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

How Does Health-Related Quality of Life Change Over Time in Cancer Survivors Following an Admission to the Intensive Care Unit?: An Integrative Review

BACKGROUND

Cancer survivors account for 15% to 20% of all intensive care unit (ICU) admissions. In general ICU populations, patients are known to experience reduced health-related quality of life (HRQoL). However, little is known about HRQoL impacts among cancer survivors following a critical illness in ICU.

OBJECTIVE

The aim of this study was to critically synthesize the evidence to further understand the impact of a critical illness and ICU admission in cancer survivors.

METHODS

An integrative review was conducted and reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) guidelines. Three electronic databases were searched (MEDLINE, CINAHL, and EMBASE) using keywords and Boolean logic. Quality appraisal, data extraction, and a narrative synthesis were completed for all included studies by 2 reviewers.

RESULTS

Eleven publications met inclusion criteria. Health-related quality-of-life domains most frequently reported in cancer survivors after discharge from ICU included the following: physical function limitations, physical symptoms, and anxiety/depression.

CONCLUSIONS

Health-related quality of life decreased immediately after the admission to ICU with a gradual increase in the 3 to 12 months following. Cancer survivors are vulnerable to physical limitations, pain, and social isolation after an admission to ICU.

IMPLICATIONS FOR PRACTICE

Cancer survivors who have been affected by a critical illness are at risk of reduced HRQoL after an admission to ICU. This integrative review will help clinicians and researchers to develop patient-centered models of care during the recovery of critical illness, which are currently lacking in service delivery.

Characteristics of critically ill patients with cancer associated with intensivist's perception of inappropriateness of ICU admission: A retrospective cohort study

PURPOSE

Although admitting cancer patients to the ICU is no longer an issue, it may be valuable to identify patients perceived least likely to benefit from admission. Our objective was to investigate factors associated with potentially inappropriate ICU admission.

METHODS

Retrospective cohort study of patients with cancer with unplanned ICU admission. We classified admissions as appropriate or potentially inappropriate according to Society of Critical Care Medicine guidelines. We used logistic regression model to assess factors associated with inappropriateness for ICU admission.

RESULTS

From 3384 patients, 663 (19.6%) were classified as potentially inappropriate. They received more invasive mechanical ventilation (25.3% vs 12.5%, P < 0.001) and vasopressors (34.4% vs 30.1%, P = 0.034), had higher ICU [3 (2,6) vs 2 (1,4), P < 0.001] length-of-stay, higher ICU (32.7% vs 8.4%, P < 0.001), hospital (71.9% vs 21.3%, P < 0.001), and one-year mortality (97.6% vs 54.7%, P < 0.001) compared with those considered appropriate. Performance status impairment, more severe organ dysfunctions at admission, metastatic disease, and source of ICU admission were the characteristics associated with intensivist's perception of inappropriateness of ICU admission.

CONCLUSIONS

These findings may help guide ICU admission policies and triage criteria for end-of-life discussions among hospitalized patients with cancer.

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.

Outcome and factors associated with mortality in patients receiving urgent chemotherapy in the ICU: A retrospective study

PURPOSE

This study aimed to assess the outcome and factors associated with mortality in patients who received urgent chemotherapy (CT) in the intensive care unit (ICU) in Lyon, France.

MATERIAL AND METHODS

A total of 147 adult patients diagnosed with cancer and requiring urgent CT during ICU stay between October 2014 and December 2019 were included in this retrospective study.

RESULTS

Hematological cancer was found in 77% of patients, and acute respiratory failure was the leading cause of ICU admission (46.3%). The 6-month mortality rate was 69.4%; patients with solid cancer had a higher risk of mortality. Patients who died within 6 months had a poor performance score and a higher SOFA score at admission. The multivariate analysis showed that solid tumors, sepsis on the day of CT, and SOFA score on the day of CT were associated with 6-month mortality. Additionally, 95% of patients who survived the ICU resumed conventional CT, with a higher likelihood of resuming CT among those with hematological cancer.

CONCLUSION

Urgent CT in the ICU is feasible in a specific subset of patients, mainly those with hematological cancer, with resumption of the curative treatment regimen after ICU discharge.

[ICU admission for cancer patients with respiratory failure: An ethical dilemma]

In medicine, each decision is the result of a trade-off between medical scientific data, the rights of individuals (protection of persons, information, consent), individual desires, collective values and norms, and the economic constraints that guide our society. Whether or not to admit a cancer patient to an intensive care unit is very often an ethical dilemma. It is necessary to distinguish patients who would benefit from admission to an intensive care unit (ICU) from those for whom it would be futile. In this review, we will discuss the appropriateness of ICU admission and the concept of unreasonable admission, along with the different levels of intensity of ICU care and the alternatives to intensive care. We will then consider how and when to initiate reflection leading to a reasonable decision for the patient.

Imaging evaluation of para-aortic lymph nodes in cervical cancer

BACKGROUND

In recent years, much literature has reported the diagnostic value of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)-CT in para-aortic lymph node metastasis of cervical cancer.

PURPOSE

To compare and analyze the para-aortic lymph node presentations found in cervical cancer on different images in order to determine the best precise imaging method for identifying metastatic lymph nodes.

MATERIAL AND METHODS

PubMed, Web of Science, MEDLINE, and other databases were searched for the non-invasive detection of metastatic lymph nodes for a comprehensive comparison.

RESULTS

Positive lymph nodes on CT are significantly related to the following factors: short axis ≥10 mm; and round or central necrosis. Positive lymph nodes on MRI are significantly related to the following factors: short axis ≥8 mm; inhomogeneous signal intensity; morphology: round, irregular edge, extracapsular invasion, central necrosis, loss of lymph node structure, burrs, or lobes; and ADC value decreases, combined with local actuality. On PET-CT examination, when the short axis of the lymph node is >5 mm, the SUV is >2.5, or the FDG uptake is greater than that of the surrounding tissue, it is a metastatic lymph node.

CONCLUSION

In conclusion, different imaging techniques show metastatic lymph nodes in different ways. Combining the patient's medical history with the symptoms of the aforementioned lymph nodes, together with one or more imaging techniques, is important to diagnose para-aortic lymph nodes in cervical cancer.

Critically ill metastatic cancer patients returning home after unplanned ICU stay: an observational, multicentre retrospective study

BACKGROUND

Data about critically ill metastatic cancer patients functional outcome after unplanned admission to the ICU are scarce. The aim of this study was to assess factors associated with 90-day return home and 1-year survival in this population.

STUDY DESIGN AND METHODS

A multicenter retrospective study included all consecutive metastatic cancer patients admitted to the ICU for unplanned reason between 2017 and 2020.

RESULTS

Among 253 included metastatic cancer patients, mainly with lung cancer, 94 patients (37.2%) could return home on day 90. One-year survival rate was 28.5%. Performance status 0 or 1 (OR, 2.18; 95% CI 1.21-3.93; P = 0.010), no malnutrition (OR, 2.90; 95% CI 1.61-5.24; P < 0.001), female gender (OR, 2.39; 95% CI 1.33-4.29; P = 0.004), recent chemotherapy (OR, 2.62; 95% CI 1.40-4.90; P = 0.003), SOFA score ≤ 5 on admission (OR, 2.62; 95% CI 1.41-4.90; P = 0.002) were significantly predictive for 90-day return home. Malnutrition (HR, 1.66; 95% CI 1.18-2.22; P = 0.003), acute respiratory failure (ARF) as reason for admission (HR, 1.40; 95% CI 1.10-1.95; P = 0.043), SAPS II on admission (HR, 1.03; 95% CI 1.02-1.05; P < 0.001) and decisions to forgo life-sustaining therapies (DFLST) (HR, 2.80; 95% CI 2.04-3.84; P < 0.001) were independently associated with 1-year mortality.

CONCLUSIONS

More than one out of three metastatic cancer patients could return home within 3 months after an unplanned admission to the ICU. Previous performance and nutritional status, ongoing specific treatment and low severity of the acute illness were found to be predictive for return home. Such encouraging findings should help change the dismal perception of critically ill metastatic cancer patients.

A clinically applicable prediction model for the risk of in-hospital mortality in solid cancer patients admitted to intensive care units with sepsis

PURPOSE

To develop and validate a user-friendly model to predict the risk of in-hospital mortality in solid cancer patients admitted to the ICU with sepsis.

METHODS

Clinical data of critically ill patients with solid cancer and sepsis were obtained from Medical Information Mart for Intensive Care-IV database and randomly assigned to the training cohort and validation cohort. The primary outcome was in-hospital mortality. The least absolute shrinkage and selection operator (LASSO) regression and logistic regression analysis were used to feature selection and model development. The performance of the model was validated and a dynamic nomogram was developed to visualize the model.

RESULTS

A total of 1584 patients were included in this study, of whom 1108 were assigned to the training cohort and 476 to the validation cohort. The LASSO regression and logistic multivariable analysis showed that nine clinical features were associated with in-hospital mortality and enrolled in the model. The area under the curve of the model was 0.809 (95% CI 0.782-0.837) in the training cohort and 0.770 (95% CI 0.722-0.819) in the validation cohort. The model exhibited satisfactory calibration curves and Brier scores in the training set and validation set were 0.149 and 0.152, respectively. The decision curve analysis and clinical impact curve of the model presented good clinical practicability in both the two cohorts.

CONCLUSION

This predictive model could be used to assess the in-hospital mortality of solid cancer patients with sepsis in the ICU, and a dynamic online nomogram could facilitate the sharing of the model.

Etiologies and Outcome of Patients with Solid Tumors Admitted to ICU with Acute Respiratory Failure: A Secondary Analysis of the EFRAIM Study

BACKGROUND

Acute respiratory failure (ARF) remains the most frequent reason for ICU admission in patients who are immunocompromised. This study reports etiologies and outcomes of ARF in subjects with solid tumors.

METHODS

This study was a post hoc analysis of the EFRAIM study, a prospective multinational cohort study that included 1611 subjects who were immunocompromised and with ARF admitted to the ICU. Subjects with solid tumors admitted to the ICU with ARF were included in the analysis.

RESULTS

Among the subjects from the EFRAIM cohort, 529 subjects with solid tumors (32.8%) were included in the analysis. At ICU admission, the median (interquartile range) Sequential Organ Failure Assessment score was 5 (3-9). The types of solid tumor were mostly lung cancer (n = 111, 21%), breast cancer (n = 52, 9.8%), and digestive cancer (n = 47, 8.9%). A majority, 379 subjects (71.6%) were full code at ICU admission. The ARF was caused by bacterial or viral infection (n = 220, 41.6%), extrapulmonary sepsis (n = 62, 11.7%), or related to cancer or treatment toxicity (n = 83, 15.7%), or fungal infection (n = 23, 4.3%). For 63 subjects (11.9%), the ARF etiology remained unknown after an extensive diagnostic workup. The hospital mortality rate was 45.7% (n = 232/508). Hospital mortality was independently associated with chronic cardiac failure (odds ratio 1.78, 95% CI 1.09-2.92; P = .02), lung cancer (odds ratio 2.50, 95% CI 1.51-4.19; P < .001), day 1 Sequential Organ Failure Assessment score (odds ratio 1.97, 95% CI 1.32-2.96; P < .001). ARF etiologies other than infectious, related to cancer, or treatment toxicity were associated with better outcomes (odds ratio 0.32, 95% CI 0.16-0.61; P < .001).

CONCLUSIONS

Infectious diseases remained the most frequent cause of ARF in subjects with solid tumors admitted to the ICU. Hospital mortality was related to severity at ICU admission, previous comorbidities, and ARF etiologies related to non-malignant causes or pulmonary embolism. Lung tumor was also independently associated with higher mortality.

Quality of life of patients with solid malignancies at 3 months after unplanned admission in the intensive care unit: A prospective case-control study

BACKGROUND

Although short- and long-term survival in critically ill patients with cancer has been described, data on their quality of life (QoL) after an intensive care unit (ICU) stay are scarce. This study aimed to determine the impact of an ICU stay on QoL assessed at 3 months in patients with solid malignancies.

METHODS

A prospective case-control study was conducted in three French ICUs between February 2020 and February 2021. Adult patients with lung, colorectal, or head and neck cancer who were admitted in the ICU were matched in a 1:2 ratio with patients who were not admitted in the ICU regarding their type of cancer, curative or palliative anticancer treatment, and treatment line. The primary endpoint was the QoL assessed at 3 months from inclusion using the mental and physical components of the Short Form 36 (SF-36) Health Survey. The use of anticancer therapies at 3 months was also evaluated.

RESULTS

In total, 23 surviving ICU cancer patients were matched with 46 non-ICU cancer patients. Four patients in the ICU group did not respond to the questionnaire. The mental component score of the SF-36 was higher in ICU patients than in non-ICU patients: median of 54 (interquartile range: 42-57) vs. 47 (37-52), respectively (p = 0.01). The physical component score of the SF-36 did not differ between groups: 35 (31-47) vs. 42 (34-47) (p = 0.24). In multivariate analysis, no association was found between patient QoL and an ICU stay. A good performance status and a non-metastatic cancer at baseline were independently associated with a higher physical component score. The use of anticancer therapies at 3 months was comparable between the two groups.

CONCLUSION

In patients with solid malignancies, an ICU stay had no negative impact on QoL at 3 months after discharge when compared with matched non-ICU patients.

Long-Term Outcomes and Prognostic Factors of Patients with Metastatic Solid Tumors Admitted to the Intensive Care Unit

INTRODUCTION

Admission of metastatic cancer patients to the intensive care unit (ICU) poses medical and ethical challenges in the absence of reliable prognostic tools to guide decision-making.

MATERIAL AND METHODS

We retrospectively analyzed the medical charts of 129 consecutive patients with metastatic solid tumors admitted to the ICU between January and September 2014 and identified prognostic factors (PFs) using Cox models.

RESULTS

The mean patient age at ICU admission was 58.9 years (range, 25-81 years; males, 51%). Performance status (PS) was 0-1 and 2-3 in 61% and 39% of the patients, respectively. The most prevalent cancers were lung cancer (20%), sarcoma (17%), and breast cancer (16%). ICU admission was attributable to the cancer itself (53%), cancer treatment toxicity (43%), and comorbidities (37%). The median overall survival (OS) after ICU admission was 2.6 months; 15% of the patients died during the ICU stay. Poor PFs for OS were PS >1 before ICU admission (p = 0.007) and ICU admission for the cancer itself (p < 10-3). After ICU discharge, 58% and 42% of the patients received systemic treatment within 12 months and showed good PS recovery, respectively. Multiple organ failure and a multidisciplinary decision to limit therapeutic efforts were poor PFs for reinitiation of systemic treatment (p = 0.2 and 0.006, respectively), and the latter was also a poor PF for PS recovery (p = 0.004).

DISCUSSION

In the ICU, the OS of adult patients with solid tumors was similar to that of the noncancer population. For ICU admissions related to the cancer itself, the prognosis is poor.