SFEBES2025 Poster Presentations Metabolism, Obesity and Diabetes (68 abstracts)
1The Brooklyn Hospital Centre, Brooklyn, USA; 2North Middlesex Hospital, North Central London Deanery, London, United Kingdom; 3Ohio State University/The Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, USA
Background: Hypoglycaemia in lymphoma is well-documented and can result from Warburg effect, pituitary/hepatic infiltration, chemotherapy side-effects, and glyceraldehyde-3-phosphate dehydrogenase overexpression. It disrupts cellular signalling pathways of growth and apoptosis, affects insulin secretionwhich may support lymphoma cell survivaland impairs immune function, especially in T-cells and natural-killer cells. This complex interplay triggers inflammation, facilitating tumour progression. This study analyses the impact of hypoglycaemia on in-hospital outcomes of lymphoma.
Methods: The National-Inpatient-Sample-database (2016-2020) was utilised to identify lymphoma hospitalisations, stratified by hypoglycaemia prevalence based on ICD-10 codes. Categorical variables were analysed using chi-square tests, while continuous variables were assessed through t-tests, significance threshold set at P < 0.05. Multivariate regression analysis determined how hypoglycaemia affects lymphoma hospitalisations, adjusting for relevant confounders, sociodemographics and hospital characteristics.
Results: 1,485,770 lymphoma hospitalisations were identified, with 8,765 cases of hypoglycaemia. The mean age was similar for both groups (64.64 years for hypoglycemic and 64.47 years for non-hypoglycemic). Among those with hypoglycemia, 44.5% were females. Racial distribution was 63.05% white, 19.01% black, and 9.98% Hispanic (P < 0.001). Lymphoma patients with hypoglycemia experienced greater resource utilisation, with an average increased length of stay by 3.53 days (10.37 vs 6.84) and costs by $51,325 (139,353$ vs 88,028$). Multivariate regression analysis revealed worse outcomes for lymphoma hospitalisations with hypoglycemia, as detailed in the table.
% with and without hypoglycaemia (p-value) | Adjusted-Odds-Ratio for confounders (95%-Confidence Interval) | P-value | |
Mortality | 29.86, 4.74 (P < 0.001) | 8.43 (7.33-9.69) | <0.001 |
Infections | 32.57, 11.01 (P < 0.001) | 3.70 (3.25-4.21) | <0.001 |
Metabolic-acidosis | 37.82, 8.10 (P < 0.001) | 6.61 (5.84-7.49) | <0.001 |
Tumour-lysis | 10.49, 1.91 (P < 0.001) | 5.66 (4.64-6.91) | <0.001 |
Disseminated-intravascular-coagulation | 4.90, 0.45 (P < 0.001) | 10.67 (8.14-13.98) | <0.001 |
Conclusion: Hypoglycaemia significantly impacts lymphoma hospitalisations, leading to increased resource utilisation, longer hospital stays, and poorer patient outcomes. Optimal management of hypoglycaemia in lymphoma patients is essential for high-value care and improving clinical results.