Extended Nutritional Monitoring in Patients Undergoing Intensive Chemotherapy for Acute Myeloid Leukemia

Background

Fit patients (pts) with acute myeloid leukemia (AML) are conventionally administered repeated cycles of intensive chemotherapy, often followed by allogeneic hematopoietic stem cell transplant. AML pts need to be long hospitalized in a protected setting, they are often prescribed a neutropenic diet and chemotherapy-induced gastro-intestinal toxicity is common. As a result, malnutrition is frequently observed, it sensibly reduces the quality of life and has the potential to undermine eligibility for intensive treatment, increase treatment-related toxicity, and ultimately reduce survival.

Aims

Aim of this study was to systematically assess the nutritional status of fit pts undergoing treatment for AML and to explore early predictors and associations with known nutritional risk scores and relevant clinical outcomes.

Methods

Nutritional Risk Screening 2002 (NRS) score was calculated for each patient at time of diagnosis (a score of 3 or more is considered high). Then, nutritional monitoring included standard anthropometric measurements (body weight, BW; body mass index, BMI) and a bioelectrical impedance analysis (BIA) performed by a registered dietitian to assess fat-free mass, body cell mass (BCM, the metabolically active component of body mass), fat mass and the phase angle. Variations in nutritional parameters between admission and day 7 (end of CHT, called “dif7”) or between admission and day 14 (called “dif14”) were calculated and tested for correlation with variations of the same parameter at discharge from the same cycle (called “dif30”) or at discharge after the first consolidation (called “dif60”).

Results

Up to now, 26 pts with newly diagnosed AML (median age 55y, range 21-74) were prospectively monitored during a total of 61 cycles of intensive chemotherapy (35 induction cycles, 26 consolidation cycles). Median NRS score at enrolment was 3 (range 2-6). Median follow up for surviving pts is 300 days.

We observed a significant reduction in fat-free mass and body cell mass during induction cycles. Similar trends, although not significant, were observed for consolidation cycles as well. These trends were observed irrespectively of baseline NRS, disease response, or whether admission was complicated by a fever lasting more or less than 7 days.

A high NRS score was only associated with a greater fat mass loss between diagnosis and discharge after first consolidation (FM dif60), but the score failed to predict any meaningful nutritional parameter variation.

For fat-free mass, body cell mass and the phase angle (but not for BW or BMI), dif7 correlated with dif30 for induction and consolidation cycles. For body cell mass and the phase angle, both dif7 and dif14 also correlated with dif60. Only variations in body cell mass at day 7 (BCM dif7) correlated with cumulative weight loss at discharge after the first consolidation cycle (BW dif60).

Reduction in BW, BMI and fat mass at day 7, and of phase angle at day 14, were associated with extended length of stay for consolidation chemotherapy cycles only.

Conclusions

In this study, pts intensively treated for AML suffered a significant reduction in the metabolically active component of body mass during admission for induction chemotherapy and, cumulatively, during the first two treatment cycles. Bioelectrical impedance analysis performed as early as seven days from admission could already reveal the first signals of nutritional deterioration: body cell mass loss between day 0 and day 7 correlated with both cumulative body cell mass loss and cumulative body weight loss after two cycles of chemotherapy. Notably, a commonly used nutritional risk screening tool failed to predict the risk of malnutrition in our cohort of patients.

“NUTRIAMO” is a prospective, observational trial currently starting at our institution, where pts intensively treated for AML are monitored via known nutritional assessment tools, new biochemical markers (e.g., prealbumin and retinol-binding protein) and microbiome analysis and variations. Our aim is to find more sensitive nutritional triggers to activate earlier and more effective support measures (e.g., oral nutritional supplements, diet variations, psychological support) and ultimately improve AML patients’ quality of life and survival beyond the cure of their disease.