Background: Reporting of obesity-associated metabolic disease severity and longitudinal response to bariatric surgery is not standardized. We updated our co-morbidity scoring tool to the Assessment of Obesity-related Metabolic Conditions (AOMC) to combine pharmacotherapy and biochemical data to score diabetes mellitus (DM), hypertension (HTN), and dyslipidemia (DYS) severity. Objectives: The aim of this study is to determine whether the AOMC system more accurately stages metabolic disease severity than a clinically based Assessment of Obesity-Related Comorbidities (AORC) system. Setting: University hospital, United States. Methods: A retrospective cohort study of prospectively collected demographic, clinical, and biochemical data was performed on adults evaluated for bariatric surgery over 6 years. AORC versus AOMC scores and disease severity were compared using McNemar's and Wilcoxon's tests. Results: Of 1442 patients, AOMC newly diagnosed metabolic disease in more patients than did AORC: DM (73.4% versus 44.5%), HTN (91.7% versus 67.9%), and DYS (63.8% versus 53.4%). Of those on pharmacotherapy, AOMC found fewer patients with adequately controlled disease: DM (39.9% versus 97.7%), HTN (64.7% versus 99.3%), and DYS (51.8% versus 99.0%). For those in whom both scores could be calculated, disease severity was upstaged in most patients: DM (65.9%), HTN (42.9%), and DYS (30.9%). There were also significant shifts toward higher scores for all conditions and severity classifications, with more patients diagnosed with pre-metabolic and severe disease (untreated/uncontrolled). Conclusions: Our study demonstrated that the severity of DM, HTN, and DYS is vastly under-represented by clinical history alone and lacks standardized assessments. Our AOMC tool more accurately describes longitudinal metabolic response to bariatric surgery. (Surg Obes Relat Dis 2025;21:207-215.) (c) 2025 American Society for Metabolic and Bariatric Surgery. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.