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Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program: Bariatric Surgical Risk/Benefit Calculator: 1-year comorbidity remission.
Grieco, Arielle; Huffman, Kristopher M; Cohen, Mark E; Hall, Bruce L; Morton, John M; Ko, Clifford Y.
Afiliação
  • 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, VA Greater Los Angeles Healthcare System, Los Angeles, California.
Surg Obes Relat Dis ; 20(3): 275-282, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37867047
BACKGROUND: Clinical calculators can provide patient-personalized estimates of treatment risks and health outcomes. The American College of Surgeons Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) set out to create a publicly available tool to assess both short-term postoperative risk and long-term benefits for prospective adult patients eligible for 1 of 4 primary bariatric procedures. The calculator is comprised of multiple prediction elements: (1) 30-day postoperative risk, (2) 1-year body mass index projections, and (3) 1-year comorbidity remission. OBJECTIVES: To assess the performance of the 1-year comorbidity remission prediction feature of the calculator. SETTING: Not-for-profit organization clinical data registry. METHODS: MBSAQIP data across 4.5 years from 240,227 total patients indicating at least 1 comorbidity of interest present preoperatively and who had a 1-year follow-up record documenting their comorbidity status were included. Six models were constructed, stratified by the presence of the respective preoperative comorbidity: hypertension, hyperlipidemia, gastroesophageal reflux disease, sleep apnea, non-insulin-dependent diabetes, and insulin-dependent diabetes. A multinomial logistic regression model was used to predict 1-year remission (total, partial, or no remission) of insulin-dependent diabetes. All other outcomes were binary (yes or no at 1 yr), and ordinary logistic regression models were used. RESULTS: All models showed adequate discrimination (C statistics ranging from .58 to .68). Plots of observed versus predicted remission (%) showed excellent calibration across all models. CONCLUSION: All remission models were well calibrated with sufficient discrimination. The MBSAQIP Bariatric Surgical Risk/Benefit Calculator is a publicly available tool intended for integration into clinical practice to enhance patient-clinician discussions and informed consent.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Diabetes Mellitus Tipo 2 / Cirurgia Bariátrica / Insulinas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Diabetes Mellitus Tipo 2 / Cirurgia Bariátrica / Insulinas Idioma: En Ano de publicação: 2024 Tipo de documento: Article