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

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.

Characteristics, management, and outcomes of active cancer patients with cardiogenic shock

AIMS

Characteristics, management, and outcomes of patients with active cancer admitted for cardiogenic shock remain largely unknown. This study aimed to address this issue and identify the determinants of 30-day and 1-year mortality in a large cardiogenic shock cohort of all aetiologies.

METHODS AND RESULTS

FRENSHOCK is a prospective multicenter observational registry conducted in French critical care units between April and October 2016. 'Active cancer' was defined as a malignancy diagnosed within the previous weeks with planned or ongoing anticancer therapy. Among the 772 enrolled patients (mean age 65.7 ± 14.9 years; 71.5% male), 51 (6.6%) had active cancer. Among them, the main cancer types were solid cancers (60.8%), and hematological malignancies (27.5%). Solid cancers were mainly urogenital (21.6%), gastrointestinal (15.7%), and lung cancer (9.8%). Medical history, clinical presentation, and baseline echocardiography were almost the same between groups. In-hospital management significantly differed: patients with cancers received more catecholamines or inotropes (norepinephrine 72% vs. 52%, P = 0.005 and norepinephrine-dobutamine combination 64.7% vs. 44.5%, P = 0.005), but had less mechanical circulatory support (5.9% vs. 19.5%, P = 0.016). They presented a similar 30-day mortality rate (29% vs. 26%) but a significantly higher mortality at 1-year (70.6% vs. 45.2%, P < 0.001). In multivariable analysis, active cancer was not associated with 30-day mortality but was significantly associated with 1-year mortality in 30-day survivors [HR 3.61 (1.29-10.11), P = 0.015].

CONCLUSION

Active cancer patients accounted for almost 7% of all cases of cardiogenic shock. Early mortality was the same regardless of active cancer or not, whereas long-term mortality was significantly increased in patients with active cancer.

[With a tumor diagnosis in the intensive care unit]

Tumor patients nowadays show significantly improved survival rates due to advancements in modern intensive care medicine, particularly in the case of organ failure. The previous reluctance towards implementing intensive medical care measures in patients with a tumorous disease is no longer justified. For successful intensive care treatment, the timing and the mode of admission along with the specific intensive care measures and underlying organ dysfunction(s) are crucial factors for the prognosis. To ensure appropriate treatment in clinical practice and to balance between overly restrictive admission criteria and overtreatment, a triage system could be beneficial. This would consider the prognosis of the underlying malignant disease, the performance status of the patient, available treatment options and a dynamic assessment of the course of the intensive medical care. Long-term results of tumor patients show that around 80% of tumor patients who have been in the intensive care unit present physical and mental health similar to those who were never admitted. Even the majority of patients who needed ongoing cancer treatment due to tumor stage did not show any differences in treatment intensity and their remission status after 6 months. A successful intensive care medicine, the individualized definition of aims, as well as adjustment of the treatment goals, require close collaboration between hematologists, oncologists, and intensive care physicians.

[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.

Triage of Critically Ill Patients: Characteristics and Outcomes of Patients Refused as Too Well for Intensive Care

BACKGROUND

The appropriate selection of patients for the intensive care unit (ICU) is a concern in acute care settings. However, the description of patients deemed too well for the ICU has been rarely reported.

METHODS

We conducted a single-centre retrospective observational study of all patients either deemed "too well" for or admitted to the ICU during one year. Refused patients were screened for unexpected events within 7 days, defined as either ICU admission without another indication, or death without treatment limitations. Patients' characteristics and organisational factors were analysed according to refusal status, outcome and delay in ICU admission.

RESULTS

Among 2219 enrolled patients, the refusal rate was 10.4%. Refusal was associated with diagnostic groups, treatment limitations, patients' location on a ward, night time and ICU occupancy. Unexpected events occurred in 16 (6.9%) refused patients. A worse outcome was associated with time spent in hospital before refusal, patients' location on a ward, SOFA score and physician's expertise. Delayed ICU admissions were associated with ICU and hospital length of stay.

CONCLUSIONS

ICU triage selected safely most patients who would have probably not benefited from the ICU. We identified individual and organisational factors associated with ICU refusal, subsequent ICU admission or death.

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.

Association of appropriateness for ICU admission with resource use, organ support and long-term survival in critically ill cancer patients

We aimed to evaluate the characteristics, resource use and outcomes of critically ill patients with cancer according to appropriateness of ICU admission. This was a retrospective cohort study of patients with cancer admitted to ICU from January 2017 to December 2018. Patients were classified as appropriate, potentially inappropriate, or inappropriate for ICU admission according to the Society of Critical Care Medicine guidelines. The primary outcome was ICU length of stay (LOS). Secondary outcomes were one-year, ICU, and hospital mortality, hospital LOS and utilization of ICU organ support. We used logistic regression and competing risk models accounting for relevant confounders in primary outcome analyses. From 6700 admitted patients, 5803 (86.6%) were classified as appropriate, 683 (10.2%) as potentially inappropriate and 214 (3.2%) as inappropriate for ICU admission. Potentially inappropriate and inappropriate ICU admissions had lower likelihood of being discharged from the ICU than patients with appropriate ICU admission (sHR 0.55, 95% CI 0.49-0.61 and sHR 0.65, 95% CI 0.53-0.81, respectively), and were associated with higher 1-year mortality (OR 6.39, 95% CI 5.60-7.29 and OR 11.12, 95% CI 8.33-14.83, respectively). Among patients with appropriate, potentially inappropriate, and inappropriate ICU admissions, ICU mortality was 4.8%, 32.6% and 35.0%, and in-hospital mortality was 12.2%, 71.6% and 81.3%, respectively (p < 0.01). Use of organ support was more common and longer among patients with potentially inappropriate ICU admission. The findings of our study suggest that inappropriateness for ICU admission among patients with cancer was associated with higher resource use in ICU and higher one-year mortality among ICU survivors.

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.

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.

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.