Literature DB >> 36193728

Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring.

Sang-Man Jin1.   

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Year:  2022        PMID: 36193728      PMCID: PMC9532168          DOI: 10.4093/dmj.2022.0307

Source DB:  PubMed          Journal:  Diabetes Metab J        ISSN: 2233-6079            Impact factor:   5.893


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Continuous glucose monitoring (CGM) has revolutionized the management of diabetes requiring intensive insulin therapy. In the last decade, the indications of CGM have expanded to various areas, including but not limited to non-intensive insulin therapy [1], behavioral modification in type 2 diabetes mellitus [2], and in-hospital glucose monitoring during the coronavirus disease 2019 (COVID-19) pandemic [3]. The role of CGM in perioperative management of metabolic surgery, which has a profound and immediate impact on glucose metabolism even before weight loss occurs, has been extensively investigated. After metabolic surgery, particularly Roux-en-Y gastric bypass (RYGB), accelerated absorption of nutrients with increased secretion of incretin and insulin are believed to result in postbariatric hypoglycemia (PBH) [4,5]. Recently, it has been reported that asymptomatic hypoglycemia, which predominantly occurs during the nighttime, is relatively common after sleeve gastrectomy (SG). Greater glycemic variability and symptomatic hypoglycemia, which are often post-prandial, characterize glycemic patterns after RYGB [6]. In addition to the post-prandial changes, patients with PBH after RYGB also showed higher glycemic variability and increased time below range (TBR, <70 mg/dL) compared to healthy controls at night, indicating additional pathophysiologic mechanisms beyond prandial changes [7]. In this issue of Diabetes and Metabolism Journal, Kim et al. [8] reported the standardized core CGM metrics obtained by intermittently scanned CGM (isCGM) during the perioperative period of metabolic surgery. The study identified improvements of mean glucose and glycemic variability and increase of hypoglycemia after metabolic surgery [8]. In this study [8], standardized core CGM metrics of three days before and three days after surgery were analyzed. The majority of participants underwent laparoscopic SG with duodenojejunal bypass (50%) or laparoscopic SG alone (30%). Improvement of mean glucose and glycemic variability appeared immediately after the surgery, reaching steady state at 3 days after the metabolic surgery. The TBR (<70 or 54 mg/dL) was significantly increased and time above range (>250 or 180 mg/dL) was significantly decreased after surgery. This resulted in a non-significant decrease in time in range (TIR, 70 to 180 mg/dL) in those with baseline glycosylated hemoglobin (HbA1c) <8.0% (85.0% to 78.7%, n=13) and a significantly increased TIR in those with baseline HbA1c ≥8.0% (50.9% to 90.4%, n=7). It should be noted that the participants in this study would not have had a profoundly increased risk of severe hypoglycemia such as that in people with type 1 diabetes mellitus or long-standing type 2 diabetes mellitus at baseline. Although only one individual experienced symptomatic hypoglycemia, the authors were able to detect rapid glycemic changes by isCGM during the perioperative period and discontinued insulin and oral glucose lowering drugs proactively. Importantly, an overall increase in TBR <54 mg/dL from 0.4%±1.1% to 3.9%±8.1%, which further increased during the night (0.1%±0.5% to 10.2%±21.0%), highlights the importance of proactive management to prevent hypoglycemia in the postoperative period of metabolic surgery, even when the patients do not complain of symptoms of hypoglycemia. Increase in TBR <54 mg/dL was more prominent when baseline HbA1c was <8.0%, reaching 6.5% after metabolic surgery, indicating the need for a high index of suspicion for PBH in such cases. Lack of symptomatic hypoglycemia in all but one study participant in this study despite the marked increase in TBR <54 mg/dL is an interesting finding. Given the baseline clinical characteristics, it is unlikely that the study participants had impaired awareness of hypoglycemia at baseline. A recent meta-analysis on the rate of PBH concluded that it is more prevalent than currently believed and is comparable after RYGB and SG, although glucose variability is higher after RYGB [9]. Given that majority of the participants in Kim et al.’s study underwent SG [8], it could be expected that the asymptomatic nocturnal pattern of PBH, which is less symptomatic than the postprandial PBH frequently observed after RYGB [6], would be the dominant type of PBH in the study population. With a lower amplitude of glucose excursions, the nocturnal patterned PBH in SG would cause less symptomatic hypoglycemia. An alternative explanation for the lack of symptomatic hypoglycemia in the vast majority of participants in Kim et al. [8] is the use of the first generation of isCGM devices, which could have been less accurate than the latest devices. However, the reported accuracy of the device based on Clarke error grid analysis, in which 99.4% of glucose values were in zones A and B, indicates that the accuracy of the device was not a major influence on the study results. Therefore, the substantial increase in nocturnal TBR <54 mg/dL despite the lack of symptoms of hypoglycemia in Kim et al.’s study is consistent with a recent study revealing differential patterns of PBH according to type of metabolic surgery [6]. Given the increased all-cause mortality and major adverse cardiovascular events with clinically significant (level 2) hypoglycemia [10], the results of Kim et al. [8] highlight the importance of early detection of clinically significant but asymptomatic PBH by CGM, especially in patients who undergo SG.
  10 in total

1.  Hypoglycemia after Roux-En-Y gastric bypass: detection rates of continuous glucose monitoring (CGM) versus mixed meal test.

Authors:  Ronald Kefurt; Felix B Langer; Karin Schindler; Soheila Shakeri-Leidenmühler; Bernhard Ludvik; Gerhard Prager
Journal:  Surg Obes Relat Dis       Date:  2014-11-13       Impact factor: 4.734

2.  Rate of post-bariatric hypoglycemia using continuous glucose monitoring: A meta-analysis of literature studies.

Authors:  Roberta Lupoli; Erminia Lembo; Carmen Rainone; Luigi Schiavo; Antonio Iannelli; Matteo N D Di Minno; Brunella Capaldo
Journal:  Nutr Metab Cardiovasc Dis       Date:  2021-09-25       Impact factor: 4.222

3.  Effects of Patient-Driven Lifestyle Modification Using Intermittently Scanned Continuous Glucose Monitoring in Patients With Type 2 Diabetes: Results From the Randomized Open-label PDF Study.

Authors:  Hun Jee Choe; Eun-Jung Rhee; Jong Chul Won; Kyong Soo Park; Won-Young Lee; Young Min Cho
Journal:  Diabetes Care       Date:  2022-10-01       Impact factor: 17.152

4.  Continuous glucose monitoring in subjects undergoing bariatric surgery: Diurnal and nocturnal glycemic patterns.

Authors:  Roberta Lupoli; Erminia Lembo; Paola Ciciola; Luigi Schiavo; Vincenzo Pilone; Brunella Capaldo
Journal:  Nutr Metab Cardiovasc Dis       Date:  2020-07-11       Impact factor: 4.222

Review 5.  Hypoglycemia After Gastric Bypass Surgery: Current Concepts and Controversies.

Authors:  Marzieh Salehi; Adrian Vella; Tracey McLaughlin; Mary-Elizabeth Patti
Journal:  J Clin Endocrinol Metab       Date:  2018-08-01       Impact factor: 5.958

6.  Glycemic Patterns Are Distinct in Post-Bariatric Hypoglycemia After Gastric Bypass (PBH-RYGB).

Authors:  Daniel Lee; Jonathan M Dreyfuss; Amanda Sheehan; Alexa Puleio; Christopher M Mulla; Mary Elizabeth Patti
Journal:  J Clin Endocrinol Metab       Date:  2021-07-13       Impact factor: 5.958

Review 7.  Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.

Authors:  Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

Review 8.  Continuous glucose monitoring in the hospital: an update in the era of COVID-19.

Authors:  Chikara Gothong; Lakshmi G Singh; Medha Satyarengga; Elias K Spanakis
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2022-02-01       Impact factor: 3.243

9.  Effect of Continuous Glucose Monitoring on Glycemic Control in Patients With Type 2 Diabetes Treated With Basal Insulin: A Randomized Clinical Trial.

Authors:  Thomas Martens; Roy W Beck; Ryan Bailey; Katrina J Ruedy; Peter Calhoun; Anne L Peters; Rodica Pop-Busui; Athena Philis-Tsimikas; Shichun Bao; Guillermo Umpierrez; Georgia Davis; Davida Kruger; Anuj Bhargava; Laura Young; Janet B McGill; Grazia Aleppo; Quang T Nguyen; Ian Orozco; William Biggs; K Jean Lucas; William H Polonsky; John B Buse; David Price; Richard M Bergenstal
Journal:  JAMA       Date:  2021-06-08       Impact factor: 56.272

10.  Glucose Profiles Assessed by Intermittently Scanned Continuous Glucose Monitoring System during the Perioperative Period of Metabolic Surgery.

Authors:  Kyuho Kim; Sung Hee Choi; Hak Chul Jang; Young Suk Park; Tae Jung Oh
Journal:  Diabetes Metab J       Date:  2022-01-24       Impact factor: 5.893

  10 in total

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