ACS Bariatric Risk Calculator: Predict Your Surgery Success


ACS Bariatric Risk Calculator: Predict Your Surgery Success

This is a tool designed to estimate the potential risks associated with bariatric surgery. It leverages a database of patient information and surgical outcomes to provide a personalized risk assessment. The assessment considers factors such as patient demographics, pre-existing health conditions, and specific surgical procedures planned. The output is a set of probabilities related to various adverse events.

The employment of such a tool offers multiple advantages. It supports informed consent by enabling surgeons to have more comprehensive conversations with patients about the potential complications of surgery. It also aids in clinical decision-making, allowing healthcare providers to identify high-risk individuals who may require additional pre-operative optimization or alternative treatment strategies. Historically, the development and refinement of these calculators have been driven by efforts to improve patient safety and standardize surgical practice.

Further discussion will elaborate on the specific data inputs required, the types of risk scores generated, and the utility of these scores in enhancing patient care and optimizing bariatric surgical outcomes.

1. Data Input Accuracy

The reliability of the risk estimations generated by the American College of Surgeons Bariatric Risk Calculator is intrinsically linked to the accuracy of the data entered. Erroneous or incomplete information compromises the calculator’s ability to provide meaningful and valid risk assessments.

  • Patient Demographics and Medical History

    Accurate recording of patient demographics (age, sex, race) and comprehensive medical history (comorbidities like diabetes, hypertension, sleep apnea) is paramount. For instance, misreporting a patient’s Body Mass Index (BMI) could lead to an underestimation or overestimation of risk, impacting surgical planning. Failure to document a pre-existing condition could result in inadequate preparation for potential complications.

  • Pre-operative Lab Values and Diagnostic Results

    The calculator utilizes pre-operative lab values such as hemoglobin A1c, creatinine, and liver function tests to assess organ function and metabolic control. Inaccurate or outdated lab results can skew the risk assessment. For example, an incorrectly reported elevated creatinine level might falsely suggest kidney dysfunction, influencing the perceived risk of the surgical procedure. Similarly, unreported or incorrect values for lipid panels could affect cardiovascular risk estimates.

  • Procedure Selection and Surgical Technique

    The type of bariatric procedure selected (e.g., Roux-en-Y gastric bypass, sleeve gastrectomy) and nuances in surgical technique are critical inputs. Incorrectly specifying the procedure or failing to account for variations in surgical approach can lead to inaccurate risk predictions. For example, if a surgeon deviates from standard protocols, the calculated risk may not reflect the actual risk faced by the patient.

  • Medication List and Allergy Information

    A complete and accurate medication list, including dosage and frequency, as well as comprehensive allergy information, is necessary. Omissions or inaccuracies can affect the risk assessment. For example, failure to record the use of anticoagulants may increase the risk of bleeding complications during or after surgery. Overlooking a patient’s allergy to a specific anesthetic agent can have severe consequences.

These elements collectively highlight the importance of meticulous data collection and validation processes in maximizing the utility of the American College of Surgeons Bariatric Risk Calculator. The reliability of its outputs, and ultimately its contribution to informed decision-making and patient safety, is directly proportional to the accuracy of its inputs.

2. Risk Score Interpretation

The American College of Surgeons Bariatric Risk Calculator generates a series of numerical scores representing the estimated probability of various adverse outcomes following bariatric surgery. The proper interpretation of these risk scores is paramount to their effective use in clinical practice. The generated scores are not absolute predictors of events, but rather statistical probabilities derived from aggregated data. For instance, a score indicating a 5% risk of a specific complication implies that, based on the data used to develop the calculator, 5 out of 100 patients with similar characteristics experienced that complication. Misunderstanding this probabilistic nature can lead to inappropriate clinical decisions.

The calculator typically provides risk estimates for outcomes such as mortality, major complications (e.g., pulmonary embolism, sepsis, wound infection), and specific surgical complications (e.g., anastomotic leak, stricture). Each score must be considered within the context of the individual patient’s clinical picture and the specific surgical procedure planned. A higher risk score does not automatically contraindicate surgery, but it necessitates a more thorough evaluation of the patient’s suitability for surgery, potential need for pre-operative optimization, and a detailed discussion of risks and benefits. Failure to accurately interpret a high-risk score for a particular patient, such as overlooking a modifiable risk factor or not adequately explaining the implications to the patient, can have negative consequences.

Ultimately, the risk scores produced by the American College of Surgeons Bariatric Risk Calculator are valuable tools, but their utility hinges on accurate interpretation and integration into the overall clinical decision-making process. Physicians must understand the statistical basis of the scores, consider them in conjunction with other clinical information, and communicate the implications clearly to patients. The proper interpretation of these scores facilitates informed consent, assists in risk mitigation strategies, and contributes to improved patient outcomes. Challenges remain in educating healthcare providers on the nuances of risk score interpretation and ensuring consistent application across different clinical settings.

3. Patient Risk Stratification

Patient risk stratification in bariatric surgery involves categorizing individuals undergoing these procedures into distinct risk groups based on their likelihood of experiencing adverse outcomes. The American College of Surgeons Bariatric Risk Calculator serves as a crucial tool in this process, providing a quantitative framework for assessing individual risk profiles.

  • Identification of High-Risk Individuals

    The calculator assists in identifying patients with pre-existing conditions, such as severe cardiovascular disease or poorly controlled diabetes, who face a higher probability of complications during and after surgery. For instance, a patient with a history of multiple myocardial infarctions and a high BMI might be flagged as high-risk by the calculator, prompting further cardiac evaluation and optimization before proceeding with bariatric surgery. This proactive identification enables tailored management strategies to mitigate potential risks.

  • Tailoring Pre-operative Interventions

    Risk stratification facilitates the implementation of targeted pre-operative interventions to improve patient safety. Patients identified as high-risk may benefit from intensive lifestyle modifications, medication adjustments, or additional medical consultations prior to surgery. An example is a patient with uncontrolled sleep apnea detected by the calculator due to associated co-morbidities; this may trigger a requirement for CPAP therapy and pulmonology consultation before the bariatric procedure. This personalized approach enhances the overall safety and efficacy of bariatric surgery.

  • Informing Surgical Decision-Making

    Risk stratification influences the selection of the most appropriate surgical approach. For some high-risk patients, a less invasive procedure or a staged approach might be considered to minimize the likelihood of complications. For instance, a patient with severe cirrhosis identified through calculator inputs may be better suited for a sleeve gastrectomy rather than a Roux-en-Y gastric bypass due to the latter’s higher risk of malabsorption and liver decompensation. Such considerations ensure that the surgical strategy aligns with the patient’s individual risk profile.

  • Enhancing Patient Counseling and Informed Consent

    Stratification using the calculator supports more comprehensive patient counseling and informed consent processes. By quantifying the potential risks and benefits of surgery, the calculator empowers patients to make informed decisions about their treatment options. If the calculator estimates a significantly elevated risk of mortality for a particular patient, this information can be used to facilitate a detailed discussion about alternative treatment strategies, such as intensive medical management, and the potential trade-offs associated with each option. Transparent communication enhances patient autonomy and shared decision-making.

In summary, the American College of Surgeons Bariatric Risk Calculator plays a vital role in patient risk stratification by providing a structured and data-driven approach to assessing individual risk profiles. The resulting stratification guides pre-operative interventions, surgical decision-making, and patient counseling, ultimately contributing to improved outcomes and enhanced patient safety in bariatric surgery. The appropriate application of this tool is critical for optimizing the benefits of bariatric procedures while minimizing potential harm.

4. Surgical Outcome Prediction

The American College of Surgeons Bariatric Risk Calculator serves as a significant tool in predicting surgical outcomes for patients undergoing bariatric procedures. Its function is to provide quantitative risk assessments, aiding in clinical decision-making and patient counseling. The accuracy of the predictions generated by this tool depends on the quality of the input data and the validity of the underlying statistical model.

  • Probability of Major Complications

    The calculator estimates the probability of major complications, such as pulmonary embolism, deep vein thrombosis, surgical site infections, and sepsis. For instance, a patient with a high BMI, a history of smoking, and pre-existing cardiovascular disease may have an elevated predicted risk of pulmonary embolism post-surgery. This prediction allows for the implementation of prophylactic measures, such as extended anticoagulation, to mitigate the risk. The risk estimations directly influence clinical protocols and post-operative monitoring strategies.

  • Mortality Risk Assessment

    The calculator provides an estimate of the risk of mortality within a defined postoperative period, typically 30 days or 90 days. This assessment considers factors such as patient age, comorbid conditions, and the complexity of the surgical procedure. For example, an elderly patient with multiple comorbidities undergoing revision bariatric surgery may have a higher predicted mortality risk. This information is crucial for informed consent discussions, allowing patients to understand the potential risks involved and make informed decisions about their treatment options.

  • Prediction of Specific Surgical Complications

    The tool offers predictions for specific surgical complications, including anastomotic leaks, strictures, and internal hernias. These predictions are based on the patient’s individual risk factors and the type of bariatric procedure performed. For instance, patients undergoing Roux-en-Y gastric bypass may have a higher predicted risk of anastomotic leaks compared to those undergoing sleeve gastrectomy. Such predictions enable surgeons to take specific precautions during surgery and implement targeted monitoring protocols postoperatively.

  • Length of Stay and Resource Utilization

    While not a direct measure of a clinical outcome, the calculators predictions can indirectly inform expectations regarding length of hospital stay and associated resource utilization. Patients with higher predicted risk scores may be expected to require longer hospital stays and more intensive postoperative care due to the increased likelihood of complications. Anticipating these needs allows for better resource allocation and preparation, potentially reducing the overall burden on healthcare systems.

In summary, the American College of Surgeons Bariatric Risk Calculator offers a multifaceted approach to surgical outcome prediction, encompassing a range of potential complications and adverse events. Its effective use requires accurate data input, appropriate interpretation of risk scores, and integration into a broader clinical context. The calculator’s predictions serve as valuable tools for informing clinical decision-making, enhancing patient counseling, and improving overall patient safety in bariatric surgery.

5. Clinical Decision Support

Clinical Decision Support (CDS) systems are instrumental in modern healthcare, providing clinicians with evidence-based information at the point of care to enhance decision-making processes. The American College of Surgeons Bariatric Risk Calculator functions as a pivotal component within the broader framework of CDS, specifically tailored to the complexities of bariatric surgery.

  • Risk Assessment and Personalized Treatment Planning

    The risk calculator aids in CDS by providing a quantitative assessment of patient-specific risks associated with bariatric procedures. This allows clinicians to tailor treatment plans to mitigate potential complications and optimize outcomes. For example, if the calculator indicates a high risk of pulmonary embolism, a physician might implement aggressive prophylactic measures, such as extended anticoagulation therapy, as part of the CDS protocol.

  • Guidance on Surgical Procedure Selection

    CDS tools, incorporating the risk calculator, assist surgeons in selecting the most appropriate surgical approach based on patient characteristics and risk profiles. A patient with significant cardiovascular comorbidities identified by the calculator might be deemed a higher risk for Roux-en-Y gastric bypass compared to sleeve gastrectomy. The CDS system, drawing on the calculator’s output, can suggest the less invasive procedure to minimize potential complications.

  • Informed Consent and Patient Education

    The risk calculator supports CDS by facilitating more informed consent discussions between clinicians and patients. By quantifying potential risks and benefits, the tool empowers patients to make informed decisions about their treatment options. If the calculator estimates a substantially elevated risk of a specific complication, this information can be used in CDS to provide targeted educational resources and counseling to the patient, ensuring a comprehensive understanding of the potential implications.

  • Post-operative Monitoring and Management

    CDS systems that incorporate the American College of Surgeons Bariatric Risk Calculator extend into post-operative care. The calculators risk predictions can guide the intensity of post-operative monitoring and the implementation of targeted interventions to address potential complications. Patients with higher predicted risk scores may receive closer monitoring, more frequent follow-up appointments, and earlier intervention strategies to manage any emerging issues.

The integration of the American College of Surgeons Bariatric Risk Calculator within CDS frameworks significantly enhances the quality and safety of bariatric surgery. By providing clinicians with evidence-based risk assessments and facilitating personalized treatment strategies, these systems contribute to improved patient outcomes and more effective resource utilization in healthcare settings.

6. Informed Consent Process

The informed consent process in bariatric surgery is significantly enhanced by the utilization of the American College of Surgeons Bariatric Risk Calculator. The calculator provides quantitative risk assessments, which serve as a critical foundation for comprehensive patient education and shared decision-making. Without such a tool, the discussion of potential surgical risks can be subjective and lack the precision needed for patients to make truly informed choices. For example, conveying a generic statement about the risk of pulmonary embolism is far less informative than presenting a patient-specific risk estimate generated by the calculator based on their individual medical history and comorbidities.

The calculator’s ability to predict specific risks, such as mortality, major complications, and surgical complications, allows surgeons to have detailed conversations with patients about the potential benefits and drawbacks of the procedure. The informed consent process, strengthened by the calculator’s data, ensures patients understand the statistical probabilities associated with different outcomes, enabling them to weigh the potential advantages of weight loss against the possible adverse events. This empowers patients to actively participate in their care plan, ensuring their values and preferences are aligned with the chosen treatment strategy. Failure to adequately incorporate these quantified risks could be construed as a deficiency in the consent process, potentially leading to unrealistic expectations or dissatisfaction post-operatively.

In conclusion, the American College of Surgeons Bariatric Risk Calculator is integral to a robust informed consent process in bariatric surgery. By providing data-driven risk assessments, it supports transparent communication, enhances patient understanding, and promotes shared decision-making. Addressing the limitations of the calculator, such as its dependence on accurate data input and the evolving nature of surgical techniques, remains a critical element of responsible clinical practice. This integration ensures that the informed consent process is not merely a formality but a meaningful engagement that prioritizes patient autonomy and well-being.

7. Database Maintenance

Database maintenance is a critical, ongoing process essential for the reliability and validity of the American College of Surgeons Bariatric Risk Calculator. The calculator’s predictive accuracy hinges on the currency and integrity of its underlying data repository. Without consistent and meticulous maintenance, the calculator’s outputs become increasingly unreliable, potentially compromising clinical decision-making and patient safety.

  • Data Integrity and Accuracy

    Regular data cleansing and validation are fundamental aspects of database maintenance. This includes identifying and correcting errors, inconsistencies, and missing values within the dataset. For instance, if patient demographic information, such as BMI or comorbidity status, is inaccurately recorded, the calculator’s risk predictions will be skewed. A robust data integrity protocol, with automated checks and manual audits, ensures that the calculator operates on a foundation of reliable information.

  • Regular Updates and Expansions

    The field of bariatric surgery is constantly evolving with new surgical techniques, improved patient management protocols, and emerging risk factors. To remain relevant, the database supporting the American College of Surgeons Bariatric Risk Calculator must be regularly updated to reflect these advancements. For example, the introduction of a new minimally invasive surgical approach necessitates the inclusion of data related to its specific outcomes and potential complications. Failing to incorporate such updates renders the calculator increasingly obsolete and potentially misleading.

  • Security and Privacy Compliance

    Database maintenance also encompasses stringent security measures to protect patient data from unauthorized access, breaches, and misuse. Compliance with regulations such as HIPAA is paramount. Maintaining secure access controls, implementing encryption protocols, and conducting regular security audits are essential components of a robust maintenance strategy. A data breach not only compromises patient privacy but can also erode trust in the calculator and its utility.

  • Performance Optimization

    As the database grows in size and complexity, performance optimization becomes increasingly important. Regular maintenance activities, such as indexing, query optimization, and data archiving, ensure that the calculator responds quickly and efficiently to user requests. Slow response times or system outages can hinder clinical workflow and undermine the calculator’s effectiveness as a decision support tool. Proactive performance monitoring and tuning are essential for maintaining optimal usability.

The facets of database maintenance discussed above underscore its foundational role in sustaining the value and relevance of the American College of Surgeons Bariatric Risk Calculator. Continuous attention to data integrity, regular updates, security compliance, and performance optimization are essential for ensuring that the calculator remains a reliable and valuable resource for clinicians and patients alike. Without a commitment to rigorous database maintenance, the potential benefits of the calculator will be significantly diminished, ultimately impacting the quality of care provided to bariatric surgery patients.

8. Predictive Model Validation

Predictive model validation constitutes a crucial process in ensuring the reliability and accuracy of the American College of Surgeons Bariatric Risk Calculator. This validation process aims to assess the model’s ability to accurately predict surgical outcomes in a population separate from the one used to develop the model.

  • Internal Validation Techniques

    Internal validation techniques, such as bootstrapping and cross-validation, are employed to assess the stability and generalizability of the risk calculator’s predictions within the original dataset. Bootstrapping involves resampling the original dataset multiple times to create new datasets, and then rebuilding the model on each resampled dataset. Cross-validation, on the other hand, partitions the original dataset into subsets, using some subsets for training and others for testing. These methods provide insights into how well the model performs on different subsets of the data, highlighting potential biases or overfitting issues. For instance, if the calculator consistently overestimates the risk of complications in certain subgroups during cross-validation, it indicates a need for model refinement. These processes are conducted using the datasets maintained by American College of Surgeons.

  • External Validation Studies

    External validation studies involve testing the risk calculator’s performance on datasets from different institutions, geographic regions, or patient populations. This is critical for assessing the model’s generalizability and applicability beyond the original development cohort. For example, a study might evaluate the calculator’s accuracy in predicting outcomes at a community hospital that wasn’t involved in the model’s creation. If the calculator performs poorly on an external dataset, it suggests that the model may not be universally applicable and requires recalibration or modification to account for differences in patient characteristics or surgical practices.

  • Calibration Assessment

    Calibration assessment evaluates the agreement between the predicted probabilities generated by the risk calculator and the observed outcomes in the validation dataset. A well-calibrated model should exhibit a close correspondence between predicted and observed event rates. For example, if the calculator predicts a 10% risk of mortality for a group of patients, approximately 10% of those patients should actually experience mortality. Calibration plots and statistical tests, such as the Hosmer-Lemeshow test, are used to assess the calibration of the model. Poor calibration indicates that the calculator is either overestimating or underestimating risks, necessitating adjustments to the model’s parameters.

  • Discrimination Assessment

    Discrimination assessment evaluates the model’s ability to distinguish between patients who will experience an event and those who will not. This is typically assessed using measures such as the area under the receiver operating characteristic curve (AUC). An AUC of 0.5 indicates that the model performs no better than random chance, while an AUC of 1.0 indicates perfect discrimination. For example, an AUC of 0.8 suggests that the calculator can effectively differentiate between patients at high risk and those at low risk of developing complications. Inadequate discrimination limits the calculator’s clinical utility in guiding treatment decisions and risk mitigation strategies.

These validation techniques collectively provide a comprehensive assessment of the American College of Surgeons Bariatric Risk Calculator’s performance, ensuring that it generates reliable and accurate predictions for a diverse range of patients undergoing bariatric surgery. Continuous monitoring and re-validation of the model are essential to maintain its predictive accuracy over time and to adapt to evolving surgical practices and patient populations. The validation insights also inform model refinements, leading to improvements in its design and deployment.

Frequently Asked Questions

This section addresses common inquiries regarding the American College of Surgeons Bariatric Risk Calculator, aiming to provide clarity on its functionality, limitations, and appropriate application.

Question 1: What is the intended purpose of the American College of Surgeons Bariatric Risk Calculator?

The primary purpose is to provide a quantitative estimate of the risk of adverse outcomes associated with bariatric surgical procedures. It assists surgeons in evaluating individual patient risk profiles to facilitate informed consent and optimize treatment strategies.

Question 2: What types of data are required to utilize the American College of Surgeons Bariatric Risk Calculator?

The calculator requires patient-specific data, including demographics (age, sex, BMI), pre-existing medical conditions (diabetes, hypertension, cardiovascular disease), pre-operative laboratory values, and the specific bariatric surgical procedure planned.

Question 3: How should the risk scores generated by the American College of Surgeons Bariatric Risk Calculator be interpreted?

The risk scores represent statistical probabilities of specific adverse events occurring within a defined postoperative period. These scores are not definitive predictions but rather estimates derived from aggregated data. They must be interpreted in conjunction with clinical judgment and individual patient circumstances.

Question 4: What are the limitations of the American College of Surgeons Bariatric Risk Calculator?

The calculator’s accuracy is dependent on the accuracy of input data and the validity of the underlying statistical model. It does not account for all potential risk factors and is not a substitute for clinical expertise. Furthermore, the model’s performance may vary across different patient populations or surgical settings.

Question 5: How frequently is the American College of Surgeons Bariatric Risk Calculator updated?

The American College of Surgeons periodically updates the risk calculator to incorporate new data, reflect advancements in surgical techniques, and address identified limitations. The frequency of updates may vary depending on the availability of new evidence and the extent of model revisions required.

Question 6: Is the American College of Surgeons Bariatric Risk Calculator intended to be used as the sole determinant in surgical decision-making?

No. The calculator serves as a valuable tool to augment clinical decision-making, but it should not be used in isolation. Surgical decisions must be based on a comprehensive assessment of the patient’s overall health status, preferences, and the surgeon’s professional judgment.

In summary, the American College of Surgeons Bariatric Risk Calculator provides a quantitative framework for assessing surgical risks, but it is essential to recognize its limitations and integrate its output judiciously into the clinical decision-making process.

The subsequent section will delve into the ethical considerations surrounding the utilization of this risk assessment tool.

Tips for Using the American College of Surgeons Bariatric Risk Calculator

This section provides guidance for maximizing the effectiveness and minimizing potential misinterpretations when employing the American College of Surgeons Bariatric Risk Calculator in clinical practice.

Tip 1: Prioritize Data Accuracy: The validity of the risk assessment hinges on the precision of the input data. Meticulous attention should be given to verifying patient demographics, medical history, laboratory values, and planned surgical procedures. Inaccurate data will inevitably compromise the calculator’s output and lead to potentially flawed clinical decisions. Double-check entries and cross-reference with patient records to ensure accuracy.

Tip 2: Understand the Statistical Foundation: The risk scores generated represent statistical probabilities, not definitive predictions. A score indicating a 5% risk of a specific complication does not guarantee that the patient will experience that complication, but rather suggests a 5 in 100 chance based on the data used to develop the calculator. This understanding is crucial for managing patient expectations and avoiding misinterpretations.

Tip 3: Integrate Clinical Judgment: The calculator is a tool, not a substitute for clinical expertise. The risk scores should be considered in conjunction with the surgeon’s judgment, the patient’s overall health status, and other relevant clinical information. A high-risk score does not automatically preclude surgery; it necessitates further evaluation and optimization strategies.

Tip 4: Communicate Risks Clearly to Patients: The calculator provides a quantitative basis for discussing potential risks with patients during the informed consent process. Surgeons should explain the risk scores in clear, understandable language, avoiding technical jargon. Ensure that patients comprehend the statistical probabilities associated with different outcomes and their implications for their individual circumstances. Tailor this discussion to be specific by using the ACS-BRC score for each patient.

Tip 5: Stay Updated on Model Revisions: The American College of Surgeons periodically updates the risk calculator to incorporate new data and reflect advancements in surgical techniques. Surgeons should stay informed about these updates and ensure that they are using the most current version of the tool. Outdated models may yield inaccurate risk assessments.

Tip 6: Acknowledge Limitations: Be cognizant of the calculator’s inherent limitations. It may not account for all relevant risk factors, and its predictive accuracy may vary across different patient populations. Acknowledge these limitations when interpreting the risk scores and communicating with patients. The tool does not capture, for example, skill of individual surgeons.

Tip 7: Document Risk Assessment Process: Thoroughly document the use of the American College of Surgeons Bariatric Risk Calculator in the patient’s medical record. This documentation should include the date of assessment, the data inputs, the generated risk scores, and a summary of the discussion with the patient regarding the risks and benefits of surgery. This documentation provides a clear record of the risk assessment process and supports informed decision-making.

By adhering to these guidelines, clinicians can optimize the use of the American College of Surgeons Bariatric Risk Calculator to enhance patient care, improve surgical outcomes, and promote informed decision-making.

The subsequent section will explore the ethical dimensions associated with the implementation of this risk assessment instrument.

Conclusion

The exploration of the American College of Surgeons Bariatric Risk Calculator has illuminated its multifaceted role in contemporary bariatric surgical practice. Its capacity to provide quantitative risk assessments, guide clinical decision-making, enhance patient counseling, and facilitate informed consent is undeniable. However, the necessity of accurate data input, appropriate interpretation of risk scores, ongoing database maintenance, and vigilant model validation is paramount for its effective and ethical utilization.

As the landscape of bariatric surgery continues to evolve, so too must the application and refinement of tools such as the American College of Surgeons Bariatric Risk Calculator. The ongoing pursuit of precision and the unwavering commitment to patient safety must remain central to the responsible integration of this technology into clinical practice. The collective efforts of surgeons, researchers, and policymakers are essential to ensure that this tool continues to serve as a valuable asset in the pursuit of optimal outcomes for patients undergoing bariatric surgery.