| 11. |
- Stenberg, Erik, 1979-, et al.
(författare)
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Risk Prediction Model for Severe Postoperative Complication in Bariatric Surgery
- 2018
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Ingår i: Obesity Surgery. - : Springer. - 0960-8923 .- 1708-0428. ; 28:7, s. 1869-1875
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Factors associated with risk for adverse outcome are important considerations in the preoperative assessment of patients for bariatric surgery. As yet, prediction models based on preoperative risk factors have not been able to predict adverse outcome sufficiently.OBJECTIVE: This study aimed to identify preoperative risk factors and to construct a risk prediction model based on these.METHODS: Patients who underwent a bariatric surgical procedure in Sweden between 2010 and 2014 were identified from the Scandinavian Obesity Surgery Registry (SOReg). Associations between preoperative potential risk factors and severe postoperative complications were analysed using a logistic regression model. A multivariate model for risk prediction was created and validated in the SOReg for patients who underwent bariatric surgery in Sweden, 2015.RESULTS: Revision surgery (standardized OR 1.19, 95% confidence interval (CI) 1.14-0.24, p < 0.001), age (standardized OR 1.10, 95%CI 1.03-1.17, p = 0.007), low body mass index (standardized OR 0.89, 95%CI 0.82-0.98, p = 0.012), operation year (standardized OR 0.91, 95%CI 0.85-0.97, p = 0.003), waist circumference (standardized OR 1.09, 95%CI 1.00-1.19, p = 0.059), and dyspepsia/GERD (standardized OR 1.08, 95%CI 1.02-1.15, p = 0.007) were all associated with risk for severe postoperative complication and were included in the risk prediction model. Despite high specificity, the sensitivity of the model was low.CONCLUSION: Revision surgery, high age, low BMI, large waist circumference, and dyspepsia/GERD were associated with an increased risk for severe postoperative complication. The prediction model based on these factors, however, had a sensitivity that was too low to predict risk in the individual patient case.
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| 12. |
- Stenberg, Erik, 1979-, et al.
(författare)
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The association between socioeconomic factors and weight loss 5 years after gastric bypass surgery
- 2020
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Ingår i: International Journal of Obesity. - : Nature Publishing Group. - 0307-0565 .- 1476-5497. ; 44:11, s. 2279-2290
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Patients with low socioeconomic status have been reported to have poorer outcome than those with a high socioeconomic status after several types of surgery. The influence of socioeconomic factors on weight loss after bariatric surgery remains unclear. The aim of the present study was to evaluate the association between socioeconomic factors and postoperative weight loss.Materials and methods: This was a retrospective, nationwide cohort study with 5-year follow-up data for 13,275 patients operated with primary gastric bypass in Sweden between January 2007 and December 2012 (n = 13,275), linking data from the Scandinavian Obesity Surgery Registry, Statistics Sweden, the Swedish National Patient Register, and the Swedish Prescribed Drugs Register. The assessed socioeconomic variables were education, profession, disposable income, place of residence, marital status, financial aid and heritage. The main outcome was weight loss 5 years after surgery, measured as total weight loss (TWL). Linear regression models, adjusted for age, preoperative body mass index (BMI), sex and comorbid diseases were constructed.Results: The mean TWL 5 years after surgery was 28.3 +/- 9.86%. In the adjusted model, first-generation immigrants (%TWL, B -2.4 [95% CI -2.9 to -1.9],p < 0.0001) lost significantly less weight than the mean, while residents in medium-sized (B 0.8 [95% CI 0.4-1.2],p = 0.0001) or small towns (B 0.8 [95% CI 0.4-1.2],p < 0.0001) lost significantly more weight.Conclusions: All socioeconomic groups experienced improvements in weight after bariatric surgery. However, as first-generation immigrants and patients residing in larger towns (>200,000 inhabitants) tend to have inferior weight loss compared to other groups, increased support in the pre- and postoperative setting for these two groups could be of value. The remaining socioeconomic factors appear to have a weaker association with postoperative weight loss.
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| 13. |
- Stenberg, Erik, 1979-, et al.
(författare)
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The impact of socioeconomic factors on the early postoperative complication rate after laparoscopic gastric bypass surgery : A register-based cohort study
- 2019
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Ingår i: Surgery for Obesity and Related Diseases. - : Elsevier. - 1550-7289 .- 1878-7533. ; 15:4, s. 575-581
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Tidskriftsartikel (refereegranskat)abstract
- Background: Socioeconomic factors may influence the outcome of certain surgical procedures, but it is not known whether such factors influence the risk for postoperative complication after bariatric surgery.Objectives: Determining whether different socioeconomic factors influence the risk for postoperative complication after laparoscopic gastric bypass surgery.Setting: Nationwide in Sweden.Methods: Retrospective register-based cohort study that includes all primary laparoscopic gastric bypass procedures in Sweden between 2010 and 2016, using data from the Scandinavian Obesity Surgery Registry, Statistics Sweden, and the Swedish Population Register. Main outcome measures were occurrence and severity of early postoperative complications.Results: Included in this study were 41,537 patients with 30-day follow-up percentage of 96.7%. Study groups with increased risk for postoperative complication (age, sex, body mass index, and co-morbidity adjusted odds ratio with 95% confidence intervals) were as follows: being divorced, a widow, or a widower (1.14 [1.03-1.23]); receiving disability pension (1.37 [1.23-1.53]) or social assistance (1.22 [1.07-1.401); and being first- (1.22 [1.04-1.44]) or second-generation (1.20 [1.09-1.32]) immigrant. In contrast, being single (.90 [.83.991), having higher disposable income (50th-80th percentile:.84 [.76.93]; >80th percentile:.84 [72.98]), and living in a medium (.90 [.83.98]) or small (.84 [.76.92]) town were associated with lower risk. Increased risk for severe postoperative complication was seen for divorced, widowm, or widower (1.30 [1.12-1.521) and those receiving disability pension (1.37 [1.16-1.611) or social assistance (1.32 [1.08-1.62]), while higher disposable income (50th-80th percentile:.79 [.68.92]; >80th percentile .57 [.46.72]) was associated with lower risk.Conclusion: Socioeconomic factors influence the risk for early postoperative complication after laparoscopic gastric bypass surgery. The impact is not enough to exclude patients from surgery, but they must be taken into account in preoperative risk assessment.
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| 14. |
- Sundbom, Magnus, et al.
(författare)
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Results from the Scandinavian Obesity Surgery Registry : A narrative review
- 2024
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Ingår i: Obesity Reviews. - : Wiley-Blackwell Publishing Inc.. - 1467-7881 .- 1467-789X. ; 25:2
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Forskningsöversikt (refereegranskat)abstract
- In 2007, the Scandinavian Obesity Surgery Registry (SOReg) was started by the profession to monitor the results of bariatric surgery and to provide a high-quality database for research. In the end of August 2023, SOReg contains 88,379 patients (body mass index [BMI] 41.7 kg/m2 , 41.2 years, 77.1% females, gastric bypass 76.8%). In this narrative review, we demonstrate that preoperative weight loss is of value and that the laparoscopic double omega-loop technique is highly suitable for gastric bypass. Closing the mesenteric openings is, however, important. Swedish bariatric surgery has low mortality, and our results are comparative to those of other countries. Significant long-term improvements are found in common obesity-related diseases such as diabetes, hypertension, and sleep apnea. Furthermore, the risk for cardiac failure and major adverse cardiovascular events is significantly reduced. Pregnancy-related outcomes are also improved. Gastric bypass results in significant improvements in quality of life and seems to be cost saving. We have revealed that low socioeconomic status is associated with reduced chance of undergoing bariatric surgery and inferior outcomes. Of note, we have performed several randomized clinical trials within the registry database. In conclusion, high-quality national registry databases, such as SOReg, are important for maintaining high-quality care and present a platform for extensive research.
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| 15. |
- Wallén, Stefan, 1978-, et al.
(författare)
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Impact of socioeconomic status on new chronic opioid use after gastric bypass surgery
- 2023
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Ingår i: Surgery for Obesity and Related Diseases. - : Elsevier. - 1550-7289 .- 1878-7533. ; 19:12, s. 1375-1381
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Socioeconomic status may influence weight loss, postoperative complications, and health-related quality of life after bariatric surgery. Chronic use of opioid analgesics is a known risk after bariatric surgery, but whether socioeconomic factors are associated with new chronic use of opioid analgesics has not been investigated in depth.OBJECTIVES: The aim of this study was to identify socioeconomic factors associated with the development of new chronic use of opioid analgesics after gastric bypass surgery.SETTING: All hospitals performing bariatric surgery in Sweden.METHODS: This was a retrospective cohort study with prospectively collected data including all primary gastric bypass procedures in Sweden between 2007 and 2015. Data were collected from the Scandinavian Obesity Surgery Registry, the Swedish Prescribed Drug Register, and Statistics Sweden. The primary outcome was new chronic opioid use.RESULTS: Of the 44,671 participants, 1438 patients became new chronic opioid users. Longer education (secondary education; odds ratio [OR] = .71; 95% CI, .62-.81) or higher education (OR = .45; 95% CI, .38-.53), higher disposable income (20th-50th percentile: OR = .75; 95% CI, .66-.85; 50th-80th percentile: OR = .50; 95% CI, .43-.58; and the highest 80th percentile: OR = .40; 95% CI, .32-.51) were significantly associated with lower risk for new chronic opioid use. Being a second-generation immigrant (OR = 1.54; 95% CI, 1.24-1.90), being on a disability pension or early retirement (OR = 3.04; 95% CI, 2.67-3.45), receiving social benefits (OR = 1.88; 95% CI, 1.59-2.22), being unemployed for <100 days (OR = 1.25; 95% CI, 1.08-1.45), being unemployed for >100 days (OR = 1.41; 95% CI, 1.16-1.71), and being divorced or a widow or widower (OR = 1.35; 95% CI, 1.17-1.55) were significantly associated with a higher risk for chronic opioid use.CONCLUSION: Given that long-term opioid use has detrimental effects after bariatric surgery, it is important that information and follow-up are optimized for patients with shorter education, lower income, and disability pension or early retirement because they are at an increased risk of new chronic opioid analgesics use.
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| 16. |
- Anna Karin, Hedström, et al.
(författare)
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The impact of bariatric surgery on disease activity and progression of multiple sclerosis : A nationwide matched cohort study
- 2022
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Ingår i: Multiple Sclerosis Journal. - : Sage Publications. - 1352-4585 .- 1477-0970. ; 28:13, s. 2099-2105
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Surgical outcomes in patients with multiple sclerosis (MS) following metabolic surgery appear to be similar compared to those of the general bariatric population.OBJECTIVE: To study the impact of metabolic surgery on the clinical course of MS.METHODS: Using data from the Scandinavian Obesity Surgery Registry and the Swedish Multiple Sclerosis register, we compared disease outcomes in 122 cases of MS who had undergone metabolic surgery with those of 122 cases of MS without surgery, matched by a two-staged Propensity score match, including age at disease onset, sex, MS phenotype, body mass index, and preoperative severity of MS as measured by the Expanded Disability Status Scale.RESULTS: The time to 6-month confirmed disability progression during the first five years postbaseline was shorter among the surgical patients (hazard ratio (HR) = 2.31, 95% confidence interval (CI) = 1.09-4.90; p = 0.03). No differences were observed regarding postoperative annual relapse rate (p = 0.24) or time to first postoperative relapse (p = 0.52).CONCLUSION: Although metabolic surgery appears to be a safe and efficient treatment of obesity in patients with MS, the clinical course of the disease might be negatively affected. Long-term nutritional follow-up after surgery and supplementation maintenance are crucial, particularly among those with preoperative deficits.
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| 17. |
- Backman, Olof, et al.
(författare)
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Gastric Bypass Surgery Reduces De Novo Cases of Type 2 Diabetes to Population Levels : A Nationwide Cohort Study From Sweden
- 2019
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Ingår i: Annals of Surgery. - : Lippincott Williams & Wilkins. - 0003-4932 .- 1528-1140. ; 269:5, s. 895-902
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: The aim of this study was to determine long-term changes in pharmacological treatment of type 2 diabetes after primary Roux-en-Y gastric bypass (RYGB) surgery, in patients with and without pharmacological treatment of diabetes preoperatively.SUMMARY OF BACKGROUND DATA: Several studies have shown that gastric bypass has good effect on diabetes, at least in the short-term. This study is a nationwide cohort study using Swedish registers, with basically no patients lost to follow-up during up to 7 years after surgery.METHODS: The effect of RYGB on type 2 diabetes drug treatment was evaluated in this nationwide matched cohort study. Participants were 22,047 adults with BMI ≥30 identified in the nationwide Scandinavian Surgical Obesity Registry, who underwent primary RYGB between 2007 and 2012. For each individual, up to 10 general population comparators were matched on birth year, sex, and place of residence. Prescription data were retrieved from the nationwide Swedish Prescribed Drug Register through September 2015. Incident use of pharmacological treatment was analyzed using Cox regression.RESULTS: Sixty-seven percent of patients with pharmacological treatment of type 2 diabetes before surgery were not using diabetes drugs 2 years after surgery and 61% of patients were not pharmacologically treated up to 7 years after surgery. In patients not using diabetes drugs at baseline, there were 189 new cases of pharmacological treatment of type 2 diabetes in the surgery group and 2319 in the matched general population comparators during a median follow-up of 4.6 years (incidence: 21.4 vs 27.9 per 10,000 person-years; adjusted hazard ratio 0.77, 95% confidence interval 0.67-0.89; P < 0.001).CONCLUSIONS: Gastric bypass surgery not only induces remission of pharmacological treatment of type 2 diabetes but also protects from new onset of pharmacological diabetes treatment. The effect seems to persist in most, but not all, patients over 7 years of follow-up.
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| 18. |
- Cao, Yang, Associate Professor, 1972-, et al.
(författare)
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A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery
- 2019
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Ingår i: Journal of Clinical Medicine. - : MDPI. - 2077-0383. ; 8:5
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Tidskriftsartikel (refereegranskat)abstract
- Background: Severe obesity is a global public health threat of growing proportions. Accurate models to predict severe postoperative complications could be of value in the preoperative assessment of potential candidates for bariatric surgery. So far, traditional statistical methods have failed to produce high accuracy. We aimed to find a useful machine learning (ML) algorithm to predict the risk for severe complication after bariatric surgery.Methods: We trained and compared 29 supervised ML algorithms using information from 37,811 patients that operated with a bariatric surgical procedure between 2010 and 2014 in Sweden. The algorithms were then tested on 6250 patients operated in 2015. We performed the synthetic minority oversampling technique tackling the issue that only 3% of patients experienced severe complications.Results: Most of the ML algorithms showed high accuracy (>90%) and specificity (>90%) in both the training and test data. However, none of the algorithms achieved an acceptable sensitivity in the test data. We also tried to tune the hyperparameters of the algorithms to maximize sensitivity, but did not yet identify one with a high enough sensitivity that can be used in clinical praxis in bariatric surgery. However, a minor, but perceptible, improvement in deep neural network (NN) ML was found.Conclusion: In predicting the severe postoperative complication among the bariatric surgery patients, ensemble algorithms outperform base algorithms. When compared to other ML algorithms, deep NN has the potential to improve the accuracy and it deserves further investigation. The oversampling technique should be considered in the context of imbalanced data where the number of the interested outcome is relatively small.
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| 19. |
- Cao, Yang, Associate Professor, 1972-, et al.
(författare)
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Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery : Analysis of Scandinavian Obesity Surgery Registry Data
- 2020
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Ingår i: JMIR Medical Informatics. - : JMIR Publications. - 2291-9694. ; 8:5
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Obesity is one of today's most visible public health problems worldwide. Although modern bariatric surgery is ostensibly considered safe, serious complications and mortality still occur in some patients.OBJECTIVE: This study aimed to explore whether serious postoperative complications of bariatric surgery recorded in a national quality registry can be predicted preoperatively using deep learning methods.METHODS: Patients who were registered in the Scandinavian Obesity Surgery Registry (SOReg) between 2010 and 2015 were included in this study. The patients who underwent a bariatric procedure between 2010 and 2014 were used as training data, and those who underwent a bariatric procedure in 2015 were used as test data. Postoperative complications were graded according to the Clavien-Dindo classification, and complications requiring intervention under general anesthesia or resulting in organ failure or death were considered serious. Three supervised deep learning neural networks were applied and compared in our study: multilayer perceptron (MLP), convolutional neural network (CNN), and recurrent neural network (RNN). The synthetic minority oversampling technique (SMOTE) was used to artificially augment the patients with serious complications. The performances of the neural networks were evaluated using accuracy, sensitivity, specificity, Matthews correlation coefficient, and area under the receiver operating characteristic curve.RESULTS: In total, 37,811 and 6250 patients were used as the training data and test data, with incidence rates of serious complication of 3.2% (1220/37,811) and 3.0% (188/6250), respectively. When trained using the SMOTE data, the MLP appeared to have a desirable performance, with an area under curve (AUC) of 0.84 (95% CI 0.83-0.85). However, its performance was low for the test data, with an AUC of 0.54 (95% CI 0.53-0.55). The performance of CNN was similar to that of MLP. It generated AUCs of 0.79 (95% CI 0.78-0.80) and 0.57 (95% CI 0.59-0.61) for the SMOTE data and test data, respectively. Compared with the MLP and CNN, the RNN showed worse performance, with AUCs of 0.65 (95% CI 0.64-0.66) and 0.55 (95% CI 0.53-0.57) for the SMOTE data and test data, respectively.CONCLUSIONS: MLP and CNN showed improved, but limited, ability for predicting the postoperative serious complications after bariatric surgery in the Scandinavian Obesity Surgery Registry data. However, the overfitting issue is still apparent and needs to be overcome by incorporating intra- and perioperative information.
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| 20. |
- Dahlberg, Karuna, 1979-, et al.
(författare)
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Incident self-harm after bariatric surgery : A nationwide registry-based matched cohort study
- 2023
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Ingår i: Clinical Obesity. - : John Wiley & Sons. - 1758-8103 .- 1758-8111. ; 13:3
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Tidskriftsartikel (refereegranskat)abstract
- The aims of this study were to evaluate the longitudinal risk of self-harm and the risk factors for self-harm after bariatric surgery in patients and control subjects without prior self-harm. This observational cohort study was based on prospectively registered data. Patients 18–70 years at time of surgery, body mass index (BMI) > 30 kg/m2, who underwent a primary Roux-en-Y gastric bypass (RYGB) procedure or a primary sleeve gastrectomy between 2007 and 2019 were considered for inclusion. All patients who met the inclusion criteria were matched 1:10 to the general population in Sweden (69 492 patients vs. 694 920 controls). After excluding patients and controls with previous self-harm, a self-harm event occurred in 1408 patients in the surgical group (incidence rate (IR) 3.54/1000 person-years, 95% confidence interval (CI) 3.36–3.73) versus in 3162 patients in the control group (IR 0.81/1000 person-years, 95% CI 0.78–0.84), with a hazard ratio (HR) of 4.38 (95% CI 4.11–4.66, p < .001). Median follow-up time was 6.1 years. Risk factors were younger age, lower BMI, cardiovascular, and chronic obstructive pulmonary disease, all aspects of psychiatric comorbidities (except neuropsychiatric disorder), lower socioeconomic status, RYGB, lower health-related quality of life, lower postoperative weight loss, and not attending postoperative follow-up visits. Self-harm is clearly higher after bariatric surgery than in the general population. A qualitative follow-up may be particularly important for patients at increased risk.
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