Frailty and clinical outcomes in critically ill patients with cancer: A cohort study

Outcomes of Elderly Patients Admitted to the Intensive Care Unit for Newly Diagnosed Acute Myeloid Leukemia

Acute myeloid leukemias (AMLs) are the hematological malignancies with the highest need for intensive care unit (ICU) admission due to their association with various life-threatening situations. Limited data exist regarding the outcomes of elderly individuals with AML admitted to the ICU. However, current therapeutic protocols offer the potential for extended survival in this population. This retrospective, monocentric study focused on the outcomes of individuals aged ≥ 60 years admitted to the ICU for newly diagnosed AML. It included 139 patients admitted to the ICU at the Paoli-Calmettes Institute between April 2010 and October 2020, during the initial phase of AML management. Patients were categorized into three groups based on the presence of biological criteria indicating "high risk" for complications (thrombocytopenia < 50 000/mm3 and leukocytosis > 50 000/mm3) and organ failure. Multiple logistic regression models were employed to identify predictive factors for in-hospital and day 90 mortality, while Cox regression was used for 1-year mortality. The rates of in-hospital, day 90, and 1-year mortality were 37%, 42%, and 60%, respectively. Variables associated with in-hospital mortality included the Charlson Comorbidity Index, the need for invasive mechanical ventilation (MV), and multi-organ failure. ELN17 risk was significantly associated with 1-year mortality rates. This study demonstrates the benefits of ICU management for individuals aged ≥ 60 years during the initial phase of AML. It illustrates the effects of age, comorbidities, and the severity of organ failures on short-term mortality and highlights the impact of classical prognostic markers on long-term mortality.

Blood-based biomarkers of frailty in older patients with cancer

PURPOSE OF REVIEW

This review aims to evaluate the current evidence on blood-based biomarkers for frailty detection in older cancer patients. It explores the potential of various biomarkers, including inflammatory markers and microRNAs (miRNAs), to serve as indicators of frailty and examines the limitations of existing studies. The review also highlights the need for further research to validate these biomarkers and improve their clinical applicability.

RECENT FINDINGS

Recent studies have examined blood biomarkers associated with frailty in older cancer patients. Findings suggest that elevated granulocyte levels and lower macrophage-derived stem cells and regulatory T cells are linked to frailty. Inflammatory biomarkers such as interleukin-6 and specific miRNAs, as well as higher neutrophil-to-lymphocyte ratios, have also been identified as potential indicators of frailty. While these biomarkers show promise, no single marker has proven sufficient, and combining them may improve frailty detection. Further research is needed to validate their clinical usefulness in this population.

SUMMARY

Blood-based biomarkers show potential for detecting frailty in older patients with cancer, but further research is needed, particularly beyond an inflammatory focus and with more robust study designs.

Association between Controlling Nutritional Status (CONUT) Score and Body Composition, Inflammation and Frailty in Hospitalized Elderly Patients

The Controlling Nutritional Status (CONUT) score has demonstrated its ability to identify patients with poor nutritional status and predict various clinical outcomes. Our objective was to assess the association between the CONUT score, inflammatory status, and body composition, as well as its ability to identify patients at risk of frailty in hospitalized elderly patients.

METHODS

a total of 361 patients were retrospectively recruited and divided into three groups based on the CONUT score.

RESULTS

patients with a score ≥5 exhibited significantly higher levels of inflammatory markers, such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Neutrophil/Lymphocytes ratio (NLR), main platelet volume (MPV), and ferritin, compared to those with a lower score. Furthermore, these patients showed unfavorable changes in body composition, including a lower percentage of skeletal muscle mass (MM) and fat-free mass (FFM) and a higher percentage of fatty mass (FM). A positive correlation was found between the CONUT score and inflammatory markers, Geriatric Depression Scale Short Form (GDS-SF), and FM. Conversely, the Mini Nutritional Assessment (MNA), Mini-Mental Status Examination, activity daily living (ADL), instrumental activity daily living (IADL), Barthel index, FFM, and MM showed a negative correlation. Frailty was highly prevalent among patients with a higher CONUT score. The receiver operating characteristic (ROC) curve demonstrated high accuracy in identifying frail patients (sensitivity).

CONCLUSIONS

a high CONUT score is associated with a pro-inflammatory status as well as with unfavorable body composition. Additionally, it is a good tool to identify frailty among hospitalized elderly patients.

Frailty and long-term survival among patients in Australian intensive care units with metastatic cancer (FRAIL-CANCER study): a retrospective registry-based cohort study

BACKGROUND

Recent advances in cancer therapeutics have improved outcomes, resulting in increasing candidacy of patients with metastatic cancer being admitted to intensive care units (ICUs). A large proportion of patients also have frailty, predisposing them to poor outcomes, yet the literature reporting on this is scarce. We aimed to assess the impact of frailty on survival in patients with metastatic cancer admitted to the ICU.

METHODS

In this retrospective registry-based cohort study, we used data from the Australia and New Zealand Intensive Care Society Adult Patient (age ≥16 years) database to identify patients with advanced (solid and haematological cancer) and a documented Clinical Frailty scale (CFS) admitted to 166 Australian ICUs. Patients without metastatic cancer were excluded. We analysed the effect of frailty (CFS 5-8) on long-term survival, and how this effect changed in specific subgroups (cancer subtypes, age [<65 years or ≥65 years], and those who survived hospitalisation). Because estimates tend to cluster within centres and vary between them, we used Cox proportional hazards regression models with robust sandwich variance estimators to assess the effect of frailty on survival time up to 4 years after ICU admission between groups.

FINDINGS

Between Jan 1, 2018, and March 31, 2022, 30 026 patients were eligible, and after exclusions 21 174 patients were included in the analysis; of these, 6806 (32·1%) had frailty, and 11 662 (55·1%) were male, 9489 (44·8%) were female, and 23 (0·1%) were intersex or self-reported indeterminate sex. The overall survival was lower for patients with frailty at 4 years compared with patients without frailty (29·5% vs 10·9%; p<0·0001). Frailty was associated with shorter 4-year survival times (adjusted hazard ratio 1·52 [95% CI 1·43-1·60]), and this effect was seen across all cancer subtypes. Frailty was associated with shorter survival times in patients younger than 65 years (1·66 [1·51-1·83]) and aged 65 years or older (1·40 [1·38-1·56]), but its effects were larger in patients younger than 65 years (pinteraction<0·0001). Frailty was also associated with shorter survival times in patients who survived hospitalisation (1·49 [1·40-1·59]).

INTERPRETATION

In patients with metastatic cancer admitted to the ICU, frailty was associated with poorer long-term survival. Patients with frailty might benefit from a goal-concordant time-limited trial in the ICU and will need suitable post-intensive care supportive management.

FUNDING

None.

Frailty and Cancer: Current Perspectives on Assessment and Monitoring

Frailty, an age-related condition of increased vulnerability to acute endogenous or exogenous stressors, is a key barrier to successful treatment of cancer in older people. In this group of patients, assessment of frailty is required before starting a new treatment. According to guidelines, the gold standard to assess frailty in older adults with cancer is geriatric screening followed by geriatric assessment (GA) across essential GA-domains (social status, physical function, nutrition, cognition, emotion, co-morbidity, polypharmacy). GA enables tailoring of both oncological therapy and non-oncological interventions to the patient's vulnerabilities. Large clinical trials recently have demonstrated that the feasibility and tolerability of systemic cancer treatment in older patients are significantly improved by such GA-guided management. Indications and optimal tools for frailty monitoring during the course of cancer treatment have not yet been defined in greater detail. New technologies such as wearable sensors or apps offer promising new opportunities to further develop frailty monitoring. This review describes the current standards and perspectives for the assessment and monitoring of frailty in elderly patients with cancer.