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

Clinical Characteristics, Risk Factors and Outcomes of Invasive Fungal Disease in Critically III Patients with Hematological Malignancy: A Retrospective Study

BACKGROUND

Invasive fungal disease (IFD) poses significant challenges for critically ill patients with hematological malignancies (HMs). However, there is limited research on the clinical characteristics, risk factors, and outcomes of IFD within this population.

METHOD

A retrospective study was conducted at a tertiary center in China. The study focused on patients with HMs admitted to the intensive care unit (ICU) between 2014 and 2022.

RESULTS

A total of 239 patients were enrolled, among whom 105 (43.9%) were diagnosed with IFD. Further classification revealed that 64.8%, 31.4%, and 3.8% were classified as possible, probable, and proven IFD, respectively. Patients with IFD had significantly prolonged ICU stays compared to those without IFD (median: 4.9 vs. 2.9 days, P < .001). Notably, there was no statistically significant difference in 28-day mortality between the patients with and without IFD (44.8% vs. 54.5%, P = .907). Hypertension, mechanical ventilation (MV) duration exceeding 48 hours, and an extended interval between deterioration and ICU admission emerged as independent risk factors for IFD.

CONCLUSION

IFD is a common complication in critically ill patients with HM and is associated with prolonged length of ICU stay. Additionally, hypertension, prolonged MV duration and delayed ICU transfer are independent risk factors of IFD in these patients.

Short- and long-term mortality in critically ill patients with solid cancer. The Vall d'Hebron Intensive Care Unit-Vall d'Hebron Institute of Oncology Cohort: a retrospective study

OBJECTIVE

To describe in-hospital and one-year mortality and to identify prognostic variables associated with mortality.

DESIGN

Retrospective cohort study.

SETTING

Tertiary referral hospital in Barcelona (Spain).

PATIENTS

Consecutive patients with solid cancer and unplanned admission to the ICU over a ten year period (2010-2019).

MAIN VARIABLES OF INTEREST

In-hospital mortality, one-year mortality, type of cancer, metastatic disease, ECOG, APACHE, SOFA, invasive mechanical ventilation, vasoactive drugs, renal replacement therapy.

RESULTS

Three hundred and ninety-five patients were admitted to the ICU; 193 (48.8%) had metastatic disease, and 22 (5.9%) presented neutropenia. The median SOFA score on day 1 of ICU admission was 6 (3-9). ICU, in-hospital, and one-year mortality were 27.9% (110 patients), 39% (139 patients), and 61.1% (236 patients), respectively. A non-surgical admission, a higher ECOG, a SOFA score > 9 on day 1, a non-decreasing SOFA score on day 5, and requiring invasive mechanical ventilation were factors associated with in-hospital mortality. ECOG, inability to resume anticancer therapy, and ICU admission due to respiratory failure were associated with one-year mortality in hospital survivors.

CONCLUSION

Survival in critically ill solid cancer patients is substantial, even when metastatic disease exists. Short-term outcomes were associated with ECOG and organ dysfunction, not cancer per se. The prognosis of patients with a non-decreasing SOFA score on day 5 is poor, especially when the SOFA score on day 1 was >9. Long-term mortality was associated with functional status and inability to resume anticancer therapy.

Outcome of critically ill patients receiving systemic chemotherapy on the intensive care unit

Objective

Analyze the outcomes of critically ill patients who developed new-onset organ dysfunction and received systemic chemotherapy during their ICU stay.

Design

Retrospective cohort study.

Setting

A tertiary medical center in Germany with an Intensive Care Medicine department consists of 11 intensive care units comprising 140 beds, serving all subspecialties of adult intensive care medicine.

Patients

167 patients receiving systemic oncological treatment from January 1st, 2015 to December 31st, 2021, with a data cut-off on December 31st, 2022.

Interventions

None.

Measurements and main results

A total of 167 patients were included. The primary reasons for ICU admission were respiratory failure and shock/sepsis, each accounting for 34% of cases, while complications associated with oncological therapy accounted for less than 8%. The median age of hematological patients (n = 129) was 62 years (IQR 50-70), and for solid tumor patients (n = 38), it was 60 years (IQR 52-65). Predominant disease entities included lymphoma (43%) and acute myeloid leukemia (29%) among hematological patients, and lung cancer (47%) and gastrointestinal malignancies (17%) among solid tumor patients. Hematological patients had a significantly higher median Simplified Acute Physiology Score II (47 vs. 39 points; p=0.013), a higher need for invasive mechanical ventilation (59% vs. 50%; p=0.3), renal replacement therapy (54% vs. 24%; p < 0.001), and a higher 1-year mortality rate (64% vs. 53%; p=0.2) compared to solid tumor patients. The hazard ratio for 1 year survival for male sex was 2.34 (1.31-3.49), for mechanical ventilation 2.01 (1.33-3.04), for vasopressor therapy 1.98 (1.27-3.10), and for renal replacement therapy 1.51 (1.03-2.23), respectively.

Conclusion

Administering intravenous chemotherapy in an ICU setting remains challenging, and the experience to establish an indication for systemic chemotherapy is still challenging. However, the study demonstrates that, after careful interdisciplinary decision-making, a substantial number of patients can benefit from it.

Outcomes of non-COVID-19 critically ill patients with hematologic malignancies a 10-year single-center retrospective analysis

We report the outcomes of patients with haematological malignancies admitted to ICUs and define pre-ICU prognostic factors for in-hospital mortality. In a retrospective, single-center study, we included all patients with haematologic malignancies admitted to ICUs between 2009 and 2019. The primary outcome was in-hospital mortality. One hundred and forty-four patients with hematologic malignancies were admitted to ICUs during the study period. Fifteen (10.4%) were in remission, 36 (25.0%) were in remission after hematopoietic stem cell transplantation. Acute Leukemias and aggressive lymphomas were the most common diagnoses, occurring in 34.7%. The in-hospital mortality was 49%. The main predictors for in-hospital mortality were age >65 years, post allogeneic hematopoietic stem cell transplantation, non-remission, respiratory rate >22 bpm, bilirubin >2 mg/dl, PH< 7.35, and time from hospital admission to ICU transfer ≥3 days. In-hospital mortality of patients with hematologic malignancies admitted to ICU was 49%. We identified pre-ICU parameters that predict in-hospital mortality.

Prognostic Impact of Neutropenia Recovery and G-CSF Use in Onco-Hematological Neutropenic Patients Admitted to Intensive Care Unit for Acute Respiratory Failure: A Retrospective, Real World Analysis

INTRODUCTION

The effect of neutropenia and the use of granulocyte colony-stimulating factor (G-CSF) in critically ill patients with cancer are controversial, notably in those with lung injury. Neutropenia recovery can be associated with an acute respiratory failure (ARF) requiring intensive care unit (ICU) admission, especially when G-CSF is administered.

METHODS

In a single-center retrospective study, we evaluated (1) the effect of neutropenia recovery on the 90-day mortality and (2) the impact of G-CSF use on the outcome of patients with cancer and neutropenia with ARF admitted to the ICU.

RESULTS

Among 1098 screened patients, 152 were neutropenic at ICU admission. The 90-day mortality was 44.7%. Factors independently associated with the 90-day mortality were invasive mechanical ventilation, ground-glass opacities and nodules on computed tomography scans, a disease in progression and the Simplified Acute Physiology Score (SAPS II) at ICU admission. The lack of neutropenia recovery during the ICU stay was associated with the 90-day mortality. Using G-CSF had no effect on the 90-day mortality or the neutropenia duration, but the PaO2:FiO2 ratio was significantly lower after neutropenia recovery in patients who received G-CSF. Thus, respiratory deterioration can occur in the neutropenia recovery period, potentially exacerbated by G-CSF.

CONCLUSION

Our study suggests that neutropenia recovery was associated with survival in critically ill patients with cancer and neutropenia with ARF admitted to ICU, and the G-CSF could worsen the respiratory parameters.

Efficacy of high-flow nasal oxygen therapy in cancer patients with concurrent acute hypoxemic respiratory failure: a retrospective propensity score study

Acute respiratory failure is the leading cause of intensive care unit (ICU) admission of cancer patients. Studies of the efficacy of high-flow nasal cannula (HFNC) therapy were rarely conducted in cancer populations. We here compared the clinical effects of HFNC therapy and conventional oxygen therapy (COT) in cancer patients with concurrent acute hypoxemic respiratory failure (AHRF). In this single-center retrospective study, cancer patients with concurrent acute hypoxic respiratory failure either received initial oxygen therapy via HFNC (HFNC group, 68 patients) or received initial oxygen therapy via a nasal cannula, simple mask, or mask with reservoir bag (COT group, 133 patients). Groups were propensity score matched. Differences in respiratory rate (RR), heart rate (HR), and PaO2/FiO2 ratio before and after treatment in the two groups were compared using a mixed-effects model. The 28-day mortality risk was explored using a Cox proportional hazards model. The 24-h and 48-h PaO2/FIO2 ratios were significantly higher in the HFNC than in the COT group (210.5 mmHg vs. 178.5 mmHg; P < 0.01; 217.1 mm Hg vs. 181.6 mm Hg; P < 0.01, respectively). Differences in RR and HR between the groups at each time point were nonsignificant. The 28-day mortality rate was 17.4% vs. 38.1% for the HFNC and COT groups, respectively (P < 0.01). Hazard ratio was significantly higher for COT group (HR 2.6, 95% confidence interval 1.3, 5.3). Compared with COT, HFNC use for initial oxygen therapy can improve PaO2/FIO2 ratio and survival rate in cancer patients with AHRF.

Impact of critical illness on continuation of anticancer treatment and prognosis of patients with aggressive hematological malignancies

BACKGROUND

Maintaining the dose-intensity of cancer treatment is an important prognostic factor of aggressive hematological malignancies. The objective of this study was to assess the long-term outcomes of intensive care unit (ICU) survivors with acute myeloid leukemia (AML) or aggressive B-cell non-Hodgkin lymphoma (B-NHL) with emphasis on the resumption of the intended optimal regimen of cancer treatment.

PATIENTS AND METHODS

We conducted a retrospective (2013-2021) single-center observational study where we included patients with AML and B-NHL discharged alive from the ICU after an unplanned admission. The primary endpoint was the change in the intended optimal cancer treatment following ICU discharge. Secondary endpoints were 1-year progression-free survival and overall survival rates. Determinants associated with modifications in cancer treatment were assessed through multivariate logistic regression.

RESULTS

Over the study period, 366 patients with AML or B-NHL were admitted to the ICU, of whom 170 survivors with AML (n = 92) and B-NHL (n = 78) formed the cohort of interest. The hematological malignancy was recently diagnosed in 68% of patients. The admission Sequential Organ Failure Assessment (SOFA) score was 5 (interquartile range 4-8). During the ICU stay, 30 patients (17.6%) required invasive mechanical ventilation, 29 (17.0%) vasopressor support, and 16 (9.4%) renal replacement therapy. The one-year survival rate following ICU discharge was 59.5%. Further modifications in hematologic treatment regimens were required in 72 patients (42%). In multivariate analysis, age > 65 years (odds ratio (OR) 3.54 [95%-confidence interval 1.67-7.50], p < 0.001), ICU-discharge hyperbilirubinemia > 20 µmol/L (OR 3.01 [1.10-8.15], p = 0.031), and therapeutic limitations (OR 16.5 [1.83-149.7], p = 0.012) were independently associated with modifications in cancer treatment. Post-ICU modifications of cancer treatment had significant impact on in-hospital, 1-year overall survival and progression-free survival.

CONCLUSION

The intended cancer treatment could be resumed in 58% of ICU survivors with aggressive hematological malignancies. At the time of ICU discharge, advanced age, persistent liver dysfunction and decisions to limit further life-support therapies were independent determinants of cancer treatment modifications. These modifications were associated with worsened one-year outcomes.

Validation of risk scores for prediction of severe pneumonia in kidney transplant recipients hospitalized with community-acquired pneumonia

PURPOSE

Risk scores for community-acquired pneumonia (CAP) are widely used for standardized assessment in immunocompetent patients and to identify patients at risk for severe pneumonia and death. In immunocompromised patients, the prognostic value of pneumonia-specific risk scores seems to be reduced, but evidence is limited. The value of different pneumonia risk scores in kidney transplant recipients (KTR) is not known.

METHODS

Therefore, we retrospectively analyzed 310 first CAP episodes after kidney transplantation in 310 KTR. We assessed clinical outcomes and validated eight different risk scores (CRB-65, CURB-65, DS-CRB-65, qSOFA, SOFA, PSI, IDSA/ATS minor criteria, NEWS-2) for the prognosis of severe pneumonia and in-hospital mortality. Risk scores were assessed up to 48 h after admission, but always before an endpoint occurred. Multiple imputation was performed to handle missing values.

RESULTS

In total, 16 out of 310 patients (5.2%) died, and 48 (15.5%) developed severe pneumonia. Based on ROC analysis, sequential organ failure assessment (SOFA) and national early warning score 2 (NEWS-2) performed best, predicting severe pneumonia with AUC of 0.823 (0.747-0.880) and 0.784 (0.691-0.855), respectively.

CONCLUSION

SOFA and NEWS-2 are best suited to identify KTR at risk for the development of severe CAP. In contrast to immunocompetent patients, CRB-65 should not be used to guide outpatient treatment in KTR, since there is a 7% risk for the development of severe pneumonia even in patients with a score of zero.

Severe Community-Acquired Pneumonia in Immunocompromised Patients

Due to higher survival rates with good quality of life, related to new treatments in the fields of oncology, hematology, and transplantation, the number of immunocompromised patients is increasing. But these patients are at high risk of intensive care unit admission because of numerous complications. Acute respiratory failure due to severe community-acquired pneumonia is one of the leading causes of admission. In this setting, the need for invasive mechanical ventilation is up to 60%, associated with a high hospital mortality rate of around 40 to 50%. A wide range of pathogens according to the reason of immunosuppression is associated with severe pneumonia in those patients: documented bacterial pneumonia represents a third of cases, viral and fungal pneumonia both account for up to 15% of cases. For patients with an undetermined etiology despite comprehensive diagnostic workup, the hospital mortality rate is very high. Thus, a standardized diagnosis strategy should be defined to increase the diagnosis rate and prescribe the appropriate treatment. This review focuses on the benefit-to-risk ratio of invasive or noninvasive strategies, in the era of omics, for the management of critically ill immunocompromised patients with severe pneumonia in terms of diagnosis and oxygenation.

Outcomes of Acute Respiratory Failure in Patients With Cancer in the United States

OBJECTIVE

To determine the epidemiological effect-magnitude and outcomes of patients with cancer vs those without cancer who are hospitalized with acute respiratory failure (ARF).

PATIENTS AND METHODS

We reviewed hospitalizations within the National Inpatient Sample (NIS) database between January 1, 2016, and December 31, 2018. Patients were classified based on a diagnosis of solid-organ cancer, hematologic cancer, or no cancer. Noninvasive positive pressure ventilation (NIPPV) failure was defined as patients who initially received NIPPV and had progression to invasive mechanical ventilation. Weighted samples were used to derive population estimates.

RESULTS

During the study period, there were an estimated 8,837,209 admissions with ARF in the United States, 8.9% (783,625) of which had solid-organ cancer and 2.0% (176,095) had hematologic cancers. Annually, 319,907 patients with cancer are admitted with ARF, with 27.3% (87,302) requiring invasive mechanical ventilation and 10.0% (31,998) requiring NIPPV. In-hospital mortality was higher in patients with cancer vs those without cancer (24.0% [76,813] vs 12.3% [322,465]; P<.001), and this proprotion persisted when stratified by the highest method of oxygen delivery. Patients with cancer had longer hospital length of stay (7.0 days [3.0 to 12.0 days] vs 5.0 days [3.0 to 10.0 days]; P<.001) and were more likely to have NIPPV failure (14.9% [3,992] vs 12.8% [41,875]). Compared with those with solid-organ cancer, patients with hematologic cancers experienced worse outcomes. The association between underlying cancer diagnosis and outcomes remained consistent when adjusted for age, sex, and comorbidities.

CONCLUSION

In the United States, patients with cancer account for over 10% of ARF hospital admissions (959,720 of 8,837,209). They experience an approximately 2-fold higher mortality versus those without cancer. Those with hematologic cancers appear to experience worse outcomes than patients with solid-organ cancers.

How I manage acute respiratory failure in patients with hematological malignancies

ABSTRACT

Acute respiratory failure (ARF) is common in patients with hematological malignancies notably those with acute leukemia, myelodysplastic syndrome, or allogeneic stem cell transplantation. ARF is the leading reason for intensive care unit (ICU) admission, with a 35% case fatality rate. Failure to identify the ARF cause is associated with mortality. A prompt, well-designed diagnostic workup is crucial. The investigations are chosen according to pretest diagnostic probabilities, estimated by the DIRECT approach: D stands for delay, or time since diagnosis; I for pattern of immune deficiency; R and T for radiological evaluation; E refers to clinical experience, and C to the clinical picture. Thorough familiarity with rapid diagnostic tests helps to decrease the use of bronchoscopy with bronchoalveolar lavage, which can cause respiratory status deterioration in those patients with hypoxemia. A prompt etiological diagnosis shortens the time on unnecessary empirical treatments, decreasing iatrogenic harm and costs. High-quality collaboration between intensivists and hematologists and all crossdisciplinary health care workers is paramount. All oxygen delivery systems should be considered to minimize invasive mechanical ventilation. Treatment of the malignancy is started or continued in the ICU under the guidance of the hematologists. The goal is to use the ICU as a bridge to recovery, with the patient returning to the hematology ward in sufficiently good clinical condition to receive optimal anticancer treatment.

The predictive value of the modified early warning score for admission to the intensive care unit in patients with a hematologic malignancy - A multicenter observational study

OBJECTIVES

The modified early warning score (MEWS) is used to detect clinical deterioration of hospitalized patients. We aimed to investigate the predictive value of MEWS and derived quick Sequential Organ Failure Assessment (qSOFA) scores for intensive care unit admission in patients with a hematologic malignancy admitted to the ward.

DESIGN

Retrospective, observational study in two Dutch university hospitals.

SETTING

Data from adult patients with a hematologic malignancy, admitted to the ward over a 2-year period, were extracted from electronic patient files.

MAIN OUTCOME MEASURES

Intensive care admission.

RESULTS

We included 395 patients with 736 hospital admissions; 2% (n = 15) of admissions resulted in admission to the intensive care unit. A higher MEWS (OR 1.5; 95 %CI 1.3-1.80) and qSOFA (OR 4.4; 95 %CI 2.1-9.3) were associated with admission. Using restricted cubic splines, a rise in the probability of admission for a MEWS ≥ 6 was observed. The AUC of MEWS for predicting admission was 0.830, the AUC of qSOFA was 0.752. MEWS was indicative for intensive care unit admission two days before admission.

CONCLUSIONS

MEWS was a sensitive predictor of ICU admission in patients with a hematologic malignancy, superior to qSOFA. Future studies should confirm cut-off values and identify potential additional characteristics, to further enhance identification of critically ill hemato-oncology patients.

IMPLICATIONS FOR CLINICAL PRACTICE

The Modified Early Warning Score (MEWS) can be used as a tool for healthcare providers to monitor clinical deterioration and predict the need for intensive care unit admission in patients with a hematologic malignancy. Yet, consistent application and potential reevaluation of current thresholds is crucial. This will enable bedside nurses to more effectively identify patients needing adjunctive care, facilitating timely interventions and improved outcome.

Deep Learning-Based Early Warning Score for Predicting Clinical Deterioration in General Ward Cancer Patients

BACKGROUND

Cancer patients who are admitted to hospitals are at high risk of short-term deterioration due to treatment-related or cancer-specific complications. A rapid response system (RRS) is initiated when patients who are deteriorating or at risk of deteriorating are identified. This study was conducted to develop a deep learning-based early warning score (EWS) for cancer patients (Can-EWS) using delta values in vital signs.

METHODS

A retrospective cohort study was conducted on all oncology patients who were admitted to the general ward between 2016 and 2020. The data were divided into a training set (January 2016-December 2019) and a held-out test set (January 2020-December 2020). The primary outcome was clinical deterioration, defined as the composite of in-hospital cardiac arrest (IHCA) and unexpected intensive care unit (ICU) transfer.

RESULTS

During the study period, 19,739 cancer patients were admitted to the general wards and eligible for this study. Clinical deterioration occurred in 894 cases. IHCA and unexpected ICU transfer prevalence was 1.77 per 1000 admissions and 43.45 per 1000 admissions, respectively. We developed two models: Can-EWS V1, which used input vectors of the original five input variables, and Can-EWS V2, which used input vectors of 10 variables (including an additional five delta variables). The cross-validation performance of the clinical deterioration for Can-EWS V2 (AUROC, 0.946; 95% confidence interval [CI], 0.943-0.948) was higher than that for MEWS of 5 (AUROC, 0.589; 95% CI, 0.587-0.560; p < 0.001) and Can-EWS V1 (AUROC, 0.927; 95% CI, 0.924-0.931). As a virtual prognostic study, additional validation was performed on held-out test data. The AUROC and 95% CI were 0.588 (95% CI, 0.588-0.589), 0.890 (95% CI, 0.888-0.891), and 0.898 (95% CI, 0.897-0.899), for MEWS of 5, Can-EWS V1, and the deployed model Can-EWS V2, respectively. Can-EWS V2 outperformed other approaches for specificities, positive predictive values, negative predictive values, and the number of false alarms per day at the same sensitivity level on the held-out test data.

CONCLUSIONS

We have developed and validated a deep learning-based EWS for cancer patients using the original values and differences between consecutive measurements of basic vital signs. The Can-EWS has acceptable discriminatory power and sensitivity, with extremely decreased false alarms compared with MEWS.

Prognosis of critically ill immunocompromised patients with virus-detected acute respiratory failure

BACKGROUND

Acute respiratory failure (ARF) is the leading cause of ICU admission. Viruses are increasingly recognized as a cause of pneumonia in immunocompromised patients, but epidemiologic data are scarce. We used the Groupe de Recherche en Réanimation Respiratoire en Onco-Hématologie's database (2003-2017, 72 intensive care units) to describe the spectrum of critically ill immunocompromised patients with virus-detected ARF and to report their outcomes. Then, patients with virus-detected ARF were matched based on clinical characteristics and severity (1:3 ratio) with patients with ARF from other origins.

RESULTS

Of the 4038 immunocompromised patients in the whole cohort, 370 (9.2%) had a diagnosis of virus-detected ARF and were included in the study. Influenza was the most common virus (59%), followed by respiratory syncytial virus (14%), with significant seasonal variation. An associated bacterial infection was identified in 79 patients (21%) and an invasive pulmonary aspergillosis in 23 patients (6%). The crude in-hospital mortality rate was 37.8%. Factors associated with mortality were: neutropenia (OR = 1.74, 95% confidence interval, CI [1.05-2.89]), poor performance status (OR = 1.84, CI [1.12-3.03]), and the need for invasive mechanical ventilation on the day of admission (OR = 1.97, CI [1.14-3.40]). The type of virus was not associated with mortality. After matching, patients with virus-detected ARF had lower mortality (OR = 0.77, CI [0.60-0.98]) than patients with ARF from other causes. This result was mostly driven by influenza-like viruses, namely, respiratory syncytial virus, parainfluenza virus, and human metapneumovirus (OR = 0.54, CI [0.33-0.88]).

CONCLUSIONS

In immunocompromised patients with virus-detected ARF, mortality is high, whatever the species, mainly influenced by clinical severity and poor general status. However, compared to non-viral ARF, in-hospital mortality was lower, especially for patients with detected viruses other than influenza.

Sepsis and acute respiratory failure in patients with cancer: how can we improve care and outcomes even further?

PURPOSE OF REVIEW

Care and outcomes of critically ill patients with cancer have improved over the past decade. This selective review will discuss recent updates in sepsis and acute respiratory failure among patients with cancer, with particular focus on important opportunities to improve outcomes further through attention to phenotyping, predictive analytics, and improved outcome measures.

RECENT FINDINGS

The prevalence of cancer diagnoses in intensive care units (ICUs) is nontrivial and increasing. Sepsis and acute respiratory failure remain the most common critical illness syndromes affecting these patients, although other complications are also frequent. Recent research in oncologic sepsis has described outcome variation - including ICU, hospital, and 28-day mortality - across different types of cancer (e.g., solid vs. hematologic malignancies) and different sepsis definitions (e.g., Sepsis-3 vs. prior definitions). Research in acute respiratory failure in oncology patients has highlighted continued uncertainty in the value of diagnostic bronchoscopy for some patients and in the optimal respiratory support strategy. For both of these syndromes, specific challenges include multifactorial heterogeneity (e.g. in etiology and/or underlying cancer), delayed recognition of clinical deterioration, and complex outcomes measurement.

SUMMARY

Improving outcomes in oncologic critical care requires attention to the heterogeneity of cancer diagnoses, timely recognition and management of critical illness, and defining appropriate ICU outcomes.

Outcomes of CAR-T Cell Therapy Recipients Admitted to the ICU: In Search for a Standard of Care-A Brief Overview and Meta-Analysis of Proportions

OBJECTIVE

Our primary objective was to describe the baseline characteristics, main reasons for intensive care unit (ICU) admission, and interventions required in the ICU across patients who received CAR-T cell immunotherapy. The secondary objectives were to evaluate different outcomes (ICU mortality) across patients admitted to the ICU after having received CAR-T cell therapy.

MATERIALS AND METHODS

We performed a medical literature review, which included MEDLINE, Embase, and Cochrane Library, of studies published from the inception of the databases until 2022. We conducted a systematic review with meta-analyses of proportions of several studies, including CAR-T cell-treated patients who required ICU admission. Outcomes in the meta-analysis were evaluated using the random-effects model.

RESULTS

We included four studies and analyzed several outcomes, including baseline characteristics and ICU-related findings. CAR-T cell recipients admitted to the ICU are predominantly males (62% CI-95% (57-66)). Of the total CAR-T cell recipients, 4% CI-95% (3-5) die in the hospital, and 6% CI-95% (4-9) of those admitted to the ICU subsequently die. One of the main reasons for ICU admission is acute kidney injury (AKI) in 15% CI-95% (10-19) of cases and acute respiratory failure in 10% CI-95% (6-13) of cases. Regarding the interventions initiated in the ICU, 18% CI-95% (13-22) of the CAR-T recipients required invasive mechanical ventilation during their ICU stay, 23% CI-95% (16-30) required infusion of vasoactive drugs, and 1% CI-95% (0.1-3) required renal replacement therapy (RRT). 18% CI-95% (13-22) of the initially discharged patients were readmitted to the ICU within 30 days, and the mean length of hospital stay is 22 days CI-95% (19-25). The results paint a current state of matter in CAR-T cell recipients admitted to the ICU.

CONCLUSIONS

To better understand immunotherapy-related complications from an ICU standpoint, acknowledge the deteriorating patient on the ward, reduce the ICU admission rate, advance ICU care, and improve the outcomes of these patients, a standard of care and research regarding CAR-T cell-based immunotherapies should be created. Studies that are looking from the perspective of intensive care are highly warranted because the available literature regarding this area is scarce.

Characteristics and outcomes of patients with acute myeloid leukemia admitted to intensive care unit with acute respiratory failure: a post-hoc analysis of a prospective multicenter study

BACKGROUND

Acute respiratory failure (ARF) is the leading cause of intensive care unit (ICU) admission in patients with Acute Myeloid Leukemia (AML) and data on prognostic factors affecting short-term outcome are needed.

METHODS

This is a post-hoc analysis of a multicenter, international prospective cohort study on immunocompromised patients with ARF admitted to ICU. We evaluated hospital mortality and associated risk factors in patients with AML and ARF; secondly, we aimed to define specific subgroups within our study population through a cluster analysis.

RESULTS

Overall, 201 of 1611 immunocompromised patients with ARF had AML and were included in the analysis. Hospital mortality was 46.8%. Variables independently associated with mortality were ECOG performance status ≥ 2 (OR = 2.79, p = 0.04), cough (OR = 2.94, p = 0.034), use of vasopressors (OR = 2.79, p = 0.044), leukemia-specific pulmonary involvement [namely leukostasis, pulmonary infiltration by blasts or acute lysis pneumopathy (OR = 4.76, p = 0.011)] and liver SOFA score (OR = 1.85, p = 0.014). Focal alveolar chest X-ray pattern was associated with survival (OR = 0.13, p = 0.001). We identified 3 clusters, that we named on the basis of the most frequently clinical, biological and radiological features found in each cluster: a "leukemic cluster", with high-risk AML patients with isolated, milder ARF; a "pulmonary cluster", consisting of symptomatic, highly oxygen-requiring, severe ARF with diffuse radiological findings in heavily immunocompromised patients; a clinical "inflammatory cluster", including patients with multi-organ failures in addition to ARF. When included in the multivariate analysis, cluster 2 and 3 were independently associated with hospital mortality.

CONCLUSIONS

Among AML patients with ARF, factors associated with a worse outcome are related to patient's background (performance status, leukemic pulmonary involvement), symptoms, radiological findings, the need for vasopressors and the liver SOFA score. We identified three specific ARF syndromes in AML patients, which showed a prognostic significance and could guide clinicians to optimize management strategies.

Predictors of intensive care unit admission in adult cancer patients presenting to the emergency department with COVID-19 infection: A retrospective study

BACKGROUND

Adult cancer patients with COVID-19 were shown to be at higher risk of Intensive Care Unit (ICU) admission. Previously published prediction models showed controversy and enforced the importance of heterogeneity among different populations studied. Therefore, this study aimed to identify predictors of ICU admission (demographic, clinical, and COVID-19 targeted medications) in cancer patients with active COVID-19 infection presenting to the Emergency Department (ED).

METHODS

This is a retrospective cohort study. It was conducted on adult cancer patients older than 18 years who presented to the American University of Beirut Medical Center ED from February 21, 2020, till February 21, 2021, and were found to have COVID-19 infection. Relevant data were extracted from electronic medical records. The association between different variables and ICU admission was tested. Logistic regression was done to adjust for confounding variables. A p-value less than 0.05 was considered significant.

RESULTS

Eighty-nine distinct patients were included. About 37% were admitted to the ICU (n = 33). Higher ICU admission was seen in patients who had received chemotherapy within one month, had a respiratory rate at triage above 22 breaths per minute, oxygen saturation less than 95%, and a higher c-reactive protein upon presentation to the ED. After adjusting for confounding variables, only recent chemotherapy and higher respiratory rate at triage were significantly associated with ICU admission.

CONCLUSION

Physicians need to be vigilant when taking care of COVID-19 infected cancer patients. Patients who are tachypneic at presentation and those who have had chemotherapy within one month are at high risk for ICU admission.

Clinical spectrum and prognostic impact of cancer in critically ill patients with HIV: a multicentre cohort study

BACKGROUND

Both AIDS-defining and non-AIDS-defining cancers (ADC/NADC) predispose people living with HIV (PLHIV) to critical illnesses. The objective of this multicentre study was to investigate the prognostic impact of ADC and NADC in PLHIV admitted to the intensive care unit (ICU).

METHODS

All PLHIV admitted over the 2015-2020 period in 12 university-affiliated ICUs in France were included in the study cohort. The effect of ADC and NADC on in-hospital mortality (primary study endpoint) was measured through logistic regression with augmented backward elimination of potential independent variables. The association between ADC/NADC and treatment limitation decision (TLD) during the ICU stay (secondary study endpoint) was analysed. One-year mortality in patients discharged alive from the index hospital admission (exploratory study endpoint) was compared between those with ADC, NADC or no cancer.

RESULTS

Amongst the 939 included PLHIV (median age, 52 [43-59] years; combination antiretroviral therapy, 74.4%), 97 (10.3%) and 106 (11.3%) presented with an active NADC (mostly lung and intestinal neoplasms) and an active ADC (predominantly AIDS-defining non-Hodgkin lymphoma), respectively. Inaugural admissions were common. Bacterial sepsis and non-infectious neoplasm-related complications accounted for most of admissions in these subgroups. Hospital mortality was 12.4% in patients without cancer, 30.2% in ADC patients and 45.4% in NADC patients (P < 0.0001). NADC (adjusted odds ratio [aOR], 7.00; 95% confidence interval [CI], 4.07-12.05) and ADC (aOR, 3.11; 95% CI 1.76-5.51) were independently associated with in-hospital death after adjustment on severity and frailty markers. The prevalence of TLD was 8.0% in patients without cancer, 17.9% in ADC patients and 33.0% in NADC patients (P < 0.0001)-organ failures and non-neoplastic comorbidities were less often considered in patients with cancer. One-year mortality in survivors of the index hospital admission was 7.8% in patients without cancer, 17.0% in ADC patients and 33.3% in NADC patients (P < 0.0001).

CONCLUSIONS

NADC and ADC are equally prevalent, stand as a leading argument for TLD, and strongly predict in-hospital death in the current population of PLHIV requiring ICU admission.

Dynamic Prediction of Patient Outcomes in the Intensive Care Unit: A Scoping Review of the State-of-the-Art

INTRODUCTION

Intensive care units (ICUs) are high-pressure, complex, technology-intensive medical environments where patient physiological data are generated continuously. Due to the complexity of interpreting multiple signals at speed, there are substantial opportunities and significant potential benefits in providing ICU staff with additional decision support and predictive modeling tools that can support and aid decision-making in real-time.This scoping review aims to synthesize the state-of-the-art dynamic prediction models of patient outcomes developed for use in the ICU. We define "dynamic" models as those where predictions are regularly computed and updated over time in response to updated physiological signals.

METHODS

Studies describing the development of predictive models for use in the ICU were searched, using PubMed. The studies were screened as per Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, and the data regarding predicted outcomes, methods used to develop the predictive models, preprocessing the data and dealing with missing values, and performance measures were extracted and analyzed.

RESULTS

A total of n = 36 studies were included for synthesis in our review. The included studies focused on the prediction of various outcomes, including mortality (n = 17), sepsis-related complications (n = 12), cardiovascular complications (n = 5), and other complications (respiratory, renal complications, and bleeding, n = 5). The most common classification methods include logistic regression, random forest, support vector machine, and neural networks.

CONCLUSION

The included studies demonstrated that there is a strong interest in developing dynamic prediction models for various ICU patient outcomes. Most models reported focus on mortality. As such, the development of further models focusing on a range of other serious and well-defined complications-such as acute kidney injury-would be beneficial. Furthermore, studies should improve the reporting of key aspects of model development challenges.

The Effect of Continuous Versus Periodic Vital Sign Monitoring on Disease Severity of Patients with an Unplanned ICU Transfer

Continuous vital sign monitoring (CM) may detect ward patient's deterioration earlier than periodic monitoring. This could result in timely ICU transfers or in a transfer delay due to misperceived higher level of care on the ward. The primary objective of this study was to compare patient's disease severity upon unplanned ICU transfer, before and after CM implementation. We included a one-year period before and after CM implementation between August 1, 2017 - July 31, 2019. Before implementation, surgical and internal medicine patients' vital signs were periodically monitored, compared to continuous monitoring with wireless linkage to hospital systems after implementation. In both periods the same early warning score (EWS) protocol was in place. Primary outcome was disease severity scores upon ICU transfer. Secondary outcomes were ICU and hospital length of stay, incidence of mechanical ventilation and ICU mortality. In the two one-year periods 93 and 59 unplanned ICU transfer episodes were included, respectively. Median SOFA (3 (2-6) vs 4 (2-7), p = .574), APACHE II (17 (14-20) vs 16 (14-21), p = .824) and APACHE IV (59 (46-67) vs 50 (36-65), p = .187) were comparable between both periods, as were the median ICU LOS (3.0 (1.7-5.8) vs 3.1 (1.6-6.1), p.962), hospital LOS (23.6 (11.5-38.0) vs 19 (13.9-39.2), p = .880), incidence of mechanical ventilation (28 (47%) vs 22 (54%), p.490), and ICU mortality (11 (13%) vs 10 (19%), p.420). This study shows no difference in disease severity upon unplanned ICU transfer after CM implementation for patients who have deteriorated on the ward.

[Invasive mechanical ventilation in patients with solid tumor or hematological malignancy]

Invasive mechanical ventilation in onco-hematology patients has become relatively routine, and is now part and parcel of their care pathway. Nevertheless, specific complications and subsequent therapeutic possibilities require discussion. To a greater extent than with regard to other patient populations, cooperation between specialist and ICU physician is mandatory, the objective being to more comprehensively assess a therapeutic project before or during the period of invasive mechanical ventilation. After an overview of recent results concerning ventilated patients in intensive care, this review aims to describe the specific complications and factors associated with mortality in this population.

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.

Outcomes and Prognostic Factors in Critical Patients with Hematologic Malignancies

Patients with hematologic malignancies (HMs) have a significantly elevated risk of mortality compared to other cancer patients treated in the intensive care unit (ICU). The prognostic impact of numerous poor outcome indicators has changed, and research has yielded conflicting results. This study aims to determine the ICU and hospital outcomes and risk factors that predict the prognosis of critically ill patients with HMs. In this retrospective study, conducted at a referral hospital in Taiwan, 213 adult patients with HMs who were admitted to the medical ICU were evaluated. We collected clinical data upon hospital and ICU admission. Using a multivariate regression analysis, the predictors of ICU and hospital mortality were assessed. Then, a scoring system (Hospital outcome of critically ill patients with Hematological Malignancies (HHM)) was built to predict hospital outcomes. Most HMs (76.1%) were classified as high grade, and more than one-third of patients experienced a relapsed or refractory disease. The ICU and hospital mortality rates were 55.9% and 71.8%, respectively. Moreover, the disease severity was high (median Sequential Organ Failure Assessment (SOFA) score: 11 and Acute Physiology and Chronic Health Evaluation (APACHE II) score: 28). The multivariate analysis revealed that high-grade HMs, invasive mechanical ventilation requirement, renal replacement therapy initiation in the ICU, and a high SOFA score correlated with ICU mortality. Furthermore, a higher HHM score predicted hospital mortality. This study demonstrates that ICU mortality primarily correlates with the severity of organ dysfunction, whereas the disease status markedly influences hospital outcomes. Furthermore, the HHM score significantly predicts hospital mortality.

Critical care for multimorbid patients

Multimorbidity - the simultaneous presence of several chronic diseases - is very common in the critically ill patients. Its prevalence is roughly 40-85 % and continues to increase further. Certain chronic diseases such as diabetes, obesity, chronic heart, pulmonary, liver or kidney disease and malignancy are associated with higher risk of developing serious acute complications and therefore the possible need for intensive care. This review summarizes and discusses selected specifics of critical care for multimorbid patients.

Prognostic Impact of Neutropenia in Cancer Patients with Septic Shock: A 2009–2017 Nationwide Cohort Study

Simple Summary

The prognostic impact of neutropenia on mortality in cancer patients with septic shock remains controversial despite recent advances in cancer and sepsis management. This study aimed to determine whether neutropenia could be related to an increase in short-term and long-term mortality. This population-based, case–control study used data from the National Health Insurance Service of Korea. Adult cancer patients who presented to the emergency department with septic shock from 2009 to 2017 were analyzed. The 30-day and 1-year mortality rates were evaluated as short-term and long-term outcomes. After adjustment for confounders, neutropenia was independently associated with decreased 30-day and 1-year mortality rates. Neutropenia did not increase mortality in cancer patients with septic shock, suggesting that neutropenia may not be used as a single triage criterion for withholding intensive care in cancer patients presenting to the emergency department with septic shock.

Abstract

(1) Background: Neutropenia’s prognostic impact on mortality in cancer patients with septic shock remains controversial despite recent advances in cancer and sepsis management. This population-based, case–control study aimed to determine whether neutropenia could be related to an increase in short-term and long-term mortality. (2) Methods: This population-based, case–control study used data from the National Health Insurance Service of Korea. Adult cancer patients who presented to the emergency department with septic shock from 2009 to 2017 were included. The 30-day and 1-year mortality rates were evaluated as short-term and long-term outcomes. Cox proportional hazard regression was performed after adjusting for age, sex, Charlson comorbidity index, and neutropenia. (3) Results: In 43,466 adult cancer patients with septic shock, the 30-day and 1-year mortality rates were 52.1% and 81.3%, respectively. In total, 6391 patients had neutropenic septic shock, and the prevalent cancer type was lung cancer, followed by leukemia, non-Hodgkin’s lymphoma, stomach cancer, and colon cancer. Furthermore, 30-day and 1-year mortality was lower in patients with neutropenia than in those without neutropenia. After adjustment for confounders, neutropenia was independently associated with decreased 30-day and 1-year mortality rates. (4) Conclusions: In cancer patients presenting to the emergency department with septic shock, the presence of neutropenia did not increase mortality. This suggests that neutropenia may not be used as a single triage criterion for withholding intensive care in cancer patients presenting to the emergency department with septic shock.

A critical care outreach team under strain - Evaluation of the service provided to patients with haematological malignancy during the Covid-19 pandemic

Purpose

Critical Care Outreach Teams (CCOTs) have been associated with improved outcomes in patients with haematological malignancy (HM). This study aims to describe CCOT activation by patients with HM before and during the Covid-19 pandemic, assess amny association with worse outcomes, and examine the psychological impact on the CCOT.

Materials and methods

A retrospective, mixed-methods analysis was performed in HM patients reviewed by the CCOT over a two-year period, 01 July 2019 to 31 May 2021.

Results

The CCOT increased in size during the surge period and reviewed 238 HM patients, less than in the pre- and post-surge periods. ICU admission in the baseline, surge and the non-surge periods were 41.7%, 10.4% and 47.9% respectively. ICU mortality was 22.5%, 0% and 21.7% for the same times. Time to review was significantly decreased (p = 0.012). Semi-structured interviews revealed four themes of psychological distress: 1) time-critical work; 2) non-evidence based therapies; 3) feelings of guilt; 4) increased decision-making responsibility.

Conclusions

Despite the increase in total hospital referrals, the number of patients with HM that were reviewed during the surge periods decreased, as did their ICU admission rate and mortality. The quality of care provided was not impaired, as reflected by the number of patients receiving bedside reviews and the shorter-than-pre-pandemic response time.

[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.

High-flow nasal cannula failure in critically ill cancer patients with acute respiratory failure: Moving from avoiding intubation to avoiding delayed intubation

Background

High-flow nasal cannula (HFNC) is increasingly used in critically ill cancer patients with acute respiratory failure (ARF) to avoid mechanical ventilation (MV). The objective was to assess prognostic factors associated with mortality in ICU cancer patients requiring MV after HFNC failure, and to identify predictive factors of intubation.

Methods

We conducted a retrospective study from 2012–2016 in a cancer referral center. All consecutive onco-hematology adult patients admitted to the ICU treated with HFNC were included. HFNC failure was defined by intubation requirement.

Results

202 patients were included, 104 successfully treated with HFNC and 98 requiring intubation. ICU and hospital mortality rates were 26.2% (n = 53) and 42.1% (n = 85) respectively, and 53.1% (n = 52) and 68.4% (n = 67) in patients requiring MV. Multivariate analysis identified 4 prognostic factors of hospital mortality after HFNC failure: complete/partial remission (OR = 0.2, 95%CI = 0.04–0.98, p<0.001) compared to patients with refractory/relapse disease (OR = 3.73, 95%CI = 1.08–12.86), intubation after day 3 (OR = 7.78, 95%CI = 1.44–41.96), number of pulmonary quadrants involved on chest X-ray (OR = 1.93, 95%CI = 1.14–3.26, p = 0.01) and SAPSII at ICU admission (OR = 1.06, 95%CI = 1–1.12, p = 0.019). Predictive factors of intubation were the absence of sepsis (sHR = 0.32, 95%CI = 0.12–0.74, p = 0.0087), Sp02<95% 15 minutes after HFNC initiation (sHR = 2.05, 95%CI = 1.32–3.18, p = 0.0014), number of quadrants on X-ray (sHR = 1.73, 95%CI = 1.46–2.06, p<0.001), Fi02>60% at HFNC initiation (sHR = 3.12, 95%CI = 2.06–4.74, p<0.001) and SAPSII at ICU admission (sHR = 1.03, 95%CI = 1.02–1.05, p<0.01).

Conclusion

Duration of HFNC may be predictive of an excess mortality in ARF cancer patients. Early warning scores to predict HFNC failure are needed to identify patients who would benefit from early intubation.

Effect of a delayed admission to the intensive care unit on survival after emergency department visit in patients with cancer: a retrospective observational study

BACKGROUND AND IMPORTANCE

Delayed admission to the ICU is reported to be associated with worse outcomes in cancer patients.

OBJECTIVE

The main objective of this study was to compare the 180-day survival of cancer patients whether they were directly admitted to the ICU from the emergency department (ED) or secondarily from the wards after the ED visit.

DESIGN, SETTINGS AND PARTICIPANTS

This was a retrospective observational study including all adult cancer patients that visited the ED in 2018 and that were admitted to the ICU at some point within 7 days from the ED visit.

EXPOSURE

Delayed ICU admission.

OUTCOME MEASURE AND ANALYSIS

Survival at day 180 was plotted using Kaplan-Meier curves, and hazard ratio (HR) from Cox proportional-hazard models was used to quantify the association between admission modality (directly from the ED or later from wards) and survival at day 180, after adjustment to baseline characteristics.

RESULTS

During the study period, 4560 patients were admitted to the hospital following an ED visit, among whom 136 (3%) patients had cancer and were admitted to the ICU, either directly from the ED in 101 (74%) cases or secondarily from the wards in 35 (26%) cases. Patients admitted to the ICU from the ED had a better 180-day survival than those admitted secondarily from wards (log-rank P = 0.006). After adjustment to disease status (remission or uncontrolled malignancy), survival at day 180 was significantly improved in the case of admission to the ICU directly from the ED with an adjusted HR of 0.50 (95% confidence interval, 0.26-0.95), P = 0.03.

CONCLUSION

In ED patients with cancer, a direct admission to the ICU was associated with better 180-day survival compared with patients with a delayed ICU admission secondary from the wards. However, several confounders were not taken into account, which limits the validity of this result.

High-flow nasal cannula oxygen in patients with haematological malignancy: a retrospective observational study

Patients with haematological malignancies (HM) face high rates of intensive care unit (ICU) admission and mortality. High-flow nasal cannula oxygen (HFNCO) is increasingly used to support HM patients in ward settings, but there is limited evidence on the safety and efficacy of HFNCO in this group. We retrospectively reviewed all HM patients receiving ward-based HFNCO, supervised by a critical care outreach service (CCOS), from January 2014 to January 2019. We included 130 consecutive patients. Forty-three (33.1%) were weaned off HFNCO without ICU admission. Eighty-seven (66.9%) were admitted to ICU, 20 (23.3%) required non-invasive and 34 (39.5%) invasive mechanical ventilation. ICU and hospital mortality were 42% and 55% respectively. Initial FiO₂ < 0.4 (OR 0.27, 95% CI 0.09-0.81, p = 0.019) and HFNCO use on the ward > 1 day (OR 0.16, 95% CI 0.04, 0.59, p = 0.006) were associated with reduced likelihood for ICU admission. Invasive ventilation was associated with reduced survival (OR 0.27, 95%CI 0.1-0.7, p = 0.007). No significant adverse events were reported. HM patients receiving ward-based HFNCO have higher rates of ICU admission, but comparable hospital mortality to those requiring CCOS review without respiratory support. Results should be interpreted cautiously, as the model proposed depends on the existence of CCOS.

Symptom experiences of critically-ill hematologic malignancy patients: A scoping review

CONTEXT

Critically-ill patients with hematologic malignancies are increasingly admitted to intensive care units globally. Unrelieved symptoms during intensive care treatment may contribute to poor outcomes.

OBJECTIVE

To better understand the symptom experience(s) for critically-ill patients with hematologic malignancies.

METHODS

A scoping review was conducted searching Medline, CINAHL, PychInfo, Embase, and ProQuest databases, the Cochrane Library, and the grey literature between January 1st, 1990 and July 15th, 2020. Two authors independently reviewed articles for inclusion and verified abstracted data.

RESULTS

Seventeen articles met inclusion criteria, including 11 cohort studies, 1 case-control study, and five review articles. No qualitative or mixed-method studies were retrieved. Symptoms were reported as the primary outcome across two studies (17%). Reported hematologic malignancy subtypes included leukemia and/or myelodysplastic syndrome (9, 53%), lymphoma (8, 47%), multiple myeloma (7, 41%), and aplastic anemia (2, 12%). The principal indication for ICU admission was respiratory failure, followed by cardiogenic shock/cardiac failure, endocrine disturbances, sepsis, and neurological failure. Only one study used validated tools for evaluating symptoms. Thirty-four symptoms were reported: altered level of consciousness/coma (35%); diarrhea (35%); nausea (35%); dyspnea (35%); vomiting (29%); and pain (29%). Two articles (13%) identified symptom clusters.

CONCLUSION

There is minimal research that measures and explores the symptom experiences of critically-ill patients with hematologic malignancies. New research in this domain is needed to inform targeted symptom care for this vulnerable patient population.

A biomarker panel for risk of early respiratory failure following hematopoietic cell transplantation

This study identified and validated ST2, WFDC2, IL-6, and TNFR1 as risk biomarkers for RF and related mortality post-HCT.

Plasma biomarkers associated with respiratory failure (RF) following hematopoietic cell transplantation (HCT) have not been identified. Therefore, we aimed to validate early (7 and 14 days post-HCT) risk biomarkers for RF. Using tandem mass spectrometry, we compared plasma obtained at day 14 post-HCT from 15 patients with RF and 15 patients without RF. Six candidate proteins, from this discovery cohort or identified in the literature, were measured by enzyme-linked immunosorbent assay in day-7 and day-14 post-HCT samples from the training (n = 213) and validation (n = 119) cohorts. Cox proportional-hazard analyses with biomarkers dichotomized by Youden’s index, as well as landmark analyses to determine the association between biomarkers and RF, were performed. Of the 6 markers, Stimulation-2 (ST2), WAP 4-disulfide core domain protein 2 (WFDC2), interleukin-6 (IL-6), and tumor necrosis factor receptor 1 (TNFR1), measured at day 14 post-HCT, had the most significant association with an increased risk for RF in the training cohort (ST2: hazard ratio [HR], 4.5, P = .004; WFDC2: HR, 4.2, P = .010; IL-6: HR, 6.9, P < .001; and TFNR1: HR, 6.1, P < .001) and in the validation cohort (ST2: HR, 23.2, P = .013; WFDC2: HR, 18.2, P = .019; IL-6: HR, 12.2, P = .014; and TFNR1: HR, 16.1, P = .001) after adjusting for the conditioning regimen. Using cause-specific landmark analyses, including days 7 and 14, high plasma levels of ST2, WFDC2, IL-6, and TNFR1 were associated with an increased HR for RF in the training and validation cohorts. These biomarkers were also predictive of mortality from RF. ST2, WFDC2, IL-6 and TNFR1 levels measured early posttransplantation improve risk stratification for RF and its related mortality.

One-year mortality of hematopoietic stem cell recipients admitted to an intensive care unit in a dedicated Brazilian cancer center: a retrospective cohort study

BACKGROUND

Hematopoietic stem cell transplantation (HSCT) recipients requiring intensive care unit (ICU) admission early after transplantation have a poor prognosis. However, many studies have only focused on allogeneic HSCT recipients.

OBJECTIVES

To describe the characteristics of HSCT recipients admitted to the ICU shortly after transplantation and assess differences in 1-year mortality between autologous and allogeneic HSCT recipients.

DESIGN AND SETTING

A single-center retrospective cohort study in a cancer center in Brazil.

METHODS

We included all consecutive patients who underwent HSCT less than a year before ICU admission between 2009 and 2018. We collected clinical and demographic data and assessed the 1-year mortality of all patients. The effect of allogeneic HSCT compared with autologous HSCT on 1-year mortality risk was evaluated in an unadjusted model and an adjusted Cox proportional hazard model for age and Sequential Organ Failure Assessment (SOFA) at admission.

RESULTS

Of the 942 patients who underwent HSCT during the study period, 83 (8.8%) were included in the study (autologous HSCT = 57 [68.7%], allogeneic HSCT = 26 [31.3%]). At 1 year after ICU admission, 21 (36.8%) and 18 (69.2%) patients who underwent autologous and allogeneic HSCT, respectively, had died. Allogeneic HSCT was associated with increased 1-year mortality (unadjusted hazard ratio, HR = 2.79 [confidence interval, CI, 95%, 1.48-5.26]; adjusted HR = 2.62 [CI 95%, 1.29-5.31]).

CONCLUSION

Allogeneic HSCT recipients admitted to the ICU had higher short- and long-term mortality rates than autologous HSCT recipients, even after adjusting for age and severity at ICU admission.

Cancer-Related Characteristics Associated With Invasive Mechanical Ventilation or In-Hospital Mortality in Patients With COVID-19 Admitted to ICU: A Cohort Multicenter Study

Background

Coexistence of cancer and COVID-19 is associated with worse outcomes. However, the studies on cancer-related characteristics associated with worse COVID-19 outcomes have shown controversial results. The objective of the study was to evaluate cancer-related characteristics associated with invasive mechanical ventilation use or in-hospital mortality in patients with COVID-19 admitted to intensive care unit (ICU).

Methods

We designed a cohort multicenter study including adults with active cancer admitted to ICU due to COVID-19. Seven cancer-related characteristics (cancer status, type of cancer, metastasis occurrence, recent chemotherapy, recent immunotherapy, lung tumor, and performance status) were introduced in a multilevel logistic regression model as first-level variables and hospital was introduced as second-level variable (random effect). Confounders were identified using directed acyclic graphs.

Results

We included 274 patients. Required to undergo invasive mechanical ventilation were 176 patients (64.2%) and none of the cancer-related characteristics were associated with mechanical ventilation use. Approximately 155 patients died in hospital (56.6%) and poor performance status, measured with the Eastern Cooperative Oncology Group (ECOG) score was associated with increased in-hospital mortality, with odds ratio = 3.54 (1.60–7.88, 95% CI) for ECOG =2 and odds ratio = 3.40 (1.60–7.22, 95% CI) for ECOG = 3 to 4. Cancer status, cancer type, metastatic tumor, lung cancer, and recent chemotherapy or immunotherapy were not associated with in-hospital mortality.

Conclusions

In patients with active cancer and COVID-19 admitted to ICU, poor performance status was associated with in-hospital mortality but not with mechanical ventilation use. Cancer status, cancer type, metastatic tumor, lung cancer, and recent chemotherapy or immunotherapy were not associated with invasive mechanical ventilation use or in-hospital mortality.

Oxygenation strategy during acute respiratory failure in immunocompromised patients

Acute respiratory failure (ARF) in immunocompromised patients remains challenging to treat. A large number of case require admission to intensive care unit (ICU) where mortality remains high. Oxygenation without intubation is important in this setting. This review summarizes recent studies assessing oxygenation devices for immunocompromised patients. Previous studies showed that non-invasive ventilation (NIV) has been associated with lower intubation and mortality rates. Indeed, in recent years, the outcomes of immunocompromised patients admitted to the ICU have improved. In the most recent randomized controlled trials, including immunocompromised patients admitted to the ICU with ARF, neither NIV nor high-flow nasal oxygen (HFNO) could reduce the mortality rate. In this setting, other strategies need to be tested to decrease the mortality rate. Early admission strategy and avoiding late failure of oxygenation strategy have been assessed in retrospective studies. However, objective criteria are still lacking to clearly discriminate time to admission or time to intubation. Also, diagnosis strategy may have an impact on intubation or mortality rates. On the other hand, lack of diagnosis has been associated with a higher mortality rate. In conclusion, improving outcomes in immunocompromised patients with ARF may include strategies other than the oxygenation strategy alone. This review discusses other unresolved questions to decrease mortality after ICU admission in such patients.

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?

Management strategy for hematological malignancy patients with acute respiratory failure

Acute respiratory failure (ARF) is still the major cause of intensive care unit (ICU) admission for hematological malignancy (HM) patients although the advance in hematology and supportive care has greatly improved the prognosis. Clinicians have to make decisions whether the HM patients with ARF should be sent to ICU and which ventilation support should be administered. Based on the reported investigations related to management of HM patients with ARF, we propose a selection procedure to manage this population and recommend hematological ICU as the optimal setting to recuse these patients, where hematologists and intensivists can collaborate closely and improve the outcomes. Moreover, noninvasive ventilation (NIV) still has its own place for selected HM patients with ARF who have mild hypoxemia and reversible causes. It is also crucial to monitor the efficacy of NIV closely and switch to invasive mechanical ventilation at appropriate timing when NIV shows no apparent improvement. Otherwise, early IMV should be initiated to HM with ARF who have moderate and severe hypoxemia, adult respiratory distress syndrome, multiple organ dysfunction, and unstable hemodynamic. More studies are needed to elucidate the predictors of ICU mortality and ventilatory mode for HM patients with ARF.

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.

Sepsis and Septic Shock in Patients With Malignancies: A Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique Study

OBJECTIVES

Cancer affects up to 20% of critically ill patients, and sepsis is one of the leading reasons for ICU admission in this setting. Early signals suggested that survival might be increasing in this population. However, confirmation studies have been lacking. The goal of this study was to assess trends in survival rates over time in cancer patients admitted to the ICU for sepsis or septic shock over the last 2 decades.

DATA SOURCE

Seven European ICUs.

STUDY SELECTION

A hierarchical model taking into account the year of admission and the source dataset as random variables was used to identify risk factors for day 30 mortality.

DATA EXTRACTION

Data from cancer patients admitted to ICUs for sepsis or septic shock were extracted from the Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique database (1994-2015).

DATA SYNTHESIS

Overall, 2,062 patients (62% men, median [interquartile range] age 59 yr [48-67 yr]) were included in the study. Underlying malignancies were solid tumors (n = 362; 17.6%) or hematologic malignancies (n = 1,700; 82.4%), including acute leukemia (n = 591; 28.7%), non-Hodgkin lymphoma (n = 461; 22.3%), and myeloma (n = 244; 11.8%). Two-hundred fifty patients (12%) underwent allogeneic hematopoietic stem cell transplantation and 640 (31.0%) were neutropenic at ICU admission. Day 30 mortality was 39.9% (823 deaths). The year of ICU admission was associated with significant decrease in day 30 mortality over time (odds ratio, 0.96; 95% CI, 0.93-0.98; p = 0.001). Mechanical ventilation (odds ratio, 3.25; 95% CI, 2.52-4.19; p < 0.01) and vasopressors use (odds ratio, 1.42; 95% CI, 1.10-1.83; p < 0.01) were independently associated with day 30 mortality, whereas underlying malignancy, allogeneic hematopoietic stem cell transplantation, and neutropenia were not.

CONCLUSIONS

Survival in critically ill oncology and hematology patients with sepsis improved significantly over time. As outcomes improve, clinicians should consider updating admission policies and goals of care in this population.

Outcomes in patients treated with chimeric antigen receptor T-cell therapy who were admitted to intensive care (CARTTAS): an international, multicentre, observational cohort study

BACKGROUND

Chimeric antigen receptor (CAR) T-cell therapy can induce side-effects such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome (ICANS), which often require intensive care unit admission. The aim of this study was to describe management of critically ill CAR T-cell recipients in intensive care.

METHODS

This international, multicentre, observational cohort study was done in 21 intensive care units in France, Spain, the USA, the UK, Russia, Canada, Germany, and Austria. Eligible patients were aged 18 years or older; had received CAR T-cell therapy in the past 30 days; and had been admitted to intensive care for any reason. Investigators retrospectively included patients admitted between Feb 1, 2018, and Feb 1, 2019, and prospectively included patients admitted between March 1, 2019, and Feb 1, 2020. Demographic, clinical, laboratory, treatment, and outcome data were extracted from medical records. The primary endpoint was 90-day mortality. Factors associated with mortality were identified using a Cox proportional hazard model.

FINDINGS

942 patients received CAR T-cell therapy, of whom 258 (27%) required admission to intensive care and 241 (26%) were included in the analysis. Admission to intensive care was needed within median 4·5 days (IQR 2·0-7·0) of CAR T-cell infusion. 90-day mortality was 22·4% (95% CI 17·1-27·7; 54 deaths). At initial evaluation on admission, isolated cytokine release syndrome was identified in 101 patients (42%), cytokine release syndrome and ICANS in 93 (39%), and isolated ICANS in seven (3%) patients. Grade 3-4 cytokine release syndrome within 1 day of admission to intensive care was found in 50 (25%) of 200 patients and grade 3-4 ICANS in 38 (35%) of 108 patients. Bacterial infection developed in 30 (12%) patients. Life-saving treatments were used in 75 (31%) patients within 24 h of admission to intensive care, primarily vasoactive drugs in 65 (27%) patients. Factors independently associated with 90-day mortality by multivariable analysis were frailty (hazard ratio 2·51 [95% CI 1·37-4·57]), bacterial infection (2·12 [1·11-4·08]), and lifesaving therapy within 24 h of admission (1·80 [1·05-3·10]).

INTERPRETATION

Critical care management is an integral part of CAR T-cell therapy and should be standardised. Studies to improve infection prevention and treatment in these high-risk patients are warranted.

FUNDING

Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique.

[Cancer patients in the intensive care unit]

Over the past 20 years, demographic changes and a longer life expectancy of cancer patients has significantly increased the prevalence of this patient group in the intensive care unit (ICU). A fundamental finding is that acute organ dysfunction, rather than the underlying malignancy, determines the prognosis of ICU patients. While hematologic patients often suffer from a more severe disease course, patients with solid tumors do not present an increased hospital mortality compared to the normal population. As with other indications, the decision to transfer a cancer patient to an ICU should be made as soon as possible. While early transfer is associated with reduced hospital mortality, the presence of multiorgan failure on ICU admission is associated with increased mortality. Overall, the intensive care and hospital survival of critically ill hematologic or oncologic patients has improved over the last two decades and is now as high as 50 to 60%. After surviving an intensive care stay, one fifth of all patients have a good long-term prognosis. Thus, the former paradigm of general rejection of cancer patients for ICU care is no longer justified. For optimal care of cancer patients requiring intensive care, close cooperation between hematologists/oncologists and intensive care physicians is essential.

Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia

Supplemental Digital Content is available in the text.

Neutropenia is a common side effect of myelosuppressive chemotherapy and is associated with adverse outcomes. Early Warning Scores are used to identify at-risk patients and facilitate rapid clinical interventions. Since few Early Warning Scores have been validated in patients with neutropenia, we aimed to create predictive models and nomograms of fever, ICU transfer, and mortality in hospitalized neutropenic patients.

Limited prognostic accuracy of the CRB-65 and qSOFA in patients presenting with pneumonia and immunosuppression

BACKGROUND

Scores for risk prediction used in immunocompetent patients with sepsis or pneumonia are poorly evaluated in immunocompromised patients. Therefore, we evaluated the prognostic value of the qSOFA- and CRB-65-criteria in immunocompromised patients presenting with pneumonia.

METHODS

Retrospective cohort study including consecutive patients hospitalized with pneumonia and immunosuppression without treatment restrictions. The qSOFA and CRB-65 criteria were documented in the emergency department. Outcome was defined as need of mechanical ventilation (MV) or vasopressor support (VS) and/or hospital-mortality.

RESULTS

41 of 198 (21%) patients reached the outcome and 10% died. Both, the CRB-65 and qSOFA- were independently associated with the outcome (all p<0.01), but age was not predictive. ROC curve analysis showed moderate predictive potential for both scores (CRB-65: AUC 0.63 and qSOFA: 0.69). With scores of 0, the negative predictive values were below 90% (CRB-65: 9/60 and qSOFA: 12/105 missed patients). With scores > 1, the positive predictive values were 36% (CRB-65) and 58% (qSOFA), respectively.

CONCLUSIONS

Both, the qSOFA and the CRB-65 only showed moderate prognostic value, and negative predictive values were inadequate to exclude organ failure or death in patients with immunosuppression. In this population, age was not a predictive parameter. Patients with > 1 positive vital sign criterion measured by both scores should be assessed for organ failure.

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.

Acute respiratory failure in immunocompromised patients: outcome and clinical features according to neutropenia status

Background

The impact of neutropenia in critically ill immunocompromised patients admitted in a context of acute respiratory failure (ARF) remains uncertain. The primary objective was to assess the prognostic impact of neutropenia on outcomes of these patients. Secondary objective was to assess etiology of ARF according to neutropenia.

Methods

We performed a post hoc analysis of a prospective multicenter multinational study from 23 ICUs belonging to the Nine-I network. Between November 2015 and July 2016, all adult immunocompromised patients with ARF admitted to the ICU were included in the study. Adjusted analyses included: (1) a hierarchical model with center as random effect; (2) propensity score (PS) matched cohort; and (3) adjusted analysis in the matched cohort.

Results

Overall, 1481 patients were included in this study of which 165 had neutropenia at ICU admission (11%). ARF etiologies distribution was significantly different between neutropenic and non-neutropenic patients, main etiologies being bacterial pneumonia (48% vs 27% in neutropenic and non-neutropenic patients, respectively). Initial oxygenation strategy was standard supplemental oxygen in 755 patients (51%), high-flow nasal oxygen in 165 (11%), non-invasive ventilation in 202 (14%) and invasive mechanical ventilation in 359 (24%). Before adjustment, hospital mortality was significantly higher in neutropenic patients (54% vs 42%; p = 0.006). After adjustment for confounder and center effect, neutropenia was no longer associated with outcome (OR 1.40, 95% CI 0.93–2.11). Similar results were observed after matching (52% vs 46%, respectively; p = 0.35) and after adjustment in the matched cohort (OR 1.04; 95% CI 0.63–1.72).

Conclusion

Neutropenia at ICU admission is not associated with hospital mortality in this cohort of critically ill immunocompromised patients admitted for ARF. In neutropenic patients, main ARF etiologies are bacterial and fungal infections.