Status · validation
MOSI
Metabolic & Obesity Staging Index
Decision support and prospective validation for bariatric surgery.
The Problem
What is broken clinically?
Bariatric surgery decisions are made with substantial inter-surgeon variation. There is no validated, quantitative staging system that integrates BMI, comorbidity severity, and predicted weight-loss outcomes into a single actionable score — leaving patients under-staged or over-treated based on institutional custom rather than evidence.
Clinical Need
Why this matters in surgery
Over 250,000 bariatric procedures are performed annually in North America. Procedure selection (sleeve gastrectomy vs. Roux-en-Y gastric bypass vs. revisional surgery) significantly impacts total weight loss and comorbidity resolution. A validated decision-support tool that stratifies patients objectively can reduce variation, improve outcomes, and standardise audit-ready documentation.
Data Sources
Where the data comes from
Derivation cohort: 3,097 patients who underwent primary bariatric surgery at Mayo Clinic, Rochester, MN (2010–2022). Prospective validation cohort: multi-institutional, external, currently enrolling. Data include: pre-operative BMI, HbA1c, blood pressure, comorbidity index, procedure type, and 12-month post-operative total weight loss (TWL%).
Methods
Technical approach
MOSI assigns patients a composite score across four domains: (1) BMI stage (WHO classification adjusted for metabolic risk), (2) comorbidity burden (Charlson score weighted for metabolic-specific conditions), (3) predicted TWL tier (derived from a validated regression model), and (4) surgical complexity adjustment. The algorithm runs on a web-based calculator with exportable clinical reports. The staging system achieved 100% algorithm accuracy on the derivation cohort and is currently undergoing prospective external validation.
Validation Plan
How the claims will be tested
A prospective, multi-site external validation study is ongoing across three Mayo Clinic campuses (Rochester, Phoenix, Jacksonville). Primary endpoint: concordance between MOSI-recommended procedure and surgeon decision. Secondary endpoints: 12-month TWL%, comorbidity resolution rates, and readmission within 30 days. Target n = 800 patients. IRB approval obtained.
Current Status
What stage we're at
MOSI is in prospective external validation (multi-site). The web tool is live and accessible to clinicians. The derivation paper was published in Surgery for Obesity and Related Diseases (SOARD) in 2026. A validation-cohort manuscript is in preparation.
Model Card
Intended use, readiness, and limitations
A-STAR model card
MOSI
Metabolic & Obesity Staging Index
- Intended use
- Pre-operative decision support for bariatric surgery candidate evaluation. Advisory only; clinical judgment remains with the treating surgeon.
- Clinical phase
- Risk stratification, planning, and outcomes validation
- Input data
- BMI and metabolic risk profile
- Comorbidity burden
- Prior bariatric procedure history
- Procedure and outcomes variables used in validation workflows
- Output
- MOSI stage
- Procedure category recommendation for review
- Predicted total weight-loss tier
- Audit-ready report
- Model/pipeline
- Rule-guided staging and decision-support workflow with prospective external validation in progress.
- Validation status
- Derivation and publication complete; prospective external multi-site validation is in progress.
- Deployment readiness
- Validation phase. Available as a clinical decision-support aid, not for autonomous use.
- Limitations
- Derived from Mayo Clinic data and not yet characterized across all populations or revisional surgery contexts.
Team
People behind this project
Collaborating Institutions
Partners on this project
Related Publications
Research outputs
Shahriarirad R, Alomar A, Ghanem OM, Laplante SJ
Surgery for Obesity and Related Diseases · 2026
Featured in news
Coverage and mentions
Get involved
Interested in collaborating on MOSI? We welcome clinical partnerships, dataset contributions, and research collaboration.
Reach out →


