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Obesity Surgery

, Volume 27, Issue 7, pp 1705–1708 | Cite as

Prediction of Diabetes Remission at Long Term Following Biliopancreatic Diversion

  • Nicola Scopinaro
  • Gian Franco Adami
  • Paolo Bruzzi
  • Renzo Cordera
Original Contributions

Abstract

Importance

In obese patients with type 2 diabetes (T2DM), the marked weight loss following bariatric surgery is accompanied in a consistent number of cases by T2DM resolution or control. The clinical need of preoperative parameters reliable in predicting a positive metabolic outcome at long term following the operation has then emerged.

Observation

A cohort of 135 consecutive T2DM patients with a wide range of body mass index (BMI) at more than 5 years following biliopancreatic diversion (BPD) was considered. The 5-year-T2DM resolution, defined as glycosylated hemoglobin (HbA1C) lower than 6.5% without antidiabetic therapy, was related to demographic, anthropometric, and biochemical findings prior to the operation. The long-term metabolic outcome was positively related to baseline BMI values and negatively with the preoperative use of insulin.

Conclusion

BMI and insulin therapy at the time of surgery are associated with the probability of T2DM long lasting remission and could be used as solid predictors before surgery. In the overweight and non morbidly obese diabetic patients, bariatric surgery is less efficient in determining long term T2DM resolution than in their morbid obese counterparts.

Keywords

Baritatric surgery Type 2 diabetes Obesity 

Notes

Compliance with Ethical Standards

In this type of study, ethical approval is not necessary.

Conflict of Interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Nicola Scopinaro
    • 1
  • Gian Franco Adami
    • 2
    • 3
  • Paolo Bruzzi
    • 4
  • Renzo Cordera
    • 2
    • 3
  1. 1.Department of SurgeryIRCCS San Martino and Università di GenovaGenoaItaly
  2. 2.Department of EndocrinologyIRCCS San Martino and Università di GenovaGenoaItaly
  3. 3.Department of Internal MedicineUniversity of GenovaGenoaItaly
  4. 4.Department of StatisticsIRCCS San Martino and Università di GenovaGenoaItaly

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