Abstract
Background
Bariatric surgery improves glucose homeostasis; however, side effects such as hypoglycemia can occur. We investigated the effects of meals on interstitial glucose (IG) response in biliopancreatic diversion with duodenal switch (BPD-DS) and Roux-en-Y gastric bypass (RYGBP)-operated patients at least 1 year after surgery.
Methods
Thirty patients treated with BPD-DS or RYGBP were recruited at the outpatient Obesity Unit, Uppsala University Hospital. IG was measured by continuous glucose monitoring (CGM) for 3 consecutive days, and postprandial IG levels from 5 to 120 min were analyzed for 2 of these days. All intake of food and beverages was simultaneously registered in a food diary, which was processed using The Meal Pattern Questionnaire.
Results
Postprandial IG levels were significantly lower in BPD-DS (n = 14) compared to RYGBP (n = 15)-treated patients, with mean concentrations of 5.0 (± 1.0) and 6.3 (± 1.8) mmol/L respectively (p < 0.001). The mean postprandial IG increment was lower in BPD-DS than in RYGBP patients, 0.2 (± 0.6) vs. 0.4 (± 1.4) mmol/L (p < 0.001). Furthermore, the postprandial IG variability was less pronounced in BPD-DS than in RYGBP patients. The mean number of daily meals did not differ between the two groups, 7.8 (± 2.6) in BPD-DS and 7.2 (± 1.7) in the RYGBP (p = 0.56).
Conclusion
BPD-DS patients demonstrated lower postprandial IG concentrations, with smaller postprandial IG increments and less pronounced postprandial IG variability compared to RYGBP patients. The two groups had similar meal pattern and the postprandial IG responses is probably associated with differences in postoperative physiology.
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Introduction
In Sweden, about 6000 patients with morbid obesity are treated annually with bariatric surgery. Primary laparoscopic Roux-en-Y gastric bypass (RYGBP) is performed in 55% of these cases. biliopancreatic diversion with duodenal switch (BPD-DS) is most often reserved for patients with BMI > 50 kg/m2 and accounts for less than 1% of all bariatric surgery [1].
Both of these bariatric methods result in improved or normalized glucometabolic status [2, 3]. However, there are also glucometabolic side effects such as postprandial hyper- and hypoglycemia [4,5,6,7,8]. We have previously reported that patients treated with RYGBP have much higher diurnal glycemic variability when compared to patients treated with BPD-DS [9]. Hypoglycemic episodes occurred in both groups of patients; however, the time spent in hypoglycemia was longer in patients treated with BPD-DS, 85 vs. 42 min over 24 h [9]. In patients with low postoperative nutritional adherence, Varma et al. found a positive association between hypoglycemic symptoms and weight regain [10]. The long-term consequences of hypoglycemia and large glucose fluctuations after bariatric surgery are unknown, and evidence-based dietary recommendations to minimize these fluctuations after bariatric surgery are lacking [11, 12].
The aim of this study was to investigate meal patterns and postprandial interstitial glucose response in a free-living setting at least 1 year after RYGBP and BPD-DS surgery.
Material and Methods
Patients
Thirty patients treated with BPD-DS or RYGBP were recruited from the outpatient Obesity Unit, Uppsala University Hospital at least 1 year after surgery. One BPD-DS patient did not complete the food diary and was therefore excluded. None of the patients had a diagnosis of diabetes before or after surgery. Prior to surgery, all patients underwent a standard program of consultations with a specialist in internal medicine, a dietitian, and a psychologist and followed a 4-week low-calorie diet regimen.
Bariatric Surgery
In BPD-DS patients, the gastric sleeve was calibrated by a 36-French bougie and connected to a 250-cm-long alimentary limb consisting of the distal part of the ileum. The biliopancreatic limb, consisting of the remaining small bowel, was connected to the alimentary limb 100 cm proximal to the ileocecal valve. Lipids and fat-soluble nutrients are thus mainly absorbed in the most distal 100 cm of the small intestine [13,14,15].
Patients operated with RYGBP had a 15–30-ml gastric pouch connected to a 70-cm-long alimentary limb (Roux limb). The biliopancreatic limb was 30 cm long. Although nutrients will pass rapidly through the alimentary limb to a more distal part of the small intestine, absorption will occur in most of the small intestine [16].
Dietary Method
All patients were given the same type of dietary advice pre- and postoperatively and were recommended to take the same kind of multivitamin and mineral supplements, and vitamin B12.
During the study period, patients were instructed to live and eat as usual and record their intake of food and beverages in a food diary. Each patient was given information in how to record all their intake (food and beverage) in an open-ended food diary during 3 days. They were all kindly encouraged and reminded to include all eating occasions during the day and night. The dietary records were processed by the same dietitian (IN) using “The Meal Pattern Questionnaire” [17]. This questionnaire identifies all eating occasions; categorizes meals as main meals, light meals, snack meals, and drink-only meals; and gives information about meal frequency and the times when meals were consumed. Cooked meals, such as lunch and dinner, are defined as main meals. A double sandwich with a glass of milk is defined as a light meal, examples of snack meals are a single slice of bread with a glass of juice, or a pastry with coffee. Only energy-containing beverages are included in drink-only meals.
Continuous Glucose Monitoring
Continuous glucose monitoring (CGM) measures glucose levels in the extracellular interstitial fluid and the measured concentration of interstitial glucose (IG) is highly correlated to the circulating blood glucose level with a latency time of 5 to 10 min [18,19,20].
The CGM equipment used in this study (Medtronic Minimed IPRO-2, Northridge, CA) measures IG every 10 s to present the mean glucose values every fifth minute. The interstitial tissue was reached by a thin-wire sensor, which was inserted under the patient’s skin by the study nurse in accordance with the manufacturer’s instructions. The CGM equipment was calibrated with capillary blood glucose according to the manufacturer’s instructions. Patients measured capillary blood glucose at four random times daily with a maximum of 12 h between measurements. The Bayer CONTOUR (Leverkusen, Germany) glucose meter was used for this calibration. The CGM registration was performed for 3 consecutive days. After uploading measurements to the Carelink software program (Medtronic), data was exported to Microsoft Excel.
Fasting and postprandial IG values over a 120-min period after meals were analyzed and, according to Kropff et al., the second and third day of CGM were analyzed to avoid methodological issues [20].
Postprandial IG concentration was predefined as high when at least three consecutive glucose values were over 7.8 mmol/L and low when at least three consecutive IG values were below 3.3 mmol/L, between 5 and 120 min after meals [4, 21].
Biochemical Measurements
Blood samples were analyzed at the Department of Clinical Chemistry at the Uppsala University Hospital. Fasting blood tests were performed in the morning before the application of the CGM. Insulin sensitivity was assessed by the homeostatic model assessment-estimated insulin resistance (HOMA-IR index) calculated as (fasting insulin (mU/L) × fasting glucose (mmol/L)) / 22.5 [22].
Statistical Analysis
Meals were analyzed as the total number of meals per person per day and divided into four meal types (main meals, light meals, snack meals, and drink-only meals). Predefined periods during the day and night were used to describe the diurnal distribution of meals over time. The postprandial IG response was analyzed after main meals as well as after all meal types together. Results are presented as mean values and standard deviations. A two-sample t test was used to compare means between groups and a chi-square test for distribution of meals. Because of significant differences in variance between glucose measurements in the BPD-DS and RYGBP group, a two-tailed t test for unequal variance was used for group comparisons. A p value of < 0.05 was considered significant for all analyses. We used SPSS Statistics for Windows version 23 (IBM Corporation).
Results
Patients
BPD-DS patients demonstrated a larger reduction in BMI after surgery as well as lower circulating glucose and HbA1c levels when compared to RYGBP patients (Table 1).
Meal Pattern and Meal Types
The mean number of meals per person per day was similar in the two groups, 7.8 (± 2.6) and 7.2 (± 1.7) for BPD-DS and RYGBP respectively (p = 0.56). There were no significant differences regarding the distribution of meal types (Fig. 1a) (p = 0.77) or the diurnal distribution of meals (Fig. 1b) (p = 0.76).
CGM Results After Main Meals
No difference was seen in the number of main meals per person per day, 1.9 (± 0.4) and 1.6 (± 0.6) for BPD-DS and RYGBP patients respectively (p = 0.26). The variability between individual IG changes after main meals was less pronounced in BPD-DS patients (Fig. 2). We obtained peak IG values and maximum IG increments for all main meals. The mean of the peak IG concentration was significantly lower after BPD-DS compared to RYGBP, 5.4 (± 1.3) and 7.5 (± 1.8) mmol/L respectively (p < 0.001). The mean of the maximum IG increment was 0.8 (± 0.5) mmol/L in the BPD-DS group and 1.8 (± 1.4) mmol/L in the RYGBP group (p < 0.001) with no difference in time to peak, 60 (± 34) vs. 58 (± 34) min (p = 0.74).
CGM Results Before and After All Meal Types
BPD-DS patients had significantly lower mean preprandial (Table 2) and overall mean postprandial IG concentrations compared to RYGBP-operated patients. The overall mean postprandial IG concentration was 5.0 (± 1.0) and 6.3 (± 1.8) mmol/L in BPD-DS and RYGBP patients respectively (p < 0.001). The mean postprandial IG increment was lower in BPD-DS than in RYGBP patients, 0.2 (± 0.6) vs. 0.4 (± 1.4) mmol/L (p < 0.001).
BPD-DS patients showed significantly lower mean postprandial IG levels at all time points as well as a significantly less pronounced mean change in postprandial IG concentrations at 15, 30, 45, 60, and 75 min when compared to RYGBP (Table 2, Fig. 3a, b).
When studying the postprandial IG peak levels for every meal and person, only one BPD-DS patient was found to have a value above 7.8 mmol/L, while all but one of the RYGBP patients had values above 7.8 mmol/L. Nine RYGBP individuals had levels above 9.0 mmol/L, which is the target glucose level for postprandial glucose in patients with diabetes. No significant correlations were found between the number of meals or insulin sensitivity and the postprandial IG peak values.
Low IG concentrations were recorded in four patients in the BPD-DS group but in only one RYGBP patient when postprandial IG levels were further analyzed.
Discussion
In everyday living conditions, BPD-DS-treated patients showed significantly lower preprandial and postprandial IG levels and less pronounced postprandial IG change compared to RYGBP. Furthermore, patients treated with BPD-DS demonstrated much less pronounced postprandial IG variability.
No intergroup differences were observed regarding meal types, meal frequency, or the daily distribution of meals. Nor did we find any correlation between the number of meals and the postprandial IG peak levels. Thus, factors other than the frequency and distribution of meals must explain the observed differences in postprandial IG response.
The RYGBP-treated patients in this study reported a higher meal frequency than those in the study by Laurenius et al. who reported consumption of 5.4 meals per day 2 years after RYGBP surgery [23]. Since drink-only meals accounted for just 0.6 of the total number of daily meals in our study, the difference is only partly explained by the fact that Laurenius et al. excluded drink-only meals in their analysis. In fact, the dietary advice given may vary between different bariatric clinics, which might be an important reason for the difference in meal frequency observed in the two studies. The optimal meal frequency after bariatric surgery is unknown. Moize et al. recommend three main meals and two snack meals a day, while Suhl et al. recommend a healthy meal or snack every 3–4 h to prevent hypoglycemia [12, 24]. However, the higher meal frequency found in our study did not exclude hypoglycemia, since four BPD-DS patients and one RYGBP had IG values below 3.3 mmol/L during the 2-h postprandial period. These observations imply that a less pronounced postprandial IG variability does not necessarily protect BPD-DS patients against hypoglycemia, probably due to a reduced safety margin.
Reports on postprandial IG response in BPD-DS-operated patients are scarce, but the present results are in accordance with Roslin et al. who reported that BPD-DS results in a less pronounced glucose and insulin response as well as much lower glucose variability during oral glucose tolerance testing compared to RYGBP [7]. Johansson et al. reported that BPD-DS treated subjects showed a similar glucose and insulin response to a normal food test meal when compared to normal-weight controls [25]. The observed high postprandial IG variability after RYGBP is in line with previous protocols [4, 5, 8, 26].
The large degree of IG change and variability observed in RYGBP-operated patients may lead to hypoglycemic symptoms and increased snacking [10]. A higher energy intake might impair long-term weight loss and induce weight regain [10]. Weight regain has been found to be one of the factors predicting relapse of type 2 diabetes mellitus in RYGBP [27]. Studies in patients with prediabetes and morbid obesity have shown that glucose variability increases progressively as the patients develop type 2 diabetes [28]. A low glucose variability was consequently found to be a good predictor for long-term remission of type 2 diabetes at least 5 years after bariatric surgery [29].
According to the International Diabetes Federation, plasma glucose seldom rises above 7.8 mmol/L in people without diabetes, and the target for postprandial glucose in people with diabetes is below 9.0 mmol/L [21]. Since none of the patients in our study had diabetes preoperatively, it is noteworthy that all but one of the RYGBP-operated patients had postprandial IG levels above 7.8 mmol/L, with 60% of the subjects exceeding 9.0 mmol/L. Thus, it seems that a large proportion of RYGBPs have postprandial glucose variability similar to that seen in non-operated patients with type 2 diabetes [4]. These findings are of interest since postprandial hyperglycemia has previously been identified as an independent predictor of future cardiovascular events, even in non-diabetic subjects [30]. An increased glycemic variability has also been associated with an increased long-term risk for cardiovascular diseases in well-controlled patients with type 2 diabetes [31]. Although other counteracting mechanisms explain the reduction in cardiovascular mortality and diabetes incidence after RYGBP surgery, differences in postprandial IG variability should be evaluated in long-term studies.
The differences in postprandial IG excursions observed after BPD-DS and RYGBP are probably explained by procedure-related differences in anatomy and hormonal alterations [7, 32,33,34]. While the foregut and hindgut theory for improved glucose homeostasis is relevant in both procedures, the effect is more pronounced in BPD-DS, where the swift presentation of ingested nutrients into the ileum leads to a marked increase in hormones such as glucagon-like peptide-1 (GLP-1) and peptide YY (PYY) [33,34,35,36]. The improved glucose homeostasis is boosted by the more extensive bile diversion, since sodium from bile is required for sodium-glucose cotransporter [37], and fat malabsorption leads to lower levels of lipids and improved peripheral insulin sensitivity [13, 14, 25]. However, the mechanisms explaining the differences in postprandial IG variability are not yet fully understood.
At the time of our study, RYGBP and BPD-DS patients had a similar mean BMI but the patients treated with BPD-DS had a greater weight loss, as a consequence of this kind of surgery, implying a potential confounding factor. The BPD-DS patients had a longer mean time interval between surgery and inclusion in this study, which might affect the IG levels. However, Roslin et al. observed a similar blood glucose response as in our study when performing an oral glucose tolerance test in RYGBP and BPD-DS patients 6, 9, and 12 months after surgery [7].
A methodological limitation of CGM registration is that plasma glucose concentrations in the hypoglycemic range have been shown to be lower than the registered interstitial glucose levels both in patients with type 1 diabetes and in patients who have had bariatric surgery [20, 26]. However, the CGM method makes it possible to study variations in glucose concentrations over several consecutive days in a free-living setting. The fact that our study was performed in the everyday lives of the participants and can therefore demonstrate glucose variability during normal living conditions is, however, an unquestionable strength.
Since information regarding energy and macronutrient content of meals as well as the dietary glycemic index/load of the food products included is lacking in our study, these factors cannot be ruled out as contributors to the observed differences in postprandial IG response. Our group is investigating the significance of these factors for the postprandial glucose response in bariatric patients in an ongoing study.
Conclusion
Patients treated with BPD-DS demonstrated lower preprandial and postprandial IG concentrations as well as smaller postprandial IG alterations when compared to those treated with RYGBP. Furthermore, BPD-DS patients had less pronounced postprandial IG variability. Since both groups had similar frequency and diurnal distribution of meals, the differences in postprandial IG response seem to be associated with other factors, presumably the differences in postoperative physiology. The possible long-term consequences of the high glucose variability after RYGBP need further evaluation.
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Acknowledgments
We are grateful to Medtronic for the use of the IPRO-2 CGM and to Bayer for the use of the CONTOUR glucose meter. We thank statistician Jan Ifver at the Center for Clinical Research Dalarna for his valuable help.
Funding
The study was supported by the Center for Clinical Research Dalarna and Uppsala University (and the Center for Clinical Research Dalarna).
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The Regional Ethics Committee of Uppsala, Sweden approved the present study and all patients signed informed consents (Dnr 2011/063). All procedures in the study were in accordance with the ethical standards of the national ethical board and the 1964 Helsinki Declaration.
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Nilsen, I., Sundbom, M., Abrahamsson, N. et al. Comparison of Meal Pattern and Postprandial Glucose Response in Duodenal Switch and Gastric Bypass Patients. OBES SURG 29, 2210–2216 (2019). https://doi.org/10.1007/s11695-019-03826-3
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DOI: https://doi.org/10.1007/s11695-019-03826-3