Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program : Bariatric Surgical Risk/Benefit Calculator: 1-year comorbidity remission
Copyright © 2024 American Society for Metabolic and Bariatric Surgery. Published by Elsevier Inc. All rights reserved..
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
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Enthalten in: |
Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery - 20(2024), 3 vom: 31. März, Seite 275-282 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Grieco, Arielle [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 01.03.2024 Date Revised 01.03.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.soard.2023.09.020 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM363593713 |
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520 | |a Copyright © 2024 American Society for Metabolic and Bariatric Surgery. Published by Elsevier Inc. All rights reserved. | ||
520 | |a 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 | ||
520 | |a OBJECTIVES: To assess the performance of the 1-year comorbidity remission prediction feature of the calculator | ||
520 | |a SETTING: Not-for-profit organization clinical data registry | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a 1-Year remission | |
650 | 4 | |a Bariatric surgery | |
650 | 4 | |a Benefits of bariatric surgery | |
650 | 4 | |a Calculator | |
650 | 4 | |a Comorbidity | |
650 | 4 | |a Diabetes | |
650 | 4 | |a Gastroesophageal reflux disease (GERD) | |
650 | 4 | |a Hyperlipidemia | |
650 | 4 | |a Hypertension | |
650 | 4 | |a Informed consent | |
650 | 4 | |a Long-term outcomes | |
650 | 4 | |a Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) | |
650 | 4 | |a Multimorbidity | |
650 | 4 | |a Obesity-related disorder | |
650 | 4 | |a Postoperative comorbidity remission | |
650 | 4 | |a Shared decision-making | |
650 | 4 | |a Sleep apnea | |
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700 | 1 | |a Morton, John M |e verfasserin |4 aut | |
700 | 1 | |a Ko, Clifford Y |e verfasserin |4 aut | |
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