Background: Monoclonal Gammopathy of Undetermined Significance (MGUS) and Multiple Myeloma (MM) are hematologic conditions characterized by demographic and clinical feature variations. Examining the prevalence and outcomes of MGUS and MM in individuals with different types of diabetes is crucial for personalized healthcare. The primary aim of this study was to explore potential differences in prevalence and outcomes between type 1 and type 2 diabetes populations. Methods: A cohort of 193 patients(pts),obtained from a large endocrine clinic in Brooklyn,New York, between 2015 and 2024, comprising 56 pts with MGUS and 137 pts with MM, was analyzed for demographic characteristics, comorbidities (hypertension, hyperlipidemia, chronic kidney disease), Hemoglobin A1C levels, and diabetes type. Fisher’s exact test and chi-square test were employed to assess the statistical significance of associations. Results: The cohort predominantly consisted of Black individuals (93%), with a statistically significant association between race and the conditions (p = 0.036). While gender distribution showed no significant association, a borderline significance was observed in the relationship between the type of diabetes and the conditions (p = 0.061). Age, co-morbidities, and Hemoglobin A1C levels did not exhibit significant associations with MGUS or MM. Conclusions: In conclusion, our preliminary analysis reveals significant associations between race and the potential links between types of diabetes and occurrences of MGUS and MM. Ongoing research aims to expand the cohort, addressing data limitations for a more comprehensive exploration. This study establishes a foundation for understanding and offers insights into personalized healthcare strategies for individuals with MGUS or MM who have diabetes.

*p-value from Fisher’s exact test.

Abbreviations: MGUS=Monoclonal Gammopathy of undetermined significance; MM=Multiple Myeloma; DM=Diabetes Mellitus.