunologic toxicities, cancer immunotherapy recipients also have specific immune dysfunction and face increased infectious risks that may lead to intensive care unit admission.

SUMMARY

Chimeric antigen receptor T-cell therapy is associated with profound immunosuppression and the risks of bacterial, fungal and viral infections vary according to the time since infusion.Immune checkpoint blockers are associated with an overall favorable safety profile but associations of checkpoint blockers and corticosteroids and immunosuppressive drugs prescribed to treat immune-related adverse events are associated with increased risks of bacterial and fungal infections.The T-cell engaging bispecific therapy blinatumomab causes profound B-cell aplasia, hypogammaglobulinemia and neutropenia, but seems to be associated with fewer infectious adverse events compared with standard intensive chemotherapy.Lastly, intravesical administration of Bacillus Calmette-Guérin (BCG) can lead to disseminated BCGitis and severe sepsis requiring a specific antibiotherapy, often associated with corticosteroid treatment.

[Intensive care management of cancer patients]

Cancer patients compromise about 15-20 % of all patients on the intensive Care Unit (ICU). Moreover, recent therapeutic developments in hematology oncology as chimeric T-cells (CAR T-cells) regularly require critical care and therefore the amount of cancer patients in the ICU is expected to grow in the coming years. Although their prognosis has dramatically improved over the past decades, the mortality on cancer patients on the ICU is still high compared to non-cancer patients. Therefore, the interdisciplinary management of these patients is crucial in order to accurately identify patients who benefit from transfer to the ICU and to optimize treatment of these vulnerable and often complex patients. Consequently, large cohort studies have shown a positive impact of daily interdisciplinary patient visits including hematology-oncology and critical care medicine on survival of cancer patients on the ICU. This short review summarizes current knowledge and open questions in the critical care management of cancer patients.

A nationwide study on characteristics and outcome of cancer patients with sepsis requiring intensive care

BACKGROUND

Sepsis is the leading cause of admission to the intensive care unit (ICU) for cancer patients and survival rates have historically been low. The aims of this nationwide cohort study were to describe the characteristics and outcomes of cancer patients admitted to the ICU with sepsis compared with other sepsis patients requiring ICU admission.

MATERIAL AND METHODS

This was a retrospective, observational study. All adult admissions to Icelandic ICUs during years 2006, 2008, 2010, 2012, 2014 and 2016 were screened for severe sepsis or septic shock by ACCP/SCCM criteria. Clinical characteristics and outcomes of sepsis patients with cancer were compared to those without cancer.

RESULTS

In the study period, 235 of 971 (24%) patients admitted to Icelandic ICUs because of sepsis had cancer, most often a solid tumour (100), followed by metastatic tumours (69) and haematological malignancies (66). Infections were more often hospital-acquired in cancer patients (52%) than other sepsis patients (18%, p < 0.001) and sites of infections differed, with abdominal infections being most common in patients with solid and metastatic tumours but lungs and bloodstream infections in haematological malignancies. The length of stay in the ICU was shorter for sepsis patients with metastatic disease than other sepsis patients (2 vs. 4 days, p < 0.001) and they were more likely to have treatment limitations (52 vs. 19%, p < 0.05). Median survival of patients with metastatic disease was 19 days from ICU admission. The 28-day mortality (25%) of solid tumour patients was comparable to that of sepsis patients without cancer (20%, p < 0.001).

CONCLUSIONS

Cancer is a common comorbidity in patients admitted to the ICU with sepsis. The clinical presentation and outcome differs between cancer types. Individuals with metastatic cancer were unlikely to receive prolonged invasive ICU care treatment. Comparable short-term outcome was found for patients with solid tumours and no cancer.

Prognostic factors for advanced lung cancer patients with do-not-intubate order in intensive care unit: a retrospective study

Background

The survival of patients with lung cancer undergoing critical care has improved. An increasing number of patients with lung cancer have signed a predefined do-not-intubate (DNI) order before admission to the intensive care unit (ICU). These patients may still be transferred to the ICU and even receive non-invasive ventilation (NIV) support. However, there is still a lack of prognostic predictions in this cohort. Whether patients will benefit from ICU care remains unclear.

Methods

We retrospectively collected data from patients with advanced lung cancer who had signed a DNI order before ICU admission in a tertiary medical center between 2014 and 2016. The clinical characteristics and survival outcomes were discussed.

Results

A total of 140 patients (median age, 73 years; 62.1% were male) were included, had been diagnosed with stage III or IV non-small cell lung cancer (NSCLC) (AJCC 7th edition), and signed a DNI. Most patients received NIV during ICU stay. The median APACHE II score was 14 (standard error [SE], ± 0.66) and the mean PaO2/FiO2 ratio (P/F ratio) was 174.2 (SD, ± 104 mmHg). The APACHE II score was significantly lower in 28-day survivors (survivor: 12 (± 0.98) vs. non-survivor: 15 (± 0.83); p = 0.019). The P/F ratio of the survivors was higher than that of non-survivors (survivors: 209.6 ± 111.4 vs. non-survivors: 157.9 ± 96.7; p = 0.006). Patients with a P/F ratio ≥ 150 had better 28-day survival (p = 0.005). By combining P/F ratio ≥ 150 and APACHE II score < 16, those with high P/F ratios and low APACHE II scores during ICU admission had a notable 28-day survival compared with the rest (p < 0.001). These prognostic factors could also be applied to 90-day survival (p = 0.003). The prediction model was significant for those with driver mutations in 90-day survival (p = 0.021).

Conclusions

P/F ratio ≥ 150 and APACHE II score < 16 were significant prognostic factors for critically ill patients with lung cancer and DNI. This prediction could be applied to 90-day survival in patients with driver mutations. These findings are informative for clinical practice and decision-making.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12890-022-02042-7.

Sufficient Death Preparedness Correlates to Better Mental Health, Quality of Life, and EOL Care

CONTEXT

Patients can prepare for end of life and their forthcoming death to enhance the quality of dying.

OBJECTIVES

We aimed to longitudinally evaluate the never-before-examined associations of cancer patients' death-preparedness states by conjoint cognitive prognostic awareness and emotional preparedness for death with psychological distress, quality of life (QOL), and end-of-life care received.

METHODS

In this cohort study, we simultaneously evaluated associations of four previously identified death-preparedness states (no-death-preparedness, cognitive-death-preparedness-only, emotional-death-preparedness-only, and sufficient-death-preparedness states) with anxiety symptoms, depressive symptoms, and QOL over 383 cancer patients' last six months and end-of-life care received in the last month using multivariate hierarchical linear modeling and logistic regression modeling, respectively. Minimal clinically important differences (MCIDs) have been established for anxiety- (1.3-1.8) and depressive- (1.5-1.7) symptom subscales (0-21 Likert scales).

RESULTS

Patients in the no-death-preparedness and cognitive-death-preparedness-only states reported increases in anxiety symptoms and depressive symptoms that exceed the MCIDs, and a decline in QOL from those in the sufficient-death-preparedness state. Patients in the emotional-death-preparedness-only state were more (OR [95% CI]=2.38 [1.14, 4.97]) and less (OR [95% CI]=0.38 [0.15, 0.94]) likely to receive chemotherapy/immunotherapy and hospice care, respectively, than those in the sufficient-death-preparedness state. Death-preparedness states were not associated with life-sustaining treatments received in the last month.

CONCLUSION

Conjoint cognitive and emotional preparedness for death is associated with cancer patients' lower psychological distress, better QOL, reduced anti-cancer therapy, and increased hospice-care utilization. Facilitating accurate prognostic awareness and emotional preparedness for death is justified when consistent with patient circumstances and preferences.

Veno-venous extracorporeal membrane oxygenation (vv-ECMO) for severe respiratory failure in adult cancer patients: a retrospective multicenter analysis

Purpose

The question of whether cancer patients with severe respiratory failure benefit from veno-venous extracorporeal membrane oxygenation (vv-ECMO) remains unanswered. We, therefore, analyzed clinical characteristics and outcomes of a large cohort of cancer patients treated with vv-ECMO with the aim to identify prognostic factors.

Methods

297 cancer patients from 19 German and Austrian hospitals who underwent vv-ECMO between 2009 and 2019 were retrospectively analyzed. A multivariable cox proportional hazards analysis for overall survival was performed. In addition, a propensity score-matched analysis and a latent class analysis were conducted.

Results

Patients had a median age of 56 (IQR 44–65) years and 214 (72%) were males. 159 (54%) had a solid tumor and 138 (47%) a hematologic malignancy. The 60-day overall survival rate was 26.8% (95% CI 22.1–32.4%). Low platelet count (HR 0.997, 95% CI 0.996–0.999; p = 0.0001 per 1000 platelets/µl), elevated lactate levels (HR 1.048, 95% CI 1.012–1.084; p = 0.0077), and disease status (progressive disease [HR 1.871, 95% CI 1.081–3.238; p = 0.0253], newly diagnosed [HR 1.571, 95% CI 1.044–2.364; p = 0.0304]) were independent adverse prognostic factors for overall survival. A propensity score-matched analysis with patients who did not receive ECMO treatment showed no significant survival advantage for treatment with ECMO.

Conclusion

The overall survival of cancer patients who require vv-ECMO is poor. This study shows that the value of vv-ECMO in cancer patients with respiratory failure is still unclear and further research is needed. The risk factors identified in the present analysis may help to better select patients who may benefit from vv-ECMO.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00134-022-06635-y.

Critical care management of chimeric antigen receptor T-cell therapy recipients

Chimeric antigen receptor (CAR) T-cell therapy is a promising immunotherapeutic treatment concept that is changing the treatment approach to hematologic malignancies. The development of CAR T-cell therapy represents a prime example for the successful bench-to-bedside translation of advances in immunology and cellular therapy into clinical practice. The currently available CAR T-cell products have shown high response rates and long-term remissions in patients with relapsed/refractory acute lymphoblastic leukemia and relapsed/refractory lymphoma. However, CAR T-cell therapy can induce severe life-threatening toxicities such as cytokine release syndrome, neurotoxicity, or infection, which require rapid and aggressive medical treatment in the intensive care unit setting. In this review, the authors provide an overview of the state-of-the-art in the clinical management of severe life-threatening events in CAR T-cell recipients. Furthermore, key challenges that have to be overcome to maximize the safety of CAR T cells are discussed.

Mortality of Hemato-Oncologic Patients Admitted to a Pediatric Intensive Care Unit: A Single-Center Experience

INTRODUCTION

Mortality in children with hemato-oncologic disease admitted to a pediatric intensive care unit (PICU) is higher compared to the general population. The reasons for this fact remain unexplored. The aim of this study was to assess outcomes and trends in hemato-oncologic patients admitted to a PICU, with analytical emphasis on emergency admissions.

METHODS

Patients with a hemato-oncologic diagnosis admitted to a tertiary care university hospital PICU between 1 January 2009 and 31 December 2019 were retrospectively analyzed. Additionally, patient mortality 6 months after PICU admission and follow-up mortality until 31 December 2020 were recorded.

MEASUREMENTS AND MAIN RESULTS

We reviewed a total of 701 PICU admissions of 338 children with hemato-oncologic disease, of which 28.5% were emergency admissions with 200 admissions of 122 patients. Of these, 22 patients died, representing a patient mortality of 18.0% and an admission mortality of 11.0% in this group. Follow-up patient mortality was 25.4% in emergency-admitted children. Multivariable analysis revealed severe neutropenia at admission and invasive mechanical ventilation (IMV) as independent risk factors for PICU death (p = 0.029 and p = 0.002). The total number of PICU admissions of hemato-oncologic patients rose notably over time, from 44 in 2009 to 125 in 2019.

CONCLUSION

Although a high proportion of emergency PICU admissions of hemato-oncologic patients required intensive organ support, mortality seemed to be lower than previously reported. Moreover, in this study, total PICU admissions of the respective children rose notably over time.

Optimal authoritative risk assessment score of Cancer-associated venous thromboembolism for hospitalized medical patients with lung Cancer

Background

Cancer-associated venous thromboembolism (VTE) is common in patients with primary lung cancer. It has been understudied which authoritative risk assessment score of cancer-associated VTE is optimal for the assessment of VTE development in hospitalized medical patients with lung cancer.

Methods

Patients with lung cancer who had undergone computed tomography pulmonary angiography (CTPA), compression ultrasonography (CUS) of lower and upper extremities, and/or planar ventilation/perfusion (V/Q) scan to confirm the presence or absence of VTE during a medical hospitalization were retrospectively reviewed. Based on the actual prevalence of VTE among all patients, the possibility of VTE were reassessed with the Khorana score, the PROTECHT score, the CONKO score, the ONKOTEV score, the COMPASS-CAT score, and the CATS/MICA score, to compare their assessment accuracy for VTE development.

Results

A total of 1263 patients with lung cancer were incorporated into the final analysis. With respect to assessment efficiency for VTE occurrence, the scores with adjusted agreement from highest to lowest were the ONKOTEV score (78.6%), the PROTECHT score (73.4%), the CONKO score (72.1%), the COMPASS-CAT score (71.7%), the Khorana score (70.9%), and the CATS/MICA score (60.3%). The ONKOTEV score had the highest Youden index which was 0.68, followed by the PROTECHT score (0.58), the COMPASS-CAT score (0.56), the CONKO score (0.55), the Khorana score (0.53), and the CATS/MICA score (0.23).

Conclusions

Among the Khorana score, the PROTECHT score, the CONKO score, the ONKOTEV score, the COMPASS-CAT score, and the CATS/MICA score which are approved by authoritative guidelines, the ONKOTEV score is optimal for the assessment of VTE development in hospitalized medical patients with lung cancer.

One-year Mortality of Cancer Patients with an Unplanned ICU Admission: A Cohort Analysis Between 2008 and 2017 in the Netherlands

Introduction: A decrease in short-term mortality of critically ill cancer patients with an unplanned intensive care unit (ICU) admission has been described. Few studies describe a change over time of 1-year mortality. Therefore, we examined the 1-year mortality of cancer patients (hematological or solid) with an unplanned ICU admission and we described whether the mortality changed over time. Methods: We used the National Intensive Care Evaluation (NICE) registry and extracted all patients with an unplanned ICU admission in the Netherlands between 2008 and 2017. The primary outcome was 1-year mortality, analyzed with a mixed-effects Cox proportional hazard regression. We compared the 1-year mortality of cancer patients to that of patients without cancer. Furthermore, we examined changes in mortality over the study period. Results: We included 470,305 patients: 10,401 with hematological cancer, 35,920 with solid cancer, and 423,984 without cancer. The 1-year mortality rates were 60.1%, 46.2%, and 28.3% respectively (P< .01). Approximately 30% of the cancer patients surviving their hospital admission died within 1 year, this was 12% in patients without cancer. In hematological patients, 1-year mortality decreased between 2008 and 2011, after which it stabilized. In solid cancer patients, inspection showed neither an increasing nor decreasing trend over the inclusion period. For patients without cancer, 1-year mortality decreased between 2008 and 2013, after which it stabilized. A clear decrease in hospital mortality was seen within all three groups. Conclusion: The 1-year mortality of cancer patients with an unplanned ICU admission (hematological and solid) was higher than that of patients without cancer. About one-third of the cancer patients surviving their hospital admission died within 1 year after ICU admission. We found a decrease in 1-year mortality until 2011 in hematology patients and no decrease in solid cancer patients. Our results suggest that for many cancer patients, an unplanned ICU admission is still a way to recover from critical illness, and it does not necessarily lead to success in long-term survival. The underlying type of malignancy is an important factor for long-term outcomes in patients recovering from critical illness.

Implications of intensive care unit admissions among medicare beneficiaries following resection of pancreatic cancer

BACKGROUND

Intensive care unit (ICU) use has increased among patients with cancer. We sought to define factors associated with ICU admissions among patients with pancreatic cancer and characterize trends in mortality among hospital survivors.

METHODS

The Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database was used to identify patients with pancreatic cancer who underwent resection. Multivariable analyses were conducted to identify factors associated with ICU admission and mortality among hospital survivors.

RESULTS

Among 6422 Medicare beneficiaries who underwent resection of pancreatic cancer, 2386 (37.1%) had an ICU admission. Patients with ICU admissions were more likely to be younger (10-year increase odds ratio [OR]: 0.83, 95% confidence interval [CI]: 0.77-0.89), male (OR: 1.17, 95% CI 1.05-1.30) and undergo resection at a teaching hospital (OR: 1.19, 95% CI: 1.05-1.36). While the majority of patients survived to hospital discharge (n = 2106; 88.3%), a majority of patients (n = 1296; 54.3%) died within 6 months. Among patients who had subsequent ICU admissions, 1- and 5-year survival was only 31.8% and 11.0%, respectively.

CONCLUSIONS

Over one-third of patients with pancreatic cancer had an ICU admission. While most patients survived hospitalization, more than one-half of patients died within 6 months of discharge and two-thirds died within 1 year. These data should serve to guide patient-provider discussions around prognosis relative to ICU utilization.

NRS-2002 and mNUTRIC score: Could we predict mortality of hematological malignancy patients in the ICU?

BACKGROUND

Malnutrition is a problem that greatly affects patients with hematological malignancy (HM) throughout the course of illness. Intensity of the malignancy treatment, inadequate energy intake, complex procedures such as hematopoietic stem cell transplantation, and treatment side effects are contributing factors for malnutrition in HM patients. The aim of this study was to compare the accuracy of the modified Nutrition Risk in Critically Ill (mNUTRIC) score and Nutrition Risk Screening 2002 (NRS-2002) in predicting hospital and long-term mortality of HM patients in the intensive care unit (ICU) and to identify effects of malnutrition on ICU mortality.

METHODS

This prospective observational cohort study was conducted in a university teaching hospital tertiary ICU service. During the study period, 112 HM patients who were >18 years old were admitted to the ICU. We excluded the patients who were discharged or died within 24 h from the statistical analysis. The patients were followed for 3 years after discharge for long-term mortality.

RESULTS

Twenty-nine patients died within 24 h of admission and were excluded from the study; therefore, statistical analysis was done for 81 patients. Logistic regression analysis demonstrated that high malnutrition risk, according to the NRS-2002 score, was associated with greater odds of ICU mortality (P = 0.002, odds ratio = 19.16).

CONCLUSION

In this study, we showed that NRS-2002 is superior to mNUTRIC score in predicting ICU mortality in patients with HMs. mNUTRIC score and NRS-2002 were not superior to each other in predicting long-term mortality.

Critically ill cancer patient's resuscitation: a Belgian/French societies' consensus conference

To respond to the legitimate questions raised by the application of invasive methods of monitoring and life-support techniques in cancer patients admitted in the ICU, the European Lung Cancer Working Party and the Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique, set up a consensus conference. The methodology involved a systematic literature review, experts' opinion and a final consensus conference about nine predefined questions1. Which triage criteria, in terms of complications and considering the underlying neoplastic disease and possible therapeutic limitations, should be used to guide admission of cancer patient to intensive care units?2. Which ventilatory support [High Flow Oxygenation, Non-invasive Ventilation (NIV), Invasive Mechanical Ventilation (IMV), Extra-Corporeal Membrane Oxygenation (ECMO)] should be used, for which complications and in which environment?3. Which support should be used for extra-renal purification, in which conditions and environment?4. Which haemodynamic support should be used, for which complications, and in which environment?5. Which benefit of cardiopulmonary resuscitation in cancer patients and for which complications?6. Which intensive monitoring in the context of oncologic treatment (surgery, anti-cancer treatment …)?7. What specific considerations should be taken into account in the intensive care unit?8. Based on which criteria, in terms of benefit and complications and taking into account the neoplastic disease, patients hospitalized in an intensive care unit (or equivalent) should receive cellular elements derived from the blood (red blood cells, white blood cells and platelets)?9. Which training is required for critical care doctors in charge of cancer patients?

Outcome, demography and resource utilization in ICU Patients with delirium and malignancy

Delirium in the general intensive care unit (ICU) population is common, associated with adverse outcomes and well studied. However, knowledge on delirium in the increasing number of ICU patients with malignancy is scarce. The aim was to assess the frequency of delirium and its impact on resource utilizations and outcomes in ICU patients with malignancy. This retrospective, single-center longitudinal cohort study included all patients with malignancy admitted to ICUs of a University Hospital during one year. Delirium was diagnosed by an Intensive Care Delirium Screening Checklist (ICDSC) score ≥ 4. Of 488 ICU patients with malignancy, 176/488 (36%) developed delirium. Delirious patients were older (66 [55-72] vs. 61 [51-69] years, p = 0.001), had higher SAPS II (41 [27-68] vs. 24 [17-32], p < 0.001) and more frequently sepsis (26/176 [15%] vs. 6/312 [1.9%], p < 0.001) and/or shock (30/176 [6.1%] vs. 6/312 [1.9%], p < 0.001). In multivariate analysis, delirium was independently associated with lower discharge home (OR [95% CI] 0.37 [0.24-0.57], p < 0.001), longer ICU (HR [95% CI] 0.30 [0.23-0.37], p < 0.001) and hospital length of stay (HR [95% CI] 0.62 [0.50-0.77], p < 0.001), longer mechanical ventilation (HR [95% CI] 0.40 [0.28-0.57], p < 0.001), higher ICU nursing workload (B [95% CI] 1.92 [1.67-2.21], p < 0.001) and ICU (B [95% CI] 2.08 [1.81-2.38], p < 0.001) and total costs (B [95% CI] 1.44 [1.30-1.60], p < 0.001). However, delirium was not independently associated with in-hospital mortality (OR [95% CI] 2.26 [0.93-5.54], p = 0.074). In conclusion, delirium was a frequent complication in ICU patients with malignancy independently associated with high resource utilizations, however, it was not independently associated with in-hospital mortality.

Severe Cardiac Toxicity Induced by Cancer Therapies Requiring Intensive Care Unit Admission

A steadying increase of cancer survivors has been observed as a consequence of more effective therapies. However, chemotherapy regimens are often associated with significant toxicity, and cardiac damage emerges as a prominent clinical issue. Many mechanisms sustain chemotherapy-induced cardiac toxicity: direct myocyte damage, arrhythmia induction, coronary vasospasm, and accelerated atherosclerosis. Anthracyclines are the most studied cardiotoxic drugs and represent a clinical model for cardiac damage induced by chemotherapy. In patients suffering from advanced heart failure (HF) because of chemotherapy-related cardiomyopathy, when refractory to optimal medical therapy, mechanical circulatory support or heart transplantation represents an effective treatment. Here, the main mechanisms of cardiac toxicity induced by cancer therapies are analyzed, with a focus on patients requiring intensive care unit (ICU) admission during the course of the disease because of acute cardiac toxicity, takotsubo syndrome, and acute-on-chronic HF in patients suffering from chemotherapy-induced cardiomyopathy. In a subset of patients, cardiac toxicity can be acute and life-threatening, leading to overt cardiogenic shock. The management of critically ill cancer patients poses a unique challenge and requires a multidisciplinary approach. Moreover, no etiologic therapy is available, and only supportive measures can be implemented.

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.

Complex Oncologic Surgeries and Implications for the Intensive Care Unit Nurse

There are many challenges in caring for the postsurgical patient in the intensive care unit. When the postsurgical patient has an active malignancy, this can make the intensive care unit care more challenging. Nutrition, infection, and the need for postoperative mechanical ventilatory support for the patient with cancer present challenges that may increase the patient's length of stay in the intensive care unit. Critical care nurses must be aware of these challenges as they provide care to this patient population.

Outcome of cancer patients considered for intensive care unit admission in two university hospitals in the Netherlands: the danger of delayed ICU admissions and off-hour triage decisions

Background

Very few studies assessed the association between Intensive Care Unit (ICU) triage decisions and mortality. The aim of this study was to assess whether an association could be found between 30-day mortality, and ICU admission consultation conditions and triage decisions.

Methods

We conducted a retrospective cohort study in two large referral university hospitals in the Netherlands. We identified all adult cancer patients for whom ICU admission was requested from 2016 to 2019. Via a multivariable logistic regression analysis, we assessed the association between 30-day mortality, and ICU admission consultation conditions and triage decisions.

Results

Of the 780 cancer patients for whom ICU admission was requested, 332 patients (42.6%) were considered ‘too well to benefit’ from ICU admission, 382 (49%) patients were immediately admitted to the ICU and 66 patients (8.4%) were considered ‘too sick to benefit’ according to the consulting intensivist(s). The 30-day mortality in these subgroups was 30.1%, 36.9% and 81.8%, respectively. In the patient group considered ‘too well to benefit’, 258 patients were never admitted to the ICU and 74 patients (9.5% of the overall study population, 22.3% of the patients ‘too well to benefit’) were admitted to the ICU after a second ICU admission request (delayed ICU admission). Thirty-day mortality in these groups was 25.6% and 45.9%. After adjustment for confounders, ICU consultations during off-hours (OR 1.61, 95% CI 1.09–2.38, p-value 0.02) and delayed ICU admission (OR 1.83, 95% CI 1.00–3.33, p-value 0.048 compared to “ICU admission”) were independently associated with 30-day mortality.

Conclusion

The ICU denial rate in our study was high (51%). Sixty percent of the ICU triage decisions in cancer patients were made during off-hours, and 22.3% of the patients initially considered “too well to benefit” from ICU admission were subsequently admitted to the ICU. Both decisions during off-hours and a delayed ICU admission were associated with an increased risk of death at 30 days. Our study suggests that in cancer patients, ICU triage decisions should be discussed during on-hours, and ICU admission policy should be broadened, with a lower admission threshold for critically ill cancer patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-021-00898-2.

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%).

Current status of treatment of cancer-associated venous thromboembolism

Patients with cancer are prone to develop venous thromboembolism (VTE) that is the second leading cause of mortality among them. Cancer patients with VTE may encounter higher rates of VTE recurrence and bleeding complications than patients without cancer. Treatment of established VTE is often complex in patients with cancer. Treatment of cancer-associated VTE basically comprises initial treatment, long-term treatment, treatment within 6 months, treatment beyond 6 months, treatment of recurrent VTE, and treatment in special situations. Decision of antithrombotic therapy, selection of anticoagulants, duration of anticoagulation, decision of adjuvant therapy, and adjustment of regimen in special situations are the major problems in the treatment of cancer-associated VTE. Therapeutic anticoagulation is the key of the key in the treatment of cancer-associated VTE. In addition to the efficacy and safety of low-molecular-weight heparin (LMWH) that has been fully demonstrated, direct oral anticoagulants (DOACs) are increasingly showing its advantages along with the accompanying concern in the treatment of cancer-associated VTE. The latest ASCO, ITAC and NCCN guidelines agree with each other on most aspects with respect to the treatment of cancer-associated VTE, whereas differ on a few issues. Encompassing recent randomized controlled trials, clinical trials, and meta-analyses, as well as the comparison of the latest authoritative guidelines including the NCCN, ASCO, and ITAC guidelines in this field, the objective of this review is to present current overview and recommendations for the treatment of cancer-associated VTE.

Factors associated with survival of patients with solid Cancer alive after intensive care unit discharge between 2005 and 2013

Background

At intensive care unit (ICU) admission, the issue about prognosis of critically ill cancer patients is of clinical interest, especially after ICU discharge. Our objective was to assess the factors associated with 3- and 6-month survival of ICU cancer survivors.

Methods

Based on the French OutcomeRea™ database, we included solid cancer patients discharged alive, between December 2005 and November 2013, from the medical ICU of the university hospital in Grenoble, France. Patient characteristics and outcome at 3 and 6 months following ICU discharge were extracted from available database.

Results

Of the 361 cancer patients with unscheduled admissions, 253 (70%) were discharged alive from ICU. The main primary cancer sites were digestive (31%) and thoracic (26%). The 3- and 6-month mortality rates were 33 and 41%, respectively. Factors independently associated with 6-month mortality included ECOG performance status (ECOG-PS) of 3–4 (OR,3.74; 95%CI: 1.67–8.37), metastatic disease (OR,2.56; 95%CI: 1.34–4.90), admission for cancer progression (OR,2.31; 95%CI: 1.14–4.68), SAPS II of 45 to 58 (OR,4.19; 95%CI: 1.76–9.97), and treatment limitation decision at ICU admission (OR,4.00; 95%CI: 1.64–9.77). Interestingly, previous cancer chemotherapy prior to ICU admission was independently associated with lower 3-month mortality (OR, 0.38; 95%CI: 0.19–0.75). Among patients with an ECOG-PS 0–1 at admission, 70% (n = 66) and 61% (n = 57) displayed an ECOG-PS 0–2 at 3- and 6-months, respectively. At 3 months, 74 (55%) patients received anticancer treatment, 13 (8%) were given exclusive palliative care.

Conclusions

Factors associated with 6-month mortality are almost the same as those known to be associated with ICU mortality. We highlight that most patients recovered an ECOG-PS of 0–2 at 3 and 6 months, in particular those with a good ECOG-PS at ICU admission and could benefit from an anticancer treatment following ICU discharge.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-020-07706-3.

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.

Postoperative Prolonged Mechanical Ventilation in Patients With Newly Diagnosed Glioblastoma-An Unrecognized Prognostic Factor

Objective

Although the treatment of glioblastoma patients is well established in neuro-oncological surgery, precious scarce data is available on patients with glioblastoma requiring postoperative prolonged mechanical ventilation (PMV). Therefore, the aim of the present study was to determine the influence of PMV on overall survival (OS) in patients with glioblastoma.

Methods

Patients with newly diagnosed glioblastoma who had undergone surgical therapy and complete subsequent neuro-oncological treatment at the authors’ neuro-oncological center from January 2013 to December 2018 were selected and included in the further analysis. PMV was defined as mechanical ventilation for more than 24 h after surgery. Survival analyses were performed, including established prognostic factors such as age, Karnofsky performance score, MGMT-promoter methylation status and extent of resection.

Results

A total of 240 patients with newly diagnosed glioblastoma and subsequent surgical treatment were identified. 13 patients (5%) suffered from PMV during the treatment course of glioblastoma. All but one patient were successfully weaned from mechanical ventilation. Patients suffering from PMV achieved significantly less often favorable functional outcome after 3, 6, 9, and 12 months compared to patients without PMV. Multivariate analysis revealed PMV to constitute a significant prognostic factor for OS, independent of other prognostic factors (p<0.0001, OR 6.7, 95% CI 3.2–13.8).

Conclusions

The present study identifies PMV as significantly associated with impaired functional outcome and poor OS in patients suffering from newly diagnosed glioblastoma. These findings encourage further efforts to investigate/assess this prognostic factor in future studies.

Intensive Care Unit Organization and Interdisciplinary Care for Critically Ill Patients with Cancer

Patients with cancer are at high risk of developing acute critical illness requiring intensive care unit (ICU) admission. Critically ill patients with cancer have complex medical needs that can best be served by a multidisciplinary ICU care team. This article provides an overview of the current state-of-the-art in multidisciplinary care for critically ill patients with cancer. Better integration of multidisciplinary critical care into the continuum of care for patients with cancer offers the prospect of further improvements in the outcomes of patients with cancer.

Critically ill patients with cancer: A clinical perspective

Cancer patients account for 15% of all admissions to intensive care unit (ICU) and 5% will experience a critical illness resulting in ICU admission. Mortality rates have decreased during the last decades because of new anticancer therapies and advanced organ support methods. Since early critical care and organ support is associated with improved survival, timely identification of the onset of clinical signs indicating critical illness is crucial to avoid delaying. This article focused on relevant and current information on epidemiology, diagnosis, and treatment of the main clinical disorders experienced by critically ill cancer patients.

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.

[Hemato-oncology and intensive care medicine : From taboo to indispensable]

Intensivmediziner werden im Kontext der Versorgung von kritisch kranken Krebspatienten vor eine zunehmende Bandbreite spezifischer Herausforderungen gestellt. Neben einer adäquaten Therapiezielfindung umfasst diese die Versorgung des akuten respiratorischen Versagens (ARV) mit speziellen differenzialdiagnostischen Überlegungen, das Management immunologischer Nebenwirkungen innovativer Krebstherapien sowie eine Vielzahl an Krankheitsbildern, die ausschließlich bei Krebspatienten auftreten. Um diesen Herausforderungen gerecht werden zu können, widmet sich die Initiative „Intensive Care in Hematologic and Oncologic Patients (iCHOP)“ seit einigen Jahren diesen Themen. Unterstützt durch mehrere österreichische und deutsche Fachgesellschaften für Intensivmedizin, Hämatologie und Onkologie wurde kürzlich der „1. Konsens zur Versorgung kritisch kranker Krebspatienten“ mit Empfehlungen zum klinischen Management sowie infrastrukturellen und ausbildungsassoziierten Themen verfasst. Das Auftreten eines ARV steht bei kritisch kranken Krebspatienten seit jeher im Fokus der Forschung. Während die nichtinvasive Beatmung lange als Goldstandard der Therapie galt, zeigen hochqualitative Studien jedoch keine relevanten klinischen Vorteile dieser Techniken inklusive der High-flow-nasal-oxygen-Therapie im Vergleich zur konventionellen Sauerstofftherapie. Hingegen rückt eine nichtgeklärte Ätiologie des ARV als einziger potenziell modifizierbarer Risikofaktor in den Fokus. Dementsprechend sind evidenzbasierte und rigoros angewendete Diagnosealgorithmen bei diesen Patienten von eminenter Bedeutung. Des Weiteren stellen das Erkennen und das Management der immer häufiger vorkommenden vielgestaltigen immuntherapieassoziierten Toxizität Intensivmediziner vor zunehmende Herausforderungen.

Trends in clinical profiles, organ support use and outcomes of patients with cancer requiring unplanned ICU admission: a multicenter cohort study

PURPOSE

To describe trends in outcomes of cancer patients with unplanned admissions to intensive-care units (ICU) according to cancer type, organ support use, and performance status (PS) over an 8-year period.

METHODS

We retrospectively analyzed prospectively collected data from all cancer patients admitted to 92 medical-surgical ICUs from July/2011 to June/2019. We assessed trends in mortality through a Bayesian hierarchical model adjusted for relevant clinical confounders and whether there was a reduction in ICU length-of-stay (LOS) over time using a competing risk model.

RESULTS

32,096 patients (8.7% of all ICU admissions; solid tumors, 90%; hematological malignancies, 10%) were studied. Bed/days use by cancer patients increased up to more than 30% during the period. Overall adjusted mortality decreased by 9.2% [95% credible interval (CI), 13.1-5.6%]. The largest reductions in mortality occurred in patients without need for organ support (9.6%) and in those with need for mechanical ventilation (MV) only (11%). Smallest reductions occurred in patients requiring MV, vasopressors, and dialysis (3.9%) simultaneously. Survival gains over time decreased as PS worsened. Lung cancer patients had the lowest decrease in mortality. Each year was associated with a lower sub-hazard for ICU death [SHR 0.93 (0.91-0.94)] and a higher chance of being discharged alive from the ICU earlier [SHR 1.01 (1-1.01)].

CONCLUSION

Outcomes in critically ill cancer patients improved in the past 8 years, with reductions in both mortality and ICU LOS, suggesting improvements in overall care. However, outcomes remained poor in patients with lung cancer, requiring multiple organ support and compromised PS.

Prognostic value of neutrophil-lymphocyte ratio in critically ill patients with cancer: a propensity score matching study

BACKGROUND

Neutrophil-lymphocyte ratio (NLR) has shown a good prognostic value in many different type of malignancies. The purpose of this study was to investigate the relationship between NLR and the outcome of critically ill patients with cancer.

METHODS

We performed a single-institution, retrospective study of 1317 adult critically ill patients with cancer and determined the optimal cut-off for NLR by X-tile software. Propensity score matching (PSM) and inverse probabilities of treatment weighting (IPTW) were performed to control confounders. Cox proportional hazards model was used to evaluate the relationship between NLR and 28-day, 6-month and 1-year all-cause mortality. Kaplan-Meier method, subgroup analysis, and receiver operating characteristics (ROC) analysis were applied to assess the prognostic value of NLR.

RESULTS

The cut-off value for NLR was 17.6. Cox proportional hazards model demonstrated that high NLR (> 17.6) was independently associated with 28-day, 6-month and 1-year all-cause mortality with hazard ratio (HR) of 1.58 (1.29, 1.94), 1.51 (1.28, 1.77) and 1.45 (1.25, 1.69), respectively. The results were consistent with survival analyses (p < 0.001, log-rank test). The ROC analyses showed that the discrimination abilities of NLR were better than other blood-based biomarkers.

CONCLUSION

NLR is a promising prognostic indicator of survival in unselected critical ill patients with cancer.

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%).

Perceived needs of patients and family caregivers regarding home-based enteral nutritional therapy in South Africa: A qualitative study

INTRODUCTION

The need for specialized care, particularly enteral nutritional therapy in community settings is now increasing with implications for both patients and primary care providers. More research is needed to identify the needs of patients and primary caregivers. The study aimed to explore the perceived support needs regarding the provision of home-based enteral nutritional therapy among critically ill adult patients and family caregivers in the KwaZulu-Natal Province of South Africa.

METHODS

A qualitative study of purposely selected adult patients on homebased enteral nutritional therapy and family caregivers was conducted in a district hospital, a community health centre, two primary health care clinics and selected households in the KwaZulu-Natal Province, South Africa. Semi-structured individual interviews were conducted between June and September 2018 and the content analysis approach was used to analyse data.

RESULTS

Two major themes and five subthemes emerged from the results of the interviews. The major themes concerned socioeconomic and psychosocial support needs related to the provision of home-based enteral nutritional therapy. Subthemes included the need for financial assistance, need for enteral nutrition products and supplementary supplies, need for infrastructure for continuity of care, and psychological support needs.

CONCLUSION

Results of this study confirm the need for developing strategies adapted to a South African context and yonder to meet patients' and family caregivers' needs with regard to nutritional services. More research on the identification of needs through monitoring and evaluation of the implementation of nutritional guidelines is needed, particularly in the district hospital and primary health care (PHC) setting.

Etiology and Prognosis of Pneumonia in Patients with Solid Tumors: A Prospective Cohort of Hospitalized Cases

BACKGROUND

Data on the incidence, etiology, and prognosis of non-ventilator-associated pneumonia in hospitalized patients with solid tumors are scarce. We aimed to study the characteristics of non-ventilator-associated pneumonia in hospitalized patients with solid tumors.

MATERIALS AND METHODS

This was a prospective noninterventional cohort study of pneumonia in patients hospitalized in an oncology ward in a tertiary teaching hospital. Pneumonia was defined according to the American Thoracic Society criteria. Patients were followed for 1 month after diagnosis or until discharge. Survivors were compared with nonsurvivors.

RESULTS

A total of 132 episodes of pneumonia were diagnosed over 1 year (9.8% of admissions to the oncology ward). They were health care-related (67.4%) or hospital-acquired pneumonia (31.8%). Lung cancer was the most common malignancy. An etiology was established in 48/132 episodes (36.4%). Knowing the etiology led to changes in antimicrobial therapy in 58.3%. Subsequent intensive care unit admission was required in 10.6% and was linked to inappropriate empirical therapy. Ten-day mortality was 24.2% and was significantly associated with hypoxia (odds ratio [OR], 2.1). Thirty-day mortality was 46.2%. The independent risk factors for 30-day mortality were hypoxia (OR, 3.3), hospital acquisition (OR, 3.1), and a performance status >1 (OR, 2.6). Only 40% of patients who died within 30 days were terminally ill.

CONCLUSION

Pneumonia is a highly prevalent condition in hospitalized patients with solid tumors, even with nonterminal disease. Etiology is diverse, and poor outcome is linked to inappropriate empirical therapy. Efforts to get the empirical therapy right and reach an etiological diagnosis to subsequently de-escalate are warranted.

IMPLICATIONS FOR PRACTICE

The present study shows that pneumonia is a prevalent infectious complication in patients admitted to oncology wards, with a very high mortality, even in non-terminally ill patients. Etiology is diverse, and etiological diagnosis is reached in fewer than 40% of cases in nonintubated patients. Intensive care unit admission, a marker of poor outcome, is associated with inappropriate empirical therapy. These results suggest that, to improve prognosis, a more precise and appropriate antimicrobial empirical therapy for pneumonia in patients with solid tumors is necessary, together with an effort to reach an etiological diagnosis to facilitate subsequent de-escalation.

Characteristics and outcomes of patients with solid tumors receiving chemotherapy in the intensive care unit

PURPOSE

The objective of this study was to evaluate the short- and long-term outcomes of adult patients with solid tumors receiving chemotherapy in the intensive care unit (ICU).

METHODS

This was a retrospective single-center study comparing the outcomes of patients with solid tumors who received chemotherapy in the ICU with a matched cohort of ICU patients (by age, sex, and tumor type) who did not receive chemotherapy. Conditional logistic regression and shared frailty Cox regression were used to assess short-term (ICU and hospital) mortality and death by 12-month post-hospital discharge, respectively.

RESULTS

Seventy-three patients with solid tumors who received chemotherapy in the ICU were successfully matched. The most common solid tumors included thoracic (30%), genitourinary (26%), and breast (16%). The ICU, hospital, and 12-month (post discharge)  mortality rates of patients who recieved chomtherapy in the ICU were 23%, 36%, and 43%, respectively. When compared to the matched cohort of patients who did not receive chemotherapy, patients who received chemotherapy had a significantly longer length of stay in the ICU (median 7 vs. 4 days, p < 0.001) and hospital (median 15 vs. 11 days, p = 0.011) but similar short-term ICU and hospital mortality rates (23% vs. 18% and 36% vs. 38%, respectively). Patients who received chemotherapy in the ICU were at a lower risk of death by 12 months (HR 0.31, p < 0.001) compared to the matched cohort on multivariable analysis.

CONCLUSIONS

Patients with solid tumors who received chemotherapy had increased ICU and hospital length of stay compared to patients who did not. Although short-term mortality did not differ, patients who received chemotherapy in the ICU had improved long-term survival. Our data can inform critical care triage decisions to include patients who are to receive chemotherapy in the ICU.

[Cancer patients in operative intensive care medicine]

Die Prävalenz onkologischer Erkrankungen ist in den vergangenen Jahrzehnten stetig angestiegen. Durch neue Therapieoptionen können immer mehr Patienten mit einem kurativen Therapieansatz behandelt werden. Diese individualisierten und teilweise sehr aggressiven Therapien können jedoch auch zu schweren Nebenwirkungen führen. Diese sollten als wichtige Differenzialdiagnosen zu anderen vitalbedrohlichen Krankheitsbildern auch dem im OP und als Intensivmediziner tätigen Anästhesisten bekannt sein. Krebspatienten werden häufig auf operativen Intensivstationen aufgenommen, um Komplikationen der malignen Grunderkrankung oder auch Nebenwirkungen einer operativen oder konservativen Therapie zu behandeln. Aktuelle Untersuchungen zeigen, dass die maligne Grunderkrankung entgegen bisheriger Annahme keinen wesentlichen Einfluss auf das Intensivüberleben hat. Bei der Aufnahme eines onkologischen Patienten sollte daher die akut vorliegende Organdysfunktion zunächst im Vordergrund stehen. Bei der Therapiezielplanung gilt es, nicht zu übersehen, wann ein kuratives in ein palliatives Konzept übergehen muss. Hierfür müssen neue Aufnahmestrategien und -kriterien entwickelt und evaluiert werden. In diesem Übersichtsartikel werden Diagnosen und Therapien häufiger intensivmedizinischer Krankheitsbilder von onkologischen Patienten sowie Nebenwirkungen moderner onkologischer Therapien dargelegt und Aufnahmestrategien für Patienten mit malignen Erkrankungen vorgestellt.

Evidence on nutritional therapy practice guidelines and implementation in adult critically ill patients: a scoping review protocol

BACKGROUND

Nutritional therapy practice guidelines are designed to improve nutritional practices and thus the delivery of nutritional therapy in critically ill patients. However, they are not implemented despite the strong recommendation of nutritional therapy in the management of critical illness. The aim of this study is to map evidence on nutritional therapy guidelines and their implementation in critically ill adult patients.

METHODS

Two independent reviewers will conduct a search of published scholarly and gray literature on the implementation of nutritional therapy guidelines in critically ill adults using Arksey and O'Malley's scoping review framework. The search of studies will be conducted from databases such as PubMed, Google Scholar and EBSCOhost databases, Cumulative Index for Nursing and Allied Health Literature, MEDLINE, PsychINFO, PsychARTICLES, Health Source: Consumer Edition, Health Source: Nursing/Academic Edition, PreMEDLINE, Joanna Briggs Institute, and Cochrane Databases for Systematic Reviews. We will follow a predetermined criterion to map literature and additional articles will be searched from the reference lists of included studies. The Mixed Method Appraisal Tool (MMAT) will be used for quality assessment of the included studies. Quality assessment of included studies determines the overall quality of the resultant review.

DISCUSSION

We hope to find studies on the implementation of nutritional therapy practice guidelines in adult critically ill patients and its impact on nutritional practices, patient outcomes, and health care costs. The results of this review will be disseminated through presentations in research seminars, conferences, and congresses and will also be available electronically and in print.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42017058864.

Prognostic accuracy of SOFA, qSOFA and SIRS criteria in hematological cancer patients: a retrospective multicenter study

Background

With Sepsis-3, the increase in sequential organ failure assessment (SOFA) as a clinical score for the identification of patients with sepsis and quickSOFA (qSOFA) for the identification of patients at risk of sepsis outside the intensive care unit (ICU) were introduced in 2016. However, their validity has been questioned, and their applicability in different settings and subgroups, such as hematological cancer patients, remains unclear. We therefore assessed the validity of SOFA, qSOFA, and the systemic inflammatory response syndrome (SIRS) criteria regarding the diagnosis of sepsis and the prediction of in-hospital mortality in a multicenter cohort of hematological cancer patients treated on ICU and non-ICU settings.

Methods

We retrospectively calculated SIRS, SOFA, and qSOFA scores in our cohort and applied the definition of sepsis as "life-threatening organ dysfunction caused by dysregulated host response to infection" as reference. Discriminatory capacity was assessed using the area under the receiver operating characteristic curve (AUROC).

Results

Among 450 patients with hematological cancer (median age 58 years, 274 males [61%]), 180 (40%) had sepsis of which 101 (56%) were treated on ICU. For the diagnosis of sepsis, sensitivity was 86%, 64%, and 42% for SIRS, SOFA, and qSOFA, respectively. However, the AUROCs of SOFA and qSOFA indicated better discrimination for sepsis than SIRS (SOFA, 0.69 [95% CI, 0.64-0.73] p < 0.001; qSOFA, 0.67 [95% CI, 0.62-0.71] p < 0.001; SIRS, 0.57 [95% CI, 0.53-0.61] p < 0.001).In-hospital mortality was 40% and 14% in patients with and without sepsis, respectively (p < 0.001). Regarding patients with sepsis, mortality was similar in patients with positive and negative SIRS scores (39% vs. 40% (p = 0.899), respectively). For patients with qSOFA ≥ 2, mortality was 49% compared to 33% for those with qSOFA < 2 (p = 0.056), and for SOFA 56% vs. 11% (p < 0.001), respectively. SOFA allowed significantly better discrimination for in-hospital mortality (AUROC 0.74 [95% CI, 0.69-0.79] p < 0.001) than qSOFA (AUROC 0.65 [95% CI, 0.60-0.71] p < 0.001) or SIRS (AUROC 0.49 [95% CI, 0.44-0.54] p < 0.001).

Conclusions

An increase in SOFA score of ≥ 2 had better prognostic accuracy for both diagnosis of sepsis and in-hospital mortality in this setting, and especially on ICU, we observed limited validity of SIRS criteria and qSOFA in identifying hematological patients with sepsis and at high risk of death.

PICU mortality of children with cancer admitted to pediatric intensive care unit a systematic review and meta-analysis

BACKGROUND

Outcomes for children diagnosed with cancer have improved dramatically over the past 20 years. However, although 40% of pediatric cancer patients require at least one intensive care admission throughout their disease course, PICU outcomes and resource utilization by this population have not been rigorously studied in this specific group.

METHODS

Using a systematic strategy, we searched Medline, Embase, and CINAHL databases for articles describing PICU mortality of pediatric cancer patients admitted to PICU. Two investigators independently applied eligibility criteria, assessed data quality, and extracted data. We pooled PICU mortality estimates using random-effects models and examined mortality trends over time using meta-regression models.

RESULTS

Out of 1218 identified manuscripts, 31 studies were included covering 16,853 PICU admissions with the majority being retrospective in nature. Overall pooled weighted mortality was 27.8% (95% confidence interval (CI), 23.7-31.9%). Mortality decreased slightly over time when post-operative patients were excluded. The use of mechanical ventilation (odds ratio (OR): 18.49 [95% CI 13.79-24.78], p < 0.001), inotropic support (OR: 14.05 [95% CI 9.16-21.57], p < 0.001), or continuous renal replacement therapy (OR: 3.24 [95% CI 1.31-8.04], p = 0.01) was significantly associated with PICU mortality.

CONCLUSIONS

PICU mortality rates of pediatric cancer patients are far higher when compared to current mortality rates of the general PICU population. PICU mortality has remained relatively unchanged over the past decades, a slight decrease was only seen when post-operative patients were excluded. This compared infavorably with the improved mortality seen in adults with cancer admitted to ICU, where research-led improvements have led to the paradigm of unlimited, aggressive ICU management without any limitations on resuscitations status, for a time-limited trial.

Considerations for Medications Commonly Utilized in the Oncology Population in the Intensive Care Unit

An increasing number of oncologic patients are presenting to the intensive care unit with complications from both their chronic disease states and cancer therapies due to improved survival rates. The management of these patients is complex due to immunosuppression (from the malignancy and/or treatment), metabolic complications, and diverse medication regimens with the potential for significant drug-drug interactions and overlapping adverse effects. This chapter will provide clinicians with an overview of non-chemotherapy medications frequently encountered in the critically ill oncologic patient, with a focus on practical considerations.

Long-term prognosis of septic shock in cancer patients

OBJECTIVES

In the last decades, the number of cancer patients admitted in intensive care units (ICUs) for septic shock has dramatically increased. However, prognosis data remain scarce.

METHODS

To assess the 180-day mortality rate in cancer patients admitted to the ICU for septic shock, a 5-year prospective study was performed. All adult patients admitted for septic shock were included and categorized into the following two groups and four subgroups: cancer patients (solid tumor or hematological malignancy) and non-cancer patients (immunocompromised or not). Data were collected and compared between the groups. Upon early ICU admission, the decision to forgo life-sustaining therapy (DFLST) or not was made by consultation among hematologists, oncologists, and the patients or their relatives.

RESULTS

During the study period, 496 patients were admitted for septic shock: 252 cancer patients (119 hematological malignancies and 133 solid tumors) and 244 non-cancer patients. A DFLST was made for 39% of the non-cancer patients and 52% of the cancer patients. The 180-day mortality rate among the cancer patients was 51% and 68% for those with hematological malignancies and solid cancers, respectively. The mortality rate among the non-cancer patients was 44%. In a multivariate analysis, the performance status, Charlson comorbidity index, simplified acute physiology score 2, sequential organ failure assessment score, and DFLST were independent predictors of 180-day mortality.

CONCLUSIONS

Despite early admission to the ICU, the 180-day mortality rate due to septic shock was higher in cancer patients compared with non-cancer patients, due to excess mortality in the patients with solid tumors. The long-term prognosis of cancer patients with septic shock is modulated by their general state, severity of organ failure, and DFLST.

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

PURPOSE

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

METHODS

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

DATASOURCE

Pubmed and Cochrane databases.

ELIGIBILITY CRITERIA

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

RESULTS

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

CONCLUSION

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