Background: Despite the increasing number of ICU admissions among patients with solid tumours, there is a lack of tools with which to identify patients who may benefit from critical support. We aim to characterize the clinical profile and outcomes of patients with solid malignancies admitted to the ICU. Methods: Retrospective observational study of patients with cancer non-electively admitted to the ICU of the Hospital Clinic of Barcelona (Spain) between January 2019 and December 2019. Data regarding patient and neoplasm characteristics, ICU admission features and outcomes were collected from medical records. Results: 97 ICU admissions of 84 patients were analysed. Lung cancer (22.6%) was the most frequent neoplasm. Most of the patients had metastatic disease (79.5%) and were receiving oncological treatment (75%). The main reason for ICU admission was respiratory failure (38%). Intra-ICU and in-hospital mortality rates were 9.4% and 24%, respectively. Mortality rates at 1, 3 and 6 months were 19.6%, 36.1% and 53.6%. Liver metastasis, gastrointestinal cancer, hypoalbuminemia, elevated basal C-reactive protein, ECOG-PS greater than 2 at ICU admission, admission from ward and an APACHE II score over 14 were related to higher mortality. Functional status was severely affected at discharge, and oncological treatment was definitively discontinued in 40% of the patients. Conclusion: Medium-term mortality and functional deterioration of patients with solid cancers non-electively admitted to the ICU are high. Surrogate markers of cachexia, liver metastasis and poor ECOG-PS at ICU admission are risk factors for mortality.

Background: In a patient-centred model of care, referral to early palliative care (EPC) depends on both the prognosis and the complexity of care needs. The PALCOM scale is a 5-domain multidimensional assessment tool developed to identify the level of complexity of palliative care needs of cancer patients. The aim of this study was to validate the PALCOM scale. Patient and methods: We conducted a prospective cohort study of cancer patients to compare the PALCOM scale and expert empirical assessment (EA) of the complexity of palliative care needs. The EA had to categorise patients according to their complexity, considering that medium to high levels required priority attention from specialist EPC teams, while those with low levels could be managed by non-specialist teams. Systematically collected multidimensional variables were recorded in an electronic report form and stratified by level of complexity and rating system (PALCOM scale versus EA). The correlation rank (Kendall’s tau test) and accuracy test (F1-score) between the two rating systems were analysed. ROC curve analysis was used to determine the predictive power of the PALCOM scale. Results: A total of 283 advanced cancer patients were included. There were no significant differences in the frequency of the levels of complexity between the EA and the PALCOM scale (low 22.3–23.7%; medium 57.2–59.0%; high 20.5–17.3%). The prevalence of high symptom burden, severe pain, functional impairment, socio-familial risk, existential/spiritual problems, 6-month mortality and in-hospital death was significantly higher (p < 0.001) at the high complexity levels in both scoring systems. Comparative analysis showed a high correlation rank and accuracy between the two scoring systems (Kendall’s tau test 0.81, F1 score 0.84). The predictive ability of the PALCOM scale was confirmed by an area under the curve in the ROC analysis of 0.907 for high and 0.902 for low complexity. Conclusions: In a patient-centred care model, the identification of complexity is a key point to appropriate referral and management of shared care with EPC teams. The PALCOM scale is a high precision tool for determining the level of complexity of palliative care needs.

Introduction: Identifying the complexity of palliative care needs is a key aspect of referral to specialized multidisciplinary early palliative care (EPC) teams. The PALCOM scale is an instrument consisting of five multidimensional assessment domains developed in 2018 and validated in 2023 to identify the level of complexity in patients with advanced cancer. (1) Objectives: The main objective of this study was to determine the degree of instability (likelihood of level change or death), health resource consumption and the survival of patients according to the level of palliative complexity assigned at the baseline visit during a 6-month follow-up. (2) Method: An observational, prospective, multicenter study was conducted using pooled data from the development and validation cohort of the PALCOM scale. The main outcome variables were as follows: (a) instability ratio (IR), defined as the probability of level change or death; (b) emergency department visits; (c) days of hospitalization; (d) hospital death; (e) survival. All the variables were analyzed monthly according to the level of complexity assigned at the baseline visit. (3) Results: A total of 607 patients with advanced cancer were enrolled. According to the PALCOM scale, 20% of patients were classified as low complexity, 50% as medium and 30% as high complexity. The overall IR was 45% in the low complexity group, 68% in the medium complexity group and 78% in the high complexity group (p < 0.001). No significant differences in mean monthly emergency department visits (0.2 visits/ patient/month) were observed between the different levels of complexity. The mean number of days spent in hospital per month was 1.5 in the low complexity group, 1.8 in the medium complexity group and 3.2 in the high complexity group (p < 0.001). The likelihood of in-hospital death was significantly higher in the high complexity group (29%) compared to the medium (16%) and low (8%) complexity groups (p < 0.001). Six-month survival was significantly lower in the high complexity group (24%) compared to the medium (37%) and low (57%) complexity groups (p < 0.001). Conclusion: According to the PALCOM scale, more complex cases are associated with greater instability and use of hospital resources and lower survival. The data also confirm that the PALCOM scale is a consistent and useful tool for describing complexity profiles, targeting referrals to the EPC and managing the intensity of shared care.

Immune checkpoint inhibitors (ICI) have revolutionized the landscape of cancer treatment. Although several studies have shown that ICIs have a better safety profile than chemotherapy, some patients develop immune-related adverse events (irAEs), which require specialized and multidisciplinary management. Since ICI indications are rapidly increasing, it is crucial that clinicians involved in cancer care learn to identify irAEs and manage them properly. Here, we report a case series of 23 patients with severe irAEs requiring hospitalization over a period of 12 months and seize the opportunity to review and update different general features related to irAEs along with the management of the most frequent severe irAEs in our series.

Introduction: The life experience of patients with advanced cancer and limited life expectancy is unique and profoundly complex, often leading to moral discrepancies among the various individuals involved in decision making. There are no data in the literature on the prevalence of ethical issues in the end-of-life care of patients with advanced cancer. Objectives: The primary objective of this study is to identify the overall and specific prevalence of ethical issues in the end-of-life care process for patients with advanced cancer. Method: We performed a secondary analysis using pooled data from the prospective development and validation cohorts of the PALCOM scale, focusing on the complexity of palliative care needs. This was performed to determine the overall and specific prevalence of ethical issues, describe their evolution over a 6-month follow-up period, and analyze their association with the level of palliative care complexity. Results: A total of 607 patients with advanced cancer and a life expectancy of 6 months or less were included. The consistency in clinical data and the frequencies of the PALCOM scale domains between the development and validation cohorts, conducted in various settings and times, confirmed the reliability of the pooled data sample. Systematic application of the PALCOM scale identified 126 patients (20.7%) who experienced at least one ethical issue. A total of 204 ethical issues (1.6 per patient) were recorded, related to the following: the proportionality of healthcare intervention (15.6%); information (13.0%); research (2.9%); the desire to hasten death (1.8%); and palliative sedation (0.15%). The monthly probability of presenting an ethical issue was significantly higher at the baseline visit (24.0%) compared to the rest of the 6-month follow-up period (14–17%) (p < 0.001). The prevalence of ethical issues was notably higher in patients with greater palliative care complexity as measured by the PALCOM scale: 4.5% in low complexity, 19.5% in medium complexity, and 30.8% in high complexity (p < 0.001). Conclusions: The prevalence of ethical issues in patients with advanced cancer is high. Most of these issues are directly or indirectly related to the preservation of patient autonomy in the decision-making process. The presence of ethical issues is significantly associated with the greater complexity of palliative care needs. In this context, it is crucial for healthcare professionals to strengthen both communication skills and basic competencies to effectively identify, assess, and manage these ethical issues.

Malignant pericardial effusion (MPE) is a life-threatening condition in patients with cancer, with common recurrences after simple pericardiocentesis. Consequently, the intrapericardial instillation of sclerosing or cytotoxic agents has been explored, with limited evidence from small studies with different methodologies. We undertook an observational, retrospective, single-centre study, including all patients diagnosed with a solid neoplasm and clinically significant and/or recurrent, cytology-confirmed MPE, treated with Intrapericardial Instillation of Cisplatin (IPIC), between 2009 and 2022. Patients with hematological malignancies were excluded. The procedure followed a multidisciplinary approach and a standardized protocol. Variables collected included baseline patient characteristics, neoplasm details, MPE impact, adverse events (AEs) from procedures (pericardiocentesis and IPIC) and outcomes (time to MPE recurrence and survival). This study adhered to the STROBE guidelines. A total of 41 patients were included, 51% female, with a median age of 61 (51–69) years. Non-small cell lung cancer (NSCLC) was the predominant primary tumour (78%) and in 44% of the cohort, MPE was identified at cancer diagnosis. Most patients (90.2%) presented symptoms related to MPE at diagnosis, and 88% had cardiac tamponade on echocardiography. IPIC was administered a median of four times. IPIC-related AEs occurred in 10 patients (24.4%), with transient atrial fibrillation (AF) being the most frequent one. Two patients (4.9%) experienced MPE recurrence within 30 days after IPIC. The median survival time from MPE diagnosis was 161 days (5.4 months; IQR 73–455 days). IPIC appears to be a feasible, effective and safe option for reducing the risk of MPE recurrence, mainly in NSCLC.