title: An anthropometric classification of body contour deformities after massive weight loss.
abstract: Deformities caused by massive weight loss were originally subsidized at the Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán." This caused great economical losses, which led to the development of a classification to select patients with functional problems secondary to massive weight loss. The parameter used is the size of the pannus in relation to fixed anatomic structures within the following anatomic regions: abdomen, arms, thighs, mammary glands, lateral thoracic area, back, lumbar region, gluteal region, sacrum, and mons pubis. Grade 3 deformities are candidates for body contouring surgery because they constitute a functional problem. Grade 2 deformities reevaluated whether the patient has comorbidities. Lesser grades are considered aesthetic procedures and are not candidates for surgical rehabilitation at the Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán." This classification allowed an improvement in communication between the different surgical-medical specialties; therefore, we suggest its application not only for surgical-administrative reasons but also for academic purposes.
authors.affiliation: Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán," Mexico D.F., Mexico. martiniglesiasm@gmail.com
authors.forename: Martin
authors.initials: M
authors.lastname: Iglesias
authors.forename: Patricia
authors.initials: P
authors.lastname: Butron
authors.forename: Leonardo
authors.initials: L
authors.lastname: Abarca
authors.forename: Mario F
authors.initials: MF
authors.lastname: Perez-Monzo
authors.forename: Beatriz
authors.initials: B
authors.lastname: de Rienzo-Madero
mesh_terms: D000273:Adipose Tissue / Q000601:surgery*; D000886:Anthropometry; D050110:Bariatric Surgery; D015897:Comorbidity; D003357:Cosmetic Techniques; D062109:Dermatologic Surgical Procedures; D004954:Esthetics; D006801:Humans; D009767:Obesity, Morbid / Q000601:surgery*; D015431:Weight Loss