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Research Article
Yentl Lodewijks
Catharina Ziekenhuis
Corresponding Author
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Background The magnitude of the effect of bariatric surgery depends on the willingness and the ability of patients to adapt a healthier lifestyle. Therefore, it is worthwhile to know how to select patients for surgery and/or preoperative interventions.
Aim To investigate the predictors for a disapproval at the time, direct approval or a prehabilitation programme for bariatric surgery candidates after multidisciplinary evaluation.
Methods Data on the SQ-48 total score, the RAND-36 total score, the general screening questionnaire, age, Body Mass Index (BMI), and the result of the multidisciplinary consultation were collected from all patients who participated in the screening process between February 2017 and February 2020. A multinomial logistic regression analysis was performed.
Results Of the 2,063 included patients, 627 (30.4%) were approved for surgery, 1,275 (61.8%) received an preoperative trajectory advise and 161 (7.8%) were denied. Eleven variables appeared to be significant predictors for the result of the multidisciplinary consultation; gender, age, BMI, RAND-36 total score, SQ-48 total score, binging score, craving score, consciously eating, psychological help score, excessive drug use in the past and the impulsiveness score.
Conclusion Although the predicting model might not be applicable to other centres, it could attribute to enhance patient selection and thereby improve healthcare logistics.
Keywords
bariatric surgery, obesity, prehabilitation programme
Figure 1
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Yentl Lodewijks
Catharina Ziekenhuis
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 10 May, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background The magnitude of the effect of bariatric surgery depends on the willingness and the ability of patients to adapt a healthier lifestyle. Therefore, it is worthwhile to know how to select patients for surgery and/or preoperative interventions.
Aim To investigate the predictors for a disapproval at the time, direct approval or a prehabilitation programme for bariatric surgery candidates after multidisciplinary evaluation.
Methods Data on the SQ-48 total score, the RAND-36 total score, the general screening questionnaire, age, Body Mass Index (BMI), and the result of the multidisciplinary consultation were collected from all patients who participated in the screening process between February 2017 and February 2020. A multinomial logistic regression analysis was performed.
Results Of the 2,063 included patients, 627 (30.4%) were approved for surgery, 1,275 (61.8%) received an preoperative trajectory advise and 161 (7.8%) were denied. Eleven variables appeared to be significant predictors for the result of the multidisciplinary consultation; gender, age, BMI, RAND-36 total score, SQ-48 total score, binging score, craving score, consciously eating, psychological help score, excessive drug use in the past and the impulsiveness score.
Conclusion Although the predicting model might not be applicable to other centres, it could attribute to enhance patient selection and thereby improve healthcare logistics.
Figure 1
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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