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Risk Prediction Mod...
Risk Prediction Model for Severe Postoperative Complication in Bariatric Surgery
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- Stenberg, Erik, 1979- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Surgery, Örebro University Hospital, Örebro, Sweden
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- Cao, Yang, 1972- (författare)
- Karolinska Institutet,Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden,Clinical Epidemiology and Biostatistics
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- Szabo, Eva, 1973- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Surgery, Örebro University Hospital, Örebro, Sweden
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- Näslund, Erik (författare)
- Karolinska Institutet
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- Näslund, Ingmar (författare)
- Department of Surgery, Örebro University Hospital, Örebro, Sweden
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- Ottosson, Johan, 1957- (författare)
- Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Surgery, Örebro University Hospital, Örebro, Sweden
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(creator_code:org_t)
- 2018-01-12
- 2018
- Engelska.
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Ingår i: Obesity Surgery. - : Springer. - 0960-8923 .- 1708-0428. ; 28:7, s. 1869-1875
- Relaterad länk:
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https://doi.org/10.1...
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https://link.springe...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kirurgi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Surgery (hsv//eng)
Nyckelord
- Morbid obesity
- Prediction model
- Postoperative complication
- Bariatric surgery
- Risk factor
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
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Stenberg, Erik, ...
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Cao, Yang, 1972-
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Szabo, Eva, 1973 ...
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Näslund, Erik
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Näslund, Ingmar
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Ottosson, Johan, ...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Kirurgi
- Artiklar i publikationen
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Obesity Surgery
- Av lärosätet
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Örebro universitet
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Karolinska Institutet