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The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program Bariatric Surgical Risk/Benefit Calculator: 1-year weight.
Grieco, Arielle; Huffman, Kristopher M; Cohen, Mark E; Hall, Bruce L; Morton, John M; Ko, Clifford Y.
Afiliación
  • Grieco A; American College of Surgeons, Chicago, Illinois. Electronic address: agrieco@facs.org.
  • Huffman KM; American College of Surgeons, Chicago, Illinois.
  • Cohen ME; American College of Surgeons, Chicago, Illinois.
  • Hall BL; American College of Surgeons, Chicago, Illinois; Department of Surgery, Center for Health Policy and Olin Business School, Washington University in St. Louis, Saint Louis Veterans Affairs Medical Center, and BJC Healthcare, St. Louis, Missouri.
  • Morton JM; Department of Surgery, Yale School of Medicine, New Haven, Connecticut.
  • Ko CY; American College of Surgeons, Chicago, Illinois; Department of Surgery, University of California Los Angeles David Geffen School of Medicine, Veterans Administration Greater Los Angeles Healthcare System, Los Angeles, California.
Surg Obes Relat Dis ; 19(7): 690-696, 2023 07.
Article en En | MEDLINE | ID: mdl-36639320
ABSTRACT

BACKGROUND:

Data-driven tools can be designed to provide patient-personalized estimates of health outcomes. Clinical calculators are commonly built to assess risk, but potential benefits of treatment should be equally considered. The American College of Surgeons Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) sought to create a risk and benefit calculator for adult patients considering primary metabolic and bariatric surgery with multiple prediction features (1) 30-day risk, (2) 1-year body mass index (BMI) projections, and (3) 1-year co-morbidity remission.

OBJECTIVE:

To assess the performance of the 1-year BMI projections feature of this tool.

SETTING:

Not-for-profit organization, clinical data registry.

METHODS:

MBSAQIP data from 596,024 cases across 4.5 years from 882 centers with ∼2.5 million records through 18 months postoperatively were included. A generalized estimating equation model was used to estimate BMI over time for 4 primary procedures laparoscopic adjustable gastric band, laparoscopic sleeve gastrectomy, laparoscopic Roux-en-Y gastric bypass, and biliopancreatic diversion with duodenal switch.

RESULTS:

The mean absolute error (MAE) in BMI predictions through postoperative month 12 was 1.68 units; overall correlation of actual and predicted BMI was .94. MAE of postoperative BMI estimates (1-12 mo) was lowest for laparoscopic sleeve gastrectomy (1.64) and highest for biliopancreatic diversion with duodenal switch (1.99). BMI predictions at 12 months showed MAE = 2.99 units.

CONCLUSIONS:

Predicted BMI closely aligned with actual BMI values across the 12-month postoperative period. The MBSAQIP Bariatric Surgical Risk/Benefit Calculator is publicly available with the intent to facilitate patient-clinician communication and guide surgical decision making. This tool can aid in evaluating postoperative risk as well as benefits and long-term expectations.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Obesidad Mórbida / Derivación Gástrica / Laparoscopía / Cirugía Bariátrica Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Surg Obes Relat Dis Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Obesidad Mórbida / Derivación Gástrica / Laparoscopía / Cirugía Bariátrica Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Surg Obes Relat Dis Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article